Paper Citation Record · LEDGER

Measuring short-form factuality in large language models

As of 24 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 100 inbound Pith citation observations for arXiv:2411.04368.

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

pith.paper-citation-record.v1
2411.04368 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T06:45:50.219157Z

measured 119 of 119 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 100 of 147 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:09:31.122730Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

19 of 19 outbound references displayed

verified exact11
verified fuzzy5
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

12
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation b073f0d9-5944-412f-9adf-8a89a7b45b32 · outbound

This paper cites Do Language Models Know When They're Hallucinating References?.

Measuring short-form factuality in large language models Do Language Models Know When They're Hallucinating References?

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.241868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation db243db8-6c9c-4349-a301-7f9cb93a2cbb · outbound

This paper cites Anthropic.

Measuring short-form factuality in large language models Anthropic

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:45:50.313374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e7946d0d-d737-409a-9651-ab722df88e72 · outbound

This paper cites Evaluating Hallucinations in Chinese Large Language Models.

Measuring short-form factuality in large language models Evaluating Hallucinations in Chinese Large Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.302052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 39e907eb-f1fa-420d-9054-080ae0e0ce06 · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Measuring short-form factuality in large language models TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:45:50.309098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6799a419-3a33-45e1-9eb7-41b49cee82ca · outbound

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

Measuring short-form factuality in large language models Language Models (Mostly) Know What They Know

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:45:50.247729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f1c95610-5e4f-4f56-82b0-251e11647666 · outbound

This paper cites an unresolved cited work.

Measuring short-form factuality in large language models Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-05-15T06:45:50.330120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ed2ca68b-042e-41d5-bc2f-332a8fd42f93 · outbound

This paper cites Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation.

Measuring short-form factuality in large language models Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.254884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bde3cc3d-94ff-426a-89e5-9b645bf69cef · outbound

This paper cites Kwiatkowski, J.

Measuring short-form factuality in large language models Kwiatkowski, J

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:45:50.339191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d3b46f2b-f045-40d8-9e11-be3075ccf31c · outbound

This paper cites HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models.

Measuring short-form factuality in large language models HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.262718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ac5c9d88-26cb-4779-99f6-4ab53a4d63d8 · outbound

This paper cites an unresolved cited work.

Measuring short-form factuality in large language models Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-15T06:45:50.317471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 70495176-badf-4cfd-ac03-e572429f0681 · outbound

This paper cites Teaching Models to Express Their Uncertainty in Words.

Measuring short-form factuality in large language models Teaching Models to Express Their Uncertainty in Words

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:36:08.649609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ae740448-1b5c-44fa-af53-df06ce47ebbf · outbound

This paper cites an unresolved cited work.

Measuring short-form factuality in large language models Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-05-15T06:45:50.326041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5b06c113-8476-44f4-8286-ce49947e43a6 · outbound

This paper cites Hello gpt-4o, 2024 a.

Measuring short-form factuality in large language models Hello gpt-4o, 2024 a

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:45:50.334798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation da15d8a0-8180-4e76-89d1-a37120a204da · outbound

This paper cites Openai o1-mini, 2024 b.

Measuring short-form factuality in large language models Openai o1-mini, 2024 b

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:45:50.343851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c6c47803-e762-410b-a0ed-a6e74bc60ae2 · outbound

This paper cites Learning to reason with llms, 2024 c.

Measuring short-form factuality in large language models Learning to reason with llms, 2024 c

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T06:45:50.321566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1437c2c2-9997-49b4-80fa-c6512fe92af5 · outbound

This paper cites FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation.

Measuring short-form factuality in large language models FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.275719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9470a51c-6d82-44e1-9256-b44614e48517 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Measuring short-form factuality in large language models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:45:50.282772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 06b1d0f2-7278-4747-b188-f7c739200a4b · outbound

This paper cites Long-form factuality in large language models.

Measuring short-form factuality in large language models Long-form factuality in large language models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.288896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f67ea904-82ad-45f6-96fe-888ce408dc48 · outbound

This paper cites FELM: Benchmarking Factuality Evaluation of Large Language Models.

