Pith Number
pith:CZQC64EX
pith:2016:CZQC64EX3JJKLL4EGOPETDFCCS
not attested
not anchored
not stored
refs pending
Using Reinforcement Learning to Validate Empirical Game-Theoretic Analysis: A Continuous Double Auction Study
arxiv:1604.06710 v1 · 2016-04-22 · cs.AI · cs.GT
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CZQC64EX3JJKLL4EGOPETDFCCS}
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 | 2026-05-18T01:16:28.383238Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
16602f7097da52a5af84339e498ca2148f255534fe382d1e77e1ca4b84abb8e6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CZQC64EX3JJKLL4EGOPETDFCCS \
| 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: 16602f7097da52a5af84339e498ca2148f255534fe382d1e77e1ca4b84abb8e6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8d92150e604a15ee2e221a8a0522a26753a7cfe2caafb3d3cac5ef0e950d20c8",
"cross_cats_sorted": [
"cs.GT"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2016-04-22T15:23:27Z",
"title_canon_sha256": "23e3b1a873e9da9b56d6e127f2ccad4905b0f309563bd07d57258b73e3182ec8"
},
"schema_version": "1.0",
"source": {
"id": "1604.06710",
"kind": "arxiv",
"version": 1
}
}