Pith Number
pith:4M4DUMEA
pith:2025:4M4DUMEAC5Z2W36NQXLAW35Y47
not attested
not anchored
not stored
refs pending
DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs
arxiv:2508.16769 v1 · 2025-08-22 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4M4DUMEAC5Z2W36NQXLAW35Y47}
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 | 2026-07-05T11:58:03.368046Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e3383a30801773ab6fcd85d60b6fb8e7e7a5fcce7b25fe0ccfc9fc14f6fa0123
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4M4DUMEAC5Z2W36NQXLAW35Y47 \
| 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: e3383a30801773ab6fcd85d60b6fb8e7e7a5fcce7b25fe0ccfc9fc14f6fa0123
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ffd0b77cc784cc6b394f51b0b181000fdaed849e0f4a122e832765af51422323",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-08-22T20:05:38Z",
"title_canon_sha256": "571c73b20f76e2ea153b70e6cb5ddc982bf707325ec9783058f13ea42e1516f5"
},
"schema_version": "1.0",
"source": {
"id": "2508.16769",
"kind": "arxiv",
"version": 1
}
}