Pith Number
pith:EPP4LLBF
pith:2021:EPP4LLBFT6RGO4DI7OMD63QD34
not attested
not anchored
not stored
refs pending
Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights
arxiv:2109.04660 v2 · 2021-09-10 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EPP4LLBFT6RGO4DI7OMD63QD34}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:36:09.963273Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
23dfc5ac259fa2677068fb983f6e03df1df23f1346361c56ba2b8ceac663d605
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EPP4LLBFT6RGO4DI7OMD63QD34 \
| 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: 23dfc5ac259fa2677068fb983f6e03df1df23f1346361c56ba2b8ceac663d605
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8a69d406912ee4e2458ea0959d024f6e7d6813684cf400f5d40d37af44b6e5b8",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-09-10T04:41:17Z",
"title_canon_sha256": "c433a8107d709c9df10faeabd1a1106e8f6c2842275b08773f3c16af4f1ff751"
},
"schema_version": "1.0",
"source": {
"id": "2109.04660",
"kind": "arxiv",
"version": 2
}
}