Paper Citation Record · LEDGER

Revisiting Feature Alignment for One-stage Object Detection

As of 23 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:1908.01570.

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

pith.paper-citation-record.v1
1908.01570 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:14:45.621979Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

30 of 30 outbound references displayed

verified exact1
verified fuzzy14
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22701e9e-5560-408f-a824-f435c8a0430d · outbound

This paper cites Cascade R-CNN: Delving into high quality object detection.

Revisiting Feature Alignment for One-stage Object Detection Cascade R-CNN: Delving into high quality object detection

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:14:46.160041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ba3e5f09-7f5b-4528-a982-10e7ae64a3bd · outbound

This paper cites Flexible, high performance convolutional neural networks for image classiﬁcation.

Revisiting Feature Alignment for One-stage Object Detection Flexible, high performance convolutional neural networks for image classiﬁcation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:14:46.144969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 32fa0b3d-e660-44c2-8953-387bf1f413ba · outbound

This paper cites R-FCN: Object detection via region-based fully convolutional networks.

Revisiting Feature Alignment for One-stage Object Detection R-FCN: Object detection via region-based fully convolutional networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:14:46.131108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1640e60c-b3d5-41ef-8983-2134ec4ff59b · outbound

This paper cites Deformable convolutional networks.

Revisiting Feature Alignment for One-stage Object Detection Deformable convolutional networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T15:14:45.477475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd367861-05c6-4c58-bd84-48a67576e6e9 · outbound

This paper cites CenterNet: Keypoint Triplets for Object Detection.

Revisiting Feature Alignment for One-stage Object Detection CenterNet: Keypoint Triplets for Object Detection

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T15:14:45.482549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69c41ab7-f191-48cd-b1d2-aa553eaf6a4c · outbound

This paper cites DSSD : Deconvolutional Single Shot Detector.

Revisiting Feature Alignment for One-stage Object Detection DSSD : Deconvolutional Single Shot Detector

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T15:14:45.487529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e242222-e7c7-43e7-8a72-41c14b1da656 · outbound

This paper cites Fast R-CNN.

Revisiting Feature Alignment for One-stage Object Detection Fast R-CNN

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T15:14:45.494229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59571b02-b3b7-4911-8a4a-9282d01eb6b8 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.

Revisiting Feature Alignment for One-stage Object Detection Rich feature hierarchies for accurate object detection and semantic segmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T15:14:45.502225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6830caa-61d6-478b-8d6a-4312a420d82e · outbound

This paper cites Mask R-CNN.

Revisiting Feature Alignment for One-stage Object Detection Mask R-CNN

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:14:46.087749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f7bcdbd8-4c07-4b9f-8475-3ee9f373a400 · outbound

This paper cites Delving deep into rectiﬁers: Surpassing human-level performance on imagenet classiﬁcation.

Revisiting Feature Alignment for One-stage Object Detection Delving deep into rectiﬁers: Surpassing human-level performance on imagenet classiﬁcation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T15:14:45.512912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72bbf475-ba44-45d0-b91d-157e425feeae · outbound

This paper cites Spatial pyramid pooling in deep convolutional networks for visual recognition.

Revisiting Feature Alignment for One-stage Object Detection Spatial pyramid pooling in deep convolutional networks for visual recognition

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T15:14:45.518852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b89beffe-da67-4d4a-9d7d-83982f603055 · outbound

This paper cites DenseBox: Unifying Landmark Localization with End to End Object Detection.

Revisiting Feature Alignment for One-stage Object Detection DenseBox: Unifying Landmark Localization with End to End Object Detection

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T15:14:45.524169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acf87174-1768-4ce3-9cb4-06ac4f15ac6b · outbound

This paper cites FoveaBox: Beyond Anchor-based Object Detector.

Revisiting Feature Alignment for One-stage Object Detection FoveaBox: Beyond Anchor-based Object Detector

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T15:14:45.529730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01379461-6e01-4626-88a5-edaea98ae6ac · outbound

This paper cites CornerNet: Detecting objects as paired keypoints.