Measuring short-form factuality in large language models FELM: Benchmarking Factuality Evaluation of Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.295212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation e34ef943-f0b5-4d86-bc6f-10cae8658b79 · inbound

O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson? cites this paper.

O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson? Measuring short-form factuality in large language models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T13:07:48.894841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c931fb1-a8f3-46e2-9890-e16ce7c9656d · inbound

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo cites this paper.

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo Measuring short-form factuality in large language models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T20:55:26.901084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cb769b5-1664-425b-950f-9cc7ed93c96b · inbound

Deliberative Alignment: Reasoning Enables Safer Language Models cites this paper.

Deliberative Alignment: Reasoning Enables Safer Language Models Measuring short-form factuality in large language models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T10:44:16.347418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bdfc51e-a3d6-4f79-aa35-b1d2a30439c4 · inbound

Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking cites this paper.

Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking Measuring short-form factuality in large language models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T22:35:49.095505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8ecd44b-6284-4d06-998a-a87c5b07c9d4 · inbound

Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension cites this paper.

Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension Measuring short-form factuality in large language models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T22:33:24.532912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 830fab3b-2009-431d-be43-48d6d4ded6b2 · inbound

The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input cites this paper.

The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input Measuring short-form factuality in large language models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T21:57:11.916094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0219d421-062f-42b2-9758-a7ad296a4264 · inbound

TiEBe: Tracking Language Model Recall of Notable Worldwide Events Through Time cites this paper.

TiEBe: Tracking Language Model Recall of Notable Worldwide Events Through Time Measuring short-form factuality in large language models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T20:43:45.409278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 250d4475-5baa-45c9-b35d-d1c508a22886 · inbound

Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI cites this paper.

Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI Measuring short-form factuality in large language models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T19:54:58.050866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea073248-6907-44e2-b96d-353a4f384ba4 · inbound

Humanity's Last Exam cites this paper.

Humanity's Last Exam Measuring short-form factuality in large language models

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9d1158f4-6348-4a56-97f5-b98797720e26 · inbound

Trading Inference-Time Compute for Adversarial Robustness cites this paper.

Trading Inference-Time Compute for Adversarial Robustness Measuring short-form factuality in large language models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T22:19:41.395082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77d63d76-0b38-4929-95cb-12c593631201 · inbound

LIMO: Less is More for Reasoning cites this paper.

LIMO: Less is More for Reasoning Measuring short-form factuality in large language models

Reference 98

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T02:11:37.251634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1bb2c226-877e-4409-9356-16042d1529cf · inbound

Unbiased Evaluation of Large Language Models from a Causal Perspective cites this paper.

Unbiased Evaluation of Large Language Models from a Causal Perspective Measuring short-form factuality in large language models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-08T14:51:15.479245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75b9796e-604a-43ed-a377-36da011eea82 · inbound

Learning to Reason at the Frontier of Learnability cites this paper.

Learning to Reason at the Frontier of Learnability Measuring short-form factuality in large language models

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.155841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c873965e-5314-42be-9784-99015204d247 · inbound

LLM-Safety Evaluations Lack Robustness cites this paper.

LLM-Safety Evaluations Lack Robustness Measuring short-form factuality in large language models

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-05-23T01:27:21.310735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5f317ab6-a637-4ac1-8003-7c7c8dea20fa · inbound

Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results cites this paper.

Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results Measuring short-form factuality in large language models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T12:09:31.122730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 539bbfea-6fcc-4932-b7bf-33ec54fcd598 · inbound

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark cites this paper.

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark Measuring short-form factuality in large language models

Reference 132

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:40.757700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e10034c9-f11a-42d8-986e-814e5055f879 · inbound

aiXamine: Simplified LLM Safety and Security cites this paper.

aiXamine: Simplified LLM Safety and Security Measuring short-form factuality in large language models

Reference 128

Resolution: unresolved; no resolver link, observed 2026-08-16T11:39:11.275027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca7a9cbc-c633-41bf-8faf-dbd2ad02ca5e · inbound

HalluLens: LLM Hallucination Benchmark cites this paper.

