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Paper Citation Record · LEDGER

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2509.08421.

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

pith.paper-citation-record.v1
2509.08421 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:44:15.209246Z

measured 25 of 25 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 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

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e542d37a-e1a8-4785-b1d0-8ca2cf64f691 · outbound

This paper cites Simple online and realtime tracking.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Simple online and realtime tracking

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-04T20:44:19.567766Z

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=2026-08-04T20:44:13.408806Z digest=sha256:1c533a13392e043746616d93b8948bcd6a0ac4c0b8972a9df9a06d3b3a1cd769

Observation 40ca3331-dbb4-4657-948b-b4a1bc00870f · outbound

This paper cites Simple online and realtime tracking with a deep association metric.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Simple online and realtime tracking with a deep association metric

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-04T20:44:19.402203Z

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=2026-08-04T20:44:13.446320Z digest=sha256:2ea3da4cfc27c1df53eeb1c6a63da752b41d7f399c0c1a250ab88e198d6c60a0

Observation 88f8ea04-0551-4678-9016-9704ebac1bf2 · outbound

This paper cites an unresolved cited work.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Unresolved cited work

Reference 3

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unresolved
raw_fallback, observed 2026-08-04T20:44:19.153559Z

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=2026-08-04T20:44:13.535918Z digest=sha256:370b06b5e2ce269ba9693219c1892b6d2db191e765a72f1e12f91d967bdbf253

Observation 94bb00cd-acb6-4bd3-ad61-e5c83b6f2f1c · outbound

This paper cites Polarmot: How far can geometric relations take us in 3d multi-object tracking? InEuropean conference on computer vision, pages 41–58.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Polarmot: How far can geometric relations take us in 3d multi-object tracking? InEuropean conference on computer vision, pages 41–58

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-04T20:44:18.990529Z

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=2026-08-04T20:44:13.577193Z digest=sha256:aca798574e56dfc6b847b38d927e368c47a5e329ffdb2707a7c6e62dc3627f6f

Observation 475eefc8-742c-4bea-adc0-b5e92a0f4c07 · outbound

This paper cites Multi-target multi-camera tracking of vehicles using metadata-aided re-id and trajectory-based camera link model.IEEE Transactions on Image Processing, 30:5198–5210, 2021.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Multi-target multi-camera tracking of vehicles using metadata-aided re-id and trajectory-based camera link model.IEEE Transactions on Image Processing, 30:5198–5210, 2021

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-04T20:44:18.784109Z

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=2026-08-04T20:44:13.681166Z digest=sha256:824df23afc94bdc66721d1d4eb1e96b5889a08f5c86026f6beb44d6662111941

Observation b84e237a-eb01-4305-bbbb-3cf885a2d779 · outbound

This paper cites Multiview detection with feature perspective transformation.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Multiview detection with feature perspective transformation

Reference 6

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raw_fallback, observed 2026-08-04T20:44:18.590985Z

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=2026-08-04T20:44:13.755505Z digest=sha256:86568497dc5a0b18c768cf656ebd78da3b0c323ce59374b84331751661d8b017

Observation 78342d39-b9b4-4310-bdf6-cdd14b19684c · outbound

This paper cites Mutr3d: A multi-camera tracking framework via 3d-to-2d queries.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 4536–4545, 2022.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Mutr3d: A multi-camera tracking framework via 3d-to-2d queries.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pages 4536–4545, 2022

Reference 7

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raw_fallback, observed 2026-08-04T20:44:18.402962Z

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=2026-08-04T20:44:13.798081Z digest=sha256:10b13f34fa924dffbab97fa8496f8ad5ecd6cfbaf805bce5597d4a78c6633df9

Observation 57a26fde-447b-41bd-b3ab-0c72ab3353dc · outbound

This paper cites Bevformer: learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Bevformer: learning bird’s-eye-view representation from lidar-camera via spatiotemporal transformers.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 8

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no resolver link, observed 2026-08-04T20:44:13.902288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:44:13.902288Z digest=sha256:98c12e6c96c3eeed6f02ea29fb8c183b5a114c34a8d0da0d34db3442e2a122a7

