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Paper Citation Record · LEDGER

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise

As of 19 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2504.12856.

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

pith.paper-citation-record.v1
2504.12856 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:25:55.227923Z

measured 31 of 31 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:58:18.821927Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T22:58:19.588014Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9d9c3fc-f214-4c30-b8b5-7c8f2da42d9b · outbound

This paper cites Deep industrial image anomaly detection: A survey,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Deep industrial image anomaly detection: A survey,

Reference 1

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raw_fallback, observed 2026-08-16T12:25:55.730399Z

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.

source=pdf_text observed=2026-08-16T12:25:55.099179Z digest=sha256:96e1a9062213f72d91b1aff0557ccd0c485ef0d0b6b5adb93bfce26112f41ddb

Observation 4c9e6576-8794-4c01-9192-d9d782abdf9d · outbound

This paper cites A survey on industrial anomalies synthesis,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise A survey on industrial anomalies synthesis,

Reference 2

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no resolver link, observed 2026-08-16T12:25:55.104300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:25:55.104300Z digest=sha256:7ff002ee3b4abe8cd68d8b556be9fce215200602529a5c68d1165964bad72f8e

Observation b7e13e6f-7182-4708-b8cd-063e3ed0633d · outbound

This paper cites Anomalycontrol: Few-shot anomaly generation by controlnet inpainting,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Anomalycontrol: Few-shot anomaly generation by controlnet inpainting,

Reference 3

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raw_fallback, observed 2026-08-16T12:25:55.716866Z

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.

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Observation bcfce0c7-b1db-4ca6-a024-718bb098bb4d · outbound

This paper cites Anomalyxfusion: Multi-modal anomaly synthesis with diffusion,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Anomalyxfusion: Multi-modal anomaly synthesis with diffusion,

Reference 4

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raw_fallback, observed 2026-08-16T12:25:55.703217Z

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.

source=pdf_text observed=2026-08-16T12:25:55.115286Z digest=sha256:7ad8e195f5362c2ddbecc042a8e6a151d4b68884345787475ea12c0679051c4f

Observation 756f8cfa-7d29-451f-a914-6e10206d0b22 · outbound

This paper cites Anomalydiffusion: Few-shot anomaly image generation with diffusion model,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Anomalydiffusion: Few-shot anomaly image generation with diffusion model,

Reference 5

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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.

source=pdf_text observed=2026-08-16T12:25:55.125255Z digest=sha256:03d00aaeeb957e56b8d8e7284410eede2ee183c21720a0a50cbc867cb71d5985

Observation b8d484c5-e779-4725-aa4f-bc87312abd4a · outbound

This paper cites Cagen: Controllable anomaly generator using diffusion model,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Cagen: Controllable anomaly generator using diffusion model,

Reference 6

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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.

source=pdf_text observed=2026-08-16T12:25:55.129760Z digest=sha256:a0ab0208da748c7e401025feef22dd27cf2a49b01f8dd4e6713655a78d0ab287

Observation 7dae0160-f9e5-4c6b-aa23-521093064c54 · outbound

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

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Dualanodiff: Dual-interrelated diffusion model for few-shot anomaly image generation,

Reference 7

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raw_fallback, observed 2026-08-16T12:25:55.663393Z

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.

source=pdf_text observed=2026-08-16T12:25:55.134077Z digest=sha256:2a1aaf8bacf7f6c003d5f5212fa92cf878c5228c9a9b6d78a21a9d19d7ce188c

Observation cd5ec65c-75bc-4ed6-9359-cd544358a710 · outbound

This paper cites Unseen Visual Anomaly Generation.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Unseen Visual Anomaly Generation

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:25:55.138700Z digest=sha256:87a4351a92235027334c0c43ae96bdeacc6a8428ed9de1df5e6ca28d310e0f35

Observation 8eff8b91-7b22-4ee1-a74b-6eddab47c703 · outbound

This paper cites Anomalyclip: Object- agnostic prompt learning for zero-shot anomaly detection,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Anomalyclip: Object- agnostic prompt learning for zero-shot anomaly detection,

Reference 9

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raw_fallback, observed 2026-08-16T12:25:55.649291Z

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.

source=pdf_text observed=2026-08-16T12:25:55.143130Z digest=sha256:bc5a6337b94549f3bc80eb90b275301cbe9d9106c3ac31d04fc6c0d0136c675f

Observation ba093901-2eae-4c5b-8cdd-807678bb53be · outbound

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

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Winclip: Zero-/few-shot anomaly classification and segmentation,

Reference 10

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raw_fallback, observed 2026-08-16T12:25:55.635144Z

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.

source=pdf_text observed=2026-08-16T12:25:55.147515Z digest=sha256:e6b11429c5810ce65415e80d5264aaf33f02a85834da643520f7c5e4261cf2ab

Observation 5fd857bb-24c0-4600-97c6-55449bc8ec15 · outbound

This paper cites Clip3d-ad: Extending clip for 3d few-shot anomaly detection with multi-view images generation,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Clip3d-ad: Extending clip for 3d few-shot anomaly detection with multi-view images generation,

