Pith Number
pith:257IJVRY
pith:2021:257IJVRYXZZWT5JN4HBWROLKXZ
not attested
not anchored
not stored
refs pending
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules
arxiv:2112.04041 v1 · 2021-12-07 · cs.LG · cs.AR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{257IJVRYXZZWT5JN4HBWROLKXZ}
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 | 2026-07-05T03:39:05.522049Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d77e84d638be7369f52de1c368b96abe6d5e5f5050eb5e90c3579757dbbfb7aa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/257IJVRYXZZWT5JN4HBWROLKXZ \
| 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: d77e84d638be7369f52de1c368b96abe6d5e5f5050eb5e90c3579757dbbfb7aa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c0e50068b53cfa30e081f13bd0bcd7150ca7adf47cb324cb88a5e0b03118975c",
"cross_cats_sorted": [
"cs.AR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-12-07T23:40:28Z",
"title_canon_sha256": "a2a631c4d00169c33d8cf592f4d958f410834ae48af47493bc27a559a42c4d23"
},
"schema_version": "1.0",
"source": {
"id": "2112.04041",
"kind": "arxiv",
"version": 1
}
}