Pith Number
pith:O6AXBJYV
pith:2026:O6AXBJYV5DRRA55JGHH7FKEMYJ
not attested
not anchored
not stored
refs pending
Thermodynamics-Informed Machine Learning for Energy Materials Discovery
arxiv:2607.26296 v1 · 2026-07-28 · cond-mat.mtrl-sci
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{O6AXBJYV5DRRA55JGHH7FKEMYJ}
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.
Receipt and verification
| First computed | 2026-07-30T01:17:56.858234Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | unsigned_v0 |
| Schema | pith-number/v1.0 |
Canonical hash
778170a715e8e31077a931cff2a88cc26b001a7126f3b58b2aef3d271045f473
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O6AXBJYV5DRRA55JGHH7FKEMYJ \
| 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: 778170a715e8e31077a931cff2a88cc26b001a7126f3b58b2aef3d271045f473
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "10998d586b99352e5443c8146527a35509f571be3d15c69531afe571c0b93117",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2026-07-28T21:37:03Z",
"title_canon_sha256": "6e57ccbd65444c9cceafbc345dfcf51d42b2d5f17f129f709aa358a30214aae9"
},
"schema_version": "1.0",
"source": {
"id": "2607.26296",
"kind": "arxiv",
"version": 1
}
}