Paper Citation Record · LEDGER

SIoU Loss: More Powerful Learning for Bounding Box Regression

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2205.12740.

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

pith.paper-citation-record.v1
2205.12740 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:52.661484Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:57:23.250455Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d4ca49a7-2882-4a0f-8126-a712af0d57ce · inbound

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling cites this paper.

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling SIoU Loss: More Powerful Learning for Bounding Box Regression

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:52.661484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fd1a18a-0a9c-49d7-b225-7c69de0ebcc5 · inbound

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO cites this paper.

VR-YOLO: Enhancing PCB Defect Detection with Viewpoint Robustness Based on YOLO SIoU Loss: More Powerful Learning for Bounding Box Regression

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:50.240531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0510ac9a-fd24-4c64-919f-777ecdaefbad · inbound

Towards Continuous Home Cage Monitoring: An Evaluation of Tracking and Identification Strategies for Laboratory Mice cites this paper.

Towards Continuous Home Cage Monitoring: An Evaluation of Tracking and Identification Strategies for Laboratory Mice SIoU Loss: More Powerful Learning for Bounding Box Regression

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:35.781786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd5a098a-453f-4bf9-bb1d-dbcbecd65ad2 · inbound

An Uncertainty-aware DETR Enhancement Framework for Object Detection cites this paper.

An Uncertainty-aware DETR Enhancement Framework for Object Detection SIoU Loss: More Powerful Learning for Bounding Box Regression

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:54:07.565900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 903e82d3-1963-411a-bdf9-0fd72d47f791 · inbound

RT-VLM: Re-Thinking Vision Language Model with 4-Clues for Real-World Object Recognition Robustness cites this paper.

RT-VLM: Re-Thinking Vision Language Model with 4-Clues for Real-World Object Recognition Robustness SIoU Loss: More Powerful Learning for Bounding Box Regression

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T12:57:49.961961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7e007f2-03b2-4a2a-95be-8b2fd7820311 · inbound

GateMOT: Q-Gated Attention for Dense Object Tracking cites this paper.

GateMOT: Q-Gated Attention for Dense Object Tracking SIoU Loss: More Powerful Learning for Bounding Box Regression

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:46:25.001948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8acaf643-d743-4421-8401-19e7ef39491d · inbound

Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline cites this paper.

Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline SIoU Loss: More Powerful Learning for Bounding Box Regression

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:57:23.251762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a9f037dc-066a-4ed6-8f47-40540d7f5c77 · inbound

An Intelligent-Cloud Edge Multimodal Interaction System for Robots cites this paper.

An Intelligent-Cloud Edge Multimodal Interaction System for Robots SIoU Loss: More Powerful Learning for Bounding Box Regression

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T01:27:57.440376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce40e628-9bd6-43e0-8f25-30839a48e03d · inbound

YOLOv14:Unified Cross-Domain Real-Time Object Detectionwith Adaptive Multi-View Representation cites this paper.

YOLOv14:Unified Cross-Domain Real-Time Object Detectionwith Adaptive Multi-View Representation SIoU Loss: More Powerful Learning for Bounding Box Regression

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:13.986457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.