Pith Number
pith:754WANHT
pith:2024:754WANHT3HS5OTPCYMWOJ7KLQX
not attested
not anchored
not stored
refs pending
Solving Boltzmann Optimization Problems with Deep Learning
arxiv:2401.17408 v1 · 2024-01-30 · cs.LG · cs.ET · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{754WANHT3HS5OTPCYMWOJ7KLQX}
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 | 2026-07-05T07:39:36.435656Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ff796034f3d9e5d74de2c32ce4fd4b85e56b828ee592ecce57bb5199ae43a446
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/754WANHT3HS5OTPCYMWOJ7KLQX \
| 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: ff796034f3d9e5d74de2c32ce4fd4b85e56b828ee592ecce57bb5199ae43a446
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "16592ff8d27bac85cf1cb0b60ffd34fc00d478464cf66b8d43d7856bdfff2c64",
"cross_cats_sorted": [
"cs.ET",
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-01-30T19:52:02Z",
"title_canon_sha256": "eb7967a2737e6f32c4b972d9b53628e1b61a43203d4be3a5707a57e7089e689d"
},
"schema_version": "1.0",
"source": {
"id": "2401.17408",
"kind": "arxiv",
"version": 1
}
}