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Paper Citation Record · LEDGER

Classifying Anomalies THrough Outer Density Estimation (CATHODE)

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2109.00546.

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

pith.paper-citation-record.v1
2109.00546 v3

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measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:31:43.102133Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T18:56:27.216671Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1dc5854b-275e-4bc3-b784-51c5195d0d69 · inbound

Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV cites this paper.

Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV Classifying Anomalies THrough Outer Density Estimation (CATHODE)

Reference 70

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unresolved
no resolver link, observed 2026-08-11T22:14:44.998368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5e11c570-7fda-4664-a221-6a034a7c6ecc · inbound

Enhancing anomaly detection with topology-aware autoencoders cites this paper.

Enhancing anomaly detection with topology-aware autoencoders Classifying Anomalies THrough Outer Density Estimation (CATHODE)

Reference 22

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no resolver link, observed 2026-08-07T19:19:24.147108Z

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Observation ebe4ca20-b436-4050-89f8-0dcae556dd39 · inbound

Generator Based Inference (GBI) cites this paper.

Generator Based Inference (GBI) Classifying Anomalies THrough Outer Density Estimation (CATHODE)

Reference 14

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Observation 73c43927-2fab-408d-a2e0-2998ff9d0888 · inbound

Graph theory inspired anomaly detection at the LHC cites this paper.

Graph theory inspired anomaly detection at the LHC Classifying Anomalies THrough Outer Density Estimation (CATHODE)

Reference 84

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no resolver link, observed 2026-08-15T18:31:43.102133Z

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Observation 8ce51d2f-4cea-40e0-a11d-c3163fc97e97 · inbound

Optimal Transport Event Representation for Anomaly Detection cites this paper.

Optimal Transport Event Representation for Anomaly Detection Classifying Anomalies THrough Outer Density Estimation (CATHODE)

Reference 15

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malformed identifier
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Unavailable: canonical work link unavailable.

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Observation d3d25006-4a7d-48ba-9918-232f8f995c92 · inbound

Look everywhere effects in anomaly detection cites this paper.

Look everywhere effects in anomaly detection Classifying Anomalies THrough Outer Density Estimation (CATHODE)

Reference 30

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no resolver link, observed 2026-08-03T16:25:11.624861Z

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Unavailable: canonical work link unavailable.

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Observation 2991ec2d-a7b5-4e40-8ff5-253820b6e960 · inbound

Explicit or Implicit? Encoding Physics at the Precision Frontier cites this paper.

Explicit or Implicit? Encoding Physics at the Precision Frontier Classifying Anomalies THrough Outer Density Estimation (CATHODE)

Reference 91

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no resolver link, observed 2026-08-03T02:35:37.199071Z

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Observation 563550c6-c3e3-4c00-8507-cf4e70d17050 · inbound

Kitchen Sink Anomaly Detection cites this paper.

Kitchen Sink Anomaly Detection Classifying Anomalies THrough Outer Density Estimation (CATHODE)

Reference 32

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verified exact
arxiv_id, observed 2026-05-11T14:06:04.085646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a79519df-9776-4f85-8eb3-36b4088a3cff · inbound

Time-dependent signals of new physics at the LHC cites this paper.

Time-dependent signals of new physics at the LHC Classifying Anomalies THrough Outer Density Estimation (CATHODE)

Reference 16

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verified exact
arxiv_id, observed 2026-05-13T03:32:12.481197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f5a09931-78d6-47a0-af54-bd6f9ab6c475 · inbound

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky cites this paper.

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $\gamma$-ray sky Classifying Anomalies THrough Outer Density Estimation (CATHODE)

Reference 31

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verified exact
local_arxiv, observed 2026-07-09T18:56:27.217899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0f9b16f9-6d1b-4530-b2c4-20ef90e2e300 · inbound

Learning Standard Model structure from LHC data with Riemannian flow matching cites this paper.

Learning Standard Model structure from LHC data with Riemannian flow matching Classifying Anomalies THrough Outer Density Estimation (CATHODE)

Reference 45

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unresolved
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Unavailable: canonical work link unavailable.

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Observation fd0bcbaa-757e-4d31-9c5c-5e00ca159d2d · inbound

Towards anomaly detection searches for new physics signatures including Higgs bosons with weakly supervised machine learning cites this paper.

Towards anomaly detection searches for new physics signatures including Higgs bosons with weakly supervised machine learning Classifying Anomalies THrough Outer Density Estimation (CATHODE)

Reference 21

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unresolved
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Unavailable: canonical work link unavailable.

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Observation edf9b6a8-3842-41be-9fc1-5e1c9a767e21 · inbound

Mono-X Signal Characterization from Two-component Dark Matter Using a Convolutional Neural Network cites this paper.

Mono-X Signal Characterization from Two-component Dark Matter Using a Convolutional Neural Network Classifying Anomalies THrough Outer Density Estimation (CATHODE)

Reference 56

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unresolved
no resolver link, observed 2026-08-05T04:54:16.592827Z

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Unavailable: canonical work link unavailable.

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Observation c94afa1f-eea7-4cf7-9381-4b4d6cb9374c · inbound

Machine Learning is Good for Physics - and Vice Versa cites this paper.

Machine Learning is Good for Physics - and Vice Versa Classifying Anomalies THrough Outer Density Estimation (CATHODE)

Reference 19

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unresolved
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