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Paper Citation Record · LEDGER

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning

As of 20 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2411.17217.

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

pith.paper-citation-record.v1
2411.17217 v4

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:26:30.732296Z

measured 43 of 43 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:28:02.936653Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T23:18:58.554696Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved41
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f440f560-b253-4fd0-86ca-687eb92a796a · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:26:30.568409Z digest=sha256:0d948b769727be2bce3038bac41432dfd7f3d52fd33cc0d5b3d59fe68e07060d

Observation d8330232-be96-492e-a7ee-026484387916 · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 2

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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=arxiv_source observed=2026-08-12T12:26:30.573870Z digest=sha256:e3c0708a6a855ff9f3ccc9f1facb887e13138606dc5adc0ebd27b6e653a631f9

Observation c41e0887-b6c6-40e2-8cfb-edaac03d7db8 · outbound

This paper cites Segment Any Anomaly without Training via Hybrid Prompt Regularization.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Segment Any Anomaly without Training via Hybrid Prompt Regularization

Reference 3

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source=arxiv_source observed=2026-08-12T12:26:30.578037Z digest=sha256:07196454ff0d7ae980f43f4bc3e6466967adec5023f16cbd491028f03c621035

Observation 5bd2ec3b-6d59-42ad-a57a-30b69b9d887b · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-12T12:26:30.583289Z digest=sha256:9f8223879bbce3c265d58de8addc0020fe07195de46f99a4be3da47413369fab

Observation 2b226186-97d5-4830-88f5-dd2d807a778a · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 5

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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-12T12:26:30.587370Z digest=sha256:d8070e715696f3aa5619639291de77621b4161ccc16a01ae02e265668c025f98

Observation fcf168d0-828c-485f-960d-1726857bad16 · outbound

This paper cites SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 6

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source=arxiv_source observed=2026-08-12T12:26:30.592029Z digest=sha256:2ea42fd587de1b0900ecdd55f5f27cd3a4411211af391065b078f17b858cecbd

Observation 96e20bd2-dcf6-4b2d-8071-21bae8171f90 · outbound

This paper cites CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection

Reference 7

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source=arxiv_source observed=2026-08-12T12:26:30.596198Z digest=sha256:bffc5000d6a586b94f4c50f941471fb2fd6bd7c6f20ca310ec80a5bed1264146

Observation fdef570f-55e5-4138-ba2e-d6d648e84cf9 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

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source=arxiv_source observed=2026-08-12T12:26:30.600136Z digest=sha256:2f11a470596b05edb5416c7c6e26f9859ce18853c6dde2fb86b3abcfd3eb8c18

Observation 2e7f149f-5ad3-4729-b3e4-a82d08f4eff2 · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 9

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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.

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Observation 46c827ea-2b5e-49db-81f7-efe06814fdee · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 10

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

source=arxiv_source observed=2026-08-12T12:26:30.607595Z digest=sha256:05a845736d22476f78b053551f2da39fd520763b0f0064a888abc5c18b533b48

Observation 1de46b23-dfff-4575-9bad-92318bed9cad · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-12T12:26:30.611224Z digest=sha256:9d37095adda767c81569755cc0e622d581ac413c75b61cbda5d0bf14f580eb97

Observation 77c4a9a3-1a13-4d70-a09f-81c6705d609c · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning LoRA: Low-Rank Adaptation of Large Language Models

Reference 12

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Observation 6502297a-8304-4399-aded-07a352e4e027 · outbound

This paper cites On the Robustness of Segment Anything.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning On the Robustness of Segment Anything

Reference 13

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source=arxiv_source observed=2026-08-12T12:26:30.619552Z digest=sha256:1c598b693ecf33244e0d03c9a3179974f715f58a605909ef7596092f81676a2f

Observation 3a39178d-6559-41f5-8406-d397b3158bbd · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 14

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source=arxiv_source observed=2026-08-12T12:26:30.624307Z digest=sha256:f9645ebe0ffb866f15a2f45da21544a9ddfcc2e37f52ba61c9e1c8c0202c03ff

Observation 85d4fa18-d207-4d2b-be3b-23b57caf2918 · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 15

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source=arxiv_source observed=2026-08-12T12:26:30.629027Z digest=sha256:06b754e07eab8f0d36cb4be2e6b0b4fad34d218001cebf262abf44dc49e2c92a

Observation ecc7cc96-9b0a-4bd9-8d5f-c450efa0ea2c · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 16

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source=arxiv_source observed=2026-08-12T12:26:30.632697Z digest=sha256:ce7ea2025953c53e0a1d2ed3b68af6afeaa8263bfa8c824b241c6560005ca43c

Observation 00bf8543-036f-49e5-a560-9e91bafb8c39 · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-08-12T12:26:30.636404Z digest=sha256:866db2651c6d3d30a2b8b7bbed17f51497367b8bb080541c2657b6fca8418b39

Observation 2a51aba3-87c1-493e-83ad-099495f2f3b9 · outbound

This paper cites C.; Lo, W.-Y.; et al.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning C.; Lo, W.-Y.; et al

Reference 18

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source=arxiv_source observed=2026-08-12T12:26:30.640128Z digest=sha256:7298db6fa89aa0c2099ec3ca6ed7dbb36c77646f91ce224b29e140442420b630

