Pith Number
pith:CL75NXCV
pith:2026:CL75NXCVJKQC7N7WMVCF2A3YW3
not attested
not anchored
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refs pending
EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models
arxiv:2602.23802 v2 · 2026-02-27 · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CL75NXCVJKQC7N7WMVCF2A3YW3}
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
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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.
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Receipt and verification
| First computed | 2026-07-09T01:19:52.192581Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
12ffd6dc554aa02fb7f665445d0378b6c6295e882d4b28e8cff34bf29850cb03
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CL75NXCVJKQC7N7WMVCF2A3YW3 \
| 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: 12ffd6dc554aa02fb7f665445d0378b6c6295e882d4b28e8cff34bf29850cb03
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bb006f37a0c515d7708795e6b8cf06c55a93d379e15978f18bb335c927f95793",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-02-27T08:42:52Z",
"title_canon_sha256": "a35b8c50212899e092a5a6d28829d542f9bd1f91c3b5557f2cf567afdc525b7c"
},
"schema_version": "1.0",
"source": {
"id": "2602.23802",
"kind": "arxiv",
"version": 2
}
}