Pith Number

pith:GXYV33CP

pith:2026:GXYV33CP3WLSJUDTJQHV5Z7S5M

not attested not anchored not stored refs resolved

AIPO: Learning to Reason from Active Interaction

Gholamreza Haffari, Junnan Liu, Linhao Luo, Thuy-Trang Vu

AIPO enables language models to expand their reasoning boundaries by actively consulting specialized agents at training bottlenecks.

arxiv:2605.08401 v2 · 2026-05-08 · cs.CL · cs.AI

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Claims

C1strongest claim

AIPO enables the policy model to proactively consult three functional collaborative agents, Verify Agent, Knowledge Agent, and Reasoning Agent, when encountering reasoning bottlenecks, thereby receiving fine-grained and targeted guidance to actively expand its capability boundary during training.

C2weakest assumption

The tailored importance sampling coefficient together with the clipping strategy successfully mitigates off-policy bias and gradient vanishing when the policy learns from agent-provided feedback, allowing genuine capability expansion rather than mere fitting to the helpers.

C3one line summary

AIPO adds active multi-agent consultation (Verify, Knowledge, Reasoning agents) plus custom importance sampling to RLVR training so LLMs expand their reasoning boundary and then operate without the agents.

References

81 extracted · 81 resolved · 32 Pith anchors

[1] Back to basics: Revisiting reinforce-style optimization for learning from human feedback in llms 2024

[2] Program Synthesis with Large Language Models 2021 · arXiv:2108.07732

[3] Russak, Kiran Kamble, Dmytro Mozolevskyi, Muayad Ali, and Waseem Alshikh 2025

[4] Introduction to techniques used in seed1.6 2025

[5] Nudging the boundaries of LLM reasoning 2025

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:00:41.486891Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

35f15dec4fdd9724d0734c0f5ee7f2eb277f15d89d215ea70a5482db5467a584

Aliases

arxiv: 2605.08401 · arxiv_version: 2605.08401v2 · doi: 10.48550/arxiv.2605.08401 · pith_short_12: GXYV33CP3WLS · pith_short_16: GXYV33CP3WLSJUDT · pith_short_8: GXYV33CP

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/GXYV33CP3WLSJUDTJQHV5Z7S5M \
  | 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: 35f15dec4fdd9724d0734c0f5ee7f2eb277f15d89d215ea70a5482db5467a584

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "76e9db701783dbdee47e4096b942e5789f51920c80c0140b7fc34530d5382376",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-05-08T19:06:55Z",
    "title_canon_sha256": "0562d7d60a487fad76be6c1a04bd820e202ef5272e747b1b1e80137b6492e23c"
  },
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  "source": {
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    "kind": "arxiv",
    "version": 2
  }
}