Paper Citation Record · LEDGER

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

As of 23 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 25 inbound Pith citation observations for arXiv:2502.00561.

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

pith.paper-citation-record.v1
2502.00561 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:37:35.044086Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:55:22.643993Z

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

52 of 52 outbound references displayed

verified exact4
verified fuzzy21
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation af360f01-f194-42f0-a655-21296375d600 · outbound

This paper cites write newline.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:34.334756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3a72428-0c5a-45db-9d35-367cb535f16f · outbound

This paper cites an unresolved cited work.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-09T18:37:36.313238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0c520125-24c9-4a83-b453-0c65b3e0cf3b · outbound

This paper cites and Collier, D.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge and Collier, D

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.305529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c61fc32b-79d0-4d41-9eba-95e3b2bce4f5 · outbound

This paper cites M., Blaauw, G.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge M., Blaauw, G

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.297384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 39527063-c915-45a4-8539-6c0a09fc0642 · outbound

This paper cites Content Analysis in Communication Research.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Content Analysis in Communication Research

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.289599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ce85ba0e-1412-42af-9494-c3869d47e314 · outbound

This paper cites and Hancox-Li, L.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge and Hancox-Li, L

Reference 6

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T18:37:36.095316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 84ee5103-17e9-4a37-a368-65f16d3d0b4f · outbound

This paper cites an unresolved cited work.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:34.493955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 961ef34c-c694-4c8d-9628-df68d30a99b9 · outbound

This paper cites L., Barocas, S., Daum \'e III, H., and Wallach, H.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge L., Barocas, S., Daum \'e III, H., and Wallach, H

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:34.554747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 826776d4-29a0-4e1e-90e3-8894b7e9db1e · outbound

This paper cites L., Lopez, G., Olteanu, A., Sim, R., and Wallach, H.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge L., Lopez, G., Olteanu, A., Sim, R., and Wallach, H

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.280942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b02377aa-91dc-49f3-abb1-f9f2bfeea3a1 · outbound

This paper cites Quantifying Memorization Across Neural Language Models.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Quantifying Memorization Across Neural Language Models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.273013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6337746e-a493-41dc-894d-2499a7b1b4f3 · outbound

This paper cites A Shared Standard for Valid Measurement of Generative AI Systems' Capabilities, Risks, and Impacts.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge A Shared Standard for Valid Measurement of Generative AI Systems' Capabilities, Risks, and Impacts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:34.652479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba1dd32b-79b3-45eb-a9e2-76fd3688f3ca · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Training Verifiers to Solve Math Word Problems

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:34.671148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99c724f1-2cae-449c-b891-88601cc55c1c · outbound

This paper cites The Files are in the Computer: On Copyright, Memorization, and Generative AI.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge The Files are in the Computer: On Copyright, Memorization, and Generative AI

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:34.714751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38e4f769-2792-4351-bd31-64e837d6975f · outbound

This paper cites F., Abrams, E., and NA, N.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge F., Abrams, E., and NA, N

Reference 14

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T18:37:35.910047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3f3a0b43-c517-40a4-bcfc-43eb0bd17c61 · outbound

This paper cites Report of the 1st Workshop on Generative AI and Law.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Report of the 1st Workshop on Generative AI and Law

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:34.744625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 658e6011-7732-4d6a-acc7-e889b657d432 · outbound

This paper cites F., Choquette-Choo, C.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge F., Choquette-Choo, C

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:34.764744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2de9b6f7-da44-4db5-83b0-9ed3461d381b · outbound

This paper cites Representational Harms through the Lens of Speech Act Theory , 2024.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Representational Harms through the Lens of Speech Act Theory , 2024

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.265664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 575ef757-7849-446b-8724-3d0ff34abbef · outbound

This paper cites an unresolved cited work.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:34.813953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 404b3271-5f3e-4a39-a6c8-9ae5f194edb7 · outbound

This paper cites an unresolved cited work.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-09T18:37:36.258551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 02db8153-78d2-4c3d-a026-77c3dbe5cb33 · outbound

