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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=sha256:0b8eeac1068892d4dbadeb5214a521106ad55313e849a2f488989113d4e73765

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:dcd5b4bb24a77c526e5a30db3a7dea10b2fc8514d57758f71b20ea37396ffbd6

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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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=sha256:03e56680e7425df2d6a5c5b9aae4957927bf4d7a3165b79da290fd74c9d57927

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=sha256:363911321128ff8f1ca675c3fe1d2fbd2395851012ffb5ce3c1fbaace2349e62

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

Resolution
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=sha256:93434d1bf095e6bf27bee0054bffdc97954c7c747b061d0958bcda899d2007ee

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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verified fuzzy
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:bcbf895ae10dcb6fd3e3bf78f35682fb340c25100fdff18a3d48eab0581aa75a

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=sha256:2d1f1c91d953a57104c125a980b0c3d9e2636509c4a6fb29cb31829f7bc8f894

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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unresolved
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=sha256:606e8ecb4d2b7c70dcf799725e49699a982508f1dd486a80db8303260731d5a6

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=sha256:833d0e822af2fc8d081698b8ddb853900211e6e8fc3e300c90e7b14e14e80c96

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=sha256:4c5fb0590c39f59c43787f4e732cfe285f9a55df948a11b90a1d9ee88ad81ab1

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=sha256:64dc9a09a40e93d1479202b9435004856a37b988784c71208ea77ef89f6d3202

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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unresolved
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=sha256:91c8c28bfdc8e98ef1b335adb8c84839e5eb4a9bcd007306179f936adddf9a7a

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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unresolved
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=sha256:1369d658bbe679591077d38c8535c96f6a9b9ed4a5d983171642abfcf0cb383d

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:e32e67544946607fcb8be2cf2896fc4700479f1a70a0fe90cfa025765c373ab6

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:db83c94412661c036fb2dd7bb6d15c823fd7e07fd534013e43a79e1019e6d2d3

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=sha256:1be0eb63030a5ba59767c2835258f9f4d4446a65dd1b4f88d33d51de24330139

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:ff87fbb2acf24039291dca8e01fdf6e9339ab577e0d4277f94cb0a22e6042dc8

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:f71b06d89ef16932d35823c5d66b47542b9ce8be2c7a3c050df9bf6acadfae90

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:a19db30f51ab547b67a3e181596500faa04198b740f055def0d5724357344703

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:ef0027f213f32b6f8176a11e746ef94255b87f48de1f08d8c458b2255b3f8c6f

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=sha256:9e3de064aeac42aa3b541545403fd54194ac91031ffc18bb5f2eba143058d1cf

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=sha256:7ee0c537871dfe1986a0bd02cbe4b8318442c2426eecfec72ef440f18d1c2b5c

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:e49ae5aeef6bab4e504d4aedd92270f617d383289229df40e18ec0d5270a4e85

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=sha256:36c0bdd1683a39037d6b7a6610628170784e631624cdfc9a940b7765a2b5ba9b

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

Resolution
verified fuzzy
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=sha256:8ccebebb5cde4445ef64b1611c53afb1068e1a6e32b3f0e2b56458c2f093b186

Pith citing papers

No inbound Pith citation observations are available.