Paper Citation Record · LEDGER

Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2211.13523.

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

pith.paper-citation-record.v1
2211.13523 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:09:26.960152Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:16:28.634931Z

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 797cbdad-b4bb-49d0-be00-717df547ac07 · inbound

YOLOv11 Optimization for Efficient Resource Utilization cites this paper.

YOLOv11 Optimization for Efficient Resource Utilization Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T11:58:49.579010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a263a695-870e-40b6-b1bf-eaccf80f9beb · inbound

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns cites this paper.

Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T11:59:08.343930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ca72dd4-2b4f-4434-aa5d-5921548e506c · inbound

Deep learning framework for crater detection and identification on the Moon and Mars cites this paper.

Deep learning framework for crater detection and identification on the Moon and Mars Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T01:08:52.858869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 767fe1b2-c929-44e7-b3bd-693441898341 · inbound

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA cites this paper.

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T14:04:27.308436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db69078b-e24d-4294-8e0f-1c14e4fc95c1 · inbound

A Structured Review of Underwater Object Detection Challenges and Solutions: From Traditional to Large Vision Language Models cites this paper.

A Structured Review of Underwater Object Detection Challenges and Solutions: From Traditional to Large Vision Language Models Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T16:09:26.960152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5d58502-c0a4-44b7-9eb9-ec789780b852 · inbound

DETR-ViP: Detection Transformer with Robust Discriminative Visual Prompts cites this paper.

DETR-ViP: Detection Transformer with Robust Discriminative Visual Prompts Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:10:21.938691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 218689fb-16a0-4e2e-8e4c-ba50ba95f76e · inbound

DETR-ViP: Detection Transformer with Robust Discriminative Visual Prompts cites this paper.

DETR-ViP: Detection Transformer with Robust Discriminative Visual Prompts Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T20:05:20.702092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 420095c7-b54c-4dbf-a690-692a58ec2005 · inbound

Auto-FlexSwitch: Efficient Dynamic Model Merging via Learnable Task Vector Compression cites this paper.

Auto-FlexSwitch: Efficient Dynamic Model Merging via Learnable Task Vector Compression Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:16:28.636702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.