Revisiting Feature Alignment for One-stage Object Detection CornerNet: Detecting objects as paired keypoints

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:14:46.045328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e5a1aef2-8bd5-4feb-a458-f88e27e24511 · outbound

This paper cites Feature pyramid networks for object detection.

Revisiting Feature Alignment for One-stage Object Detection Feature pyramid networks for object detection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:14:46.029315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 29b51034-7113-4699-a93b-6c7ab54eb8b8 · outbound

This paper cites Focal loss for dense object detection.

Revisiting Feature Alignment for One-stage Object Detection Focal loss for dense object detection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T15:14:45.543260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef544e5a-5e82-43c9-81a8-860e4b7808a3 · outbound

This paper cites Microsoft COCO: Common objects in context.

Revisiting Feature Alignment for One-stage Object Detection Microsoft COCO: Common objects in context

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T15:14:45.549073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 516e33e1-e909-4e4a-a35d-643e61416de5 · outbound

This paper cites SSD: Single shot multibox detector.

Revisiting Feature Alignment for One-stage Object Detection SSD: Single shot multibox detector

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T15:14:45.553024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7f9410e-e63b-4f3f-ac48-f422f980d47f · outbound

This paper cites You only look once: Uniﬁed, real-time object detection.

Revisiting Feature Alignment for One-stage Object Detection You only look once: Uniﬁed, real-time object detection

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:14:45.966966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8ef9477f-2e5a-4106-abec-f0fcdbf00309 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Revisiting Feature Alignment for One-stage Object Detection YOLOv3: An Incremental Improvement

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T15:14:45.563901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b01df4b-6927-4455-845b-ba78d9632187 · outbound

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

Revisiting Feature Alignment for One-stage Object Detection Faster R-CNN: Towards real-time object detection with region proposal networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:14:45.950836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e46897a4-617d-459f-a73f-f3579ceeea9e · outbound

This paper cites Berg, and Li Fei-Fei.

Revisiting Feature Alignment for One-stage Object Detection Berg, and Li Fei-Fei

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:14:45.929387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f557f397-72ad-4450-b9c4-2adfb7f1402f · outbound

This paper cites FCOS: Fully Convolutional One-Stage Object Detection.

Revisiting Feature Alignment for One-stage Object Detection FCOS: Fully Convolutional One-Stage Object Detection

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T15:14:45.579894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6ad69c1-fbef-4e9e-8c3a-a2d08e110116 · outbound

This paper cites Region proposal by guided anchoring.

Revisiting Feature Alignment for One-stage Object Detection Region proposal by guided anchoring

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:14:45.911994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f63b3bf6-f2c3-49a4-9255-28645c34d16d · outbound

This paper cites MetaAnchor: Learning to detect objects with customized anchors.

Revisiting Feature Alignment for One-stage Object Detection MetaAnchor: Learning to detect objects with customized anchors

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:14:45.893353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6699c5eb-ddf8-4b58-854e-6d592e3831d9 · outbound

This paper cites RepPoints: Point Set Representation for Object Detection.

Revisiting Feature Alignment for One-stage Object Detection RepPoints: Point Set Representation for Object Detection

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:14:45.698723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c750b426-a5b3-4eed-973e-807f44a7cec3 · outbound

This paper cites Single-shot reﬁnement neural network for object detection.

Revisiting Feature Alignment for One-stage Object Detection Single-shot reﬁnement neural network for object detection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:14:45.873103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0cd1988d-22ce-4e22-88f6-e535975fe2b4 · outbound

This paper cites Objects as Points.

Revisiting Feature Alignment for One-stage Object Detection Objects as Points

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T15:14:45.607495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ba10312-c7b4-4777-80e0-3800cff558bd · outbound

This paper cites Bottom-up object detection by grouping extreme and center points.

Revisiting Feature Alignment for One-stage Object Detection Bottom-up object detection by grouping extreme and center points

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:14:45.853158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 211b83c5-1390-41f3-9c5d-9de3a79ca5f3 · outbound

This paper cites Feature selective anchor-free module for single-shot object detection.

Revisiting Feature Alignment for One-stage Object Detection Feature selective anchor-free module for single-shot object detection

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:14:45.835563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.