Pith Number
pith:UPFCSFK3
pith:2024:UPFCSFK3B7MTDVAJ2S5L6JOKLD
not attested
not anchored
not stored
refs pending
ML-SPEAK: A Theory-Guided Machine Learning Method for Studying and Predicting Conversational Turn-taking Patterns
arxiv:2411.15405 v1 · 2024-11-23 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UPFCSFK3B7MTDVAJ2S5L6JOKLD}
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 | 2026-07-05T09:39:34.020052Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a3ca29155b0fd931d409d4babf25ca58f1e2e1b1b6dd04fde10c5dc1cdcc4048
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UPFCSFK3B7MTDVAJ2S5L6JOKLD \
| 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: a3ca29155b0fd931d409d4babf25ca58f1e2e1b1b6dd04fde10c5dc1cdcc4048
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "276b7f9d21d7ba42b18c0d3dbbaf783a398b82332a34804ef4c518b10f57e587",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-11-23T01:27:01Z",
"title_canon_sha256": "c82b4c928c05b1ed52281bffddeb21e1b87abe9601dd0f83bc77abc41845523f"
},
"schema_version": "1.0",
"source": {
"id": "2411.15405",
"kind": "arxiv",
"version": 1
}
}