Paper Citation Record · LEDGER

LLM Evaluators Recognize and Favor Their Own Generations

As of 14 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 100 inbound Pith citation observations for arXiv:2404.13076.

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

pith.paper-citation-record.v1
2404.13076 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T18:44:28.766639Z

measured 134 of 134 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 100 of 116 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:34:16.109049Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T10:27:02.394079Z

Reference resolution

34 of 34 outbound references displayed

verified exact28
verified fuzzy1
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dcc07dca-9d29-43a7-8dd4-6c5cc3e93b96 · outbound

This paper cites Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models.

LLM Evaluators Recognize and Favor Their Own Generations Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.852504Z

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.

Observation 51465281-ecae-4508-998e-3f7b72b3479a · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

LLM Evaluators Recognize and Favor Their Own Generations Constitutional AI: Harmlessness from AI Feedback

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-22T18:44:28.845174Z

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.

Observation e6899d29-4ce0-417e-8f85-ca0c29b0360c · outbound

This paper cites Taken out of context: On measuring situational awareness in LLMs.

LLM Evaluators Recognize and Favor Their Own Generations Taken out of context: On measuring situational awareness in LLMs

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.849090Z

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.

Observation 645e2664-f561-446e-b5f4-cb4fb8d7985d · outbound

This paper cites VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use.

LLM Evaluators Recognize and Favor Their Own Generations VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.800274Z

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.

Observation fdb6f66e-2cf4-4ca9-9fda-67092216283b · outbound

This paper cites doi: 10.1037/h0057532.

LLM Evaluators Recognize and Favor Their Own Generations doi: 10.1037/h0057532

Reference 5

Resolution: verified exact; doi, observed 2026-05-22T18:44:28.792101Z

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.

Observation 009d39b9-0577-47c3-a4e4-3805523c6671 · outbound

This paper cites GPTScore: Evaluate as You Desire.

LLM Evaluators Recognize and Favor Their Own Generations GPTScore: Evaluate as You Desire

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-22T18:44:28.804592Z

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.

Observation 702d8014-845d-46e6-98f1-9a2cd8c3a526 · outbound

This paper cites doi: 10.3389/feduc.2023.

LLM Evaluators Recognize and Favor Their Own Generations doi: 10.3389/feduc.2023

Reference 7

Resolution: verified exact; doi, observed 2026-05-22T18:44:28.794619Z

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.

Observation 54824b3e-a20f-4d0c-b65f-0cc98bde91f4 · outbound

This paper cites Automatic Detection of Machine Generated Text: A Critical Survey.

LLM Evaluators Recognize and Favor Their Own Generations Automatic Detection of Machine Generated Text: A Critical Survey

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.809325Z

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.

Observation 1dcfae41-a0d0-4958-86b7-7ad8b65c6949 · outbound

This paper cites Language Models (Mostly) Know What They Know.

LLM Evaluators Recognize and Favor Their Own Generations Language Models (Mostly) Know What They Know

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-22T18:44:28.812968Z

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.

Observation f899883b-0a27-470b-8d38-f46471bf40bf · outbound

This paper cites Benchmarking Cognitive Biases in Large Language Models as Evaluators.

LLM Evaluators Recognize and Favor Their Own Generations Benchmarking Cognitive Biases in Large Language Models as Evaluators

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.816877Z

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.

Observation 8c3b4fca-8c02-4bb3-9d92-43b1627d2c44 · outbound

This paper cites A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization.

LLM Evaluators Recognize and Favor Their Own Generations A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.820895Z

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.

Observation fff6c62b-8db7-43c0-a1a7-62905b091570 · outbound

This paper cites RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback.

LLM Evaluators Recognize and Favor Their Own Generations RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-22T18:44:28.825111Z

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.

Observation cb019c6b-8076-4151-a9e9-5fb79ce59bcc · outbound

This paper cites Scalable agent alignment via reward modeling: a research direction.

LLM Evaluators Recognize and Favor Their Own Generations Scalable agent alignment via reward modeling: a research direction

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-22T18:44:28.828850Z

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.

Observation d2851bc6-048b-4ff5-8ed3-3ad223b0d344 · outbound

This paper cites original-date: 2023-05- 25T09:35:28Z.

LLM Evaluators Recognize and Favor Their Own Generations original-date: 2023-05- 25T09:35:28Z

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T18:44:28.908782Z

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.

Observation d2160a96-009f-4a07-81c8-52bb9ac2f147 · outbound

This paper cites LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores.

LLM Evaluators Recognize and Favor Their Own Generations LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T18:44:28.834486Z

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.

Observation 29194dcf-ade2-4c4c-8384-ae1fbbaa8982 · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

LLM Evaluators Recognize and Favor Their Own Generations Self-Refine: Iterative Refinement with Self-Feedback

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T18:44:28.838271Z

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.

Observation 80d8964d-6ab0-4501-92ff-6e823b96f15c · outbound

This paper cites doi: 10.18653/v1/K16-1028.

LLM Evaluators Recognize and Favor Their Own Generations doi: 10.18653/v1/K16-1028

Reference 17

Resolution: verified exact; doi, observed 2026-05-22T18:44:28.787534Z

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.

Observation a2a9abef-832b-469f-8455-021f8dfc1a48 · outbound

This paper cites Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization.

LLM Evaluators Recognize and Favor Their Own Generations Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-22T18:44:28.855759Z

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.