Reference 11

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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.

source=pdf_text observed=2026-08-16T12:25:55.151853Z digest=sha256:745e89d95b8991e1a4a2757b9a5cc68867ef1cff50991fba1c898edde3e54c79

Observation df1c0df9-a712-4ca8-8afb-d0e521553c8e · outbound

This paper cites Pointad: Comprehending 3d anomalies from points and pixels for zero-shot 3d anomaly detec- tion,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Pointad: Comprehending 3d anomalies from points and pixels for zero-shot 3d anomaly detec- tion,

Reference 12

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raw_fallback, observed 2026-08-16T12:25:55.607615Z

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.

source=pdf_text observed=2026-08-16T12:25:55.161067Z digest=sha256:7b5c7b7d3c1eb3d4ac4134eb59e923261e6e226b2fe57f6e48b854896f4b148e

Observation 6c4ceb7c-ccde-4423-b0bb-d37588bb140b · outbound

This paper cites CLIP3D-AD: Extending CLIP for 3D Few-Shot Anomaly Detection with Multi-View Images Generation.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise CLIP3D-AD: Extending CLIP for 3D Few-Shot Anomaly Detection with Multi-View Images Generation

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:25:55.156300Z digest=sha256:eac67485305013381f59ca1e57e205ac31e4f8e4e7d305c90bd47733a98a3da2

Observation d0d8fb91-0e1b-48b3-8987-e376527ed0a8 · outbound

This paper cites CutPaste: Self-Supervised Learning for Anomaly Detection and Localization.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise CutPaste: Self-Supervised Learning for Anomaly Detection and Localization

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:25:55.169336Z digest=sha256:d6b5df7494254360cb108260d838d23666516df88d54fff692f4766a628084c2

Observation eabc4660-2d3e-4c6c-842d-5e6611020403 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Learning transferable visual models from natural language supervi- sion,

Reference 15

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raw_fallback, observed 2026-08-16T12:25:55.593045Z

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.

source=pdf_text observed=2026-08-16T12:25:55.165062Z digest=sha256:1e1dd47e2ae5a70544d089dbd3c2873e44b45e6c5be51e960426d091bac1b2fe

Observation 10cd57a3-8d94-4d6e-8f41-b109c30fd64e · outbound

This paper cites 3d vision-based anomaly detection in manufacturing: A survey,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise 3d vision-based anomaly detection in manufacturing: A survey,

Reference 16

Resolution
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raw_fallback, observed 2026-08-16T12:25:55.579804Z

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.

source=pdf_text observed=2026-08-16T12:25:55.178164Z digest=sha256:ee085b183a181cbb47da20dc5261767dfdebf856f4f42c8c7a43e946e3be5039

Observation 8ead7906-faca-4b0d-bcac-573101f7debd · outbound

This paper cites G$^{2}$SF-MIAD: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise G$^{2}$SF-MIAD: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:25:55.173719Z digest=sha256:85b45515cdb5632b880d67e5243b2d4d2394cac34b2a1a2c4ab90c8edbf8c03c

Observation 357acd7f-8511-4b04-a246-a49c529b94e6 · outbound

This paper cites DAS3D: Dual-modality Anomaly Synthesis for 3D Anomaly Detection.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise DAS3D: Dual-modality Anomaly Synthesis for 3D Anomaly Detection

Reference 18

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no resolver link, observed 2026-08-16T12:25:55.186294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:25:55.186294Z digest=sha256:e17a77166c3e5b7f7cafcad0f163779299e08fb669bfe84c00d1ca5b3c657a15

Observation cb16a540-1118-412d-9b12-93f81cff7f30 · outbound

This paper cites Keep dræming: Discriminative 3d anomaly detection through anomaly simulation,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Keep dræming: Discriminative 3d anomaly detection through anomaly simulation,

Reference 19

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raw_fallback, observed 2026-08-16T12:25:55.565653Z

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.

source=pdf_text observed=2026-08-16T12:25:55.182112Z digest=sha256:014fa82354849fe1bc37988a27201d135cff88854f435f4a05790c8ad5900a1b

Observation ca2142bf-7aac-4199-849d-78cb4fd58055 · outbound

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

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise R3d-ad: Reconstruction via diffusion for 3d anomaly detection,

Reference 20

Resolution
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raw_fallback, observed 2026-08-16T12:25:55.552486Z

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.

source=pdf_text observed=2026-08-16T12:25:55.195242Z digest=sha256:0a835c017a1d4baf5fb80fe11d5e03cf41c365505b8f6553e0316dd787ca2517

Observation 3ebca26e-79ab-49e5-9630-c103de4c1083 · outbound

This paper cites PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection

Reference 21

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no resolver link, observed 2026-08-16T12:25:55.190585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:25:55.190585Z digest=sha256:d5bcdd6b4a50b2ac4020c4502abf249a868bf81594c9e8a8a45258a93de6f8fd

