Pith Number

pith:XPM3SDEE

pith:2024:XPM3SDEEKCQWY44JLNQ7JW26U5

not attested not anchored not stored refs pending

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL

Adrien Ali Ta\"iga, Aleksandra Faust, Alex Irpan, Aviral Kumar, Jesse Farebrother, Jordi Orbay, Pablo Samuel Castro, Quan Vuong, Rishabh Agarwal, Sergey Levine, Ted Xiao, Yevgen Chebotar

arxiv:2403.03950 v1 · 2024-03-06 · cs.LG · cs.AI · 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{XPM3SDEEKCQWY44JLNQ7JW26U5}

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.

Cited by

16 papers in Pith

World Value Models for Robotic Manipulation

Superhuman AI for Generals.io Using Self-Play Reinforcement Learning

Direct Advantage Estimation for Scalable and Sample-efficient Deep Reinforcement Learning

WARP-RM: A Warp-Augmented Relative Progress Reward Model for Data Curation

Survival Reinforcement Learning: Toward Scalable Self-Supervised RL

Receipt and verification

First computed	2026-07-05T07:53:03.969870Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

bbd9b90c8450a16c73895b61f4db5ea74eb659870166f9b4124f36bfd778de4b

Aliases

arxiv: 2403.03950 · arxiv_version: 2403.03950v1 · doi: 10.48550/arxiv.2403.03950 · pith_short_12: XPM3SDEEKCQW · pith_short_16: XPM3SDEEKCQWY44J · pith_short_8: XPM3SDEE

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/XPM3SDEEKCQWY44JLNQ7JW26U5 \
  | 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: bbd9b90c8450a16c73895b61f4db5ea74eb659870166f9b4124f36bfd778de4b

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "e50147a7ce73aae50d8a66ca3b6455e121ecab9f281ceca0f81383aae8de3085",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-03-06T18:55:47Z",
    "title_canon_sha256": "a88da0c353e77a2275c00a4cc1c7c7c7c1db1bca18e72dae5539d8760949cca9"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2403.03950",
    "kind": "arxiv",
    "version": 1
  }
}