Pith Number
pith:AZ64YAOO
pith:2025:AZ64YAOOPMLPQBNDB427IYPKTL
not attested
not anchored
not stored
refs pending
Advanced Deep Learning Methods for Protein Structure Prediction and Design
arxiv:2503.13522 v3 · 2025-03-14 · q-bio.BM · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AZ64YAOOPMLPQBNDB427IYPKTL}
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.
Receipt and verification
| First computed | 2026-07-05T10:41:21.882776Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
067dcc01ce7b16f805a30f35f461ea9adf7d321ac8af8661a860d49c86f02ab8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AZ64YAOOPMLPQBNDB427IYPKTL \
| 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: 067dcc01ce7b16f805a30f35f461ea9adf7d321ac8af8661a860d49c86f02ab8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6760f8af9509fe1e7b3b663f76d3f14faaa72560ce3f09646607cd39febffd64",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "q-bio.BM",
"submitted_at": "2025-03-14T21:28:29Z",
"title_canon_sha256": "8bd62e867a91450f391722fabde02641315fd4cb29c352898124e1f55e5131ac"
},
"schema_version": "1.0",
"source": {
"id": "2503.13522",
"kind": "arxiv",
"version": 3
}
}