Pith Number
pith:DYGFBEOJ
pith:2025:DYGFBEOJ26LBNUBBGXWITX2K5R
not attested
not anchored
not stored
refs pending
High-Accuracy Physical Property Prediction for Organics via Molecular Representation Learning: Bridging Data to Discovery
arxiv:2501.09896 v1 · 2025-01-17 · physics.chem-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DYGFBEOJ26LBNUBBGXWITX2K5R}
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 | 2026-06-11T01:09:11.002402Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1e0c5091c9d79616d02135ec89df4aec5800982912be1976d7c8ae54ee2a8860
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DYGFBEOJ26LBNUBBGXWITX2K5R \
| 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: 1e0c5091c9d79616d02135ec89df4aec5800982912be1976d7c8ae54ee2a8860
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6a0a4fc39560c9d8f5904d25b8248fcef668d9516e19e4dd5e9e8390d2ba8acc",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.chem-ph",
"submitted_at": "2025-01-17T00:52:04Z",
"title_canon_sha256": "1ad6b7661439d0774215b6858b2707b346a5798699cc5a53062e15e73ed01ce1"
},
"schema_version": "1.0",
"source": {
"id": "2501.09896",
"kind": "arxiv",
"version": 1
}
}