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Paper Citation Record · LEDGER

Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2407.19594.

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

pith.paper-citation-record.v1
2407.19594 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:51:18.672843Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ca078fb9-faad-404f-8986-e3a52e6b7170 · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 254

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arxiv_id, observed 2026-05-11T23:08:35.709019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T23:08:34.312466Z digest=sha256:6852e8ed07aef1802c239b9a583c241d554e330bbf6a516d133dbe53003db5fa

Observation 9e28c132-3a02-448e-aa9b-d43b8ed73fba · inbound

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models cites this paper.

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 38

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source=arxiv_source observed=2026-08-11T14:51:18.672843Z digest=sha256:760c3cbf6479b05b2cb86c097308b3f80e7efa78d56775aedde020294922539b

Observation d608f93c-3fba-469e-9bb9-0624d9cb545f · inbound

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models cites this paper.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 44

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no resolver link, observed 2026-08-11T05:32:16.631622Z

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source=arxiv_source observed=2026-08-11T05:32:16.631622Z digest=sha256:fd6d50babff1a50eeecea9a196cf8b39df57cd69e40ae6d2a3fd667b31dbe86c

Observation da1a3f2d-7404-4d69-9440-7f2a80bda8fb · inbound

M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation cites this paper.

M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 39

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no resolver link, observed 2026-08-10T23:37:32.114605Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:37:32.114605Z digest=sha256:ab020e341e8e0b46023b62ce975c8ef10f3692968f86ac67ef7fa90f1be71d0b

Observation 1d3e5a2d-2572-493a-8087-6c71dbadafcb · inbound

R.I.P.: Better Models by Survival of the Fittest Prompts cites this paper.

R.I.P.: Better Models by Survival of the Fittest Prompts Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 37

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no resolver link, observed 2026-08-09T23:02:23.436936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T23:02:23.436936Z digest=sha256:e7fd553b16e278a0bd5258e3deac7457b269468fd4c6e560bfe4ab70c0f68b8e

Observation 52402e35-8588-418a-9cd3-f34ca807c882 · inbound

LIMO: Less is More for Reasoning cites this paper.

LIMO: Less is More for Reasoning Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 36

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verified exact
arxiv_id, observed 2026-05-17T02:11:37.211488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-17T02:11:36.932541Z digest=sha256:0440143e1babf8858edd8c5d5b49f830374dcd4651cb3b9d8edb99f68b81b738

Observation 45ba3edd-7f76-45ac-9694-d4a798e03727 · inbound

Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models cites this paper.

Self-Consistency of the Internal Reward Models Improves Self-Rewarding Language Models Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 44

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no resolver link, observed 2026-08-07T23:18:40.227467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:18:40.227467Z digest=sha256:63b33012f53e813dbce07a3c44e31955185f9b6c9936f8303f54a49c89455f15

Observation 84ed587f-2345-4098-8b28-592c52a1dbb8 · inbound

Reward Reasoning Model cites this paper.

Reward Reasoning Model Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 70

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no resolver link, observed 2026-08-07T15:34:53.003907Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:34:53.003907Z digest=sha256:6aefad531cbc32cbac2bbfee50d1f7fbf69ef1437fedd7ac7f182db24f792ab1

Observation f60556ac-df75-4b36-bca0-634d49709598 · inbound

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers cites this paper.

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 89

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no resolver link, observed 2026-08-07T14:05:20.983397Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:05:20.983397Z digest=sha256:8458b7d129367ab533884634ded3d0ea4a01ac12ce1950d65ea52ffeb23eae2d

Observation a01fedc5-c6b4-4bc9-9208-1279ac3466e3 · inbound

Arbiters of Ambivalence: Challenges of Using LLMs in No-Consensus Tasks cites this paper.

Arbiters of Ambivalence: Challenges of Using LLMs in No-Consensus Tasks Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 2018

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no resolver link, observed 2026-08-07T13:23:51.799718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:23:51.799718Z digest=sha256:dc70cdd8e596c5c4e25b72fc3bb0e6ab7f071fd1f15a4af65ec3cabc3c72f426

Observation 5c91b95a-4b68-441d-9198-df6418d1d8a5 · inbound

LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification cites this paper.

LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 54

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no resolver link, observed 2026-08-07T11:48:04.284134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:48:04.284134Z digest=sha256:e94e3f33e235f7c8fe17d54e8aa5a2aa4664ef2cd5626b05cd162ec3a6f78037

Observation e66676d5-37b4-4900-9a0c-5c695b23be66 · inbound

Beyond the Surface: Measuring Self-Preference in LLM Judgments cites this paper.

Beyond the Surface: Measuring Self-Preference in LLM Judgments Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 48

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no resolver link, observed 2026-08-07T11:26:06.652545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:26:06.652545Z digest=sha256:1d69ff186f4ed783f4b5a4c5f4a66ebbdaa26f66be4e32a3076b590fc9b3dac4

Observation 922c3bed-baff-4497-b9b8-297001d79be1 · inbound

Unlocking Recursive Thinking of LLMs: Alignment via Refinement cites this paper.

Unlocking Recursive Thinking of LLMs: Alignment via Refinement Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 46

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no resolver link, observed 2026-08-07T06:07:02.109745Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:07:02.109745Z digest=sha256:75e4e728462dd596999beabc483e3a6c27693ad62b74646fb86c35c02cac57a1

Observation f95238b0-b2d5-466b-9e29-bdafb150f4d8 · inbound

Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models cites this paper.

Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 4

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no resolver link, observed 2026-08-07T05:11:49.730548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:11:49.730548Z digest=sha256:4745f5d69cc96ec5dbceb2072df7f76b4068468b0ac6f502052c8ae1e05457cc

Observation 1fef196a-87d2-4433-a6a7-37af59368ef7 · inbound

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning cites this paper.

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 48

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no resolver link, observed 2026-08-07T05:09:45.585513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:09:45.585513Z digest=sha256:11c74c3bc9b9dbc488236decc442fe3f3100b9c0659845228c630d1a9d1afb4c

Observation 420db723-0bf7-4c3b-83a8-1b5f407f5672 · inbound

PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier cites this paper.

PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 46

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no resolver link, observed 2026-08-07T04:39:37.395043Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:37.395043Z digest=sha256:d120f179bb3d02fa32bf2ea95e6c7859f4bfd360edc1be60cf64f3865bf1f6f5

Observation 95be38fa-aece-4e88-8109-e4c96cdb5f47 · inbound

From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation cites this paper.

From General to Targeted Rewards: Surpassing GPT-4 in Open-Ended Long-Context Generation Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 54

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no resolver link, observed 2026-08-06T23:49:47.916012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:49:47.916012Z digest=sha256:61ef481abd496c1786559c4a857b4f2a943b1e889347108c7c7b70229655b882

Observation c95bc744-5fe4-4afd-8009-e645732914b9 · inbound

Enterprise Large Language Model Evaluation Benchmark cites this paper.

Enterprise Large Language Model Evaluation Benchmark Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 40

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no resolver link, observed 2026-08-06T22:56:33.549019Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:56:33.549019Z digest=sha256:bbf5845daf28d863a0a3d88eb2e27e48c29aae36c336af1266a6f47e24365b4d

Observation baeaa4fb-5bd9-4b9f-84da-61c5d5ffab84 · inbound

Bridging Offline and Online Reinforcement Learning for LLMs cites this paper.

Bridging Offline and Online Reinforcement Learning for LLMs Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 46

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no resolver link, observed 2026-08-06T22:28:09.310079Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:28:09.310079Z digest=sha256:83e7c5d6812db8901407573929d7526695c6326a4120f747fbd25d95fcf247f7

Observation bfd9e083-b3fe-4b12-94e5-8e64088cc42f · inbound

Revisiting Active Learning under (Human) Label Variation cites this paper.

Revisiting Active Learning under (Human) Label Variation Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 65

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no resolver link, observed 2026-08-06T20:29:54.062777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:29:54.062777Z digest=sha256:959e3b58f010dbe5b73d71b926eb6191cac24926593d436535df5abf76fe7460

Observation 5cf96810-b462-4a32-874d-ae31e45beba5 · inbound

SGPO: Self-Generated Preference Optimization based on Self-Improver cites this paper.

SGPO: Self-Generated Preference Optimization based on Self-Improver Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 29

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no resolver link, observed 2026-08-06T13:49:12.374832Z

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source=pdf_text observed=2026-08-06T13:49:12.374832Z digest=sha256:485ee3a3f08491c7e12a92cf411b20b6a984eeb45a622bbcdb620d85177ed30c

Observation c7ec67a3-c7ed-4663-9d70-ceb9de936158 · inbound

Multilingual Self-Taught Faithfulness Evaluators cites this paper.

