Pith Number
pith:RNMQFO7Y
pith:2017:RNMQFO7YTZQAZFVNKB6YKSDG7F
not attested
not anchored
not stored
refs pending
Structured Learning of Tree Potentials in CRF for Image Segmentation
arxiv:1703.08764 v1 · 2017-03-26 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RNMQFO7YTZQAZFVNKB6YKSDG7F}
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 | 2026-05-18T00:47:55.629060Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8b5902bbf89e600c96ad507d854866f9739742652bf65a36170284421c7ee32f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RNMQFO7YTZQAZFVNKB6YKSDG7F \
| 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: 8b5902bbf89e600c96ad507d854866f9739742652bf65a36170284421c7ee32f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2ca24f90281e2ba8e5caf5aba7ccc340bc8c13bf80ce61553894b30a865c60ba",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-03-26T04:15:10Z",
"title_canon_sha256": "2d394eac0fbc9156a579503f8968b1fbc8a899b6b1d0514a1fa2ce517ec82be3"
},
"schema_version": "1.0",
"source": {
"id": "1703.08764",
"kind": "arxiv",
"version": 1
}
}