Pith Number
pith:DPDEYQDM
pith:2024:DPDEYQDMSPXXA6TRC3X7SLE7TN
not attested
not anchored
not stored
refs pending
Pre-training with Fractional Denoising to Enhance Molecular Property Prediction
arxiv:2407.11086 v1 · 2024-07-14 · cs.LG · cs.AI · physics.chem-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DPDEYQDMSPXXA6TRC3X7SLE7TN}
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 | 2026-07-05T08:44:18.331899Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1bc64c406c93ef707a7116eff92c9f9b6c191c011bb7deceba4ee02bc763b2f7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DPDEYQDMSPXXA6TRC3X7SLE7TN \
| 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: 1bc64c406c93ef707a7116eff92c9f9b6c191c011bb7deceba4ee02bc763b2f7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d7ba7b324a1bba64a6258c1c6cfb7077ac3cfa25760311a1d8ebec3c7019cc6a",
"cross_cats_sorted": [
"cs.AI",
"physics.chem-ph"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-07-14T11:09:42Z",
"title_canon_sha256": "489cb3f930be528bee99da4e413c9d9faf3d0224e29159ab8c26e47791c5f77a"
},
"schema_version": "1.0",
"source": {
"id": "2407.11086",
"kind": "arxiv",
"version": 1
}
}