• Member
• October 1, 2026

Problem Solver Solution Seeker Exchange

Shailendra jaiswal 

An Integrated Framework for Problem Discovery, Solution Generation, Cross-Domain Innovation, Experimentation and Impact

1. Executive Proposition

The Srijan Sanchar Problem Solver–Solution Seeker Exchange is a digital and human innovation infrastructure. It connects organisations that have problems (Solution Seekers) with researchers, faculty, students, startups, experts, innovators and other actors who hold relevant knowledge, capabilities, ideas or resources (Problem Solvers).

Its existing proposition is direct: Seekers bring real-world problems; Solvers bring solutions. The proposed next stage is broader. The Exchange becomes an orchestration system in which problems are structured, reframed and decomposed; matched with distributed capabilities; explored from multiple perspectives; transformed through cross-domain knowledge; tested; implemented collaboratively; and converted into reusable innovation knowledge.

Problem → Solver → Solution   becomes   Problem → Structure → Perspectives → Capabilities → Ideas → Recombination → Experiment → Validation → Implementation → Impact → Learning

Three commitments shape this version:

•     Honesty about novelty. Consistent with Srijan Sanchar’s principle of no false representation of novelty, the document does not claim that its primitives are new. The claim is a testable combination (Section 2).

•     Honesty about evidence. Every framework enters the Exchange as a hypothesis to be tested, not an assured capability (Sections 8 and 15).

•     An institution, not only an idea. An Exchange must work as a trusted, funded and governed organisation, so trust, IP, governance and operating model are treated explicitly (Sections 13 and 17).

•     A learnable structure. Problems, methods and capabilities are described in a shared, revisable coordinate system, so that evidence from each engagement can update what the Exchange knows (Sections 4 and 14).

2. Positioning and Prior Art

Problem-broadcast and open-innovation challenge platforms already exist, for example InnoCentive/Wazoku, NineSigma, HeroX and Innoget. So do technology-scouting marketplaces (for example Yet2), contest platforms (for example Kaggle and Topcoder), expert-network and research-profile systems, and public innovation programmes. This list is indicative, not a completed survey. Against that background, the elements of this architecture divide as follows.

Element	Established practice (borrowed)	What this architecture proposes (to be tested)
Problem intake	Challenge briefs posted by Seekers	A structured Problem Passport, with framing, prioritisation and partitioning completed before broadcast
Solver discovery	Open call; profile or keyword search	Capability Passports; structural as well as keyword matching; bidirectional search
Ideation support	Facilitated workshops, brainstorming, TRIZ-type methods, morphological analysis	A tiered framework path with built-in comparative testing (MPMA, AXIM, PAC, isomorphism, RISE) and a staged Insight-Generation Engine with explicit grounding gates (Section 9)
Classification	Domain-specific problem classifications; taxonomies of problem-solving activities; General Morphological Analysis	Shared Problem 5×5 and Method 5×5 coordinate systems, revised by evidence from engagements (Section 4)
Collaboration	Winner-takes-prize contests; consulting engagements	Solution constellations; recorded Contribution → Combination → Outcome
Evaluation	Judging panels	Grounding, coherence and value gates; blind independent scoring in the research pilot
Learning	Case studies; post-project reviews	Success Mode Records, FMSA and Innovation Memory feeding a staged knowledge graph

 

Neighbouring traditions. The proposed coordinate systems also sit among established traditions: taxonomies of problem-solving activities, domain-specific problem classifications, General Morphological Analysis, systems engineering, analogy-based design and inventories of thinking frameworks. These provide substantial precedent. The distinctive proposition is not any one of them but their integration into an exchange in which problem structure, method structure and capability structure are explicitly connected and continuously updated by evidence from actual engagements. The particular 5×5 grids are therefore presented as a proposed morphological coordinate system, not as an established universal taxonomy.

Position. The components are largely known. The candidate distinctiveness lies in the combination, especially structural matching, the tiered framework path with comparative testing built in, and the learning system. That is itself a hypothesis.

Discipline before any external claim. A formal prior-art search is to be run using the grounding discipline of Probabilistic AXIM v2: each element is classified as Known/Established, Emerging/Contested, or Grounded White Space, and only the last supports a novelty claim. Until then, external communication should describe the Exchange as a combination of established and new methods offered for testing.

3. The Fundamental Shift: One Canonical Flow

The Exchange uses one canonical flow of five phases, shown below. Phases iterate: exploration can return to framing, and a well-framed problem may enter at Explore or Mobilise. Direction B (Section 11) enters from the capability side.

Two different tests are kept apart. The RISE-based *structural stress test* asks whether an insight survives breakdown, regeneration and perturbation, before costly work begins. The *experiment* asks whether it works in reality.

4. Structural Coordinate Systems: Problem, Method and Capability Morphology

4.1 The idea

Beyond a simple Problem → Solver → Solution marketplace, a richer architecture represents the structural nature of a problem, identifies the cognitive operations that may transform it, locates capabilities able to perform those operations, tests the resulting solutions and learns from both success and failure. Five questions organise it:

•     Problem morphology: what kind of structural situation are we facing?

•     Method morphology: what cognitive operation might transform that situation?

•     Capability morphology: who or what can perform that operation?

•     Solution: what configuration emerges?

•     Experiment: does it survive contact with reality?

Twenty-five problem classes × twenty-five method classes give 625 possible Problem–Method relationships. The purpose is not to populate all 625 mechanically, but to collect evidence about which methods are useful for which structural problem classes.

4.2 The Problem 5×5

The problem taxonomy classifies the structural nature of a problem rather than its industry label. Rows describe how the problem manifests (State, Flow, Structure, Interaction, Evolution). Columns describe where it is located (Element, Process, Relationship, System, Environment). A real problem may occupy more than one cell; the matrix is a diagnostic coordinate system, not a rigid label.

	Element	Process	Relationship	System	Environment
State	Defective component	Poor process condition	Dysfunctional interaction	Undesirable system state	Adverse external condition
Flow	Component blockage	Process bottleneck	Coordination delay	Network congestion	Disrupted resource flow
Structure	Component design	Process architecture	Organizational / network structure	System architecture	Ecosystem configuration
Interaction	Component–component	Process–process	Actor–actor	Subsystem–system	System–environment
Evolution	Component degradation	Process drift	Relationship change	System transition	Environmental / systemic change

 

4.3 The Method 5×5

The method grid is a coordinate system for cognitive operations rather than a fixed list of 25 methods. Rows describe the intent (Discover, Structure, Transform, Generate, Prove); columns describe the operation (Observe, Decompose, Relate, Recombine, Experiment).