Observation 095a6bf5-3ce4-4e29-ac5e-e8b24df512bb · outbound

This paper cites GPT-4 Technical Report.

LLM Evaluators Recognize and Favor Their Own Generations GPT-4 Technical Report

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-22T18:44:28.858878Z

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.

Observation d582b9b6-d5ed-4597-91f2-37a359ee5adf · outbound

This paper cites Feedback Loops With Language Models Drive In-Context Reward Hacking.

LLM Evaluators Recognize and Favor Their Own Generations Feedback Loops With Language Models Drive In-Context Reward Hacking

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.862606Z

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.

Observation 8b7a79d1-ea2a-4d6e-b455-5176afe3af84 · outbound

This paper cites Towards Evaluating AI Systems for Moral Status Using Self-Reports.

LLM Evaluators Recognize and Favor Their Own Generations Towards Evaluating AI Systems for Moral Status Using Self-Reports

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.866163Z

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.

Observation f9a0386e-0bc0-4eac-97a0-b2285f92fbad · outbound

This paper cites Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions.

LLM Evaluators Recognize and Favor Their Own Generations Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.869826Z

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.

Observation 5366f98b-251d-442b-82df-442143ec8918 · outbound

This paper cites Self-critiquing models for assisting human evaluators.

LLM Evaluators Recognize and Favor Their Own Generations Self-critiquing models for assisting human evaluators

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-22T18:44:28.873093Z

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.

Observation 3cf4097b-9dce-4f2d-aa9a-407bb4794189 · outbound

This paper cites Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models.

LLM Evaluators Recognize and Favor Their Own Generations Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.876395Z

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.

Observation bc9ed97e-d90f-4a90-99fe-84a9c60fcef2 · outbound

This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

LLM Evaluators Recognize and Favor Their Own Generations Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T18:44:28.879481Z

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.

Observation 5349df24-9bfb-4cd8-a64d-f8a025190f46 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

LLM Evaluators Recognize and Favor Their Own Generations Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-22T18:44:28.882961Z

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.

Observation c6838485-6b2c-4ede-bb90-d3c423c6922f · outbound

This paper cites MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception.

LLM Evaluators Recognize and Favor Their Own Generations MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.886552Z

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.

Observation 007423c5-0146-4ca1-83c2-8c5cd31ee503 · outbound

This paper cites Recursively Summarizing Books with Human Feedback.

LLM Evaluators Recognize and Favor Their Own Generations Recursively Summarizing Books with Human Feedback

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T18:44:28.889779Z

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.

Observation 84c582e3-e9ab-4b39-85c1-ce314e3dcb98 · outbound

This paper cites A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions.

LLM Evaluators Recognize and Favor Their Own Generations A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.893321Z

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.

Observation de6edc4f-4e31-4076-b32c-c778efd9f3e6 · outbound

This paper cites Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement.

LLM Evaluators Recognize and Favor Their Own Generations Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.896390Z

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.

Observation 045ac1d4-3916-4db9-aacf-473ab1fb8b69 · outbound

This paper cites A Survey on Detection of LLMs-Generated Content.

LLM Evaluators Recognize and Favor Their Own Generations A Survey on Detection of LLMs-Generated Content

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.899519Z

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.

Observation 5ea14b52-8aee-431c-83c4-14dab7ddef84 · outbound

This paper cites Do Large Language Models Know What They Don't Know?.

LLM Evaluators Recognize and Favor Their Own Generations Do Large Language Models Know What They Don't Know?

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.903039Z

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.

Observation bde149ff-327d-4cbf-93c6-85e846f42169 · outbound

This paper cites Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation.

LLM Evaluators Recognize and Favor Their Own Generations Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.906549Z

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.

Observation 8ba96294-b41e-4a08-8522-45e72df13aac · outbound

This paper cites Evaluating Large Language Models at Evaluating Instruction Following.

LLM Evaluators Recognize and Favor Their Own Generations Evaluating Large Language Models at Evaluating Instruction Following

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T18:44:28.841917Z

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.

Pith citing papers

Observation b6ad9c75-d36d-41fe-b11b-7d1cdf70caca · inbound

Inertia in Moral and Value Judgments of Large Language Models cites this paper.

Inertia in Moral and Value Judgments of Large Language Models LLM Evaluators Recognize and Favor Their Own Generations

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-23T22:05:50.087921Z

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.

Observation 8ad9e232-bdf9-4907-b2f8-29f0e184af6e · inbound

Inspection and Control of Self-Generated-Text Recognition Ability in Llama3-8b-Instruct cites this paper.

Inspection and Control of Self-Generated-Text Recognition Ability in Llama3-8b-Instruct LLM Evaluators Recognize and Favor Their Own Generations

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T19:53:23.262358Z

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.

Observation 3d787a9f-3e54-494b-aa6a-a31a0b37c7ed · inbound

Self-Preference Bias in LLM-as-a-Judge cites this paper.

Self-Preference Bias in LLM-as-a-Judge LLM Evaluators Recognize and Favor Their Own Generations

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation 64c53fff-a207-48da-97f7-0de4cc5d41b3 · inbound

SimTube: Generating Simulated Video Comments through Multimodal AI and User Personas cites this paper.

