Pith Number

pith:5TOP3QL7

pith:2025:5TOP3QL74RXK76JBTNLPE77PDN

not attested not anchored not stored refs pending

ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning

Hanjing Wang, Jun Wang, Linyi Yang, Mark Schmidt, Shuyue Hu, Weinan Zhang, Xiaoyu Wen, Yan Song, Ying Wen, Yunxiang Li, Ziyu Wan

arxiv:2503.09501 v3 · 2025-03-12 · cs.AI · cs.CL · cs.LG · cs.MA

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{5TOP3QL74RXK76JBTNLPE77PDN}

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

9 papers in Pith

Where Do CoT Training Gains Land in LLM based Agents?

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Memory-R2: Fair Credit Assignment for Long-Horizon Memory-Augmented LLM Agents

Implicit Hierarchical GRPO: Decoupling Tool Invocation from Execution for Tool-Integrated Mathematical Reasoning

AIPO: Learning to Reason from Active Interaction

Receipt and verification

First computed	2026-07-05T11:10:06.361246Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

ecdcfdc17fe46eaff9219b56f27fef1b4e1fec7faffec222d9be669b498f40fd

Aliases

arxiv: 2503.09501 · arxiv_version: 2503.09501v3 · doi: 10.48550/arxiv.2503.09501 · pith_short_12: 5TOP3QL74RXK · pith_short_16: 5TOP3QL74RXK76JB · pith_short_8: 5TOP3QL7

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/5TOP3QL74RXK76JBTNLPE77PDN \
  | 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: ecdcfdc17fe46eaff9219b56f27fef1b4e1fec7faffec222d9be669b498f40fd

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "c8e09b324596917b2d8f95786197dd905ff11d31e71c6d83bfef9ea73321f458",
    "cross_cats_sorted": [
      "cs.CL",
      "cs.LG",
      "cs.MA"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2025-03-12T16:05:31Z",
    "title_canon_sha256": "b7c0eba3a40500deb0e28334be45be2db8924fe1bbf551e87d8e9ca1d67e294c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2503.09501",
    "kind": "arxiv",
    "version": 3
  }
}