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

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:34.857548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd7a6bd3-4f26-4e26-9241-cc0068f82a2f · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Measuring Mathematical Problem Solving With the MATH Dataset

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.251091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e10e8f16-f5ad-4c24-ac75-6ffade724942 · outbound

This paper cites Evaluation gaps in machine learning practice.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Evaluation gaps in machine learning practice

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.243144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 18deee14-b6ec-4f9e-bb1f-69152923759e · outbound

This paper cites an unresolved cited work.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-09T18:37:36.235017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ed758256-a1eb-451a-ac4f-6e6e0cab1395 · outbound

This paper cites and Kieran, C.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge and Kieran, C

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.227355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 24f98484-80c8-4eea-871a-b0108718f39a · outbound

This paper cites an unresolved cited work.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-09T18:37:36.219671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 21ac5ce4-37d8-4860-a76a-22adfac29cd3 · outbound

This paper cites Algorithm = Logic + Control.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Algorithm = Logic + Control

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.211802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c0610033-aafd-407e-91e4-d5e702fcea9a · outbound

This paper cites Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:34.941234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dbb41d7-a389-4598-a98c-075fd6eec3c5 · outbound

This paper cites IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.204138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 03b7621a-3feb-4b76-b4f6-415f0c21f577 · outbound

This paper cites L., Blodgett, S.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge L., Blodgett, S

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.196239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 244fdae9-00bb-40ad-b6dc-2520ae733768 · outbound

This paper cites C., Shoham, Y., Wald, R., and Clark, J.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge C., Shoham, Y., Wald, R., and Clark, J

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.188290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ffd0c4f9-3f0f-473f-b074-081f813becc6 · outbound

This paper cites Validity.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Validity

Reference 31

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T18:37:35.561608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 721c0e54-0bf0-480a-a5aa-31a32d060307 · outbound

This paper cites Validity and washback in language testing.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Validity and washback in language testing

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.180240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0bc8f29e-77e0-4a01-8b5f-43967daa8284 · outbound

This paper cites K., Koopman, C., and Doty, N.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge K., Koopman, C., and Doty, N

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.171951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 344c7471-839e-4ea2-8c4f-1c15538d3559 · outbound

This paper cites K., Kroll, J.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge K., Kroll, J

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.164417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 83e9b15e-a9a3-47a9-ab88-503bfa2821e0 · outbound

This paper cites S tereo S et: Measuring stereotypical bias in pretrained language models.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge S tereo S et: Measuring stereotypical bias in pretrained language models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:34.974821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10219736-ab27-4493-9b88-dfea96510fa0 · outbound

This paper cites an unresolved cited work.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:34.979147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 148f9c7c-d07f-469d-a0b8-d5a20ca2c6dd · outbound

This paper cites Scalable Extraction of Training Data from (Production) Language Models.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Scalable Extraction of Training Data from (Production) Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:34.981842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7310aeb2-4b35-4655-9145-f52c6d08b9ba · outbound

This paper cites Artificial intelligence Risk Management Framework: Generative Artificial Intelligence Profile , 2024.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Artificial intelligence Risk Management Framework: Generative Artificial Intelligence Profile , 2024

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:34.985743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 225cc190-4abc-4f3f-ab94-291330f67773 · outbound

This paper cites Learning to Reason with LLM s , 2024.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Learning to Reason with LLM s , 2024

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.156633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c886a326-5968-44f6-ba75-5e2112710404 · outbound

This paper cites Red Teaming Language Models with Language Models.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Red Teaming Language Models with Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:34.992794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a17f79a7-4018-43c4-84ee-18b6a3e75a8f · outbound

This paper cites an unresolved cited work.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-09T18:37:36.148281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 903acbaa-441f-4a98-984a-0248a8204015 · outbound

This paper cites Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:35.001891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0434809c-7011-4eef-8db9-fb274e6d6e80 · outbound

This paper cites D., Bender, E.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge D., Bender, E

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.139712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 72d475a8-8b21-47d9-8acf-91b8957dc12e · outbound

