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Paper Citation Record · LEDGER

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1911.08287.

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

pith.paper-citation-record.v1
1911.08287 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:00:12.605152Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:26:02.788831Z

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 8eb1db1e-ec94-4f7a-a896-fac747f2021a · inbound

YOLOv8-SMOT: An Efficient and Robust Framework for Real-Time Small Object Tracking via Slice-Assisted Training and Adaptive Association cites this paper.

YOLOv8-SMOT: An Efficient and Robust Framework for Real-Time Small Object Tracking via Slice-Assisted Training and Adaptive Association Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T17:00:12.605152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:00:12.605152Z digest=sha256:1a4fc826f183f14b11e73685481a737c6bff724cbf834fc77881e769e52a7716

Observation 422c53a2-29a5-49cf-ae0f-06ec7997eb98 · inbound

DroneScan-YOLO: Redundancy-Aware Lightweight Detection for Tiny Objects in UAV Imagery cites this paper.

DroneScan-YOLO: Redundancy-Aware Lightweight Detection for Tiny Objects in UAV Imagery Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:26:02.798142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:00:56.890985Z digest=sha256:7146107e7783442dfaeae5cb34638f6eccbfa4c6809883138cf5208eba3e6f77