Pith Number
pith:BHJMKKFH
pith:2023:BHJMKKFHXPHOPIWQ4OULKHE5E7
not attested
not anchored
not stored
refs pending
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs
arxiv:2311.12862 v1 · 2023-10-25 · cs.DC · cs.CV · cs.LG · cs.PF
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BHJMKKFHXPHOPIWQ4OULKHE5E7}
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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 | 2026-07-05T07:15:19.880743Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
09d2c528a7bbcee7a2d0e3a8b51c9d27fd5d7277cb4d4d749bf66550e0e1fd6c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BHJMKKFHXPHOPIWQ4OULKHE5E7 \
| 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: 09d2c528a7bbcee7a2d0e3a8b51c9d27fd5d7277cb4d4d749bf66550e0e1fd6c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "41d0238ec3606bd82d7f2b32359b95ecf8eac4504da8d0ae3389e3ec54083bf7",
"cross_cats_sorted": [
"cs.CV",
"cs.LG",
"cs.PF"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.DC",
"submitted_at": "2023-10-25T21:02:38Z",
"title_canon_sha256": "1c079adc0c60c0c23320d02a2d2e38a252ec7ebfd86f643e4840dc50e371a038"
},
"schema_version": "1.0",
"source": {
"id": "2311.12862",
"kind": "arxiv",
"version": 1
}
}