Paper Citation Record · LEDGER

DAMO-YOLO : A Report on Real-Time Object Detection Design

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2211.15444.

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

pith.paper-citation-record.v1
2211.15444 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:26:01.178489Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:06:30.188026Z

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 df336d37-a67e-485c-91d6-4818765ece74 · inbound

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes cites this paper.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes DAMO-YOLO : A Report on Real-Time Object Detection Design

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T23:26:01.178489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf9a71c9-23ae-4925-8ffb-028af0cef2bd · inbound

MHAF-YOLO: Multi-Branch Heterogeneous Auxiliary Fusion YOLO for accurate object detection cites this paper.

MHAF-YOLO: Multi-Branch Heterogeneous Auxiliary Fusion YOLO for accurate object detection DAMO-YOLO : A Report on Real-Time Object Detection Design

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T22:02:52.294697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfa0e49f-7abb-4cd7-8ced-65ba6b700784 · inbound

A Coarse-to-Fine Human Pose Estimation Method based on Two-stage Distillation and Progressive Graph Neural Network cites this paper.

A Coarse-to-Fine Human Pose Estimation Method based on Two-stage Distillation and Progressive Graph Neural Network DAMO-YOLO : A Report on Real-Time Object Detection Design

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T20:08:46.405603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00e509ed-9b47-4371-8262-5d294ca64828 · inbound

SFFNet: Synergistic Feature Fusion Network With Dual-Domain Edge Enhancement for UAV Image Object Detection cites this paper.

SFFNet: Synergistic Feature Fusion Network With Dual-Domain Edge Enhancement for UAV Image Object Detection DAMO-YOLO : A Report on Real-Time Object Detection Design

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:53:15.902895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1f19dfa0-3253-49e5-a817-c04361ba27dd · inbound

YOLOv11 Demystified: A Practical Guide to High-Performance Object Detection cites this paper.

YOLOv11 Demystified: A Practical Guide to High-Performance Object Detection DAMO-YOLO : A Report on Real-Time Object Detection Design

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:33:16.799951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3c33a085-8449-4bca-bd7d-1acdb05e9953 · inbound

Structure-Guided Mixed Masked Pretraining and Spatial Continuity Regularization for Printed Circuit Board Defect Detection cites this paper.

Structure-Guided Mixed Masked Pretraining and Spatial Continuity Regularization for Printed Circuit Board Defect Detection DAMO-YOLO : A Report on Real-Time Object Detection Design

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:06:30.193010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.