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Paper Citation Record · LEDGER

Masked Diffusion Modeling for Anomaly Detection

As of 5 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2605.30046.

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

pith.paper-citation-record.v1
2605.30046 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T09:14:17.683170Z

measured 55 of 55 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

55 of 55 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved49
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e908aac-9f38-440a-9419-cd6908b0d44f · outbound

This paper cites Anomaly detection: A survey.ACM computing surveys (CSUR), 41(3):1–58, 2009.

Masked Diffusion Modeling for Anomaly Detection Anomaly detection: A survey.ACM computing surveys (CSUR), 41(3):1–58, 2009

Reference 1

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Observation 66638b27-9d19-4755-842c-118c1ea5f9a0 · outbound

This paper cites A unifying review of deep and shallow anomaly detection.Proceedings of the IEEE, 109(5):756–795, 2021.

Masked Diffusion Modeling for Anomaly Detection A unifying review of deep and shallow anomaly detection.Proceedings of the IEEE, 109(5):756–795, 2021

Reference 2

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Observation 4fe93044-0258-41be-a04b-fbd9f8bcbf23 · outbound

This paper cites Deep learning for anomaly detection: A review.ACM Computing Surveys (CSUR), 54(2):1–38, 2021.

Masked Diffusion Modeling for Anomaly Detection Deep learning for anomaly detection: A review.ACM Computing Surveys (CSUR), 54(2):1–38, 2021

Reference 3

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Observation a2f6ace4-df95-48e2-8a9b-173c249fee25 · outbound

This paper cites Sensor fault and patient anomaly detection and classification in medical wireless sensor networks.

Masked Diffusion Modeling for Anomaly Detection Sensor fault and patient anomaly detection and classification in medical wireless sensor networks

Reference 4

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:7f506a829c508cdb9de3a630e34fc35d07905f4782e30a83b83e9556c1ceb0e9

Observation 1b5c5543-7631-4771-8510-4d012d296883 · outbound

This paper cites Anomaly detection in medical wireless sensor networks using machine learning algorithms.Procedia Computer Science, 70:325–333, 2015.

Masked Diffusion Modeling for Anomaly Detection Anomaly detection in medical wireless sensor networks using machine learning algorithms.Procedia Computer Science, 70:325–333, 2015

Reference 5

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:9d947a296387638dd102bda7b083fc6c1c656b06aa62bbd15b179e08bd4a41be

Observation 21e0fb32-b2f0-47ac-8cb6-323f733fae00 · outbound

This paper cites A survey of anomaly detection techniques in financial domain.Future Generation Computer Systems, 55:278–288, 2016.

Masked Diffusion Modeling for Anomaly Detection A survey of anomaly detection techniques in financial domain.Future Generation Computer Systems, 55:278–288, 2016

Reference 6

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:19afdb8fdbf6ef45489673b54e1b2e3039622a261096120f29b92b4d1caf8cf5

Observation a051e33f-110b-47a6-b558-e9ee15d4b4eb · outbound

This paper cites Anomaly detection approaches for semiconductor manufacturing.Procedia Manufacturing, 11:2018–2024, 2017.

Masked Diffusion Modeling for Anomaly Detection Anomaly detection approaches for semiconductor manufacturing.Procedia Manufacturing, 11:2018–2024, 2017

Reference 7

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:64443246414a9361136dfdd448d448d5373774cd3d8726ff73ad40dfea570c8c

Observation 16619a3d-ff12-4aed-adea-c64bef6dd117 · outbound

This paper cites Challenges for unsupervised anomaly detection in particle physics.Journal of High Energy Physics, 2022(3):66, 2022.

Masked Diffusion Modeling for Anomaly Detection Challenges for unsupervised anomaly detection in particle physics.Journal of High Energy Physics, 2022(3):66, 2022

Reference 8

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Observation c22610fd-20d6-4c3d-ad68-7ad9bd03280c · outbound

This paper cites Telemetry-mining: a machine learning approach to anomaly detection and fault diagnosis 12 for space systems.

