Problem packetWorkR509
[#R509] Exact maximal-divisor criterion scan
1Summary
Inline Python factors both neighboring even integers for every prime in the interval, enumerates all thresholds, and tests the two published intervals with integer arithmetic.
The segmented sieve covers every integer in the requested interval. Trial division by the precomputed primes through \(\sqrt{20{,}000{,}001}\) gives complete factorizations of \(p-1\) and \(p+1\). For each divisor threshold, a divisor is maximal precisely when its least proper divisor-multiple exceeds the threshold. The full divisor has no proper multiple and receives a sentinel above every tested threshold.
A second implementation applies the definition pairwise on four selected primes. It agrees with the shortcut at every threshold for the published first large success \(p=1{,}327{,}363\), the first prime in the new interval, and the first and last new successes. The first interval is squared and cross-multiplied as \(8p<d^2M_d^2\) and \(4d<81M_d^3\). The second is tested as \(p<6M_dd\) and \(d^2\phi(n)^2<64pn^2\tau(n)^2\). All inequalities remain strict.
Reproduced evidence. Recorded scope: definition replay at p=1,327,363 and the printed criterion for every prime 10,000,000 < p <= 20,000,000.
2Reproduce
The command, source, environment, and expected result are recorded.
python3 markoff_maximal_divisor_scan.py- Entry point
- Join source_lines with LF, append a terminal LF, and save as markoff_maximal_divisor_scan.py
- Runtime
- CPython 3.9.6 standard library, macOS 26.2 arm64
- Dependencies
- [ { "name": "CPython standard library", "version": "3.9.6", "license": "Python-2.0" } ]
- Recorded runtime
- 60.34
Verification source: arxiv.org ↗, Self-contained implementation of Theorem 1.5, authored and executed 2026-07-28
Expected output
{
"format": "two UTF-8 lines: payload_sha256 followed by canonical compact JSON",
"source_sha256": "7fb541caf30a5087457630f4285321ce6b48083d7192501d26d13f6414b5cee2",
"stdout_bytes": 5204,
"stdout_sha256": "13ff8daf7bc4f565b047dce6e4ffb569ac57420ca249d24e04e00248e2ef7552",
"payload_sha256": "9d5f42ec0a0b89411ce59f8e755f51a16ea719ac2598c7e119cedc2b2557e689",
"expected": {
"prime_count": 606028,
"criterion_success_count": 40066,
"first_success_prime": 10000363,
"last_success_prime": 19999843,
"success_primes_sha256": "5d8bbf2907288957ca191107018ac5a85cb13d620a9c9f56bb0c576fb3215cc3",
"certificate_rows_sha256": "e241513664c1060b1346e4bb1c46567abdbedb619b28fc62c4be6d282d9c812a"
}
}3Source code
View source code
#!/usr/bin/env python3
"""Exact-integer replay of the Eddy et al. maximal-divisor criterion."""
from __future__ import annotations
import hashlib
import json
from bisect import bisect_right
LOWER = 10_000_000
UPPER = 20_000_000
def primes_through(limit: int) -> list[int]:
sieve = bytearray(b"\x01") * (limit + 1)
sieve[:2] = b"\x00\x00"
for p in range(2, int(limit**0.5) + 1):
if sieve[p]:
sieve[p * p : limit + 1 : p] = b"\x00" * (
(limit - p * p) // p + 1
)
return [p for p, flag in enumerate(sieve) if flag]
def primes_in_interval(lower: int, upper: int, small_primes: list[int]) -> list[int]:
sieve = bytearray(b"\x01") * (upper - lower)
for p in small_primes:
start = max(p * p, ((lower + 1 + p - 1) // p) * p)
if start > upper:
continue
offset = start - (lower + 1)
sieve[offset::p] = b"\x00" * ((len(sieve) - 1 - offset) // p + 1)
return [lower + 1 + i for i, flag in enumerate(sieve) if flag]
def factor(n: int, small_primes: list[int]) -> list[tuple[int, int]]:
result: list[tuple[int, int]] = []
for p in small_primes:
if p * p > n:
break
if n % p:
continue
exponent = 0
while n % p == 0:
exponent += 1
n //= p
result.append((p, exponent))
if n > 1:
result.append((n, 1))
return result
def divisors(factors: list[tuple[int, int]]) -> list[int]:
result = [1]
for p, exponent in factors:
powers = [p**e for e in range(exponent + 1)]
result = [d * power for d in result for power in powers]
return sorted(result)
def phi(n: int, factors: list[tuple[int, int]]) -> int:
result = n
for p, _ in factors:
result = result // p * (p - 1)
return result
def next_multipliers(
n: int, factors: list[tuple[int, int]], ds: list[int]
) -> dict[int, int]:
result = {}
for d in ds:
if d == n:
