Paper Citation Record · LEDGER

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection

As of 19 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2606.25740.

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

pith.paper-citation-record.v1
2606.25740 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-25T21:10:20.041634Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

41 of 41 outbound references displayed

verified exact5
verified fuzzy0
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 37eb8008-602c-4e47-9472-0550bebaeae0 · outbound

This paper cites Mgld-tlnet: Multigeometric and long-distance represen- tation network for transmission line inspection,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Mgld-tlnet: Multigeometric and long-distance represen- tation network for transmission line inspection,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Unavailable: canonical work link unavailable.

Observation edce3d51-bb67-4761-b7f7-10cf8c1aa82b · outbound

This paper cites Real3d-ad: A dataset of point cloud anomaly detection,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Real3d-ad: A dataset of point cloud anomaly detection,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Observation 155c2f45-795c-412a-b6e0-a494f685adc5 · outbound

This paper cites Industrial foundation model,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Industrial foundation model,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Observation b5481dab-e58b-4106-a5d6-48bd8208efd7 · outbound

This paper cites Cloud-based li-ion battery anomaly detection, localization and classification,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Cloud-based li-ion battery anomaly detection, localization and classification,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02fff8a5-9b93-415a-a446-c3945c46d35e · outbound

This paper cites Anomaly detection and fault classification of printed circuit boards based on multimodal features of the infrared thermal imaging,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Anomaly detection and fault classification of printed circuit boards based on multimodal features of the infrared thermal imaging,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Unavailable: canonical work link unavailable.

Observation ed6c3666-3a0b-42ee-8147-aca775b3f967 · outbound

This paper cites Vtfusion: A vision–text multimodal fusion network for few-shot anomaly detection,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Vtfusion: A vision–text multimodal fusion network for few-shot anomaly detection,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81f15048-ad87-4f5f-b515-415ef29da8a2 · outbound

This paper cites Im-iad: Industrial image anomaly detection benchmark in manufacturing,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Im-iad: Industrial image anomaly detection benchmark in manufacturing,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd4e88b2-a90b-4548-8bde-02f89ce661c5 · outbound

This paper cites Look inside for more: Internal spatial modality perception for 3d anomaly detection,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Look inside for more: Internal spatial modality perception for 3d anomaly detection,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc2f3ad5-3dbf-4848-ad26-ddc8236a32de · outbound

This paper cites Quality control in extrusion-based additive manufacturing: A review of machine learning approaches,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Quality control in extrusion-based additive manufacturing: A review of machine learning approaches,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1710e874-2a7f-4886-8c9f-96098ae00286 · outbound

This paper cites Towards scalable 3d anomaly detection and localization: A benchmark via 3d anomaly synthesis and a self-supervised learning network,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Towards scalable 3d anomaly detection and localization: A benchmark via 3d anomaly synthesis and a self-supervised learning network,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 858ab460-b071-4c50-9194-c203cfb4597b · outbound

This paper cites Asymmetric student-teacher networks for industrial anomaly detection,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Asymmetric student-teacher networks for industrial anomaly detection,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Observation ef19580a-7756-4f89-be4d-590f4411d218 · outbound

This paper cites R3d-ad: Reconstruction via diffusion for 3d anomaly detection,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection R3d-ad: Reconstruction via diffusion for 3d anomaly detection,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Observation b1f6b548-545f-46ff-9e37-7f6d8a9185bb · outbound

This paper cites Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:40:06.618572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f1768bf1-7ae7-49ea-a6a7-7c565b3984d6 · outbound

This paper cites Dual-interrelated diffusion model for few-shot anomaly image generation,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Dual-interrelated diffusion model for few-shot anomaly image generation,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a9762d6-22a8-42c2-82aa-6660032af7a2 · outbound

This paper cites Po3ad: Predicting point offsets toward better 3d point cloud anomaly detection,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Po3ad: Predicting point offsets toward better 3d point cloud anomaly detection,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c1fb2b2-569b-462c-8983-a37c5e93424a · outbound

This paper cites Scalable 3d captioning with pretrained models,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Scalable 3d captioning with pretrained models,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

Source-reported events for the cited work

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Observation 67ffe2c7-2a7d-4788-b599-bc82410e7d83 · outbound

This paper cites Recurrent diffusion for 3d point cloud generation from a single image,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Recurrent diffusion for 3d point cloud generation from a single image,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Observation 5c8ca6be-66af-4e03-b67b-fe5ed05df22b · outbound

This paper cites Wssic-net: Weakly-supervised semantic instance completion of 3d point cloud scenes,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Wssic-net: Weakly-supervised semantic instance completion of 3d point cloud scenes,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Observation 4b84ecdf-e29f-44a7-8259-57dc58f5aa40 · outbound

This paper cites Hifi3d: Improving text-to-3d with high-fidelity multi-view diffusion,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Hifi3d: Improving text-to-3d with high-fidelity multi-view diffusion,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Observation 1b54d209-637d-4e2a-94a6-df18a2fc0f12 · outbound