This paper cites A., Comanescu, R., Akbulut, C., Stepleton, T., Mateos-Garcia, J., Bergman, S., Kay, J., Griffin, C., Bariach, B., Gabriel, I., Rieser, V., Isaac, W., and Weidinger, L.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge A., Comanescu, R., Akbulut, C., Stepleton, T., Mateos-Garcia, J., Bergman, S., Kay, J., Griffin, C., Bariach, B., Gabriel, I., Rieser, V., Isaac, W., and Weidinger, L

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.131519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cf79d6bf-9d3d-46c6-b054-33008fe256b9 · outbound

This paper cites L., Gardner, M., and Singh, S.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge L., Gardner, M., and Singh, S

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:35.020661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89f36e89-4f16-4c1d-99e6-413403b33433 · outbound

This paper cites an unresolved cited work.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-09T18:37:36.122583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7ae7e0de-d88a-4109-8241-eddd2975649b · outbound

This paper cites H., Reed, D.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge H., Reed, D

Reference 47

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T18:37:35.391628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 98797b12-7942-4d4c-bfed-81d607f38ec6 · outbound

This paper cites Evaluating General-Purpose AI with Psychometrics.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Evaluating General-Purpose AI with Psychometrics

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:35.029933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff236a4b-d7c0-4b55-93af-de8f18809acf · outbound

This paper cites Sociotechnical Safety Evaluation of Generative AI Systems.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Sociotechnical Safety Evaluation of Generative AI Systems

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:35.032673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c7fdeb2-04d4-4476-8641-764a7d9fc553 · outbound

This paper cites Evaluating Mathematical Reasoning Beyond Accuracy.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge Evaluating Mathematical Reasoning Beyond Accuracy

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.114024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b04728b6-67b8-49c0-b678-3d8a12626f31 · outbound

This paper cites The nature and origins of mass opinion.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge The nature and origins of mass opinion

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:37:36.104441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4ac29549-4631-46cc-9990-bbdd755c6763 · outbound

This paper cites HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions.

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T18:37:35.044086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 217ffa83-ae6a-410d-9b76-3623634a1317 · inbound

AI, Jobs, and the Automation Trap: Where Is HCI? cites this paper.

AI, Jobs, and the Automation Trap: Where Is HCI? Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-09T21:53:35.156634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 340fdeae-2f50-444b-a453-d2f97bd837fc · inbound

Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs cites this paper.

Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-09T14:03:44.621750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a680a5c-61f8-4fb4-bc0a-890748ccd3c8 · inbound

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects cites this paper.

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-07T14:26:35.180337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8757af9d-2f7e-40ff-80ce-9462a93d6221 · inbound

Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems cites this paper.

Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:03.085054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cab93fa3-9b77-49b4-947e-f7162d8d95a8 · inbound

Against 'softmaxing' culture cites this paper.

Against 'softmaxing' culture Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:03.057445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c97c0cc-c696-4c0b-b594-a0669ea2943a · inbound

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances cites this paper.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T19:47:49.516194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c69343e9-7ea8-4ff1-ba37-df93a101e6d9 · inbound

Why Johnny Can't Use Agents: Industry Aspirations vs. User Realities with AI Agents cites this paper.

Why Johnny Can't Use Agents: Industry Aspirations vs. User Realities with AI Agents Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:56:38.062223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3a33c585-df94-4a14-a6c2-f96c21ae8e7d · inbound

Responsible Evaluation of AI for Mental Health cites this paper.

Responsible Evaluation of AI for Mental Health Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:50:54.931535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 729587ef-4445-41e6-a3ae-e208359ae64a · inbound

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

Making AI Evaluation Deployment Relevant Through Context Specification Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T14:50:05.159501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 70749d48-bbd7-4928-bf76-ad85e797bbcd · inbound

Grounded Chess Reasoning in Language Models via Master Distillation cites this paper.

Grounded Chess Reasoning in Language Models via Master Distillation Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-13T21:26:43.149095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0191584d-4385-4212-ae50-19f6e3560e0f · inbound

RLHF May Not Reflect Genuine Preferences cites this paper.

