Pith Number
pith:HQ4FRR7K
pith:2018:HQ4FRR7KKSF4XSOULDNHE3TM35
not attested
not anchored
not stored
refs pending
Segmented correspondence curve regression model for quantifying reproducibility of high-throughput experiments
arxiv:1807.00943 v1 · 2018-07-03 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HQ4FRR7KKSF4XSOULDNHE3TM35}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-05-18T00:11:45.976292Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3c3858c7ea548bcbc9d458da726e6cdf7654c22fa6517a7a27adc17f500cb164
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HQ4FRR7KKSF4XSOULDNHE3TM35 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 3c3858c7ea548bcbc9d458da726e6cdf7654c22fa6517a7a27adc17f500cb164
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "404ea0c1dabdd2a8fb546b3837f7ebd8ed1b23bbfaa392d9c988a85a723b3375",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2018-07-03T01:16:42Z",
"title_canon_sha256": "0b1c51c8974263df9722dedc9f4a1a177e184d5e653228e86024a8f0cc853be5"
},
"schema_version": "1.0",
"source": {
"id": "1807.00943",
"kind": "arxiv",
"version": 1
}
}