SimTube: Generating Simulated Video Comments through Multimodal AI and User Personas LLM Evaluators Recognize and Favor Their Own Generations

Reference 2

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Observation c9a68d38-3b3a-4b4d-bed0-ef4950ac7d86 · inbound

The Illusion of Empathy: How AI Chatbots Shape Conversation Perception cites this paper.

The Illusion of Empathy: How AI Chatbots Shape Conversation Perception LLM Evaluators Recognize and Favor Their Own Generations

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T17:08:26.654572Z

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Unavailable: canonical work link unavailable.

Observation 00bab622-5de5-4eaf-ad4d-0c121f53aa78 · inbound

Efficient Aspect-Based Summarization of Climate Change Reports with Small Language Models cites this paper.

Efficient Aspect-Based Summarization of Climate Change Reports with Small Language Models LLM Evaluators Recognize and Favor Their Own Generations

Reference 2024

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Observation eb71aab2-9895-4280-bedc-5cf82cbbfa18 · inbound

SAGEval: The frontiers of Satisfactory Agent based NLG Evaluation for reference-free open-ended text cites this paper.

SAGEval: The frontiers of Satisfactory Agent based NLG Evaluation for reference-free open-ended text LLM Evaluators Recognize and Favor Their Own Generations

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T13:37:15.817222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa766792-8143-4ef5-bf0e-bf3cb1f7ab7f · inbound

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation cites this paper.

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation LLM Evaluators Recognize and Favor Their Own Generations

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T22:37:55.664752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91e4fdbf-9aba-42a9-869e-91d59075299d · inbound

Show, Don't Tell: Uncovering Implicit Character Portrayal using LLMs cites this paper.

Show, Don't Tell: Uncovering Implicit Character Portrayal using LLMs LLM Evaluators Recognize and Favor Their Own Generations

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T21:28:19.134006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f9f0f66-694b-4dfe-828d-9e95598adb77 · 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 LLM Evaluators Recognize and Favor Their Own Generations

Reference 177

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation 49fd37c9-6cc2-4171-96c6-5553d8b27e9d · inbound

QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs cites this paper.

QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs LLM Evaluators Recognize and Favor Their Own Generations

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:29.503176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24791312-1495-4c26-8b59-d9a64dea32eb · inbound

A Distributed Collaborative Retrieval Framework Excelling in All Queries and Corpora based on Zero-shot Rank-Oriented Automatic Evaluation cites this paper.

A Distributed Collaborative Retrieval Framework Excelling in All Queries and Corpora based on Zero-shot Rank-Oriented Automatic Evaluation LLM Evaluators Recognize and Favor Their Own Generations

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T14:36:16.059013Z

Source-reported events for the cited work

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Observation b46ea476-4908-44e3-ad12-f0438f16939e · inbound

Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation cites this paper.

Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation LLM Evaluators Recognize and Favor Their Own Generations

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T12:58:26.937180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa79b3a9-6e4c-4b1b-b5a9-b7fa7962d0a3 · inbound

Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident, Especially When They are Wrong cites this paper.

Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident, Especially When They are Wrong LLM Evaluators Recognize and Favor Their Own Generations

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-23T05:37:36.055475Z

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.

Observation 0f1a9170-4b93-41c0-9fd0-fa6ecc3be8dd · inbound

Tuning LLM Judge Design Decisions for 1/1000 of the Cost cites this paper.

Tuning LLM Judge Design Decisions for 1/1000 of the Cost LLM Evaluators Recognize and Favor Their Own Generations

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T15:02:43.274806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11b10f94-2a9c-451e-aee3-6ca9f4d3ae77 · inbound

How do Humans and Language Models Reason About Creativity? A Comparative Analysis cites this paper.

How do Humans and Language Models Reason About Creativity? A Comparative Analysis LLM Evaluators Recognize and Favor Their Own Generations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T05:23:59.966207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53b8c123-a100-4905-ad58-b225e8b1981d · inbound

AI Alignment at Your Discretion cites this paper.

AI Alignment at Your Discretion LLM Evaluators Recognize and Favor Their Own Generations

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-08T16:14:57.437069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4270e169-fa7e-4639-aa44-edc42768674f · inbound

Peeking Behind Closed Doors: Risks of LLM Evaluation by Private Data Curators cites this paper.

Peeking Behind Closed Doors: Risks of LLM Evaluation by Private Data Curators LLM Evaluators Recognize and Favor Their Own Generations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T16:55:23.990465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22e590c6-4e69-47fd-9f01-a28c08ad1826 · inbound

Multi-Stage Retrieval for Operational Technology Cybersecurity Compliance Using Large Language Models: A Railway Casestudy cites this paper.

Multi-Stage Retrieval for Operational Technology Cybersecurity Compliance Using Large Language Models: A Railway Casestudy LLM Evaluators Recognize and Favor Their Own Generations

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation 1675159f-a359-4928-b17f-45b930d2eaeb · inbound

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation cites this paper.

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation LLM Evaluators Recognize and Favor Their Own Generations

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:19:17.178061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4631f2bc-8179-4f1e-8198-984328c59ca8 · inbound

Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks cites this paper.

Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks LLM Evaluators Recognize and Favor Their Own Generations

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:36.804850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5c44c37-4683-4d05-b1b3-15e79cd9f1b0 · inbound

Large Language Models for Predictive Analysis: How Far Are They? cites this paper.