HalluLens: LLM Hallucination Benchmark Measuring short-form factuality in large language models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-16T10:40:19.340665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6231d726-a778-47b9-b3f3-b19517bcab23 · inbound

Investigating task-specific prompts and sparse autoencoders for activation monitoring cites this paper.

Investigating task-specific prompts and sparse autoencoders for activation monitoring Measuring short-form factuality in large language models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T05:38:12.232963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5aa205e-0465-4378-8d75-1f4719ce8f88 · inbound

Evaluating LLM Metrics Through Real-World Capabilities cites this paper.

Evaluating LLM Metrics Through Real-World Capabilities Measuring short-form factuality in large language models

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:20.469685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bfd8c1c-7a42-490f-8262-aa9cc102b295 · inbound

Llama See, Llama Do: A Mechanistic Perspective on Contextual Entrainment and Distraction in LLMs cites this paper.

Llama See, Llama Do: A Mechanistic Perspective on Contextual Entrainment and Distraction in LLMs Measuring short-form factuality in large language models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T21:38:44.694284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3db9def-01cd-4792-bf47-2a938be442c0 · inbound

Phare: A Safety Probe for Large Language Models cites this paper.

Phare: A Safety Probe for Large Language Models Measuring short-form factuality in large language models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T20:58:23.215085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a38d3bc-a9c3-4402-a5b7-0b8712479fa4 · inbound

AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning cites this paper.

AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning Measuring short-form factuality in large language models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:49.430503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cee2d8f7-c7d7-4872-8ffd-955bf72fc76f · inbound

VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation cites this paper.

VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation Measuring short-form factuality in large language models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T15:34:43.846476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beeab439-929c-4b2b-aba6-664376dde5d1 · inbound

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use cites this paper.

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use Measuring short-form factuality in large language models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T15:30:51.016582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29f35dad-8602-4e0c-91fc-4b05780a2a6c · inbound

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents cites this paper.

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents Measuring short-form factuality in large language models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:53.898164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2769800b-4406-4c1e-8e46-04605919d1df · inbound

Adaptive Plan-Execute Framework for Smart Contract Security Auditing cites this paper.

Adaptive Plan-Execute Framework for Smart Contract Security Auditing Measuring short-form factuality in large language models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:14.383511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02815d34-6320-4292-86cb-a907077c71bd · inbound

Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs cites this paper.

Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs Measuring short-form factuality in large language models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:52.150225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22190d48-0f88-4f5e-bb12-f47a37c0b9ae · inbound

Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA cites this paper.

Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA Measuring short-form factuality in large language models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:44:27.490649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acbd60b6-dba9-4d11-8652-d52550417321 · inbound

RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models cites this paper.

RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models Measuring short-form factuality in large language models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T13:32:50.289751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1abe4f0-9b5d-4aef-ba9a-c2fba24a4f3d · inbound

EvolveSearch: An Iterative Self-Evolving Search Agent cites this paper.

EvolveSearch: An Iterative Self-Evolving Search Agent Measuring short-form factuality in large language models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:58.778096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc6fa950-9580-4289-92bf-3011befb0c22 · inbound

Are Reasoning Models More Prone to Hallucination? cites this paper.

Are Reasoning Models More Prone to Hallucination? Measuring short-form factuality in large language models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:32.707752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa3b2187-3169-49b8-be3f-f2d630da372e · inbound

Reconsidering LLM Uncertainty Estimation Methods in the Wild cites this paper.

Reconsidering LLM Uncertainty Estimation Methods in the Wild Measuring short-form factuality in large language models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:51.492314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce2080a2-9371-4e44-8d81-267562a7ef10 · inbound

Helpful Agent Meets Deceptive Judge: Understanding Vulnerabilities in Agentic Workflows cites this paper.

Helpful Agent Meets Deceptive Judge: Understanding Vulnerabilities in Agentic Workflows Measuring short-form factuality in large language models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:45.669134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0e4bb2c-45b7-4e5d-8659-41979ecf42d5 · inbound

Quantifying Cross-Modality Memorization in Vision-Language Models cites this paper.

Quantifying Cross-Modality Memorization in Vision-Language Models Measuring short-form factuality in large language models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:49.586262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62e5ed4e-0cb3-4a94-a314-773e22ff5983 · inbound

Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems cites this paper.

Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems Measuring short-form factuality in large language models

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-05-19T09:22:15.910547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a67319c4-9aba-48ee-a765-8ba08e47cab0 · inbound

AssertBench: A Benchmark for Evaluating Self-Assertion in Large Language Models cites this paper.

AssertBench: A Benchmark for Evaluating Self-Assertion in Large Language Models Measuring short-form factuality in large language models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:48:18.755967Z

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Observation aa04c82a-eca2-449a-a320-c53ea51779a6 · inbound

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention cites this paper.

MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention Measuring short-form factuality in large language models

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 048aff7e-4691-4cbb-89fe-1d70bc06fde9 · inbound

Deep Research Agents: A Systematic Examination And Roadmap cites this paper.

Deep Research Agents: A Systematic Examination And Roadmap Measuring short-form factuality in large language models

Reference 115

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:56.940654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4089ce7a-91ae-4ff1-a2f0-0ea4f506acc8 · inbound

Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know? cites this paper.

Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know? Measuring short-form factuality in large language models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:22.109878Z

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Observation 8a25a484-6c09-4d7d-823c-3e1bdf29f7df · inbound

Jan-nano Technical Report cites this paper.

Jan-nano Technical Report Measuring short-form factuality in large language models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:33.833633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e091268f-41eb-4008-bc86-6a39117b640e · inbound

L0: Reinforcement Learning to Become General Agents cites this paper.

L0: Reinforcement Learning to Become General Agents Measuring short-form factuality in large language models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:00.718465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 587eb515-049d-4032-a808-c06af7a2e0ba · inbound

WebSailor: Navigating Super-human Reasoning for Web Agent cites this paper.

WebSailor: Navigating Super-human Reasoning for Web Agent Measuring short-form factuality in large language models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-17T15:37:09.727529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7e007b0c-0b86-4d42-94b7-84dd4f755e1e · inbound

Establishing Best Practices for Building Rigorous Agentic Benchmarks cites this paper.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Measuring short-form factuality in large language models

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:27.263615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 949d3b7c-2feb-468e-ab0e-542558767ab6 · inbound

How Overconfidence in Initial Choices and Underconfidence Under Criticism Modulate Change of Mind in Large Language Models cites this paper.

How Overconfidence in Initial Choices and Underconfidence Under Criticism Modulate Change of Mind in Large Language Models Measuring short-form factuality in large language models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T20:25:55.431654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fbcc871-6593-478b-b69d-5ef38f14d250 · inbound

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cites this paper.

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities Measuring short-form factuality in large language models

Reference 87

Resolution: verified exact; local_arxiv, observed 2026-05-19T05:52:07.841600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c8a7c98-2fc2-429a-84e7-18a47b7acd64 · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Measuring short-form factuality in large language models

Reference 199

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:17.842336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aea26196-b430-4ef0-bc43-bcd375bec63c · inbound

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization cites this paper.

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization Measuring short-form factuality in large language models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T15:55:42.587682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 469bc87b-11d9-4711-8630-64820a91cc2e · inbound

RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation cites this paper.

RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation Measuring short-form factuality in large language models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T17:54:29.262992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02b01546-0239-435a-a083-f9976411cbf7 · inbound

Kimi K2: Open Agentic Intelligence cites this paper.

Kimi K2: Open Agentic Intelligence Measuring short-form factuality in large language models

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3d62732f-eedf-4992-90d0-6df84b72ea84 · inbound

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning cites this paper.

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning Measuring short-form factuality in large language models

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T04:47:25.277099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c39e5ee-23a0-4633-9785-eaa81364b574 · inbound

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

Overconfidence in LLM-as-a-Judge: Diagnosis and Confidence-Driven Solution Measuring short-form factuality in large language models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T22:54:25.574191Z

Source-reported events for the cited work

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Observation ef6ec15e-a4ab-4d7a-8305-06bccb3321e2 · inbound

Rethinking Prospect Theory for LLMs: Revealing the Instability of Decision-Making under Epistemic Uncertainty cites this paper.

