Pith Number
pith:BHI73FPE
pith:2025:BHI73FPER2BEXGG52N2U7VD45K
not attested
not anchored
not stored
refs pending
A Deep Reinforcement Learning Method for Multi-objective Transmission Switching
arxiv:2507.11726 v1 · 2025-07-15 · eess.SY · cs.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BHI73FPER2BEXGG52N2U7VD45K}
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 | 2026-07-05T11:37:49.411162Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
09d1fd95e48e824b98ddd3754fd47ceabcda80035e505a4167ee371c0be13d14
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BHI73FPER2BEXGG52N2U7VD45K \
| 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: 09d1fd95e48e824b98ddd3754fd47ceabcda80035e505a4167ee371c0be13d14
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0a464e096c8741466a6113e40ecf89b1b8677b378ecf81807a9b4cae2197361f",
"cross_cats_sorted": [
"cs.SY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SY",
"submitted_at": "2025-07-15T20:49:48Z",
"title_canon_sha256": "5ad1c47c76f328bda9a5141fbf383d9dc3e1796fa9f719dc147a3267893a0982"
},
"schema_version": "1.0",
"source": {
"id": "2507.11726",
"kind": "arxiv",
"version": 1
}
}