Pith Number
pith:XYGLGOPH
pith:2025:XYGLGOPHPXBGHFSAHVJ5FZLDPZ
not attested
not anchored
not stored
refs pending
Leveraging Large Language Models for enzymatic reaction prediction and characterization
arxiv:2505.05616 v1 · 2025-05-08 · cs.AI · cs.LG · q-bio.BM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XYGLGOPHPXBGHFSAHVJ5FZLDPZ}
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 | 2026-07-05T11:00:29.158766Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
be0cb339e77dc26396403d53d2e5637e6da28383f03aa0e21b67d37df2a73591
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XYGLGOPHPXBGHFSAHVJ5FZLDPZ \
| 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: be0cb339e77dc26396403d53d2e5637e6da28383f03aa0e21b67d37df2a73591
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ff50d8f654378fb8dc4c459fff098f14eaf8e131b15bebc5fdd9964943710e14",
"cross_cats_sorted": [
"cs.LG",
"q-bio.BM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-05-08T19:53:53Z",
"title_canon_sha256": "ce880617ce423a3dd6956cebc155e8c9ed77911fcb0c4c590d9cc569ffc9bbec"
},
"schema_version": "1.0",
"source": {
"id": "2505.05616",
"kind": "arxiv",
"version": 1
}
}