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Paper Citation Record · LEDGER

Controlling the false discovery rate under a non-parametric graphical dependence model

As of 10 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2506.24126.

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

pith.paper-citation-record.v1
2506.24126 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:45:19.069567Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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 exact17
  • verified fuzzy5
  • unresolved16
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2686f865-05a9-41a1-9048-9863788035d6 · outbound

This paper cites Controlling the False Discovery Rate : A Practical and Powerful Approach to Multiple Testing.

Controlling the false discovery rate under a non-parametric graphical dependence model Controlling the False Discovery Rate : A Practical and Powerful Approach to Multiple Testing

Reference 1

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Observation 11ffc4d4-73cc-4423-a98c-600243aa1e0d · outbound

This paper cites The control of the false discovery rate in multiple testing under dependency.

Controlling the false discovery rate under a non-parametric graphical dependence model The control of the false discovery rate in multiple testing under dependency

Reference 2

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Observation b5a2af6f-82ba-4c8a-bd3d-0427cede312a · outbound

This paper cites Two simple sufficient conditions for FDR control.

Controlling the false discovery rate under a non-parametric graphical dependence model Two simple sufficient conditions for FDR control

Reference 3

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Observation c0277bdd-a724-4ee2-889f-7979351d73d0 · outbound

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Controlling the false discovery rate under a non-parametric graphical dependence model Unresolved cited work

Reference 4

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Observation 5b807216-35e6-4700-beb4-c53626108328 · outbound

This paper cites Multiple testing under negative dependence.

Controlling the false discovery rate under a non-parametric graphical dependence model Multiple testing under negative dependence

Reference 5

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Observation b05eebdd-80f5-4967-89e1-f5eedbb1c4a1 · outbound

This paper cites Igraph for R : R interface of the igraph library for graph theory and network analysis.

Controlling the false discovery rate under a non-parametric graphical dependence model Igraph for R : R interface of the igraph library for graph theory and network analysis

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 78ffd964-bfcf-4e30-a79a-fdd3d28a9bf5 · outbound

This paper cites The International Genome Sample Resource ( IGSR ) collection of open human genomic variation resources.

Controlling the false discovery rate under a non-parametric graphical dependence model The International Genome Sample Resource ( IGSR ) collection of open human genomic variation resources

Reference 7

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Observation f61f4b29-72d9-4371-9ed5-7d011620938a · outbound

This paper cites Some Results on the Control of the False Discovery Rate under Dependence.

Controlling the false discovery rate under a non-parametric graphical dependence model Some Results on the Control of the False Discovery Rate under Dependence

Reference 8

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Observation 9d9ea98b-017a-4ad6-a8b7-e2ab88566f01 · outbound

This paper cites an unresolved cited work.

Controlling the false discovery rate under a non-parametric graphical dependence model Unresolved cited work

Reference 9

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4da8f489-06ab-4dfd-bbd6-35e77168a2e5 · outbound

This paper cites Dependency and false discovery rate: Asymptotics.

Controlling the false discovery rate under a non-parametric graphical dependence model Dependency and false discovery rate: Asymptotics

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 18ef745e-ab73-45d2-b2e0-11ceff7cc049 · outbound

This paper cites Conditional calibration for false discovery rate control under dependence.

Controlling the false discovery rate under a non-parametric graphical dependence model Conditional calibration for false discovery rate control under dependence

Reference 11

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 69a94ff4-4091-4ab8-9a9e-9589990fdf15 · outbound

This paper cites Goeman and Aldo Solari.

Controlling the false discovery rate under a non-parametric graphical dependence model Goeman and Aldo Solari

Reference 12

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Observation 8854cc00-65be-4fbb-b729-3105b86345e8 · outbound

This paper cites Adaptive controls of FWER and FDR under block dependence.

Controlling the false discovery rate under a non-parametric graphical dependence model Adaptive controls of FWER and FDR under block dependence

Reference 13

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3dd951a0-b9ec-41c9-b021-1bb6ef81b4b0 · outbound

This paper cites Covariate powered cross-weighted multiple testing.

Controlling the false discovery rate under a non-parametric graphical dependence model Covariate powered cross-weighted multiple testing

Reference 14

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Observation 15b4f9ca-279e-452f-b37c-6c68574307cc · outbound

This paper cites Large deviations for sums of partly dependent random variables.

Controlling the false discovery rate under a non-parametric graphical dependence model Large deviations for sums of partly dependent random variables

Reference 15

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0c51e27f-eb34-4e31-82fc-254fae730211 · outbound

This paper cites van de Wiel.

Controlling the false discovery rate under a non-parametric graphical dependence model van de Wiel

Reference 16

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2c9d366d-2b2d-4de3-b3cd-9f906d9a6479 · outbound

This paper cites Kluger and Art B.

Controlling the false discovery rate under a non-parametric graphical dependence model Kluger and Art B

Reference 17

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ee43258a-4146-4ad0-8424-04547339df1e · outbound

This paper cites A Short Review on Novel Approaches for Maximum Clique Problem : From Classical algorithms to Graph Neural Networks and Quantum algorithms, March 2024.

