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Paper Citation Record · LEDGER

Generative Adversarial Reviews: When LLMs Become the Critic

As of 13 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 4 inbound Pith citation observations for arXiv:2412.10415.

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

pith.paper-citation-record.v1
2412.10415 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:57:43.570308Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:16:12.564222Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T05:17:06.411970Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved26
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7bf7c1ee-cccb-4fca-bfc4-b5cc611613c0 · outbound

This paper cites Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation.

Generative Adversarial Reviews: When LLMs Become the Critic Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:43.432928Z digest=sha256:a4c8941f9eec9eddfa420c77f494699f2b42731d820851bfc642031c1a1112ca

Observation 17ec3756-8e33-4453-86c7-318fe5c5a250 · outbound

This paper cites Accessed: 2024-10-25.

Generative Adversarial Reviews: When LLMs Become the Critic Accessed: 2024-10-25

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-11T19:57:44.015950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T19:57:43.442986Z digest=sha256:8e68bb679d4c218c884150298d74498a693c6aa860df5992e8abc51f977b10cd

Observation ec2c31c8-288c-4924-b0d2-7fbab008df24 · outbound

This paper cites LLM-as-a-Judge & Reward Model: What They Can and Cannot Do.

Generative Adversarial Reviews: When LLMs Become the Critic LLM-as-a-Judge & Reward Model: What They Can and Cannot Do

Reference 5

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source=pdf_text observed=2026-08-11T19:57:43.451182Z digest=sha256:3c224ecbf188e27d7a7b2ba5d213affcef1961698622d8808138178c168e4e99

Observation dbd526e8-b619-4588-ba7d-56b8b52d89ef · outbound

This paper cites Longformer: The Long-Document Transformer.

Generative Adversarial Reviews: When LLMs Become the Critic Longformer: The Long-Document Transformer

Reference 7

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source=pdf_text observed=2026-08-11T19:57:43.459918Z digest=sha256:b4463175d786ce98f721aabc9cadd45ab4deb0e9dffa06bd2cbbca07cbf3becc

Observation 803fb350-3e91-419d-bb69-400314a11faf · outbound

This paper cites Can Large Language Models Be an Alternative to Human Evaluations?.

Generative Adversarial Reviews: When LLMs Become the Critic Can Large Language Models Be an Alternative to Human Evaluations?

Reference 10

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source=pdf_text observed=2026-08-11T19:57:43.472128Z digest=sha256:716d3d174a7c607c46e6ca99daeb0c12fa3e312e1708acf85734b1a70de4bd38

Observation 8fac184e-8b94-4e11-817b-0f92d92cda11 · outbound

This paper cites Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.

Generative Adversarial Reviews: When LLMs Become the Critic Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 11

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source=pdf_text observed=2026-08-11T19:57:43.476690Z digest=sha256:62cbb6d1a82d7e0b9db658ec69ae6ebca119cd978dc23891377d00105b7c7eb8

Observation 4fcc2eae-3301-46a2-88cb-da705f53a39d · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Generative Adversarial Reviews: When LLMs Become the Critic From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 12

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source=pdf_text observed=2026-08-11T19:57:43.480739Z digest=sha256:baca223c1b98cafc2eecf89a26808d3f39055cd7e399ce166aaee2b2991e56ac

Observation 3b1d9e86-6b4c-4ecf-ab2c-c95278303ea1 · outbound

This paper cites S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents.

Generative Adversarial Reviews: When LLMs Become the Critic S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents

Reference 13

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no resolver link, observed 2026-08-11T19:57:43.484633Z

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source=pdf_text observed=2026-08-11T19:57:43.484633Z digest=sha256:29e518f9064d6ca9d9d77c1dda72bb98d0a36acef4e23a25e7a8f734b813c547

Observation ef6eb9cd-d183-4d55-b752-855913948e34 · outbound

This paper cites The Llama 3 Herd of Models.

Generative Adversarial Reviews: When LLMs Become the Critic The Llama 3 Herd of Models

Reference 14

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source=pdf_text observed=2026-08-11T19:57:43.489043Z digest=sha256:e48aa7f6f6db026c7878df87726754f69156bb5a6f5548a32d2403a6339018ca

Observation cae3437b-f227-4e37-9354-fef87fe40726 · outbound

This paper cites AgentReview: Exploring Peer Review Dynamics with LLM Agents.

