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Paper Citation Record · LEDGER

Dimensions of Generative AI Evaluation Design

As of 16 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2411.12709.

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

pith.paper-citation-record.v1
2411.12709 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:15:21.954030Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

  • verified exact1
  • verified fuzzy7
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 72e07ca0-574d-4f9e-a790-58732ef30866 · outbound

This paper cites Designing disaggregated evaluations of AI systems: Choices, considerations, and tradeoffs.

Dimensions of Generative AI Evaluation Design Designing disaggregated evaluations of AI systems: Choices, considerations, and tradeoffs

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:15:22.194842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a799c670-1ae9-49c9-8c12-e1043ef0d7d6 · outbound

This paper cites Sociolinguistically driven approaches for just natural language processing.

Dimensions of Generative AI Evaluation Design Sociolinguistically driven approaches for just natural language processing

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:15:22.182335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T17:15:21.888875Z digest=sha256:639ab9c68b6517a4da56d150ca5d71852e3642abb2bf45292dfb1653b435e2fa

Observation c6b0f970-f1ab-4936-8773-faa6866ee183 · outbound

This paper cites Language (technology) is power: A critical survey of "bias" in NLP, 2020.

Dimensions of Generative AI Evaluation Design Language (technology) is power: A critical survey of "bias" in NLP, 2020

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:15:22.169249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T17:15:21.893685Z digest=sha256:3e6265faab11d47cc435b4452c95357a07c466cd60af8b4427523e745294f323

Observation 7e2c2244-702a-4434-88c9-d26c4b7b9f2e · outbound

This paper cites Yu, Qiang Yang, and Xing Xie.

Dimensions of Generative AI Evaluation Design Yu, Qiang Yang, and Xing Xie

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:15:22.156007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T17:15:21.898185Z digest=sha256:f3044f93b097b2de2d78c3e4c06f4708dcb07c0bef2f3d0a2897680225f0f3cf

Observation e661a010-0a34-4a53-a496-d1f20213d105 · outbound

This paper cites an unresolved cited work.

Dimensions of Generative AI Evaluation Design Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:15:22.141688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T17:15:21.902275Z digest=sha256:63cddd36d26557f35c343223aecde4a9d72e6145b65c3e65da5c84b80942983b

Observation 26a1c133-a279-44d1-8a88-18b1768f4479 · outbound

This paper cites Towards interactive evaluations for interaction harms in human-AI systems.

Dimensions of Generative AI Evaluation Design Towards interactive evaluations for interaction harms in human-AI systems

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T17:15:21.906415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:15:21.906415Z digest=sha256:d5e77f730bbca213e916686ba50d424dd77c6b9cfb5815afbc9a0c12b218a995

Observation 5343268b-e9be-4586-9ca8-46bf956d6de6 · outbound

This paper cites On the Societal Impact of Open Foundation Models.

Dimensions of Generative AI Evaluation Design On the Societal Impact of Open Foundation Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T17:15:21.910883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:15:21.910883Z digest=sha256:688666fdf77e2a350d7f1ed21dbb1706075c5760d1f9bbf67eee4e663f64fecc

Observation 8ad6c4cf-6ffd-4f0e-a23a-91159394bea5 · outbound

This paper cites Taxonomizing and measuring representational harms: A look at image tagging.

Dimensions of Generative AI Evaluation Design Taxonomizing and measuring representational harms: A look at image tagging

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:15:22.129067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T17:15:21.915787Z digest=sha256:c373bcd01e6d82f5ef56f98b7e31336611b1698d5479d58f1499143889e6f2d8

Observation 6effd4b1-d362-43ff-9d01-695d8a0137ea · outbound

This paper cites Holistic Evaluation of Language Models.

Dimensions of Generative AI Evaluation Design Holistic Evaluation of Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T17:15:21.919619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:15:21.919619Z digest=sha256:a1a481c59acaac924128860aefa528dbbfc09fe724981bac2c99eb87b0a17b43

Observation b635392e-b63b-4197-ad86-c731715b592a · outbound

This paper cites Rethinking Model Evaluation as Narrowing the Socio-Technical Gap.

Dimensions of Generative AI Evaluation Design Rethinking Model Evaluation as Narrowing the Socio-Technical Gap

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T17:15:21.924048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:15:21.924048Z digest=sha256:9d5e7967c5ec506d58d0c5ff1d3033c2685282c498981cd8a1845095cd8ec826

Observation b468f125-3b23-42c8-b2ac-bf1f895eacef · outbound

This paper cites The AI index 2024 annual report.

Dimensions of Generative AI Evaluation Design The AI index 2024 annual report

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:15:22.115786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T17:15:21.928350Z digest=sha256:61b99fd61f028508bfb6ee81bba32d857b71955118f5040c9100d0b688acc0c3

Observation e0141a33-3376-451c-a990-9b9c3b0eb491 · outbound

This paper cites Mouton, Caleb Lucas, and Ella Guest.

Dimensions of Generative AI Evaluation Design Mouton, Caleb Lucas, and Ella Guest

Reference 12

Resolution
verified exact
doi, observed 2026-08-12T17:15:21.998113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T17:15:21.932395Z digest=sha256:65d959c93594699ce6d6e4e8195f675523b8667c9197d04690e4aa5266355775

Observation fff37d95-25e9-46e7-bc44-c9e5bdbdbe5f · outbound

This paper cites Artificial intelligence risk management framework (AI RMF 1.0), 2023.

Dimensions of Generative AI Evaluation Design Artificial intelligence risk management framework (AI RMF 1.0), 2023

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T17:15:21.936980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:15:21.936980Z digest=sha256:24ef1e5e98872ab922150cda54539bcda122b8d3c68add6e45df7a38199849a1

Observation 1975741c-4eae-4ed4-b3dc-7b318fe4fddd · outbound

This paper cites Building an early warning 4 system for LLM-aided biological threat creation, 2024.

Dimensions of Generative AI Evaluation Design Building an early warning 4 system for LLM-aided biological threat creation, 2024

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:15:22.102438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T17:15:21.941451Z digest=sha256:1ea395abb2f4d4d8db01435ba01ca4d3ebdae4e10eb900e06cc5696b0df5dae1

Observation 0353eefc-190f-4539-bbd6-3a7d36c013b0 · outbound

This paper cites Evaluating Frontier Models for Dangerous Capabilities.

Dimensions of Generative AI Evaluation Design Evaluating Frontier Models for Dangerous Capabilities

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T17:15:21.945350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:15:21.945350Z digest=sha256:802388d40e9a0ad5f1c3e148c46f21887855bfe8fe6d7f3c56b17324076a0213

Observation d05e820b-5fb0-4266-ae2d-b26e4f1ad39b · outbound

This paper cites an unresolved cited work.

Dimensions of Generative AI Evaluation Design Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-12T17:15:22.089098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T17:15:21.950130Z digest=sha256:e3265b17dddc2e4ace63f7366c0b9b835d9515ed97db50623f0d724917b04fb7

Observation 59af731b-1977-4472-b468-a25e6cc04bcd · outbound

This paper cites Sociotechnical Safety Evaluation of Generative AI Systems.

Dimensions of Generative AI Evaluation Design Sociotechnical Safety Evaluation of Generative AI Systems

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T17:15:21.954030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:15:21.954030Z digest=sha256:3df2f1156fcf67e7288d7b91627e2f5c90fad62ae09056dd3ca75a13b84e156b

Pith citing papers

No inbound Pith citation observations are available.