Controlling the false discovery rate under a non-parametric graphical dependence model A Short Review on Novel Approaches for Maximum Clique Problem : From Classical algorithms to Graph Neural Networks and Quantum algorithms, March 2024

Reference 18

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Observation c34cd09a-adcd-4c2a-b6ed-f49408e66d02 · outbound

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Controlling the false discovery rate under a non-parametric graphical dependence model Unresolved cited work

Reference 19

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Observation f9b35dee-1de5-4600-aab3-dce9ea6d4841 · outbound

This paper cites Ramdas, Rina F.

Controlling the false discovery rate under a non-parametric graphical dependence model Ramdas, Rina F

Reference 20

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Observation 55c68342-ac7f-4067-9bf1-5aa664b5c167 · outbound

This paper cites FDR Control by the BH Procedure for Two - Sided Correlated Tests with Implications to Gene Expression Data Analysis.

Controlling the false discovery rate under a non-parametric graphical dependence model FDR Control by the BH Procedure for Two - Sided Correlated Tests with Implications to Gene Expression Data Analysis

Reference 21

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Observation d27ed3bd-b728-4637-8661-792ef58d403f · outbound

This paper cites Biological Insights From 108 Schizophrenia-Associated Genetic Loci.

Controlling the false discovery rate under a non-parametric graphical dependence model Biological Insights From 108 Schizophrenia-Associated Genetic Loci

Reference 22

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Observation 31a5f190-a1dd-4136-96c0-86604bd147e9 · outbound

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Controlling the false discovery rate under a non-parametric graphical dependence model Romano and Azeem M

Reference 23

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Observation 5827e23f-a120-4ce0-ad8e-834a8ae68599 · outbound

This paper cites Inf \'e rence de graphes par une proc \'e dure de test multiple avec application en Neuroimagerie.

Controlling the false discovery rate under a non-parametric graphical dependence model Inf \'e rence de graphes par une proc \'e dure de test multiple avec application en Neuroimagerie

Reference 24

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Controlling the false discovery rate under a non-parametric graphical dependence model Unresolved cited work

Reference 25

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Observation 8d08cd76-3021-4a98-98fe-508acd885d3a · outbound

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Controlling the false discovery rate under a non-parametric graphical dependence model Unresolved cited work

Reference 26

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Observation f5c96c38-59b0-42a8-a1f8-850cd15f29de · outbound

This paper cites Linkage disequilibrium --- understanding the evolutionary past and mapping the medical future.

Controlling the false discovery rate under a non-parametric graphical dependence model Linkage disequilibrium --- understanding the evolutionary past and mapping the medical future

Reference 27

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Controlling the false discovery rate under a non-parametric graphical dependence model Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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This paper cites The FDR-Linking Theorem.

Controlling the false discovery rate under a non-parametric graphical dependence model The FDR-Linking Theorem

Reference 29

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Unavailable: canonical work link unavailable.

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Observation abdcfe2c-d071-4569-8d5d-22b2a7fc0b68 · outbound

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Controlling the false discovery rate under a non-parametric graphical dependence model On weighted hochberg procedures

Reference 30

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e1b12cae-f74e-4e5b-ad14-1a8518154975 · outbound

This paper cites Tamhane, Wei Liu, and Charles W.

Controlling the false discovery rate under a non-parametric graphical dependence model Tamhane, Wei Liu, and Charles W

Reference 31

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Controlling the false discovery rate under a non-parametric graphical dependence model A New Algorithm for Generating All the Maximal Independent Sets

Reference 32

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Controlling the false discovery rate under a non-parametric graphical dependence model Wall and Jonathan K

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e808510e-a7f8-428a-8db4-dc25f8b1a206 · outbound

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Controlling the false discovery rate under a non-parametric graphical dependence model False discovery rate control with e-values

Reference 34

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e389bda9-bfe1-4a24-89fd-13ef4c4166bd · outbound

This paper cites Werling, Sirisha Pochareddy, Jinmyung Choi, Joon-Yong An, Brooke Sheppard, Minshi Peng, Zhen Li, Claudia Dastmalchi, Gabriel Santpere, André M.

Controlling the false discovery rate under a non-parametric graphical dependence model Werling, Sirisha Pochareddy, Jinmyung Choi, Joon-Yong An, Brooke Sheppard, Minshi Peng, Zhen Li, Claudia Dastmalchi, Gabriel Santpere, André M

Reference 35

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 46679dc9-63fa-4086-b21d-11a1cfcf4714 · outbound

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Controlling the false discovery rate under a non-parametric graphical dependence model Unresolved cited work

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c1b75363-fa04-44a0-b20f-5c258ed2880e · outbound

This paper cites A review on algorithms for maximum clique problems.

Controlling the false discovery rate under a non-parametric graphical dependence model A review on algorithms for maximum clique problems

Reference 37

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unresolved
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source=arxiv_source observed=2026-08-06T21:45:18.947266Z digest=sha256:e01a2f137e21fefdf3cf984a938190000af8220a293b943daef3080585670ae8

Observation f60ecff1-48ad-4551-853f-7198e2f4562d · outbound

This paper cites A selective inference approach for false discovery rate control using multiomics covariates yields insights into disease risk.

Controlling the false discovery rate under a non-parametric graphical dependence model A selective inference approach for false discovery rate control using multiomics covariates yields insights into disease risk

Reference 38

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source=arxiv_source observed=2026-08-06T21:45:19.069567Z digest=sha256:68cf33a0e54dc1fe684e3e37a9d3439c134f10fa302d094221f32bf137310394

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