Pith Number
pith:56B4FAAJ
pith:2025:56B4FAAJTIMWTTSBWIV64DHPLZ
not attested
not anchored
not stored
refs pending
Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory
arxiv:2501.05965 v1 · 2025-01-10 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{56B4FAAJTIMWTTSBWIV64DHPLZ}
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 | 2026-07-05T09:59:30.955573Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ef83c280099a1969ce41b22bee0cef5e4953deff06296ab6340309e782100e51
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/56B4FAAJTIMWTTSBWIV64DHPLZ \
| 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: ef83c280099a1969ce41b22bee0cef5e4953deff06296ab6340309e782100e51
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4c44d5bed15af0810bda6eae33fdc88364c5b64cf3f46af972e75d80d5db4684",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-10T13:47:13Z",
"title_canon_sha256": "bf633a9eeba8509869d7e9753459b0639a2edabeeddceb84ab11a4bc5b693828"
},
"schema_version": "1.0",
"source": {
"id": "2501.05965",
"kind": "arxiv",
"version": 1
}
}