	Observe	Decompose	Relate	Recombine	Experiment
Discover	Observation / anomaly detection	Problem partitioning	Analogy / pattern recognition	Serendipitous synthesis	Exploratory experiment
Structure	Problem framing	Systems decomposition	Causal mapping	Morphological analysis	Hypothesis formation
Transform	Re-description	Boundary change	Multiple perspectives	PAC / representation transformation	Model testing
Generate	Brainstorming	Modular design	ICDIDF / isomorphism	TRIZ / combinatorial synthesis	Rapid prototyping
Prove	Evidence audit	Component testing	Benchmarking	Systems integration	Experiment / falsification / RISE

 

Indicative placement of the ten frameworks. The placement below is indicative and awaits author confirmation (Appendix B).

Framework	Method 5×5 cell(s)
Problem Framing	Structure × Observe
Problem Partitioning	Discover × Decompose
MPMA	Transform × Relate (multiple perspectives); Discover × Relate (analogy)
AXIM	Structure × Recombine (morphological analysis)
PAC	Transform × Recombine
Isomorphism-Enabled Interdisciplinarity (ICDIDF)	Generate × Relate
RISE	Prove × Experiment
Thought–Action Continuum	Generate × Experiment (rapid prototyping) through Prove × Recombine (systems integration)
VLSI	Generate × Decompose (modular design); Prove × Recombine (systems integration)
Recursive Pareto	No dedicated cell (prioritisation). A candidate gap, and so a possible taxonomy-innovation case (Section 14.5)

 

4.4 Capability morphology

The Method 5×5 gives Capability Passports a shared index. A capability can be stated as the operations it can perform (cells of the Method 5×5), the problem coordinates it has worked on, and its equipment and resources. Capability morphology as a separate grid is not yet specified; it is an open question (Section 18).

4.5 Use in the Exchange

•     The Problem Passport records primary and secondary Problem 5×5 coordinates, classified independently by at least two classifiers (Section 15.3).

•     At stage S3 the Interpreter uses the coordinates to shortlist candidate methods. At first this rests on expert judgement; it becomes evidence-informed as data accumulates.

•     Matching (Section 11) can run Problem → Operation → Capability: the coordinates suggest the operations likely to be needed, and Capability Passports state who can perform them.

•     Innovation Memory records coordinates, methods and outcomes so that the relationship between problem coordinates and useful methods can be examined (Section 14).

Hypothesis H-P: problem coordinates contain information about useful method choices. The test is in Section 15.3.

5. Participants and Service Tiers

Role	Function
Solution Seeker	An organisation, MSME, government body, corporation or other entity seeking a solution.
Problem Solver	A researcher, faculty member, student, startup, expert, entrepreneur or innovator able to respond.
Problem Interpreter	Converts an inadequately defined problem into a structured problem and prepares the Problem Passport.
Innovation Orchestrator	Connects capabilities, perspectives, experiments and actors; assembles solution constellations.
Validation / Implementation Partner	Provides laboratories, manufacturing capability, field environments, finance, IP support, incubation or market access.
Independent Evaluator	Scores submissions at the gates and in the research pilot. Does not contribute to what is being scored and is not an author of the frameworks under test.

 

The same individual or organisation can occupy several roles, with one restriction: no one evaluates a submission they contributed to, and Interpreters and Orchestrators disclose their interests in an engagement.

Service tiers. Human Interpreter and Orchestrator capacity is scarce, so it is itself allocated by leverage (the Recursive Pareto principle applied to the Exchange’s own resources).

Tier	What the Seeker receives	Suited to
1. Guided	Self-serve, AI-assisted framing and the standard path; human review at gates only	Routine or lower-leverage problems; high volume
2. Interpreted	A human Interpreter prepares the Passport and runs the standard path	Moderately complex problems
3. Orchestrated	Full orchestration: constellations, experiments, implementation partners	High-leverage, partitioned problems

6. Passports and Core Objects

6.1 The Problem Passport

Every significant challenge entering the Exchange acquires a Problem Passport.

•     Identity: problem ID; owner; sector; geography; scale.

•     Situation: observed phenomenon; desired outcome; current condition; known causes; unknown causes; constraints.

•     History: existing solutions; previous attempts; failed attempts.

•     Resources and value: available assets; missing capabilities; economic, social and environmental value.

•     Terms: time horizon; technology readiness; IP status; success criteria; required expertise; potential collaborators; experiment possibilities; reward or opportunity.

•     Coordinates: primary and secondary cells in the Problem 5×5 (Section 4.2), with the classifier recorded.

•     Disclosure tier: which fields are visible to whom (Section 13). Framing status: draft, reviewed or approved; approval is Gate G1.

6.2 The Capability Passport

A conventional CV describes what a person has done. A Capability Passport describes what a person can contribute, and states how strongly each claim is evidenced.

•     Operations performed: the Method 5×5 cells (Section 4.3) the holder can perform, and the Problem 5×5 coordinates previously worked on.

•     Domain and technical expertise; research, prototype and experimentation capability.

•     Equipment, laboratory and manufacturing access; software, materials and previous solutions.

•     Problems previously solved (described by structure as well as by topic; see Section 11); available time and location.

•     Collaboration preference; commercialisation and IP capability; mentoring and cross-domain interests.

•     Evidence level: self-declared; endorsed by a peer or institution; or evidenced by prior work or a verified test.

Personal and organisational data. Passports contain personal and commercial information. Consent, purpose limitation and access control are required, and legal review against applicable law, including India’s Digital Personal Data Protection Act, 2023, is needed before launch.

6.3 The Method Passport

Each method used in the Exchange, including each of the ten frameworks, has a Method Passport. Evidence fields start empty and fill from engagements.

•     Method and trigger conditions (when it should be considered).

•     The transformation it performs; inputs and outputs.

•     Applicable problem classes (Problem 5×5 coordinates) and its Method 5×5 cell(s).

•     Evidence of use and outcomes; known failure modes.

6.4 The Solution Passport

Each candidate solution carries a Solution Passport from submission to outcome.

•     Proposed configuration and contributors.

•     Assumptions, experiments and evidence.

•     Grounding classification (Section 10), implementation record and outcome.

•     For Insight-Engine outputs, an Insight Record: before and after representations and the hidden relation revealed (Section 9).

6.5 Innovation Memory

Innovation Memory is the persistent graph connecting problems, methods, capabilities, analogies, solutions, experiments, failures and outcomes. It is described in Section 14.

7. The Role of AI

The Exchange adopts a human–AI division of labour: the human supplies purpose, judgement, values and selection; the frameworks supply explicit cognitive structure; AI supplies abundant generation. The frameworks then make intermediate structures (alternatives, tests, failures, invariants) visible to humans for review, challenge and correction.

This is the Intelligence Legibility principle: implicit AI capability should become visible, inspectable, challengeable, traceable and governable. It is not the same as exposing an AI system’s internal computation.

