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Paper Citation Record · LEDGER

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models

As of 4 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.18006.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.18006 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:27:59.369199Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved32
  • parse uncertain3
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f11a536-74f8-4725-aecc-df04d89b869c · outbound

This paper cites Training language models to reason efficiently , url =.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Training language models to reason efficiently , url =

Reference 1

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source=arxiv_source observed=2026-08-01T16:27:55.403950Z digest=sha256:116d35d50c9b4e83147524c41d40376b94b4b07705fa0bd296fe203a9abe57b2

Observation e879c3e6-9204-4e84-8e3a-e9153cfd1c97 · outbound

This paper cites an unresolved cited work.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Unresolved cited work

Reference 2

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source=arxiv_source observed=2026-08-01T16:27:55.507433Z digest=sha256:f149e37928c95699770b171c357df46531948e4b76c3c85b2bf80fc5024b4a77

Observation 2537a7cf-e35f-4445-baef-594c86e7bbef · outbound

This paper cites An empirical study on eliciting and improving.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models An empirical study on eliciting and improving

Reference 3

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source=arxiv_source observed=2026-08-01T16:27:55.701447Z digest=sha256:ac4ebce49b8bd8c0d09bd2c9e78da6ef86e25779ee144938ee693c770d739d70

Observation aa65e37e-90d0-4960-bce0-c2a44cb976bd · outbound

This paper cites Christiano and Jan Leike and Tom B.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Christiano and Jan Leike and Tom B

Reference 4

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source=arxiv_source observed=2026-08-01T16:27:55.863790Z digest=sha256:08a459d2935f8b66738865e4979d32cbf07d62067eb3a5f4e8a75e0532c71778

Observation ee983df6-3c37-411f-8685-9488804ea4f2 · outbound

This paper cites Process reinforcement through implicit rewards , url =.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Process reinforcement through implicit rewards , url =

Reference 5

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source=arxiv_source observed=2026-08-01T16:27:56.122478Z digest=sha256:f0512ab14f45191e5ad3654b5dc9636e75f910ab77e7a7f7312fbf2ae3981a25

Observation 53b21f1a-c083-4c01-9aa9-bd0c14aaca8f · outbound

This paper cites Reinforcement learning for reasoning in small.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Reinforcement learning for reasoning in small

Reference 6

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source=arxiv_source observed=2026-08-01T16:27:56.294786Z digest=sha256:9d7453ab972e2139c1ca984c225ce865b9415f8e0e405270345952a52b1308cf

Observation 39fc7620-3b95-40d1-8514-9197a9bc0d27 · outbound

This paper cites an unresolved cited work.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Unresolved cited work

Reference 7

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source=arxiv_source observed=2026-08-01T16:27:56.446088Z digest=sha256:dfa6a697966cd7ef6f1659fa5163625a0443914b7cb86c4cc4e19e26512f4e0c

Observation c0b6a909-68f7-4f7f-a4bf-6a40bba1ed7e · outbound

This paper cites Tenenbaum and Igor Mordatch , journal =.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Tenenbaum and Igor Mordatch , journal =

Reference 8

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source=arxiv_source observed=2026-08-01T16:27:56.620218Z digest=sha256:9960b03df69bd8307175644afc5b2e79483a0ad1475a719f219a1cbafee3206c

Observation 9a08082a-1d71-435d-b5b7-7bbdd4f70fac · outbound

This paper cites Rae and Laurent Sifre , journal =.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Rae and Laurent Sifre , journal =

Reference 9

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source=arxiv_source observed=2026-08-01T16:27:56.779095Z digest=sha256:b1845413193a42d1ff014aab7678ea7ec61f9a91966ee5ab96ff73c15c69f8aa

Observation 3fe24059-8875-4d9a-8597-c13ca83c4bf6 · outbound

This paper cites Hu and Yelong Shen and Phillip Wallis and Zeyuan Allen-Zhu and Yuanzhi Li and Shean Wang and Lu Wang and Weizhu Chen , journal =.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Hu and Yelong Shen and Phillip Wallis and Zeyuan Allen-Zhu and Yuanzhi Li and Shean Wang and Lu Wang and Weizhu Chen , journal =

