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Paper Citation Record · LEDGER

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data

As of 11 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2606.26422.

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

pith.paper-citation-record.v1
2606.26422 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T01:16:54.891424Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

38 of 38 outbound references displayed

  • verified exact7
  • verified fuzzy0
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e2f3ed93-c283-42f9-bbc1-72480e1dff63 · outbound

This paper cites Kapoor, A.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Kapoor, A

Reference 1

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arxiv_id, observed 2026-06-26T01:18:50.028347Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 29fd47cf-54e6-4229-beac-43c60db91dcb · outbound

This paper cites doi: https://doi.org/10.1037/h0040957.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data doi: https://doi.org/10.1037/h0040957

Reference 2

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Observation 465ce874-376f-485f-95e4-a46e7409a915 · outbound

This paper cites Model Cards for Model Reporting.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Model Cards for Model Reporting

Reference 3

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Observation 36e66c86-0fe8-4126-88b4-26a121d029c1 · outbound

This paper cites Statistical power analysis for the behavioral sciences , isbn =.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Statistical power analysis for the behavioral sciences , isbn =

Reference 4

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Observation 85fb6669-655b-4ae3-9a48-6ed551d20bc5 · outbound

This paper cites National Center for Special Education Research , author =.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data National Center for Special Education Research , author =

Reference 5

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Observation 80e06027-6d33-457f-8406-482d6e98e2c8 · outbound

This paper cites , editor =.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data , editor =

Reference 6

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Observation 72aa6683-0538-4093-8247-2b7cd3e6b127 · outbound

This paper cites Educational Evaluation and Policy Analysis , author =.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Educational Evaluation and Policy Analysis , author =

Reference 7

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 7b161a60-a86d-4b12-a19d-12ee5c0991a1 · outbound

This paper cites and Stewart, Brandon M.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data and Stewart, Brandon M

Reference 8

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Observation c221f7c8-c984-4e4a-8795-2f76053305ce · outbound

This paper cites Proceedings of the 2020 conference on fairness, accountability, and transparency , author =.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Proceedings of the 2020 conference on fairness, accountability, and transparency , author =

Reference 9

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Observation 20c70552-ea4c-49ef-a7ca-0997dae39c73 · outbound

This paper cites Gender shades:.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Gender shades:

Reference 10

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Observation a27779bf-d342-445e-9e75-f881693ceea9 · outbound

This paper cites an unresolved cited work.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Unresolved cited work

Reference 11

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Observation cadd13dc-6fb6-4080-9182-775b70e90cec · outbound

This paper cites Shadows of wisdom: Classifying meta-cognitive and morally grounded narrative content via large language models.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Shadows of wisdom: Classifying meta-cognitive and morally grounded narrative content via large language models

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 31beb987-ec83-4773-8cdb-95058072d93e · outbound

This paper cites Proceedings of the National Academy of Sciences , publisher =.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Proceedings of the National Academy of Sciences , publisher =

Reference 13

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 8342b57e-efaa-4d8a-ae1c-cc7bf68cd7ae · outbound

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Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data , month = dec, year =

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 59252c20-0799-4d09-9579-48939d4fce93 · outbound

This paper cites , year =.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data , year =

Reference 15

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Observation 23fb2aa5-8a5b-495f-ad57-134a8003471c · outbound

This paper cites A Comprehensive Comparison of the Wald, Wilson, and adjusted Wilson Confidence Intervals for Proportions.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data A Comprehensive Comparison of the Wald, Wilson, and adjusted Wilson Confidence Intervals for Proportions

Reference 16

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 187ab06a-4f02-48b9-9077-e3006ed94d0a · outbound

This paper cites , year =.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data , year =

Reference 17

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Observation fbb6600a-aaba-448c-9f61-bc211c4c62c1 · outbound

This paper cites Survey sampling , publisher =.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Survey sampling , publisher =

Reference 18

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Observation b1b8d90e-94fa-43f9-b2c5-b0cb15d8fcca · outbound

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Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Unresolved cited work

Reference 19

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Observation 99b6cd70-6287-4a07-b755-f132c4ba0a28 · outbound

