Pith Number
pith:DMWCYML7
pith:2026:DMWCYML7W26VGMIDO4Z64SQRYF
not attested
not anchored
not stored
refs pending
Correcting DFT formation energies towards experimental accuracy using foundational MLIPs and latent-feature delta-learning
arxiv:2607.18092 v1 · 2026-07-20 · cond-mat.mtrl-sci
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DMWCYML7W26VGMIDO4Z64SQRYF}
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 | 2026-07-21T02:22:15.964147Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1b2c2c317fb6bd5331037733ee4a11c1721bdb4e9da541eaa5e244ce9d0f937b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DMWCYML7W26VGMIDO4Z64SQRYF \
| 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: 1b2c2c317fb6bd5331037733ee4a11c1721bdb4e9da541eaa5e244ce9d0f937b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "316fed77de28f08c3eb53490a138d194798b64c0ebf63fa637adb83f4dc1dfc1",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2026-07-20T15:55:37Z",
"title_canon_sha256": "581c7932374c160ba55cb315c47209c5e3408182610b16305a354bf32ce2b94e"
},
"schema_version": "1.0",
"source": {
"id": "2607.18092",
"kind": "arxiv",
"version": 1
}
}