Paper Citation Record · LEDGER

Instruct2See: Learning to Remove Any Obstructions Across Distributions

As of 20 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 2 inbound Pith citation observations for arXiv:2505.17649.

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

pith.paper-citation-record.v1
2505.17649 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:48:06.940330Z

measured 56 of 56 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 2026-08-04T05:01:06.222213Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T09:03:16.163467Z

Reference resolution

54 of 54 outbound references displayed

verified exact0
verified fuzzy49
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 04cb85ef-264b-4394-a803-53af9adc672c · outbound

This paper cites write newline.

Instruct2See: Learning to Remove Any Obstructions Across Distributions write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:02.302442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 387f7f5a-8e26-43b1-adf4-ab0faa253a50 · outbound

This paper cites Uav-rain1k: A benchmark for raindrop removal from uav aerial imagery.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Uav-rain1k: A benchmark for raindrop removal from uav aerial imagery

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:15.897895Z

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.

Observation 6666cf28-5fc0-41e0-a482-6db83e6aa058 · outbound

This paper cites Pre-trained image processing transformer.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Pre-trained image processing transformer

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:15.733242Z

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.

Observation 93c4c5fc-1ce0-437f-b2f5-4e2dacd8b8ba · outbound

This paper cites Sparse sampling transformer with uncertainty-driven ranking for unified removal of raindrops and rain streaks.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Sparse sampling transformer with uncertainty-driven ranking for unified removal of raindrops and rain streaks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:15.537243Z

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.

Observation 50816a78-23b2-4e6b-83ab-c4e6488e09f7 · outbound

This paper cites Lightweight image de-snowing: A better trade-off between network capacity and performance.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Lightweight image de-snowing: A better trade-off between network capacity and performance

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:15.464523Z

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.

Observation fd951062-bfa4-488c-b554-7c520d3bdc11 · outbound

This paper cites Neural spline fields for burst image fusion and layer separation.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Neural spline fields for burst image fusion and layer separation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:15.313987Z

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.

Observation ef5d70cf-c38d-4948-876b-52d60804f000 · outbound

This paper cites Diffusion-based semantic image editing with mask guidance.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Diffusion-based semantic image editing with mask guidance

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:15.149460Z

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.

Observation a3899a45-7ad8-4937-b131-02775ea9e004 · outbound

This paper cites an unresolved cited work.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:48:14.960342Z

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.

Observation 6e201af6-8d2d-446c-8976-b020b36319af · outbound

This paper cites an unresolved cited work.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:48:14.868263Z

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.

Observation 14bfe5de-3f9b-40fe-b740-e86bfea88b45 · outbound

This paper cites Learning contextual transformer network for image inpainting.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Learning contextual transformer network for image inpainting

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:14.703821Z

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.

Observation 6818b9e8-1dd8-40ba-93cc-e05638111c23 · outbound

This paper cites Accurate and efficient video de-fencing using convolutional neural networks and temporal information.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Accurate and efficient video de-fencing using convolutional neural networks and temporal information

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:14.617919Z

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.

Observation b7988312-8638-4d5a-b9f8-48d58e8c8d78 · outbound

This paper cites Blind image denoising via dynamic dual learning.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Blind image denoising via dynamic dual learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:14.390744Z

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.

Observation 3c58f469-6233-4bf8-952e-66420ac2885d · outbound

This paper cites Gradpaint: Gradient-guided inpainting with diffusion models.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Gradpaint: Gradient-guided inpainting with diffusion models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:14.236303Z

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.

Observation 247f8f33-b9fb-4f2d-bc0d-db95409ed73b · outbound

This paper cites W., and He, S.

Instruct2See: Learning to Remove Any Obstructions Across Distributions W., and He, S

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:14.050751Z

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.

Observation 6d252ad5-d025-4d39-b6a1-825caa0ff52f · outbound

This paper cites A., Petersson, L., and Li, H.

Instruct2See: Learning to Remove Any Obstructions Across Distributions A., Petersson, L., and Li, H

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:13.956858Z

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.

Observation 2e574ea2-18c9-47f8-ab81-c931e9141d89 · outbound

This paper cites M-rrfs: A memory-based robust region feature synthesizer for zero-shot object detection.

Instruct2See: Learning to Remove Any Obstructions Across Distributions M-rrfs: A memory-based robust region feature synthesizer for zero-shot object detection

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:13.816262Z

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.

Observation 30c4a27c-9cd0-4158-8673-a13acb9ae2b2 · outbound

This paper cites Portrait shadow removal via self-exemplar illumination equalization.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Portrait shadow removal via self-exemplar illumination equalization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:13.663163Z

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.

Observation 6303b8b5-4ff4-4e02-8197-a94c8559f0b5 · outbound

This paper cites All-in-one image restoration for unknown corruption.

