Paper Citation Record · LEDGER

Establishing Best Practices for Building Rigorous Agentic Benchmarks

As of 20 August 2026, this Paper Citation Record lists 100 of 118 outbound references and 37 inbound Pith citation observations for arXiv:2507.02825.

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

pith.paper-citation-record.v1
2507.02825 v5

Coverage vector

measured 100 of 118 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:24:29.338123Z

measured 137 of 137 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:19:14.004821Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T22:08:59.930877Z

Reference resolution

100 of 118 outbound references displayed

verified exact0
verified fuzzy27
unresolved73
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 498da9e5-9da9-4859-a1f0-e2235cb99aaf · outbound

This paper cites Inspect AI: Framework for Large Language Model Evaluations, 2024.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Inspect AI: Framework for Large Language Model Evaluations, 2024

Reference 1

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Observation 5aea9622-5a6f-4b7e-87c6-96ad04a561b7 · outbound

This paper cites Gpt code editing benchmarks, 2024.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Gpt code editing benchmarks, 2024

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:19.643317Z

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Observation e9a79027-ed54-47d7-a5ac-f01f5ccc7ccb · outbound

This paper cites o1 tops aider’s new polyglot leaderboard, 2024.

Establishing Best Practices for Building Rigorous Agentic Benchmarks o1 tops aider’s new polyglot leaderboard, 2024

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:19.860736Z

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Observation 0b486f1a-5d0e-437d-962b-35608d837b1b · outbound

This paper cites The amazon nova family of models: Technical report and model card, 2024.

Establishing Best Practices for Building Rigorous Agentic Benchmarks The amazon nova family of models: Technical report and model card, 2024

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:20.062843Z

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Observation 1d636119-8fda-4571-83bd-dc153e8716cd · outbound

This paper cites Claude 3.5 sonnet, 2024.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Claude 3.5 sonnet, 2024

Reference 5

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Observation 1623b2cf-dbaa-48cb-80e9-ba7df2364368 · outbound

This paper cites Claude 3.7 and claude code, 2025.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Claude 3.7 and claude code, 2025

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:20.342592Z

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Observation d89439eb-2c9e-43cd-86d2-2223c0d8a01d · outbound

This paper cites Bird minidev - corrections, 2024.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Bird minidev - corrections, 2024

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:20.521292Z

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Observation 59767821-da00-4625-abeb-e8755f7f14cf · outbound

This paper cites Program Synthesis with Large Language Models.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Program Synthesis with Large Language Models

Reference 8

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Observation eb83d160-535e-4026-9385-50edf7de0464 · outbound

This paper cites LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks.

Establishing Best Practices for Building Rigorous Agentic Benchmarks LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:20.815544Z

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Observation 58917dc5-a8db-4654-8d3a-2a65a00bfc8e · outbound

This paper cites Code Benchmarks Should Prioritize Rigor, Reliability, and Reproducibility.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Code Benchmarks Should Prioritize Rigor, Reliability, and Reproducibility

Reference 10

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Observation c3080b94-bee8-43c4-a758-4a0b10a01473 · outbound

This paper cites MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering.

Establishing Best Practices for Building Rigorous Agentic Benchmarks MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering

Reference 11

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Observation 260b815f-fb0f-4913-ab43-8dc7a875ea78 · outbound

This paper cites AutoAgents: A Framework for Automatic Agent Generation.

Establishing Best Practices for Building Rigorous Agentic Benchmarks AutoAgents: A Framework for Automatic Agent Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:21.195372Z

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Observation 5bccefc2-874b-4a7b-9091-43df7c83c51c · outbound

This paper cites an unresolved cited work.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Unresolved cited work

Reference 13

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Observation 78deee31-97dc-42af-af85-ad8058691468 · outbound

This paper cites Jimenez, John Yang, Leyton Ho, Tejal Patwardhan, Kevin Liu, and Aleksander Madry.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Jimenez, John Yang, Leyton Ho, Tejal Patwardhan, Kevin Liu, and Aleksander Madry

Reference 14

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Observation 0a80de66-d368-488c-ac16-16624a5bda46 · outbound

This paper cites Introducing deepseek v3, 2024.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Introducing deepseek v3, 2024

Reference 15

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Observation 7c7a4f70-66f9-45fb-8a76-6496e199b5b6 · outbound

