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Paper Citation Record · LEDGER

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators

As of 17 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2507.06055.

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

pith.paper-citation-record.v1
2507.06055 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:20:59.767811Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

49 of 49 outbound references displayed

  • verified exact2
  • verified fuzzy42
  • unresolved5
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6587658d-b585-415f-bfe0-93edf4e6b47d · outbound

This paper cites Integral probability metrics PAC-bayes bounds.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Integral probability metrics PAC-bayes bounds

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.648041Z digest=sha256:3e08f1d59e3c9781453566dba435a207c64dc550410ea981d0ece30049363b8c

Observation 24020605-213b-4faf-9dab-7ce8896a6e92 · outbound

This paper cites Maximum Mean Discrepancy Gradient Flow.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Maximum Mean Discrepancy Gradient Flow

Reference 2

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cd92cf21-ec23-4783-805a-f456e528a16e · outbound

This paper cites Wasserstein generative adversarial networks.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Wasserstein generative adversarial networks

Reference 3

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 38230e5f-5b2b-4b1b-b790-89489933f981 · outbound

This paper cites Sur les matrices hypohermitiennes et sur les matrices unitaires.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Sur les matrices hypohermitiennes et sur les matrices unitaires

Reference 4

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.656700Z digest=sha256:c030f603bab70b1ae46cdb303afd6b5e0e98155bfb456bc36c130198d40919fe

Observation a46f85ab-ac01-4a6e-ab6f-ec6e02c49b36 · outbound

This paper cites Information theory with kernel methods.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Information theory with kernel methods

Reference 5

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.658975Z digest=sha256:30109025b94fad1fdc8e8bf359852adc8bf1b5d840c268c889dc8792911dc701

Observation 68207e7c-04a7-4839-8de1-52b5277cb201 · outbound

This paper cites Statistical Inference: the Minimum Distance Approach.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Statistical Inference: the Minimum Distance Approach

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.661929Z digest=sha256:546b479e0f4574b91136a39ecfc34e5f56e5ea20aec4be5f1bd05e82c8b5a551

Observation 084f986c-33c8-4335-abf2-ed763a8e3c97 · outbound

This paper cites Approximate Bayesian computation with the Wasserstein distance.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Approximate Bayesian computation with the Wasserstein distance

Reference 7

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Observation c150529a-5656-43c1-b4aa-fcdf859b242a · outbound

This paper cites On the Bures-Wasserstein distance between positive definite matrices.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators On the Bures-Wasserstein distance between positive definite matrices

Reference 8

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Source-reported events for the cited work

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Observation 4a973a73-7319-42c4-93b3-237f92dc3e5c · outbound

This paper cites (f, Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators (f, Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 536ea9bf-1089-4848-8200-906f107475ca · outbound

This paper cites Statistical properties of kernel principal component analysis.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Statistical properties of kernel principal component analysis

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:20:59.670725Z digest=sha256:fba2366abe6e854a4ebbff7c17f5d892f645a025625f06f5707d6419f8f73cd7

Observation 36d20018-277b-4d2e-90fa-7cc14d5e9ad5 · outbound

This paper cites Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation df7c83c8-e7f5-47ca-8856-096e49c0ffb5 · outbound

This paper cites (De)-regularized Maximum Mean Discrepancy Gradient Flow.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators (De)-regularized Maximum Mean Discrepancy Gradient Flow

Reference 12

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4c8030ca-d1ac-42b2-bfe5-5196ae5c5bfb · outbound

This paper cites Testing for homogeneity with kernel fisher discriminant analysis.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Testing for homogeneity with kernel fisher discriminant analysis

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 60df471f-e57d-4d50-ad41-2aaea17453a9 · outbound

This paper cites Testing for homogeneity with kernel Fisher discriminant analysis.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Testing for homogeneity with kernel Fisher discriminant analysis

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3e30e6b6-6eb2-4b5f-9a73-d8f5a1b59acf · outbound