Task	AI assistance	Human decision	Legibility requirement
Passport drafting	Draft Problem and Capability Passports from documents or interviews	Owner confirms	Fields marked AI-drafted or owner-confirmed
Framing and partitioning	Propose alternative framings and partitions	Interpreter selects	All alternatives retained in the record
Coordinate classification	Propose Problem 5×5 cells and Method 5×5 placements	Interpreter confirms; a second classifier works independently	Both classifications and their agreement are logged
Perspectives, analogies, axes	Generate source domains, analogies and candidate axes	Facilitator curates	Provenance of each item logged
Candidate matching	Propose matches at keyword, structural and isomorphic levels	Orchestrator approves	Match rationale displayed
Prior-art check	Search and classify	Evaluator confirms	Sources and rights flag stored
Structural stress test	Run breakdown and regeneration probes	Evaluator judges	Probe results shown

 

•     No AI-generated item enters a Solution Portfolio without passing the grounding gate and human sign-off.

•     AI contributions are recorded in the Contribution Ledger distinctly from human contributions.

•     In the Insight-Generation Engine, AI supplies generation across routes while humans supply selection. Recombination is guided rather than random, so the selection rationale is logged (Section 9.6).

•     The research pilot includes AI-only comparison arms (Section 15), so the frameworks are tested against AI practice, not only against unaided practice.

Open question. In AI-abundant conditions the value of generating ideas may fall. The Exchange’s durable value may lie more in framing, grounding, matching, testing and implementation, where human and institutional roles remain. The pilot should watch for this.

8. The Ten Frameworks

The ten frameworks are of uneven maturity. Each is therefore given a maturity rating and a tier, so that no Seeker is required to use all ten. Maturity legend: M0 concept; M1 documented working methodology; M2 applied in real cases; M3 comparatively validated. None has yet been comparatively validated inside the Exchange, so every effect below is a hypothesis [H]. The maturity ratings are provisional (Appendix B).

#	Framework	Question and role in the Exchange	[H] Effect and metric	Maturity / tier
1	Problem Framing	What is the real problem worth solving? Moves from observation to gap, causes, perspectives, reframing and an actionable problem.	Better problem statements; less wasted solver effort. Metric: Passport quality score; solver clarification queries; share of problems reframed.	M1 · Standard
2	Recursive Pareto / ABC / Double-A Analysis	Where is the leverage? Concentrates attention on high-value elements while recognising the limits of over-concentration. Also allocates the Exchange’s human capacity (Section 5).	Higher leverage per unit of search effort. Metric: share of eventual value traceable to prioritised elements (retrospective).	Base technique M3; Srijan extension M1 · Standard
3	Problem Partitioning	How can a complex problem be divided into solvable structures? Creates subsystem, interface and integration problems as separate opportunities.	More entry points for specialists; easier collaboration. Metric: distinct contributors per partitioned problem; sub-problem solve rate.	M1 · Standard
4	MPMA — Multiple Perspective through Multiple Analogy (2013)	What does the problem look like from other domains? Multiple source domains are structured first and applied to the target afterwards.	Wider idea diversity. Metric: Perspective Yield against baseline arms.	M2 · Standard
5	AXIM — Autonomous Axis Identification Methodology, with Probabilistic AXIM (Grounded Surprisal)	Along what independent dimensions can the problem vary? Derives problem-specific axes. The grounding gate (Section 10) is its prior-art discipline.	Larger structured possibility space. Metric: axes accepted by experts as independent; configurations surviving the grounding gate.	M1 · Experimental arm
6	PAC — Projective Analytic Continuity	What whole could account for this partial observation, and what if the problem is represented differently? Supplies representation-transforming operators (shifting, inversion, decomposition, recombination, translation, boundary change).	Reframing; new solution architectures. Metric: accepted new representations; Perspective Yield; downstream implementation.	M1 · Experimental arm
7	Isomorphism-Enabled Interdisciplinarity (ICDIDF)	Where does another discipline already hold the same underlying structure? Searches for structural equivalence, not surface similarity. Also drives structural matching (Section 11).	Unexpected capability discovery. Metric: structural-match acceptance against keyword baseline; cross-domain transfers realised.	M1 · Experimental arm
8	RISE — Recursive Invariant Synthesis for Essence	What survives? In the Exchange it serves as the structural stress test: breakdown, regeneration and stability under perturbation.	Fewer false positives reaching costly experiments. Metric: false-positive rate at experiment stage; agreement between RISE robustness and later outcomes.	M1 · Experimental arm
9	Thought–Action / Idea-to-Product Continuum (incl. Thought-Action Network)	How does insight become implementation? Pathway from thought through concept, design, prototype and experiment to deployment, with feedback loops.	Fewer engagements ending at ideation. Metric: Cognitive Conversion Rate; stage-to-stage drop-off.	M1 · Standard
10	VLSI — Very Large Scale Innovation	How can distributed capabilities work together? Builds solution constellations across industry, academia, startups, laboratories, investors and implementation partners.	Coordinated capacity from individual contributions. Metric: constellation completion rate; time to pilot.	M1 · Conditional (partitioned problems needing three or more contributor types)

 

Tiers. The standard path (1, 2, 3, 4, 9) applies to every engagement. The experimental arms (5, 6, 7, 8) are assigned by the research design (Section 15) so that their contribution can be measured. The Insight-Generation Engine (Section 9) sequences these arms into one procedure. Framework 10 is conditional on problem structure.

9. The Insight-Generation Engine

9.1 Premise and working definition

Working definition. An insight is a change in represented structure that reveals a hidden relation.

Premise. Insight generation need not start from an invariant or essence. It can start by generating and preserving non-obvious configurations of a problem space, and by restructuring the representation itself. RISE and the search for invariants are optional when the aim is discovery through representational restructuring. In the Exchange, RISE keeps its separate role as the structural stress test (Section 3).

9.2 Architecture

The engine was developed as a chain: P-AXIM (Probabilistic AXIM) generates surprisal; morphological AXIM recombines the surviving surprisals as axes and building blocks (“surprisals of surprisals”), recursively and without early abstraction; PAC supplies transformation operators applied directly to the surprising configurations; AX-P applies those operators to a target domain decomposed through AXIM; AXIM then recombines the transformed configurations. Feasibility is tested separately, by a Reality Vector. In the Exchange the procedure runs as follows.

