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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:13.408806Z digest=sha256:44cd7f581d7640e2dde76c9c2bdcc0e63c6caf42e6da60769ff3a4ec8730c264

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:13.446320Z digest=sha256:67eb29818de405d6998f30f530b1d527f7426b6b637a7d0670c4a30419f3ccfb

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:13.535918Z digest=sha256:d6749d73b31a076d4f02ba3e194ca4d5c6a4561a5d58567c24967883d24959ae

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:13.577193Z digest=sha256:e52ee810155a20f7548073224789f5bc85300bf0f9912dcff70266b374cc9da5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:13.681166Z digest=sha256:e6cbcce37c990b9fd8ba260de738a925984617ec4c2552d5edea089d22746cad

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:13.755505Z digest=sha256:5092233edee275afdefa127f501567429f04e9f61205e03b7ece9d35502813d7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:13.798081Z digest=sha256:9061ff5a9a32ebaf2a5be2e99b681eb3434128da5d117b93b364391af717b547

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=sha256:606e8ecb4d2b7c70dcf799725e49699a982508f1dd486a80db8303260731d5a6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:14.015379Z digest=sha256:383689cd59078d25023798e6a3cf08908d00f9253009a3a87600fc11c62bb151

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:14.087682Z digest=sha256:f93dd22518dee7b1dce121b8aa34706f08908a7e83c5507073438a5e66c9c8be

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:14.132919Z digest=sha256:7e32327a4da62cc60db51bb781afff4da77fc932e5fa64df50df319cd1b1b24a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:14.376341Z digest=sha256:04c180045169473fe285ec9ea029d9bf57cc24e0efcdd3d64b591f424760fa2e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:14.456501Z digest=sha256:205f61b49dcd4cdc80fbae1cab9733b6e3447f0ca029390bde1594e079a6b463

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:14.530257Z digest=sha256:945ac83d5d2f1dc706e4cc93b309ac86ffc59a8ac672b92ff93cfce90f81a2d1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:14.679241Z digest=sha256:4821e5a38c636ff1f9690e6e45626ede3ceac4680d7f4f39150c0d2aad05ed6e

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:14.723490Z digest=sha256:21faae84425162f2bd2581d8ee48d2033a30c914dd91d8fe8fced30653288f81

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:14.790115Z digest=sha256:29b06b515c04833b0afbee8f62ec37324a53bda543bb81763592c8769c95e0a0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:14.856795Z digest=sha256:48bfdc6ce08b02dbf25a6f2a0f9094729ad80e14e6f7ca397d6aecd711d5da5e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:14.939371Z digest=sha256:b569096493361397e4722019360d02c3b489bc3665c53d2067610ee0b853728f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:15.082868Z digest=sha256:6cda42db0fa85b5f8b5552d0bddb309e1778deecc09566beb70b7f5af31e5dc9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:15.159495Z digest=sha256:427f2c6d72c5329848e7d01feb1955d0681ce7c86522fc6a962e008ca5fd2cff

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T20:44:15.209246Z digest=sha256:6471f04dc7a8609bc9796b9c72f362d68581e44ccc63d71e846cedf3f079c586

Pith citing papers

No inbound Pith citation observations are available.