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Paper Citation Record · LEDGER

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection

As of 8 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2508.09392.

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

pith.paper-citation-record.v1
2508.09392 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:11:16.195202Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy30
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6fd79997-7a62-408b-a5a7-e7af2ec7ed3b · outbound

This paper cites write newline.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T21:11:16.033375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:11:16.033375Z digest=sha256:116af3438cd2dd2f298d5627122d6627eb2de6dc0ad8cfa59584989607de61be

Observation 3854f4a4-61d5-4302-ba5d-1f0b1dea4d4b · outbound

This paper cites Cascade R-CNN : High quality object detection and instance segmentation.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Cascade R-CNN : High quality object detection and instance segmentation

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.670511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.038208Z digest=sha256:4df41de46b226a82c8ae94e23069d5be98db8c36f57d6bacb5bf6a01bf1b8bf0

Observation 20225e75-e48c-4a4f-8d1c-6d608294e0f0 · outbound

This paper cites End-to-end object detection with transformers.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection End-to-end object detection with transformers

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.662666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.042395Z digest=sha256:f311b2aed1620baf273fe87b5f227cd9e4d4d3f6ee56fe3637c884c8a81847fd

Observation 0b211ed4-e21e-4849-9cbd-726fd28d5efb · outbound

This paper cites Amplitude-phase recombination: Rethinking robustness of convolutional neural networks in frequency domain.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Amplitude-phase recombination: Rethinking robustness of convolutional neural networks in frequency domain

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.654969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.045611Z digest=sha256:1544f4e352c2e6ab908a5f4e801bb02a94f3343089df0c2e585e10af9946e5a6

Observation 313eb00b-8b9a-4056-a775-139a91732acb · outbound

This paper cites You only look one-level feature.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection You only look one-level feature

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.647216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.048817Z digest=sha256:4f18371afcfdb2263d03ea7174d09f1f586ab6df68913b6aca085d55b512f21f

Observation d2b23993-c84d-4637-b02c-b068627389b8 · outbound

This paper cites Disentangle your dense object detector.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Disentangle your dense object detector

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.639613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.052125Z digest=sha256:57f46788f99c304c8cb225d3fba65fb40a5718346361afb89dba5997370541c4

Observation 8b300b3a-e6ae-496d-8623-05f3f59600e8 · outbound

This paper cites Denodet: Attention as deformable multi-subspace feature denoising for target detection in sar images.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Denodet: Attention as deformable multi-subspace feature denoising for target detection in sar images

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.631821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.056416Z digest=sha256:aee832a1537d6a57beade970390919e70b98ab951c7e3ccd1193531ee2833b36

Observation c593c49e-842a-45c0-bb0c-0f1625280634 · outbound

This paper cites an unresolved cited work.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-05T21:11:16.624190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.060433Z digest=sha256:a2be2bc8fce6795d2a1539949eddc8e9353927cbe0c7cce7c5b5d2c247ea8485

Observation d46009e4-0f9a-49ac-a38e-837922497f93 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection YOLOX: Exceeding YOLO Series in 2021

Reference 9

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unresolved
no resolver link, observed 2026-08-05T21:11:16.066504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:11:16.066504Z digest=sha256:2d59e16ad71ecacb2d38cc8db9c2eeafe349a4cf610536afb4871d4a91ed31bd

Observation 15ba597c-3a29-4fe2-94e3-3851f48c5c5b · outbound

This paper cites an unresolved cited work.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-05T21:11:16.616987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.070983Z digest=sha256:7d6fdf2b0f3a894298c76bda91ce29694683402be764ac4fe538dfd42d0e06f0

Observation e6157b96-6095-4e4a-a462-82c9605a6f07 · outbound

This paper cites Probabilistic anchor assignment with IoU prediction for object detection.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Probabilistic anchor assignment with IoU prediction for object detection

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.609295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.074336Z digest=sha256:ea2c8bf49f4191f40572ae18b34ed052ed3a181d77eec970c5c5955ee6eb9fb8