This paper cites Interpolating between Optimal Transport and MMD using Sinkhorn Divergences.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Interpolating between Optimal Transport and MMD using Sinkhorn Divergences

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T19:21:00.152240Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 759e5d7e-0f3b-4b61-a4a2-778a2ca3b7bc · outbound

This paper cites Robust and Efficient Approximate Bayesian Computation: A Minimum Distance Approach.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Robust and Efficient Approximate Bayesian Computation: A Minimum Distance Approach

Reference 16

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no resolver link, observed 2026-08-06T19:20:59.684064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:20:59.684064Z digest=sha256:89755730e0cdf495043def17d35331f3e79f3470e45f1e88db73b9fad2da9af8

Observation 30272e63-d53e-4a4b-b568-1f20139dcb04 · outbound

This paper cites Cryptographic distinguishability measures for quantum-mechanical states.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Cryptographic distinguishability measures for quantum-mechanical states

Reference 17

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.687031Z digest=sha256:709a59a9cc60a9a1d3a8037d2b55049620b2da9efc62a7f5337c209f3805ab65

Observation 2d6625bb-f561-4f5e-8226-e34458b9a057 · outbound

This paper cites Learning Generative Models with Sinkhorn Divergences.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Learning Generative Models with Sinkhorn Divergences

Reference 18

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.689348Z digest=sha256:156085d5bb563a95251981e3ae5c832174cc33278deffe8118f10949afbab3ad

Observation 4da7b0b1-db79-4ae8-837e-1ee3634efeb6 · outbound

This paper cites Generative Adversarial Nets.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Generative Adversarial Nets

Reference 19

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4f49a3f0-abf1-4d43-a659-4a6472596647 · outbound

This paper cites A Kernel Two-Sample Test.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators A Kernel Two-Sample Test

Reference 20

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5d616210-90e1-4c9a-949b-179ce0e0d7f3 · outbound

This paper cites Spectral Regularized Kernel Goodness-of-Fit Tests.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Spectral Regularized Kernel Goodness-of-Fit Tests

Reference 21

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 587e5a92-48ed-4175-a2e3-4a64618c57a7 · outbound

This paper cites Generative Sliced MMD Flows with Riesz Kernels.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Generative Sliced MMD Flows with Riesz Kernels

Reference 22

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no resolver link, observed 2026-08-06T19:20:59.698638Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:20:59.698638Z digest=sha256:8ed6f192c7baa5f98f3da41a7495009651356430e3fac3b6ad7cd4a8f0d855be

Observation d5325d6e-c47d-4572-8c9e-f51dab29fd6c · outbound

This paper cites Robust Estimation of a Location Parameter.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Robust Estimation of a Location Parameter

Reference 23

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ea90812a-1669-43c0-bb56-f21e911e3389 · outbound

This paper cites Adversarial interpretation of Bayesian inference.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Adversarial interpretation of Bayesian inference

Reference 24

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9e51d2ba-5997-42e0-ab00-ff9a31a1fb21 · outbound

This paper cites Approximate Bayesian computation with Kullback-Leibler divergence as data discrepancy.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Approximate Bayesian computation with Kullback-Leibler divergence as data discrepancy

Reference 25

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 76480077-652d-4b97-bf80-dd2320c1e99f · outbound

This paper cites Approximation by finitely supported measures.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Approximation by finitely supported measures

Reference 26

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ebe66d80-d5e4-4262-b393-be28c1f937b4 · outbound

This paper cites Kernel stein discrepancy descent.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Kernel stein discrepancy descent

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 08f0ac0d-0479-4c01-a694-30c378581f55 · outbound

This paper cites Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity

Reference 28

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local_arxiv, observed 2026-08-06T19:20:59.800798Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ecdd309c-67dd-44ef-a8fa-86845fe47862 · outbound

This paper cites Mmd gan: Towards deeper understanding of moment matching network.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Mmd gan: Towards deeper understanding of moment matching network

