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Paper Citation Record · LEDGER

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection

As of 20 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2605.25407.

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

pith.paper-citation-record.v1
2605.25407 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T23:06:25.485949Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

19 of 19 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c517191-0750-482d-b891-91ad0abfb5d1 · outbound

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

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection Winclip: Zero-/few-shot anomaly clas- sification and segmentation,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:61579d38a5ab3c59a854af43d08235ae232443869bdd355d1243ec835053cda6

Observation 0ea567a0-d8bc-4312-bd35-ecd5a629afb4 · outbound

This paper cites Adaclip: Adapting clip with hybrid learnable prompts for zero-shot anomaly detection,.

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection Adaclip: Adapting clip with hybrid learnable prompts for zero-shot anomaly detection,

Reference 2

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source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:2ccafc4ce26a7483301826d2b05af100d5b3e24ca5a2ece449781a617e2e9f59

Observation 005b066f-03e1-43d3-90ae-30fe222a300e · outbound

This paper cites APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD.

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD

Reference 3

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arxiv_id, observed 2026-06-29T23:14:02.021467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:e673fcfb133596820cdca5b581b57e8832b557984933d2ea7c1805a1cd43156c

Observation ff59deca-4e96-4a9b-b1ae-1184329a3eaa · outbound

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

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection,

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:854c038f82afbdea8808150d6f77e902cfdd34a87b0b12d64ad3123e0adeddc7

Observation 666da050-dea2-4252-85cc-4a3e1ce74975 · outbound

This paper cites Aa-clip: Enhancing zero-shot anomaly detection via anomaly-aware clip,.

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection Aa-clip: Enhancing zero-shot anomaly detection via anomaly-aware clip,

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:2cffd6e82c8c5e9aac73c32cdf36aae2f920a3d5cff49235e520e5517aaa173f

Observation 460a7fcf-0949-4c63-bbba-5e1b2582fbf6 · outbound

This paper cites Bayesian prompt flow learning for zero- shot anomaly detection,.

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection Bayesian prompt flow learning for zero- shot anomaly detection,

Reference 6

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source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:a1f9d782b2ef81f9622c55b45e464bdfaa0697999b60f46cbd8db603478d2ab9

Observation d1ebe980-d48e-4e35-9907-5d96162a6b99 · outbound

This paper cites The mvtec anomaly detection dataset: A comprehensive real-world dataset for unsupervised anomaly detection,.

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection The mvtec anomaly detection dataset: A comprehensive real-world dataset for unsupervised anomaly detection,

Reference 7

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source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:57e8fca1e86bec3eb9d9a71d178c0d52ef65e47f14b14a541a14164153bc69b9

Observation d7a31fd2-6e0f-466e-bbef-d412ac3262d8 · outbound

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

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection Spot-the-difference self-supervised pre-training for anomaly detection and segmentation,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:a0db172018b6d75182a3a4797d5b0fd8fc899c63df442cc10c7b16bc4e2f7bfd

Observation 32f8cc4d-762b-479b-af49-d0f7fb6ec939 · outbound

This paper cites Flexible robot-based in-line measurement system for high-precision optical surface inspection,.

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection Flexible robot-based in-line measurement system for high-precision optical surface inspection,

Reference 9

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source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:b9c04561e89a30f7af9c20915fb1130711db97a055ff6b7d70bddb8f3199cf40

Observation 62ad47d7-ce4c-40fe-a95d-be108d3b5576 · outbound

This paper cites Robotic inspection and data analytics to localize and visualize the structural defects of concrete infrastructure,.

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection Robotic inspection and data analytics to localize and visualize the structural defects of concrete infrastructure,

Reference 10

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source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:ee7b8d58813e792ad272b50993572516cf4733764ceb9590e88603c66b914474

Observation 49c491ca-29d3-41aa-87c9-052d494ae8e3 · outbound

This paper cites Pso-based optimal coverage path planning for surface defect inspection of 3c components with a robotic line scanner,.

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection Pso-based optimal coverage path planning for surface defect inspection of 3c components with a robotic line scanner,

Reference 11

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source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:e7686e83f9a1798e169c56cb81e4c612562e6e979909eae205b7a3764c407e6c

Observation 1eb7d8a3-ae75-4799-a14e-833dc9fbfd3d · outbound

This paper cites Pad: A dataset and benchmark for pose-agnostic anomaly detection,.

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection Pad: A dataset and benchmark for pose-agnostic anomaly detection,

Reference 12

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source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:17d6891202bd04f8ae85fdf61dd50732431f021186dedc55d3f5c043fd01f1b1

Observation 713db7f9-4b0c-4a61-8b0f-8fed2f9ffbc2 · outbound

This paper cites Splatpose & detect: Pose- agnostic 3d anomaly detection,.

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection Splatpose & detect: Pose- agnostic 3d anomaly detection,

Reference 13

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source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:f4cd3673b8de0b2e73d07b0f86cee665b1c8137b4b626563c398020c647a6ce3

Observation 1edee9dd-7ff4-4064-b72c-87305956478e · outbound

This paper cites Sim3d: Single-instance multiview multimodal and multisetup 3d anomaly detection benchmark,.

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection Sim3d: Single-instance multiview multimodal and multisetup 3d anomaly detection benchmark,

Reference 14

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source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:2c63357255e0334b58719df2781af5acc2364d0a7069d05e370582bf9d116a1b

Observation 34bf8205-e470-4804-874c-424490380143 · outbound

This paper cites Pcad: A real-world dataset for 6d pose industrial anomaly detection,.

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection Pcad: A real-world dataset for 6d pose industrial anomaly detection,

Reference 15

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source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:d760831962041022a8f879ddd67cc903560bcc8bdfd728eb0bf2233f3caabc59

Observation c9dbf114-80ef-444c-9850-bead0c8a5473 · outbound

This paper cites A verification-oriented and part- focused assembly monitoring system based on multi-layered digital twin,.

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection A verification-oriented and part- focused assembly monitoring system based on multi-layered digital twin,

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:34ecc4768be27883367144138f895f7f58e2b7d15367f2d7895ecb9c69f8d20f

Observation 4422c400-44e9-403c-ae8f-5efc0e76c141 · outbound

This paper cites A unified model for multi-class anomaly detection,.

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection A unified model for multi-class anomaly detection,

Reference 17

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source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:77d4f32873033e481e8fa954147b52c092c8109bdbee60491cbe2dacf44ba650

Observation 04f1bb38-2b2e-4e98-8621-7c674b8ca466 · outbound

This paper cites Dinomaly: The less is more philosophy in multi-class unsupervised anomaly detection,.

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection Dinomaly: The less is more philosophy in multi-class unsupervised anomaly detection,

Reference 18

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source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:b6fa69c55c8da4e3d2f2cb3775a2c1da0b71f272593ae26ffa59afc544ddb279

Observation ecf88504-e265-4a9c-a781-9913770aa66b · outbound

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

Towards Active Real-to-Twin Inspection: A New Paradigm for Zero-Shot Anomaly Detection Exploring intrinsic normal prototypes within a single image for universal anomaly detection,

Reference 19

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source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:7bf3f98dd9df3e4561cfe0116cee6770006ea8cc6d98d6920df7a9d87a5ecd94

Pith citing papers

No inbound Pith citation observations are available.