Observation 4e40aaad-fcb7-42c1-bf74-fc5c53a96913 · outbound

This paper cites A novel multidimensional domain deep learning network for SAR ship detection.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection A novel multidimensional domain deep learning network for SAR ship detection

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.601416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.077495Z digest=sha256:ea74ddb3aa3d3f1696ee172eb655a3a90023e86853e048983d12053cc7201124

Observation 8a63c65f-6a4c-49d6-80a2-e55c98e0e90b · outbound

This paper cites an unresolved cited work.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-05T21:11:16.593676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.081483Z digest=sha256:a8d62c8a618f49fce01c37167409c381d751467e3c91989d654c487940b0b7d0

Observation b144cf0e-1e79-474c-b53b-56293d46c424 · outbound

This paper cites Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.585770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.084747Z digest=sha256:557566fbd5adca81b0c02ed31c206198ecf0240a127382fbed1c64aee1939f6b

Observation c54d3ba3-a5b6-479f-b5af-531fb5e0d1df · outbound

This paper cites Large selective kernel network for remote sensing object detection.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Large selective kernel network for remote sensing object detection

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.577318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.087666Z digest=sha256:50f310bf6c53298e778921c23cd3682c5767484c609da742489a8ec82d320756

Observation b784fafa-6c54-4fca-83e2-474127ebb7a4 · outbound

This paper cites SARDet -100K: towards open-source benchmark and toolKit for large-scale SAR object detection.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection SARDet -100K: towards open-source benchmark and toolKit for large-scale SAR object detection

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.569096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.091177Z digest=sha256:5ad8d41bb0101a9d631c7b6ba4d8eedb106d816b39fd9d8a61cb33cd291ef7b8

Observation 553b8250-34a4-4361-bbec-fa71670a07fe · outbound

This paper cites Sm3det: A unified model for multi-modal remote sensing object detection.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Sm3det: A unified model for multi-modal remote sensing object detection

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.560971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.094325Z digest=sha256:c43bcd52dcc8c1344b4719996aeb1869d43b0c2fc000552c0209f9de1f70146c

Observation e0e51bd6-1424-43b6-9f12-3953234852a6 · outbound

This paper cites Focal loss for dense object detection.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Focal loss for dense object detection

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.552780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.098283Z digest=sha256:b21a1024e04fc8389abc8f21726a7f098e5d736baec925195a03fdd10efc009a

Observation 5199a1be-926a-449c-b40d-5c49f8da1b3b · outbound

This paper cites DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T21:11:16.101502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:11:16.101502Z digest=sha256:086af0bad99baebcd5789a153eefa8875fd2fe0d56b2a92e5c4e5e663f1cd0ca

Observation 2630c5a0-8c91-4875-922f-2472a6921cf1 · outbound

This paper cites DAB-DETR : Dynamic anchor boxes are better queries for DETR.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection DAB-DETR : Dynamic anchor boxes are better queries for DETR

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.544380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.105578Z digest=sha256:706018553bbe7e5429d772f7b379e73cf92562e5652619a075bee5b3ed82ae93

Observation 9c17a638-4115-402b-b668-523ed38fe53e · outbound

This paper cites A ConvNet for the 2020s.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection A ConvNet for the 2020s

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.536270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.109310Z digest=sha256:1cfdacf46aa41e6a01806fa4d00552ddcd76093c9864a7b3fd1ab1db8fa9f3cb

Observation 2c80ccfc-7f75-4df7-a99d-33a83a9398db · outbound

This paper cites Grid R-CNN.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Grid R-CNN

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.523471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.112174Z digest=sha256:7e11caac063211a8fbe8aa039195ce2d298de58392b81182a61785015f568cb1

Observation 396f490f-5b93-494a-aace-5bd7dceb9f22 · outbound

This paper cites Libra R-CNN : Towards balanced learning for object detection.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Libra R-CNN : Towards balanced learning for object detection

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.514536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.115660Z digest=sha256:2df6db45df0386383680ae8793907069d646ffd55f306cc1318e8fd7b1c17f43