Large Language Models for Predictive Analysis: How Far Are They? LLM Evaluators Recognize and Favor Their Own Generations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:24.225917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff79056f-6f10-4e40-8146-140ca201ef0a · inbound

syftr: Pareto-Optimal Generative AI cites this paper.

syftr: Pareto-Optimal Generative AI LLM Evaluators Recognize and Favor Their Own Generations

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:50.789445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47c1e098-0725-4fd0-8b0d-eb49ce71aa30 · inbound

Towards Conversational Development Environments: Using Theory-of-Mind and Multi-Agent Architectures for Requirements Refinement cites this paper.

Towards Conversational Development Environments: Using Theory-of-Mind and Multi-Agent Architectures for Requirements Refinement LLM Evaluators Recognize and Favor Their Own Generations

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:59.026744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa0623f9-8c14-4145-b51f-12e4a0a176ba · inbound

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL cites this paper.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL LLM Evaluators Recognize and Favor Their Own Generations

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:46:27.078452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d381cae9-b08a-46da-97a9-afd1bd5c7c5f · inbound

Does It Make Sense to Speak of Introspection in Large Language Models? cites this paper.

Does It Make Sense to Speak of Introspection in Large Language Models? LLM Evaluators Recognize and Favor Their Own Generations

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:37.672436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e104101e-e157-47ab-9789-edbe58235f57 · inbound

Right Is Not Enough: The Pitfalls of Outcome Supervision in Training LLMs for Math Reasoning cites this paper.

Right Is Not Enough: The Pitfalls of Outcome Supervision in Training LLMs for Math Reasoning LLM Evaluators Recognize and Favor Their Own Generations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:50:49.513946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30ef8940-83f3-4a49-8f21-17c2e82ebbe2 · inbound

How Benchmark Prediction from Fewer Data Misses the Mark cites this paper.

How Benchmark Prediction from Fewer Data Misses the Mark LLM Evaluators Recognize and Favor Their Own Generations

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:26.937721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a14b3870-6674-4ae9-bbd0-3c95a9225e71 · inbound

Evaluating LLM Agent Collusion in Double Auctions cites this paper.

Evaluating LLM Agent Collusion in Double Auctions LLM Evaluators Recognize and Favor Their Own Generations

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T20:57:41.793378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2fac121-3779-4f6e-9a6b-077b66871fe1 · inbound

The Generative Energy Arena (GEA): Incorporating Energy Awareness in Large Language Model (LLM) Human Evaluations cites this paper.

The Generative Energy Arena (GEA): Incorporating Energy Awareness in Large Language Model (LLM) Human Evaluations LLM Evaluators Recognize and Favor Their Own Generations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:33:02.884796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff84316f-d482-4e36-9d8b-12c0ac14e873 · inbound

Can External Validation Tools Improve Annotation Quality for LLM-as-a-Judge? cites this paper.

Can External Validation Tools Improve Annotation Quality for LLM-as-a-Judge? LLM Evaluators Recognize and Favor Their Own Generations

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T15:02:21.733580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0112b2ea-cc66-4340-9db0-44ed6570f111 · inbound

Cascaded Information Disclosure for Generalized Evaluation of Problem Solving Capabilities cites this paper.

Cascaded Information Disclosure for Generalized Evaluation of Problem Solving Capabilities LLM Evaluators Recognize and Favor Their Own Generations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T10:28:55.416142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1b4a454-ab3b-4ee8-b80d-7bc864ed07a2 · inbound

Play Favorites: A Statistical Method to Measure Self-Bias in LLM-as-a-Judge cites this paper.

Play Favorites: A Statistical Method to Measure Self-Bias in LLM-as-a-Judge LLM Evaluators Recognize and Favor Their Own Generations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T22:40:42.222615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41f18b2d-7d8e-4ec7-9fe3-c26d127b57bf · inbound

Hermes 4 Technical Report cites this paper.

Hermes 4 Technical Report LLM Evaluators Recognize and Favor Their Own Generations

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:54.605015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3be7bdb-19ae-4b70-853f-6e0d66ffbc5c · inbound

Breaking the Mirror: Activation-Based Mitigation of Self-Preference in LLM Evaluators cites this paper.

Breaking the Mirror: Activation-Based Mitigation of Self-Preference in LLM Evaluators LLM Evaluators Recognize and Favor Their Own Generations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T10:51:44.497879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9e2d1a7-cba9-4927-9f62-d1632947881c · inbound

Correcting Prompt Dependence in LLM Benchmarks: A Bayesian Hierarchical Model with Embedding-Space Clustering cites this paper.

Correcting Prompt Dependence in LLM Benchmarks: A Bayesian Hierarchical Model with Embedding-Space Clustering LLM Evaluators Recognize and Favor Their Own Generations

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T11:19:49.140681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 964cce02-b2a8-4eff-a5cc-077d67ab2ccb · inbound

Synthetic Eggs in Many Baskets: The Impact of Synthetic Data Diversity on LLM Fine-Tuning cites this paper.

Synthetic Eggs in Many Baskets: The Impact of Synthetic Data Diversity on LLM Fine-Tuning LLM Evaluators Recognize and Favor Their Own Generations

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation e05ec9cd-5555-4d59-9cce-b93d2cab1d80 · inbound

When Generic Prompt Improvements Hurt: Evaluation-Driven Iteration for LLM Applications cites this paper.

