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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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:b84fd691892e1f14de8aeb3c4f282062db6208d9823caad50d418df798de7ecf

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=sha256:288052cff260ac4a6eb6880d92148cc7034bb49f5be4c90e85e9158e555298c2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:88d88f801a1399e8bc39d7dc11d082dadd315bee5d229a503e84e8ec4d98e518

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:dadb70dd0159586621f0695cbb83327e189e0dc83ccea7d33da599c41c160e3a

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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source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:f116d2e03e2ab44dd57d138ce772b0af68f2996ceab6995123eb2581da41a745

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:e147f6a8c78b8b9f7c48c6c09a2c6dcf088297d1f8ebec8bb24db7a6e7291eb6

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=sha256:18eac9552945f20370b8a7db13664dab401c9f326f03a00cb8ba038e58ff39e7

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=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:9a6237a42d84a35ed48786f65bb2757ed282b3ce36714ea55327dc2ea69975ab

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=sha256:71496fff353c55218e7053c58a8c480cfe81f99604a86d56019795584896890a

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=sha256:4cd2e2e56b1091b591e3539d25daa91088259e203fca4cb858f7403d2c7b17ee

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=sha256:47b9971488265af9edb9d5b327a30b3f8cc1e07e83256e45bbc778b01b4befa4

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:d9a4229e5cef4e5f1a35ce720b14111db49b6b4ab17f5eb54c711821960eb237

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=sha256:989e9f2d5f94929987d69247657f1ffad11041224767527e36a0b7d9b9b03410

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=sha256:20376785283b78182e18a5a310978aec2dabe5b6b0e7002a80f643e5d6f8111c

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=sha256:6c85221962ffd81e9f8e63a3f59b0fdd77d5c10cdc760fa4e5bbaea9dcf232c3

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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source=pdf_text observed=2026-06-29T23:06:25.485949Z digest=sha256:75cff29c7439183a9ce09f24aad1c4255742f0f9ca5b93f936af621b88f443ca

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:b3a508f90a20624c522308f16ac7e2219efbe722aba706827a2214064e45d789

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=sha256:3b822991984afb44b30902981a1062feccad37703714543a8efafab61ea18416

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:d7f71092ec9774619722ded2c1d4cf48c1b01f79c7e2db5a9b87a6f24881745f

Pith citing papers

No inbound Pith citation observations are available.