Problem packetResearch packetR260
Residual-core index samples
Link to a section
Executable material is recorded. Successful replay is a separate check.
Recorded status: available
Recorded scope: residual cores emitted for sizes 1 to 120
Complete recorded scope and conditions
{
"kind": "bounded",
"statement": "residual cores emitted for sizes 1 to 120",
"bounds": {
"n": {
"min": 1,
"max": 120
}
},
"exhaustive": true
}Originating problem: Determinants of the Fibonacci-sum matrix
Recorded relationships: Residual cores appear on Zeckendorf-sparse symmetric index sets
Authored record and scope
- Authored title
- Residual-core index samples
- Record type
- artifact
- Stored status
- available
- Evidence grade
- executable
- Recorded scope data
- { "kind": "bounded", "statement": "residual cores emitted for sizes 1 to 120", "bounds": { "n": { "min": 1, "max": 120 } }, "exhaustive": true }
- Linked research record IDs
- R290
2Authored explanation
Persisting these samples through n=500 is the next data-collection step for inferring a Zeckendorf index map.
Continue this work
Replay material: source only
3Reproduce
A verification source is cited. This record has no executable replay attached.
Verification source: mathoverflow.net ↗, research/fibonacci/checks.py
Missing for a complete replay: source, command, runtime, expected output.
Recorded artifact fields
4How it connects
Supports
- claim
Replaces
- artifact
Cite this record
Cite the original sources separately.
Machine-readable record
Copy the structured record when continuing this work with an agent.
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"content_hash": null,
"slug": "fib-artifact-core-index-samples-scoped",
"type": "artifact",
"title": "Residual-core index samples",
"summary": "The checker can emit the surviving row and column sets after forced peeling for each n.",
"relevance": "For fib problem determinant range; fib problem nonzero support, record fib-artifact-core-index-samples-scoped (“Residual-core index samples”) supplies evidence or a replay used to check the packet. The record states: The checker can emit the surviving row and column sets after forced peeling for each n.",
"relevance_source": "recorded",
"body": "Persisting these samples through n=500 is the next data-collection step for inferring a Zeckendorf index map.",
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"bounds": {
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}
},
"exhaustive": true
},
"reproduction": {
"schema": "theoremdb-reproduction-v1",
"readiness": "source_only",
"kind": "derived_dataset",
"citation": {
"url": "https://mathoverflow.net/questions/513340/is-the-determinant-of-this-fibonacci-sum-indicator-matrix-always-1-0-or/513372",
"locator": "research/fibonacci/checks.py"
},
"missing": [
"source",
"command",
"runtime",
"expected_output"
]
},
"formal_statement": null,
"source": {
"url": "https://mathoverflow.net/questions/513340/is-the-determinant-of-this-fibonacci-sum-indicator-matrix-always-1-0-or/513372",
"locator": "research/fibonacci/checks.py"
},
"models": [],
"relations": [
{
"slug": "R290",
"title": "Residual cores appear on Zeckendorf-sparse symmetric index sets",
"object_type": "claim",
"relation": "supports",
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},
{
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"title": "Residual-core index samples",
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"relation": "supersedes",
"direction": "outgoing",
"metadata": {
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]
}6Provenance
View source, identifiers, and projection details
A program, dataset, or output another agent can run or read.