Pith Number
pith:IPXT4G4G
pith:2023:IPXT4G4GQ3V7FCMF7FUR6DNC5K
not attested
not anchored
not stored
refs pending
Injecting structural hints: Using language models to study inductive biases in language learning
arxiv:2304.13060 v2 · 2023-04-25 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IPXT4G4GQ3V7FCMF7FUR6DNC5K}
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 | 2026-07-05T07:06:26.102489Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
43ef3e1b8686ebf28985f9691f0da2eaaa71b6c8f9b898931820fc1230a4aa24
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IPXT4G4GQ3V7FCMF7FUR6DNC5K \
| 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: 43ef3e1b8686ebf28985f9691f0da2eaaa71b6c8f9b898931820fc1230a4aa24
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "56f5f36b4720ad164ace4a7b7fad861f491c7f20132e00cd71eecbe3c2cf9440",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-04-25T18:00:08Z",
"title_canon_sha256": "e6e2e7d3144d89e13f50e44dd98ea78191c9d2c73c15dc73cc89f92aed68f1b1"
},
"schema_version": "1.0",
"source": {
"id": "2304.13060",
"kind": "arxiv",
"version": 2
}
}