Generative Adversarial Reviews: When LLMs Become the Critic AgentReview: Exploring Peer Review Dynamics with LLM Agents

Reference 15

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source=pdf_text observed=2026-08-11T19:57:43.492834Z digest=sha256:842525498efd86744a8ca575a9f404c8166229da83fee36cffec1276059719d3

Observation 48da829c-9848-44e4-a669-8331a177b6fb · outbound

This paper cites AnglE-optimized Text Embeddings.

Generative Adversarial Reviews: When LLMs Become the Critic AnglE-optimized Text Embeddings

Reference 16

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source=pdf_text observed=2026-08-11T19:57:43.497048Z digest=sha256:b3bc3d2f18d4021648ae907e3c8b8c5305c22ccfbda864c0b55405e89acdff21

Observation 32ad352f-8dd6-4200-a0bb-e6548aca3b79 · outbound

This paper cites Training Socially Aligned Language Models on Simulated Social Interactions.

Generative Adversarial Reviews: When LLMs Become the Critic Training Socially Aligned Language Models on Simulated Social Interactions

Reference 17

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source=pdf_text observed=2026-08-11T19:57:43.501024Z digest=sha256:90a4df2260defb4354cfa75951a73b025683cec833e283c29e77cd2c97b5a483

Observation 2d271b4a-3c8c-409d-bf85-28a0028bfbb2 · outbound

This paper cites Discovering Preference Optimization Algorithms with and for Large Language Models.

Generative Adversarial Reviews: When LLMs Become the Critic Discovering Preference Optimization Algorithms with and for Large Language Models

Reference 18

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source=pdf_text observed=2026-08-11T19:57:43.505017Z digest=sha256:2271a1907611e02a24cfecdc31809995d8239cfd614781082467bc8a12a1f8a5

Observation 14520934-e7fb-4ae3-8bc6-33d8631ee8b6 · outbound

This paper cites GPT-4 Technical Report.

Generative Adversarial Reviews: When LLMs Become the Critic GPT-4 Technical Report

Reference 19

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source=pdf_text observed=2026-08-11T19:57:43.509552Z digest=sha256:fc7a042de2a146941854821bdaaa8a3f4eae185a694c134d92977e1a09dd5ba9

Observation 9fb9b98d-813e-41c0-9e74-52d25c7b5e43 · outbound

This paper cites GPT4 is Slightly Helpful for Peer-Review Assistance: A Pilot Study.

Generative Adversarial Reviews: When LLMs Become the Critic GPT4 is Slightly Helpful for Peer-Review Assistance: A Pilot Study

Reference 20

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source=pdf_text observed=2026-08-11T19:57:43.513263Z digest=sha256:f58db46a25db13798cf93e727a3d5ced28d3d145b102aa1bb6e4bebfce2a2a20

Observation 9ee05915-371e-4bce-94e4-2793e3a8db90 · outbound

This paper cites A Decade of Knowledge Graphs in Natural Language Processing: A Survey.

Generative Adversarial Reviews: When LLMs Become the Critic A Decade of Knowledge Graphs in Natural Language Processing: A Survey

Reference 21

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local_arxiv, observed 2026-08-11T19:57:43.753884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T19:57:43.517373Z digest=sha256:c9e307aa57b549f80ea9981e18b74c69efcba4d4fe71dae7e6a2d7abb0a1bc62

Observation aed829b3-56a3-48a2-af59-79251e6d9965 · outbound

This paper cites Real ml: Recognizing, exploring, and articulating limitations of machine learning research.

Generative Adversarial Reviews: When LLMs Become the Critic Real ml: Recognizing, exploring, and articulating limitations of machine learning research

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-11T19:57:43.975831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T19:57:43.522102Z digest=sha256:ace5b727e39ec3ce24de4c3058b64a4dac8e9a4d954a1e4889fb3be595b88a72

Observation 6f28f86b-0b9d-4bd7-8193-5025ac86f591 · outbound

This paper cites Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System.

Generative Adversarial Reviews: When LLMs Become the Critic Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System

Reference 23

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source=pdf_text observed=2026-08-11T19:57:43.526813Z digest=sha256:134cd1ca49fc03313807481abae37eb8a38b10d1eb67d95ea33bd73c04a881f7

Observation 6c2ad7a6-cdfe-44bb-9565-c128fa03d0ac · outbound

This paper cites Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions.

