Pith Number
pith:KBO5MYGS
pith:2026:KBO5MYGSQHG7HA2RRJHLBR5ZGC
not attested
not anchored
not stored
refs pending
PatchGen: Learning Soft Intra-Image Predictive Subsets for Visual Generalization
arxiv:2608.12766 v1 · 2026-08-13 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KBO5MYGSQHG7HA2RRJHLBR5ZGC}
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 | 2026-08-14T00:47:40.694387Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
505dd660d281cdf383518a4eb0c7b930a66fad973ff35e23b13468baf1b4a4d2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KBO5MYGSQHG7HA2RRJHLBR5ZGC \
| 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: 505dd660d281cdf383518a4eb0c7b930a66fad973ff35e23b13468baf1b4a4d2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "12ec487cd696cee41df7e65a3ea622a19e29385c688029ec9273bae8015e8f63",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-08-13T03:17:57Z",
"title_canon_sha256": "a9286119553727663bf60de06e34f1f9d6570387408fb15bad81c7a90093dfab"
},
"schema_version": "1.0",
"source": {
"id": "2608.12766",
"kind": "arxiv",
"version": 1
}
}