Reference 29

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raw_fallback, observed 2026-08-06T19:21:00.069973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.715584Z digest=sha256:011d59443236296534046e88175cdb7ade3bad528cee361435582b12459f7abd

Observation f28da189-bc29-41cd-b21f-0a3d9210e533 · outbound

This paper cites Lindsay, Marianthi Markatou, Surajit Ray, Ke Yang, and Shu-Chuan Chen.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Lindsay, Marianthi Markatou, Surajit Ray, Ke Yang, and Shu-Chuan Chen

Reference 30

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raw_fallback, observed 2026-08-06T19:21:00.061585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.718039Z digest=sha256:94ac54ee6a4507200435b5803c81b7e4e4ea7e9dd50b9b8f49abe11044d27ad6

Observation 1d91b931-a382-4c5d-9f24-5250c3fe1244 · outbound

This paper cites Mcgan: Mean and covariance feature matching gan.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Mcgan: Mean and covariance feature matching gan

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T19:21:00.054301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.720266Z digest=sha256:1e282981291d2e9151877fda65ba7bb67d750c7b56d90f7f80f8734cd8dce58a

Observation 8c2558ca-387a-472b-8f9f-5f7c4157d3b2 · outbound

This paper cites Integral Probability Metrics and Their Generating Classes of Functions.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Integral Probability Metrics and Their Generating Classes of Functions

Reference 32

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raw_fallback, observed 2026-08-06T19:21:00.047130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.722343Z digest=sha256:6ed08e81652d23581daa568802632c689603046c8bef62319aaea52c9077329e

Observation 6eb8c7f3-3f30-4a12-8a8a-bd322a179d81 · outbound

This paper cites Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces

Reference 33

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unresolved
no resolver link, observed 2026-08-06T19:20:59.724462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:20:59.724462Z digest=sha256:da0dade1f5e02bedc299dfa2f26958df349eaa6764ce644c02dd0108f70dcb22

Observation 08641efc-b6c6-48ea-91db-cb91e48483f7 · outbound

This paper cites A novel kernel Wasserstein distance on Gaussian measures: an application of identifying dental artifacts in head and neck computed tomography.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators A novel kernel Wasserstein distance on Gaussian measures: an application of identifying dental artifacts in head and neck computed tomography

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-06T19:21:00.039946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.727494Z digest=sha256:c2bf38a4beb33e5691da39c0518cde65c97445beaef119d42a33beba75431471

Observation 9c254f0c-f27b-4016-b81a-61f00733fec3 · outbound

This paper cites On the Sample Complexity of Subspace Learning.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators On the Sample Complexity of Subspace Learning

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.729841Z digest=sha256:9f72e1a92daf005eefd096f49e109bc0109d54af48a9695a3fdabd0041b6734b

Observation bc538f11-8bdf-4421-adcf-04e6e8db5979 · outbound

This paper cites Equivalence of distance-based and rkhs-based statistics in hypothesis testing.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Equivalence of distance-based and rkhs-based statistics in hypothesis testing

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:00.025030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.732562Z digest=sha256:2248973c2b68138dde9fea6dda8c291d03852a2c481fc5816afdd1c51c3fcc91

Observation 48178d38-e2af-467f-a0a0-76d071656332 · outbound

This paper cites Trace ideals and their applications.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Trace ideals and their applications

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:00.017128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.734749Z digest=sha256:b5f4123845fd8cdff3b047a532ddf8b529227e626bf7006e26e86d5df775356b

Observation 975d4f3b-7efa-4efc-885e-dda72452754c · outbound

This paper cites Approximate kernel PCA: Computational versus statistical trade-off.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Approximate kernel PCA: Computational versus statistical trade-off

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:00.009053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.737908Z digest=sha256:8e9b56821bb25a773c3ed66b8be66d05f2d7a69c32f7bed2b1a2c6d7b65818a8

Observation 73a9a405-e902-405e-9eb4-9b51f78d4d0e · outbound

This paper cites Non-parametric Estimation of Integral Probability Metrics.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Non-parametric Estimation of Integral Probability Metrics