Multilingual Self-Taught Faithfulness Evaluators Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 34

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no resolver link, observed 2026-08-06T13:22:25.167291Z

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source=arxiv_source observed=2026-08-06T13:22:25.167291Z digest=sha256:49e370426fbfe81257211de5a074c445ed88960fe81b3cbf8700333026dd2c56

Observation 71b2bf67-f471-482f-ba00-5427082fa2ee · inbound

Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future cites this paper.

Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 33

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:06:49.698152Z digest=sha256:c1b5cddc84f0030399b8cc5a138e65565d4ca04868de547fd9d69f490c3f9995

Observation c4ab6dcc-ad00-4bb4-8283-79b3df2fef12 · inbound

Overconfidence in LLM-as-a-Judge: Diagnosis and Confidence-Driven Solution cites this paper.

Overconfidence in LLM-as-a-Judge: Diagnosis and Confidence-Driven Solution Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 24

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no resolver link, observed 2026-08-05T22:54:25.666027Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:54:25.666027Z digest=sha256:5f7c05ac073865e632a8bccd345eb8d4940137f78d12c526eaff8857dd03f67f

Observation 388d9b6e-b63c-45f9-90f4-387e4da831d4 · inbound

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process cites this paper.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 52

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metadata mismatch
arxiv_id, observed 2026-05-16T19:58:22.687864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-16T19:57:03.999154Z digest=sha256:b834985347c1f02ee43532c164445d0b8f9b34b50bbe1c5cb0c691266459ea8e

Observation 03b422e5-c77a-4319-b3bd-13d999609f2d · inbound

Can LLMs Learn to Reason Robustly under Noisy Supervision? cites this paper.

Can LLMs Learn to Reason Robustly under Noisy Supervision? Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 26

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arxiv_id, observed 2026-05-13T17:08:01.288616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T16:58:42.129870Z digest=sha256:cc849f8901e83b5fa636d4b060ee6b894ec2b26d7dd5e082db3d78de59e187d0

Observation fcf5096a-b107-46f8-ab63-0b466d348d59 · inbound

Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity cites this paper.

Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 30

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verified exact
arxiv_id, observed 2026-05-11T19:31:09.407696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-08T11:45:54.181019Z digest=sha256:c42efc09072b6686b434a5b5497710f198808ef16f18dac697ea5cf7cf5b3bec

Observation 8da6dbac-c112-4210-853b-3ca4df8d9d87 · inbound

Weak Critics Make Strong Learners: On-Policy Critique Distillation for Scalable Oversight cites this paper.

Weak Critics Make Strong Learners: On-Policy Critique Distillation for Scalable Oversight Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 21

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metadata mismatch
arxiv_id, observed 2026-07-01T19:56:10.972571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T21:55:58.645062Z digest=sha256:39a4c7e1bcb454db71f9067b73bfe7ffb7b15730ee782ef5e3648f13f0dc7f36

Observation 3efc4b0a-cf2d-4b52-9170-587accd10d67 · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 76

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arxiv_id, observed 2026-07-01T20:56:13.295277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T17:38:50.313305Z digest=sha256:844a38b4878d3ef79fb1985a7507471c7c1c00e22b1c93ebbe3096e82d513e9a

Observation 2f98913a-87b1-4de3-8e53-0b135e21af01 · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 264

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arxiv_id, observed 2026-07-03T05:57:41.551756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-27T12:59:51.091008Z digest=sha256:fcd646a76201bfe2b12e1c901e4ca0c82d1aec23f832c64923dfa7ba6fac0258

Observation 103da097-1211-4c59-961f-d31d121ebf1d · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 218

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arxiv_id, observed 2026-07-04T09:59:44.789963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-26T09:19:50.623741Z digest=sha256:2af8a19809ba3faabb9ab1ce5d4313d45572c20cccb67030766f803644a22660

Observation 99a6daa6-1d24-418e-b7ff-d2b1e72ebef6 · inbound

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 217

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arxiv_id, observed 2026-07-01T18:55:59.731218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-29T01:18:19.195007Z digest=sha256:46fa6b2e182e82b82ed7bd35c940c015842706c689b59a3c176f84930677fe12