Pith Number
pith:F26OU2CY
pith:2019:F26OU2CYGO5ODUQLO4ZJJV4YGT
not attested
not anchored
not stored
refs pending
Differential Recurrent Neural Network and its Application for Human Activity Recognition
arxiv:1905.04293 v1 · 2019-05-09 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F26OU2CYGO5ODUQLO4ZJJV4YGT}
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
✓
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 | 2026-05-17T23:46:25.404521Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2ebcea685833bae1d20b773294d79834f8bfe236f2aeb93938a9d2eefac322a7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F26OU2CYGO5ODUQLO4ZJJV4YGT \
| 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: 2ebcea685833bae1d20b773294d79834f8bfe236f2aeb93938a9d2eefac322a7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2e16459238b382ed1fd3a5451a3f4cd39e201746c3e8f666ef26361aabb08a8e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-05-09T18:31:54Z",
"title_canon_sha256": "a657a25073cf50cf91159719f3d9ba9754fd6508fb2655462f9a068d011bb09d"
},
"schema_version": "1.0",
"source": {
"id": "1905.04293",
"kind": "arxiv",
"version": 1
}
}