When Generic Prompt Improvements Hurt: Evaluation-Driven Iteration for LLM Applications LLM Evaluators Recognize and Favor Their Own Generations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T06:46:26.318507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe068385-672f-4acc-8838-5f54f5456a33 · inbound

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines cites this paper.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines LLM Evaluators Recognize and Favor Their Own Generations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.781379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ee0af1d-7a91-4b7e-93e7-1f082686a1c9 · inbound

Blind Refusal: Language Models Refuse to Help Users Evade Unjust, Absurd, and Illegitimate Rules cites this paper.

Blind Refusal: Language Models Refuse to Help Users Evade Unjust, Absurd, and Illegitimate Rules LLM Evaluators Recognize and Favor Their Own Generations

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation 1155bc7e-469a-40ca-ae71-d1a593c9050f · inbound

Self-Preference Bias in Rubric-Based Evaluation of Large Language Models cites this paper.

Self-Preference Bias in Rubric-Based Evaluation of Large Language Models LLM Evaluators Recognize and Favor Their Own Generations

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation e3ee2514-3842-445b-af4c-ae31f1626fc7 · inbound

Self-Preference Bias in Rubric-Based Evaluation of Large Language Models cites this paper.

Self-Preference Bias in Rubric-Based Evaluation of Large Language Models LLM Evaluators Recognize and Favor Their Own Generations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T16:40:55.436057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9785487-4c8a-40aa-bb92-59263e52e98a · inbound

Self-Preference Bias in Rubric-Based Evaluation of Large Language Models cites this paper.

Self-Preference Bias in Rubric-Based Evaluation of Large Language Models LLM Evaluators Recognize and Favor Their Own Generations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T05:36:43.346642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dfb4733-05f4-4488-8edd-af6e6f648f84 · inbound

RAG-DIVE: A Dynamic Approach for Multi-Turn Dialogue Evaluation in Retrieval-Augmented Generation cites this paper.

RAG-DIVE: A Dynamic Approach for Multi-Turn Dialogue Evaluation in Retrieval-Augmented Generation LLM Evaluators Recognize and Favor Their Own Generations

Reference 24

Resolution: malformed identifier; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation 61d69125-6ba6-47c1-87cd-e55399f84958 · inbound

Judging the Judges: A Systematic Evaluation of Bias Mitigation Strategies in LLM-as-a-Judge Pipelines cites this paper.

Judging the Judges: A Systematic Evaluation of Bias Mitigation Strategies in LLM-as-a-Judge Pipelines LLM Evaluators Recognize and Favor Their Own Generations

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation 3b3a299b-074e-41ac-96ba-05882f1d4594 · inbound

SycoPhantasy: Quantifying Sycophancy and Hallucination in Small Open Weight VLMs for Vision-Language Scoring of Fantasy Characters cites this paper.

SycoPhantasy: Quantifying Sycophancy and Hallucination in Small Open Weight VLMs for Vision-Language Scoring of Fantasy Characters LLM Evaluators Recognize and Favor Their Own Generations

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation 7c76ed3c-2c4e-4e46-84a1-5b478ca39ff6 · inbound

STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator cites this paper.

STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator LLM Evaluators Recognize and Favor Their Own Generations

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation 92271494-216a-49d7-a05d-28c2a6d139ad · inbound

Noncrossing Duality and the Geometry of Positive Tropical Linear Spaces cites this paper.

Noncrossing Duality and the Geometry of Positive Tropical Linear Spaces LLM Evaluators Recognize and Favor Their Own Generations

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T09:25:39.921635Z

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.

Observation bd81b812-3647-492b-8910-0e72f0fd08fb · inbound

When the Forger Is the Judge: GPT-Image-2 Cannot Recognize Its Own Faked Documents cites this paper.

When the Forger Is the Judge: GPT-Image-2 Cannot Recognize Its Own Faked Documents LLM Evaluators Recognize and Favor Their Own Generations

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation 42bb5091-77d0-40b4-9126-0cd81c93d2a3 · inbound

The Partial Testimony of Logs: Evaluation of Language Model Generation under Confounded Model Choice cites this paper.

The Partial Testimony of Logs: Evaluation of Language Model Generation under Confounded Model Choice LLM Evaluators Recognize and Favor Their Own Generations

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation 5585b901-868a-4eb7-8b74-35f06feef6c3 · inbound

Auditing Stealth Sycophancy in Mental-Health Dialogue: Structured Clinical-State Diagnostics and Clean Matched Benchmarks cites this paper.

Auditing Stealth Sycophancy in Mental-Health Dialogue: Structured Clinical-State Diagnostics and Clean Matched Benchmarks LLM Evaluators Recognize and Favor Their Own Generations

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T00:25:09.454515Z

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.

Observation bd80a5bd-5a76-44e7-9ab9-29add114a840 · inbound

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization cites this paper.

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization LLM Evaluators Recognize and Favor Their Own Generations

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation 84b2d1c8-e56d-405f-bc81-680bc3bec2ab · inbound

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization cites this paper.

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization LLM Evaluators Recognize and Favor Their Own Generations

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation 0df374ed-2447-44b8-af40-ff713cfc46ce · inbound

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization cites this paper.

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization LLM Evaluators Recognize and Favor Their Own Generations

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation 3a9ffa62-4e76-445e-a94f-ef20c61f42d8 · inbound

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization cites this paper.

