Pith Number
pith:W3LM2JIC
pith:2025:W3LM2JICQBWRETYJL5TC4BMSOB
not attested
not anchored
not stored
refs pending
TED: Turn Emphasis with Dialogue Feature Attention for Emotion Recognition in Conversation
arxiv:2501.01123 v1 · 2025-01-02 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{W3LM2JICQBWRETYJL5TC4BMSOB}
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 | 2026-07-05T09:56:15.083387Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b6d6cd2502806d124f095f662e05927050469b8a6f39b18487b84de00881f3f1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W3LM2JICQBWRETYJL5TC4BMSOB \
| 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: b6d6cd2502806d124f095f662e05927050469b8a6f39b18487b84de00881f3f1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c501889cfa2f36722239225af80e66a00d9909c0e74fc48b2d69165176300a02",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-01-02T07:44:48Z",
"title_canon_sha256": "81987916f15c14e488511f446703b2c6563751766250fa1dc54d263c3414d0fd"
},
"schema_version": "1.0",
"source": {
"id": "2501.01123",
"kind": "arxiv",
"version": 1
}
}