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Paper Citation Record · LEDGER

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics

As of 29 July 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2503.23927.

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

pith.paper-citation-record.v1
2503.23927 v3

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T22:40:32.806137Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-29T08:13:00.99439+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T19:25:51.536340Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-19T19:27:43.495222Z

Reference resolution

33 of 33 outbound references displayed

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External citation measurements

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Outbound references

Observation c27f0c22-eddb-4cd0-95b3-bac362bb0560 · outbound

This paper cites Borgwardt, Malte J.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Borgwardt, Malte J

Reference 1

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Observation a20f4376-0558-462d-8aaa-a2c05258e507 · outbound

This paper cites Testing for equal distributions in high dimension.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Testing for equal distributions in high dimension

Reference 2

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Observation dae18984-d163-43a1-a2b4-d1f9198ec984 · outbound

This paper cites Sz´ ekely and Maria L.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Sz´ ekely and Maria L

Reference 3

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Observation 185e2087-ca3f-4180-895c-46ee13ea9395 · outbound

This paper cites Friedman and Lawrence C.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Friedman and Lawrence C

Reference 4

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Observation f8adb8e6-14c7-496f-adf0-c6f07d275ba6 · outbound

This paper cites Schilling.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Schilling

Reference 5

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Observation 8a1464c1-b8a1-4ab8-a4b0-0a3a0bb774a6 · outbound

This paper cites Anomaly detection with density estimation.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Anomaly detection with density estimation

Reference 6

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Observation 5034f806-fad2-4049-8949-88b9dbea4a2f · outbound

This paper cites Classifying anomalies through outer density estimation.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Classifying anomalies through outer density estimation

Reference 7

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Observation 8cb6c428-44a8-47ac-bc7a-7017a42faec8 · outbound

This paper cites Trillos, and Marco Cuturi.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Trillos, and Marco Cuturi

Reference 8

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Observation d84ebe8b-53a5-4f92-acc1-3f4834fc88f4 · outbound

This paper cites Pqmass: Probabilistic assessment of the quality of generative models using probability mass estimation.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Pqmass: Probabilistic assessment of the quality of generative models using probability mass estimation

Reference 9

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Observation 30001fe8-6bf7-4f5b-990b-cf0845fedd74 · outbound

This paper cites Kauffmann, Robert A.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Kauffmann, Robert A

Reference 10

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Observation e0273d62-d42b-4ec4-9ead-e4cd553b29f8 · outbound

This paper cites Automatic topography of high-dimensional data sets by non-parametric density peak clustering.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Automatic topography of high-dimensional data sets by non-parametric density peak clustering

Reference 11

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Observation b488ef9c-e61d-4ec6-97cc-b23946a1fd43 · outbound

This paper cites Dadapy: Distance-based analysis of data- manifolds in python.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Dadapy: Distance-based analysis of data- manifolds in python

Reference 12

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Observation d48ce999-73ce-41c4-9f0e-09ed134f4ade · outbound

This paper cites Fr¨ uhwirth and R.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Fr¨ uhwirth and R

Reference 13

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Observation 2156745e-76c1-4b05-89f8-ef2185515c4f · outbound

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Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Unresolved cited work

Reference 14

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Observation feb18907-e874-43e9-86c9-fd65403b726a · outbound

This paper cites Lhc machine.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Lhc machine

Reference 15

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Observation 849db86b-f6f6-424c-8e4a-1b3762b80db9 · outbound

This paper cites an unresolved cited work.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Unresolved cited work

Reference 16

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Observation 1ddac957-2804-452f-ba51-776d7389d7ca · outbound

This paper cites Observation of a new particle in the search for the standard model higgs boson with the atlas detector at the lhc.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Observation of a new particle in the search for the standard model higgs boson with the atlas detector at the lhc

Reference 17

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Observation e78da95c-3ebc-45e7-881c-37c3e22a4b6b · outbound

This paper cites Observation of a new boson at a mass of 125 gev with the cms experiment at the lhc.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Observation of a new boson at a mass of 125 gev with the cms experiment at the lhc

Reference 18

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Observation ce9f9862-5504-4907-94c8-613667a0a899 · outbound

This paper cites The lhc olympics 2020 a commu- nity challenge for anomaly detection in high energy physics.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics The lhc olympics 2020 a commu- nity challenge for anomaly detection in high energy physics