Instruct2See: Learning to Remove Any Obstructions Across Distributions All-in-one image restoration for unknown corruption

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:13.470377Z

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.

Observation d8b08a3e-7d46-4f36-92d5-9d198784a452 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:13.368719Z

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.

Observation 743ab36b-e5f6-4ce9-b69c-42891f839405 · outbound

This paper cites T., and Cheong, L.-F.

Instruct2See: Learning to Remove Any Obstructions Across Distributions T., and Cheong, L.-F

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:13.124436Z

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.

Observation 8823d22e-eed5-4c1f-bb84-76b5ef8d7ce4 · outbound

This paper cites Mat: Mask-aware transformer for large hole image inpainting.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Mat: Mask-aware transformer for large hole image inpainting

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:12.925979Z

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.

Observation 7e735969-ca3e-4397-8d2c-59b3d646a6e0 · outbound

This paper cites Dual-pixel raindrop removal.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Dual-pixel raindrop removal

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:12.756296Z

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.

Observation c83a6e9a-f31b-4e52-82c0-dfd8be85b517 · outbound

This paper cites Desnownet: Context-aware deep network for snow removal.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Desnownet: Context-aware deep network for snow removal

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:12.511688Z

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.

Observation 65551c46-44ea-44ca-af3d-0affeb097f87 · outbound

This paper cites Learning to see through obstructions with layered decomposition.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Learning to see through obstructions with layered decomposition

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:12.300460Z

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.

Observation 2253669f-9fdd-499c-be03-ebd9f62d2fe7 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Repaint: Inpainting using denoising diffusion probabilistic models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:12.106339Z

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.

Observation 405a3cf3-c7e8-4a82-9804-832725b129d9 · outbound

This paper cites A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics.

Instruct2See: Learning to Remove Any Obstructions Across Distributions A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:11.853345Z

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.

Observation 02f8a9f3-b579-45c4-ac24-e63e9d52de25 · outbound

This paper cites F., Xian, Y., Gool, L.

Instruct2See: Learning to Remove Any Obstructions Across Distributions F., Xian, Y., Gool, L

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:11.618575Z

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.

Observation d4ceef95-7763-4e0f-87cc-7c6235b2f724 · outbound

This paper cites and Legenstein, R.

Instruct2See: Learning to Remove Any Obstructions Across Distributions and Legenstein, R

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:11.441696Z

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.

Observation 9de2697e-6091-44cf-aaa2-62645267e081 · outbound

This paper cites W., Khan, S., and Khan, F.

Instruct2See: Learning to Remove Any Obstructions Across Distributions W., Khan, S., and Khan, F

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:11.265983Z

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.

Observation 593b6786-5cf7-480d-88c1-26968a5962f1 · outbound

This paper cites T., Yang, W., Su, J., and Liu, J.

Instruct2See: Learning to Remove Any Obstructions Across Distributions T., Yang, W., Su, J., and Liu, J

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:11.065357Z

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.

Observation ae703ed8-d682-4040-8cbb-c4bd9d7ea343 · outbound

This paper cites Deep video demoir \'e ing via compact invertible dyadic decomposition.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Deep video demoir \'e ing via compact invertible dyadic decomposition

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:10.846880Z

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.

Observation 482e24b3-3530-4225-81dc-936a78fd0aa1 · outbound

This paper cites Image desnowing via deep invertible separation.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Image desnowing via deep invertible separation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:10.609198Z

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.

Observation 2c41e470-5165-41b0-aa26-9f7e5a7a7de8 · outbound

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

Instruct2See: Learning to Remove Any Obstructions Across Distributions W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:10.228837Z

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.

Observation c8842851-8cbe-4ad7-994a-457c5d63daa1 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Instruct2See: Learning to Remove Any Obstructions Across Distributions SAM 2: Segment Anything in Images and Videos

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:05.366775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c841566f-9625-4007-894a-c4bf952571f1 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Instruct2See: Learning to Remove Any Obstructions Across Distributions U-net: Convolutional networks for biomedical image segmentation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:10.063262Z

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.

Observation 79c05d04-03c1-4a2c-ad05-bc39224fdb59 · outbound

This paper cites and Stich, M.

Instruct2See: Learning to Remove Any Obstructions Across Distributions and Stich, M

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:09.897755Z

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.

Observation 66d7ceeb-3ab8-4091-8aca-593c951f8622 · outbound

This paper cites Restoring images in adverse weather conditions via histogram transformer.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Restoring images in adverse weather conditions via histogram transformer

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:09.745718Z

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.

Observation c56bef49-4183-44ca-96bd-ae358af8dda5 · outbound

This paper cites Resolution-robust large mask inpainting with fourier convolutions.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Resolution-robust large mask inpainting with fourier convolutions

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:09.600104Z

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.