#	Step	Function	Main frameworks	Exchange stage
1	Entry check	Decide whether the engine is warranted and record the entry condition. Catastrophe-type diagnostics are a candidate aid, still to be tested.	Problem 5×5 coordinates; Problem Passport	S1–S2
2	STRIP-pass decomposition	Strip conceptual overlay and decompose the target problem into axes.	AXIM; subtractive route	S3
3	Parallel generative routes	Run the routes in Section 9.3 side by side.	AXIM, PAC, MPMA, isomorphism	S3
4	Reality Vector	Test feasibility separately from surprise. Feasibility is conditional on reachable capabilities: a configuration infeasible today but feasible with a reachable contributor stays in the exploratory population.	Problem Passport constraints; Capability Passports	S4–S5
5	Exit check	Type the kind of representational transition. A catastrophe-type typology is the candidate; it is used as a diagnostic only.	RISE structural stress test	S6
6	Gates G, C, V	Grounding, coherence and stakeholder value (Section 10).	Probabilistic AXIM v2 grounding discipline	S5–S7
7	Validation	Empirical experiment and blind independent scoring.	Thought–Action Continuum	S7

 

9.3 Generative routes

Route	Direction	Mechanism	Status
Surprisal and recombination	Additive, combinatorial	Probabilistic AXIM generates surprisal; morphological AXIM recombines the surviving surprisals.	In the process run on cases
Operator transformation	Representation-changing	PAC operators applied to surprising configurations; AX-P operators applied to the decomposed target domain.	In the process run on cases
Subtractive	Reductive	Strips conceptual overlay (a Vipassana-type route), distinct from the additive routes.	In the process run on cases
Cross-domain structural	Relational	MPMA and isomorphism carry structure across domains.	In the process run on cases (placement to be confirmed)
Symmetry-Invariant Scan	Mechanisable	Enumerate domain transformations, test which invariants hold, and flag any that are unnamed. Precedent: Noether’s theorem, already carried beyond physics into economics, machine learning and neuroscience.	Proposed; untested

 

Catastrophe typology. The elementary catastrophes of Thom and Zeeman are a candidate typology for exit criteria and entry diagnostics. Zeeman’s extension of catastrophe theory to the social sciences in the 1970s is a cautionary precedent of overreach, so the typology is used as a diagnostic, not as a claim about the problem.

9.4 The ten AX-P operators

The operators transform representations; they are not solutions.

#	Operator	#	Operator
1	Follow probability gradients	6	Let capacity migrate
2	Treat absence as a resource signal	7	Let participation amplify capacity
3	Shift participants from demand to supply	8	Let trajectory replace location
4	Anticipate future topology	9	Use uncertainty as a design input
5	Make infrastructure probability-dependent	10	Let prediction alter the predicted phenomenon

 

The operators were tested on a railway station decomposed into axes (passenger state, trajectory, time, spatial unit, density, service, resources, queues, mobility, information, infrastructure state, demand relationship, interaction, capacity logic and operating boundary). The test yielded representations such as the journey-shaped station, the probability landscape, the negative-space station and the dynamic service field around predicted trajectories. A distant-domain test is planned (Section 15.4).

9.5 Evidence to date

•     Cases. Four cases were compared: traffic, urban migration, multiple intelligence and story-based pedagogy, alongside the railway-station test.

•     Reported outputs. Structural Insight 03: intelligence may reside partly in the relationship between capability and representation. Structural Insight 04: story is not the unit of pedagogy; representational change is, with a Conceptual Convergence Network possibly more fundamental than story.

•     Recurring pattern. Across the four cases the same move recurred, from object to relation to network to dynamic transformation. The adopted formulation: “A phenomenon becomes more generative when we stop treating it as an object and begin examining the relationships and transformations through which it emerges.”

•     Caveat. The cases were run and judged by the author. The recurring pattern may be a property of the process rather than of the problems, which only independent facilitators working independent problems can show.

•     Next step. Compare the before and after representations from the cases for a common Representation-Change Operator Algebra.

9.6 Guidance and stopping rules

•     Recombination is guided, not random. Poincaré’s aesthetic-sieve account and the measured “guiding stage” of intuition (Bowers et al.) point to gradual, tacit coherence-sensing. Human selection therefore matters, and the selection rationale is logged for legibility.

•     Felt closeness is not a safe stopping signal. Metcalfe and Wiebe found that felt “warmth” does not rise gradually before real insight. The engine therefore stops on external rules (gates and pre-agreed criteria), never on the feeling of having an insight.

•     Two directions. The additive, combinatorial routes and the subtractive route are both kept available.

9.7 How the engine fits the Exchange

•     An arm, not a mandate. The engine sequences the experimental arms (AXIM, PAC, isomorphism, RISE) into one procedure. It is arm (g) in the research design (Section 15.2), not a mandatory step.

•     Insight Record. Each engine output carries its before and after representations and the hidden relation revealed, held in the Solution Passport.

•     Reality Vector and Capability Passports. As in step 4 above, feasibility is conditional on capabilities the network can reach.

•     Value half-life. At gate V the evaluator records a value half-life call: how long the value is expected to persist when idea generation is cheap. Calls are logged against outcomes to test the Value Architecture hypothesis.

•     [H-I1] The engine arm produces higher independently rated insight quality than the standard path.

•     [H-I2] The object → relation → network → dynamic-transformation pattern recurs when independent facilitators work on independent problems.

•     [H-I3] Value half-life calls predict outcomes better than a no-information baseline.

10. Stage Logic, Artefacts and Gates

Stage	Purpose	Frameworks	Output artefact	Gate
S1 Intake, framing and classification	Establish the real problem and its coordinates	1	Problem Passport with Problem 5×5 coordinates (draft to approved)	G1 Passport quality
S2 Prioritise and partition	Locate leverage; create tractable units	2, 3	Ranked, partitioned problem map	—
S3 Explore	Select methods from the Method 5×5; perspectives, axes, transformations, structural search	4, 5, 6, 7 (by tier)	Method choices logged; perspective set; axis set; candidate structures	—
S4 Mobilise	Match and assemble contributors	7, 10	Match list; constellation plan	Orchestrator approval with match rationale
S5 Portfolio and grounding	Consolidate solutions; check prior art	5	Solution Portfolio classified Known / Emerging / Grounded White Space	G Grounding gate
S6 Structural stress test and recombination	Separate robust from merely attractive	8	Stress-test report; recombined candidates	C Coherence gate
S7 Experiment and empirical validation	Test in reality	9	Experiment protocol and results	V Stakeholder value gate
S8 Implementation	Deploy and adopt	9, 10	Pilot or deployment record	Seeker’s adoption decision
S9 Learning	Record and learn	SMR, FMSA, SMIA	Success Mode Record; failure record; Innovation Memory entry	—

 

Gate definitions. The gates originate in the Insight-Generation Engine (Section 9) and are shared by all arms.

•     Grounding (G) is a hard constraint on what the Exchange may say about a solution, not a weighted score. Each candidate is classified as Known/Established, Emerging/Contested (closing fast) or Grounded White Space. Only the last may be described as new. Known items carry a source and rights flag.

•     Coherence (C): the candidate is internally consistent and survives the structural stress test.

•     Stakeholder Value (V): value to the named stakeholder, plus an externalities check beyond the named stakeholder.

11. The Bidirectional Exchange and Structural Matching

Direction A — Problem → Capability: “I have a problem. Who can help solve it?” Direction B — Capability → Problem: “I have a capability. What problems can it solve?” Together they make the word *Exchange* substantive: problems seek capabilities, and capabilities seek problems.

