Pith Number
pith:4G6UROWJ
pith:2023:4G6UROWJHGWVGHZCV7PLTWPIVH
not attested
not anchored
not stored
refs pending
An Adaptive Dual-level Reinforcement Learning Approach for Optimal Trade Execution
arxiv:2307.10649 v1 · 2023-07-20 · q-fin.CP · q-fin.TR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4G6UROWJHGWVGHZCV7PLTWPIVH}
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
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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 | 2026-07-05T06:33:08.137854Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e1bd48bac939ad531f22afdeb9d9e8a9f2401198d26d1d78df7c26401494ffd3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4G6UROWJHGWVGHZCV7PLTWPIVH \
| 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: e1bd48bac939ad531f22afdeb9d9e8a9f2401198d26d1d78df7c26401494ffd3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ffd2bfd560db6658db683c76f3203d6b0d067d38c5c6e71e901acaacd2020334",
"cross_cats_sorted": [
"q-fin.TR"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "q-fin.CP",
"submitted_at": "2023-07-20T07:28:49Z",
"title_canon_sha256": "17b7f71aef0637e889df6c6e7c2f809854dead73d6bd8fcf7c410bb30792365d"
},
"schema_version": "1.0",
"source": {
"id": "2307.10649",
"kind": "arxiv",
"version": 1
}
}