Pith Number
pith:GFGYOKRT
pith:2026:GFGYOKRTTZXYSN7BO5QBKEHY4E
not attested
not anchored
not stored
refs pending
Can Reinforcement Learning Efficiently Discover Price Manipulation?
arxiv:2607.06121 v1 · 2026-07-07 · q-fin.TR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GFGYOKRTTZXYSN7BO5QBKEHY4E}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-08T01:18:57.502477Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
314d872a339e6f8937e177601510f8e10b522cdcd7fd13e68d0e5fa500cd10fb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GFGYOKRTTZXYSN7BO5QBKEHY4E \
| 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: 314d872a339e6f8937e177601510f8e10b522cdcd7fd13e68d0e5fa500cd10fb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ccf32ee390d57e3b22f31f0af5a8bcb97b44479421652a75f65bf0d308cd22ad",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "q-fin.TR",
"submitted_at": "2026-07-07T10:29:20Z",
"title_canon_sha256": "1554a755acee461d2bd2f394e7ee7f7fc63ba14108f3e3e6b3a71c72f218a98f"
},
"schema_version": "1.0",
"source": {
"id": "2607.06121",
"kind": "arxiv",
"version": 1
}
}