This paper cites Imagenet: A large- scale hierarchical image database.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Imagenet: A large- scale hierarchical image database

Reference 16

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Observation 3e3cf797-2521-4f5a-9c09-cc752903aa01 · outbound

This paper cites Don’t label twice: Quantity beats quality when comparing binary classifiers on a budget.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Don’t label twice: Quantity beats quality when comparing binary classifiers on a budget

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:21.733040Z

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Observation 9f23249f-8e95-4619-8525-f6f7f568a9a5 · outbound

This paper cites Limits to scalable evaluation at the frontier: Llm as judge won’t beat twice the data.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Limits to scalable evaluation at the frontier: Llm as judge won’t beat twice the data

Reference 18

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Observation 03881fb7-d8f6-4f03-b3eb-8aae63ca2da1 · outbound

This paper cites The design and operation of CloudLab.

Establishing Best Practices for Building Rigorous Agentic Benchmarks The design and operation of CloudLab

Reference 19

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Observation 06be70c0-2a6c-4b6d-9947-589ce3f0d3ab · outbound

This paper cites Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation

Reference 20

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Observation b9413ed1-7af1-4651-a911-5f97e31cd44d · outbound

This paper cites Searching for computer vision north stars.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Searching for computer vision north stars

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:22.076812Z

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Observation 2fc04ec4-6484-4b78-9075-bd038d42f644 · outbound

This paper cites FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI.

Establishing Best Practices for Building Rigorous Agentic Benchmarks FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI

Reference 22

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Observation 9d379cf5-0b6c-4177-a756-93c27c27eeeb · outbound

This paper cites A classification of sql injection attacks and countermeasures.

Establishing Best Practices for Building Rigorous Agentic Benchmarks A classification of sql injection attacks and countermeasures

Reference 23

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Observation 4706c5b4-9b26-4c38-8cf0-7db4d811c7d3 · outbound

This paper cites More than marketing? on the information value of ai benchmarks for practitioners.

Establishing Best Practices for Building Rigorous Agentic Benchmarks More than marketing? on the information value of ai benchmarks for practitioners

Reference 24

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Observation 8e102cf6-4a50-42e7-9ccf-abe7fefd4706 · outbound

This paper cites WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models.

Establishing Best Practices for Building Rigorous Agentic Benchmarks WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models

Reference 25

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Observation fdc8141c-a335-4548-9956-ecba7fc35208 · outbound

This paper cites The extent and consequences of p-hacking in science.

Establishing Best Practices for Building Rigorous Agentic Benchmarks The extent and consequences of p-hacking in science

Reference 26

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Observation 36a63e39-97b0-4b90-995f-a6e0a43c8980 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Measuring Massive Multitask Language Understanding

Reference 27

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Observation 638e800b-6160-41d1-ba91-ddee087bb69f · outbound

This paper cites The design and analysis of benchmark experiments.

Establishing Best Practices for Building Rigorous Agentic Benchmarks The design and analysis of benchmark experiments

Reference 28

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Observation add6f924-0680-4f83-94e7-1440ddcdaba8 · outbound

This paper cites Preventing server-side request forgery attacks.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Preventing server-side request forgery attacks

Reference 29

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Observation 6739a092-f9f4-4199-be3a-b4940e5bab8f · outbound

This paper cites Swe-bench: Can language models resolve real-world github issues? In ICLR, 2024.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Swe-bench: Can language models resolve real-world github issues? In ICLR, 2024

Reference 30

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Observation 79952336-47d2-4a0e-a240-a8843eeec48a · outbound

This paper cites Swe-bench verified leaderboard, 2025.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Swe-bench verified leaderboard, 2025

Reference 31

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Observation 9be6db01-506c-4190-b663-1296790ee689 · outbound

This paper cites AI Agents That Matter.

Establishing Best Practices for Building Rigorous Agentic Benchmarks AI Agents That Matter

Reference 32

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Observation 122680c8-e8f9-4bcd-9ecf-6ea0d54319ac · outbound

This paper cites Gemini 2.0 is now available to everyone, 2025.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Gemini 2.0 is now available to everyone, 2025

Reference 33

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Observation 1c028daa-0318-4b18-9949-f93bc0f69941 · outbound

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Math-verify, 2025

Reference 34

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This paper cites The ai cuda engineer: Agentic cuda kernel discovery, optimization and composition.

