Pith Number
pith:T6J67MLB
pith:2025:T6J67MLBUAIGT5OXWHFAJ2ZL5K
not attested
not anchored
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refs pending
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
arxiv:2503.11240 v2 · 2025-03-14 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{T6J67MLBUAIGT5OXWHFAJ2ZL5K}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T10:39:47.694592Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9f93efb161a01069f5d7b1ca04eb2bea9773eaed7f9d2d810cbf380123fd8c5b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/T6J67MLBUAIGT5OXWHFAJ2ZL5K \
| 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: 9f93efb161a01069f5d7b1ca04eb2bea9773eaed7f9d2d810cbf380123fd8c5b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c48f98477ec681a71d3eabcfc317bcad13e8d9d31fafc5c39c4e3960f149b0d5",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-03-14T09:45:19Z",
"title_canon_sha256": "8c94432203150809712d32c72eb3ac1cf37dc01d2b157d24c5b358b988e7f51a"
},
"schema_version": "1.0",
"source": {
"id": "2503.11240",
"kind": "arxiv",
"version": 2
}
}