Pith Number
pith:PMTRRNNA
pith:2024:PMTRRNNA5VO5QX3BSI7TN7COYN
not attested
not anchored
not stored
refs pending
Learning How Hard to Think: Input-Adaptive Allocation of LM Computation
arxiv:2410.04707 v1 · 2024-10-07 · cs.LG · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PMTRRNNA5VO5QX3BSI7TN7COYN}
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 | 2026-07-05T09:16:54.953070Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7b2718b5a0ed5dd85f61923f36fc4ec340a742c55955b68440b2f5c5423b4773
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PMTRRNNA5VO5QX3BSI7TN7COYN \
| 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: 7b2718b5a0ed5dd85f61923f36fc4ec340a742c55955b68440b2f5c5423b4773
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a687f34c391e17808394baec5a04370523245a2380f4fb72e77df0e289f2460f",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-10-07T02:52:30Z",
"title_canon_sha256": "54235b4effcb53545fa0611ee0075595b665daeaba35b2cc48a66b42151f7a5d"
},
"schema_version": "1.0",
"source": {
"id": "2410.04707",
"kind": "arxiv",
"version": 1
}
}