Pith Number
pith:YAXDHWKQ
pith:2020:YAXDHWKQGAX66KUI4BD3VHSTEA
not attested
not anchored
not stored
refs pending
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers
arxiv:2005.06870 v1 · 2020-05-14 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YAXDHWKQGAX66KUI4BD3VHSTEA}
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 | 2026-07-05T01:02:51.483308Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c02e33d950302fef2a88e047ba9e532010710dcb9ebcd7d0d5026405e7ac8bd8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YAXDHWKQGAX66KUI4BD3VHSTEA \
| 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: c02e33d950302fef2a88e047ba9e532010710dcb9ebcd7d0d5026405e7ac8bd8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3459109ccae67d9b54683a0da7a309ab7739470fd8f15a72bbb1072af23b8423",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-05-14T11:05:21Z",
"title_canon_sha256": "04a91982761ffde7a2af0fc66c2774d156bc3d176613f2dc27e635f4e172c43a"
},
"schema_version": "1.0",
"source": {
"id": "2005.06870",
"kind": "arxiv",
"version": 1
}
}