Pith Number
pith:ACP2WLMA
pith:2025:ACP2WLMAV5MNKU4BBIOTZCRJQL
not attested
not anchored
not stored
refs pending
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
arxiv:2502.02941 v1 · 2025-02-05 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ACP2WLMAV5MNKU4BBIOTZCRJQL}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:09:57.159018Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
009fab2d80af58d553810a1d3c8a2982ef9e8ceb95e897fd8020f9df41d1a33e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ACP2WLMAV5MNKU4BBIOTZCRJQL \
| 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: 009fab2d80af58d553810a1d3c8a2982ef9e8ceb95e897fd8020f9df41d1a33e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b21958ad5e06677d2178d07b0921deca97aac8504d8ad9e101cb1e86bcb318db",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-05T07:13:43Z",
"title_canon_sha256": "ff5de921c5641b1f6e3fa8e73c158e8a9c0ac31fba3c993877e4b2d12b4c47c8"
},
"schema_version": "1.0",
"source": {
"id": "2502.02941",
"kind": "arxiv",
"version": 1
}
}