The Exchange aims to match Problem Structure with Capability Structure rather than keyword with keyword. This is the hardest technical claim, and it is specified as three levels:

Level	Basis of match	Role
L1 Attribute	Keywords, domains, equipment, location, availability	Baseline; always run
L2 Structural	The problem’s Problem 5×5 coordinates, partition, constraints and axes compared with the structure of problems the capability holder has previously solved	Tested against L1
L3 Isomorphic	A contributor from a different domain who has worked with the same underlying structure	Tested against L1 and L2

 

Levels L2 and L3 require a minimal shared structural vocabulary in both Passports (phenomenon, constraints, partition interfaces, axes). The Problem 5×5 and Method 5×5 coordinates are the proposed starting vocabulary. Hypothesis H-M: L2 and L3 matching surfaces qualified contributors that L1 misses, at acceptable precision. Test: run L1 alongside L2 and L3 on pilot problems and compare match acceptance and the contributions that reach the Solution Portfolio, under blind review. Fallback: if the vocabulary proves too costly to maintain, retain L1 with human-curated structure tags.

Method-mediated route. Problem coordinates suggest the operations likely to be needed (Method 5×5 cells), and the Capability Passport states which operations a contributor can perform. Matching can therefore run Problem → Operation → Capability as well as Problem → Capability directly. Whether this route adds value beyond L2 is a further test (Section 15.3).

12. Solution Constellations and the Contribution Ledger

A complex challenge may need a conceptual insight, engineering capability, laboratory validation, startup prototyping, industrial manufacturing and investment. The Exchange therefore records Contribution → Combination → Outcome rather than Winner → Prize.

Contributor	Contribution	Stage	Evidence	Outcome
Industry	Problem	Framing	Problem Passport	Challenge
Researcher	Structural insight	Explore	Submission	New concept
Student	Analogy	Explore	MPMA record	Design change
Laboratory	Experiment	Experiment	Test result	Evidence
Startup	Prototype	Development	Prototype	Pilot
Manufacturer	Scale-up	Implementation	Production record	Deployment
Independent Evaluator	Scoring	Gates	Score sheet	Gate decision
AI tool (recorded distinctly)	Generation or search	Any	Provenance log	Candidate items

 

From record to recognition. The ledger is a record. How contributions are recognised or rewarded is a separate mechanism. The Contribution Ledger Model (a threshold gate combined with a realisation share, developed for the TOYNOVA 2027 proposal) is the candidate mechanism, pending testing in the Exchange. Two design notes carry over. Contributions differ in kind (conceptual, experimental, developmental, manufacturing, capital), so a single scalar weight is unlikely to suffice. Early trust-building interactions should not be priced or tokenised in ways that undermine that trust.

13. Trust, IP, Confidentiality and Governance

•     Tiered disclosure. Each Passport field carries a disclosure tier. Illustrative tiers: T0 public signal (sector, need, opportunity); T1 structured summary for registered users; T2 detail released after agreement; T3 full detail restricted to selected contributors. To be aligned with the Opportunity Commons tiered-disclosure model.

•     IP principles. Default positions for each engagement type are published in advance. Background and foreground IP are distinguished. A contributor’s submission remains theirs unless assigned by agreement, and the Seeker’s data remains the Seeker’s. Ledger entries are evidence of contribution, not a transfer of rights. Standard agreements require legal counsel.

•     Innovation Memory access. Memory entries follow the same disclosure tiers as their source Passports. The knowledge graph learns from anonymised structural patterns, not from confidential content.

•     Conflicts of interest. Interpreter, Orchestrator and Evaluator roles are separated for any given engagement, and interests are disclosed.

•     Governance. An advisory body drawn from Seekers, Solvers, academia and legal expertise; published rules; a dispute-handling procedure; periodic audit of gate decisions.

•     Data protection. As Section 6.2.

14. The Learning System

14.1 Success Mode Record (SMR) and SMIA

The data and the analysis are kept separate. The Success Mode Record is completed for each engagement. Success-Mode Impact Assessment (SMIA) is the framework-level analysis run across records: it asks where a framework creates measurable advantage rather than whether it “works”. It uses seven candidate success modes (Understanding, Creation, Transformation, Communication, Decision-making, AI augmentation, Discovery), three impact levels (Cognitive, Generative, Outcome), an alternative-practice test comparing current practice, framework-assisted practice and AI-plus-framework practice, and a falsification requirement: for every claimed benefit, try to show the framework was unnecessary.

SMR dimension	Question
Problem	What was being solved?
Intervention	What was actually done?
Framework	Which Srijan Sanchar method was used, at which stage?
Perspective	What new view changed the problem?
Capability and combination	Who contributed, and which capabilities were recombined?
Experiment and decision	What was tested, and what caused adoption?
Impact	What changed?
Time and cost	How long did it take and what resources were required?
Replicability and spillover	Can it work elsewhere, and what other problems can it address?
Value half-life call	How long was the value expected to persist under cheap idea generation, and what happened? (Section 9.7)
Counterfactual	What would current practice or an AI-only approach likely have produced?

14.2 FMSA

Failure Mode Success Analysis is used at two points. *Prospectively* (as published): a project is deconstructed into modules, failure modes are identified for each, and the alternative success paths each module could yield even if the overall project fails are scored. In the Exchange this runs before spend at S4 and S7. *Retrospectively* (an extension proposed here): when an attempt fails, the record captures the failure mode, the underlying condition, the success condition that would have been necessary, the relevant framework response and the improved protocol. Example: a technology works technically but cannot be manufactured economically. Instead of recording “solution failed”, the record captures the manufacturing-cost condition and the protocol change that would surface it earlier.

14.3 The learning loop and Innovation Memory

Exchange activity → success or failure → SMR / FMSA → success mechanisms and failure conditions → SMIA → knowledge update → framework improvement → better next problem

The Exchange maintains a permanent Srijan Innovation Memory recording: the problem, its Problem 5×5 coordinates and initial assumptions; reframing and subsequent understanding; search and solver selection; perspectives, frameworks and methods used (by Method Passport); ideas generated and selection rationale; experiments and results; success and failure modes; contributions and contributors; outcome and impact; and transferability to other problems.

14.4 From records to a knowledge graph, in stages

Stage	Content	Proceed when
0 Structured records	Passports, SMRs, FMSA records, ledger entries in consistent formats	Records are complete and actually used in later engagements
1 Linked graph	Problems, problem coordinates, phenomena, constraints, frameworks, methods, perspectives, capabilities, people, laboratories, technologies, solutions, experiments, success modes, failure modes, applications and markets, linked by typed relations	Stage 0 data quality is verified and disclosure tiers are enforced
2 Inference and recommendation	Suggested matches, methods for a given problem coordinate, framework paths and likely failure modes for new problems	Recommendations outperform the L1 and human-only baselines in the pilot

14.5 The upgradable taxonomy

The coordinate systems are meant to change with evidence. Three kinds of innovation are distinguished.

Type	Meaning
Application innovation	An existing method is successfully applied to a new problem class.
Method innovation	An existing method is materially improved or adapted.
Taxonomy innovation	Experience reveals a new problem class, method class, axis or relationship.