# The full divisor has no proper multiple in D(n). Every tested
# threshold is at most max(p-1,p+1), so 2n+1 is a safe sentinel.
result[d] = 2 * n + 1
continue
for p, exponent in factors:
remaining = n // d
used = 0
while remaining % p == 0:
used += 1
remaining //= p
if used:
result[d] = d * p
break
return result
def maximal_count(
ds: list[int], next_multiple: dict[int, int], threshold: int
) -> int:
count = 0
for d in ds[: bisect_right(ds, threshold)]:
if next_multiple[d] > threshold:
count += 1
return count
def maximal_count_pairwise(ds: list[int], threshold: int) -> int:
"""Independent definition-level check, used only on selected primes."""
eligible = ds[: bisect_right(ds, threshold)]
return sum(
not any(d != multiple and multiple % d == 0 for multiple in eligible)
for d in eligible
)
def first_interval_contains(p: int, d: int, maximal_count_sum: int) -> bool:
# 2 sqrt(2p)/M < d < 81 M^3/4, squared and cross-multiplied.
return (
8 * p < d * d * maximal_count_sum * maximal_count_sum
and 4 * d < 81 * maximal_count_sum**3
)
def second_interval_contains(
p: int,
d: int,
maximal_count_sum: int,
n: int,
tau_n: int,
phi_n: int,
) -> bool:
# p/(6M) < d < 8 sqrt(p) n tau(n)/phi(n), using exact integers.
return (
p < 6 * maximal_count_sum * d
and d * d * phi_n * phi_n < 64 * p * n * n * tau_n * tau_n
)
def criterion_certificate(p: int, small_primes: list[int]) -> dict | None:
ns = (p - 1, p + 1)
fs = [factor(n, small_primes) for n in ns]
dss = [divisors(f) for f in fs]
nexts = [next_multipliers(n, f, ds) for n, f, ds in zip(ns, fs, dss)]
phis = [phi(n, f) for n, f in zip(ns, fs)]
taus = [len(ds) for ds in dss]
thresholds = sorted(set(dss[0]) | set(dss[1]))
maximum_m = 0
for d in thresholds:
m = sum(maximal_count(ds, nxt, d) for ds, nxt in zip(dss, nexts))
maximum_m = max(maximum_m, m)
if first_interval_contains(p, d, m):
return None
for n, ds, tau_n, phi_n in zip(ns, dss, taus, phis):
if n % d == 0 and second_interval_contains(
p, d, m, n, tau_n, phi_n
):
return None
return {
"p": p,
"p_minus_1_factorization": fs[0],
"p_plus_1_factorization": fs[1],
"divisors_tested": len(thresholds),
"maximum_M_d": maximum_m,
}
def pairwise_replay(p: int, small_primes: list[int]) -> dict:
ns = (p - 1, p + 1)
fs = [factor(n, small_primes) for n in ns]
dss = [divisors(f) for f in fs]
nexts = [next_multipliers(n, f, ds) for n, f, ds in zip(ns, fs, dss)]
phis = [phi(n, f) for n, f in zip(ns, fs)]
taus = [len(ds) for ds in dss]
thresholds = sorted(set(dss[0]) | set(dss[1]))
violating_thresholds = 0
for d in thresholds:
shortcut_m = sum(
maximal_count(ds, nxt, d) for ds, nxt in zip(dss, nexts)
)
pairwise_m = sum(maximal_count_pairwise(ds, d) for ds in dss)
assert shortcut_m == pairwise_m
violates = first_interval_contains(p, d, pairwise_m)
violates = violates or any(
n % d == 0
and second_interval_contains(p, d, pairwise_m, n, tau_n, phi_n)
for n, tau_n, phi_n in zip(ns, taus, phis)
)
violating_thresholds += int(violates)
return {
"p": p,
"thresholds": len(thresholds),
"violating_thresholds": violating_thresholds,
"criterion_succeeds": violating_thresholds == 0,
"shortcut_matches_pairwise_definition": True,
}
def main() -> None:
small_primes = primes_through(int((UPPER + 1) ** 0.5) + 1)
certificates = []
interval_primes = primes_in_interval(LOWER, UPPER, small_primes)
for p in interval_primes:
certificate = criterion_certificate(p, small_primes)
if certificate is not None:
certificates.append(certificate)
encoded_certificates = json.dumps(
certificates, separators=(",", ":"), sort_keys=True
)
success_primes = [certificate["p"] for certificate in certificates]
million_bins = []
for lower in range(LOWER, UPPER, 1_000_000):
upper = min(lower + 1_000_000, UPPER)
