Pith Number
pith:GVPV4LBH
pith:2021:GVPV4LBHVMMF6GNPH36KYD55CO
not attested
not anchored
not stored
refs pending
Enhancing Cognitive Models of Emotions with Representation Learning
arxiv:2104.10117 v1 · 2021-04-20 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GVPV4LBHVMMF6GNPH36KYD55CO}
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 | 2026-07-05T02:33:39.961949Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
355f5e2c27ab185f19af3efcac0fbd13b85e9d0e8b08eeb901e8e4eec403bdb6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GVPV4LBHVMMF6GNPH36KYD55CO \
| 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: 355f5e2c27ab185f19af3efcac0fbd13b85e9d0e8b08eeb901e8e4eec403bdb6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "88a6c8f4b236f6e600718458db803fc00aec1e380e9f40eeade8f51e69002d6c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2021-04-20T16:55:15Z",
"title_canon_sha256": "c308953c920bb7ba8485267bc86ead228cf54fb69a618b742fec0d44b1c52c9f"
},
"schema_version": "1.0",
"source": {
"id": "2104.10117",
"kind": "arxiv",
"version": 1
}
}