Pith Number
pith:4E5OFFJM
pith:2023:4E5OFFJMEOH3JSTVEPOIAS3T72
not attested
not anchored
not stored
refs pending
Large language models predict human sensory judgments across six modalities
arxiv:2302.01308 v2 · 2023-02-02 · cs.CL · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4E5OFFJMEOH3JSTVEPOIAS3T72}
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
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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 | 2026-07-05T06:21:05.461747Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e13ae2952c238fb4ca7523dc804b73fe952df1815acbda68b8c4d70940b5ec29
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4E5OFFJMEOH3JSTVEPOIAS3T72 \
| 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: e13ae2952c238fb4ca7523dc804b73fe952df1815acbda68b8c4d70940b5ec29
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "83cc18bcaf48d1ad611b5a327d01f553dec3da09f747cc622ff7c7aeb2529c58",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-02-02T18:32:46Z",
"title_canon_sha256": "2b79fd75d4da32c1e27f4a99a78dd821ae0cb3728f43afb290f4fcd841a35636"
},
"schema_version": "1.0",
"source": {
"id": "2302.01308",
"kind": "arxiv",
"version": 2
}
}