Rethinking Prospect Theory for LLMs: Revealing the Instability of Decision-Making under Epistemic Uncertainty Measuring short-form factuality in large language models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T17:36:49.146226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 914e4dc4-33d4-4f3d-9017-87ea06285be2 · inbound

SSRL: Self-Search Reinforcement Learning cites this paper.

SSRL: Self-Search Reinforcement Learning Measuring short-form factuality in large language models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T20:17:12.901494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aeba49c-029e-42aa-bf11-55bf1c781dce · inbound

Search-Time Data Contamination cites this paper.

Search-Time Data Contamination Measuring short-form factuality in large language models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T21:08:06.044958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cc5c784-86cf-42bb-8fe8-8a4622da8dc3 · inbound

MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents cites this paper.

MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents Measuring short-form factuality in large language models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T20:18:58.169572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6bd90e3-7244-4700-9910-041f1c89fc39 · inbound

Hallucinations in medical devices cites this paper.

Hallucinations in medical devices Measuring short-form factuality in large language models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T17:20:17.413030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9f21bba-2b91-4da7-a383-e50b111deb34 · inbound

UQ: Assessing Language Models on Unsolved Questions cites this paper.

UQ: Assessing Language Models on Unsolved Questions Measuring short-form factuality in large language models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T17:07:19.840580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2368bc24-3900-4dc0-b95f-49b04e3dff55 · inbound

Hermes 4 Technical Report cites this paper.

Hermes 4 Technical Report Measuring short-form factuality in large language models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T16:32:54.645316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f988073-9cb7-44ec-84ec-b22e5cb22be2 · inbound

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models Measuring short-form factuality in large language models

Reference 231

Resolution: unresolved; no resolver link, observed 2026-08-05T10:39:08.083052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 798a97a3-3e8d-496f-93ff-410cba03e8bd · inbound

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference cites this paper.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference Measuring short-form factuality in large language models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T22:03:02.053966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e905bff6-e959-490e-b8ce-1316b2089016 · inbound

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Measuring short-form factuality in large language models

Reference 184

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:43.663112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4020a24b-881d-4602-b6f1-a03f5b034ae3 · inbound

Task-Dependent Evaluation of LLM Output Homogenization: A Taxonomy-Guided Framework cites this paper.

Task-Dependent Evaluation of LLM Output Homogenization: A Taxonomy-Guided Framework Measuring short-form factuality in large language models

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-18T13:36:24.970158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f5b3aea6-6b39-4bab-8574-fed944a3d09e · inbound

Evidence for Limited Metacognition in LLMs cites this paper.

Evidence for Limited Metacognition in LLMs Measuring short-form factuality in large language models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T15:51:23.756907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1364c78-bb7a-499e-8e71-cc8a28e1d0b7 · inbound

SafeSearch: Automated Red-Teaming of LLM-Based Search Agents cites this paper.

SafeSearch: Automated Red-Teaming of LLM-Based Search Agents Measuring short-form factuality in large language models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:54.380028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbbefafa-2783-4855-b415-739d359bdbca · inbound

ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations cites this paper.

ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations Measuring short-form factuality in large language models

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-18T12:56:24.448221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3ac914c7-b7e5-420e-b1ce-7faa668ab44e · inbound

Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity cites this paper.

Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity Measuring short-form factuality in large language models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T13:23:15.694081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97876d2a-cfe0-490c-ac01-79b929618d3d · inbound

Comprehensiveness Metrics for Automatic Evaluation of Factual Recall in Text Generation cites this paper.

Comprehensiveness Metrics for Automatic Evaluation of Factual Recall in Text Generation Measuring short-form factuality in large language models

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T09:21:10.034000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f511b76f-0bb3-42c2-b79c-fa37532d1217 · inbound

MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning cites this paper.

MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning Measuring short-form factuality in large language models

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-18T01:00:34.635162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 93d143fb-9a73-43a2-99fa-750dbff1eeb8 · inbound

DVPO: Distributional Value Modeling-based Policy Optimization for LLM Post-Training cites this paper.

DVPO: Distributional Value Modeling-based Policy Optimization for LLM Post-Training Measuring short-form factuality in large language models

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T01:48:51.115403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 55bdf1dc-13d7-4401-86db-cdc67205a95f · inbound

FaithLens: Detecting and Explaining Faithfulness Hallucination cites this paper.

