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Paper Citation Record · LEDGER

Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2312.07495.

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

pith.paper-citation-record.v1
2312.07495 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:29:33.043280Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:29:57.666142Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f6007028-2c1b-4378-b5ac-c0999a4b29a2 · inbound

ROADS: Robust Prompt-driven Multi-Class Anomaly Detection under Domain Shift cites this paper.

ROADS: Robust Prompt-driven Multi-Class Anomaly Detection under Domain Shift Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T13:39:38.667208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:39:38.667208Z digest=sha256:fbf2a53748979d3c174670456de9653cbe7640e02c14aba963d4a530783e24a2

Observation 254f1a85-f840-43f9-ab70-45b9d33c08d8 · inbound

CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection cites this paper.

CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

Reference 46

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unresolved
no resolver link, observed 2026-08-10T22:57:42.848896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:57:42.848896Z digest=sha256:df19559b00f9c5772426e4d46ffe3f91da2e00ca2ab060dbf83ae73bbf8327ec

Observation bb3dec8f-110f-4e74-b5dd-a439ae829a0f · inbound

Towards Accurate Unified Anomaly Segmentation cites this paper.

Towards Accurate Unified Anomaly Segmentation Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T17:24:38.809225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:24:38.809225Z digest=sha256:3ff15c87d521f8bac67d1038d2343cf5de0afdf62f798d76c81c1a7c1d8c2c03

Observation b43bf296-8eed-48da-a1aa-e33b8f8c6bda · inbound

HSS-IAD: A Heterogeneous Same-Sort Industrial Anomaly Detection Dataset cites this paper.

HSS-IAD: A Heterogeneous Same-Sort Industrial Anomaly Detection Dataset Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

Reference 3

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unresolved
no resolver link, observed 2026-08-16T12:29:33.043280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:29:33.043280Z digest=sha256:5db60b97d07241aaa9f8114642161f09b0fad606c549ae8633b4673bfed64bcf

Observation b603acf4-372f-47b6-b1d2-2f4549077463 · inbound

INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning cites this paper.

INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T11:03:11.133006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:03:11.133006Z digest=sha256:10422c0a2a6b2d8fae5c1d9e4153d0b7ff1ff75539c73df82307a82c3639fc65

Observation 655acc46-4bff-427d-8d08-9904aa7be194 · inbound

Bridge Feature Matching and Cross-Modal Alignment with Mutual-filtering for Zero-shot Anomaly Detection cites this paper.

Bridge Feature Matching and Cross-Modal Alignment with Mutual-filtering for Zero-shot Anomaly Detection Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T17:27:17.568476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:27:17.568476Z digest=sha256:f38955142bcdc6d3ee403bbb131009acd3ef141507d17ae576c1f2ca85032f76

Observation dca69b14-7792-44bc-a141-4effbd691fb5 · inbound

GroundingAnomaly: Spatially-Grounded Diffusion for Few-Shot Anomaly Synthesis cites this paper.

GroundingAnomaly: Spatially-Grounded Diffusion for Few-Shot Anomaly Synthesis Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:30:55.453990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T18:27:36.529298Z digest=sha256:a77dc96784456f2a2c6ca4032aab74a2b5a275c68451c1f0884092a2d52a2f78

Observation aba7357b-ee14-4e52-b7f7-c976bb814b37 · inbound

IPAD-CLIP: Teaching CLIP to Detect Image Local Perceptual Artifacts cites this paper.

IPAD-CLIP: Teaching CLIP to Detect Image Local Perceptual Artifacts Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:56:28.079347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T01:29:17.126354Z digest=sha256:2fb32235fa9f4ba053a5c7e3c9c1602f4d12cb6ffa6e466ead75fbbf6e93012c

Observation 84fc82d1-7270-4780-bfb0-58548442928c · inbound

Dual Prototype-Conditioned Diffusion Model for Scalable Multi-Class Unsupervised Anomaly Detection in Large Category Spaces cites this paper.

Dual Prototype-Conditioned Diffusion Model for Scalable Multi-Class Unsupervised Anomaly Detection in Large Category Spaces Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T13:54:44.015384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T13:48:39.954133Z digest=sha256:07962de94962d23fbe60212715e66700d60e91f1ccb5f90e8019d18784e8a5c7

Observation 7253b312-e647-444b-bced-12982a8db51a · inbound

MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection cites this paper.

MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:49:44.633986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T09:26:51.456652Z digest=sha256:38fe81f87661062426207ea739fc9b3d75c4bbebb825a5d6fb3feeb55d0c381a

Observation 328edd2e-e0d8-4434-8151-db12dc8ac2ef · inbound

MATCH: Flow Matching for Multi-View Anomaly Detection cites this paper.

MATCH: Flow Matching for Multi-View Anomaly Detection Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

Reference 73

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:29:57.667655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T00:32:33.173587Z digest=sha256:9c0ad76d611515812c122a968952b4e546649050aa5c5716ad17b0fe97190a5a

Observation 20865458-dd3d-436f-b46c-35d8f8c9cd69 · inbound

ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection cites this paper.

ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T15:58:37.599170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-03T15:49:13.410168Z digest=sha256:a9b9be011acb1dfc757045ea9de9a01fbceb78d27b2bbd9e2c2d5e2ce8114f4e

Observation 0f9e1a30-ec33-435a-b082-a1253dbd31ed · inbound

ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection cites this paper.

ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-04T04:36:17.266927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:36:17.266927Z digest=sha256:d1f9cc97d7994c3c9baa8853048be599a5111237006463433397de0425534085

Observation 9115776b-f645-4086-b726-b44f73a09827 · inbound

IMMoE: Incomplete Multi-View Anomaly Detection via Mixture of View Experts Fusion cites this paper.

IMMoE: Incomplete Multi-View Anomaly Detection via Mixture of View Experts Fusion Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-01T13:42:17.774748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:42:17.774748Z digest=sha256:5309be514d637c8c401aef008912a62805d3f761ad1a38e218fae55739b52fb5

Observation 14a3e953-79f4-4bdc-90f3-ec0c110b6589 · inbound

ReFP-AD: Rectified Flow Preconditioning for Energy-Based Anomaly Detection cites this paper.

ReFP-AD: Rectified Flow Preconditioning for Energy-Based Anomaly Detection Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-04T20:50:20.805168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:50:20.805168Z digest=sha256:772f39d3dbb83f148c18e8a38f8b0f6bb765600c50ee7716a39ed7ac8d6ed141