Pith Number
pith:WXVWCQEJ
pith:2022:WXVWCQEJR5CHJYCPS7QQAP7XV4
not attested
not anchored
not stored
refs pending
MIME: Adapting a Single Neural Network for Multi-task Inference with Memory-efficient Dynamic Pruning
arxiv:2204.05274 v1 · 2022-04-11 · cs.LG · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WXVWCQEJR5CHJYCPS7QQAP7XV4}
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 | 2026-07-05T04:32:58.455708Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b5eb6140898f4474e04f97e1003ff7af1bc130cc47bebba486677339c05e7510
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WXVWCQEJR5CHJYCPS7QQAP7XV4 \
| 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: b5eb6140898f4474e04f97e1003ff7af1bc130cc47bebba486677339c05e7510
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e4db81d61493b404307b8220c929c21e8a6ae90c980e1daa8dc03e0321dd95a4",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-04-11T17:25:54Z",
"title_canon_sha256": "da30ca8f1ba8ee5c03e6945ec4b9b15f9a3fedd9be1d50c9528498c2bbb8b2b3"
},
"schema_version": "1.0",
"source": {
"id": "2204.05274",
"kind": "arxiv",
"version": 1
}
}