Pith Number
pith:5TSLGNQO
pith:2019:5TSLGNQO7QOD7ENYDCKV6WA247
not attested
not anchored
not stored
refs pending
The critical temperature of the 2D-Ising model through Deep Learning Autoencoders
arxiv:1903.03506 v2 · 2019-03-08 · cond-mat.stat-mech · cond-mat.dis-nn · hep-lat · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5TSLGNQO7QOD7ENYDCKV6WA247}
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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.
Receipt and verification
| First computed | 2026-07-05T01:58:53.704566Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ece4b3360efc1c3f91b818955f581ae7c9a0540c3ce35271cca4a673f11bf661
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5TSLGNQO7QOD7ENYDCKV6WA247 \
| 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: ece4b3360efc1c3f91b818955f581ae7c9a0540c3ce35271cca4a673f11bf661
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "948213f361921676e5a9b8e40bf851dea1025e89a4f16643410abecdffeafd7b",
"cross_cats_sorted": [
"cond-mat.dis-nn",
"hep-lat",
"physics.comp-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cond-mat.stat-mech",
"submitted_at": "2019-03-08T15:33:22Z",
"title_canon_sha256": "b86b809bcbdf8f4be28c2fac104f99463c95d35a535f6167b08a17c6cf837731"
},
"schema_version": "1.0",
"source": {
"id": "1903.03506",
"kind": "arxiv",
"version": 2
}
}