Pith Number
pith:6DFVQA7A
pith:2023:6DFVQA7A6C4DK35CQKQDZZPOUJ
not attested
not anchored
not stored
refs pending
Challenges of Large Language Models for Mental Health Counseling
arxiv:2311.13857 v1 · 2023-11-23 · cs.CL · cs.AI · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6DFVQA7A6C4DK35CQKQDZZPOUJ}
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 | 2026-07-05T07:16:09.146519Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f0cb5803e0f0b8356fa282a03ce5eea2744daa8e034ed8ffa1563eaeef54cd51
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6DFVQA7A6C4DK35CQKQDZZPOUJ \
| 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: f0cb5803e0f0b8356fa282a03ce5eea2744daa8e034ed8ffa1563eaeef54cd51
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a1435ee4b9abfe7e066c0fdf5c8752926600e4bea0dfffd7456e61c07474b669",
"cross_cats_sorted": [
"cs.AI",
"cs.HC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-11-23T08:56:41Z",
"title_canon_sha256": "ca08ff1af44feac2449a7b764786d2b41be472aa93caee2596025a0994a99208"
},
"schema_version": "1.0",
"source": {
"id": "2311.13857",
"kind": "arxiv",
"version": 1
}
}