Pith Number
pith:MMU5W3ZB
pith:2018:MMU5W3ZB745GX7MTRNWQ25U3KT
not attested
not anchored
not stored
refs pending
To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression
arxiv:1804.07014 v4 · 2018-04-19 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MMU5W3ZB745GX7MTRNWQ25U3KT}
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 | 2026-05-18T00:01:38.500755Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6329db6f21ff3a6bfd938b6d0d769b54ed5daf5d30d964cb876f89c190b2ff48
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MMU5W3ZB745GX7MTRNWQ25U3KT \
| 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: 6329db6f21ff3a6bfd938b6d0d769b54ed5daf5d30d964cb876f89c190b2ff48
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b21877a4468ae94c0efafab452e4ead6c9ca33e31f611a683397bb977ef7786c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-04-19T06:48:40Z",
"title_canon_sha256": "93a6fd8f6d19e4d7f36fcc112fef748d79d1ea44f2344386da135361572f8204"
},
"schema_version": "1.0",
"source": {
"id": "1804.07014",
"kind": "arxiv",
"version": 4
}
}