Observation 5e507b9e-4590-4213-9eb4-30acd207a678 · outbound

This paper cites Reconstruction by inpainting for visual anomaly detection,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Reconstruction by inpainting for visual anomaly detection,

Reference 22

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raw_fallback, observed 2026-08-16T12:25:55.524392Z

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.

source=pdf_text observed=2026-08-16T12:25:55.203564Z digest=sha256:fa7d09e1010bb2a4767248a4dfcfd6dfc2fdfca3bc055800d14f659f65dd5f66

Observation 8a3a8222-5130-49f6-97f8-1bce3711408c · outbound

This paper cites Natural synthetic anomalies for self-supervised anomaly detection and localization,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Natural synthetic anomalies for self-supervised anomaly detection and localization,

Reference 23

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raw_fallback, observed 2026-08-16T12:25:55.538321Z

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.

source=pdf_text observed=2026-08-16T12:25:55.199485Z digest=sha256:e2ca0344ee4ac19be2e3aae796b2ba1272220a1ed536e47c51e28f911a6f1ca4

Observation 704de483-48c0-4d5a-aef0-99033720a214 · outbound

This paper cites Simplenet: A simple network for image anomaly detection and localization,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Simplenet: A simple network for image anomaly detection and localization,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:25:55.495075Z

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.

source=pdf_text observed=2026-08-16T12:25:55.211661Z digest=sha256:9edec21f3bd5269dbcc39a0f197047c2bef4cb1a71beff80b4c4e536751fbd3e

Observation a37613d3-36c8-4c39-8b1e-757638a3b4b0 · outbound

This paper cites Progressive bound- ary guided anomaly synthesis for industrial anomaly detection,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Progressive bound- ary guided anomaly synthesis for industrial anomaly detection,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:25:55.510582Z

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.

source=pdf_text observed=2026-08-16T12:25:55.207516Z digest=sha256:f0c764fcfec2836ceae8a386509bae4007af47bdf0a9ae7e2b6b2dafe453978f

Observation 74586faa-752a-4d90-a380-566f06b7da46 · outbound

This paper cites Realnet: A feature selection net- work with realistic synthetic anomaly for anomaly detection,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Realnet: A feature selection net- work with realistic synthetic anomaly for anomaly detection,

Reference 26

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raw_fallback, observed 2026-08-16T12:25:55.467412Z

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.

source=pdf_text observed=2026-08-16T12:25:55.220041Z digest=sha256:d965a159c44ae14afbe8c57c0c511a5923c8ab0095f6752a0b5840070c8dd77b

Observation 8df78ba8-16b0-40f8-8bb3-9d81512c755a · outbound

This paper cites Defect-gan: High-fidelity defect synthesis for automated defect inspection,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Defect-gan: High-fidelity defect synthesis for automated defect inspection,

Reference 27

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raw_fallback, observed 2026-08-16T12:25:55.481390Z

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.

source=pdf_text observed=2026-08-16T12:25:55.215638Z digest=sha256:9bc0656113e6a418164c84047f744073cd4119d896d2eee09da6228bb4bd9eea

Observation f83db37e-a94d-4bc2-bc95-4502606f81f3 · outbound

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

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise Towards scalable 3d anomaly detection and localization: A benchmark via 3d anomaly synthesis and a self-supervised learning network,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-16T12:25:55.438852Z

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.

source=pdf_text observed=2026-08-16T12:25:55.227923Z digest=sha256:0f2b29d42b4a952c7d3b45a5d35d896c6680d4bc478e521f36fbf8b885b5f474

Observation d1a6c14c-e1a1-4fb0-8aa9-97bc82de93b7 · outbound

This paper cites The mvtec 3d- ad dataset for unsupervised 3d anomaly detection and localization,.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise The mvtec 3d- ad dataset for unsupervised 3d anomaly detection and localization,

Reference 29

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raw_fallback, observed 2026-08-16T12:25:55.453358Z

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.

source=pdf_text observed=2026-08-16T12:25:55.224049Z digest=sha256:a24f4dde16ad7f0a197cced445af98af9f749aceaef36ce024578a6fd0828849

Observation 48673a4f-642e-4c2d-a0a6-081f831f686e · outbound

This paper cites AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion.

3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion

Reference 2024

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no resolver link, observed 2026-08-16T12:25:55.120391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:25:55.120391Z digest=sha256:7fffa24df10e9625416088670c2ce00b8aef8bf0771f7687447043ee380c015c

Pith citing papers

Observation 433d82e3-3199-48f2-a964-fd40fcf84d81 · inbound

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

Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection 3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise

Reference 40

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local_arxiv, observed 2026-08-15T22:58:19.648339Z

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.

source=pdf_text observed=2026-08-15T22:58:18.821927Z digest=sha256:78d3593bb630f967d1d9f7fa3707601a2b6c11e558337b88795da67150d68b8c