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization LLM Evaluators Recognize and Favor Their Own Generations

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T14:53:22.998757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a772f4b-7f63-44ca-84da-ab9c91adba96 · inbound

Automated alignment is harder than you think cites this paper.

Automated alignment is harder than you think LLM Evaluators Recognize and Favor Their Own Generations

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation c8c56dd2-ae08-41c1-a880-a984a517a4e2 · inbound

Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities cites this paper.

Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities LLM Evaluators Recognize and Favor Their Own Generations

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation d9389ff7-0297-4d30-932e-5906c5000064 · inbound

Dimension-Level Intent Fidelity Evaluation for Large Language Models: Evidence from Structured Prompt Ablation cites this paper.

Dimension-Level Intent Fidelity Evaluation for Large Language Models: Evidence from Structured Prompt Ablation LLM Evaluators Recognize and Favor Their Own Generations

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation dc9c9793-796b-4c6b-94c6-8d9f4300128d · inbound

Evaluating Deep Research Agents on Expert Consulting Work: A Benchmark with Verifiers, Rubrics, and Cognitive Traps cites this paper.

Evaluating Deep Research Agents on Expert Consulting Work: A Benchmark with Verifiers, Rubrics, and Cognitive Traps LLM Evaluators Recognize and Favor Their Own Generations

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T19:05:01.031097Z

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.

Observation 03c187cb-2cb8-4f6d-b9de-c559218bc649 · inbound

DecisionBench: A Benchmark for Emergent Delegation in Long-Horizon Agentic Workflows cites this paper.

DecisionBench: A Benchmark for Emergent Delegation in Long-Horizon Agentic Workflows LLM Evaluators Recognize and Favor Their Own Generations

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation 1e9f3457-1218-40e9-991f-581a7c04d50c · inbound

Position: Uncertainty Quantification in LLMs is Just Unsupervised Clustering cites this paper.

Position: Uncertainty Quantification in LLMs is Just Unsupervised Clustering LLM Evaluators Recognize and Favor Their Own Generations

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation be36840e-8f59-4008-853d-320446c05b05 · inbound

Generative-Evaluative Agreement: A Necessary Validity Criterion for LLM-Enabled Adaptive Assessment cites this paper.

Generative-Evaluative Agreement: A Necessary Validity Criterion for LLM-Enabled Adaptive Assessment LLM Evaluators Recognize and Favor Their Own Generations

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation 086b1bbf-d5c1-4c91-9528-cb556e90c2df · inbound

Pramana: A Protocol-Layer Treatment of Claim Verification in Autonomous Agent Networks cites this paper.

Pramana: A Protocol-Layer Treatment of Claim Verification in Autonomous Agent Networks LLM Evaluators Recognize and Favor Their Own Generations

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation d4871818-cf6b-4abf-8172-bddee35d49a2 · inbound

Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost cites this paper.

Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost LLM Evaluators Recognize and Favor Their Own Generations

Reference 70

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation 4602ff13-cb26-43ab-ac7d-c4c35a43d82e · inbound

AMEL: Accumulated Message Effects on LLM Judgments cites this paper.

AMEL: Accumulated Message Effects on LLM Judgments LLM Evaluators Recognize and Favor Their Own Generations

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:44:28.909456Z

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.

Observation 224160ec-611c-4dd2-8bfc-bce2f95a16d5 · inbound

AMEL: Accumulated Message Effects on LLM Judgments cites this paper.

AMEL: Accumulated Message Effects on LLM Judgments LLM Evaluators Recognize and Favor Their Own Generations

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:04:56.460770Z

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.

Observation f0fccc42-0e8b-4263-ad5b-51cebae75a85 · inbound

A Two-Phase Stability Study of LLM Judges and Bar Council Examiners on Thai Bar-Exam Free-Form Essays cites this paper.

A Two-Phase Stability Study of LLM Judges and Bar Council Examiners on Thai Bar-Exam Free-Form Essays LLM Evaluators Recognize and Favor Their Own Generations

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:13:59.045484Z

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.

Observation 5d1384b0-29d4-42e9-9394-7b9f78a1df6d · inbound

Plans for Evaluating Structured Generative Search Summaries cites this paper.

Plans for Evaluating Structured Generative Search Summaries LLM Evaluators Recognize and Favor Their Own Generations

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T16:33:39.098123Z

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.

Observation ca11954a-5440-4534-a444-be37301db93d · inbound

Are Video Models Zero-Shot Learners and Reasoners in Education? EduVideoBench, A Knowledge-Skills-Attitude Benchmark for Educational Video Generation cites this paper.

Are Video Models Zero-Shot Learners and Reasoners in Education? EduVideoBench, A Knowledge-Skills-Attitude Benchmark for Educational Video Generation LLM Evaluators Recognize and Favor Their Own Generations

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T18:23:50.870842Z

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.

Observation aac68ec3-2357-412c-af72-2410bce24d70 · inbound

Gumbel Machine: Counterfactual Student Writing Generation via Gumbel Noise Steering cites this paper.

Gumbel Machine: Counterfactual Student Writing Generation via Gumbel Noise Steering LLM Evaluators Recognize and Favor Their Own Generations

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T16:53:40.892169Z

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.

Observation f9458aa7-00b6-4ba5-aa06-3e9c3e730ffd · inbound

Does Capability Transfer to Subjective Behavior -- and Would Our Instruments Tell Us? A Self-Evolving, Trust-by-Construction Evaluation Paradigm cites this paper.