Reference 10

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source=arxiv_source observed=2026-08-01T16:27:56.948605Z digest=sha256:c818b1b119d1313ee5a60a4c90ce4c7e3107ec5b3031cc566aeecbe6570e5b04

Observation e268f8d0-5925-4ee2-8167-70bd29029657 · outbound

This paper cites Aligning language models with offline learning from human feedback , url =.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Aligning language models with offline learning from human feedback , url =

Reference 11

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Observation 202b353d-1000-4bf1-b2a5-d6aa9583e2fb · outbound

This paper cites an unresolved cited work.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Unresolved cited work

Reference 12

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source=arxiv_source observed=2026-08-01T16:27:57.194081Z digest=sha256:cbebdb28970b1ed68d32744ea0f762441ec65ff0aa4eef0bdd6ad87dcef0a40e

Observation 99abe00c-f04c-4391-9b7f-8baba8c55339 · outbound

This paper cites an unresolved cited work.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Unresolved cited work

Reference 13

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source=arxiv_source observed=2026-08-01T16:27:57.257497Z digest=sha256:43e55ecd6151b48f7a8a0bbfe0301dbb64388d7b1fdce1ed86fa0b68a6a0eb90

Observation d346f2a6-2c46-485a-8bae-4b4b6ecd79c2 · outbound

This paper cites Encouraging divergent thinking in large language models through multi-agent debate , url =.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Encouraging divergent thinking in large language models through multi-agent debate , url =

Reference 14

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source=arxiv_source observed=2026-08-01T16:27:57.310241Z digest=sha256:d67a7782872891b93e0045c6b4f8d0e7709afbc75da5cb14d62b92463073296e

Observation 789a0f5d-c0dd-4837-a158-1c208722b1c5 · outbound

This paper cites an unresolved cited work.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Unresolved cited work

Reference 15

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source=arxiv_source observed=2026-08-01T16:27:57.393564Z digest=sha256:aaccdd6095dd8a2b958ef39d0b7464f648776400649a1d26081b6527799aed3f

Observation 681c953c-df0d-48af-8e5e-d81c6268cded · outbound

This paper cites Let's verify step by step , url =.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Let's verify step by step , url =

Reference 16

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Observation b7b58bcd-32d2-4ae1-8b72-bac85c1fd75a · outbound

This paper cites an unresolved cited work.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-08-01T16:27:57.448973Z digest=sha256:183e5742ba6b400629be4acea35777d8e9371e0f270e0ef954a98dff616f6e8d

Observation 8d583203-0413-43ad-90bf-bc7f55f3baf8 · outbound

This paper cites Decoupled weight decay regularization , url =.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Decoupled weight decay regularization , url =

Reference 18

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Observation db91a171-d5ef-44c3-8d85-b9c703139881 · outbound

This paper cites Tang and Manan Roongta and Colin Cai and Jeffrey Luo and Li Erran Li and Raluca Ada Popa and Ion Stoica , note =.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Tang and Manan Roongta and Colin Cai and Jeffrey Luo and Li Erran Li and Raluca Ada Popa and Ion Stoica , note =

Reference 19

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source=arxiv_source observed=2026-08-01T16:27:57.567065Z digest=sha256:5679f033fd21d1e9847db738f5253c18a0756994d1e9eae185e58cd979bcf2f9

Observation 661d5186-70ea-4bd4-b432-869bd540527d · outbound

This paper cites an unresolved cited work.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Unresolved cited work

Reference 20

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Observation c518ff40-7516-4c96-9051-46ee4fd284c9 · outbound

This paper cites an unresolved cited work.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Unresolved cited work

Reference 21

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Observation deaed43f-98b8-4a3f-9a69-5dc13f9cc25f · outbound

This paper cites an unresolved cited work.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Unresolved cited work

Reference 22

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source=arxiv_source observed=2026-08-01T16:27:57.948759Z digest=sha256:12e91a134863aa924c7536dbc9d0cc271cce343002d4cb802cecff89b4e63c0f

Observation 1e02256b-6be4-48c7-a571-151db92e06ee · outbound

This paper cites an unresolved cited work.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Unresolved cited work

