Pith Number
pith:ZCDYDLQZ
pith:2016:ZCDYDLQZTHW4ANZ4647W3KUQZC
not attested
not anchored
not stored
refs pending
On convergence rates of game theoretic reinforcement learning algorithms
arxiv:1612.04724 v2 · 2016-12-14 · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZCDYDLQZTHW4ANZ4647W3KUQZC}
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 | 2026-05-18T00:29:05.832793Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c88781ae1999edc0373cf73f6daa90c8a9ef691770452f0166649ed5767988d2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZCDYDLQZTHW4ANZ4647W3KUQZC \
| 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: c88781ae1999edc0373cf73f6daa90c8a9ef691770452f0166649ed5767988d2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e1f8ebd124c1205e91fdd15d2891fa2b00930a1f2fd61125dbec76deaece3f57",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.OC",
"submitted_at": "2016-12-14T16:54:09Z",
"title_canon_sha256": "266599db6a502976118ae32a7d5e984af61d6e92606bae02737f37df2b67cc19"
},
"schema_version": "1.0",
"source": {
"id": "1612.04724",
"kind": "arxiv",
"version": 2
}
}