Masked Diffusion Modeling for Anomaly Detection Telemetry-mining: a machine learning approach to anomaly detection and fault diagnosis 12 for space systems

Reference 9

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Observation e7de8a38-ccaf-48a8-88a6-f1ef029762f1 · outbound

This paper cites Anomaly detection methods for categorical data: A review.ACM Computing Surveys (CSUR), 52(2):1–35, 2019.

Masked Diffusion Modeling for Anomaly Detection Anomaly detection methods for categorical data: A review.ACM Computing Surveys (CSUR), 52(2):1–35, 2019

Reference 10

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Observation 41fdbd91-a4b0-4789-9b78-b7a79adfa6df · outbound

This paper cites Adbench: Anomaly detection benchmark.Advances in Neural Information Processing Systems, 35:32142–32159, 2022.

Masked Diffusion Modeling for Anomaly Detection Adbench: Anomaly detection benchmark.Advances in Neural Information Processing Systems, 35:32142–32159, 2022

Reference 11

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Observation 202cb65f-01c9-4a48-b6d0-0849768af6a3 · outbound

This paper cites Nlp- adbench: Nlp anomaly detection benchmark.Findings of the Association for Computational Linguistics: EMNLP 2025, 2025.

Masked Diffusion Modeling for Anomaly Detection Nlp- adbench: Nlp anomaly detection benchmark.Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Reference 12

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Observation 8c95c68b-9c83-4ab6-ab5f-97af43f5aae1 · outbound

This paper cites Deep unsuper- vised learning using nonequilibrium thermodynamics.

Masked Diffusion Modeling for Anomaly Detection Deep unsuper- vised learning using nonequilibrium thermodynamics

Reference 13

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Observation 3e655977-be98-4e7d-83c5-240aa712c337 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851, 2020.

Masked Diffusion Modeling for Anomaly Detection Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851, 2020

Reference 14

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:889a712a8c95dfa5c539848e9fee9968a548f74f534e4a9fca939f0d6c32d135

Observation 8416e2df-c020-44d3-9571-5db45489351c · outbound

This paper cites Simple and effective masked diffusion language models.Advances in Neural Information Processing Systems, 37:130136–130184, 2024.

Masked Diffusion Modeling for Anomaly Detection Simple and effective masked diffusion language models.Advances in Neural Information Processing Systems, 37:130136–130184, 2024

Reference 15

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:9caf9ffb11986ad6a8399727a205a75e5b8fb2ccc2bf7530cc8a9e4448b167e0

Observation 19d641a3-5714-44a8-ac04-92c5d3ac787c · outbound

This paper cites Structured denoising diffusion models in discrete state-spaces.Advances in Neural Information Processing Systems, 34:17981–17993, 2021.

Masked Diffusion Modeling for Anomaly Detection Structured denoising diffusion models in discrete state-spaces.Advances in Neural Information Processing Systems, 34:17981–17993, 2021

Reference 16

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Observation 777629f9-33da-42f3-b5c4-f3814a6c99ed · outbound

This paper cites Masked diffusion models are secretly time-agnostic masked models and exploit inaccurate categorical sampling.

Masked Diffusion Modeling for Anomaly Detection Masked diffusion models are secretly time-agnostic masked models and exploit inaccurate categorical sampling

Reference 17

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Observation 0ae4429b-d338-403a-ba71-bfbc35322950 · outbound

This paper cites Dif- fusion beats autoregressive in data-constrained settings.

Masked Diffusion Modeling for Anomaly Detection Dif- fusion beats autoregressive in data-constrained settings

Reference 18

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Observation 1a6f45f6-6873-4652-9b1a-54c670a61799 · outbound

This paper cites Con- strained discrete diffusion.

Masked Diffusion Modeling for Anomaly Detection Con- strained discrete diffusion

Reference 19

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:d3276f463115d04c2e92878fb2eeaafc4813826da5ef8c8bd61f6f9e81d56df1

Observation f1963548-e403-427c-b430-6ed25946aeba · outbound

This paper cites Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review.

