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Paper Citation Record · LEDGER

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection

As of 22 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:1908.03295.

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

pith.paper-citation-record.v1
1908.03295 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:22:20.155171Z

measured 40 of 40 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

40 of 40 outbound references displayed

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  • verified fuzzy21
  • unresolved19
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 72f0a840-d85a-4877-8808-f8a15cfc2f63 · outbound

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

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Rich feature hierarchies for accurate object detection and semantic segmentation

Reference 1

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Observation 68fb6b41-ffa7-4668-a76f-655679dc6b10 · outbound

This paper cites Girshick.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Girshick

Reference 2

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Observation 2fec60a7-3feb-495f-924e-57185c82b97b · outbound

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

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Faster R-CNN: towards real-time object detection with region proposal networks

Reference 3

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Observation 6cff5bd6-2953-42a6-8ded-e97603ee5a7e · outbound

This paper cites Feature pyramid networks for object detection.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Feature pyramid networks for object detection

Reference 4

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Observation e07ff5a6-a93b-46b7-b73d-114ccc1d6fdb · outbound

This paper cites Mask R-cnn.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Mask R-cnn

Reference 5

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Observation 2b5db718-728f-4d2e-8e93-89cd6fe3e549 · outbound

This paper cites RON: Reverse connection with objectness prior networks for object detection.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection RON: Reverse connection with objectness prior networks for object detection

Reference 6

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Observation e44a6423-1d25-49f9-8fc3-3b98811d4572 · outbound

This paper cites Focal loss for dense object detection.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Focal loss for dense object detection

Reference 7

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Observation c1f646ae-2fad-4877-9d41-089fe081e590 · outbound

This paper cites an unresolved cited work.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Unresolved cited work

Reference 8

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Observation 7455daab-edf9-4dd8-85b8-662e2adbc15d · outbound

This paper cites Selective Refinement Network for High Performance Face Detection.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Selective Refinement Network for High Performance Face Detection

Reference 9

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Observation c9ff2197-d9b3-48d8-bc84-e2a3308e54b8 · outbound

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

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection U-net: Convolutional networks for biomedical image segmentation

Reference 10

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Observation 1ad0c2c5-6bb1-406b-933c-381280d67606 · outbound

This paper cites Microsoft COCO: Common objects in context.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Microsoft COCO: Common objects in context

Reference 11

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Observation 7d8b0434-e909-477c-94a8-21015e8a35c7 · outbound

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

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Spatial pyramid pooling in deep convolutional networks for visual recognition

Reference 12

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Observation f5a4144a-dac6-4dbe-9fd0-53f3554cac40 · outbound

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

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection R-FCN: Object detection via region-based fully convolutional networks

Reference 13

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Observation 6867e0b8-d1ac-4b3e-80c0-493cc06744c4 · outbound

This paper cites Deformable convolutional networks.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Deformable convolutional networks

Reference 14

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Observation 3359a3f8-3d3c-4418-abd5-26da4d4d1993 · outbound

This paper cites Uijlings, K.E.A.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Uijlings, K.E.A

Reference 15

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Observation c7fd1d04-f306-4d89-b39e-81ec9bba7459 · outbound

This paper cites an unresolved cited work.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Unresolved cited work

Reference 16

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Observation 1e854750-c893-46b3-bace-e78ee61c4086 · outbound

This paper cites Deep residual learning for image recognition.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Deep residual learning for image recognition

Reference 17

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Observation 121b7a43-5b9a-4e11-9783-308bdf24da75 · outbound

This paper cites Aggregated Residual Transformations for Deep Neural Networks.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Aggregated Residual Transformations for Deep Neural Networks

Reference 18

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Observation 04f823ad-062a-4e96-a5d7-c36fea2dd560 · outbound

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

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection You only look once: Unified, real-time object detection

Reference 19

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Observation 1f5cd5e0-6ee7-4379-b8e7-2f29531775a9 · outbound

This paper cites Redmon and A.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Redmon and A

Reference 20

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Observation 2635fe2a-d898-447c-a773-d2646fbdf6e6 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Batch normalization: Accelerating deep network training by reducing internal covariate shift

Reference 21

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Observation 6e1bbded-9210-4b96-a26c-18ce58f44bb1 · outbound

This paper cites an unresolved cited work.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Unresolved cited work

Reference 22

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Observation f7bee745-19c6-428d-996b-f9ec76355596 · outbound

This paper cites Receptive field block net for accurate and fast object detection.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Receptive field block net for accurate and fast object detection

Reference 23

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Observation 8bd339f9-fc1e-4f50-8ff4-178d10e9a592 · outbound

This paper cites Rapid object detection using a boosted cascade of simple features.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Rapid object detection using a boosted cascade of simple features

