Pith Number

pith:TM3UUM3P

pith:2018:TM3UUM3PHH7SLUWSLX4AZTNRSX

not attested not anchored not stored refs pending

On Learning Intrinsic Rewards for Policy Gradient Methods

Junhyuk Oh, Satinder Singh, Zeyu Zheng

arxiv:1804.06459 v2 · 2018-04-17 · cs.AI · cs.LG · stat.ML

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{TM3UUM3PHH7SLUWSLX4AZTNRSX}

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 open · sign in to claim

4 Citations open

5 Replications open

✓ 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	2026-05-18T00:12:38.023802Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

9b374a336f39ff25d2d25df80ccdb195cd906d9aa26e93f83b145d0e98ec81a0

Aliases

arxiv: 1804.06459 · arxiv_version: 1804.06459v2 · doi: 10.48550/arxiv.1804.06459 · pith_short_12: TM3UUM3PHH7S · pith_short_16: TM3UUM3PHH7SLUWS · pith_short_8: TM3UUM3P

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/TM3UUM3PHH7SLUWSLX4AZTNRSX \
  | 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: 9b374a336f39ff25d2d25df80ccdb195cd906d9aa26e93f83b145d0e98ec81a0

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "4689c8fb702140f193729828f2a5c5e0a4ef1ac10eca4fb6c7e0e0d99f70ec32",
    "cross_cats_sorted": [
      "cs.LG",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2018-04-17T20:04:09Z",
    "title_canon_sha256": "a57a50f7015578f5dbac1b423e9800ac8bf4ebc6edcf83ff3f8f31a2827ff773"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1804.06459",
    "kind": "arxiv",
    "version": 2
  }
}