Generative Adversarial Reviews: When LLMs Become the Critic Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions

Reference 24

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source=pdf_text observed=2026-08-11T19:57:43.531626Z digest=sha256:d48e21d0653608376c71f5e1a6e3952b17b9b13a4ff99aa81fb775ade76fd85e

Observation d59f5011-28bd-4ad3-84ba-285be432a115 · outbound

This paper cites DiGress: Discrete Denoising diffusion for graph generation.

Generative Adversarial Reviews: When LLMs Become the Critic DiGress: Discrete Denoising diffusion for graph generation

Reference 27

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source=pdf_text observed=2026-08-11T19:57:43.544318Z digest=sha256:8eca8c44a72584192d4302da85a02a89ae27e3c5dd3a15c17820074714be0306

Observation f2b5d609-0168-4c87-b30f-9516cc4b7579 · outbound

This paper cites SciMON: Scientific Inspiration Machines Optimized for Novelty.

Generative Adversarial Reviews: When LLMs Become the Critic SciMON: Scientific Inspiration Machines Optimized for Novelty

Reference 28

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source=pdf_text observed=2026-08-11T19:57:43.548352Z digest=sha256:70da778b342825fca32bd8444b3ea5b3d256c2b21d6184da0cecc6701bfad08f

Observation 58032e1d-0b72-4ea0-a511-b4857bd96dbc · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Generative Adversarial Reviews: When LLMs Become the Critic The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 30

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source=pdf_text observed=2026-08-11T19:57:43.557342Z digest=sha256:a62a269b1d6e9fe1ce3e49d3f6600c73b4c770cc34373e928853cd53f9190542

Observation c5d0630f-a634-4aed-8d76-b64e6d7cf10b · outbound

This paper cites Is your paper being re- viewed by an LLM? investigating AI text detectability in peer review.

Generative Adversarial Reviews: When LLMs Become the Critic Is your paper being re- viewed by an LLM? investigating AI text detectability in peer review

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-11T19:57:43.963106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T19:57:43.561755Z digest=sha256:cff304e4612355fdc8fff1babeec7658fd07f4939ff7c5d13382121a2b9788a3

Observation b4d88272-56eb-44fa-bbc4-c6611281252b · outbound

This paper cites Large Language Models for Scientific Synthesis, Inference and Explanation.

Generative Adversarial Reviews: When LLMs Become the Critic Large Language Models for Scientific Synthesis, Inference and Explanation

Reference 32

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source=pdf_text observed=2026-08-11T19:57:43.566063Z digest=sha256:74da2ee8e002510e8a4c9ac65dfc741bceaa212e79ce351e526f4e547c7166af

Observation 1a53577f-6e02-4ca5-9406-85dceb258894 · outbound

This paper cites Can Large Language Models Transform Computational Social Science?.

Generative Adversarial Reviews: When LLMs Become the Critic Can Large Language Models Transform Computational Social Science?

Reference 33

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source=pdf_text observed=2026-08-11T19:57:43.570308Z digest=sha256:e1dbe4a30a892b554a5d1c7a5ce167dc77f4420184c846660184164cdb291219

Observation aa972d14-d0c8-4e4f-9150-a78f13e99649 · outbound

This paper cites Simulating Social Media Using Large Language Models to Evaluate Alternative News Feed Algorithms.

Generative Adversarial Reviews: When LLMs Become the Critic Simulating Social Media Using Large Language Models to Evaluate Alternative News Feed Algorithms

Reference 2017

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source=pdf_text observed=2026-08-11T19:57:43.535820Z digest=sha256:bd9daa06df4aa247ebb05cb732b997fbcb199c509d1c7010cf40059380ee0fc9

Observation 1a2a70cb-7273-40b2-b1b0-f6c8f3662d19 · outbound

This paper cites Anonymous.

Generative Adversarial Reviews: When LLMs Become the Critic Anonymous

Reference 2018

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source=pdf_text observed=2026-08-11T19:57:43.446841Z digest=sha256:b32c20483c2f09682e9129b69d7520345da037ee01e797ebfeaea9a40808007a

Observation 2fcbb12e-4b57-4951-ab5c-7af3508cb179 · outbound

This paper cites AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews.