Establishing Best Practices for Building Rigorous Agentic Benchmarks The ai cuda engineer: Agentic cuda kernel discovery, optimization and composition

Reference 35

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This paper cites Challenges of end-to-end testing with selenium webdriver and how to face them: A survey.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Challenges of end-to-end testing with selenium webdriver and how to face them: A survey

Reference 36

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls

Reference 37

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Leveraging large language models for nlg evaluation: Advances and challenges

Reference 38

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Let’s verify step by step

Reference 39

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Swiftsage: A generative agent with fast and slow thinking for complex interactive tasks

Reference 40

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This paper cites Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence

Reference 41

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Introducing llama 3.1: Our most capable models to date, 2024

Reference 42

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Llama 3.2: Revolutionizing edge ai and vision with open, customizable models, 2024

Reference 43

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Evaluating language-model agents on realistic autonomous tasks, 2023

Reference 44

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Example protocol for running an ai agent evaluation, 2024

Reference 45

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Measuring automated kernel engineering, 2025

Reference 46

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Gaia: a benchmark for general ai assistants

Reference 47

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Establishing Best Practices for Building Rigorous Agentic Benchmarks SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?

Reference 48

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Mixtral large 2, 2024

Reference 49

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Preparedness framework (beta), 2023

Reference 50

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Gpt-4o system card, 2024

Reference 51

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Openai o1 system card, 2024

Reference 52

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Openai o1-mini, 2024

Reference 53

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Gpt-4o mini: advancing cost-efficient intelligence, 2025

Reference 54

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Observation aa6d0ab7-267f-4046-9da4-9fa7af0b1d45 · outbound

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Computer-user agent, 2025

Reference 55

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This paper cites Introducing deep research, 2025.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Introducing deep research, 2025

Reference 56

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Establishing Best Practices for Building Rigorous Agentic Benchmarks Introducing gpt-4.5, 2025

Reference 57

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Observation 70b51f70-1084-44d1-a578-b7718c45ae58 · outbound

This paper cites Openai o3-mini, 2025.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Openai o3-mini, 2025

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3e8824d-5612-467b-953a-585dfe728c2a · outbound

This paper cites Kernelbench: Can llms write efficient gpu kernels? In ICLR 2025 Third Workshop on Deep Learning for Code (Best paper award), 2025.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Kernelbench: Can llms write efficient gpu kernels? In ICLR 2025 Third Workshop on Deep Learning for Code (Best paper award), 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:39.204719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e6cdc13f-34aa-4119-84d2-630125c893d2 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Bleu: a method for automatic evaluation of machine translation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:25.597919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 936e1ddd-4052-4ee0-884d-8a68c49e34e3 · outbound

This paper cites A survey of flaky tests.

Establishing Best Practices for Building Rigorous Agentic Benchmarks A survey of flaky tests

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:39.047902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fba94f27-761d-4acd-a0d0-017ad16ac8c7 · outbound

This paper cites Evaluating Cross-Domain Text-to-SQL Models and Benchmarks.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Evaluating Cross-Domain Text-to-SQL Models and Benchmarks

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:25.823326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99e58958-ce9a-4adf-b53e-55b5051e5786 · outbound

This paper cites CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings.

Establishing Best Practices for Building Rigorous Agentic Benchmarks CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:25.910315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f260b87-08dc-41ae-bf50-586b86aefa6f · outbound

This paper cites Ai and the everything in the whole wide world benchmark.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Ai and the everything in the whole wide world benchmark

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:38.849661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7a9bd51b-a180-4b3e-a5cb-1f3ab7cd18ad · outbound

This paper cites Betterbench: Assessing ai benchmarks, uncovering issues, and establishing best practices.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Betterbench: Assessing ai benchmarks, uncovering issues, and establishing best practices

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:38.647334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c2b8a5e-347e-4952-a339-46d484dbfae8 · outbound

This paper cites Analysis and testing of web applications.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Analysis and testing of web applications

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:38.455331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8bfbeba8-34bc-4404-8c84-a03a88d22991 · outbound

This paper cites A survey of unit testing practices.