Reference 23

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Observation e4ae42e5-d29d-4bed-8c53-30aa88025b15 · outbound

This paper cites an unresolved cited work.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-08-01T16:27:58.237817Z digest=sha256:b92f1b752d3df52b63297d3d883e4811308c7f2800d5ed2ae1cf4424fc9724fe

Observation 1be8d935-5523-4508-9678-d1c292aa7113 · outbound

This paper cites an unresolved cited work.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Unresolved cited work

Reference 25

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Observation 20557ec1-8d05-425a-91e8-17c0fd7219c6 · outbound

This paper cites Tenenbaum and Antonio Torralba and Shuang Li and Igor Mordatch , journal =.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Tenenbaum and Antonio Torralba and Shuang Li and Igor Mordatch , journal =

Reference 26

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source=arxiv_source observed=2026-08-01T16:27:58.510618Z digest=sha256:971e7928a154bced9bcfce4a728d08e6286c4b4d57a425e88f7cacb807ffec41

Observation 1db38d7b-e75b-4524-85dd-aef9b38528a9 · outbound

This paper cites Offline Reinforcement Learning for.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Offline Reinforcement Learning for

Reference 27

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source=arxiv_source observed=2026-08-01T16:27:58.615158Z digest=sha256:e833fbbbe2f3471ce43a2a1503faceaec7222b87e13389a918e032dc6ea6135b

Observation 146ef1e4-0700-4636-a7d6-274c49a32241 · outbound

This paper cites Tina: Tiny reasoning models via.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Tina: Tiny reasoning models via

Reference 28

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source=arxiv_source observed=2026-08-01T16:27:58.726551Z digest=sha256:13a058994e88deb614d64d3495e4c4c93d26f1cb80d241bd964c911085b4110f

Observation 3b57f0a6-b9fe-4f06-a3e7-d2082c230624 · outbound

This paper cites Le and Ed H.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Le and Ed H

Reference 29

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Observation 3d919d21-9b24-4900-a6ed-ab7eeb8ecfb1 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models , url =.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Chain-of-thought prompting elicits reasoning in large language models , url =

Reference 30

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source=arxiv_source observed=2026-08-01T16:27:58.908730Z digest=sha256:9912e484bdf663bebfdfbf7341bea378e84af40fa15e943e77fa54a03a6ee208

Observation 3a0a30a4-3ebd-4b1d-b273-55298ba667df · outbound

This paper cites Towards large reasoning models: A survey of reinforced reasoning with large language models , url =.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Towards large reasoning models: A survey of reinforced reasoning with large language models , url =

Reference 31

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source=arxiv_source observed=2026-08-01T16:27:59.030312Z digest=sha256:fbfdb919722e5fa3ae383f2a8b8469108c12e09c8f282ff63ed18c5224d6a5be

Observation 8c7e0609-fc24-44d9-8922-c7190dd919bb · outbound

This paper cites Griffiths and Yuan Cao and Karthik Narasimhan , journal =.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Griffiths and Yuan Cao and Karthik Narasimhan , journal =

Reference 32

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source=arxiv_source observed=2026-08-01T16:27:59.138476Z digest=sha256:2c5a8bdbe553ca3a5673f881575a88463a1401eb7dcd69ef84b619d723a62c4c

Observation 2a060402-f705-4c0f-9927-df78b2e64e89 · outbound

This paper cites an unresolved cited work.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Unresolved cited work

Reference 33

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source=arxiv_source observed=2026-08-01T16:27:59.245988Z digest=sha256:75b47dcc189360361354fd2da3d3ce874ae09485e71684e1434a3b086aa4dc46

Observation 249b5484-1bd8-4b5b-82b3-d547fac87604 · outbound

This paper cites What's behind.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models What's behind

Reference 34

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source=arxiv_source observed=2026-08-01T16:27:59.351582Z digest=sha256:b2ece2ddd2600de81bd0de284fa5008bf0a867cffa942b9851f439b581ba28ab

Observation 7fccc60f-d235-469d-a747-7396aedca89a · outbound

This paper cites an unresolved cited work.

MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models Unresolved cited work

Reference 35

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Pith citing papers

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