Pith Number
pith:GHY7YA2H
pith:2026:GHY7YA2HMG7IU2OA6SSNDC4QMD
not attested
not anchored
not stored
refs pending
EmoAgent-R1: Towards Multimodal Emotion Understanding with Reinforcement Learning-based Dynamic Agent Specialization
arxiv:2607.21013 v1 · 2026-07-23 · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GHY7YA2HMG7IU2OA6SSNDC4QMD}
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 | 2026-07-24T01:23:47.414670Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
31f1fc034761be8a69c0f4a4d18b9060fb4da61e20aee1a58992d17d6e03d5ea
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GHY7YA2HMG7IU2OA6SSNDC4QMD \
| 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: 31f1fc034761be8a69c0f4a4d18b9060fb4da61e20aee1a58992d17d6e03d5ea
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0d474538aaffffd254816246d041eeca947dae6164b440529b388c5dfeaf2ba8",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-07-23T07:52:40Z",
"title_canon_sha256": "4ca9074316cd43a133ebf393671745d98e58d93ed5adcb027d31b88cf1a0a601"
},
"schema_version": "1.0",
"source": {
"id": "2607.21013",
"kind": "arxiv",
"version": 1
}
}