Paper Citation Record · LEDGER

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2502.02623.

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

pith.paper-citation-record.v1
2502.02623 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:37:46.423906Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:42:17.175045Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact3
verified fuzzy32
unresolved5
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c69d48ed-e729-48b4-a9af-1802ae6e018b · outbound

This paper cites Nonparametric estimators,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Nonparametric estimators,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:47.112757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 996c5446-91d7-4116-bb1e-23b5de39d53a · outbound

This paper cites Markov processes over denumerable products of spaces, describing large systems of automata,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Markov processes over denumerable products of spaces, describing large systems of automata,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:47.098431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d93207b9-b591-4265-a445-ef32eaf8d0ef · outbound

This paper cites The speed of mean glivenko-cantelli convergence,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances The speed of mean glivenko-cantelli convergence,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:47.084828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e7c0714c-ce6a-4975-bbcd-69aa2ba0edac · outbound

This paper cites A kernel two-sample test,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances A kernel two-sample test,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:47.071428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d70d1c44-79c8-481f-ab0a-5b3e93abd4e3 · outbound

This paper cites Statistical estimation of ergodic markov chain kernel over discrete state space,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Statistical estimation of ergodic markov chain kernel over discrete state space,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:47.057379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bd7484b8-2946-4ced-89a3-23ff40ab340c · outbound

This paper cites Neue begr¨ undung der theorie quadratischer formen von un- endlichvielen ver¨ anderlichen.,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Neue begr¨ undung der theorie quadratischer formen von un- endlichvielen ver¨ anderlichen.,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:47.043321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6e20e723-0fbe-49b2-bab2-64c69ad08435 · outbound

This paper cites On the rate of convergence in wasserstein distance of the empirical measure,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances On the rate of convergence in wasserstein distance of the empirical measure,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:47.029201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1f84f179-18cc-48b8-96ec-518c746824ae · outbound

This paper cites Sharp asymptotic and finite-sample rates of conver- gence of empirical measures in wasserstein distance,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Sharp asymptotic and finite-sample rates of conver- gence of empirical measures in wasserstein distance,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:47.015086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3a822f8f-af49-4598-a9d9-49eae59b5271 · outbound

This paper cites Statistical aspects of wasserstein dis- tances,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Statistical aspects of wasserstein dis- tances,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:47.000931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 224dbd39-9ccd-447b-a172-4c375732ab0b · outbound

This paper cites On the rate of convergence of empirical measure in $\infty-$Wasserstein distance for unbounded density function.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances On the rate of convergence of empirical measure in $\infty-$Wasserstein distance for unbounded density function

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-09T12:37:46.619920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cff37e0d-6d00-47c5-ba2b-e72bc0e7c244 · outbound

This paper cites The total variation distance between high-dimensional Gaussians with the same mean.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances The total variation distance between high-dimensional Gaussians with the same mean

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T12:37:46.284908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eb29e61-ea47-4dc4-87e1-3fdc9a696934 · outbound

This paper cites Polynomial time and private learning of unbounded gaussian mixture models,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Polynomial time and private learning of unbounded gaussian mixture models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.986056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation caed3735-cd09-4be6-bcc7-d1810622881c · outbound

This paper cites Sample com- plexity of sinkhorn divergences,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Sample com- plexity of sinkhorn divergences,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.970654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c60cba5c-c986-4c40-b21d-33048f8aa909 · outbound

This paper cites Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-09T12:37:46.583452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 65c60bbc-d45e-4d86-9a20-fcc24a8223ff · outbound

This paper cites Minimax esti- mation of maximum mean discrepancy with radial kernels,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Minimax esti- mation of maximum mean discrepancy with radial kernels,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.956773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation deee6ca0-b692-46a0-af34-927a84d36d3a · outbound

This paper cites Sample complexity of probability divergences under group symmetry,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Sample complexity of probability divergences under group symmetry,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.942549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a76ffc25-62bc-426d-8acb-93eff8f01e61 · outbound

This paper cites Sample complexity bounds for estimating the wasserstein distance under invariances,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Sample complexity bounds for estimating the wasserstein distance under invariances,

Reference 17

Resolution: verified exact; raw_fallback, observed 2026-08-09T12:37:46.561718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 22787ad6-22a6-4930-84f8-237ed5be58b0 · outbound

This paper cites Computability of optimizers,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Computability of optimizers,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.928269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fee349a1-637b-4a16-ac1b-50806e744720 · outbound

