Pith Number
pith:KDYTHCUD
pith:2023:KDYTHCUDWMFVR4G3CUNQ24Q2RT
not attested
not anchored
not stored
refs pending
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
arxiv:2310.11451 v2 · 2023-10-17 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KDYTHCUDWMFVR4G3CUNQ24Q2RT}
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 | 2026-07-05T08:16:43.139461Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
50f1338a83b30b58f0db151b0d721a8cef3287425617580ab20701b6e2b37d94
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KDYTHCUDWMFVR4G3CUNQ24Q2RT \
| 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: 50f1338a83b30b58f0db151b0d721a8cef3287425617580ab20701b6e2b37d94
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "312c78527e3329cdc43783417df1cf4d988505dce8f3a729450ad9c337cd44e5",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-10-17T17:58:34Z",
"title_canon_sha256": "bd249448e4106e158a58f8191d9d893c23ce68684f89e8c7a77780c5509c651f"
},
"schema_version": "1.0",
"source": {
"id": "2310.11451",
"kind": "arxiv",
"version": 2
}
}