Paper Citation Record · LEDGER

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization

As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2605.28428.

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

pith.paper-citation-record.v1
2605.28428 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T13:07:09.539291Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

38 of 38 outbound references displayed

verified exact3
verified fuzzy0
unresolved34
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1aea8058-6720-4dd9-8c50-b16f9d9598c6 · outbound

This paper cites Graph based anomaly detection and description: a survey.Data mining and knowledge discovery, 2015.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Graph based anomaly detection and description: a survey.Data mining and knowledge discovery, 2015

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d477c3e7-0df1-44f5-aa4d-d93c4e835987 · outbound

This paper cites Pni: industrial anomaly detection using position and neighborhood infor- mation.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Pni: industrial anomaly detection using position and neighborhood infor- mation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a9cc63c-ff40-4b76-834f-f3c2073ea038 · outbound

This paper cites Man- ifold regularization: A geometric framework for learning from labeled and unlabeled examples.Journal of machine learning research, 2006.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Man- ifold regularization: A geometric framework for learning from labeled and unlabeled examples.Journal of machine learning research, 2006

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d64a8ec-bc83-4502-847e-909983e196e6 · outbound

This paper cites Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a4e88c2-8689-466c-a0a4-d454444686c9 · outbound

This paper cites Sub-Image Anomaly Detection with Deep Pyramid Correspondences.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:13:27.454389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e4f54506-f9f9-494b-b9c1-0d71b2e27a53 · outbound

This paper cites Vision transformers need registers.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Vision transformers need registers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56c9fa7c-f19d-450d-9232-78d6575a16fa · outbound

This paper cites Padim: a patch distribution modeling framework for anomaly detection and localization.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Padim: a patch distribution modeling framework for anomaly detection and localization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20c52ad8-84d0-4d60-8c45-53ba46298d84 · outbound

This paper cites Deep anomaly detection on attributed networks.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Deep anomaly detection on attributed networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db03bea2-7963-409d-a0b1-627aebf9824f · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-06-29T13:13:27.457033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 652731c1-bfd2-4b49-aa30-b663882fadf5 · outbound

This paper cites Graph random neural networks for semi-supervised learning on graphs.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Graph random neural networks for semi-supervised learning on graphs

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d648e7a-ed8f-46c3-bf4c-f4c12ff33592 · outbound

This paper cites Registration based few-shot anomaly detection.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Registration based few-shot anomaly detection

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4056df33-a01d-4a2a-8754-9b6a6acf8d94 · outbound

This paper cites Winclip: Zero- /few-shot anomaly classification and segmentation.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Winclip: Zero- /few-shot anomaly classification and segmentation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 945c77f0-a17e-48a2-a476-7a3efa5c953a · outbound

This paper cites Identifying medical diagnoses and treatable diseases by image-based deep learning.cell, 2018.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Identifying medical diagnoses and treatable diseases by image-based deep learning.cell, 2018

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c243d60-04b7-4011-9eb3-3ef8e2043996 · outbound

This paper cites Graph anomaly detection with graph neural networks: Current status and challenges.IEEe Access, 2022.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Graph anomaly detection with graph neural networks: Current status and challenges.IEEe Access, 2022

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efc18cee-5566-40ba-ac50-d63f8de36b8b · outbound

This paper cites Semi-supervised classification with graph convo- lutional networks.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Semi-supervised classification with graph convo- lutional networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 774cdbab-2e94-4702-ac69-719080cb4de8 · outbound

This paper cites Continuous memory representation for anomaly detection.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Continuous memory representation for anomaly detection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 436bfc71-a0f0-499c-9b38-0dae723c2233 · outbound

This paper cites Deeper insights into graph convolutional networks for semi-supervised learn- ing.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Deeper insights into graph convolutional networks for semi-supervised learn- ing

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a28af20-73c7-4910-a025-f6fcfcee8409 · outbound

This paper cites Promptad: Learn- ing prompts with only normal samples for few-shot anomaly detection.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Promptad: Learn- ing prompts with only normal samples for few-shot anomaly detection

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9aba8abf-5611-40d1-a921-fbed4f2fda9b · outbound

This paper cites Exploring intrinsic normal prototypes within a single image for universal anomaly detection.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Exploring intrinsic normal prototypes within a single image for universal anomaly detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02384ddf-b6a0-44a5-8dc5-3fb60431a883 · outbound

