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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.038208Z digest=sha256:ae6767abc77a783bea70cec1b4b658a6d99d0bcd461b5012b295ff0ec9816528

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.042395Z digest=sha256:6c4eb9efccc3f38d6fba8640a8a04d8efc4061a0cb786bce0eb59e872ba02a98

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.045611Z digest=sha256:1f647a7c27adfc1b0bd77f456db7d6c1e7fe648d94013ba065558dbd3f7f2704

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

Resolution
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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.048817Z digest=sha256:e667e2241d57b7ea2bf3dc5101c394ac5bcf4d05fe6c34b9b69ace7d7e0c5074

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.052125Z digest=sha256:c28ef01de4ae58e486b70bef393020f4dc2b97f06ea58aebcc9404e078734efb

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.056416Z digest=sha256:231afbf34b62fe104f11a3a788eb935783dc7735b4f408b52ef4e1c6f1164f36

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.060433Z digest=sha256:fe84b3c938ded2a0374ec5255d92a9a7dd9039b9bd30f40af55ed42f5915c0bd

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

Resolution
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:e4a71ba5ed06f7ee9105ddcd1f23d243c2feeadcc77cb807cc10b4f8a5d9bad7

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.070983Z digest=sha256:093a339b47d7376d78f16b5fcd05ae7a11aabaa80ad5aa8e6db08a1dee308e64

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.074336Z digest=sha256:3516da7f79ac259e299b4155f8bead1a5721c64d179ec0feda763051404830cb

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.077495Z digest=sha256:db8a065391103c99010bcf4f8519db153a96c6ff780c419d42352c81dc18bb00

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.081483Z digest=sha256:5bd9ad3e246781e832b56a5b8284b573abb79d1052ab840e82bbfc2cb2ef5167

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.084747Z digest=sha256:2bfe44e5cce2ddaf4ceb9f8e2cb7a2a35e34758084347605af4e184cc5eda4e4

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.087666Z digest=sha256:7fd530dedff087c067d3aa12ddd8f72467c6d2f1a0aa8cfd5b622ae2fbb3e7ab

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.091177Z digest=sha256:eee4ab7e0c1ae8fd8c9d43c8a80ad0fd5298a2583855fd2bd042aa9d6c1ff709

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.094325Z digest=sha256:25d7dccab3473d74e846fd9e6fec8e2195cd759e5e7c276ced0404ebaa054592

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.098283Z digest=sha256:3d7cbfaacd14ec052cf4671d298fe3beb423b18e0bcfc82a7dad9e6275e99c51

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=sha256:8fa95979b9b9939ef38bffeb61ecaed470573b94464d5a84e62a4d3592d60925

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.105578Z digest=sha256:5b7a911dc8dc6e47e81f6963d727b90905ac7c73ebaca2e286f3405cc00347e3

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.109310Z digest=sha256:f6287e4e7dd82bf895ee866088ac31da4378b9d12c2246f4f5c668e053bd8bbc

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.112174Z digest=sha256:3567884684ea0d4b5397a49dddb7d9f6577d0153c552da7fa49ea6f311f0d7f4

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.115660Z digest=sha256:12b39660be7cbe62c95fb3cdf82db312e0714d020342d5836167826a7a6b9670

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

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.122493Z digest=sha256:14b4e28e1aeffb1be0d3f16e8a71f80e9247d9e880e59ffc311264306931de9f

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.125422Z digest=sha256:5cb522027e663610c7c42a945d7fba25bfbbe66e98382fa9a0049cbb8d66be3f

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.129707Z digest=sha256:0c6f144573bdc4cbc76b8287fc25b52378fe80dcb741f3459e5baae4ebb847a6

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.138541Z digest=sha256:7e697dbe1f7cf4765dca9c51e91af04c7ade0048d92f0da857e55286299de1ae

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.142130Z digest=sha256:adab9ecff459fb5486972935caf91c09172323ffc4e441fdcd2ff4e37e0332ce

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.145101Z digest=sha256:d09ef2e3561c4201bf2a60a723d2773997e93e1d282e9a6c55649bfe01d86653

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.148816Z digest=sha256:08c83bd2188567808b601be04f573b0d814ec207ba3386c76ea1766587d709ac

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.152952Z digest=sha256:df0e2c4c90dcdfd7eacc1da9d409bcb1f826c5c2584afaca49f25dc73e0117b9

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.155503Z digest=sha256:b42f9645ebd6b60a37e71244fcf47d7efcec1a302dd6887ce1eba119493a04d6

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.159125Z digest=sha256:b45ddd65975ecd504fa35beb441c070da84f1ee6afa4e174d1ec7dc8d22077ae

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.163343Z digest=sha256:0047ddcc86ecf3d34bcdfcfd7cfcff8b3815f7cfa796e78702b6620d0aa23a3a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.166282Z digest=sha256:01a3dc4917326f8f716d5849fa11c66fc21e897a9a532400a0e3183fac656be3

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.170526Z digest=sha256:11fa087cdee8113cb110e1c0c0bffefcb820c621799ddc4d39b53e6777259e5a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.173958Z digest=sha256:ae832d7a60e7d681fcb80381243b0cf2a8ae7d953f974dea66c5814aa72b96c6

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.176315Z digest=sha256:c3a26e8aa2810d306494ae2ddae902d45d0d530863a73d301c3bc3d5291403af

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.180515Z digest=sha256:efb96c9c2486e8e222fd1d34ce4f74be7fa183ef2531b95081c9124fd9d60a55

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:a3884187ca635fcf2dc87b270096db441839eeb15feff92c84705481da3f75d4

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.189036Z digest=sha256:09a2edee2bbef78166c6d8ecf6fd7ef9936bd4eb8b5b72613ecfb0caec5df2bf

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:b498ac4f2ffc0128897485a51e62822a9621e3dcde983d8a0c8cb0febfef9cbb

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T21:11:16.195202Z digest=sha256:5b95b14235c7c3f7f43c8c8db3dd124311184820502f622547d1b09a22a22e59

Pith citing papers

No inbound Pith citation observations are available.