Pith Number
pith:FTMPFMOD
pith:2023:FTMPFMODSFJNPIJD2YHO5WE5SS
not attested
not anchored
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refs pending
InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language Models
arxiv:2309.11911 v6 · 2023-09-21 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FTMPFMODSFJNPIJD2YHO5WE5SS}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:00:21.632962Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2cd8f2b1c39152d7a123d60eeed89d949afe24a69e918a9345d3072d49713cb9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FTMPFMODSFJNPIJD2YHO5WE5SS \
| 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: 2cd8f2b1c39152d7a123d60eeed89d949afe24a69e918a9345d3072d49713cb9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "62dc2d64c66277f8ba03e301be1b62d44317c73ea9287c9aa7338af4b66ca2a9",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-09-21T09:22:07Z",
"title_canon_sha256": "d882c1fce72e7a3a986a3d225c07f2f94e3cec391765346438845906f2e37685"
},
"schema_version": "1.0",
"source": {
"id": "2309.11911",
"kind": "arxiv",
"version": 6
}
}