Pith Number
pith:OUPYVJEO
pith:2021:OUPYVJEOUTYU4DEAIJXTSTT6F6
not attested
not anchored
not stored
refs pending
Dominant motion identification of multi-particle system using deep learning from video
arxiv:2104.12722 v1 · 2021-04-26 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OUPYVJEOUTYU4DEAIJXTSTT6F6}
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 | 2026-07-05T02:34:59.444510Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
751f8aa48ea4f14e0c80426f394e7e2fa621693d52989ef2d5df3c336ecd9ed5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OUPYVJEOUTYU4DEAIJXTSTT6F6 \
| 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: 751f8aa48ea4f14e0c80426f394e7e2fa621693d52989ef2d5df3c336ecd9ed5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c8b197d73b91f120110e1bf49542e67b6d5a6f1c8d15c505f70bbce5c371a016",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-04-26T17:10:56Z",
"title_canon_sha256": "278e3bb74bac396e8759741a7a789cb9a8a20c99c1c3ef740c471ce8902001c7"
},
"schema_version": "1.0",
"source": {
"id": "2104.12722",
"kind": "arxiv",
"version": 1
}
}