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{PROBLEM_NAME}

Source: {wikipedia URL section / list of unsolved problems entry} Status: open / (a) SURVIVES / (b) REFINED / © FALSIFIED Cascade dispatched: YYYY-MM-DD or "awaiting dispatch" Class cascade: {e.g., A∘L∘N∘M∘I}


1. Problem statement

Formal statement of the problem, in its standard mathematical form. Cite the canonical source (Hilbert's lecture, Riemann's 1859 paper, etc.) at OA / textbook level only per [[feedback_paywalled_doi_cannot_be_attested]].

2. Why it is open

Brief historical context: what's been tried, where the difficulty has been located, what the current best known bound / partial result is. Cite OA references with arXiv IDs where available.

3. Framework reading

What is this problem AS A CASCADE-SHAPE QUESTION? Reframe the statement so the 14-class operators (A-N) can address it. The reframe is the load-bearing step — most open problems become tractable once expressed in cascade-vocabulary.

Per [[user_stance_identity_not_implementation_discipline]]: the framework READS what the problem IS at substrate-level; it does not OVERWRITE the mathematical statement.

4. Cascade composition

The proposed cascade of primitive classes. Each step names: - Which class operates - What input it consumes (from previous step or from data) - What output it produces (input to next step or final result) - Why this composition is structurally appropriate (NOT result-driven)

Per [[feedback_dont_pre_commit_spike_query_operators]]: design the cascade for broad-query enumeration; don't lean the composition toward an expected verdict; let null findings count.

Step Class Operation Input Output
1 A content-address hash
2 L Laplacian + eigendecompose spectrum
3 N rationalize ratio exact integer bound
4 M HDC encode + check feasibility
5 I cyclic homomorphism verify yes/no

5. Configuration data needed (AMSC catalog)

What records does the catalog need? List the schema fields and any reference data the cascade consumes. Link to descriptor.toml + schema.json + *.ndjson in this directory.

6. Cascade execution

Reference generate_catalog.py in this directory. Run with:

python docs/unsolved-maths/{problem_dir}/generate_catalog.py

Or via AMSC bridge:

from srmech.amsc.catalog import register_attested_root, get_attested_dataset
register_attested_root("docs/unsolved-maths", source="unsolved_maths_research")
ds = get_attested_dataset("{source_key}")

7. Findings

What does the cascade reveal? Report verdict-tier honestly per [[feedback_dont_pre_commit_spike_query_operators]]:

  • (a) SURVIVES: cascade composition is internally consistent; no structural obstruction found. NOT a "proof" — just absence of falsification on the dispatched test set.
  • (b) REFINED: cascade reveals a sharper reformulation. State the refined claim and what changed.
  • © FALSIFIED: cascade finds a counter-example or structural inconsistency. State exactly what falsifies.
  • (open): cascade dispatched but inconclusive. State the open fermata.

8. Open fermatas

What remains open after the cascade runs? List specific testable sub-questions for future dispatches. Use spike-research numbering if dispatched.

9. Citations

Per [[feedback_pdf_extraction_citation_discipline]]: all citations PDF-verified at dispatch time. Per [[feedback_paywalled_doi_cannot_be_attested]]: OA / arXiv / open textbook only.

  • Author Year Journal vol:pages — arXiv:XXXX.XXXXX (description)
  • ...

10. Cross-references

  • srmech catalog: <source_key> (registered via register_attested_root)
  • Related canonical stances: [[user_stance_...]]
  • Related spike research: Spike-research #...
  • Related MFO / srmech notebook sections: §...