Does Capability Transfer to Subjective Behavior -- and Would Our Instruments Tell Us? A Self-Evolving, Trust-by-Construction Evaluation Paradigm LLM Evaluators Recognize and Favor Their Own Generations

Reference 86

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T13:03:26.708876Z

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.

Observation 612f9d56-5b7b-46e9-b572-d33c35edc7f3 · inbound

BenGER: Benchmarking LLM Systems on Subsumption-Based Legal Reasoning in German Law cites this paper.

BenGER: Benchmarking LLM Systems on Subsumption-Based Legal Reasoning in German Law LLM Evaluators Recognize and Favor Their Own Generations

Reference 2

Resolution: malformed identifier; local_arxiv, observed 2026-06-29T12:53:26.595076Z

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.

Observation 76640b33-bdb6-4b2e-bdd6-6760516ccf37 · inbound

BenGER: Benchmarking LLM Systems on Subsumption-Based Legal Reasoning in German Law cites this paper.

BenGER: Benchmarking LLM Systems on Subsumption-Based Legal Reasoning in German Law LLM Evaluators Recognize and Favor Their Own Generations

Reference 2

Resolution: malformed identifier; local_arxiv, observed 2026-07-01T08:05:31.149817Z

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.

Observation 0c048db2-ceb2-4b26-9b35-27f32a6b8f03 · inbound

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning cites this paper.

Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning LLM Evaluators Recognize and Favor Their Own Generations

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T06:16:43.747093Z

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.

Observation 993b4273-bacb-4f2c-b3da-ac882ca7ee59 · inbound

MIRAI: Prediction and Generation of High-Impact Academic Research cites this paper.

MIRAI: Prediction and Generation of High-Impact Academic Research LLM Evaluators Recognize and Favor Their Own Generations

Reference 51

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T12:06:55.988288Z

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.

Observation f52edc08-0430-40ac-9ac5-bba9bbaeb894 · inbound

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version) cites this paper.

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version) LLM Evaluators Recognize and Favor Their Own Generations

Reference 45

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T13:26:59.396726Z

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.

Observation 6bc326df-a6e9-42cf-ae0d-0403ce696e1c · inbound

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version) cites this paper.

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version) LLM Evaluators Recognize and Favor Their Own Generations

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T12:21:42.740103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1b2ea92-b418-4767-9c43-48bde695430c · inbound

Self-Preference Is Weak or Absent in Verifiable Instruction-Following Revision: A Four-Model Test Under Genuine Authorship cites this paper.

Self-Preference Is Weak or Absent in Verifiable Instruction-Following Revision: A Four-Model Test Under Genuine Authorship LLM Evaluators Recognize and Favor Their Own Generations

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T03:59:33.325115Z

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.

Observation c92eec94-0e14-465b-80b7-70387c349623 · inbound

BabelJudge: Measuring LLM-as-a-Judge Reliability Across Languages and Agent Trajectories cites this paper.

BabelJudge: Measuring LLM-as-a-Judge Reliability Across Languages and Agent Trajectories LLM Evaluators Recognize and Favor Their Own Generations

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:49:41.502683Z

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.

Observation c2d4a730-8c8d-4242-b191-cd558e79200b · inbound

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

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning LLM Evaluators Recognize and Favor Their Own Generations

Reference 207

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T09:59:44.859847Z

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.

Observation e98114e5-c12e-4aaf-b6c4-49f6d4fb1000 · inbound

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

SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning LLM Evaluators Recognize and Favor Their Own Generations

Reference 206

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T18:55:59.685310Z

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.

Observation 7d6d7bdd-aa01-4fa1-9990-692e1e358d81 · inbound

Same question, different history: language, national identity, and credit in large language models cites this paper.

Same question, different history: language, national identity, and credit in large language models LLM Evaluators Recognize and Favor Their Own Generations

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T10:39:45.890306Z

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.

Observation fe034b2e-076a-4f39-80f7-6982ff3fc2ce · inbound

Litmus: Zero-Label, Code-Driven Metric Specification for Evaluating AI Systems cites this paper.

Litmus: Zero-Label, Code-Driven Metric Specification for Evaluating AI Systems LLM Evaluators Recognize and Favor Their Own Generations

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T10:59:46.352976Z

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.

Observation 52dfce92-da63-4df8-a78d-5f6854a86556 · inbound

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? cites this paper.

Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability? LLM Evaluators Recognize and Favor Their Own Generations

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T16:19:57.636033Z

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.

Observation b95f64ae-201f-41c2-833a-c69eae1ee06e · inbound

Deterministic Decisions for High-Stakes AI. A Zero-Egress Pipeline with the Deployability of RAG and the Accuracy of Machine Learning cites this paper.

Deterministic Decisions for High-Stakes AI. A Zero-Egress Pipeline with the Deployability of RAG and the Accuracy of Machine Learning LLM Evaluators Recognize and Favor Their Own Generations

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-06-30T08:14:25.793313Z

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.

Observation 57dcb337-3dba-4f3d-bc30-e937444b6dab · inbound

EMPATH: A Multilingual Auditor-Judge Benchmark for Safety Evaluation of Emotional-Support Chatbots cites this paper.