Generative Adversarial Reviews: When LLMs Become the Critic AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews

Reference 2019

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source=pdf_text observed=2026-08-11T19:57:43.540037Z digest=sha256:25b0dd8a87b21127b4f94d6608da518b1733786bc86ac0a5f35ceedf44d22cf7

Observation 84c7d666-a7a0-4eca-b2c4-17e327a92bac · outbound

This paper cites The neurips 2021 consistency experiment,.

Generative Adversarial Reviews: When LLMs Become the Critic The neurips 2021 consistency experiment,

Reference 2020

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verified fuzzy
raw_fallback, observed 2026-08-11T19:57:44.003778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T19:57:43.464176Z digest=sha256:df397996f6babe1410e78d515cb3596c221fe9fde59289f626939155d6deaf40

Observation 4c38e029-185d-4bc9-a827-3620f3832fd6 · outbound

This paper cites Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan, and Michelle Bao.

Generative Adversarial Reviews: When LLMs Become the Critic Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan, and Michelle Bao

Reference 2021

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verified fuzzy
raw_fallback, observed 2026-08-11T19:57:43.989609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T19:57:43.468052Z digest=sha256:b42f207b0b482bbd53a0bb87d3d8e22d20204f378e858655d936cc7c726512a1

Observation 7f184e76-75ba-4f6a-880e-a0d7936e3a71 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Generative Adversarial Reviews: When LLMs Become the Critic AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 2022

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source=pdf_text observed=2026-08-11T19:57:43.552936Z digest=sha256:c36ee1a2230c07785ede24a7f357500219f967df096c3585097a65a4e35bb20b

Observation c65fff43-b415-43fa-be27-7f60535f00c5 · outbound

This paper cites ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models.

Generative Adversarial Reviews: When LLMs Become the Critic ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

Reference 2023

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source=pdf_text observed=2026-08-11T19:57:43.455382Z digest=sha256:560a1466fe3652036d8aafa4d618447a567452ce859c5cdc04511adbffbc3afd

Observation de47089a-9995-4114-a702-ecacfe2831d3 · outbound

This paper cites Playing repeated games with Large Language Models.

Generative Adversarial Reviews: When LLMs Become the Critic Playing repeated games with Large Language Models

Reference 2024

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source=pdf_text observed=2026-08-11T19:57:43.438056Z digest=sha256:56e2e5f8efcc14dc46e70f7cc53e1d3c41c6aa3b769d8c84d3d3761bab311312

Pith citing papers

Observation 9c494b58-13f1-464c-9190-03a94830a085 · inbound

Large language models for automated scholarly paper review: A survey cites this paper.

Large language models for automated scholarly paper review: A survey Generative Adversarial Reviews: When LLMs Become the Critic

Reference 12

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source=arxiv_source observed=2026-08-10T19:16:12.564222Z digest=sha256:93b90e285a5ca699179c2946f522bd739f50e69b6174e0bbf35cfe408180a1c9

Observation 6159d647-7105-4d7c-8b40-62d7266365b7 · inbound

CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulation cites this paper.

CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulation Generative Adversarial Reviews: When LLMs Become the Critic

Reference 1

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no resolver link, observed 2026-08-06T22:22:39.525834Z

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source=arxiv_source observed=2026-08-06T22:22:39.525834Z digest=sha256:0084222c2f76fd2cf7b82dbc5b3ae11ad12de0287404e776ba59281dcd7d7e3d

Observation ba483e3f-61eb-4e10-9ff1-cd376ec7fb2d · inbound

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator cites this paper.

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator Generative Adversarial Reviews: When LLMs Become the Critic

Reference 12

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verified exact
arxiv_id, observed 2026-05-19T05:17:06.414238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T05:15:49.513101Z digest=sha256:e8213c3ec179c30f242a7d9909576a28fafa8384be433aac41ca18edd890c694

Observation a90a08ad-ee2f-4fab-bb58-3462b974c27f · inbound

When Roles Fail: Epistemic Constraints on Advocate Role Fidelity in LLM-Based Political Statement Analysis cites this paper.

When Roles Fail: Epistemic Constraints on Advocate Role Fidelity in LLM-Based Political Statement Analysis Generative Adversarial Reviews: When LLMs Become the Critic

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arxiv_id, observed 2026-05-12T09:56:26.636179Z

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source=pdf_text observed=2026-05-07T08:52:10.092292Z digest=sha256:7f481e7f7207c25f22ad275375a5f76e2af4a211cda8febd558acc805230f0f9