This paper cites Deep generative model us- ing unregularized score for anomaly detection with hetero- geneous complexity.IEEETCYB.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Deep generative model us- ing unregularized score for anomaly detection with hetero- geneous complexity.IEEETCYB

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22fa7718-ef24-4440-bbaa-a4ab584a11b1 · outbound

This paper cites k-nnn: nearest neighbors of neighbors for anomaly detection.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization k-nnn: nearest neighbors of neighbors for anomaly detection

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5bbf4e5-f9be-4c24-92ac-7b2f73d29a04 · outbound

This paper cites Anomalous: A joint modeling approach for anomaly detection on attributed networks.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Anomalous: A joint modeling approach for anomaly detection on attributed networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89d3399b-25d6-44d6-9ab8-37288bdeeed3 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Learn- ing transferable visual models from natural language super- vision

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55c57d17-4347-4139-b5fd-4a72e500d1df · outbound

This paper cites Towards total recall in industrial anomaly detection.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Towards total recall in industrial anomaly detection

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1405c41b-5a2b-456a-b6a1-6409a78ee581 · outbound

This paper cites DINOv3.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization DINOv3

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T13:13:27.462524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ec4e29fa-1b0a-4f70-851d-17880523c616 · outbound

This paper cites Rethink- ing graph neural networks for anomaly detection.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Rethink- ing graph neural networks for anomaly detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80491375-e3ad-4b84-a460-f8ef1903458e · outbound

This paper cites Kernel-aware graph prompt learning for few-shot anomaly detection.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Kernel-aware graph prompt learning for few-shot anomaly detection

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdd15927-197f-4731-9ddf-6696bc11d619 · outbound

This paper cites Graph laplacian for image anomaly detection.Machine Vision and Applications,.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Graph laplacian for image anomaly detection.Machine Vision and Applications,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c8d2b94-08af-4b98-87ed-e77ba6d051f3 · outbound

This paper cites Real-iad: A real-world multi-view dataset for benchmarking versatile industrial anomaly detec- tion.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Real-iad: A real-world multi-view dataset for benchmarking versatile industrial anomaly detec- tion

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e544423a-2188-469c-9ccb-7edb70b3fbec · outbound

This paper cites Pushing the limits of fewshot anomaly detec- tion in industry vision: Graphcore.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Pushing the limits of fewshot anomaly detec- tion in industry vision: Graphcore

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ac88359-95af-4118-b9e1-067c9d40a7d5 · outbound

This paper cites Ad-dinov3: Enhancing dinov3 for zero-shot anomaly detection with anomaly-aware calibration.arXiv preprint arXiv:2509.14084, 2025.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Ad-dinov3: Enhancing dinov3 for zero-shot anomaly detection with anomaly-aware calibration.arXiv preprint arXiv:2509.14084, 2025

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:13:27.459893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cd23cb7e-18ce-4db0-b082-46f4bb717033 · outbound

This paper cites Wide residual net- works.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Wide residual net- works

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11f9f4a6-60a1-48eb-a69f-66d7d0a89a5f · outbound

This paper cites Error-bounded graph anomaly loss for gnns.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Error-bounded graph anomaly loss for gnns

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebb7bc7b-ae2e-4058-8ead-57663d8fcc94 · outbound

This paper cites Graph neural networks: A review of methods and applications.AI open, 2020.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Graph neural networks: A review of methods and applications.AI open, 2020

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6408d0e-4fc0-4609-b3f0-039e418f9521 · outbound

This paper cites Toward generalist anomaly detection via in-context residual learning with few-shot sam- ple prompts.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Toward generalist anomaly detection via in-context residual learning with few-shot sam- ple prompts

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3e7fdf1-ee30-42d9-92d0-a0a13549a10e · outbound

This paper cites Beyond homophily in graph neural networks: Current limitations and effective designs.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Beyond homophily in graph neural networks: Current limitations and effective designs

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc6ed3ca-251f-43f7-816a-4aac0934b4a1 · outbound

This paper cites Spot-the-difference self-supervised pre- training for anomaly detection and segmentation.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization Spot-the-difference self-supervised pre- training for anomaly detection and segmentation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 161e551c-d75f-4840-b473-63bc363e79dc · outbound

This paper cites 11 S2.Ablation on the query feature stabilization coeffi- cientΛ q.

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization 11 S2.Ablation on the query feature stabilization coeffi- cientΛ q

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-29T13:07:09.539291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.