EMPATH: A Multilingual Auditor-Judge Benchmark for Safety Evaluation of Emotional-Support Chatbots LLM Evaluators Recognize and Favor Their Own Generations

Reference 14

Resolution: malformed identifier; local_arxiv, observed 2026-06-30T06:14:18.003107Z

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.

Observation 3a8b2b1a-4bb8-476a-beb4-73b75ee05a76 · inbound

Poller: Are LLMs Suitable for Evaluating the Poetry Understanding Task? cites this paper.

Poller: Are LLMs Suitable for Evaluating the Poetry Understanding Task? LLM Evaluators Recognize and Favor Their Own Generations

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-06-30T06:04:21.542266Z

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.

Observation eac85c47-0c14-49f1-a73a-0f7a6ec6b203 · inbound

AGC-Bench: Measuring Artificial General Creativity cites this paper.

AGC-Bench: Measuring Artificial General Creativity LLM Evaluators Recognize and Favor Their Own Generations

Reference 50

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T12:36:56.078980Z

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.

Observation 20cf4520-2494-4af9-95fb-95fd090a7aec · inbound

AGC-Bench: Measuring Artificial General Creativity cites this paper.

AGC-Bench: Measuring Artificial General Creativity LLM Evaluators Recognize and Favor Their Own Generations

Reference 50

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T21:28:58.100940Z

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.

Observation fb9b4ffe-3174-4067-8e82-d2a3d73095a1 · inbound

EvalLoop: A Methodology for Evaluation-Driven Iterative Improvement of Business AI Systems cites this paper.

EvalLoop: A Methodology for Evaluation-Driven Iterative Improvement of Business AI Systems LLM Evaluators Recognize and Favor Their Own Generations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T04:31:30.304599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d12c5f09-2d28-41b5-9b0a-af4ef3273d9b · inbound

When LLMs Agree, Are They Right? Auditing Self-Consistency and Cross-Model Agreement as Confidence Signals cites this paper.

When LLMs Agree, Are They Right? Auditing Self-Consistency and Cross-Model Agreement as Confidence Signals LLM Evaluators Recognize and Favor Their Own Generations

Reference 50

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T00:56:40.949844Z

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.

Observation 6f5c6fd4-a7d4-42c4-bb3d-51443e668ded · inbound

When LLMs Agree, Are They Right? Auditing Self-Consistency and Cross-Model Agreement as Confidence Signals cites this paper.

When LLMs Agree, Are They Right? Auditing Self-Consistency and Cross-Model Agreement as Confidence Signals LLM Evaluators Recognize and Favor Their Own Generations

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T07:59:16.438403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dabcdac3-ffb5-45fd-9477-fe485d4f41f5 · inbound

Persuasion Attacks Can Decrease Effectiveness of CoT Monitoring cites this paper.

Persuasion Attacks Can Decrease Effectiveness of CoT Monitoring LLM Evaluators Recognize and Favor Their Own Generations

Reference 102

Resolution: verified exact; local_arxiv, observed 2026-07-10T00:56:41.062491Z

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.

Observation 8d280af0-842a-48a9-b803-0013f8727146 · inbound

Different Teachers, Different Capabilities: Sub-1B On-Device Distillation for Structured Text Enrichment cites this paper.

Different Teachers, Different Capabilities: Sub-1B On-Device Distillation for Structured Text Enrichment LLM Evaluators Recognize and Favor Their Own Generations

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-07-10T10:27:02.395348Z

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.

Observation b6db7c52-4cb7-4940-8b8b-7490af6ffdea · inbound

Exposure is not manifestation: measurement target and output resolution jointly determine which behavioural-faithfulness evaluator wins cites this paper.

Exposure is not manifestation: measurement target and output resolution jointly determine which behavioural-faithfulness evaluator wins LLM Evaluators Recognize and Favor Their Own Generations

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-02T07:44:08.574095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9547897-a3d4-4137-8cd2-34840a19cedd · inbound

Test-Time Scaling for Small VLMs on Multilingual Visual MCQ cites this paper.

Test-Time Scaling for Small VLMs on Multilingual Visual MCQ LLM Evaluators Recognize and Favor Their Own Generations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T03:00:51.318412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a867c62c-c34c-4039-b64c-6050286e24eb · inbound

Using LLMs to Adjudicate Static-Analysis Alerts with Error Reduction Techniques cites this paper.

Using LLMs to Adjudicate Static-Analysis Alerts with Error Reduction Techniques LLM Evaluators Recognize and Favor Their Own Generations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T01:18:31.914413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45b5ff09-409e-4fe8-aadf-9ec1e549ff9c · inbound

AMT-X: Phase-Structured Multi-Turn Red-Teaming with Checklist-Gated Evaluation cites this paper.

AMT-X: Phase-Structured Multi-Turn Red-Teaming with Checklist-Gated Evaluation LLM Evaluators Recognize and Favor Their Own Generations

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T06:40:17.865408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a788b32a-97bc-4c67-8963-7817758cecf1 · inbound

Does Multi-Agent Debate Improve AI Feedback on Research Papers? cites this paper.

Does Multi-Agent Debate Improve AI Feedback on Research Papers? LLM Evaluators Recognize and Favor Their Own Generations

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-02T01:21:37.369091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c6e025c-a15a-4108-849f-d1a3973c8ea3 · inbound

Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models cites this paper.

Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models LLM Evaluators Recognize and Favor Their Own Generations

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-01T23:43:08.913869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.