Paper Citation Record · LEDGER

Toward an Evaluation Science for Generative AI Systems

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2503.05336.

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

pith.paper-citation-record.v1
2503.05336 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

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

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:44:35.042357Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f44943f3-cb76-4bfa-aeeb-bf86bf08a589 · inbound

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation cites this paper.

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Toward an Evaluation Science for Generative AI Systems

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:17.035975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00bf41d9-f51f-42f5-b628-c437707f753c · inbound

Adultification Bias in LLMs and Text-to-Image Models cites this paper.

Adultification Bias in LLMs and Text-to-Image Models Toward an Evaluation Science for Generative AI Systems

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:53.536534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67010805-7da1-477f-b792-654e356efed1 · inbound

NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models cites this paper.

NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models Toward an Evaluation Science for Generative AI Systems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:24.091055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2f468dc-1180-48b3-b383-c073f710ffd0 · inbound

Correlated Errors in Large Language Models cites this paper.

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:56.341173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ea0c3d7-609e-468a-b979-7bd66ba0adf6 · inbound

A Conceptual Framework for AI Capability Evaluations cites this paper.

A Conceptual Framework for AI Capability Evaluations Toward an Evaluation Science for Generative AI Systems

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-06T23:25:52.454150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec3598ac-b114-4790-9e78-9e1066a36c88 · inbound

Position: Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead cites this paper.

Position: Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead Toward an Evaluation Science for Generative AI Systems

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-19T02:12:55.745328Z

Source-reported events for the cited work

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

Observation 828d7cf6-478b-4f3c-8fac-08bb24bb253c · inbound

HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants cites this paper.

HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants Toward an Evaluation Science for Generative AI Systems

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-04T20:35:57.394750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30b72dfc-149c-4062-9953-cf756c0ac8fa · inbound

Participatory AI: A Scandinavian Approach to Human-Centered AI cites this paper.

Participatory AI: A Scandinavian Approach to Human-Centered AI Toward an Evaluation Science for Generative AI Systems

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-04T16:37:30.927757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1c9d7d6-75c0-484d-90eb-1f5255204b8b · inbound

Participatory AI: A Scandinavian Approach to Human-Centered AI cites this paper.

Participatory AI: A Scandinavian Approach to Human-Centered AI Toward an Evaluation Science for Generative AI Systems

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T16:37:30.933003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6a775fc-c6c1-4af5-afe9-ea84f218b4db · inbound

An Empirical Study of Testing Practices in Open Source AI Agent Frameworks and Agentic Applications cites this paper.

An Empirical Study of Testing Practices in Open Source AI Agent Frameworks and Agentic Applications Toward an Evaluation Science for Generative AI Systems

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:12:39.805750Z

Source-reported events for the cited work

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

Observation 40b6930b-71b5-46b5-a009-952795f8cf87 · inbound

The Persistence of Cultural Memory: Investigating Multimodal Iconicity in Diffusion Models cites this paper.

The Persistence of Cultural Memory: Investigating Multimodal Iconicity in Diffusion Models Toward an Evaluation Science for Generative AI Systems

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T21:55:20.294670Z

Source-reported events for the cited work

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

Observation eff0a74f-f146-4145-8d11-e8b26b292e0d · inbound

Making AI Evaluation Deployment Relevant Through Context Specification cites this paper.

Making AI Evaluation Deployment Relevant Through Context Specification Toward an Evaluation Science for Generative AI Systems

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:50:05.167848Z

Source-reported events for the cited work

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

Observation 2e3f3e52-cd17-4f64-82e5-d5df6f151ba4 · inbound

Towards an Evaluation Methodology for AI in Second Language Education: Lessons Learned from Developing L2-Bench cites this paper.

Towards an Evaluation Methodology for AI in Second Language Education: Lessons Learned from Developing L2-Bench Toward an Evaluation Science for Generative AI Systems

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:25:23.882626Z

Source-reported events for the cited work

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

Observation ec26a659-b467-44f0-963d-666ff420317c · inbound

Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research cites this paper.

Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research Toward an Evaluation Science for Generative AI Systems

Reference 110

Resolution: verified exact; arxiv_id, observed 2026-05-10T04:40:16.529102Z

Source-reported events for the cited work

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

Observation c2da2f11-fed6-4085-aeee-ee23ff3e76bf · inbound

Evaluation Revisited: A Taxonomy of Evaluation Concerns in Natural Language Processing cites this paper.

Evaluation Revisited: A Taxonomy of Evaluation Concerns in Natural Language Processing Toward an Evaluation Science for Generative AI Systems

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T22:53:23.366771Z

Source-reported events for the cited work

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

Observation d5deee66-5baf-4f67-bdf2-f7cf1ddf2c66 · inbound

BenCSSmark: Making the Social Sciences Count in LLM Research cites this paper.

BenCSSmark: Making the Social Sciences Count in LLM Research Toward an Evaluation Science for Generative AI Systems

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:51:08.685249Z

Source-reported events for the cited work

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

Observation 63ac6204-afa9-429b-b0d0-b83fed439a25 · inbound

From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World cites this paper.

From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World Toward an Evaluation Science for Generative AI Systems

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:16:28.016305Z

Source-reported events for the cited work

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

Observation 22ee5cdf-d680-43df-a261-32de1b528991 · inbound

From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World cites this paper.

From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World Toward an Evaluation Science for Generative AI Systems

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:26.753523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d80f729-8b14-47c4-8441-e48c95297b47 · inbound

Unsteady Metrics and Benchmarking Cultures of AI Model Builders cites this paper.

Unsteady Metrics and Benchmarking Cultures of AI Model Builders Toward an Evaluation Science for Generative AI Systems

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:55:03.451740Z

Source-reported events for the cited work

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

Observation 5fdd04f2-1eb7-4d1e-8b2a-1f4fae503f23 · inbound

Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting cites this paper.

Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting Toward an Evaluation Science for Generative AI Systems

Reference 112

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T02:07:33.265081Z

Source-reported events for the cited work

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

Observation 6f756615-b9db-4248-ba42-eb1faca750f8 · inbound

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data cites this paper.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Toward an Evaluation Science for Generative AI Systems

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:54:44.494494Z

Source-reported events for the cited work

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

Observation af1ad875-3399-41f1-a4ac-2653c7c2e5cd · inbound

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

Exposure is not manifestation: measurement target and output resolution jointly determine which behavioural-faithfulness evaluator wins Toward an Evaluation Science for Generative AI Systems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T07:44:03.614906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d834dcae-40d0-4cbc-95ab-648cf68eb808 · inbound

What Current AI Benchmarks Leave Unmeasured: Modality, Search, Citations, and Implications (for Safety Evaluations) cites this paper.

What Current AI Benchmarks Leave Unmeasured: Modality, Search, Citations, and Implications (for Safety Evaluations) Toward an Evaluation Science for Generative AI Systems

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T12:44:35.042357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.