Pith Number
pith:ZLR3BBUZ
pith:2026:ZLR3BBUZ22SUDJDRWN6OCGKO73
not attested
not anchored
not stored
refs pending
CALM-IT: Generating Realistic Long-Form Motivational Interviewing Dialogues with Dual-Actor Conversational Dynamics Tracking
arxiv:2601.10085 v2 · 2026-01-15 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZLR3BBUZ22SUDJDRWN6OCGKO73}
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 | 2026-05-28T01:04:35.340610Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cae3b08699d6a541a471b37ce1194efef31ec9660fb9374e5fde1e1f6761a5db
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZLR3BBUZ22SUDJDRWN6OCGKO73 \
| 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: cae3b08699d6a541a471b37ce1194efef31ec9660fb9374e5fde1e1f6761a5db
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5e22c7819dd18b639f8f45ad189b914b06787ac55464128f700db0f051b861b6",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-01-15T05:21:54Z",
"title_canon_sha256": "b54b180465fea6c35ccb7e8706c7511d99c278b599742d306616623538e4e6da"
},
"schema_version": "1.0",
"source": {
"id": "2601.10085",
"kind": "arxiv",
"version": 2
}
}