Pith Number
pith:SFMG5TGE
pith:2023:SFMG5TGEKZTI2CFEUOPGRAAJ37
not attested
not anchored
not stored
refs pending
Progressive Multi-Modality Learning for Inverse Protein Folding
arxiv:2312.06297 v2 · 2023-12-11 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SFMG5TGEKZTI2CFEUOPGRAAJ37}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:46:20.031306Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
91586eccc456668d08a4a39e688009dfc9797a659663dae9f84abbb495751ad6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SFMG5TGEKZTI2CFEUOPGRAAJ37 \
| 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: 91586eccc456668d08a4a39e688009dfc9797a659663dae9f84abbb495751ad6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a91e42896744496f6038b00e9efd859c73bedfb819b30a8db2651aaad24b3b42",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2023-12-11T10:59:23Z",
"title_canon_sha256": "fa12310b01c426a3fe945def1d5234b8d4008a3730168101cb2752cb9f4dc1fa"
},
"schema_version": "1.0",
"source": {
"id": "2312.06297",
"kind": "arxiv",
"version": 2
}
}