Problem packetResearch packetR429
Complete small-prime cycle decompositions
Link to a section
Executable material is recorded. Successful replay is a separate check.
Recorded status: available
Recorded scope: the complete state spaces for the same map at p=101 and p=1009
Complete recorded scope and conditions
{
"kind": "bounded",
"statement": "the complete state spaces for the same map at p=101 and p=1009",
"bounds": {
"prime": {
"min": 101,
"max": 1009
},
"complete_decompositions": {
"min": 2,
"max": 2
}
},
"exhaustive": true
}Originating problem: Longest cycle of a nonlinear area-preserving map over F_1000003
Authored record and scope
- Authored title
- Complete small-prime cycle decompositions
- Record type
- artifact
- Stored status
- available
- Evidence grade
- executable
- Recorded scope data
- { "kind": "bounded", "statement": "the complete state spaces for the same map at p=101 and p=1009", "bounds": { "prime": { "min": 101, "max": 1009 }, "complete_decompositions": { "min": 2, "max": 2 } }, "exhaustive": true }
2Authored explanation
A visited bitmap decomposes every state into disjoint cycles. At \(p=101\), the map has 101 cycles and maximum period 486, first encountered at \((0,9)\). At \(p=1009\), it has 1,011 cycles and maximum period 6,724, first encountered at \((0,134)\). These reproduce both calibration values in the candidate record.
For each prime, the program hashes the sorted `period:multiplicity` histogram with SHA-256. The digests are `c9ced7c56ae551bbc25d3be50b00610336cef8b561c9ffb5ff00a0ba57e2aeb6` and `404eaecab6ff5302910b9986568d2362856415376fcb3b49c4b30efe972f50f3`.
Files and source
Files embedded in this record. Matching a file hash confirms its identity.
- R429.txt1,035 bytes · No SHA-256 recorded
Preview R429.txt
from collections import Counter from hashlib import sha256 expected = { 101: (486, (0, 9), 101, 'c9ced7c56ae551bbc25d3be50b00610336cef8b561c9ffb5ff00a0ba57e2aeb6'), 1009: (6724, (0, 134), 1011, '404eaecab6ff5302910b9986568d2362856415376fcb3b49c4b30efe972f50f3'), } for p, target in expected.items(): seen = bytearray(p * p) hist = Counter() best = 0 witness = None for state in range(p * p): if seen[state]: continue x, y = divmod(state, p) x0, y0 = x, y period = 0 while True: seen[x * p + y] = 1 period += 1 yy = (y + x * x) % p x, y = (x + yy) % p, yy if (x, y) == (x0, y0): break hist[period] += 1 if period > best: best, witness = period, (x0, y0) payload = ''.join(f'{k}:{hist[k]}\n' for k in sorted(hist)).encode() result = best, witness, sum(hist.values()), sha256(payload).hexdigest() assert result == target print(p, result)File identity
- Recorded filename
- R429.txt
- Download SHA-256
- 7e539a97e92ffbf97919cb10d7d5482af71471df7f4e0c4f5740a9d8403dd61c
Continue this work
Replay material: partial
4Reproduce
Part of the replay path is recorded. Check the missing fields before comparing a new run.
Verification source: doi.org ↗, Self-contained Python 3 standard-library computation reproduced on 2026-07-25
Missing for a complete replay: command, expected output.
Recorded artifact fields
5What it produced
P101
P1009
6How it connects
Tests
- artifact
Recorded for
- problem
Cite this record
Cite the original sources separately.
Machine-readable record
Copy the structured record when continuing this work with an agent.
{
"schema": "theoremdb-agent-record-v1",
"ref": "R429",
"content_hash": null,
"slug": "kmmp-artifact-small-prime-decompositions",
"type": "artifact",
"title": "Complete small-prime cycle decompositions",
"summary": "Independent Python enumeration reproduces maximum periods 486 at p=101 and 6,724 at p=1009.",
"relevance": "For Longest cycle of a nonlinear area-preserving map over F_1000003, record kmmp-artifact-small-prime-decompositions (“Complete small-prime cycle decompositions”) supplies evidence or a replay used to check the packet. The record states: Independent Python enumeration reproduces maximum periods 486 at p=101 and 6,724 at p=1009.",
"relevance_source": "recorded",
"body": "A visited bitmap decomposes every state into disjoint cycles. At \\(p=101\\), the map has 101 cycles and maximum period 486, first encountered at \\((0,9)\\). At \\(p=1009\\), it has 1,011 cycles and maximum period 6,724, first encountered at \\((0,134)\\). These reproduce both calibration values in the candidate record.\n\nFor each prime, the program hashes the sorted `period:multiplicity` histogram with SHA-256. The digests are `c9ced7c56ae551bbc25d3be50b00610336cef8b561c9ffb5ff00a0ba57e2aeb6` and `404eaecab6ff5302910b9986568d2362856415376fcb3b49c4b30efe972f50f3`.",
"status": "available",
"evidence_grade": "executable",
"scope": {
"kind": "bounded",
"statement": "the complete state spaces for the same map at p=101 and p=1009",
"bounds": {
"prime": {
"min": 101,
"max": 1009
},
"complete_decompositions": {
"min": 2,
"max": 2
}
},
"exhaustive": true
},
"reproduction": {
"schema": "theoremdb-reproduction-v1",
"readiness": "partial",
"kind": "inline_python_exact_computation",
"entrypoint": "Execute code with python3",
"runtime": "CPython 3.9 or newer, standard library only",
"citation": {
"url": "https://doi.org/10.1088/0951-7715/18/5/015",
"locator": "Self-contained Python 3 standard-library computation reproduced on 2026-07-25"
},
"inline_source": "from collections import Counter\nfrom hashlib import sha256\nexpected = {\n 101: (486, (0, 9), 101, 'c9ced7c56ae551bbc25d3be50b00610336cef8b561c9ffb5ff00a0ba57e2aeb6'),\n 1009: (6724, (0, 134), 1011, '404eaecab6ff5302910b9986568d2362856415376fcb3b49c4b30efe972f50f3'),\n}\nfor p, target in expected.items():\n seen = bytearray(p * p)\n hist = Counter()\n best = 0\n witness = None\n for state in range(p * p):\n if seen[state]:\n continue\n x, y = divmod(state, p)\n x0, y0 = x, y\n period = 0\n while True:\n seen[x * p + y] = 1\n period += 1\n yy = (y + x * x) % p\n x, y = (x + yy) % p, yy\n if (x, y) == (x0, y0):\n break\n hist[period] += 1\n if period > best:\n best, witness = period, (x0, y0)\n payload = ''.join(f'{k}:{hist[k]}\\n' for k in sorted(hist)).encode()\n result = best, witness, sum(hist.values()), sha256(payload).hexdigest()\n assert result == target\n print(p, result)\n",
"missing": [
"command",
"expected_output"
]
},
"formal_statement": null,
"source": {
"url": "https://doi.org/10.1088/0951-7715/18/5/015",
"locator": "Self-contained Python 3 standard-library computation reproduced on 2026-07-25"
},
"models": [],
"continuation": null,
"relations": [
{
"slug": "R428",
"title": "Exact 4,096-start search and record-cycle replay",
"object_type": "artifact",
"relation": "tests",
"direction": "outgoing"
},
{
"slug": "kicked-map-million-prime-cycle",
"title": "kicked map million prime cycle",
"object_type": "problem",
"relation": "recorded_for",
"direction": "outgoing"
}
]
}8Provenance
View source, identifiers, and projection details
A program, dataset, or output another agent can run or read.