Pith Number
pith:3PC3CL25
pith:2021:3PC3CL25MLBY5FWKI2SMSMX2VM
not attested
not anchored
not stored
refs pending
Vehicle trajectory prediction in top-view image sequences based on deep learning method
arxiv:2102.01749 v3 · 2021-02-02 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3PC3CL25MLBY5FWKI2SMSMX2VM}
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 | 2026-07-05T02:40:31.732946Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dbc5b12f5d62c38e96ca46a4c932faab130d81c31ffdc4e4d4cd452322d68076
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3PC3CL25MLBY5FWKI2SMSMX2VM \
| 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: dbc5b12f5d62c38e96ca46a4c932faab130d81c31ffdc4e4d4cd452322d68076
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "47e162e03a3a259063f77a11c0555fa926d6f47609509bb52feef98b685921f5",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-02-02T20:48:19Z",
"title_canon_sha256": "d3fb89361df35eb2d734924e530cb7ab33c5806ab5313d887c20819f7b4ca909"
},
"schema_version": "1.0",
"source": {
"id": "2102.01749",
"kind": "arxiv",
"version": 3
}
}