This paper cites and Pearson, Egon S.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data and Pearson, Egon S

Reference 20

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Observation 81ab3456-d5d1-432f-aedc-5c15fc8ab317 · outbound

This paper cites Monographs on statistics and applied probability , author =.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Monographs on statistics and applied probability , author =

Reference 21

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Observation 5be30351-b913-4efd-bfbb-e402f20228f8 · outbound

This paper cites Model evaluation, model selection, and algorithm selection in machine learning , journal =.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Model evaluation, model selection, and algorithm selection in machine learning , journal =

Reference 22

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Observation 0a678e17-eecd-40a6-957a-6b130782583f · outbound

This paper cites Evaluation metrics and statistical tests for machine learning , volume =.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Evaluation metrics and statistical tests for machine learning , volume =

Reference 23

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Observation c171f60e-ccc9-4a0a-8a54-3d33346e1503 · outbound

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Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Nonparametric standard errors and confidence intervals , volume =

Reference 24

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Observation a159bb7e-99da-4b32-8a9f-74803a8382e3 · outbound

This paper cites Why question machine learning evaluation methods , volume =.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Why question machine learning evaluation methods , volume =

Reference 25

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Observation ae474e2a-45b9-49c5-a089-9fa7d642c0bc · outbound

This paper cites and Huang, Jin and Zhang, Harry , year =.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data and Huang, Jin and Zhang, Harry , year =

Reference 26

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Observation 8be426be-0fe0-47e9-9626-49cfe848eb15 · outbound

This paper cites and Reisenbichler, Emily S.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data and Reisenbichler, Emily S

Reference 27

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Observation 84d28653-3ac8-415f-8bf4-a88912e50c61 · outbound

This paper cites Journal of the Royal Statistical Society: Series B (Methodological) , author =.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Journal of the Royal Statistical Society: Series B (Methodological) , author =

Reference 28

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Observation 60943801-dceb-4058-bf23-f53c6e52ca1d · outbound

This paper cites WIREs Comp Stat , author =.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data WIREs Comp Stat , author =

Reference 29

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Observation 59e3ab88-adea-43aa-b239-d0a81a18e594 · outbound

This paper cites Evaluating confidence interval methods for binomial proportions in clustered surveys , volume =.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Evaluating confidence interval methods for binomial proportions in clustered surveys , volume =

Reference 30

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Observation 5cca7828-f5e1-4eee-8279-eb44fece6089 · outbound

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Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Contemporary Clinical Trials , author =

Reference 31

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 5986aac9-66f0-4bd0-8764-a10642a962a9 · outbound

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Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data and Graubard, Barry I

Reference 32

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Observation 9339503f-b19d-476b-9dcf-e861fa58e48e · outbound

This paper cites Leveraging large language models to identify microcounseling skills in psychotherapy transcripts , doi =.

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Leveraging large language models to identify microcounseling skills in psychotherapy transcripts , doi =

Reference 33

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Observation fbae1641-6eec-4114-9ff9-462f14ffe8f5 · outbound

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Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Proceedings of the fourth workshop on computational linguistics and clinical psychology—from linguistic signal to clinical reality , author =

Reference 34

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Observation 3d9f2613-760e-4e69-addf-809bce80d926 · outbound

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Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Neurons, behavior, data analysis and theory , author =

Reference 35

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Observation 10ad149f-d1a1-469f-ab50-3eab3eb9e83e · outbound

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Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data and Welsh, Alan H

Reference 36

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Observation 2a91d471-a7bd-4f7c-8730-6fa6b23ac03b · outbound

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Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data Bernoulli , volume =

Reference 37

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Observation b46584e8-4246-4138-bbd9-3fa3d881ef53 · outbound

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Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data REVSTAT-Statistical Journal , author =

Reference 38

Resolution
unresolved
no resolver link, observed 2026-06-26T01:16:54.891424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T01:16:54.891424Z digest=sha256:9c0bd4e5c347306b88bb46add9945b9a2d2457ec8880e561e5da9576eba488c0

Pith citing papers

No inbound Pith citation observations are available.