Problem → Solution → Method extraction → Generalisable tool → New problem → Method improvement → Evidence → Taxonomy update

Change control (proposed). The taxonomy is versioned, starting at v0.1 when the pilot begins. A change is proposed when engagement records show a problem that fits no cell well, or a method that cannot be placed. It is accepted only with evidence from several engagements and independent review, and each change is logged with its rationale.

Long-term hypothesis. The accumulated body of Method Passports, Solution Passports, coordinates and outcomes could itself become a reusable solver. This corresponds to Stage 2 of the knowledge graph (Section 14.4) and is not assumed.

15. The Exchange as a Research Laboratory

Every problem is an opportunity to learn which framework works, in which type of problem, under what conditions, at what stage and with what measurable impact.

15.1 Research questions

•     RQ1. Does the standard path improve problem quality relative to conventional intake?

•     RQ2. Do the experimental arms (AXIM, PAC, isomorphism, RISE) raise Perspective Yield beyond the standard path, and for which problem types?

•     RQ3. Does structural matching find qualified contributors that keyword matching misses?

•     RQ4. Does the RISE stress test reduce false positives before experiment?

•     RQ5. Does the framework-assisted path improve implementation rate and impact against the alternatives, including AI-only practice?

•     RQ6. Do Problem 5×5 coordinates contain information about useful method choices, beyond a baseline that ignores them?

•     RQ7. Can independent classifiers place problems and methods reliably enough for the coordinates to be used?

•     RQ8. Does the Insight-Generation Engine produce higher-quality insights than the standard path, as rated blind and independently, and do value half-life calls made at gate V predict later outcomes?

15.2 Design

•     Comparison arms: (a) current practice; (b) generic AI prompting; (c) expert prompting or facilitation without Srijan frameworks; (d) standard path; (e) standard path with AI; (f) standard path plus experimental framework(s) with AI; (g) the full Insight-Generation Engine with AI. Not every arm runs on every problem; arms are allocated across matched problem classes.

•     Allocation: random or matched-pair assignment within problem classes, with the class recorded in the Problem Passport.

•     Blind independent scoring: evaluators who are not framework authors and do not know the arm, using a scoring sheet agreed in advance. Ideas are scored after the grounding gate.

•     Pre-registration: metrics, thresholds and stop rules are written down before the pilot begins.

•     Falsification requirement: for each claimed benefit, the evaluation actively tries to show the framework was unnecessary.

•     Scale caution: a small pilot gives indicative, not conclusive, evidence. Results are reported with uncertainty and are subject to independent review, since the framework set is largely single-author.

•     Participants: informed that they take part in a comparative study; confidentiality preserved.

15.3 Taxonomy validation study

This study tests the coordinate systems themselves (RQ6, RQ7 and, with Section 11, RQ3).

•     Sample. A controlled sample of historical problems with documented outcomes, together with live problems entering the pilot. Historical cases alone risk survivorship bias because failures are under-documented, so live problems are essential.

•     Independent classification. Each problem is classified on the Problem 5×5 by at least two classifiers who do not know the outcome; agreement is reported (for example Cohen’s kappa).

•     Methods and capabilities. Classify the methods actually used on the Method 5×5, and record the capabilities involved and the resulting solution and outcome.

•     Informativeness test. Test whether problem coordinates carry information about useful method choices by comparing predictions made from coordinates against a baseline that ignores them.

•     Matching comparison. Compare structural matching, and the method-mediated route, with keyword and attribute matching.

•     Failures. Record failures as carefully as successes.

•     Revision. Revise axes and cells when the evidence shows the taxonomy is inadequate (Section 14.5).

Sparse-data caution. 625 Problem–Method combinations far exceed what a pilot of 10–20 problems can populate. Analysis therefore begins at the level of the five problem rows, five problem columns, five method rows and five method columns, and moves to individual cells only where counts allow.

15.4 Validating the Insight-Generation Engine

This study supplies the independent test the engine currently lacks (RQ8; H-I1 to H-I3 in Section 9.7).

•     Blind-scoring packs. Before and after representation pairs from the engine arm and the comparison arms, scored by independent evaluators who do not know the arm, on whether the change reveals a relation absent from the before representation.

•     Independent adversarial review. Reviewers outside Srijan Sanchar examine the engine’s design before and after the pilot.

•     Distant-domain test. The ten AX-P operators are tried on problems far from the railway station, run by facilitators other than the author.

•     Cross-case comparison. Compare representation changes across cases to see whether a common Representation-Change Operator Algebra exists or the pattern is produced by the process.

•     Value half-life log. Calls recorded at gate V are compared with outcomes at a fixed horizon (for example 12 months).

•     Status rule. The engine leaves Structural Ring status only on criteria agreed before the pilot. Until then it is reported as an untested single-author synthesis, with indicative results.

16. Metrics

Family	Metric	Operational definition
Input	Coverage	Problems, solvers, capabilities, disciplines and organisations registered.
Process	Framing and matching	Problems framed and partitioned; perspectives generated; matches proposed and accepted. Match Precision = accepted matches ÷ proposed matches, reported by level (L1, L2, L3).
Conversion	Cognitive Conversion Rate (CCR)	Actionable innovations ÷ registered engagements, measured at a fixed horizon (for example 12 months). An *actionable innovation* passes gates G, C and V and has a named implementation owner with committed resources. The denominator includes every registered engagement, abandoned ones too. Reported by problem class and service tier.
Conversion	Funnel	Shortlisted solutions, prototypes, pilots, adopted solutions, commercialised technologies, startups formed.
Learning	Perspective Yield (PY)	Independently rated useful solution directions ÷ structured perspective interventions. *Useful* means scored above a pre-agreed threshold in blind scoring and not classified Known at the grounding gate. Reported per intervention and per facilitation hour, and compared across arms.
Learning	Classification reliability	Agreement between independent classifiers on Problem 5×5 and Method 5×5 placements.
Learning	Coordinate informativeness	Improvement in predicting a successful method choice using problem coordinates, compared with a baseline that ignores them.
Learning	Coverage and revision	Cells with recorded evidence; taxonomy changes proposed and accepted.
Learning	Insight quality	Independent blind rating of before and after representation pairs: does the change reveal a relation absent from the before representation? Reported by arm.
Learning	Value half-life calibration	Share of value half-life calls borne out by outcomes at a fixed horizon (for example 12 months), against a no-information baseline.
Learning	Knowledge growth	Success modes and failure records logged; framework refinements; reusable insights; cross-domain transfers realised.
Impact	Outcomes	Cost reduction, revenue, productivity, social and environmental outcomes, jobs, IP and cluster-level effects; Seeker-reported and independently verified where feasible.

17. Operating Model and Pilot Phasing

17.1 Funding options (decision open)

•     Seeker fees by service tier.

•     Anchor sponsors, such as industry bodies and government programmes.

•     Grants and academic funding for the research pilot.