Observation e8002abf-1e1f-4769-ae39-85ee3881143c · outbound

This paper cites Faster R-CNN : Towards real-time object detection with region proposal networks.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Faster R-CNN : Towards real-time object detection with region proposal networks

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T21:11:16.118753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:11:16.118753Z digest=sha256:3e50f29a868dd4cc409ee86c5aefa306420d7b8b8e6a47cc6893218ad2d5ff9f

Observation 32479a7f-b857-4837-a233-2a2decc9e699 · outbound

This paper cites an unresolved cited work.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-05T21:11:16.501689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.122493Z digest=sha256:e59e68af6500be961545af5f677313b62b3298fa2907141d76bc309d42bdffae

Observation 2e911e9f-4d5d-4edc-bced-e431b48392f4 · outbound

This paper cites an unresolved cited work.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-05T21:11:16.493620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.125422Z digest=sha256:264be335a109591e742e19d75dbbe8390140625909d3a9ec7d0f38f879a99f34

Observation f69b7643-90f0-4054-932d-2e66e3488c49 · outbound

This paper cites FCOS : Fully convolutional one-stage object detection.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection FCOS : Fully convolutional one-stage object detection

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.485433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.129707Z digest=sha256:96c352f43b7b5ace7812fa69cda51741576768f0bcb0cb90c2b4e97e99bae923

Observation 60c22eed-963e-444b-b783-13a8eab28c2f · outbound

This paper cites Attention is all you need.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Attention is all you need

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T21:11:16.132900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:11:16.132900Z digest=sha256:9bf36842a54e5000930fbd13885b49f5a639dacea1f92d6969a45f4782b9714b

Observation c4ad4b99-67a6-4cbb-b35f-71256de0692c · outbound

This paper cites Automatic sar ship detection based on multifeature fusion network in spatial and frequency domains.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Automatic sar ship detection based on multifeature fusion network in spatial and frequency domains

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.472426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.138541Z digest=sha256:3826289a4648a8636b7f067d275f2a2a81e4a2b9bd12d4722a0aa3ccbe32d95d

Observation e65ca88c-ce10-44e8-8e40-a6fa8ebf4a00 · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Pyramid vision transformer: A versatile backbone for dense prediction without convolutions

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.387260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.142130Z digest=sha256:b4014d1dd4b2b2817216ce0473f61eaee7bc991416dddb2bd95f11c296d9634f

Observation bcdd00b1-bc9f-4dd1-8ce5-731aad947f01 · outbound

This paper cites ConvNeXt V2 : Co-designing and scaling convnets with masked autoencoders.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection ConvNeXt V2 : Co-designing and scaling convnets with masked autoencoders

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.379658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.145101Z digest=sha256:2062f09cedd15e455007be0295c123fd8999c793ad73a9d92057db056d320549

Observation fdaab863-c533-4afc-9705-426fb490fc7e · outbound

This paper cites AIR-SARShip-1.0 : High-resolution SAR ship detection dataset.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection AIR-SARShip-1.0 : High-resolution SAR ship detection dataset

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.371761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.148816Z digest=sha256:8dd251db7d9d095c1a51ac3211155b5a951aed1ecba82b23e94095c8a0c1bb6b

Observation 918931fb-d81b-4f67-b579-44cd722f6d2f · outbound

This paper cites an unresolved cited work.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-05T21:11:16.363214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.152952Z digest=sha256:3a9bdbb166e39213ef0b6ff377a82845bfe7d61b7d24fff9d5e0d5c5a1e4d444

Observation f1a5b4ec-c330-415a-a555-deb3aba4c861 · outbound

This paper cites RepPoints : Point set representation for object detection.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection RepPoints : Point set representation for object detection

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.355476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.155503Z digest=sha256:38197f0535377b02aea0c5d30089e6ae0ffdee67f6b15ae85df9f7c4bc27b4c1

Observation fd057e7e-abc2-4caa-9563-99e3c2736a99 · outbound

This paper cites Dynamic R-CNN : Towards high quality object detection via dynamic training.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Dynamic R-CNN : Towards high quality object detection via dynamic training

