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Paper Citation Record · LEDGER

Generative Adversarial Reviews: When LLMs Become the Critic

As of 15 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 2026-08-14T06:32:32.682623+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:d42d0fd089a27666e1ee0fa14fb314fa017e82b3062ad98e68d9f5b76a5cebaf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:57:43.442986Z digest=sha256:e0284e35edd04b8b2f506679351fd95a8d83ba9a243079acbe6bc6dbc6ccca19

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-reported events for the cited work

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source=pdf_text observed=2026-08-11T19:57:43.451182Z digest=sha256:d43d95b49e69e8f8265cb4d73b6f624368e8a58f1fd887bd9f51413fce21a67e

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:43.459918Z digest=sha256:a944de6dc8229bb30dd30fc6b3726f7622b87e155138a60d4209707860081224

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=sha256:9f26660c08ec3a6f21549b7ebd2e92450171fe55e0cdebf4201b8396523f987d

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:43.476690Z digest=sha256:af08f38fa6986d12a93d1af1ff6e0acf5690eeb03c4c17fd605c59d6c7448306

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=sha256:4bd628a7a85efdd7b9aa00ab641a669a543e028251a4396b5379baa3559debc1

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:43.484633Z digest=sha256:e85d91aafdd1506e2dfb0650d452bd66225e31e13a535d852c267309223528db

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:43.489043Z digest=sha256:e62fbc557bd31f8cf9ea3a80f29c68ed224d307e93dfc18569cedb4288b372d7

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:43.492834Z digest=sha256:c511a4eac26b399d7e8a9e9c3f58ed5071ac31f2d3d58acfa7882d770d4685ff

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:43.497048Z digest=sha256:5b2e2fb35f702502a33231fff7387f7350bfb0d5d6939ef20d802d1009a51f07

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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no resolver link, observed 2026-08-11T19:57:43.501024Z

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source=pdf_text observed=2026-08-11T19:57:43.501024Z digest=sha256:efacf201d5879c0f887d5078ac0ac944d5c5e27b0860ec397bc9938e7bdc73c5

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:b65cea44a45943bcc2229f3aada8fc3aeec6cacde6fa1e319d637a54f7050564

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=sha256:9fb06d00c11b2745f0636b59f686e19fb4ea35d68dc74b29b71f53215ac92a5f

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:57:43.513263Z digest=sha256:8e1a96bbd39beea596d2cbd9e89761a1137f683679aba69c1a7d420f1bdb4776

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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verified exact
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:57:43.517373Z digest=sha256:b3415103c74823a8d576f2939ffb2a1f64a116e6509caf64e7057884ec2dc491

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:57:43.522102Z digest=sha256:f84cfbb6466d1ffe59c84bc1f2f3f3a12e91b4ba26c935a010a4af4822a29a9c

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:dc8769d5dd638f907fea4fb7ef1c22d9d0a92bac8c71d3be5d0e52d09eef1f4d

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=sha256:6792dd6e47abcc0306d90549e6ac05079bcf957ae59d8931622ded3716db8253

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:d1c58047fb5fe3645b298637f7dfebb8ca6b4136605657d01972d0184f764fa4

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=sha256:522c47e03dda4dde7dbe764d8c56b9638d0a61aa86945d182e8969cb3140f3ca

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=sha256:2d31a58ec20c549036e69c40bfc0b5fe61acc2d53c4ef426c5ad873868ef288f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:57:43.561755Z digest=sha256:91edc675bc2bc8e07e415e56d659f766477d089f1a8b4aa1370be72763dfde14

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:fceeac78db9358761cd1c65e3ac7a10f51a748da6bc2a8aaa6e5ef47b8c2f85c

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=sha256:5f130129f80ca27e249f19a8b902366f0d737f4b6e77694f2ef32c4ce70b7ef4

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=sha256:73d96b1d1f818968dedc2a01145a16e716cf86535aeb106ee365c0f1faffb56b

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=sha256:38daeddc5cfaaa14f3aac92016a59b50fb96fe1f1c2de6b8601e638eee71dfd3

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=sha256:9a6d2f1564f3dce4298d17412a66e3856b4dab25306e596f1ee40fc17abd3a0e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:57:43.464176Z digest=sha256:232564910539ab4cef186b6283aa5313a1e6eb5ba71bcae0352acc602d222ab1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T19:57:43.468052Z digest=sha256:2907bf1dff54e75b607e9150a176127b2b965720752ab9aee36e73908b85b9c7

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:bdc50dc6c93442ef7a7cc8f087a47b8cffb028362017753f956a079212530090

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=sha256:08a4a25b0b7eded4e7727b47ff57fc63284547181a012dfb90ebe9caaac4e958

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=sha256:0a490a33043e4fc4dbd533650152a5a9a9d91b67cb3496ab6c42729eef92bc93

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=sha256:3f3eea6a8e5fe7e0962d3bfb5df3fcc930d66ec7e9d0d57bf998f42227fad484

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:cd12f289b280d51e126e57941d52049943a076c703b4a431a6a767c5b207e0b6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T05:15:49.513101Z digest=sha256:dd58f9dd1c2feb1c41a7feada054cbfeb65eadbcfb649cd5791a91687c7b8248

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

Reference 2

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

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T08:52:10.092292Z digest=sha256:b0b362ec7afd81505177fb579677652a4be817499869fec12c6b53e19366ac4f