•     Success-linked shares through the ledger mechanism (Section 12).

•     Solver-side services such as mentoring and IP support.

17.2 Cold start

Begin with a bounded community around an existing programme where Seekers and Solvers already gather, for example the TAI–Srijan Sanchar TOYNOVA design challenges, in one or two sectors. Seed Capability Passports from existing participants, and run Direction B early so that Solvers see value before large numbers of Seekers arrive.

17.3 Phasing

Phase	Focus	Outputs	Decision gate
0 Foundation	Prior-art search; terminology lock; Taxonomy v0.1 freeze with classification guide; legal templates (IP, disclosure, data protection); scoring sheets; pre-registration	Prior-art classification; agreements; protocol; classification guide	Prior-art and legal review complete
1 Controlled pilot	A bounded set of real problems (indicatively 10–20) in one or two sectors, with arms allocated per Section 15, plus the taxonomy validation study (Section 15.3) and the engine validation study (Section 15.4); Tier 2–3 service	Passports, SMRs, ledger entries, classified problems and methods, blind-scored results and insight packs	Pre-agreed criteria met; independent review of results
2 Extension	Broaden sectors; add Tier 1 Guided service using the frameworks that proved worthwhile; refine matching	Service catalogue; matching performance data	Unit economics and Match Precision acceptable
3 Knowledge graph and network	Stage 1–2 graph; method and framework recommendations by problem coordinate; wider governance	Graph; recommendation service	Memory quality and governance verified

18. Risks and Open Questions

Risk	Why it matters	Mitigation
Framework overload for Seekers	Ten frameworks may intimidate or slow Seekers	Tiered path; Seekers see outputs rather than method
Human capacity bottleneck	Interpreters and Orchestrators are scarce	Service tiers; leverage-based allocation; legible AI assistance; training
Structural matching proves impractical	The shared vocabulary may cost too much	Keep L1 baseline; curated tags; test early
False precision from the grids	Twenty-five cells per grid can suggest certainty the evidence cannot support; 625 combinations are sparse	Label as proposals; analyse marginals first; versioned taxonomy with change control
Subjective classification	Different classifiers may place the same problem in different cells	Independent double classification; agreement reported; classification guide revised
Survivorship bias in historical cases	Failures are under-documented	Prioritise live problems; record failures as carefully as successes
Engine results over-read	Cases were run and scored by the author; felt insight is not a reliable stopping signal; the catastrophe typology could be over-applied	Blind scoring; independent review; external stopping rules; typology used as a diagnostic only
Circular evaluation	Framework authors scoring their own outputs	Independent blind evaluators; pre-registration
Over-claiming novelty or effect	Credibility and integrity	Prior-art gate; [H] labelling; status statement
IP and confidentiality disputes	Loss of trust	Tiered disclosure; standard agreements; legal counsel
Flood of low-quality or AI-generated submissions	Signal dilution	Grounding gate; evidence levels; submission limits
Cold start	Too few Seekers or Solvers	Anchor programme; Direction B first
Single-author dependence	The framework set is largely from one source	Independent adversarial review; compare against alternative methods such as TRIZ-type and generic morphological analysis
Innovation Memory leakage	Memory may hold confidential content	Tiered access; anonymised patterns only

 

Open questions. (1) What minimal structural vocabulary can Passports share? (2) Which problem classes benefit from which frameworks? (3) Which funding model fits which sector? (4) How should recognition differ across kinds of contribution? (5) Does the value of ideas hold up in AI-abundant conditions, and if not, where does the Exchange’s value sit? (6) Which axes or cells will prove inadequate, and what should replace them? (7) How should capability morphology be defined as its own structure? (8) Which of the engine’s routes contribute independently, and which are redundant?

19. Strategic Proposition and Core Thesis

The Exchange should not be positioned merely as a platform for finding solutions. Its candidate deeper proposition is an innovation operating system for converting distributed knowledge into validated action, offered as a hypothesis for testing. Any distinctive capability would come from combining Problem Intelligence, Perspective Intelligence, Capability Intelligence, Cross-Domain Intelligence, Experimentation, Validation, Contribution Recognition and Innovation Memory.

The Exchange begins with “I have a problem. You may have a solution.” It then evolves: “We have a problem. Let us understand it better.” “Let us see it differently.” “Let us discover who, anywhere, understands some part of its structure.” “Let us combine those capabilities.” “Let us experiment.” “Let us understand why it succeeded or failed.” And finally: “Let us make what we learned available for the next problem.”

PROBLEM → INSIGHT → POSSIBILITY → COLLABORATION → EXPERIMENT → SOLUTION → IMPACT → LEARNING → NEW POSSIBILITY

Working thesis: from finding answers to building collective problem-solving intelligence. A mature Exchange could evolve from a platform that connects problems to people into an infrastructure that connects problem structures to methods, methods to capabilities, capabilities to solution constellations, and every outcome back into an evolving body of problem-solving knowledge.

PROBLEM MORPHOLOGY

↓

METHOD MORPHOLOGY

↓

CAPABILITY MORPHOLOGY

↓

SOLUTION CONSTELLATION

↓

EXPERIMENT & VALIDATION

↓

OUTCOME

↓

LEARNING

↓

UPDATED TAXONOMY

The central research proposition is not that the proposed 5×5 grids are already correct. It is that a structured coordinate system for problems and problem-solving methods may make collective innovation more searchable, comparable, testable and learnable.

The ultimate value of the Exchange is not the number of solutions it produces. It is the increasing problem-solving capacity of the network. A successful Exchange becomes more intelligent with every problem, solver, analogy, experiment, success, failure, contribution and implementation. The destination is the Srijan Sanchar Innovation Exchange:

Next step. Complete Phase 0 (prior-art search, terminology lock, legal templates, pre-registration), then run the controlled pilot in Section 17 and measure problem quality, solution diversity, solution validity, implementation rate and impact against the comparison arms, and score the engine’s outputs blind and independently. The Exchange can thereby become the empirical laboratory for a Srijan Sanchar Framework of Frameworks.

