Paper Citation Record · LEDGER

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection

As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2505.23317.

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

pith.paper-citation-record.v1
2505.23317 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:54:27.486412Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy19
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 02738650-e44a-4271-8de8-afcc9efa2e0a · outbound

This paper cites Detrs beat yolos on real-time object detection,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection Detrs beat yolos on real-time object detection,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:30.963725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bf265133-6a6e-49c8-8bec-3b6e07638fde · outbound

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

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:54:24.986083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b83e900-9a60-4fe2-82af-a280395aad8a · outbound

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

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection End-to-end object detection with transformers,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:54:25.093871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de7991f2-0825-462f-a74a-f2c8d3687e14 · outbound

This paper cites A-vit: Adaptive tokens for efficient vision transformer,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection A-vit: Adaptive tokens for efficient vision transformer,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:30.751787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ee146d9f-2bae-483c-9614-8f128a2af050 · outbound

This paper cites Token Merging: Your ViT But Faster.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection Token Merging: Your ViT But Faster

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:54:25.315325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65663810-9282-4d50-b9bc-4ed3ae922e90 · outbound

This paper cites RT-MOT: Confidence-aware real-time scheduling framework for multi-object tracking tasks,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection RT-MOT: Confidence-aware real-time scheduling framework for multi-object tracking tasks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:30.564311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d1a65094-451e-4bf0-ba45-a9bb578ae070 · outbound

This paper cites DNN-SAM: Split-and-merge dnn execution for real-time object detection,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection DNN-SAM: Split-and-merge dnn execution for real-time object detection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:30.410475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b460eefd-e053-422a-b6a7-2e09df22b368 · outbound

This paper cites Real-time scheduling for multi-object tracking tasks in regions with different criticalities,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection Real-time scheduling for multi-object tracking tasks in regions with different criticalities,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:30.276686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 603e9e69-6b73-493c-88ce-c598ba29ec98 · outbound

This paper cites Self-cueing real-time attention scheduling in criticality-aware visual machine perception,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection Self-cueing real-time attention scheduling in criticality-aware visual machine perception,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:30.140510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4b1ce429-034d-46fe-b755-041afffed254 · outbound

This paper cites Sˆ3DNN: Supervised streaming and scheduling for GPU-accelerated real-time DNN workloads,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection Sˆ3DNN: Supervised streaming and scheduling for GPU-accelerated real-time DNN workloads,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:29.994682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f1c36510-8d53-4df9-b840-58abf77443b4 · outbound

This paper cites Pipelined data-parallel CPU/GPU scheduling for multi-DNN real-time inference,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection Pipelined data-parallel CPU/GPU scheduling for multi-DNN real-time inference,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:29.884049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 619dbb22-21fc-4105-969b-538df77c2522 · outbound

This paper cites R-TOD: Real- time object detector with minimized end-to-end delay for autonomous driving,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection R-TOD: Real- time object detector with minimized end-to-end delay for autonomous driving,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:29.720101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8590f76e-1dbe-4005-8038-a2f032f1a77c · outbound

This paper cites Cf-vit: A general coarse-to-fine method for vision transformer,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection Cf-vit: A general coarse-to-fine method for vision transformer,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:29.606415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation acf0cda8-2e4c-44ad-9d1d-3f9503fd3325 · outbound

This paper cites You only look once: Unified, real-time object detection,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection You only look once: Unified, real-time object detection,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:54:26.350094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f9b1fbe-d787-4675-8f46-2a22cfb4a16e · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:54:26.403146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca0a4e98-8634-422f-8632-de11e59c967f · outbound

This paper cites Are we ready for autonomous driv- ing? the kitti vision benchmark suite,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection Are we ready for autonomous driv- ing? the kitti vision benchmark suite,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:29.399961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bc89d9db-5be6-4a8e-99c2-568c04934af4 · outbound

This paper cites [Online].

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection [Online]

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:29.219736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d4622279-036c-499c-895a-4c9ad287d17c · outbound

This paper cites Batch-MOT: Batch-enabled real-time scheduling for multi-object tracking tasks,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection Batch-MOT: Batch-enabled real-time scheduling for multi-object tracking tasks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:29.035356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cf66d6e6-3439-4214-8f6e-261a8a0d7eb2 · outbound

This paper cites Effective analysis for engineer- ing real-time fixed priority schedulers,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection Effective analysis for engineer- ing real-time fixed priority schedulers,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:28.852363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a07e47c0-93bd-4aaa-8374-f6c2b27139f1 · outbound

This paper cites Feasibility analysis under fixed priority scheduling with fixed preemption points,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection Feasibility analysis under fixed priority scheduling with fixed preemption points,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:28.670028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c94d39df-4118-4ae0-a0ae-b9d28c746cbd · outbound

This paper cites Non-preemptive and limited preemptive scheduling,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection Non-preemptive and limited preemptive scheduling,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:28.463078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2dc5391b-416e-4b0a-b8b7-a758ee4e3356 · outbound

This paper cites Preemptive and non-preemptive real-time uniprocessor scheduling,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection Preemptive and non-preemptive real-time uniprocessor scheduling,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:28.222685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6c91fde1-ddb9-48a8-9ad6-55c3ec4e341c · outbound

This paper cites Deep residual learning for image recognition,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection Deep residual learning for image recognition,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:54:27.066931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2215116-9f98-4347-bb60-9d4d36318453 · outbound

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

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection Microsoft coco: Common objects in context,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:54:27.197583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d45b0a81-8f61-43b2-9d58-1b045ff34e24 · outbound

This paper cites The rate monotonic scheduling algorithm: Exact characterization and average case behavior,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection The rate monotonic scheduling algorithm: Exact characterization and average case behavior,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:28.009896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 156a6fbf-6c06-49b4-b521-2fed677ce1a0 · outbound

This paper cites Scheduling algorithms for multiprogram- ming in a hard-real-time environment,.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection Scheduling algorithms for multiprogram- ming in a hard-real-time environment,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:54:27.831772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3d87d2ed-8a8b-4d4d-9207-1258cbd99d28 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:54:27.486412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.