Paper Citation Record · LEDGER

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception

As of 20 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2606.11573.

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

pith.paper-citation-record.v1
2606.11573 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T10:50:26.920351Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

44 of 44 outbound references displayed

verified exact2
verified fuzzy0
unresolved42
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 109d5902-0e0f-4d2f-ad8b-fd30af007af2 · outbound

This paper cites Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c25ec394-e415-4d46-acd4-a085d05aca28 · outbound

This paper cites Seeing through fog without seeing fog: Deep multi- modal sensor fusion in unseen adverse weather,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Seeing through fog without seeing fog: Deep multi- modal sensor fusion in unseen adverse weather,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0a09491-8a4c-40b2-9f00-c89c45426296 · outbound

This paper cites Shift: a synthetic driving dataset for continuous multi-task domain adaptation,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Shift: a synthetic driving dataset for continuous multi-task domain adaptation,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc1da6fd-6d85-436d-9e4e-82bd88a74397 · outbound

This paper cites Unimode: Unified monocular 3d object detection,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Unimode: Unified monocular 3d object detection,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

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Observation c22c9609-67b8-4ce1-8fb7-d140e69538ba · outbound

This paper cites Bev-dg: Cross-modal learning under bird’s-eye view for domain generalization of 3d semantic segmentation,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Bev-dg: Cross-modal learning under bird’s-eye view for domain generalization of 3d semantic segmentation,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

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Observation cd9bc65c-f332-4438-b010-2bba865099fc · outbound

This paper cites Unsupervised domain adaptation for monocular 3d object detection via self-training,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Unsupervised domain adaptation for monocular 3d object detection via self-training,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

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Observation 9989f38b-7575-4649-8bb1-bc0703ee02aa · outbound

This paper cites Da- bev: Unsupervised domain adaptation for bird’s eye view perception,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Da- bev: Unsupervised domain adaptation for bird’s eye view perception,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ddc17a1-ee85-4007-9b85-965cc5efa80e · outbound

This paper cites Cross-dataset sensor align- ment: Making visual 3d object detector generalizable,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Cross-dataset sensor align- ment: Making visual 3d object detector generalizable,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

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Observation 30cd1e6e-b3dc-4603-9a89-cd2704f080ba · outbound

This paper cites 4seasons: A cross-season dataset for multi- weather slam in autonomous driving,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception 4seasons: A cross-season dataset for multi- weather slam in autonomous driving,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3851b3f4-209a-42a9-a909-e832f712427d · outbound

This paper cites Domain generalization of 3d object detection by density-resampling,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Domain generalization of 3d object detection by density-resampling,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46bffad0-aa36-4993-a949-e49e7c38c392 · outbound

This paper cites Roburcdet: Enhancing robustness of radar-camera fusion in bird's eye view for 3d object detection,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Roburcdet: Enhancing robustness of radar-camera fusion in bird's eye view for 3d object detection,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db3ae3a2-084c-45f7-a7a5-1c94199143d0 · outbound

This paper cites Rc- bevfusion: A plug-in module for radar-camera bird’s eye view feature fusion,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Rc- bevfusion: A plug-in module for radar-camera bird’s eye view feature fusion,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 235d4277-1704-4fa1-a6c0-e5fb5c1bf1cc · outbound

This paper cites Rcbevdet: Radar-camera fusion in bird’s eye view for 3d object detection,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Rcbevdet: Radar-camera fusion in bird’s eye view for 3d object detection,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1ee7342-b27f-4c32-a3ed-6bf866d3be11 · outbound

This paper cites Bevuda: Multi-geometric space alignments for domain adaptive bev 3d object detection,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Bevuda: Multi-geometric space alignments for domain adaptive bev 3d object detection,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75c3cb62-a380-4eb3-be47-4651ae20148f · outbound

This paper cites Bevuda++: geometric-aware unsupervised domain adaptation for multi- view 3d object detection,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Bevuda++: geometric-aware unsupervised domain adaptation for multi- view 3d object detection,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27b1c4bc-6e2c-4805-b323-9b1d660b8680 · outbound

This paper cites Domain generalization through data augmentation: A survey of methods, applications, and challenges,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Domain generalization through data augmentation: A survey of methods, applications, and challenges,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35a46712-9a8c-4747-829e-d7de18662a88 · outbound

This paper cites Domain generalization via invariant feature representation,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Domain generalization via invariant feature representation,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

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Observation e7b075a9-58ca-48db-89b1-e87db6a6ec3e · outbound

This paper cites Generalizing to unseen domains: A survey on domain generalization,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Generalizing to unseen domains: A survey on domain generalization,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10705899-c35e-45e9-8eb4-96f24b58de08 · outbound

This paper cites On the benefits of representation regularization in invariance based domain generalization,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception On the benefits of representation regularization in invariance based domain generalization,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

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Observation 71741126-6942-4361-ae57-828e5ede8283 · outbound

This paper cites Towards generalizable multi-camera 3d object detection via perspective render- ing,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Towards generalizable multi-camera 3d object detection via perspective render- ing,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 116c7b0a-935f-41d4-bfdd-ed2a7e39aa8d · outbound

This paper cites Multi- class road user detection with 3+ 1d radar in the view-of-delft dataset,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Multi- class road user detection with 3+ 1d radar in the view-of-delft dataset,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d15c4421-5e1a-4272-9c53-4f3241669dbb · outbound