Establishing Best Practices for Building Rigorous Agentic Benchmarks A survey of unit testing practices

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:38.245734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation adff7b59-e754-4dd2-b0e6-4130982c848a · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36:8634–8652, 2023.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36:8634–8652, 2023

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:38.017958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 100925d5-acb5-4e73-a608-94591c4751d9 · outbound

This paper cites Strengthening ai agent hijacking eval- uations, 2025.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Strengthening ai agent hijacking eval- uations, 2025

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:37.816267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e2b3a539-22ca-43d0-911a-53dc5759bb66 · outbound

This paper cites Inference scaling flaws: The limits of llm resampling with imperfect verifiers.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Inference scaling flaws: The limits of llm resampling with imperfect verifiers

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:26.559726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42f6f29f-a16c-448e-bbd4-d2fa8b248c44 · outbound

This paper cites Worldcoder, a model-based llm agent: Building world models by writing code and interacting with the environment.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Worldcoder, a model-based llm agent: Building world models by writing code and interacting with the environment

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:37.604621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7b3638e3-ecb7-4851-8325-2d8cc4dc018b · outbound

This paper cites End-to-end integration testing design.

Establishing Best Practices for Building Rigorous Agentic Benchmarks End-to-end integration testing design

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:37.334722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a43f2b5b-cef1-4b2c-8f52-c4192b29f12c · outbound

This paper cites From imagenet to image classification: Contextualizing progress on benchmarks.

Establishing Best Practices for Building Rigorous Agentic Benchmarks From imagenet to image classification: Contextualizing progress on benchmarks

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:37.019808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fb92c734-fafe-4a5f-ba81-1a2c4dfd05a2 · outbound

This paper cites Introducing v0.5 of the AI Safety Benchmark from MLCommons.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Introducing v0.5 of the AI Safety Benchmark from MLCommons

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:26.965009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a0fea27-b91a-4cf4-abb1-cb3662ed0c6d · outbound

This paper cites Evaluate & evaluation on the hub: Better best practices for data and model measurements.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Evaluate & evaluation on the hub: Better best practices for data and model measurements

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:36.730961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bfecfd29-8d68-491c-9243-8e1afe8547f4 · outbound

This paper cites Structured testing: A testing methodology using the cyclomatic complexity metric, volume 500.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Structured testing: A testing methodology using the cyclomatic complexity metric, volume 500

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:36.494484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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

This paper cites Measuring short-form factuality in large language models.

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 1211ce8f-51ba-4ab2-9e95-f279f69a42df · outbound

This paper cites LiveBench: A Challenging, Contamination-Limited LLM Benchmark.

Establishing Best Practices for Building Rigorous Agentic Benchmarks LiveBench: A Challenging, Contamination-Limited LLM Benchmark

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:27.342525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36100b82-0a6a-453d-8fd8-7252d4bb2915 · outbound

This paper cites RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts.

Establishing Best Practices for Building Rigorous Agentic Benchmarks RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:27.421486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f034431a-346d-4b7d-a505-30bc5b871529 · outbound

This paper cites Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:27.539316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f10c0ec6-4971-4d89-a801-e30fc1a929be · outbound

This paper cites Grok 2 beta release, 2024.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Grok 2 beta release, 2024

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:36.319408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d6ebfa40-b878-4f3b-9a60-21e7ff5c8832 · outbound

This paper cites Grok 3 beta — the age of reasoning agents, 2024.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Grok 3 beta — the age of reasoning agents, 2024

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:36.151243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9792836c-6497-490d-afd8-dc95cbbf3c57 · outbound

This paper cites Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:27.822200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4bb5d99-1118-437a-a708-e2affa5fc08c · outbound

This paper cites Swe-agent: Agent-computer interfaces enable automated software engineering.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Swe-agent: Agent-computer interfaces enable automated software engineering

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:27.927688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c8fb028-6fbe-4b09-90f3-b6b4cf0f194d · outbound

This paper cites React: Synergizing reasoning and acting in language models.

Establishing Best Practices for Building Rigorous Agentic Benchmarks React: Synergizing reasoning and acting in language models

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:27.984396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 198fd22f-9441-476c-a031-85aa2f20fae5 · outbound

This paper cites tau-bench: A bench- mark for tool-agent-user interaction in real-world domains.

