Paper Citation Record · LEDGER

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments

As of 7 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2507.12396.

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

pith.paper-citation-record.v1
2507.12396 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:49:33.840564Z

measured 30 of 30 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 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

30 of 30 outbound references displayed

verified exact0
verified fuzzy18
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b60af7f3-47a5-4002-ace8-72e4ef899a47 · outbound

This paper cites Anchor- free oriented proposal generator for object detection,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments Anchor- free oriented proposal generator for object detection,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:39.034938Z

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 0b88bf0e-3ffc-4f36-ad97-96ae7b554d1c · outbound

This paper cites Diffusiondet: Diffusion model for object detection,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments Diffusiondet: Diffusion model for object detection,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:38.782800Z

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 25663544-8641-4574-9801-472e8ae244a6 · outbound

This paper cites Rank-detr for high quality object detection,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments Rank-detr for high quality object detection,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:38.509218Z

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 307f955d-f1b9-40a8-bb3b-763b17e1cce7 · outbound

This paper cites A fast accurate fine-grain object detection model based on yolov4 deep neural network,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments A fast accurate fine-grain object detection model based on yolov4 deep neural network,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:38.222402Z

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 9780782d-f60a-479a-ab97-09d6b238769f · outbound

This paper cites A dual weighting label assign- ment scheme for object detection,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments A dual weighting label assign- ment scheme for object detection,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:37.958806Z

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 e12eb0ff-e939-4dd7-8dae-e02ba24697e6 · outbound

This paper cites YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:30.833003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76e507f2-8fec-4b30-9b56-18434c2142a8 · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:37.662458Z

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 be55275b-dd34-4401-9f5a-eab227ff66c9 · outbound

This paper cites Exploring plain vision transformer backbones for object detection,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments Exploring plain vision transformer backbones for object detection,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:31.137353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b3a012e-9006-42af-94a2-7140f3922ea6 · outbound

This paper cites Microsoft coco: Common objects in context,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments Microsoft coco: Common objects in context,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:31.259097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42ab3044-e89a-4690-9945-cf507c109a6e · outbound

This paper cites The pascal visual object classes (voc) challenge,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments The pascal visual object classes (voc) challenge,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:37.370956Z

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 43df5c01-28f1-4bdb-8684-b345f0593217 · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments Bdd100k: A diverse driving dataset for heterogeneous multitask learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:37.105807Z

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 2efd8fc7-dec1-4a48-9ae0-b4730ad8f4d8 · outbound

This paper cites Visual object classes chal- lenge 2012,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments Visual object classes chal- lenge 2012,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:36.861320Z

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 ea0ce298-91a0-4a2c-875d-ddb16831c392 · outbound

This paper cites Coco: Microsoft common objects in context,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments Coco: Microsoft common objects in context,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:36.602329Z

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 b1fa7f64-575a-4091-85da-e6632c943d25 · outbound

This paper cites Objects365: A large-scale, high-quality dataset for object detection,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments Objects365: A large-scale, high-quality dataset for object detection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:36.280652Z

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 78153f50-a2fd-4401-a974-b787c90b0961 · outbound

This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:31.873960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a81af21d-92c0-4673-a865-1ea1ef0bfda7 · outbound

This paper cites Detection and tracking meet drones challenge,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments Detection and tracking meet drones challenge,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:35.942612Z

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 1c0752b1-e6f1-4891-8be2-899340005d7e · outbound

This paper cites V3det: Vast vocabulary visual detection dataset,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments V3det: Vast vocabulary visual detection dataset,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:35.579377Z

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 23f2a0ae-22af-4da9-a25a-c9163b983c2c · outbound

This paper cites A large-scale benchmark dataset for event recognition in surveillance video,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments A large-scale benchmark dataset for event recognition in surveillance video,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:35.261844Z

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 03b8ad3d-a637-4828-aeb2-69f3d9911248 · outbound

This paper cites RTMDet: An Empirical Study of Designing Real-Time Object Detectors.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:32.782580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 758940d7-2942-41cb-9ea5-069cadd117eb · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments YOLOX: Exceeding YOLO Series in 2021

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:32.894940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6054b209-f0d5-45c6-98ec-549a2ffe3dbc · outbound

This paper cites Focal loss for dense object detection,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments Focal loss for dense object detection,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:32.935338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 128f5253-ff29-44fc-a020-60212f619c33 · outbound

This paper cites End-to-end object detection with transformers,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments End-to-end object detection with transformers,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:33.055455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe218723-ffe7-4c92-afd8-13ef747e7b89 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:33.169828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20a5fa0c-d136-4103-a0e6-1cf669d3bfc3 · outbound

This paper cites Cspnext: A new efficient token hybrid backbone,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments Cspnext: A new efficient token hybrid backbone,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:34.692250Z

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 5a27972d-7f3e-4319-bd61-da57fa6fe2a0 · outbound

This paper cites Feature pyramid networks for object detection,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments Feature pyramid networks for object detection,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:34.487277Z

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 b42bd65f-fc3f-4d94-bd7b-446ef970c8b2 · outbound

This paper cites Cspnet: A new backbone that can enhance learning capability of cnn,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments Cspnet: A new backbone that can enhance learning capability of cnn,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:34.231354Z

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 f3c177fd-59d7-4935-a70e-8a83bea09792 · outbound

This paper cites Deep residual learning for image recognition,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments Deep residual learning for image recognition,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:33.600141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ae88e1f-e845-4a22-8f52-46476ac94550 · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:33.683954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c97bd52-9e58-40eb-8fab-93af11cbeafa · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T16:49:33.840564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 838d81a4-3104-4fd1-85d0-e872c56858f2 · outbound

This paper cites 3153–3160.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments 3153–3160

Reference 2011

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:34.960586Z

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.

Pith citing papers

No inbound Pith citation observations are available.