Reference 19

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Observation b3d1fd9b-69c9-4150-b3fd-0958b4642fd7 · outbound

This paper cites The motivation and status of two-body resonance decays after the lhc run 2 and beyond.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics The motivation and status of two-body resonance decays after the lhc run 2 and beyond

Reference 20

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Observation 2f393c81-20cf-40b4-8689-2a9866dc9a44 · outbound

This paper cites Salam, and Gregory Soyez.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Salam, and Gregory Soyez

Reference 21

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Observation 29f702a3-5efb-4b40-8043-490140a616fd · outbound

This paper cites Collins, Pablo Mart´ ın-Ramiro, Benjamin Nachman, and David Shih.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Collins, Pablo Mart´ ın-Ramiro, Benjamin Nachman, and David Shih

Reference 22

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Observation 49cc61af-372e-4c09-b64b-9fb4eecf0321 · outbound

This paper cites Identifying boosted objects with n-subjettiness.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Identifying boosted objects with n-subjettiness

Reference 23

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Observation d69002ea-ad33-44fe-aa7a-2fe2312fba99 · outbound

This paper cites Dillon, and Jernej F.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Dillon, and Jernej F

Reference 24

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Observation 387f97b1-e750-4027-8886-363f42877a49 · outbound

This paper cites Modern machine learning for lhc physicists.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Modern machine learning for lhc physicists

Reference 25

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Observation 4256337f-4fac-4f61-8e22-a564486838b9 · outbound

This paper cites Asymptotic formulae for likelihood- based tests of new physics.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Asymptotic formulae for likelihood- based tests of new physics

Reference 26

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Observation a30cc8c2-79e6-4a76-8ea8-865ab1cf3c57 · outbound

This paper cites Ncep-ncar reanalysis 1.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Ncep-ncar reanalysis 1

Reference 27

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Observation e594c66a-ae6a-4082-9077-ae4289cbb9dd · outbound

This paper cites Unsupervised detection of large-scale weather patterns in the northern hemisphere via markov state modelling: from blockings to teleconnections.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Unsupervised detection of large-scale weather patterns in the northern hemisphere via markov state modelling: from blockings to teleconnections

Reference 28

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No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

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Observation e919cf5e-f555-42b2-9551-381ebbb17665 · outbound

This paper cites The teacher’s corner: A comparison of binomial approximations to the hypergeometric distribution.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics The teacher’s corner: A comparison of binomial approximations to the hypergeometric distribution

Reference 29

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No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

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Observation 73b1ffdc-9170-4e16-8c13-1ef8d0a63006 · outbound

This paper cites an unresolved cited work.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Unresolved cited work

Reference 30

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Observation cb7a5bca-2e3c-4c3e-9fa4-130c9c5351be · outbound

This paper cites DS4ASTRO: Data Science methods for Multi-Messenger Astrophysics & Multi-Survey Cosmology.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics DS4ASTRO: Data Science methods for Multi-Messenger Astrophysics & Multi-Survey Cosmology

Reference 31

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Observation 0ad153e9-6db6-4de8-9baa-4f584d6a3256 · outbound

This paper cites Consequently, the anomalous points in the test set become more diluted, simultaneously resulting in an increased cardinality of the repˆ echage set,|Yanom α=1 |.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Consequently, the anomalous points in the test set become more diluted, simultaneously resulting in an increased cardinality of the repˆ echage set,|Yanom α=1 |

Reference 32

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No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

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Observation aa92c1d9-c433-4428-9640-b8252f259404 · outbound

This paper cites global significance.

Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics global significance

Reference 33

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No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

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Pith citing papers

Observation fc9fa969-2db6-4677-b4de-8824367fdcd1 · inbound

Unsupervised Domain Shift Detection with Interpretable Subspace Attribution cites this paper.

Unsupervised Domain Shift Detection with Interpretable Subspace Attribution Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics

Reference 12

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local_arxiv, observed 2026-05-19T19:27:43.496900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-29T08:13:00.99439+00:00.

source=pdf_text observed=2026-05-19T19:25:51.536340Z digest=sha256:9f368fc65596e2ec06975dab4ad625a59fffd6afcd4592c08ec05aaaea1e5a94