Establishing Best Practices for Building Rigorous Agentic Benchmarks tau-bench: A bench- mark for tool-agent-user interaction in real-world domains

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:35.992119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d949f052-c124-4d97-82f6-19578d246cb3 · outbound

This paper cites Utboost: Rigorous evaluation of coding agents on swe-bench.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Utboost: Rigorous evaluation of coding agents on swe-bench

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:35.844195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1a034863-6f59-44c1-a9f0-367e722d3b8b · outbound

This paper cites Evaluating large language models at evaluating instruction following.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Evaluating large language models at evaluating instruction following

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:35.693140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cb576ed1-53fe-4da0-ab9c-9c13e0aa1f7e · outbound

This paper cites Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:28.287235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 684b05ef-1caf-4548-8578-8538f64cf57d · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:28.350185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11652142-6a23-4b3c-b5d8-bee15e27fe51 · outbound

This paper cites Don't Make Your LLM an Evaluation Benchmark Cheater.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:28.438581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4171e63d-1c90-405f-bfc6-697c68ccd494 · outbound

This paper cites X-webarena-leaderboard,.

Establishing Best Practices for Building Rigorous Agentic Benchmarks X-webarena-leaderboard,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:35.549044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ef5223c0-1a4a-4a77-9b95-a4220eb1bba5 · outbound

This paper cites Webarena: A realistic web environment for build- ing autonomous agents.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Webarena: A realistic web environment for build- ing autonomous agents

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:35.173406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2e34b126-d2fb-4384-ab41-5e41bc211521 · outbound

This paper cites Software unit test coverage and adequacy.Acm computing surveys (csur), 29(4):366–427, 1997.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Software unit test coverage and adequacy.Acm computing surveys (csur), 29(4):366–427, 1997

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:28.775241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 221e343c-f593-4261-8244-8f2cd2d7c753 · outbound

This paper cites Fuzzing: a survey for roadmap.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Fuzzing: a survey for roadmap

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:35.002208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a67a9fdf-6975-4f4b-8497-98a52fbdd8aa · outbound

This paper cites CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities.

Establishing Best Practices for Building Rigorous Agentic Benchmarks CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:28.958503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e183348-8063-425d-854b-dd8490835ce7 · outbound

This paper cites Agent-as-a-Judge: Evaluate Agents with Agents.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Agent-as-a-Judge: Evaluate Agents with Agents

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:29.053233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f002e32b-3947-4bee-b6a8-e09f77291753 · outbound

This paper cites Can large language models transform computational social science? Computational Linguistics, 50 (1):237–291, 2024.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Can large language models transform computational social science? Computational Linguistics, 50 (1):237–291, 2024

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:34.833066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8e8f9bf9-c634-4687-8e2a-6c2be41be038 · outbound

This paper cites an unresolved cited work.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:24:34.697054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 60fb9d5b-7a52-4cc3-9cd7-7be29b252f51 · outbound

This paper cites an unresolved cited work.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Unresolved cited work

Reference 101

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:24:34.520858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 66ecafb5-6e96-4e31-a056-9461b2744708 · inbound

Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces cites this paper.

Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:37:07.992049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a6403359-918a-4741-a1f5-4ba21eaec78d · inbound

SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents cites this paper.

SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 80

Resolution: unresolved; no resolver link, observed 2026-07-13T15:55:53.399860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb12bd46-df97-4812-ba29-41819a3a7b8b · inbound

SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents cites this paper.

SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-02T17:09:18.219867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65b39ab3-2771-400f-8549-74a87ee7986f · inbound

From Governance Norms to Enforceable Controls: A Layered Translation Method for Runtime Guardrails in Agentic AI cites this paper.

From Governance Norms to Enforceable Controls: A Layered Translation Method for Runtime Guardrails in Agentic AI Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:55:51.819572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c1e2136b-abc8-4404-9894-f3aec855f5b5 · inbound

Beyond Task Success: An Evidence-Synthesis Framework for Evaluating, Governing, and Orchestrating Agentic AI cites this paper.

Beyond Task Success: An Evidence-Synthesis Framework for Evaluating, Governing, and Orchestrating Agentic AI Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:06:18.917983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d47897a7-e545-4666-9bff-02f2187ace23 · inbound

BioVeil MATRIX: Uncovering and categorizing vulnerabilities of agentic biological AI scientists cites this paper.

BioVeil MATRIX: Uncovering and categorizing vulnerabilities of agentic biological AI scientists Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:26:08.439353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0890bdcf-531d-43e4-ab67-24038f357d5b · inbound

TeamBench: Evaluating Agent Coordination under Enforced Role Separation cites this paper.