Observation 166b3b9c-dc1c-4e3e-8f3e-adfd3e817f68 · outbound

This paper cites NOLA: Compressing LoRA using Linear Combination of Random Basis.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning NOLA: Compressing LoRA using Linear Combination of Random Basis

Reference 19

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source=arxiv_source observed=2026-08-12T12:26:30.643720Z digest=sha256:bbf5d05c84d70d2ac675cd875a1262f7340b618d0c1883f80eee1e9beafdb212

Observation 21794a93-6279-4f27-b53a-a553e20c45f2 · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-12T12:26:30.648417Z digest=sha256:a61bd2fbf0dd4610525f7b7dbff2a951704b772e8f128995a417cd3e3af02578

Observation 469d2ed2-9f72-433d-9eb8-935a6acea737 · outbound

This paper cites ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

Reference 21

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source=arxiv_source observed=2026-08-12T12:26:30.652790Z digest=sha256:527d12bdc03e04f5ccf5a02d4a87466b925b4b3064bf84eaa6288054ec9cc726

Observation d7b149e6-9e5d-4945-a25d-6a3852b341d5 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 22

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source=arxiv_source observed=2026-08-12T12:26:30.657370Z digest=sha256:e176d5bcbfdc44621d5ebec49cb42e5c918309c820988f04abdbd011030c85e2

Observation 2ea353bd-183f-429e-aee0-0f76cea32f4b · outbound

This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 23

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source=arxiv_source observed=2026-08-12T12:26:30.661925Z digest=sha256:490bfa9e7a5df0072e8f84d0248f00572e0768879dfc68a6a771dc48a08efc05

Observation cb04e42d-0c86-4b7b-9bca-dcb19d739323 · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-08-12T12:26:30.666476Z digest=sha256:7b6f5fc88f019d3a6ef0529a5187fb591e899712b5af191be91832d6efce058c

Observation c6dfc57a-b978-4d36-8ae8-bf640eab574b · outbound

This paper cites W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al

Reference 25

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source=arxiv_source observed=2026-08-12T12:26:30.670986Z digest=sha256:e927ac395d000e7d538f10fa3f1a46f3925baa20ccdc4bb0e790093fd7751617

Observation 710e9448-fed0-4a07-9679-37334469a179 · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-08-12T12:26:30.674554Z digest=sha256:b857566c66269cdbcf49d85be635dbd6050fc9349cd90e1bac4b16cbc5c43c28

Observation 40764663-0afc-48ea-ae79-c153f3601892 · outbound

This paper cites RepViT-SAM: Towards Real-Time Segmenting Anything.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning RepViT-SAM: Towards Real-Time Segmenting Anything

Reference 27

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Observation 7c71ca28-6a1c-4db6-a43f-520427ad442d · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 28

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Observation 521546de-c27c-4dd4-857e-9d3f5ea8da4b · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 29

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

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Observation 20ee160e-7ef7-47d8-a3b2-4c95c66bf847 · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 30

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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.

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Observation 91f750d9-4143-4a1d-9406-9cc5dfc2d51e · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 31

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

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Observation 20a330b9-92df-4efe-97a4-d0a696e572d6 · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 32

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

source=arxiv_source observed=2026-08-12T12:26:30.698788Z digest=sha256:1071eafbcc888eb12184d753639b197c7891680ce6b5ca24f8dc748e90a2016f

Observation 4e2735e8-bf5d-4086-a7b1-cb14f1dcbf7c · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 33

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Observation 7e374a02-656d-4949-9cb0-766f59925690 · outbound

This paper cites B.; Ravfogel, S.; and Goldberg, Y.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning B.; Ravfogel, S.; and Goldberg, Y

Reference 34

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Observation 6ab5ea44-e6cf-401e-892c-1b34fc3b89e1 · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 35

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

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Observation df3c9346-b1ef-4ee4-8712-fe72e4ffa219 · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 36

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Observation 8b8e85a8-67a2-4d65-8e6c-31498c9eafd0 · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 37

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Observation 08791faf-7527-462f-886f-df6371391547 · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 38

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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.

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Observation 9d5d708c-a3b1-4578-80fd-258d26296db7 · outbound

This paper cites an unresolved cited work.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Unresolved cited work

Reference 39

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unresolved
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Observation 14eb134e-e2b6-4690-9b05-a64d1b87ec5d · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning , " * write output.state after.block = add.period write newline

Reference 40

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unresolved
no resolver link, observed 2026-08-12T12:26:30.727954Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:26:30.727954Z digest=sha256:96ad22d387c662bdef732bf6bcd7b61fdc1f30f7b479e1e0336501daba9169b6

Observation 7259dd35-e2ff-4146-9d49-5f5b4e98ffac · outbound

This paper cites write newline.

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning write newline

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T12:26:30.732296Z

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Pith citing papers

Observation f31a2d77-4f0c-4012-8b91-240adecb5549 · inbound

YOLO-UniOW: Efficient Universal Open-World Object Detection cites this paper.

YOLO-UniOW: Efficient Universal Open-World Object Detection Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning

Reference 58

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verified exact
local_arxiv, observed 2026-08-10T23:18:58.562600Z

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

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Observation ea6ddc83-31f6-4213-9442-5c9265a4efce · inbound

LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection cites this paper.

LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning

Reference 29

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unresolved
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