Reference 24

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Observation e8b9aa8c-5f12-47f5-835b-1b39004e8213 · outbound

This paper cites Object detection via a multi-region and semantic segmentation-aware cnn model.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Object detection via a multi-region and semantic segmentation-aware cnn model

Reference 25

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Observation c38bcfff-5268-46b3-a8c4-870fca00ba6b · outbound

This paper cites Cascade r-cnn: Delving into high quality object detection.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Cascade r-cnn: Delving into high quality object detection

Reference 26

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Observation 1cd88a22-dd54-42b7-942a-e417c61b55f8 · outbound

This paper cites Revisiting rcnn: On awakening the classification power of faster rcnn.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Revisiting rcnn: On awakening the classification power of faster rcnn

Reference 27

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Observation c291d968-1e62-42c9-bef0-6c171ff6cce5 · outbound

This paper cites Region Proposal by Guided Anchoring.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Region Proposal by Guided Anchoring

Reference 28

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Observation e0b311b1-a46a-44e9-96fb-37cc78026f48 · outbound

This paper cites Large kernel matters– improve semantic segmentation by global convolutional network.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Large kernel matters– improve semantic segmentation by global convolutional network

Reference 29

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e17a5324-c458-4a2f-8418-bf1821f83cde · outbound

This paper cites Exfuse: Enhancing feature fusion for semantic segmentation.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Exfuse: Enhancing feature fusion for semantic segmentation

Reference 30

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Observation 6900434f-6ec1-4146-88b4-a1511d7ba75b · outbound

This paper cites A simple pooling-based design for real-time salient object detection.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection A simple pooling-based design for real-time salient object detection

Reference 31

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Observation 18878ea3-3e4e-4b6a-b7ba-695ef076c012 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Very deep convolutional networks for large-scale image recognition

Reference 32

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Observation 6b013b83-309a-4d37-9142-05945c704c15 · outbound

This paper cites Deep sparse rectifier neural networks.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Deep sparse rectifier neural networks

Reference 33

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 51b8eff0-81db-44a2-a410-947a117338ad · outbound

This paper cites Deformable convnets v2: More deformable, better results.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Deformable convnets v2: More deformable, better results

Reference 34

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d78a6a78-7329-4e28-829c-bbcb5c02c516 · outbound

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

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Delving deep into rectifiers: Surpassing human-level performance on imagenet classification

Reference 35

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source=pdf_text observed=2026-08-14T14:22:20.136170Z digest=sha256:b08cd9ee1a87114260bdc68f1579ecc2d5e20dc92ca2a03108c69e70cbfb5dde

Observation f1f78a9f-99d9-4b9e-b337-95473d2fb12e · outbound

This paper cites Soft-nms–improving object detection with one line of code.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Soft-nms–improving object detection with one line of code

Reference 36

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raw_fallback, observed 2026-08-14T14:22:20.259108Z

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=pdf_text observed=2026-08-14T14:22:20.140170Z digest=sha256:39fae3e7b261d808272d7906f1b103af835e3f6b68220751188b6d6f9a40f3d9

Observation babcceda-e77e-4ab0-bb99-4da324f50d3e · outbound

This paper cites DSSD : Deconvolutional Single Shot Detector.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection DSSD : Deconvolutional Single Shot Detector

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-14T14:22:20.143912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:22:20.143912Z digest=sha256:35c651e22c1b43c7cde73c1e31a6685e614044d4b30e8744ace94895cd5f8c05

Observation 4143a5a1-fe60-45c4-b0bb-ce52461f4542 · outbound

This paper cites Parallel feature pyramid network for object detection.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Parallel feature pyramid network for object detection

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:22:20.247250Z

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=pdf_text observed=2026-08-14T14:22:20.148074Z digest=sha256:c094e3c36b0c5bdd7f56886edaa09aef22a0004ec5becb21e39f013f2e0735d7

Observation 06027d47-d6f4-4631-b0bc-23c04171271b · outbound

This paper cites Cornernet: Detecting objects as paired keypoints.

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Cornernet: Detecting objects as paired keypoints

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-14T14:22:20.151613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:22:20.151613Z digest=sha256:4f6d25b6ba95238772c30c6695a8151b02b1a4d917a71c18afc524c0ed39ce1a

Observation 66afc443-3142-4987-a08a-0bb3187be677 · outbound

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

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection Feature selective anchor-free module for single-shot object detection

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:22:20.229002Z

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=pdf_text observed=2026-08-14T14:22:20.155171Z digest=sha256:67b1428427cdd9b75cf9032fd226bb321aa874ba1a5d8b391f71a5b493f64068

Pith citing papers

No inbound Pith citation observations are available.