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Paper Citation Record · LEDGER

Machine Learning for Anomaly Detection in Particle Physics

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2312.14190.

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

pith.paper-citation-record.v1
2312.14190 v1

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measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:35.532021Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T18:56:27.219001Z

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7974ca25-3fb3-4979-997d-a71b74c146e0 · inbound

Quantum similarity learning for anomaly detection cites this paper.

Quantum similarity learning for anomaly detection Machine Learning for Anomaly Detection in Particle Physics

Reference 10

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no resolver link, observed 2026-08-12T20:15:33.019636Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:15:33.019636Z digest=sha256:e8c071fda605ead0eae61c88e09972b67e6bfc91fbf7533432038e4126a0ee57

Observation a02563fc-473d-4323-9825-4d11687d6447 · inbound

Automatizing the search for mass resonances using BumpNet cites this paper.

Automatizing the search for mass resonances using BumpNet Machine Learning for Anomaly Detection in Particle Physics

Reference 20

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no resolver link, observed 2026-08-10T21:16:59.970203Z

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source=pdf_text observed=2026-08-10T21:16:59.970203Z digest=sha256:f2466c1a00b09f65cf32d008609f14d278656e0f44a325ce3a682f9449d8baf9

Observation 19f1b6b7-08a9-414f-a896-6ab92b07f648 · inbound

A Step Toward Interpretability: Smearing the Likelihood cites this paper.

A Step Toward Interpretability: Smearing the Likelihood Machine Learning for Anomaly Detection in Particle Physics

Reference 16

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no resolver link, observed 2026-08-10T20:44:15.520892Z

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source=pdf_text observed=2026-08-10T20:44:15.520892Z digest=sha256:97f561252b8770be311f7641627790bdd7dd80b96e666b741aa4cfd6767138a6

Observation 66b90693-cb56-4fb8-86d5-2a34ed7e3c14 · inbound

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

Enhancing anomaly detection with topology-aware autoencoders Machine Learning for Anomaly Detection in Particle Physics

Reference 1

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no resolver link, observed 2026-08-07T19:19:23.700900Z

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source=pdf_text observed=2026-08-07T19:19:23.700900Z digest=sha256:a6c38ba7bb713c582910d93e0d2e2a7f74b6579f6609a304453e1dccf37a9682

Observation 06188ca4-bd57-4c23-8383-b424d4335669 · inbound

Factorization for Collider Dataspace Correlators cites this paper.

Factorization for Collider Dataspace Correlators Machine Learning for Anomaly Detection in Particle Physics

Reference 51

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no resolver link, observed 2026-08-16T12:40:35.532021Z

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source=pdf_text observed=2026-08-16T12:40:35.532021Z digest=sha256:21ca000491298cff4fe0ecf6993feb35af645f2e71a11c388261701e759ac162

Observation 1e586aa9-2cd1-42b8-8223-7994db64d22e · inbound

Search for new physics in final states with semi-visible jets or anomalous signatures using the ATLAS detector cites this paper.

Search for new physics in final states with semi-visible jets or anomalous signatures using the ATLAS detector Machine Learning for Anomaly Detection in Particle Physics

Reference 10

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no resolver link, observed 2026-08-16T04:19:57.928872Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:19:57.928872Z digest=sha256:733ced8e15fa5a6fabadd266c4ef2da15bb278930551fd5e132de4709ae233f2

Observation 3ff2ccf9-cb88-49c4-b388-ffe6e446d05a · inbound

Generator Based Inference (GBI) cites this paper.

Generator Based Inference (GBI) Machine Learning for Anomaly Detection in Particle Physics

Reference 10

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no resolver link, observed 2026-08-07T12:16:18.857982Z

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source=pdf_text observed=2026-08-07T12:16:18.857982Z digest=sha256:a0149f82422a23afb2bd597fbb9aa28845c8ffc1942cf11bac6f84d014a947cb

Observation d57de07c-646b-4a0e-a8de-e21dc07b0e41 · inbound

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

Graph theory inspired anomaly detection at the LHC Machine Learning for Anomaly Detection in Particle Physics

Reference 17

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no resolver link, observed 2026-08-15T18:31:42.849094Z

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source=pdf_text observed=2026-08-15T18:31:42.849094Z digest=sha256:074ccf99a87682692b960a30bef6683626390d34d122adca7feb073724ca3fec

Observation 9649d0de-eac6-48c7-80ef-69ec8f73d954 · inbound

Shedding Light on Dark Matter at the LHC with Machine Learning cites this paper.