Observation d6ed106f-4c42-4763-9886-b9732ee768e8 · outbound

This paper cites Earlybird: Early-fusion for multi-view tracking in the bird’s eye view.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Earlybird: Early-fusion for multi-view tracking in the bird’s eye view

Reference 9

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raw_fallback, observed 2026-08-04T20:44:18.193860Z

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=2026-08-04T20:44:14.015379Z digest=sha256:a5216e2fccc5ead4d988d3890409cb7ed5e8167b968b85bd44d8092f16581855

Observation f3e77b13-f3bd-43a6-bcbf-ea14e8d666fd · outbound

This paper cites Lifting multi-view detection and tracking to the bird’s eye view.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Lifting multi-view detection and tracking to the bird’s eye view

Reference 10

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raw_fallback, observed 2026-08-04T20:44:17.974081Z

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=2026-08-04T20:44:14.087682Z digest=sha256:fb7cbbc6d87bd0cf31da350b38a42f8244e38be7e80338ac74ceb96c45e4edab

Observation dfb2bcc1-28f5-442c-9545-c111156c470e · outbound

This paper cites Multi-scale context aggregation by dilated convolutions.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Multi-scale context aggregation by dilated convolutions

Reference 11

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raw_fallback, observed 2026-08-04T20:44:17.736298Z

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=2026-08-04T20:44:14.132919Z digest=sha256:d1394ac23454e2a0de65b2af986616c7bf999670f68d617aa07a91d2237851ed

Observation 75418e36-ecb2-42c8-b4e0-e3200a5298ee · outbound

This paper cites Focal Loss for Dense Object Detection.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Focal Loss for Dense Object Detection

Reference 12

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no resolver link, observed 2026-08-04T20:44:14.209019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:44:14.209019Z digest=sha256:f878e1f7002b7e297debabc9f77bbd7863762ac30a760787e008876bbf10c9c5

Observation e7a51f60-f8ae-426d-8dde-8be25bbe5f6f · outbound

This paper cites The WILDTRACK Multi-Camera Person Dataset.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking The WILDTRACK Multi-Camera Person Dataset

Reference 13

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no resolver link, observed 2026-08-04T20:44:14.300872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:44:14.300872Z digest=sha256:c90ebbf71241f435677745119411b96d8f951001891cf04acca1ad2f165f3d4c

Observation 7f9c0eb8-8c10-414c-9e57-720794e4a8ed · outbound

This paper cites Multiview detection with feature perspective transformation.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Multiview detection with feature perspective transformation

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T20:44:17.550350Z

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=2026-08-04T20:44:14.376341Z digest=sha256:a2c0e3f4510cf357b96252e19608b30f8a856c485e23813e282c7da7dce5d81d

Observation 379bc2c5-0b96-470a-8554-e4fb50f8da69 · outbound

This paper cites Multi-view people tracking via hierarchical trajectory composition.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Multi-view people tracking via hierarchical trajectory composition

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T20:44:17.294684Z

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=2026-08-04T20:44:14.456501Z digest=sha256:ac5eb4495c97d764b1b5557bf376ad6f766d592bd597563518aee49ae68b105f

Observation 3a058a93-63bf-46c1-991f-1cf88b202f21 · outbound

This paper cites Deep multi-camera people detection.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Deep multi-camera people detection

Reference 16

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raw_fallback, observed 2026-08-04T20:44:17.045184Z

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=2026-08-04T20:44:14.530257Z digest=sha256:208c17444455fdb6bf9c2a20557c0a79ab78b963e35500bafeb656a921d8a1c3

Observation 46cdf643-43e2-4539-a04e-b2f1c8ccea3e · outbound

This paper cites Deep occlusion reasoning for multi-camera multi-target detection.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Deep occlusion reasoning for multi-camera multi-target detection

Reference 17

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raw_fallback, observed 2026-08-04T20:44:16.826705Z

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=2026-08-04T20:44:14.679241Z digest=sha256:bdde7a51f1a5cb466d616f935f6efd5edf19497cdef81a6b95710f6a048d468d

Observation a7288f30-15ed-4023-ac4b-8a23b46218a3 · outbound

This paper cites Stacked homography transformations for multi-view pedestrian detection.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Stacked homography transformations for multi-view pedestrian detection

Reference 18

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raw_fallback, observed 2026-08-04T20:44:16.654864Z

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=2026-08-04T20:44:14.723490Z digest=sha256:ac84a3e3d801f8d36e3df30ee3c1171adbe79191c3bf12603d41fd36be85cb52

Observation e54fae3b-5b76-4cb8-ba0a-fdbb3580a3d7 · outbound

This paper cites Multiview detection with shadow transformer (and view-coherent data augmen- tation).

