Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2411.10939.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T16:40:07.216514Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T03:41:00.103963Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 71c16f38-00e1-4ca8-9015-6337f292eea6 · inbound
Neither Valid nor Reliable? Investigating the Use of LLMs as Judges Evaluating Generative AI Systems is a Social Science Measurement Challenge
Reference 112
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f3764f2-2522-4499-89c9-7d0de8f765e4 · inbound
Understanding, Protecting, and Augmenting Human Cognition with Generative AI: A Synthesis of the CHI 2025 Tools for Thought Workshop Evaluating Generative AI Systems is a Social Science Measurement Challenge
Reference 127
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef6e2618-610c-446f-948e-752f28d4d8e0 · inbound
HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants Evaluating Generative AI Systems is a Social Science Measurement Challenge
Reference 76
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea55a5d3-78b6-4562-babf-f5bdb69bda7b · inbound
Bye Bye Perspective API: Lessons for Measurement Infrastructure in NLP, CSS and LLM Evaluation Evaluating Generative AI Systems is a Social Science Measurement Challenge
Reference 91
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2456370c-6165-4ec4-9876-0f4431a0d06b · inbound
From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World Evaluating Generative AI Systems is a Social Science Measurement Challenge
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e537999c-a49b-449d-b305-8ca37468295c · inbound
From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World Evaluating Generative AI Systems is a Social Science Measurement Challenge
Reference 34
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48a4c397-c291-4af2-ab40-b86e1b1d9eab · inbound
Defining Cultural Capabilities for AI Evaluation: A Taxonomy Grounded in Intercultural Communication Theory Evaluating Generative AI Systems is a Social Science Measurement Challenge
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 36e9d93d-e554-4dd3-852f-f020103e3331 · inbound
Healthcare LLM Benchmarks Are Only as Good as Their Explicit Assumptions Evaluating Generative AI Systems is a Social Science Measurement Challenge
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.