Pith Number
pith:55GWFNLB
pith:2023:55GWFNLBIYKU7QKIDNQ4CCTHNK
not attested
not anchored
not stored
refs pending
Inverse folding for antibody sequence design using deep learning
arxiv:2310.19513 v1 · 2023-10-30 · q-bio.BM · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{55GWFNLBIYKU7QKIDNQ4CCTHNK}
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
· sign in to
claim
4
Citations
5
Replications
✓
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T07:06:51.984225Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ef4d62b56146154fc1481b61c10a676a9f0a5461f59537559809c366fecf0fe9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/55GWFNLBIYKU7QKIDNQ4CCTHNK \
| 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: ef4d62b56146154fc1481b61c10a676a9f0a5461f59537559809c366fecf0fe9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0f023ac64575a44c9d45711a2905d10d55603f4fa7935366feabbde186c2ef78",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "q-bio.BM",
"submitted_at": "2023-10-30T13:12:41Z",
"title_canon_sha256": "930a78cf4ac811d02fd5923c327c7e9a7e07dc7d41fdb542168a6404a6216ef4"
},
"schema_version": "1.0",
"source": {
"id": "2310.19513",
"kind": "arxiv",
"version": 1
}
}