Pith Number
pith:PIEQGGDD
pith:2026:PIEQGGDDOJ5SPA3WN5DPEZMYCJ
not attested
not anchored
not stored
refs pending
Can Broad Biomedical Knowledge be Contextualized into Scenario-Grounded Propositions?
arxiv:2605.27082 v1 · 2026-05-26 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PIEQGGDDOJ5SPA3WN5DPEZMYCJ}
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 | 2026-05-27T01:06:27.355684Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7a09031863727b2783766f46f265981241176be30a1d626f92890a986e920b2e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PIEQGGDDOJ5SPA3WN5DPEZMYCJ \
| 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: 7a09031863727b2783766f46f265981241176be30a1d626f92890a986e920b2e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7cc931d9db73adb312b315966671dbc8d3df2be7ff7cdf6aaf79bef37c8e8c19",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-05-26T14:33:03Z",
"title_canon_sha256": "4cbf66a76171441c1e88603262b2e0f6a713717013a22b756987567c8b4a2abc"
},
"schema_version": "1.0",
"source": {
"id": "2605.27082",
"kind": "arxiv",
"version": 1
}
}