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Multiview detection with shadow transformer (and view-coherent data augmen- tation)

Reference 19

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raw_fallback, observed 2026-08-04T20:44:16.455649Z

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=2026-08-04T20:44:14.790115Z digest=sha256:b6c85a94055eaf3a76832fffe39b808355d95788fe009f389becff6ade65db87

Observation bb048226-20d8-499b-be48-16d99b24baff · outbound

This paper cites Booster-shot: Boosting stacked homography transformations for multiview pedestrian detection with attention.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Booster-shot: Boosting stacked homography transformations for multiview pedestrian detection with attention

Reference 20

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raw_fallback, observed 2026-08-04T20:44:16.238150Z

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=2026-08-04T20:44:14.856795Z digest=sha256:2b4fa52b4694a4af6977a4014824aad6b3a3021ab29483ab8b5b5b47c9c59aea

Observation 27d9f73d-cdc9-41fd-aaf7-4dd900227fe4 · outbound

This paper cites Wildtrack: A multi-camera hd dataset for dense unscripted pedestrian detection.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Wildtrack: A multi-camera hd dataset for dense unscripted pedestrian detection

Reference 21

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raw_fallback, observed 2026-08-04T20:44:15.967537Z

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=2026-08-04T20:44:14.939371Z digest=sha256:7f364ecf62fbade2075222b3389f3ea0b613b2a9f9a11d91178c62ad2ecad81d

Observation 2cbad96a-28eb-4ff0-a7eb-0d965a7226f4 · outbound

This paper cites Real-time 3D Deep Multi-Camera Tracking.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Real-time 3D Deep Multi-Camera Tracking

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T20:44:14.986493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:44:14.986493Z digest=sha256:de065d0fdf05e082a58d83bd6b0537a397d3d62b53995678446ce4b103c83c67

Observation 04b0906f-0e69-48c0-a302-6f98a6f770ee · outbound

This paper cites A bayesian filter for multi-view 3d multi-object tracking with occlusion handling.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(5):2246–2263, 2022.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking A bayesian filter for multi-view 3d multi-object tracking with occlusion handling.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(5):2246–2263, 2022

Reference 23

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raw_fallback, observed 2026-08-04T20:44:15.761133Z

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=2026-08-04T20:44:15.082868Z digest=sha256:cda555dcb7ef9ac3ae77e0ab7d2e856fd6c6d8efd99a1884f38a964493723e5e

Observation 8db0e21c-1ea4-4338-babf-56635242c13a · outbound

This paper cites Rest: A reconfigurable spatial-temporal graph model for multi-camera multi-object tracking.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 10017–10026, 2023.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Rest: A reconfigurable spatial-temporal graph model for multi-camera multi-object tracking.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 10017–10026, 2023

Reference 24

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raw_fallback, observed 2026-08-04T20:44:15.574572Z

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=2026-08-04T20:44:15.159495Z digest=sha256:5bb7eea71ad016180a38b0cdfa8d46a004b0ac068041939b2f885fb3953f1706

Observation f3da5bfb-2b23-43c0-8fc6-19d0fec64678 · outbound

This paper cites Mcblt: Multi-camera multi-object 3d tracking in long videos, 2025.

Sparse BEV Fusion with Self-View Consistency for Multi-View Detection and Tracking Mcblt: Multi-camera multi-object 3d tracking in long videos, 2025

Reference 25

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raw_fallback, observed 2026-08-04T20:44:15.408983Z

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=2026-08-04T20:44:15.209246Z digest=sha256:3ad81f1425d26f48dbf824672bed889df7088dc01d0f5244ca7498e8eff60a47

Pith citing papers

No inbound Pith citation observations are available.