This paper cites Difftf++: 3d-aware diffu- sion transformer for large-vocabulary 3d generation,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Difftf++: 3d-aware diffu- sion transformer for large-vocabulary 3d generation,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Observation b53e486f-42c5-44a9-8825-05e0a3060e49 · outbound

This paper cites Disr-nerf: Diffusion-guided view- consistent super-resolution nerf,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Disr-nerf: Diffusion-guided view- consistent super-resolution nerf,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Observation ddbd2e64-4848-4871-bf44-bf2b812b8543 · outbound

This paper cites DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-04T19:40:06.621440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9eb2dd7c-a0cb-4798-a1a1-e15ff3858bb7 · outbound

This paper cites Diffusion-based facial aesthetics enhancement with 3d structure guidance,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Diffusion-based facial aesthetics enhancement with 3d structure guidance,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Observation 3a1d06be-f82e-4d9a-b926-432d193505f3 · outbound

This paper cites Clay: A controllable large-scale generative model for creating high-quality 3d assets,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Clay: A controllable large-scale generative model for creating high-quality 3d assets,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

Source-reported events for the cited work

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Observation 339893db-f278-4755-99d2-ae947da834f5 · outbound

This paper cites Structured 3d latents for scalable and versatile 3d generation,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Structured 3d latents for scalable and versatile 3d generation,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Observation 24d128c9-9d34-40a1-a9da-2cc19cd3ad30 · outbound

This paper cites Realfusion: 360deg reconstruction of any object from a single image,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Realfusion: 360deg reconstruction of any object from a single image,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Observation 656f333f-1a2b-46de-a849-774eb7ae6890 · outbound

This paper cites Latent-nerf for shape-guided generation of 3d shapes and textures,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Latent-nerf for shape-guided generation of 3d shapes and textures,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

Source-reported events for the cited work

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Observation 424579e2-e70e-4184-bb43-1b4b74454e07 · outbound

This paper cites One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35b2f909-4ef6-4fee-b59f-0a019d732746 · outbound

This paper cites Multimodal industrial anomaly detection via hybrid fusion,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Multimodal industrial anomaly detection via hybrid fusion,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfbcbd40-052d-4e9a-9949-1c02a61321d3 · outbound

This paper cites Duinnet: Dual-modality feature interaction for point cloud completion,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Duinnet: Dual-modality feature interaction for point cloud completion,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b9154f5-51be-4d54-aa4b-a0c21ed0da72 · outbound

This paper cites Shape-guided dual-memory learning for 3d anomaly detection,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Shape-guided dual-memory learning for 3d anomaly detection,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e66b5398-135c-4712-8923-ea1971f2e431 · outbound

This paper cites Back to the feature: classical 3d features are (almost) all you need for 3d anomaly detection,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Back to the feature: classical 3d features are (almost) all you need for 3d anomaly detection,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a5a2944-1ab4-44c2-a16a-d1b1c9088979 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection 3d gaussian splatting for real-time radiance field rendering

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Observation 442b0709-f3d5-4010-b27c-6ffe47fcf708 · outbound

This paper cites Cutpaste: Self-supervised learning for anomaly detection and localization,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Cutpaste: Self-supervised learning for anomaly detection and localization,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd1eeedf-9091-4c59-9811-5d363c304abf · outbound

This paper cites Bridging 3d anomaly localization and repair via high-quality con- tinuous geometric representation,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Bridging 3d anomaly localization and repair via high-quality con- tinuous geometric representation,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Observation c45ff53e-bc5f-475e-8bd2-cdcef276f959 · outbound

This paper cites Mc3d-ad: A unified geometry-aware reconstruction model for multi-category 3d anomaly detection.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Mc3d-ad: A unified geometry-aware reconstruction model for multi-category 3d anomaly detection

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:40:06.609511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b51099d7-4883-4c60-9483-e9ea0ff935c9 · outbound

This paper cites Towards total recall in industrial anomaly detection,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Towards total recall in industrial anomaly detection,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Unavailable: canonical work link unavailable.

Observation 5388058a-33bd-4a2c-a6e0-8a26ed94e002 · outbound

This paper cites Registration based few-shot anomaly detection,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Registration based few-shot anomaly detection,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Unavailable: canonical work link unavailable.

Observation 0983f86a-8532-43ba-8878-abf6766ee651 · outbound

This paper cites MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:40:06.615299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b89b2f01-aa36-4f8e-a037-0566c293e5cf · outbound

This paper cites Registration is a powerful rotation-invariance learner for 3d anomaly detection,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Registration is a powerful rotation-invariance learner for 3d anomaly detection,

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:40:06.612198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b99283a-f1f6-4a44-8649-22054f9191e5 · outbound

This paper cites Efficient simplification of point- sampled surfaces,.

Point Cloud Diffusion with Global and Local Reconstruction for Instance-Level 3D Anomaly Detection Efficient simplification of point- sampled surfaces,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-25T21:10:20.041634Z

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Unavailable: canonical work link unavailable.

Pith citing papers

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