Pith Number
pith:GWNGNI4J
pith:2024:GWNGNI4J27GTSXDCLD4KIA6F2N
not attested
not anchored
not stored
refs pending
Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks
arxiv:2410.02596 v1 · 2024-10-03 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GWNGNI4J27GTSXDCLD4KIA6F2N}
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 | 2026-07-05T09:15:23.329149Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
359a66a389d7cd395c6258f8a403c5d36dc0d52f0783a2535d66aefdc46fbcea
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GWNGNI4J27GTSXDCLD4KIA6F2N \
| 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: 359a66a389d7cd395c6258f8a403c5d36dc0d52f0783a2535d66aefdc46fbcea
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6d2320a3c06a4f63dd64d09fe7d6954bd04a04770bc24c243a5565a1b2231696",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-10-03T15:37:22Z",
"title_canon_sha256": "c9f80b5ad31c824b25a3c9bdd49534a62d7325c8e1648094cce8ad956b3b4e64"
},
"schema_version": "1.0",
"source": {
"id": "2410.02596",
"kind": "arxiv",
"version": 1
}
}