Masked Diffusion Modeling for Anomaly Detection Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review

Reference 20

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:c6e40f2e2721ddface7e3506d185c5d3ddf91d43c86321fd497d33c85525e2f1

Observation a06792fc-1955-4960-ba1c-aa2cd334f1d0 · outbound

This paper cites On diffusion model- ing for anomaly detection.

Masked Diffusion Modeling for Anomaly Detection On diffusion model- ing for anomaly detection

Reference 21

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Observation eaf5009e-7bbe-44ee-965b-9873b1837572 · outbound

This paper cites Efficient algorithms for mining outliers from large data sets.SIGMOD Record, 29(2):427–438, June 2000.

Masked Diffusion Modeling for Anomaly Detection Efficient algorithms for mining outliers from large data sets.SIGMOD Record, 29(2):427–438, June 2000

Reference 22

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Observation 36a88bc5-7b31-4589-bce2-37aa7154cc80 · outbound

This paper cites Isolation forest.

Masked Diffusion Modeling for Anomaly Detection Isolation forest

Reference 23

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Observation 29db9991-169c-4bd0-a544-c855df27752f · outbound

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Masked Diffusion Modeling for Anomaly Detection Unresolved cited work

Reference 24

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Observation ed9812a6-afd6-4d1c-954d-0a297b759e94 · outbound

This paper cites Copod: Copula-based outlier detection.

Masked Diffusion Modeling for Anomaly Detection Copod: Copula-based outlier detection

Reference 25

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Observation 64efe070-5007-463c-94dd-847d9a97c0ad · outbound

This paper cites Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings.

Masked Diffusion Modeling for Anomaly Detection Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings

Reference 26

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:dd469267db85ed1444b71c25725278f18d07009f411d01b0b10eab930108ee4a

Observation acfb6676-743c-4931-85d1-4287401a886d · outbound

This paper cites MCM: Masked cell modeling for anomaly detection in tabular data.

Masked Diffusion Modeling for Anomaly Detection MCM: Masked cell modeling for anomaly detection in tabular data

Reference 27

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Observation f26e1a84-0731-4c0f-b17f-638ee64a382b · outbound

This paper cites Beyond individual input for deep anomaly detection on tabular data.

Masked Diffusion Modeling for Anomaly Detection Beyond individual input for deep anomaly detection on tabular data

Reference 28

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Observation 9d610d44-ea44-46bb-a1fa-d32d499b020c · outbound

This paper cites Anomaly detection for tabular data with internal contrastive learning.

Masked Diffusion Modeling for Anomaly Detection Anomaly detection for tabular data with internal contrastive learning

Reference 29

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Observation 0d70bc27-1a79-43e1-b0de-68840935d67b · outbound

This paper cites Fast and reliable anomaly detection in categorical data.

Masked Diffusion Modeling for Anomaly Detection Fast and reliable anomaly detection in categorical data

Reference 30

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Observation 088bb506-b6d5-4c86-8495-c59d4a99f51a · outbound

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Masked Diffusion Modeling for Anomaly Detection Unresolved cited work

Reference 31

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Observation a163e6a5-f81a-4dec-920a-331c28051f9f · outbound

This paper cites DRL: Decom- posed representation learning for tabular anomaly detection.

Masked Diffusion Modeling for Anomaly Detection DRL: Decom- posed representation learning for tabular anomaly detection

Reference 32

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Observation bd35b21d-efe3-4522-b70f-a05cb78c6208 · outbound

This paper cites Anomaly detection using autoencoders with nonlinear dimensionality reduction.

Masked Diffusion Modeling for Anomaly Detection Anomaly detection using autoencoders with nonlinear dimensionality reduction

Reference 33

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Observation c2139137-5c43-438c-8040-992592c85a6f · outbound

This paper cites Variational autoencoder based anomaly detection using recon- struction probability.Special lecture on IE, 2(1):1–18, 2015.