TeamBench: Evaluating Agent Coordination under Enforced Role Separation Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:00:55.552635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 33d5ddc6-5eda-4558-8d43-3812ad576fee · inbound

SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios cites this paper.

SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-11T02:20:54.825579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 20d96c9f-295e-4276-9f73-5c280b826463 · inbound

SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios cites this paper.

SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:49:29.231213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 852088d3-e55a-41cd-be32-2580980085b6 · inbound

SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios cites this paper.

SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-03T00:18:46.882265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de977e8c-5c6c-438f-9eed-76228711bbfc · inbound

PYTHALAB-MERA: Validation-Grounded Memory, Retrieval, and Acceptance Control for Frozen-LLM Coding Agents cites this paper.

PYTHALAB-MERA: Validation-Grounded Memory, Retrieval, and Acceptance Control for Frozen-LLM Coding Agents Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:21:26.103689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 927faacd-9882-41fd-a98c-8bd197aaf590 · inbound

Can Agent Benchmarks Support Their Scores? Evidence-Supported Bounds for Interactive-Agent Evaluation cites this paper.

Can Agent Benchmarks Support Their Scores? Evidence-Supported Bounds for Interactive-Agent Evaluation Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:41:24.002297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 54fc18c7-13b3-4f01-ba8a-8a9115d6c13d · inbound

Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack cites this paper.

Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 68

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:32:56.775266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 439b1478-b2b6-49fe-b683-513b6b3c67d9 · inbound

SWE-Cycle: Benchmarking Code Agents across the Complete Issue Resolution Cycle cites this paper.

SWE-Cycle: Benchmarking Code Agents across the Complete Issue Resolution Cycle Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-14T18:37:35.612990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d7d74fb1-4748-4cab-b90e-c60c8b55a756 · inbound

Collider-Bench: Benchmarking AI Agents with Particle Physics Analysis Reproduction cites this paper.

Collider-Bench: Benchmarking AI Agents with Particle Physics Analysis Reproduction Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T06:05:06.699293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b70d3b7a-b3ad-4582-9902-4c5ae2cc26c9 · inbound

SynAE: A Framework for Measuring the Quality of Synthetic Data for Tool-Calling Agent Evaluations cites this paper.

SynAE: A Framework for Measuring the Quality of Synthetic Data for Tool-Calling Agent Evaluations Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:26:09.995466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 222d5930-73f8-4e41-83f8-2218daa2ec88 · inbound

Measuring Security Without Fooling Ourselves: Why Benchmarking Agents Is Hard cites this paper.

Measuring Security Without Fooling Ourselves: Why Benchmarking Agents Is Hard Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:04:37.290934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fea22811-59c0-4626-9166-913c7c9b35e2 · inbound

Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety cites this paper.

Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:51:07.934723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a6c31d99-04db-4f81-9ad6-23df445ec369 · inbound

Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety cites this paper.

Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:06:43.120173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5ce31bad-c793-4d0b-9344-a1c96088f20e · inbound

CyberEvolver: Structured Self-Evolution for Cybersecurity Agents On the Fly cites this paper.

CyberEvolver: Structured Self-Evolution for Cybersecurity Agents On the Fly Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:23:58.970057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f77ef2c1-260a-4d68-925f-e5722106874f · inbound

Anchor: Mitigating Artifact Drift in Agent Benchmark Generation cites this paper.

Anchor: Mitigating Artifact Drift in Agent Benchmark Generation Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 21

Resolution: malformed identifier; arxiv_id, observed 2026-06-29T21:33:59.135091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 366d0cce-affa-4028-baef-5e83e2554545 · inbound

Human oversight of agentic systems in practice: Examining the oversight work, challenges, and heuristics of developers using software agents cites this paper.

Human oversight of agentic systems in practice: Examining the oversight work, challenges, and heuristics of developers using software agents Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 157

Resolution: verified exact; arxiv_id, observed 2026-07-02T10:36:52.845154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9390dd14-4f0c-450d-b790-a0e734359b67 · inbound

AI Sandboxes: A Threat Model, Taxonomy, and Measurement Framework cites this paper.