Shedding Light on Dark Matter at the LHC with Machine Learning Machine Learning for Anomaly Detection in Particle Physics

Reference 27

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no resolver link, observed 2026-08-04T16:19:45.707814Z

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source=pdf_text observed=2026-08-04T16:19:45.707814Z digest=sha256:95cf130dd7d3b929a9cd3196f158195ad475b15a8c244e4a921ed6cb44073a33

Observation 18064867-2f9c-4a74-a00f-abcb32a3a09c · inbound

Look everywhere effects in anomaly detection cites this paper.

Look everywhere effects in anomaly detection Machine Learning for Anomaly Detection in Particle Physics

Reference 12

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no resolver link, observed 2026-08-03T16:25:10.562653Z

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source=pdf_text observed=2026-08-03T16:25:10.562653Z digest=sha256:608baf5213243662da001120517dba077d98cb0846b05f7466142de1515dc025

Observation c63565a1-1066-4c37-8d94-1c5064c382eb · inbound

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

Explicit or Implicit? Encoding Physics at the Precision Frontier Machine Learning for Anomaly Detection in Particle Physics

Reference 50

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no resolver link, observed 2026-08-03T02:35:33.327806Z

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Unavailable: canonical work link unavailable.

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Observation 7aa11f76-32f0-4c23-a1bf-159177cc170c · inbound

Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach cites this paper.

Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach Machine Learning for Anomaly Detection in Particle Physics

Reference 1

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metadata mismatch
arxiv_id, observed 2026-05-11T00:15:51.554195Z

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.

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Observation 0a7a6f8c-7439-45b1-8ccd-d353629a9329 · inbound

Kitchen Sink Anomaly Detection cites this paper.

Kitchen Sink Anomaly Detection Machine Learning for Anomaly Detection in Particle Physics

Reference 10

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verified exact
arxiv_id, observed 2026-05-11T14:06:04.191323Z

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.

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Observation 8e23ddf2-ecb0-4ed3-bec6-abb264dca8a8 · inbound

Bump Hunting Inside Jets with Energy Correlators cites this paper.

Bump Hunting Inside Jets with Energy Correlators Machine Learning for Anomaly Detection in Particle Physics

Reference 20

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verified exact
arxiv_id, observed 2026-06-29T11:13:20.617472Z

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.

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Observation 66eb5989-2e2d-4d3b-a717-73b03953787c · 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 Machine Learning for Anomaly Detection in Particle Physics

Reference 22

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verified exact
local_arxiv, observed 2026-07-09T18:56:27.220187Z

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.

source=pdf_text observed=2026-07-09T18:52:42.108338Z digest=sha256:07d444ca70ae39999fede8cad4270f1511fe9ad03e19e326149525ca05c912c6

Observation eb5a2def-25db-4b36-ab6b-7b2eaa407337 · 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 Machine Learning for Anomaly Detection in Particle Physics

Reference 54

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no resolver link, observed 2026-08-01T21:19:40.533233Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:19:40.533233Z digest=sha256:4f9c363a2e38b30582903077e9c6692f05cc0a0523385c309f433baa2bd48762

Observation 4258ad21-1a1a-49c2-9b93-4a8118df0b05 · inbound

Simplex Demixing: Disentangling Multiple Light-Flavor Jets at Colliders cites this paper.

Simplex Demixing: Disentangling Multiple Light-Flavor Jets at Colliders Machine Learning for Anomaly Detection in Particle Physics

Reference 48

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no resolver link, observed 2026-07-31T05:57:08.219068Z

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Unavailable: canonical work link unavailable.

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