Pith Number
pith:MYOD74FX
pith:2016:MYOD74FXBDOMPKB3GLDLO4E3QE
not attested
not anchored
not stored
refs pending
Dynamic Action Recognition: A convolutional neural network model for temporally organized joint location data
arxiv:1612.06703 v1 · 2016-12-20 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MYOD74FXBDOMPKB3GLDLO4E3QE}
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
· sign in to
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 | 2026-05-18T00:54:21.615672Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
661c3ff0b708dcc7a83b32c6b7709b8137c7d332d7a075063ba11ba18f898431
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MYOD74FXBDOMPKB3GLDLO4E3QE \
| 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: 661c3ff0b708dcc7a83b32c6b7709b8137c7d332d7a075063ba11ba18f898431
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cc9bfdafa7f3f43e099ab0df2d5552cf3240ca07db91b2d25cd1df1f486cf1c9",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-12-20T15:20:28Z",
"title_canon_sha256": "fc517bb721ca94fcd34d8b99f99c8ac44aafadc766efb4bab0b8655b24fcf72b"
},
"schema_version": "1.0",
"source": {
"id": "1612.06703",
"kind": "arxiv",
"version": 1
}
}