Pith Number
pith:ONJH7JND
pith:2026:ONJH7JNDK3FSMTA2K5HMVPCET6
not attested
not anchored
not stored
refs pending
Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making
arxiv:2602.07008 v2 · 2026-01-30 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ONJH7JNDK3FSMTA2K5HMVPCET6}
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.
Cited by
Receipt and verification
| First computed | 2026-05-20T01:06:08.234862Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
73527fa5a356cb264c1a574ecabc449fa25d1e7c8885d1df9962d1265945c179
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ONJH7JNDK3FSMTA2K5HMVPCET6 \
| 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: 73527fa5a356cb264c1a574ecabc449fa25d1e7c8885d1df9962d1265945c179
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "19675e9decdfbe47f3e009e9bd37f48ffeea97500784f7b6e0904e272f70d4ba",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-01-30T10:29:27Z",
"title_canon_sha256": "2a3a6c47b1c5f21be1378f953db0ef0fcb1173cede2bc95a83246fa8e788ff0b"
},
"schema_version": "1.0",
"source": {
"id": "2602.07008",
"kind": "arxiv",
"version": 2
}
}