Pith Number
pith:USZ7P6DX
pith:2026:USZ7P6DXCLYRNR6BP4FQM4FCTF
not attested
not anchored
not stored
refs pending
Heterogeneous Neural Predictivity from Language Models During Naturalistic Comprehension
arxiv:2606.26880 v1 · 2026-06-25 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{USZ7P6DXCLYRNR6BP4FQM4FCTF}
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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4
Citations
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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 | 2026-06-26T01:16:02.809662Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a4b3f7f87712f116c7c17f0b0670a2996f227b260ef603e98a4a05116a74918f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/USZ7P6DXCLYRNR6BP4FQM4FCTF \
| 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: a4b3f7f87712f116c7c17f0b0670a2996f227b260ef603e98a4a05116a74918f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b08eac7906e51abf76f885d0a357752c59941584df348bce6f3fa31505ffc01b",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-06-25T11:08:49Z",
"title_canon_sha256": "fec7b4763bea612f2c278754c661170a4b497919df6fb7e6cf1ffa373bb63051"
},
"schema_version": "1.0",
"source": {
"id": "2606.26880",
"kind": "arxiv",
"version": 1
}
}