Pith Number
pith:2PK5K7OR
pith:2019:2PK5K7ORGOOXLJJIMHQEQMRRCC
not attested
not anchored
not stored
refs pending
Adaptative Inference Cost With Convolutional Neural Mixture Models
arxiv:1908.06694 v1 · 2019-08-19 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2PK5K7ORGOOXLJJIMHQEQMRRCC}
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 | 2026-07-04T23:58:18.531157Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d3d5d57dd1339d75a52861e0483231109eb2cd5c41a1f944e4c9f74b7ab177f3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2PK5K7ORGOOXLJJIMHQEQMRRCC \
| 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: d3d5d57dd1339d75a52861e0483231109eb2cd5c41a1f944e4c9f74b7ab177f3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "29bdee74b1e40905efdcc7d4538c485146728eecff248af53e4e9c8ad80d13eb",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-08-19T11:10:50Z",
"title_canon_sha256": "642f55f6ae49d1c0ad4cb37400cedb75b3455f697fa092282aee3180251dcfb0"
},
"schema_version": "1.0",
"source": {
"id": "1908.06694",
"kind": "arxiv",
"version": 1
}
}