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Paper Citation Record · LEDGER

Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2404.12272.

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

pith.paper-citation-record.v1
2404.12272 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:45:45.825085Z

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 ccbe4162-3926-4749-973d-660fa218b60c · inbound

Towards unearthing neglected climate innovations from scientific literature using Large Language Models cites this paper.

Towards unearthing neglected climate innovations from scientific literature using Large Language Models Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T20:05:54.315543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:05:54.315543Z digest=sha256:0012bbf3d8bff65bd85e28eb30f29f80641ef0dfdfc2495417a7f5db9b42927c

Observation 09088a7d-bbd7-4f5d-ac12-f8a906a710b3 · inbound

A Framework for Evaluating LLMs Under Task Indeterminacy cites this paper.

A Framework for Evaluating LLMs Under Task Indeterminacy Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T15:58:47.620627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:58:47.620627Z digest=sha256:150c5b2374f4c9c2ec806529b06270924a467dac14b95d68f49af8da340d20aa

Observation e121041d-7bf0-49f7-ad0e-064d05d46d07 · inbound

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach cites this paper.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T15:57:28.824032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:57:28.824032Z digest=sha256:dfa924de1d9d0dce37a28d032667cc339a5ee13b9926a578b767a10aaa64854f

Observation ebd848b7-9872-4d31-b530-e2e021826303 · inbound

Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning cites this paper.

Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-10T14:03:07.258142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:03:07.258142Z digest=sha256:e6a3e732242504ee0713b38a8ac27f43539ee30f6446151a8b876d47e4abf438

Observation 702c98d6-2d98-4b83-8140-21bbb5ff3be9 · inbound

Addressing Bias in Generative AI: Challenges and Research Opportunities in Information Management cites this paper.

Addressing Bias in Generative AI: Challenges and Research Opportunities in Information Management Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-10T16:51:18.110241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:51:18.110241Z digest=sha256:6028be207f5eaf47806b8a3be1e1e70cba6fd470741e357eec4aa266171aea67

Observation 44b15ade-cfe4-4a99-9b08-a22b21cbd5ff · inbound

PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines cites this paper.

PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T11:45:45.825085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:45:45.825085Z digest=sha256:da3566294cc470534aaad56d136f561d5b45fb678306af88d7a1bfb6e5ed702f

Observation 7d230248-3583-4771-9434-10d2f6bcc2e5 · inbound

Personalized Constitutionally-Aligned Agentic Superego: Secure AI Behavior Aligned to Diverse Human Values cites this paper.

Personalized Constitutionally-Aligned Agentic Superego: Secure AI Behavior Aligned to Diverse Human Values Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:07.218428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:07.218428Z digest=sha256:783f756885f7f9955b4cfe7b122644cae1cda8fc30291c293ab307592f37049f

Observation 2e91dddf-f502-4347-aeba-b63a7138e652 · inbound

Rethinking Query Optimization for Multi-Agent Systems [Vision] cites this paper.

Rethinking Query Optimization for Multi-Agent Systems [Vision] Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T17:21:27.143946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T17:21:27.143946Z digest=sha256:a89b7475bb81f38090574e18f7904267f34284a681b1ec39537d59438fd8444b

Observation 8de4cd63-087b-40c8-96a6-9b048aa37772 · inbound

Enhanced Self-Learning with Epistemologically-Informed LLM Dialogue cites this paper.

Enhanced Self-Learning with Epistemologically-Informed LLM Dialogue Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:00:59.817353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T16:20:31.792357Z digest=sha256:aaea5a2279e2e1889e1ece2ffc34837371eed8f256b4c006ccde44c1569071f5

Observation f4010a13-58e0-44f0-8430-e0057f263945 · inbound

Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild cites this paper.

Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:27:48.147823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T11:26:38.634540Z digest=sha256:115f74b4ffb834cf14132c05913322439eb5d51e9db7c49b0b881834847121b8

Observation 110ea06f-aba6-4be1-bd74-9abad5b438c4 · inbound

Judging the Judges: A Systematic Evaluation of Bias Mitigation Strategies in LLM-as-a-Judge Pipelines cites this paper.

Judging the Judges: A Systematic Evaluation of Bias Mitigation Strategies in LLM-as-a-Judge Pipelines Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:41:14.175273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T08:14:18.535385Z digest=sha256:d13c7f1e5e96dca221fc93a40be494fcc2861798de09c3a4a38cc77c867fdee4

Observation eeb9156c-f0dd-4006-b510-dabdb25afe09 · inbound

Agentic-J: An AI Agent for Biological Microscopy Image Analysis cites this paper.

Agentic-J: An AI Agent for Biological Microscopy Image Analysis Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-06-28T11:52:05.109046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T11:48:11.033570Z digest=sha256:4167b9e67d0bd9010625f9d62953516aab7c170c1177e86f0bc3934ec5ed0a58

Observation d81fe9ec-ef6b-408a-bf1a-6cc83f30470a · inbound

Toward Pre-Deployment Assurance for Enterprise AI Agents: Ontology-Grounded Simulation and Trust Certification cites this paper.

Toward Pre-Deployment Assurance for Enterprise AI Agents: Ontology-Grounded Simulation and Trust Certification Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:46:28.205443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T10:41:57.594760Z digest=sha256:b6f2a5cd6243f4431e719dfc2816350fb522b3e6c292ea4cc240ae93f0c3697f

Observation d5567166-653f-46d3-8b4f-6305a48227ae · inbound

Necessary but Not Sufficient: Temperature Control and Reproducibility in LLM-as-Judge Safety Evaluations cites this paper.

Necessary but Not Sufficient: Temperature Control and Reproducibility in LLM-as-Judge Safety Evaluations Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:09:54.401489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-26T01:53:46.908577Z digest=sha256:6c48c4a60815b5bb87c86c953b1d7b777677d1e55ad5444b2093409002ee6a73

Observation 17b1b9e6-75ea-411a-a84c-3bb1236c9232 · inbound

EvalLoop: A Methodology for Evaluation-Driven Iterative Improvement of Business AI Systems cites this paper.

EvalLoop: A Methodology for Evaluation-Driven Iterative Improvement of Business AI Systems Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-11T04:31:30.304599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T04:31:30.304599Z digest=sha256:c65a257c45b865ddeacf30b4e5bc9dc42b2c195957a1b911957b62bb29a59992