Pith Number
pith:JKKNSJIS
pith:2026:JKKNSJIS3PCVMYHCXOYNVUPU7P
not attested
not anchored
not stored
refs pending
Efficient and Interpretable Body-Based Emotion Recognition with Lightweight Temporal Convolutional Networks
arxiv:2607.20820 v1 · 2026-07-23 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JKKNSJIS3PCVMYHCXOYNVUPU7P}
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 | 2026-07-24T00:23:36.346266Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4a94d92512dbc55660e2bbb0dad1f4fbe850ac74409bc4b084861b412b27cf1d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JKKNSJIS3PCVMYHCXOYNVUPU7P \
| 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: 4a94d92512dbc55660e2bbb0dad1f4fbe850ac74409bc4b084861b412b27cf1d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ce4e8d9a9958e7df994fae20d973f3670f64a3e8bf5ca4925d84c9bed8cff3e8",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-07-23T01:12:39Z",
"title_canon_sha256": "4b5706cb28b163d81837d88bc29abd68b74cc7461635db1cefe6f3402d887e66"
},
"schema_version": "1.0",
"source": {
"id": "2607.20820",
"kind": "arxiv",
"version": 1
}
}