RLHF May Not Reflect Genuine Preferences Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T08:40:46.318423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e1116046-03f9-40e2-9144-9a0d98caa63a · inbound

From Ground Truth to Measurement: A Statistical Framework for Human Labeling cites this paper.

From Ground Truth to Measurement: A Statistical Framework for Human Labeling Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:30:58.092181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 88589ab5-5cf6-4cf8-a6b4-3a499773718a · inbound

"I Just Don't Want My Work Being Fed Into The AI Blender": Queer Artists on Refusing and Resisting Generative AI cites this paper.

"I Just Don't Want My Work Being Fed Into The AI Blender": Queer Artists on Refusing and Resisting Generative AI Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 138

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:25:22.668278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fd24ef72-532d-402a-bfae-f5c653595ac9 · inbound

Towards Apples to Apples for AI Evaluations: From Real-World Use Cases to Evaluation Scenarios cites this paper.

Towards Apples to Apples for AI Evaluations: From Real-World Use Cases to Evaluation Scenarios Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T02:55:53.066086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a1357ba7-1d60-473f-bc96-e9f837330683 · inbound

AI as a Tool for Simulation-Based Experiments in Literary Studies cites this paper.

AI as a Tool for Simulation-Based Experiments in Literary Studies Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T15:02:18.979706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9562a4fc-d8f1-4cda-ba93-c52ece092f06 · inbound

Measuring Human Value Expression in Social Media Texts: Calibrated LLM Annotation and Encoder Transfer cites this paper.

Measuring Human Value Expression in Social Media Texts: Calibrated LLM Annotation and Encoder Transfer Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T05:27:40.352337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7948401f-e3a0-43b7-9be0-a9cd98d0453b · inbound

Position: Coding Benchmarks Are Misaligned with Agentic Software Engineering cites this paper.

Position: Coding Benchmarks Are Misaligned with Agentic Software Engineering Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T22:08:58.949519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2f29de4b-0b44-496a-8c61-ed0646ca3c24 · inbound

Position: Coding Benchmarks Are Misaligned with Agentic Software Engineering cites this paper.

Position: Coding Benchmarks Are Misaligned with Agentic Software Engineering Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T11:06:03.560871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13e8e9b3-298f-419d-a664-93ccfc27f6f8 · 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 Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T07:44:03.248723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 077493da-6a1e-4c2a-a038-729646409e34 · inbound

On the Convergent Validity of Offline Evaluation Designs for Recommender Systems cites this paper.

On the Convergent Validity of Offline Evaluation Designs for Recommender Systems Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-31T01:29:53.636089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eab46b33-0a67-4492-931c-1842b1c368b1 · inbound

Long-term Measurements: Towards a Longitudinal Understanding of Human-AI Interactions cites this paper.

Long-term Measurements: Towards a Longitudinal Understanding of Human-AI Interactions Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-04T06:17:17.719091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 432b5be4-cf3e-45a9-a420-d93609dc875e · inbound

Long-term Measurements: Towards a Longitudinal Understanding of Human-AI Interactions cites this paper.

Long-term Measurements: Towards a Longitudinal Understanding of Human-AI Interactions Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-07T00:11:20.211326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b18ed79-9a45-4921-9b95-d578a6f61c52 · inbound

Emulate or Estimate? The Divergent Strengths of Base and Post-Trained Language Models for Opinion Simulation cites this paper.

Emulate or Estimate? The Divergent Strengths of Base and Post-Trained Language Models for Opinion Simulation Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T01:01:58.715300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90fdb2a7-d6a1-4bdf-a364-b147057f1c14 · 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) Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T12:44:35.707630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 679ee3a9-e744-4422-9a33-857f86bfc0f3 · inbound

Algorithmic Gender Prediction Is Illegitimate, But Gender Imputation Can Yield Valid Measurements cites this paper.

Algorithmic Gender Prediction Is Illegitimate, But Gender Imputation Can Yield Valid Measurements Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-14T10:55:22.643993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.