This paper cites How we analyzed the compas recidivism algorithm.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances How we analyzed the compas recidivism algorithm

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.913460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a3df908b-55dc-4670-8316-45ced7a3d890 · outbound

This paper cites It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T12:37:46.325164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8fc3421-ff10-4fa6-b06a-e706e053a79e · outbound

This paper cites A kernel method for the two-sample problem,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances A kernel method for the two-sample problem,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T12:37:46.331151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86ae6112-3d41-4a04-9aa6-1e10f6e087df · outbound

This paper cites an unresolved cited work.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-09T12:37:46.890213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 33b84f14-b5e2-4f18-a93c-818d66e41483 · outbound

This paper cites Berlinet and C.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Berlinet and C

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.875778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 201d340b-35b4-4b48-8e28-3ffc9b126b9f · outbound

This paper cites Computational optimal transport,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Computational optimal transport,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.862363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1695c31f-4e25-4353-ad88-dd91b2599568 · outbound

This paper cites Monge, M´ emoire sur la th´ eorie des d´ eblais et des remblais.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Monge, M´ emoire sur la th´ eorie des d´ eblais et des remblais

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.848480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a359038-69f2-47c5-b6f7-a638870eb536 · outbound

This paper cites On the translocation of masses,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances On the translocation of masses,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.833996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b798462-b510-4000-b178-811ba40a62f6 · outbound

This paper cites On the uniform convergence of relative frequencies of events to their probabilities,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances On the uniform convergence of relative frequencies of events to their probabilities,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.820125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 65d62834-f738-4c6b-aff4-504195f34692 · outbound

This paper cites Low-rank methods in event detection with subsampled point-to-subspace proximity tests,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Low-rank methods in event detection with subsampled point-to-subspace proximity tests,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.805704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 67a719a3-06f5-471b-bfc9-7583ae77573c · outbound

This paper cites ϵ-nets and simplex range queries,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances ϵ-nets and simplex range queries,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.791287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 448fab45-0be8-4bf3-ad95-10a4bc696fe6 · outbound

This paper cites Epsilon-nets and simplex range queries,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Epsilon-nets and simplex range queries,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.776306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f09c0b92-0e04-4c81-816b-6b0f0e2d1367 · outbound

This paper cites Further applications of random sampling to computational geometry,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Further applications of random sampling to computational geometry,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.761631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f795d7f-6bce-4840-bb65-0f0da42aa532 · outbound

This paper cites New applications of random sampling in computational geometry,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances New applications of random sampling in computational geometry,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.747216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e6c5aec0-130c-4b9d-9ebb-47b448bc4a75 · outbound

This paper cites Lecture notes: Geom- etry: Combinatorics and Algorithms.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Lecture notes: Geom- etry: Combinatorics and Algorithms

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.731985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f2a3f30b-562a-4406-86f5-187a214722d1 · outbound

This paper cites Mitzenmacher and E.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Mitzenmacher and E

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.715806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 517b0174-e4b1-4ab8-933b-e3dca4fcbec1 · outbound

This paper cites Pot: Python optimal transport,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Pot: Python optimal transport,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.699292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d4904eba-ced8-456d-9cc4-d5075fa589fc · outbound

This paper cites Becker and R.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Becker and R

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.683861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0eb3f3cf-172c-4f33-8542-8f9f45107f6e · outbound

This paper cites Retiring adult: New datasets for fair machine learning,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Retiring adult: New datasets for fair machine learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.668064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f985d387-da7b-4458-93cb-302bdecaf19e · outbound

This paper cites Minimax estimation of maximum mean discrepancy with radial kernels,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Minimax estimation of maximum mean discrepancy with radial kernels,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.651850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b7e4cdfc-5cba-4bba-9f86-180ba0afcc1a · outbound

This paper cites On the sample complexity of learning functions with bounded variation,.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances On the sample complexity of learning functions with bounded variation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:37:46.635759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4a9dfef9-33fd-4334-be05-3666ea446a78 · outbound

This paper cites an unresolved cited work.

Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances Unresolved cited work

Reference 1996

Resolution: unresolved; no resolver link, observed 2026-08-09T12:37:46.409114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d998ef79-3d2d-4255-88e8-c763ca0eb797 · inbound

humancompatible.detect: a Python Toolkit for Detecting Bias in AI Models cites this paper.

humancompatible.detect: a Python Toolkit for Detecting Bias in AI Models Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:17.175045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.