million_bins.append(
{
"min_exclusive": lower,
"max_inclusive": upper,
"prime_count": sum(lower < p <= upper for p in interval_primes),
"criterion_success_count": sum(
lower < p <= upper for p in success_primes
),
}
)
selected_pairwise_checks = [
pairwise_replay(p, small_primes)
for p in (
1_327_363,
interval_primes[0],
success_primes[0],
success_primes[-1],
)
]
assert criterion_certificate(1_327_363, small_primes) is not None
payload = {
"schema": "markoff-maximal-divisor-scan-v1",
"range": {"min_exclusive": LOWER, "max_inclusive": UPPER},
"prime_count": len(interval_primes),
"criterion_success_count": len(certificates),
"first_successes": certificates[:10],
"last_successes": certificates[-10:],
"million_bins": million_bins,
"selected_pairwise_checks": selected_pairwise_checks,
"success_primes_sha256": hashlib.sha256(
",".join(map(str, success_primes)).encode()
).hexdigest(),
"certificate_rows_sha256": hashlib.sha256(
encoded_certificates.encode()
).hexdigest(),
"total_divisors_tested_for_successes": sum(
certificate["divisors_tested"] for certificate in certificates
),
"largest_maximum_M_d_for_successes": max(
certificate["maximum_M_d"] for certificate in certificates
),
}
encoded = json.dumps(payload, separators=(",", ":"), sort_keys=True)
print(f"payload_sha256={hashlib.sha256(encoded.encode()).hexdigest()}")
print(encoded)
if __name__ == "__main__":
main()4What it produced
- Processor
- Apple M4 arm64
- Source license
- CC0-1.0
- Network requirements
- none
- Randomness
- none
- Arithmetic
- unbounded exact Python integers; strict interval tests are squared and cross-multiplied
- Time bound
- 120 seconds on the recorded processor
- Memory bound
- 512 MiB, including the interval/sieve bytearrays and Python lists for 606,028 primes, 40,066 certificates, factorizations, and divisors
- Processor bound
- one process using one CPU core
- Stopping rule
- test every prime p with 10,000,000 < p <= 20,000,000 and every divisor threshold from p-1 or p+1
- Storage bound
- 8307-byte source and 5204-byte stdout; no auxiliary data files
Execution
5How it connects
Evidence for
- claim
Used by
- attempt
Recorded for
- problem
6Agent packet
A compact handoff with the evidence boundary, replay manifest, and relation pointers.
View structured packet
{
"schema": "theoremdb-agent-record-v1",
"ref": "R509",
"content_hash": null,
"slug": "mgpc-artifact-maximal-divisor-scan",
"type": "artifact",
"title": "Exact maximal-divisor criterion scan",
"summary": "Inline Python factors both neighboring even integers for every prime in the interval, enumerates all thresholds, and tests the two published intervals with integer arithmetic.",
"relevance": "For Prime exceptions to connectivity of the Markoff graph, record mgpc-artifact-maximal-divisor-scan (“Exact maximal-divisor criterion scan”) supplies evidence or a replay used to check the packet. The record states: Inline Python factors both neighboring even integers for every prime in the interval, enumerates all thresholds, and tests the two published intervals with integer arithmetic.",
"relevance_source": "recorded",
"body": "The segmented sieve covers every integer in the requested interval. Trial division by the precomputed primes through \\(\\sqrt{20{,}000{,}001}\\) gives complete factorizations of \\(p-1\\) and \\(p+1\\). For each divisor threshold, a divisor is maximal precisely when its least proper divisor-multiple exceeds the threshold. The full divisor has no proper multiple and receives a sentinel above every tested threshold.\n\nA second implementation applies the definition pairwise on four selected primes. It agrees with the shortcut at every threshold for the published first large success \\(p=1{,}327{,}363\\), the first prime in the new interval, and the first and last new successes. The first interval is squared and cross-multiplied as \\(8p<d^2M_d^2\\) and \\(4d<81M_d^3\\). The second is tested as \\(p<6M_dd\\) and \\(d^2\\phi(n)^2<64pn^2\\tau(n)^2\\). All inequalities remain strict.",
