Pith Number
pith:PBTJWYGQ
pith:2017:PBTJWYGQTXY7LP75S4SKEHAECV
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refs pending
Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection
arxiv:1702.05552 v1 · 2017-02-18 · cs.CV · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PBTJWYGQTXY7LP75S4SKEHAECV}
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
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claim
4
Citations
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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 | 2026-05-18T00:50:30.493471Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
78669b60d09df1f5bffd9724a21c041553d73ef60a96c38f9124c626f4fd1781
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PBTJWYGQTXY7LP75S4SKEHAECV \
| 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: 78669b60d09df1f5bffd9724a21c041553d73ef60a96c38f9124c626f4fd1781
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "db6a4acf75c37120a99d2f8fa2942c192a18e9102ffbd8918eb1c029a2f5d1c0",
"cross_cats_sorted": [
"cs.NE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-02-18T01:08:18Z",
"title_canon_sha256": "b37f8f0643864774c038ccdc6b43b071490911ed3042604ead0298d7d4a5829e"
},
"schema_version": "1.0",
"source": {
"id": "1702.05552",
"kind": "arxiv",
"version": 1
}
}