Pith Number
pith:G62RJPVT
pith:2025:G62RJPVTUUXHVNICHYMD3SKN4X
not attested
not anchored
not stored
refs pending
Predicting Turn-Taking and Backchannel in Human-Machine Conversations Using Linguistic, Acoustic, and Visual Signals
arxiv:2505.12654 v2 · 2025-05-19 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{G62RJPVTUUXHVNICHYMD3SKN4X}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:05:45.471702Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
37b514beb3a52e7ab5023e183dc94de5ff05126b3b54b87b0b090d4195a9e350
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G62RJPVTUUXHVNICHYMD3SKN4X \
| 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: 37b514beb3a52e7ab5023e183dc94de5ff05126b3b54b87b0b090d4195a9e350
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a31d2c022716c02b7ed4ccca5d276e30197b89822000089278791dcc959a052d",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-05-19T03:08:30Z",
"title_canon_sha256": "d14286e873ccfd58f0ae68b65141f9f2bcee1889a43585caf06b4ed960fd6c91"
},
"schema_version": "1.0",
"source": {
"id": "2505.12654",
"kind": "arxiv",
"version": 2
}
}