Paper Citation Record · LEDGER

Data Depth as a Risk

As of 20 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2507.08518.

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

pith.paper-citation-record.v1
2507.08518 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:27:05.047268Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

47 of 47 outbound references displayed

verified exact3
verified fuzzy21
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 20d68264-0fcf-463c-9b3f-73f9b06ad776 · outbound

This paper cites Latent Space Autoregression for Novelty Detection.

Data Depth as a Risk Latent Space Autoregression for Novelty Detection

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:27:06.178144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e2f8f682-37ac-4c64-906c-70d6c6739369 · outbound

This paper cites Theory of reproducing kernels.

Data Depth as a Risk Theory of reproducing kernels

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:03.936327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29cb305e-c0c0-4d5f-aaf0-17b554ac012d · outbound

This paper cites Learning theory from first principles.

Data Depth as a Risk Learning theory from first principles

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:03.994964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7259dde-14dc-459d-8b48-179d348b50bd · outbound

This paper cites Bartlett and Shahar Mendelson.

Data Depth as a Risk Bartlett and Shahar Mendelson

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.652295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4e341e81-9b5f-41cc-ab4b-20ba151abfab · outbound

This paper cites Classification-based anomaly detection for general data.

Data Depth as a Risk Classification-based anomaly detection for general data

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.635955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c9d2b9ee-bf8e-4c99-acc9-0837b6c0cddf · outbound

This paper cites Reproducing kernel Hilbert spaces in probability and statistics.

Data Depth as a Risk Reproducing kernel Hilbert spaces in probability and statistics

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.617799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1f44b1fa-1b99-4a4f-8e8d-6f7d52963a43 · outbound

This paper cites an unresolved cited work.

Data Depth as a Risk Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:04.269638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ccee690-e977-46ab-90a7-07186877cac7 · outbound

This paper cites Random rotation ensembles.

Data Depth as a Risk Random rotation ensembles

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.600658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 21f83e8a-14cc-4add-8583-235132a5c173 · outbound

This paper cites Convex Optimization.

Data Depth as a Risk Convex Optimization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:04.423024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9c42c3f-c250-43ab-a02c-9cd12ec336f3 · outbound

This paper cites Breunig, Hans-Peter Kriegel, Raymond T.

Data Depth as a Risk Breunig, Hans-Peter Kriegel, Raymond T

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:04.513014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 233a5b73-d022-4b58-86ad-965bc1d14b2e · outbound

This paper cites Fast kernel half-space depth for data with non-convex supports.

Data Depth as a Risk Fast kernel half-space depth for data with non-convex supports

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:27:05.929992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f1a3c60c-e9b6-4a67-9883-29bc104f0179 · outbound

This paper cites Beyond mahalanobis distance for textual ood detection.

Data Depth as a Risk Beyond mahalanobis distance for textual ood detection

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.569123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 90e18804-29e9-42d1-b08e-38c0d2c82e50 · outbound

This paper cites Handbook of Convergence Theorems for (Stochastic) Gradient Methods.

Data Depth as a Risk Handbook of Convergence Theorems for (Stochastic) Gradient Methods

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:04.741729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f21e061-8012-4ee1-bc8e-0910ea33d48f · outbound

This paper cites Deep anomaly detection using geometric transformations.

Data Depth as a Risk Deep anomaly detection using geometric transformations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:04.860587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bb2f569-626c-46c7-b91c-0dcc86250210 · outbound

This paper cites Borgwardt, Malte J.

Data Depth as a Risk Borgwardt, Malte J

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:04.866489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 155e90ff-d8ac-43b1-a742-f2cea98d5fb7 · outbound

This paper cites Faster algorithms for structured linear and kernel support vector machines.

Data Depth as a Risk Faster algorithms for structured linear and kernel support vector machines

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.523093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c824a7f8-23fc-4e32-8dff-c75a49984cd3 · outbound

This paper cites Hadsell, S.

Data Depth as a Risk Hadsell, S

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:04.878081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e6f3811-77fa-4a02-ba9f-66d314bad916 · outbound

This paper cites On the complexity of linear prediction: Risk bounds, margin bounds, and regularization.

Data Depth as a Risk On the complexity of linear prediction: Risk bounds, margin bounds, and regularization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.505553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7f591dcd-39d8-4bfa-a64b-9933f7adaddc · outbound

This paper cites A new measure of rank correlation.

Data Depth as a Risk A new measure of rank correlation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.487200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f88583ad-56d1-41de-ae1a-e190b7b27f96 · outbound

This paper cites Auto-Encoding Variational Bayes.

Data Depth as a Risk Auto-Encoding Variational Bayes

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:04.892900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da24d710-43f8-4d86-8a9c-4340140b11a7 · outbound

This paper cites Mnist handwritten digit database.

Data Depth as a Risk Mnist handwritten digit database

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.470813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 938c90c5-f5b9-42c3-95f4-1cc83550fbc8 · outbound

This paper cites Model compression for deep neural networks: A survey.

Data Depth as a Risk Model compression for deep neural networks: A survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:04.903339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e563e3c-0ebd-4805-9ddf-86901be09ff9 · outbound

This paper cites Risk bounds and calibration for a smart predict-then-optimize method.

