Pith Number
pith:37UT2RPV
pith:2024:37UT2RPVJ5JFVFCM4UKIQSTOY2
not attested
not anchored
not stored
refs pending
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness
arxiv:2410.03030 v2 · 2024-10-03 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{37UT2RPVJ5JFVFCM4UKIQSTOY2}
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 | 2026-07-05T10:24:26.234624Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dfe93d45f54f525a944ce514884a6ec6aa2747850246df79622b8ed8e14855ce
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/37UT2RPVJ5JFVFCM4UKIQSTOY2 \
| 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: dfe93d45f54f525a944ce514884a6ec6aa2747850246df79622b8ed8e14855ce
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dfd4dc88ddb17934f8d3641fe14b35764449a91b7fdc0733dfdc11aac90cb567",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-10-03T22:24:54Z",
"title_canon_sha256": "8969f68bda3b6e2081d86796e0d46589455b65ae52d017b29d74802991dc65e7"
},
"schema_version": "1.0",
"source": {
"id": "2410.03030",
"kind": "arxiv",
"version": 2
}
}