Pith Number
pith:MXFJ72EO
pith:2018:MXFJ72EOBDALX7WW56GS4YB2ET
not attested
not anchored
not stored
refs pending
Numerical Coordinate Regression with Convolutional Neural Networks
arxiv:1801.07372 v2 · 2018-01-23 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MXFJ72EOBDALX7WW56GS4YB2ET}
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 | 2026-05-18T00:16:50.227504Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
65ca9fe88e08c0bbfed6ef8d2e603a24f5c7cb5dc1f4d77a6ba790e45172071f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MXFJ72EOBDALX7WW56GS4YB2ET \
| 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: 65ca9fe88e08c0bbfed6ef8d2e603a24f5c7cb5dc1f4d77a6ba790e45172071f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3985def7469da2d876d236b78b9c3f5e277fcfd234eac1f56de71e74a90512f8",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-01-23T02:18:04Z",
"title_canon_sha256": "24084887b78963582c68e89cf107acf77d2bb50af937d66a563c7cf2d686cd96"
},
"schema_version": "1.0",
"source": {
"id": "1801.07372",
"kind": "arxiv",
"version": 2
}
}