Pith Number
pith:ZPYT4M43
pith:2025:ZPYT4M43H47ZL6YWQLEZV6PMNK
not attested
not anchored
not stored
refs pending
Hecate: Unlocking Efficient Sparse Model Training via Fully Sharded Sparse Data Parallelism
arxiv:2502.02581 v1 · 2025-02-04 · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZPYT4M43H47ZL6YWQLEZV6PMNK}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:09:30.463011Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cbf13e339b3f3f95fb1682c99af9ec6a9d6fad505900117af81eb99e696fd03d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZPYT4M43H47ZL6YWQLEZV6PMNK \
| 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: cbf13e339b3f3f95fb1682c99af9ec6a9d6fad505900117af81eb99e696fd03d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7610c321a287b1f644d6841f1b119fbb857deaeb1dfca6c91034828144607a46",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2025-02-04T18:56:00Z",
"title_canon_sha256": "cc329673d290be66c92ae431e8bfca81f432edcd0caf969e42f4c13ce0e77df4"
},
"schema_version": "1.0",
"source": {
"id": "2502.02581",
"kind": "arxiv",
"version": 1
}
}