 

Appendix A. Terminology Register

Term	Full name or definition used here	Note
PAC	Projective Analytic Continuity	An earlier draft expanded it as “Perspective-Transform and Operator Architecture”; corrected.
AXIM	Autonomous Axis Identification Methodology; Probabilistic AXIM (Grounded Surprisal, v2)	An earlier draft expanded it as “Morphological Axis Methodology”; corrected.
RISE	Recursive Invariant Synthesis for Essence	Used here as the structural stress test; the wider essence-finding methodology is unchanged.
MPMA	Multiple Perspective through Multiple Analogy (2013)	Distinct from Structural Analysis (formerly “MPMA v0.1”).
SMIA	Success-Mode Impact Assessment	Framework-level evaluation; per-engagement data are Success Mode Records.
SMR	Success Mode Record	The per-engagement data that SMIA analyses.
FMSA	Failure Mode Success Analysis	Prospective use as published; retrospective use is an extension proposed here.
Success Mode Analysis	The inverse-FMEA loop in NPD 2.0	A distinct construct; not used in this document.
TAN	Thought-Action Network	Underlies Framework 9.
VLSI	Very Large Scale Innovation	Not the chip-design term; expanded on first use.
ICDIDF	[Expansion to be confirmed by the author]	Used here as Isomorphism-Enabled Interdisciplinarity (ICDIDF).
Problem 5×5	Proposed coordinate system for the structural nature of a problem (State, Flow, Structure, Interaction, Evolution × Element, Process, Relationship, System, Environment)	A proposal for testing, not an established taxonomy (Section 4.2).
Method 5×5	Proposed coordinate system for cognitive operations (Discover, Structure, Transform, Generate, Prove × Observe, Decompose, Relate, Recombine, Experiment)	Not a fixed list of 25 methods (Section 4.3).
Capability morphology	The structure of who or what can perform a given operation	Currently indexed by Method 5×5 cells; a separate grid is an open question.
Method Passport / Solution Passport	Records of a method’s triggers, transformation and evidence; and of a solution’s configuration, contributors and outcome	Sections 6.3 and 6.4.
Application / method / taxonomy innovation	A method applied to a new problem class; a method improved; a new class, axis or relationship revealed	Section 14.5.
Insight	A change in represented structure that reveals a hidden relation	Working definition (Section 9.1).
P-AXIM / AX-P	Probabilistic AXIM, which generates surprisal; and the operators applied to a target domain decomposed through AXIM	Sections 9.2 and 9.4.
Reality Vector	A separate feasibility test, conditional on capabilities the network can reach	Section 9.2.
STRIP-pass	Decomposition that strips conceptual overlay before generation	Section 9.2.
Insight Record	Before and after representations and the hidden relation revealed	Held in the Solution Passport.
Value half-life	A call on how long the value of an idea is expected to persist under cheap generation	Recorded at gate V (Section 9.7).
Structural Ring	A zone of the Living Architecture, alongside the Kernel and the Application Field	The engine is held here pending independent testing.
Contribution Ledger	A record of Contribution → Combination → Outcome (Section 12)	Distinct from the Contribution Ledger Model (threshold gate plus realisation share).
Opportunity Commons	Tiered-disclosure signal model	Referenced in Section 13.
Intelligence Legibility	The degree to which implicit AI capability becomes visible, inspectable, challengeable, comparable, traceable, reproducible, teachable and governable	Section 7.
CCR, PY	Cognitive Conversion Rate; Perspective Yield	Defined in Section 16.

Appendix B. Change Log and Items for Author Confirmation

B.1 Changes in Version 4.0

#	Change
1	Insight-Generation Engine added as Section 9, with its status stated: applied to several cases, not independently validated
2	Engine steps mapped to Exchange stages; Reality Vector tied to Capability Passports (Section 9.2)
3	Five generative routes (the fifth proposed) and the ten AX-P operators (Sections 9.3 and 9.4)
4	Evidence to date, with caveats, and guidance and stopping rules, including that felt confidence is not a stopping signal (Sections 9.5 and 9.6)
5	Insight Record in the Solution Passport; value half-life call at gate V (Sections 6.4 and 9.7)
6	Engine validation study (Section 15.4), RQ8, hypotheses H-I1 to H-I3, arm (g), new metrics, Phase 1 additions and a new risk
7	Terminology register extended (Appendix A); sections 9 onward renumbered

 

Carried forward from Version 3.0: the Problem 5×5 and Method 5×5 as proposed coordinate systems; capability morphology; Method and Solution Passports; method-mediated matching; the upgradable taxonomy; the taxonomy validation study. From Version 2.0: corrected terminology; effects stated as [H] hypotheses; structural stress test separated from empirical experiment; a specified research design; prior-art positioning; roles, service tiers, trust, governance and operating model; the role of AI; three-level matching; maturity ratings and tiers; one canonical flow.

B.2 Items awaiting author confirmation

•     Status of the 5×5 grids. The source summary describes both as proposals for testing. This version therefore carries them as hypotheses [H], not as validated taxonomies.

•     Validation status of the engine. It is described as applied to several cases but not independently validated, and Version 4.0 says so. If independent validation exists, please share it so the status can be upgraded.

•     Route list. Confirm the four routes in the tested process, the placement of the cross-domain structural route (Section 9.3), and whether the Symmetry-Invariant Scan should be included.

•     Stage grouping. Confirm how the engine’s stages are counted and grouped (Section 9.2).

•     Evidence section. Confirm the descriptions of the traffic and urban-migration cases, which are named but not summarised (Section 9.5).

•     Placement of the ten frameworks in the Method 5×5 (Section 4.3), including whether Recursive Pareto needs its own cell.

•     Capability morphology: whether it should become a separate grid.

•     Taxonomy v0.1 freeze and the proposed change-control rules (Section 14.5).

•     ICDIDF: the full expansion.

•     Maturity ratings (M0–M3) and tier assignments in Section 8 are provisional.

•     Framework 6: the transformation operators (shifting, inversion, decomposition, recombination, translation, boundary change) are kept under PAC. Please confirm whether they belong to PAC, to the Framework of Perspectives, or to another operator set.

•     VLSI: the description is carried over; a fuller definition would help.

•     Disclosure tiers in Section 13 are illustrative and should be reconciled with the Opportunity Commons model.

•     Pilot size (10–20 problems) and the 12-month CCR horizon are indicative.

•     Prior-art list in Section 2 is indicative; the formal search remains to be done.

Appendix C. Intellectual and Srijan Sanchar Lineage

C.1 Intellectual lineage

Tradition	Contribution
Classification	Underlying dimensions rather than surface names.
Systems thinking	State, flow, structure, interaction, feedback and dynamics.
Problem decomposition	Components, interfaces and integration problems.
Morphological analysis	Independent axes, possible states, constraints, feasible combinations and empty cells.
Analogy / structural isomorphism	Correspondence across domains based on underlying structure.
Representation transformation	Reframing, changing boundaries, decomposition or representation.
Combinatorial creativity	New configurations from previously separate structures.
Experimentation / falsification	Testing conceptual propositions against empirical reality.
Learning systems	Using outcomes and failures to update future problem solving.

C.2 Srijan Sanchar lineage

The proposal builds on Problem Framing, Problem Partitioning, Recursive Pareto, MPMA, AXIM, PAC, Isomorphism-Enabled Interdisciplinarity (ICDIDF), RISE, the Thought–Action Continuum, VLSI, Innovation Memory and the Contribution Ledger.

The Exchange’s L1 attribute, L2 structural and L3 isomorphic matching provides a direct bridge between problem structure and capability discovery.

The From Idea to Value methodology contributes conceptual lineage, structural analogy, probabilistic synthesis, a morphological possibility space, constraints, alternative futures and option value. The proposed problem morphology extends this logic from valuing ideas to representing the space of problems.