Pith Number
pith:IV5RLNIV
pith:2024:IV5RLNIVKKZNMFPE6LXVA7GSW4
not attested
not anchored
not stored
refs pending
Protein Structure Prediction in the 3D HP Model Using Deep Reinforcement Learning
arxiv:2412.20329 v1 · 2024-12-29 · cs.LG · cs.AI · q-bio.BM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IV5RLNIVKKZNMFPE6LXVA7GSW4}
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 | 2026-07-05T09:55:16.951549Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
457b15b51552b2d615e4f2ef507cd2b70c0480e8844e5f9ff6b20b007d9fe590
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IV5RLNIVKKZNMFPE6LXVA7GSW4 \
| 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: 457b15b51552b2d615e4f2ef507cd2b70c0480e8844e5f9ff6b20b007d9fe590
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "977baee59a868e3b17f6b4b392258145625c71ab6c122a9d09a567c672da2e62",
"cross_cats_sorted": [
"cs.AI",
"q-bio.BM"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-12-29T02:55:54Z",
"title_canon_sha256": "f73e77ebe773d869de78ea98f4bf240a0dbe26ba6709f470c459b8303981bb5d"
},
"schema_version": "1.0",
"source": {
"id": "2412.20329",
"kind": "arxiv",
"version": 1
}
}