Paper Citation Record · LEDGER

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data

As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2606.29784.

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

pith.paper-citation-record.v1
2606.29784 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T05:41:56.435040Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

30 of 30 outbound references displayed

verified exact3
verified fuzzy0
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8930321a-5022-41e7-a325-c30f7235164f · outbound

This paper cites Nuanced metrics for measuring unintended bias with real data for text classification,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Nuanced metrics for measuring unintended bias with real data for text classification,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a62762d-3055-4f84-963e-b4a593dbe85a · outbound

This paper cites Mllm-as-a-judge: Assessing multimodal llm-as-a-judge with vision-language benchmark,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Mllm-as-a-judge: Assessing multimodal llm-as-a-judge with vision-language benchmark,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 667234eb-960d-40bd-80e8-99a2519905b3 · outbound

This paper cites Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-30T13:54:44.499146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 339d2873-2cce-4696-83b0-c60c997ec6bb · outbound

This paper cites A Coefficient of Agreement for Nominal Scales,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data A Coefficient of Agreement for Nominal Scales,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e413cf8-56e5-46ce-b2ba-b98c8473f04a · outbound

This paper cites Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2a1f518-c3fd-40f8-b1f4-28381f220679 · outbound

This paper cites Maximum likelihood from incomplete data via the EM algorithm,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Maximum likelihood from incomplete data via the EM algorithm,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2c8a07d-f209-432e-ba50-2f0ce4578ad6 · outbound

This paper cites Improving the sensitivity of online controlled ex- periments by utilizing pre-experiment data,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Improving the sensitivity of online controlled ex- periments by utilizing pre-experiment data,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aedef17a-002e-4a22-a2af-f894a9bc6ec1 · outbound

This paper cites Measuring Nominal Scale Agreement Among Many Raters,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Measuring Nominal Scale Agreement Among Many Raters,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ffe8712-b068-48be-b53f-1c937d2f0e05 · outbound

This paper cites Classification in the presence of label noise: a survey,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Classification in the presence of label noise: a survey,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc39b2e8-1b9d-48b8-b798-e8046b194951 · outbound

This paper cites Realtoxicityprompts: Eval- uating neural toxic degeneration in language models,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Realtoxicityprompts: Eval- uating neural toxic degeneration in language models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fc3011a-b3a6-431f-8171-82d740b74be8 · outbound

This paper cites (2004).Monte Carlo methods in financial engineering,53: Springer.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data (2004).Monte Carlo methods in financial engineering,53: Springer

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b5c7a33-17a8-443c-a34b-f5a29e86fcee · outbound

This paper cites A survey on llm-as-a-judge,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data A survey on llm-as-a-judge,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e076f9c0-b773-4c49-9a80-f12973768470 · outbound

This paper cites Holistic Evaluation of Language Models.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Holistic Evaluation of Language Models

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-06-30T13:54:44.496914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d2f0ddf-7731-46b7-af6a-4c5ababd72d7 · outbound

This paper cites Agnostic notes on regression adjustments to experimental data: Reexamining Freed- man’s critique,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Agnostic notes on regression adjustments to experimental data: Reexamining Freed- man’s critique,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f1d5b3f-3790-4d53-addd-29738465aa68 · outbound

This paper cites Confident learning: Estimating uncertainty in dataset labels,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Confident learning: Estimating uncertainty in dataset labels,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b262923b-dbf8-4c97-a316-6bf156b8ba27 · outbound

This paper cites an unresolved cited work.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bd3ba48-5f6f-47b1-b61d-22cc1e7950b0 · outbound

This paper cites Learning from crowds.,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Learning from crowds.,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8ad6d80-83c5-4fda-9d6c-559f1d53613f · outbound

This paper cites Learning From Crowds,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Learning From Crowds,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6af76126-a76e-442a-8375-90db9996c5a1 · outbound

This paper cites Get another label? improving data quality and data mining using multiple, noisy labelers,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Get another label? improving data quality and data mining using multiple, noisy labelers,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 362ddcc2-bc21-4bae-8535-cb93b51a882d · outbound

This paper cites Cheap and Fast—But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Cheap and Fast—But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9e28ac7-8026-4007-b63c-4f1a3763a9ac · outbound

This paper cites Cheap and fast–but is it good? eval- uating non-expert annotations for natural language tasks,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Cheap and fast–but is it good? eval- uating non-expert annotations for natural language tasks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc6b0f54-30b6-46c8-8725-e0d68b5db499 · outbound

This paper cites Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00acb5c9-0c8b-4a25-afe5-aee987b96c11 · outbound

This paper cites an unresolved cited work.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d977f61b-0acd-4377-94fa-d7616d432a21 · outbound

This paper cites An Algorithm for the Validation of Image Segmentation,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data An Algorithm for the Validation of Image Segmentation,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Toward an Evaluation Science for Generative AI Systems.

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 2026-08-20T06:33:59.587034+00:00.

Observation 5e2a9976-fd1c-406e-bd4c-ddf93737fdc5 · outbound

This paper cites The multidimensional wisdom of crowds,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data The multidimensional wisdom of crowds,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15afc851-9250-4a15-aae7-6f34323a3b7e · outbound

This paper cites Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c049112-1f97-4c72-87c5-edcbfaa50f9e · outbound

This paper cites Whose vote should count more: Optimal integration of labels from labelers of unknown expertise,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Whose vote should count more: Optimal integration of labels from labelers of unknown expertise,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b9dd796-8d29-4643-af25-f4e809665a0c · outbound

This paper cites On the convergence properties of the EM algorithm,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data On the convergence properties of the EM algorithm,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e76243c8-4001-472b-b575-1527a56cfeb7 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena,.

HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data Judging llm-as-a-judge with mt-bench and chatbot arena,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-30T05:41:56.435040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.