FaithLens: Detecting and Explaining Faithfulness Hallucination Measuring short-form factuality in large language models

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T20:48:32.840198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a7d60c3f-986a-4584-8259-9f8bc4885468 · inbound

Toward Efficient Agents: Memory, Tool learning, and Planning cites this paper.

Toward Efficient Agents: Memory, Tool learning, and Planning Measuring short-form factuality in large language models

Reference 143

Resolution: unresolved; no resolver link, observed 2026-08-03T09:21:44.748564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b357cec-c250-49d0-888a-0fc47f7957ec · inbound

Safety Alignment as Continual Learning: Mitigating the Alignment Tax via Orthogonal Gradient Projection cites this paper.

Safety Alignment as Continual Learning: Mitigating the Alignment Tax via Orthogonal Gradient Projection Measuring short-form factuality in large language models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-16T06:40:42.368628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a297ef69-a840-4ca6-819d-3cb75e057804 · inbound

Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality cites this paper.

Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality Measuring short-form factuality in large language models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T23:23:47.218315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7113c071-720d-410b-98c3-0ac1ed7a4add · inbound

VeRO: A Harness for Agents to Optimize Agents cites this paper.

VeRO: A Harness for Agents to Optimize Agents Measuring short-form factuality in large language models

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:06:30.922205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 386a46fc-88ef-475e-9678-b9d8aa9a06a8 · inbound

VeRO: A Harness for Agents to Optimize Agents cites this paper.

VeRO: A Harness for Agents to Optimize Agents Measuring short-form factuality in large language models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T20:45:12.868399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b68bec0-229f-4a02-9f4f-391effcf86e5 · inbound

Evaluating the Search Agent in a Parallel World cites this paper.

Evaluating the Search Agent in a Parallel World Measuring short-form factuality in large language models

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-15T17:06:19.298161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 32cf9a80-4bcd-4f27-a22d-0d418fa8025e · inbound

CounterRefine: Answer-Conditioned Counterevidence Retrieval for Inference-Time Knowledge Repair in Factual Question Answering cites this paper.

CounterRefine: Answer-Conditioned Counterevidence Retrieval for Inference-Time Knowledge Repair in Factual Question Answering Measuring short-form factuality in large language models

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T10:45:28.268236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 788adcf4-e859-4442-9671-ee9ca90b2319 · inbound

CounterRefine: Answer-Conditioned Counterevidence Retrieval for Inference-Time Knowledge Repair in Factual Question Answering cites this paper.

CounterRefine: Answer-Conditioned Counterevidence Retrieval for Inference-Time Knowledge Repair in Factual Question Answering Measuring short-form factuality in large language models

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T10:40:00.640012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a2229f91-e9b7-4dba-96af-229625db583b · inbound

Causal Evidence that Language Models use Confidence to Drive Behavior cites this paper.

Causal Evidence that Language Models use Confidence to Drive Behavior Measuring short-form factuality in large language models

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-21T09:44:05.701288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4b1d43f9-c86c-4653-a431-9f3582fddad2 · inbound

JoyAI-LLM Flash: Advancing Mid-Scale LLMs with Token Efficiency cites this paper.

JoyAI-LLM Flash: Advancing Mid-Scale LLMs with Token Efficiency Measuring short-form factuality in large language models

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation add04dd0-fd88-49ac-be44-615bf3e0d692 · inbound

BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence cites this paper.

BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence Measuring short-form factuality in large language models

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6f1f69cb-644f-4225-a192-52cc1e7c0bac · inbound

Swiss-Bench 003: Evaluating LLM Reliability and Adversarial Security for Swiss Regulatory Contexts cites this paper.

Swiss-Bench 003: Evaluating LLM Reliability and Adversarial Security for Swiss Regulatory Contexts Measuring short-form factuality in large language models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 229362ad-4062-43b4-8c5e-90a43240ac8c · inbound

A 4.5-s Quasiperiodic Spectral Oscillation in GRB 230307A: Evidence for Free Precession of a Post-Merger Magnetar? cites this paper.

