Pith Number
pith:7TITENNP
pith:2016:7TITENNPQZODRJ62F7XMMMKQ6N
not attested
not anchored
not stored
refs pending
Context Matters: Refining Object Detection in Video with Recurrent Neural Networks
arxiv:1607.04648 v2 · 2016-07-15 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7TITENNPQZODRJ62F7XMMMKQ6N}
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 | 2026-05-18T01:10:55.329453Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fcd13235af865c38a7da2feec63150f3720a1c6348c337193a2a8b62027d5573
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7TITENNPQZODRJ62F7XMMMKQ6N \
| 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: fcd13235af865c38a7da2feec63150f3720a1c6348c337193a2a8b62027d5573
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "72f1f235b7b454830683807d64f19b0c70e986327e130cbae4478da4bf9eae12",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-07-15T20:02:25Z",
"title_canon_sha256": "26e3085cdd21616adb3d28c580a8709bec65fb9ce689a43b20bdc138c4e9a7c2"
},
"schema_version": "1.0",
"source": {
"id": "1607.04648",
"kind": "arxiv",
"version": 2
}
}