Data Depth as a Risk Risk bounds and calibration for a smart predict-then-optimize method

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.451545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 35aa8623-f215-4ad5-b959-7c4e27a20928 · outbound

This paper cites Liu and Kesar Singh and.

Data Depth as a Risk Liu and Kesar Singh and

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:04.915399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75f3a794-b1de-4d20-a2da-88a39c9ee53b · outbound

This paper cites Beyond least-squares: Fast rates for regularized empirical risk minimization through self-concordance.

Data Depth as a Risk Beyond least-squares: Fast rates for regularized empirical risk minimization through self-concordance

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.433857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5cd2586f-cb8e-47e5-9db8-9084c211ccb2 · outbound

This paper cites A vector-contraction inequality for rademacher complexities.

Data Depth as a Risk A vector-contraction inequality for rademacher complexities

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:04.926315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 541ff01f-21fb-4736-a5fe-1bb014936afc · outbound

This paper cites Anomaly detection using data depth: multivariate case.

Data Depth as a Risk Anomaly detection using data depth: multivariate case

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:27:05.625079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1690f67c-500c-4338-8487-d62e412b70f5 · outbound

This paper cites Nonparametric imputation by data depth.

Data Depth as a Risk Nonparametric imputation by data depth

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:04.937207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 079306f6-ec32-42d8-9bc9-b4fd636a9e8e · outbound

This paper cites Combining statistical depth and fermat distance for uncertainty quantification.

Data Depth as a Risk Combining statistical depth and fermat distance for uncertainty quantification

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.415932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 86257d6d-33a2-4bca-bb38-dd971a7219b3 · outbound

This paper cites Pedregosa, G.

Data Depth as a Risk Pedregosa, G

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:04.946656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 537a47a1-9103-4779-9f90-45a5a9a9deae · outbound

This paper cites Ocgan: One-class novelty detection using gans with constrained latent representations.

Data Depth as a Risk Ocgan: One-class novelty detection using gans with constrained latent representations

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:04.957421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93d05f98-4544-4078-992a-eec2d20960f2 · outbound

This paper cites A halfspace-mass depth-based method for adversarial attack detection.

Data Depth as a Risk A halfspace-mass depth-based method for adversarial attack detection

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.387248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 08e766cd-58c6-46d8-aa42-f08d8474e51e · outbound

This paper cites Outlier detection datasets (odds) library, 2016.

Data Depth as a Risk Outlier detection datasets (odds) library, 2016

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.369762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c6b05da4-ab33-440d-a8d6-9bf8cbfb7a15 · outbound

This paper cites Reid and Robert C.

Data Depth as a Risk Reid and Robert C

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.350058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c7fbdfef-d48f-45ef-8a64-6b3c9e1bd527 · outbound

This paper cites Deep one-class classification.

Data Depth as a Risk Deep one-class classification

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:04.978736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b51bdbc-64dc-42d2-a1f1-7dd4b3690263 · outbound

This paper cites Waldstein, Ursula Schmidt - Erfurth, and Georg Langs.

Data Depth as a Risk Waldstein, Ursula Schmidt - Erfurth, and Georg Langs

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:04.983944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03996f26-9668-42b2-abe9-c10d6972693a · outbound

This paper cites Platt, John Shawe-Taylor, Alex J.

Data Depth as a Risk Platt, John Shawe-Taylor, Alex J

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:04.988879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 274e633b-c511-41fc-8294-92431f8135ab · outbound

This paper cites Spearman.

Data Depth as a Risk Spearman

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:04.994936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 636b5172-425a-4478-960b-fa328fb91089 · outbound

This paper cites Support Vector Machines.

Data Depth as a Risk Support Vector Machines

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.309548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 578cfd97-ccc9-4b18-9161-026f3a649cc7 · outbound

This paper cites Mathematics and the picturing of data.

Data Depth as a Risk Mathematics and the picturing of data

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.294043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22484230-073c-45e1-ab33-9e07ca0458c1 · outbound

This paper cites Conditional image generation with pixelcnn decoders.

Data Depth as a Risk Conditional image generation with pixelcnn decoders

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.277105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7df70243-8e07-4df3-8cfb-abcd68ae7aa8 · outbound

This paper cites an unresolved cited work.

Data Depth as a Risk Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:27:06.259121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 05da26d9-b320-4edc-9f4e-08fc818f81ce · outbound

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

Data Depth as a Risk Optimal transport: Old and New , volume 338

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.242651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d9ef187f-685f-4ab9-9160-1a4cb7178009 · outbound

This paper cites One-class anomaly detection via novelty normalization.

Data Depth as a Risk One-class anomaly detection via novelty normalization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:05.028905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00dcfa3a-95d1-48dc-9c5a-29105e7b479e · outbound

This paper cites Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms, 2017.

Data Depth as a Risk Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms, 2017

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:05.034564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cb6ac70-e4ae-4523-89c4-90ac94c4fd5e · outbound

This paper cites Deep structured energy based models for anomaly detection.

Data Depth as a Risk Deep structured energy based models for anomaly detection

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.211968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9f7f2272-4415-4b67-8094-05fe0e1e8183 · outbound

This paper cites Deep autoencoding gaussian mixture model for unsupervised anomaly detection.

Data Depth as a Risk Deep autoencoding gaussian mixture model for unsupervised anomaly detection

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:06.195476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.