A 4.5-s Quasiperiodic Spectral Oscillation in GRB 230307A: Evidence for Free Precession of a Post-Merger Magnetar? Measuring short-form factuality in large language models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T08:50:25.297894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5238890d-d710-452f-9bb8-ca9e4d8c3946 · inbound

WRAP++: Web discoveRy Amplified Pretraining cites this paper.

WRAP++: Web discoveRy Amplified Pretraining Measuring short-form factuality in large language models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 723a4754-b539-4ee9-bc35-f07de6b59ffe · inbound

EigentSearch-Q+: Enhancing Deep Research Agents with Structured Reasoning Tools cites this paper.

EigentSearch-Q+: Enhancing Deep Research Agents with Structured Reasoning Tools Measuring short-form factuality in large language models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2ae13732-9bc1-4e47-80d3-7f75f4dc0e1e · inbound

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts cites this paper.

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts Measuring short-form factuality in large language models

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fde4d85a-3be9-45c8-b692-2c6466ec65b3 · inbound

NameBERT: Scaling Name-Based Nationality Classification with LLM-Augmented Open Academic Data cites this paper.

NameBERT: Scaling Name-Based Nationality Classification with LLM-Augmented Open Academic Data Measuring short-form factuality in large language models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ef92f343-9186-4aa2-9ca9-cc9c782cc1c9 · inbound

Evaluation of Agents under Simulated AI Marketplace Dynamics cites this paper.

Evaluation of Agents under Simulated AI Marketplace Dynamics Measuring short-form factuality in large language models

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 028e7c5d-9756-45f9-a819-3c3b406f4482 · inbound

Purging the Gray Zone: Latent-Geometric Denoising for Precise Knowledge Boundary Awareness cites this paper.

Purging the Gray Zone: Latent-Geometric Denoising for Precise Knowledge Boundary Awareness Measuring short-form factuality in large language models

Reference 2

Resolution: malformed identifier; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9482e1b5-5561-4b94-a68c-53a3a6ac47a5 · inbound

Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization cites this paper.

Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization Measuring short-form factuality in large language models

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f5489cfc-c2c2-4505-be68-a2ec1ca315ca · inbound

Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification cites this paper.

Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification Measuring short-form factuality in large language models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5ee285da-fd08-480d-8e6a-cbff23dd7b43 · inbound

Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts cites this paper.

Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts Measuring short-form factuality in large language models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5b4f3514-d817-4d72-941f-a328a3f31c3f · inbound

Beyond Reasoning: Reinforcement Learning Unlocks Parametric Knowledge in LLMs cites this paper.

Beyond Reasoning: Reinforcement Learning Unlocks Parametric Knowledge in LLMs Measuring short-form factuality in large language models

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8e7acf7a-549b-4526-87ad-78e0b6b4aa1a · inbound

Decomposing and Steering Functional Metacognition in Large Language Models cites this paper.

Decomposing and Steering Functional Metacognition in Large Language Models Measuring short-form factuality in large language models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a57e9cde-7286-4fc0-ba53-d4e9438e3776 · inbound

StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs cites this paper.

StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs Measuring short-form factuality in large language models

Reference 114

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a6656881-6328-40e3-83a1-43915dcbad09 · inbound

StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs cites this paper.

StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs Measuring short-form factuality in large language models

Reference 114

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8b047e32-67c3-40f2-9d40-2476e6d911a7 · inbound

Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery cites this paper.

Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery Measuring short-form factuality in large language models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.345693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0c08e022-3462-46bc-86c8-7584a815ff6a · inbound

Improving Multi-turn Dialogue Consistency with Self-Recall Thinking cites this paper.

Improving Multi-turn Dialogue Consistency with Self-Recall Thinking Measuring short-form factuality in large language models

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T20:25:02.538160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 33c0abc2-b2b2-4c64-a5b4-055b5769488f · inbound

AgentStop: Terminating Local AI Agents Early to Save Energy in Consumer Devices cites this paper.

AgentStop: Terminating Local AI Agents Early to Save Energy in Consumer Devices Measuring short-form factuality in large language models

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-19T16:37:39.619062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.