AI Sandboxes: A Threat Model, Taxonomy, and Measurement Framework Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 167

Resolution: verified exact; arxiv_id, observed 2026-07-03T22:08:59.932826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 99f7b5c4-9deb-474e-9b48-e3d3354158c1 · inbound

SLBench: Evaluating How LLM Agents Follow Logical Relations in Skills cites this paper.

SLBench: Evaluating How LLM Agents Follow Logical Relations in Skills Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T00:59:52.952364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad9430a8-1636-4380-a69e-32bdca129aca · inbound

Precise but Uncoupled: Reviewer Precision Does Not Guarantee Critique Uptake in Multi-Agent Math Reasoning cites this paper.

Precise but Uncoupled: Reviewer Precision Does Not Guarantee Critique Uptake in Multi-Agent Math Reasoning Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 38

Resolution: malformed identifier; no resolver link, observed 2026-08-01T23:34:10.122008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df467229-2c23-4b23-8ba3-c1307cd628b6 · inbound

KernelBench-Verified: Do LLM-Generated Kernels Actually Beat PyTorch? cites this paper.

KernelBench-Verified: Do LLM-Generated Kernels Actually Beat PyTorch? Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T10:00:38.648918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f0e28b2-9010-4193-a5c6-d8e3470bbf1a · inbound

RECEIPT: Deterministic, Reward-Hacking-Resistant Verification for White-Box Agentic XSS Discovery cites this paper.

RECEIPT: Deterministic, Reward-Hacking-Resistant Verification for White-Box Agentic XSS Discovery Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-01T15:04:09.728336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e573652e-ca9f-4e82-a458-090e7836e591 · inbound

The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems cites this paper.

The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-01T12:54:38.319817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f262067-0274-4d99-92e7-06ea467ed41a · inbound

Every Model Cheats: Prompt-Level Mitigation of Cheating on Offensive Cyber Tasks cites this paper.

Every Model Cheats: Prompt-Level Mitigation of Cheating on Offensive Cyber Tasks Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T06:49:28.621324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65fb692f-d7ab-4f20-8921-75e04f349ef3 · inbound

SeekJudge: A Practical Reward Framework for Reinforcement Learning in Computer-Use Agents cites this paper.

SeekJudge: A Practical Reward Framework for Reinforcement Learning in Computer-Use Agents Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-31T23:58:27.966370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df392865-68cb-4dc7-9285-56fc59986a67 · inbound

Automated Transcript Analysis for Detecting Flaws in Agentic Benchmarks cites this paper.

Automated Transcript Analysis for Detecting Flaws in Agentic Benchmarks Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T06:24:59.912539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 897a0c3a-b537-43ee-b4ea-d7abc981c559 · inbound

Model or Harness? An Interaction-Centric Taxonomy for Localizing Agent Failures cites this paper.

Model or Harness? An Interaction-Centric Taxonomy for Localizing Agent Failures Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T00:25:08.204255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d6a3c2d-ea8a-4eed-8871-45486bfd7d0f · inbound

LoopsBench: From Harness Engineering to Loop Engineering in Coding Agent Evaluation cites this paper.

LoopsBench: From Harness Engineering to Loop Engineering in Coding Agent Evaluation Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T00:55:48.271679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7738450d-3702-4acb-a2eb-5776ee593f3e · inbound

Measurement Without Validity: The Compounding Reliability Problem in Agentic AI Evaluation cites this paper.

Measurement Without Validity: The Compounding Reliability Problem in Agentic AI Evaluation Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T04:18:50.856828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2274c8f-1274-4080-9b81-a586d4d723cb · inbound

Measurement Without Validity: The Compounding Reliability Problem in Agentic AI Evaluation cites this paper.

Measurement Without Validity: The Compounding Reliability Problem in Agentic AI Evaluation Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T04:16:24.726546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cf16eda-132d-4502-aa08-c8cad43c3488 · inbound

The Horizon Gap: Planning, Memory, Execution, Training, and Evaluation for Long-Horizon LLM Agents cites this paper.

The Horizon Gap: Planning, Memory, Execution, Training, and Evaluation for Long-Horizon LLM Agents Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T23:01:35.480747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2b186c1-b8e7-4440-af39-d8191b3b9363 · inbound

Agent Safety Should Be a Runtime Contract cites this paper.

Agent Safety Should Be a Runtime Contract Establishing Best Practices for Building Rigorous Agentic Benchmarks

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-15T14:19:14.004821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.