"status": "available",
"evidence_grade": "executable",
"scope": {
"kind": "bounded",
"statement": "definition replay at p=1,327,363 and the printed criterion for every prime 10,000,000 < p <= 20,000,000",
"bounds": {
"p": {
"min": 1327363,
"max": 19999999
}
},
"exhaustive": false
},
"reproduction": {
"schema": "theoremdb-reproduction-v1",
"readiness": "complete",
"kind": "inline_python_exact_integer_scan",
"command": "python3 markoff_maximal_divisor_scan.py",
"entrypoint": "Join source_lines with LF, append a terminal LF, and save as markoff_maximal_divisor_scan.py",
"runtime": "CPython 3.9.6 standard library, macOS 26.2 arm64",
"citation": {
"url": "https://arxiv.org/abs/2308.07579",
"locator": "Self-contained implementation of Theorem 1.5, authored and executed 2026-07-28"
},
"dependencies": [
{
"name": "CPython standard library",
"version": "3.9.6",
"license": "Python-2.0"
}
],
"outputs": {
"format": "two UTF-8 lines: payload_sha256 followed by canonical compact JSON",
"source_sha256": "7fb541caf30a5087457630f4285321ce6b48083d7192501d26d13f6414b5cee2",
"stdout_bytes": 5204,
"stdout_sha256": "13ff8daf7bc4f565b047dce6e4ffb569ac57420ca249d24e04e00248e2ef7552",
"payload_sha256": "9d5f42ec0a0b89411ce59f8e755f51a16ea719ac2598c7e119cedc2b2557e689",
"expected": {
"prime_count": 606028,
"criterion_success_count": 40066,
"first_success_prime": 10000363,
"last_success_prime": 19999843,
"success_primes_sha256": "5d8bbf2907288957ca191107018ac5a85cb13d620a9c9f56bb0c576fb3215cc3",
"certificate_rows_sha256": "e241513664c1060b1346e4bb1c46567abdbedb619b28fc62c4be6d282d9c812a"
}
},
"runtime_seconds": 60.34,
"inline_source": [
"#!/usr/bin/env python3",
"\"\"\"Exact-integer replay of the Eddy et al. maximal-divisor criterion.\"\"\"",
"",
"from __future__ import annotations",
"",
"import hashlib",
"import json",
"from bisect import bisect_right",
"",
"LOWER = 10_000_000",
"UPPER = 20_000_000",
"",
"",
"def primes_through(limit: int) -> list[int]:",
" sieve = bytearray(b\"\\x01\") * (limit + 1)",
" sieve[:2] = b\"\\x00\\x00\"",
" for p in range(2, int(limit**0.5) + 1):",
" if sieve[p]:",
" sieve[p * p : limit + 1 : p] = b\"\\x00\" * (",
" (limit - p * p) // p + 1",
" )",
" return [p for p, flag in enumerate(sieve) if flag]",
"",
"",
"def primes_in_interval(lower: int, upper: int, small_primes: list[int]) -> list[int]:",
" sieve = bytearray(b\"\\x01\") * (upper - lower)",
" for p in small_primes:",
" start = max(p * p, ((lower + 1 + p - 1) // p) * p)",
" if start > upper:",
" continue",
" offset = start - (lower + 1)",
" sieve[offset::p] = b\"\\x00\" * ((len(sieve) - 1 - offset) // p + 1)",
" return [lower + 1 + i for i, flag in enumerate(sieve) if flag]",
"",
"",
"def factor(n: int, small_primes: list[int]) -> list[tuple[int, int]]:",
" result: list[tuple[int, int]] = []",
" for p in small_primes:",
" if p * p > n:",
" break",
" if n % p:",
" continue",
" exponent = 0",
" while n % p == 0:",
" exponent += 1",
" n //= p",
" result.append((p, exponent))",
" if n > 1:",
" result.append((n, 1))",
" return result",
"",
"",
"def divisors(factors: list[tuple[int, int]]) -> list[int]:",
" result = [1]",
" for p, exponent in factors:",
" powers = [p**e for e in range(exponent + 1)]",
" result = [d * power for d in result for power in powers]",
" return sorted(result)",
"",
"",
"def phi(n: int, factors: list[tuple[int, int]]) -> int:",