Masked Diffusion Modeling for Anomaly Detection Variational autoencoder based anomaly detection using recon- struction probability.Special lecture on IE, 2(1):1–18, 2015

Reference 34

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Observation 5a75d5fc-6cf3-4bb2-ac71-ec004ca7f89d · outbound

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

Masked Diffusion Modeling for Anomaly Detection Deep autoencoding gaussian mixture model for unsupervised anomaly detection

Reference 35

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Observation 086c0867-be37-4eac-bc97-be5f3e736d77 · outbound

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

Masked Diffusion Modeling for Anomaly Detection Waldstein, Ursula Schmidt-Erfurth, and Georg Langs

Reference 36

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Observation 25a47216-6cf2-4306-8ffa-fbb4c28fd95f · outbound

This paper cites Ganomaly: Semi-supervised anomaly detection via adversarial training.

Masked Diffusion Modeling for Anomaly Detection Ganomaly: Semi-supervised anomaly detection via adversarial training

Reference 37

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Observation 8c71162d-c6b5-4a7d-ba1a-9ce708e3ef9d · outbound

This paper cites Same same but differnet: Semi- supervised defect detection with normalizing flows.

Masked Diffusion Modeling for Anomaly Detection Same same but differnet: Semi- supervised defect detection with normalizing flows

Reference 38

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Observation b6969f32-7bf5-46dc-9368-c161ab7e582e · outbound

This paper cites A Survey on Diffusion Models for Anomaly Detection.

Masked Diffusion Modeling for Anomaly Detection A Survey on Diffusion Models for Anomaly Detection

Reference 39

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arxiv_id, observed 2026-06-29T13:53:29.850105Z

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:b2d3d5290eab95adeb9bc9267b7679d6fc4727e2dc8bcfe8607ce4ca64a15739

Observation 2bd31f25-f5cb-43a8-aeaf-b867b98a9103 · outbound

This paper cites Anoddpm: Anomaly detection with denoising diffusion probabilistic models using simplex noise.

Masked Diffusion Modeling for Anomaly Detection Anoddpm: Anomaly detection with denoising diffusion probabilistic models using simplex noise

Reference 40

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:5df748550c0cea9b18866c415b1be6a68db9b1d4ea93e365d0fe5e2cc9c351b3

Observation 954d1c3f-b215-4ef4-b590-aa404010d514 · outbound

This paper cites Anomaly detection with conditioned denoising diffusion models.

Masked Diffusion Modeling for Anomaly Detection Anomaly detection with conditioned denoising diffusion models

Reference 41

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:284d9608bcabc1a7efa435b3f65fff2c0a93d92d711c3e015563f85f1203a640

Observation e6719fd3-b82b-4a30-bcfd-aa484c4fbd54 · outbound

This paper cites Diffusionad: Norm-guided one-step denoising diffusion for anomaly detection.IEEE transactions on pattern analysis and machine intelligence, 2025.

Masked Diffusion Modeling for Anomaly Detection Diffusionad: Norm-guided one-step denoising diffusion for anomaly detection.IEEE transactions on pattern analysis and machine intelligence, 2025

Reference 42

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:f2abbcaf77031e88b6b15dccedb07851312e1a836ffa4142552c3489acac9a27

Observation 9c59f25f-428c-4c7b-8c7f-c365e26acffb · outbound

This paper cites Simplified and generalized masked diffusion for discrete data.

Masked Diffusion Modeling for Anomaly Detection Simplified and generalized masked diffusion for discrete data

Reference 43

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:a7f39052f9124e71fafeb64a6806e2df1baf6bf1dc66635af0a97b051c10e410

Observation 86f7164f-9af4-4098-8f35-b4b58a3bae57 · outbound

This paper cites Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019.

Masked Diffusion Modeling for Anomaly Detection Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019

Reference 44

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:f43cebf3c3a318b71790c833961468323aa59a7b3760b3104bd73dc9470906db

Observation 148238a8-032f-4ae5-99e5-664316d0dde9 · outbound

This paper cites Deep one-class classification.

Masked Diffusion Modeling for Anomaly Detection Deep one-class classification

Reference 45

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:de26f2ae94fc00ca8982eaa35d9ed471414e7c5648920a8ee1e3db2370f57ffd

Observation 14453dac-9e76-4af8-9dbe-3a987b4b5c94 · outbound

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

Masked Diffusion Modeling for Anomaly Detection Classification-based anomaly detection for general data

Reference 46

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:25048cf7a91048bbb7576b192ae967e2e9ffc61fe9de9f371bfdc4de3ed39b84

Observation d8a6e3b1-8288-4a8f-ba3c-650a57d51f74 · outbound

This paper cites DATE: Detecting anomalies in text via self-supervision of transformers.