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:00.001122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.740370Z digest=sha256:7e110a57817f5142f5e9c65090adfc285dbf30d98069ba215dff67e9f2f3a9e3

Observation affc4d0a-110d-44e6-8291-94c9984f931f · outbound

This paper cites On the Influence of the Kernel on the Consistency of Support Vector Machines.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators On the Influence of the Kernel on the Consistency of Support Vector Machines

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:59.993159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.743017Z digest=sha256:4c42c73b33e04daefc6b666c226853dd88349ae780c41e793946f226d00f5cb5

Observation 4e5284e7-e41d-4563-93fe-b57d8668637e · outbound

This paper cites Statistical Optimality and Computational Efficiency of Nystrom Kernel PCA.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Statistical Optimality and Computational Efficiency of Nystrom Kernel PCA

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:59.984468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.745672Z digest=sha256:6e1f42f62cca48713e917423d0f27f5d2158ba5370c8ffb5d23b2e5beba91322

Observation 0e000a94-b0e5-4bc7-8908-bb274b127c9f · outbound

This paper cites Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:59.975826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.748391Z digest=sha256:11a0c646f40e0d49a1817b925681735d3cb431031ee60f19ca427ec070447a70

Observation 4f74fe9e-f87d-42dd-8437-2568616a5a08 · outbound

This paper cites On an Algebraic Problem reluted to an Analytic Theorem of Carath \'e odory and Fej \'e r and on an Allied Theorem of Landau.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators On an Algebraic Problem reluted to an Analytic Theorem of Carath \'e odory and Fej \'e r and on an Allied Theorem of Landau

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:59.966901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.751197Z digest=sha256:0c971fddefedaace7da2b9ae06318fa2f9077ae2776abf94b931de6f90438316

Observation fd82c879-2307-4294-992e-4abbd90702bb · outbound

This paper cites Inferring coalescence times from DNA sequence data.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Inferring coalescence times from DNA sequence data

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:59.958593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.754293Z digest=sha256:39aac76416f2656608188b31add17799c3a003c46ac887f799ae6528bb2d2bb3

Observation eaf53011-73bd-4bea-8c3f-fca63176dda0 · outbound

This paper cites An Introduction to Matrix Concentration Inequalities.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators An Introduction to Matrix Concentration Inequalities

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:59.948855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.756820Z digest=sha256:9ebf2ed9971701f228446b714a17619a4f4c7de348822e8d3d29dc08c4f500d8

Observation 21b429bf-e79f-46b7-a886-9aa950e31587 · outbound

This paper cites Optimal transport: Old and New , volume 338.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Optimal transport: Old and New , volume 338

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T19:20:59.760314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:20:59.760314Z digest=sha256:4d11e95a06a94cdbf442e07467810b715de26ae1a50ceb3044d39b6723406320

Observation 066b38bd-3f9b-4c26-977f-d026d559098c · outbound

This paper cites The Theory of Quantum Information.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators The Theory of Quantum Information

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:59.935854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.762528Z digest=sha256:66b4e4d1a94e28e00a692f9bdfd791db5e82256c88026bca6cdccfff5f64b631

Observation 23718b82-1c14-4343-8ee1-50f5966de703 · outbound

This paper cites The Minimum Distance Method.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators The Minimum Distance Method

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:59.927609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.765474Z digest=sha256:dba136ae5d367b0bd53bb07c4b99492f31473e1ddb853dd0df0901083c4981b8

Observation e661c73e-eb5c-4a3e-9d58-2f16930843dc · outbound

This paper cites Optimal transport in reproducing kernel hilbert spaces: Theory and applications.

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators Optimal transport in reproducing kernel hilbert spaces: Theory and applications

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:20:59.920049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T19:20:59.767811Z digest=sha256:895370b940316078cb84072e09fc0e259ccf9a1700a917c22e9f2340deb881f3

Pith citing papers

No inbound Pith citation observations are available.