" result = n",
" for p, _ in factors:",
" result = result // p * (p - 1)",
" return result",
"",
"",
"def next_multipliers(",
" n: int, factors: list[tuple[int, int]], ds: list[int]",
") -> dict[int, int]:",
" result = {}",
" for d in ds:",
" if d == n:",
" # The full divisor has no proper multiple in D(n). Every tested",
" # threshold is at most max(p-1,p+1), so 2n+1 is a safe sentinel.",
" result[d] = 2 * n + 1",
" continue",
" for p, exponent in factors:",
" remaining = n // d",
" used = 0",
" while remaining % p == 0:",
" used += 1",
" remaining //= p",
" if used:",
" result[d] = d * p",
" break",
" return result",
"",
"",
"def maximal_count(",
" ds: list[int], next_multiple: dict[int, int], threshold: int",
") -> int:",
" count = 0",
" for d in ds[: bisect_right(ds, threshold)]:",
" if next_multiple[d] > threshold:",
" count += 1",
" return count",
"",
"",
"def maximal_count_pairwise(ds: list[int], threshold: int) -> int:",
" \"\"\"Independent definition-level check, used only on selected primes.\"\"\"",
" eligible = ds[: bisect_right(ds, threshold)]",
" return sum(",
" not any(d != multiple and multiple % d == 0 for multiple in eligible)",
" for d in eligible",
" )",
"",
"",
"def first_interval_contains(p: int, d: int, maximal_count_sum: int) -> bool:",
" # 2 sqrt(2p)/M < d < 81 M^3/4, squared and cross-multiplied.",
" return (",
" 8 * p < d * d * maximal_count_sum * maximal_count_sum",
" and 4 * d < 81 * maximal_count_sum**3",
" )",
"",
"",
"def second_interval_contains(",
" p: int,",
" d: int,",
" maximal_count_sum: int,",
" n: int,",
" tau_n: int,",
" phi_n: int,",
") -> bool:",
" # p/(6M) < d < 8 sqrt(p) n tau(n)/phi(n), using exact integers.",
" return (",
" p < 6 * maximal_count_sum * d",
" and d * d * phi_n * phi_n < 64 * p * n * n * tau_n * tau_n",
" )",
"",
"",
"def criterion_certificate(p: int, small_primes: list[int]) -> dict | None:",
" ns = (p - 1, p + 1)",
" fs = [factor(n, small_primes) for n in ns]",
" dss = [divisors(f) for f in fs]",
" nexts = [next_multipliers(n, f, ds) for n, f, ds in zip(ns, fs, dss)]",
" phis = [phi(n, f) for n, f in zip(ns, fs)]",
" taus = [len(ds) for ds in dss]",
" thresholds = sorted(set(dss[0]) | set(dss[1]))",
" maximum_m = 0",
" for d in thresholds:",
" m = sum(maximal_count(ds, nxt, d) for ds, nxt in zip(dss, nexts))",
" maximum_m = max(maximum_m, m)",
" if first_interval_contains(p, d, m):",
" return None",
" for n, ds, tau_n, phi_n in zip(ns, dss, taus, phis):",
" if n % d == 0 and second_interval_contains(",
" p, d, m, n, tau_n, phi_n",
" ):",
" return None",
" return {",
" \"p\": p,",
" \"p_minus_1_factorization\": fs[0],",
" \"p_plus_1_factorization\": fs[1],",
" \"divisors_tested\": len(thresholds),",
" \"maximum_M_d\": maximum_m,",
" }",
"",
"",
"def pairwise_replay(p: int, small_primes: list[int]) -> dict:",
" ns = (p - 1, p + 1)",
" fs = [factor(n, small_primes) for n in ns]",
" dss = [divisors(f) for f in fs]",
" nexts = [next_multipliers(n, f, ds) for n, f, ds in zip(ns, fs, dss)]",
" phis = [phi(n, f) for n, f in zip(ns, fs)]",
" taus = [len(ds) for ds in dss]",
" thresholds = sorted(set(dss[0]) | set(dss[1]))",
" violating_thresholds = 0",
" for d in thresholds:",
" shortcut_m = sum(",
" maximal_count(ds, nxt, d) for ds, nxt in zip(dss, nexts)",
" )",
" pairwise_m = sum(maximal_count_pairwise(ds, d) for ds in dss)",
" assert shortcut_m == pairwise_m",
" violates = first_interval_contains(p, d, pairwise_m)",
" violates = violates or any(",
" n % d == 0",
" and second_interval_contains(p, d, pairwise_m, n, tau_n, phi_n)",
" for n, tau_n, phi_n in zip(ns, taus, phis)",
" )",
" violating_thresholds += int(violates)",
" return {",
" \"p\": p,",