Masked Diffusion Modeling for Anomaly Detection DATE: Detecting anomalies in text via self-supervision of transformers

Reference 47

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:e360b87f8b1d6c91e3fd5991b097ed55be9923487a3b4293cd530e1cb48b10cb

Observation efa2b0f0-3645-4bee-bd3f-b89149cbf7b2 · outbound

This paper cites Few-shot anomaly detection in text with deviation learning.

Masked Diffusion Modeling for Anomaly Detection Few-shot anomaly detection in text with deviation learning

Reference 48

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:1ec2629b198c1c5f71f02cee0fd96acc91bf1a7d2791007bb260a10240ade6c7

Observation f6e499ae-6ed7-4684-89dc-ff00a043c75f · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding.

Masked Diffusion Modeling for Anomaly Detection BERT: Pre-training of deep bidirectional transformers for language understanding

Reference 49

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:31d8d69d945f9cdab504e2d71367613389c15c8678ded23ce197fd3f911585d7

Observation 56501c5e-dcae-4a28-9c6f-8702c7c7cb25 · outbound

This paper cites New embedding models and api updates.

Masked Diffusion Modeling for Anomaly Detection New embedding models and api updates

Reference 50

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:7a82c9f3ef3c7fa5f012c41ebfc8c593f74afef77e6bbbc0ee459a900bd3ec5d

Observation 56f6a8b4-fac9-44e6-b9ca-4f052b706892 · outbound

This paper cites Lof: identifying density-based local outliers.

Masked Diffusion Modeling for Anomaly Detection Lof: identifying density-based local outliers

Reference 51

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:2a7b5d06c1ea418d151e2a6625a4fc94312741c1daf737a090d5d0d29951e207

Observation 9588f00a-e116-4596-8048-8f520de6a24c · outbound

This paper cites Generative adversarial active learning for unsupervised outlier detection.IEEE Transactions on Knowledge and Data Engineering, 32(8):1517–1528, 2019.

Masked Diffusion Modeling for Anomaly Detection Generative adversarial active learning for unsupervised outlier detection.IEEE Transactions on Knowledge and Data Engineering, 32(8):1517–1528, 2019

Reference 52

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:9f15ffa58aab18be2ad864fe1e905a38820b12bdd93d6f2e6a8c8fb208c74985

Observation 5fded65d-5bfc-4e1a-8d40-6d9cefa289c9 · outbound

This paper cites Aggarwal.Outlier Analysis.

Masked Diffusion Modeling for Anomaly Detection Aggarwal.Outlier Analysis

Reference 53

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:f7384c9a740ce4c68bfd287f4a6c32afddffab5fbb001f658a65837b3f1e8745

Observation e1ecf357-5ce4-4402-8d92-8617de189c95 · outbound

This paper cites Auto-Encoding Variational Bayes.

Masked Diffusion Modeling for Anomaly Detection Auto-Encoding Variational Bayes

Reference 54

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local_arxiv, observed 2026-06-29T13:53:29.852412Z

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:0646eee364b5b07841be19c360c6a95188faff9cfbf479aa4786927fdcdb7dc1

Observation 66758c62-5410-4d21-8441-91fd8ff17ad8 · outbound

This paper cites Lunar: Unifying local outlier detection methods via graph neural networks.Proceedings of the AAAI Conference on Artificial Intelligence, 36(6):6737–6745, Jun.

Masked Diffusion Modeling for Anomaly Detection Lunar: Unifying local outlier detection methods via graph neural networks.Proceedings of the AAAI Conference on Artificial Intelligence, 36(6):6737–6745, Jun

Reference 55

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source=pdf_text observed=2026-06-29T09:14:17.683170Z digest=sha256:a9fafdaac80bed15a0c7f3be4794c4a23a555f22e904e8a74aed250d2c04887c

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