Observation b7fa8015-fb48-4718-b197-498524024b26 · outbound

This paper cites Efficient flow-guided multi-frame de-fencing.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Efficient flow-guided multi-frame de-fencing

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:09.469690Z

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.

Observation 04ba326c-8f71-4a2c-8ec2-49521be95ff4 · outbound

This paper cites an unresolved cited work.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:48:09.358062Z

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.

Observation ed05245e-80c8-4818-bd0b-0050585bbdb4 · outbound

This paper cites Context-aware pretraining for efficient blind image decomposition.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Context-aware pretraining for efficient blind image decomposition

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:09.232115Z

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.

Observation 6f15005f-05ed-4e7e-ac77-a38447e019d3 · outbound

This paper cites Smartassign: Learning a smart knowledge assignment strategy for deraining and desnowing.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Smartassign: Learning a smart knowledge assignment strategy for deraining and desnowing

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:09.126531Z

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.

Observation 3f2d3d32-90b4-48f3-bd05-9517ecdaa2fc · outbound

This paper cites Single image reflection removal beyond linearity.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Single image reflection removal beyond linearity

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:08.986413Z

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.

Observation 58b8b7e0-84ef-411d-a39b-d691b3374f89 · outbound

This paper cites Mask-guided progressive network for joint raindrop and rain streak removal in videos.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Mask-guided progressive network for joint raindrop and rain streak removal in videos

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:08.836856Z

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.

Observation 94a75ecc-e9f8-4b96-b685-bc5c831b191e · outbound

This paper cites T., Feng, J., Liu, J., Guo, Z., and Yan, S.

Instruct2See: Learning to Remove Any Obstructions Across Distributions T., Feng, J., Liu, J., Guo, Z., and Yan, S

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:08.668826Z

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.

Observation f414963c-508d-4d2d-ac0f-9ef63a4f0f88 · outbound

This paper cites W., Arora, A., Khan, S., Hayat, M., Khan, F.

Instruct2See: Learning to Remove Any Obstructions Across Distributions W., Arora, A., Khan, S., Hayat, M., Khan, F

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:08.500185Z

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.

Observation 34156994-1c93-47b3-9fd1-997348fe4c22 · outbound

This paper cites Learning pyramid-context encoder network for high-quality image inpainting.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Learning pyramid-context encoder network for high-quality image inpainting

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:08.311542Z

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.

Observation 9a1fa19f-9071-4889-9fe2-31a7577cbffc · outbound

This paper cites Ff-former: Swin fourier transformer for nighttime flare removal.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Ff-former: Swin fourier transformer for nighttime flare removal

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:08.118083Z

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.

Observation cf60f36b-2303-4731-9c92-030c530e3917 · outbound

This paper cites Fast user-guided single image reflection removal via edge-aware cascaded networks.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Fast user-guided single image reflection removal via edge-aware cascaded networks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:07.902834Z

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.

Observation a14e9231-1dc9-4ee1-9973-2d2b58acf0bd · outbound

This paper cites Vision-language models for vision tasks: A survey.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Vision-language models for vision tasks: A survey

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:07.691412Z

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.

Observation 85fdaf2b-07ea-4109-85a0-918e9a89099c · outbound

This paper cites Single image reflection separation with perceptual losses.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Single image reflection separation with perceptual losses

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:07.541636Z

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.

Observation ba5daa34-9e9e-431c-befc-b548dab8271f · outbound

This paper cites Data-driven single image deraining: A comprehensive review and new perspectives.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Data-driven single image deraining: A comprehensive review and new perspectives

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:07.373137Z

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.

Observation 915fb009-0b37-4bca-af3e-c9ef707d5b38 · outbound

This paper cites Improving lens flare removal with general-purpose pipeline and multiple light sources recovery.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Improving lens flare removal with general-purpose pipeline and multiple light sources recovery

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:07.283747Z

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.

Observation f6bcc53d-9858-4445-a2c8-a97e1f7106cd · outbound

This paper cites Zero-shot object counting with good exemplars.

Instruct2See: Learning to Remove Any Obstructions Across Distributions Zero-shot object counting with good exemplars

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:48:07.156937Z

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.

Pith citing papers

Observation 94954eb6-8088-4e49-a70a-9d92cc4969d4 · inbound

V2VCrafter: Consistent Street-View Image Generation Across Vehicles cites this paper.

V2VCrafter: Consistent Street-View Image Generation Across Vehicles Instruct2See: Learning to Remove Any Obstructions Across Distributions

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-29T09:03:16.164864Z

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.

Observation b3f9fb74-d012-4c1a-8603-5163f2c80a84 · inbound

V2VCrafter: Consistent Street-View Image Generation Across Vehicles cites this paper.

V2VCrafter: Consistent Street-View Image Generation Across Vehicles Instruct2See: Learning to Remove Any Obstructions Across Distributions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T05:01:06.222213Z

Source-reported events for the cited work

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