This paper cites Tj4dradset: A 4d radar dataset for au- tonomous driving,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Tj4dradset: A 4d radar dataset for au- tonomous driving,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e119110-898f-4f7f-b58c-f25dd4900c08 · outbound

This paper cites Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a041a712-d49f-4f92-8bfc-4c461adf9efa · outbound

This paper cites Racformer: Towards high-quality 3d object detection via query-based radar-camera fusion,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Racformer: Towards high-quality 3d object detection via query-based radar-camera fusion,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83541273-981c-49c7-ac65-bf1ce2b76d03 · outbound

This paper cites Bridging domain generalization to multimodal domain generalization via unified representations,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Bridging domain generalization to multimodal domain generalization via unified representations,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f9d560c-479e-4e0a-9fa9-d958c851b119 · outbound

This paper cites Open domain generalization with domain-augmented meta-learning,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Open domain generalization with domain-augmented meta-learning,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f312d844-a613-4374-8d10-baacb5005207 · outbound

This paper cites Augmentation-based domain generalization for semantic segmentation,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Augmentation-based domain generalization for semantic segmentation,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e631db0-5377-4bed-bae4-cee4661ac64f · outbound

This paper cites Object-aware domain gen- eralization for object detection,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Object-aware domain gen- eralization for object detection,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce08ebf8-d62b-414d-a8a0-f5843f374951 · outbound

This paper cites Out-of-distribution generalization via risk extrapolation (rex),.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Out-of-distribution generalization via risk extrapolation (rex),

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

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Observation 91c88497-ad77-447d-9b07-285799236538 · outbound

This paper cites Boosting domain generalized and adaptive detection with diffusion models: Fitness, generalization, and transferability,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Boosting domain generalized and adaptive detection with diffusion models: Fitness, generalization, and transferability,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

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Observation b9263d4f-176f-47fb-bb70-0d9841dffab1 · outbound

This paper cites Towards single-source domain generalized object detection via causal visual prompts,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Towards single-source domain generalized object detection via causal visual prompts,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

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Observation 4ae67676-9172-47c5-818a-8aa9c3d7a5bf · outbound

This paper cites From dataset to real-world: general 3d object detection via generalized cross-domain few-shot learning,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception From dataset to real-world: general 3d object detection via generalized cross-domain few-shot learning,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af7e51bf-1666-42d1-8729-c8e14fcbeef4 · outbound

This paper cites Towards cross-platform generalization: Domain adaptive 3d detection with aug- mentation and pseudo-labeling,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Towards cross-platform generalization: Domain adaptive 3d detection with aug- mentation and pseudo-labeling,

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:17:45.749456Z

Source-reported events for the cited work

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Observation fedc0625-1913-4786-8a07-8ddd78187dce · outbound

This paper cites Rpgfusion: 4d radar prior-guided multi-modal fusion for 3d detection,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Rpgfusion: 4d radar prior-guided multi-modal fusion for 3d detection,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

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Observation cbd62d3a-3a4f-4d77-a2f2-1251d32a39ce · outbound

This paper cites Cvfusion: Cross-view fusion of 4d radar and camera for 3d object detection,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Cvfusion: Cross-view fusion of 4d radar and camera for 3d object detection,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 153276f4-ff99-4573-a8b9-e1cf49da31f0 · outbound

This paper cites Rctrans: Radar-camera transformer via radar densifier and sequential decoder for 3d object detection,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Rctrans: Radar-camera transformer via radar densifier and sequential decoder for 3d object detection,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff2a2309-cb6c-4e97-bac9-bed5f41d4016 · outbound

This paper cites R4det: 4d radar-camera fusion for high-performance 3d object detection,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception R4det: 4d radar-camera fusion for high-performance 3d object detection,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

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Observation 4001bab1-468f-44a6-aa0f-1823c894fc92 · outbound

This paper cites Sdef-bev: spatial-aware dual-expert radar-camera fusion for robust bev 3d object detection,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Sdef-bev: spatial-aware dual-expert radar-camera fusion for robust bev 3d object detection,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 579adf83-d743-4e14-ae4e-5862744e5775 · outbound

This paper cites Radiate: A radar dataset for automotive perception in bad weather,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Radiate: A radar dataset for automotive perception in bad weather,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

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Observation bb3ed81d-8aeb-4bee-8bf7-99a79b617115 · outbound

This paper cites A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:17:45.753103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7a29938a-aecc-4cea-8acd-c8ead22f8883 · outbound

This paper cites When domain generalization meets generalized category discovery: An adap- tive task-arithmetic driven approach,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception When domain generalization meets generalized category discovery: An adap- tive task-arithmetic driven approach,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

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Observation a20a0b4f-a45d-47c3-9896-65c5dc1f712f · outbound

This paper cites A novel cross-perturbation for single domain generalization,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception A novel cross-perturbation for single domain generalization,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

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Observation 2a7083c1-7ec9-446b-9600-5bcf616f06e8 · outbound

This paper cites Spg: Unsu- pervised domain adaptation for 3d object detection via semantic point generation,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Spg: Unsu- pervised domain adaptation for 3d object detection via semantic point generation,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c694508-b6a6-4dd7-8516-1c8f95ed5f9d · outbound

This paper cites Leveraging vision-language models for improving domain generalization in image classification,.

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception Leveraging vision-language models for improving domain generalization in image classification,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-27T10:50:26.920351Z

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Pith citing papers

No inbound Pith citation observations are available.