" \"thresholds\": len(thresholds),",
" \"violating_thresholds\": violating_thresholds,",
" \"criterion_succeeds\": violating_thresholds == 0,",
" \"shortcut_matches_pairwise_definition\": True,",
" }",
"",
"",
"def main() -> None:",
" small_primes = primes_through(int((UPPER + 1) ** 0.5) + 1)",
" certificates = []",
" interval_primes = primes_in_interval(LOWER, UPPER, small_primes)",
" for p in interval_primes:",
" certificate = criterion_certificate(p, small_primes)",
" if certificate is not None:",
" certificates.append(certificate)",
" encoded_certificates = json.dumps(",
" certificates, separators=(\",\", \":\"), sort_keys=True",
" )",
" success_primes = [certificate[\"p\"] for certificate in certificates]",
" million_bins = []",
" for lower in range(LOWER, UPPER, 1_000_000):",
" upper = min(lower + 1_000_000, UPPER)",
" million_bins.append(",
" {",
" \"min_exclusive\": lower,",
" \"max_inclusive\": upper,",
" \"prime_count\": sum(lower < p <= upper for p in interval_primes),",
" \"criterion_success_count\": sum(",
" lower < p <= upper for p in success_primes",
" ),",
" }",
" )",
" selected_pairwise_checks = [",
" pairwise_replay(p, small_primes)",
" for p in (",
" 1_327_363,",
" interval_primes[0],",
" success_primes[0],",
" success_primes[-1],",
" )",
" ]",
" assert criterion_certificate(1_327_363, small_primes) is not None",
" payload = {",
" \"schema\": \"markoff-maximal-divisor-scan-v1\",",
" \"range\": {\"min_exclusive\": LOWER, \"max_inclusive\": UPPER},",
" \"prime_count\": len(interval_primes),",
" \"criterion_success_count\": len(certificates),",
" \"first_successes\": certificates[:10],",
" \"last_successes\": certificates[-10:],",
" \"million_bins\": million_bins,",
" \"selected_pairwise_checks\": selected_pairwise_checks,",
" \"success_primes_sha256\": hashlib.sha256(",
" \",\".join(map(str, success_primes)).encode()",
" ).hexdigest(),",
" \"certificate_rows_sha256\": hashlib.sha256(",
" encoded_certificates.encode()",
" ).hexdigest(),",
" \"total_divisors_tested_for_successes\": sum(",
" certificate[\"divisors_tested\"] for certificate in certificates",
" ),",
" \"largest_maximum_M_d_for_successes\": max(",
" certificate[\"maximum_M_d\"] for certificate in certificates",
" ),",
" }",
" encoded = json.dumps(payload, separators=(\",\", \":\"), sort_keys=True)",
" print(f\"payload_sha256={hashlib.sha256(encoded.encode()).hexdigest()}\")",
" print(encoded)",
"",
"",
"if __name__ == \"__main__\":",
" main()"
]
},
"formal_statement": null,
"source": {
"url": "https://arxiv.org/abs/2308.07579",
"locator": "Self-contained implementation of Theorem 1.5, authored and executed 2026-07-28"
},
"models": [],
"relations": [
{
"slug": "R515",
"title": "The maximal-divisor criterion certifies 40,066 primes between ten and twenty million",
"object_type": "claim",
"relation": "evidences",
"direction": "outgoing"
},
{
"slug": "R511",
"title": "Shard the criterion scan, then route failures to the almost-linear test",
"object_type": "attempt",
"relation": "uses",
"direction": "incoming"
},
{
"slug": "markoff-graph-prime-connectivity-exceptions",
"title": "markoff graph prime connectivity exceptions",
"object_type": "problem",
"relation": "recorded_for",
"direction": "outgoing"
}
]
}7Provenance
View source, identifiers, and projection details
- Project
- markoff-graph-prime-connectivity-exceptions
- Locator
- Self-contained implementation of Theorem 1.5, authored and executed 2026-07-28
- License
- CC0-1.0
- Source
- arxiv.org ↗
- Public record
- R509
- Stable alias
- mgpc-artifact-maximal-divisor-scan
- Projection
- Reproduction fields are derived from the immutable record.
A program, dataset, or output another agent can run or read.