Pith Number
pith:DVPNAPI6
pith:2024:DVPNAPI6XGGKYC7SSKQW6ITAAW
not attested
not anchored
not stored
refs pending
Iterative variational learning of committor-consistent transition pathways using artificial neural networks
arxiv:2412.01947 v1 · 2024-12-02 · physics.comp-ph · cond-mat.stat-mech · physics.data-an
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DVPNAPI6XGGKYC7SSKQW6ITAAW}
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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 | 2026-07-05T09:43:41.347073Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1d5ed03d1eb98cac0bf292a16f226005b8b625e6b05c9fb4b1a3b9cbeebb3cb5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DVPNAPI6XGGKYC7SSKQW6ITAAW \
| 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: 1d5ed03d1eb98cac0bf292a16f226005b8b625e6b05c9fb4b1a3b9cbeebb3cb5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8543130ecb614d4c73cb6de11916e2f66c3286628c1b7b8703dbe4b08acc8278",
"cross_cats_sorted": [
"cond-mat.stat-mech",
"physics.data-an"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.comp-ph",
"submitted_at": "2024-12-02T20:16:28Z",
"title_canon_sha256": "4823b3b9c387560d6c5416d75c9e882ddda1cdfed986329e564f69c31a60fda6"
},
"schema_version": "1.0",
"source": {
"id": "2412.01947",
"kind": "arxiv",
"version": 1
}
}