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.347538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.159125Z digest=sha256:2560b3a0a8c1f54b6853fe3d06c094c342cc933bfd268ecd6533f4848dff57c1

Observation 455b022b-a127-4028-ad05-854b3ae709a1 · outbound

This paper cites VarifocalNet : An IoU -aware dense object detector.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection VarifocalNet : An IoU -aware dense object detector

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.337510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.163343Z digest=sha256:356c3f0e7f4b3450327e707e99e270754e83c8d2eac69e2e7b61254f0fc52f3d

Observation eb4d08fb-c590-4c1c-b18c-8501be66b85c · outbound

This paper cites an unresolved cited work.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-05T21:11:16.325134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.166282Z digest=sha256:9bb5d4907e28293eb29cb08a4ea0df05ac9eb19d16fc838921a894ab48ae3ead

Observation e87fb798-52a9-42e7-9c40-a162c151b54b · outbound

This paper cites Rsar: Restricted state angle resolver and rotated sar benchmark.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Rsar: Restricted state angle resolver and rotated sar benchmark

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.307253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.170526Z digest=sha256:9550ee2faf4bf2c6b52d4b806e01141e7392bea91c915ab26a145a4ac0090bdb

Observation 1b37c2d7-595a-4695-a3f8-55e8157a2e9f · outbound

This paper cites Sar ship detection based on end-to-end morphological feature pyramid network.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Sar ship detection based on end-to-end morphological feature pyramid network

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.292567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.173958Z digest=sha256:614392046f531a8454bc7bd9d841ebe22aa68cd2eda490d1729d50b982457847

Observation 0bba8df8-d585-4e5a-ac33-11888c6d6380 · outbound

This paper cites an unresolved cited work.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-05T21:11:16.283627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.176315Z digest=sha256:19a9963bd43a7d665866412fbbd958a3e2565a68c59a46fe87dde984ee268f97

Observation 683707f6-da6e-4995-ad60-cf4ce61a4614 · outbound

This paper cites SAR-AIRcraft-1.0 : High-resolution SAR aircraft detection and recognition dataset.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection SAR-AIRcraft-1.0 : High-resolution SAR aircraft detection and recognition dataset

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.273824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.180515Z digest=sha256:4b16fba3097b84f6bfc6c8348c3a60140cca6f8ab7ea37892f52775194f58329

Observation 8efd9c10-244a-4ac0-ac80-3ea344da45a9 · outbound

This paper cites Objects as Points.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Objects as Points

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T21:11:16.184064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:11:16.184064Z digest=sha256:a19ddda5547f1bb67e71fa8457a71cbca982c454f6bc21f326b1228348a8f8d3

Observation a29c3db2-658a-4ca5-a0dd-5af2e92c54de · outbound

This paper cites PVT-SAR : An arbitrarily oriented SAR ship detector with pyramid vision transformer.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection PVT-SAR : An arbitrarily oriented SAR ship detector with pyramid vision transformer

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.263880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.189036Z digest=sha256:95b63aff532f54bc7b8bf13118e0a8a318e89386cddc1bf87ab1dc18a851da5e

Observation 47c2ff30-3f35-4622-8e63-084bb584f6af · outbound

This paper cites AutoAssign: Differentiable Label Assignment for Dense Object Detection.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection AutoAssign: Differentiable Label Assignment for Dense Object Detection

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T21:11:16.191431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:11:16.191431Z digest=sha256:d85850f1fa3d1a04f8efe0b05e340d2674fdc449251756a5c96d53b528e729ce

Observation b8f43d80-813b-4a13-8be6-c49d847ce944 · outbound

This paper cites Deformable DETR : Deformable transformers for end-to-end object detection.

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection Deformable DETR : Deformable transformers for end-to-end object detection

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:11:16.254003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.195202Z digest=sha256:55c0d96730319fe381d876209525a51b85cb65ff6364aac323867e0f4b4ca762

Pith citing papers

No inbound Pith citation observations are available.