Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T06:00:06.561174Z
Paper Citation Record · LEDGER
Domain Adaptation for Different Sensor Configurations in 3D Object Detection
As of 13 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2509.04711.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T21:47:04.612808Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
57 of 57 outbound references displayed
- verified exact0
- verified fuzzy50
- unresolved5
- parse uncertain1
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3be0b8e5-bd54-495b-98d9-b1a4a232b98d · outbound
This paper cites Llama 2: Open foundation and fine- tuned chat models, 2023.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Llama 2: Open foundation and fine- tuned chat models, 2023
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.425609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 066fc424-955c-41f6-8bb7-dd1d88b437ae · outbound
This paper cites The llama 3 herd of models, 2024.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection The llama 3 herd of models, 2024
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.411092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2c6d9ee8-bad9-4e04-b370-637fd4d99e8b · outbound
This paper cites an unresolved cited work.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T06:00:07.396279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9ae59dad-b29c-48fb-b818-d1ed4f25cf4e · outbound
This paper cites an unresolved cited work.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Unresolved cited work
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T06:00:06.330717Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d89b4bd-0d51-4b4f-be02-87818184b9f1 · outbound
This paper cites Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Gi- ancarlo Baldan, and Oscar Beijbom.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Gi- ancarlo Baldan, and Oscar Beijbom
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T06:00:06.335343Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86cdb382-9fc8-4876-9ebe-a3320f51e18d · outbound
This paper cites Wellington.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Wellington
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.362533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c222866c-f252-4367-9308-6f9754286c89 · outbound
This paper cites Cmd: A cross mechanism domain adaptation dataset for 3d object detection.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Cmd: A cross mechanism domain adaptation dataset for 3d object detection
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.348672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4c5c5442-d9c5-40a4-9b41-2cbfff22b76a · outbound
This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Are we ready for autonomous driving? the kitti vision benchmark suite
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.333324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation dd055910-1d1c-4d97-8b27-6ae3be272850 · outbound
This paper cites Density-insensitive unsupervised domain adaption on 3d object detection.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Density-insensitive unsupervised domain adaption on 3d object detection
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.318534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cde04620-e8a4-4aa8-8dce-b78c40c24065 · outbound
This paper cites Semi- supervised domain adaptation using target-oriented domain augmentation for 3d object detection.IEEE Transactions on Intelligent Vehicles, pages 1–12, 2024.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Semi- supervised domain adaptation using target-oriented domain augmentation for 3d object detection.IEEE Transactions on Intelligent Vehicles, pages 1–12, 2024
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.302608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 03f008b1-fea0-4250-8535-99023778d838 · outbound
This paper cites Lang, Sourabh V ora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Lang, Sourabh V ora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.286863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9ce0871f-9848-4536-92cb-a0e2a7d9ab32 · outbound
This paper cites Domain general- ization of 3d object detection by density-resampling.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Domain general- ization of 3d object detection by density-resampling
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.270944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9ae1fc0c-35e5-4ec0-8bf1-9e57033c5e90 · outbound
This paper cites Dali: Domain adaptive li- dar object detection via distribution-level and instance-level pseudo label denoising.IEEE Transactions on Robotics,.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Dali: Domain adaptive li- dar object detection via distribution-level and instance-level pseudo label denoising.IEEE Transactions on Robotics,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.254877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 26588dd3-516b-4b1e-bc22-fd0152bbb681 · outbound
This paper cites One million scenes for autonomous driv- ing: Once dataset.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection One million scenes for autonomous driv- ing: Once dataset
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.238662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 863f61b8-8af2-4aec-9e2e-5fcfec28a244 · outbound
This paper cites 3d object detection for autonomous driving: A comprehensive survey, 2023.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection 3d object detection for autonomous driving: A comprehensive survey, 2023
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.222323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2a6e8d69-45d2-408a-906e-a788c36e6ccb · outbound
This paper cites Meituan: Autonomous delivery and urban ser- vice platform.https://about.meituan.com/en,.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Meituan: Autonomous delivery and urban ser- vice platform.https://about.meituan.com/en,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.206428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f5f58a6b-03c3-4e26-a1ec-03433650f882 · outbound
This paper cites Large language models: A survey, 2025.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Large language models: A survey, 2025
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.176605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3df26a97-acc1-48ba-b3e0-d4ce5ddc6c87 · outbound
This paper cites Nuro: Autonomous delivery for everyday needs.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Nuro: Autonomous delivery for everyday needs
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.160952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b444e12d-8c16-49e1-9d2a-e7b09605eb7b · outbound
This paper cites Gpt-4 technical report, 2024.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Gpt-4 technical report, 2024
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T06:00:06.402770Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8fc85187-a701-4f7b-83cd-43cc56ec7816 · outbound
This paper cites Cl3d: Unsuper- vised domain adaptation for cross-lidar 3d detection.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Cl3d: Unsuper- vised domain adaptation for cross-lidar 3d detection
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.134869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7f28a3ab-fa03-46a7-a9cf-e40d7ce43b49 · outbound
This paper cites Plus: Transforming the trucking industry with self- driving technology.https://www.plus.ai/, 2025.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Plus: Transforming the trucking industry with self- driving technology.https://www.plus.ai/, 2025
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.120192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b3f35b01-fa57-4cb7-850b-f28cc90d3b36 · outbound
This paper cites Pony.ai: Autonomous driving technology.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Pony.ai: Autonomous driving technology
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.105584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2c8884ff-ce18-49fa-baaa-25088e08cc0b · outbound
This paper cites Qi, Hao Su, Kaichun Mo, and Leonidas J.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Qi, Hao Su, Kaichun Mo, and Leonidas J
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.091085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1e3d1bcb-7e84-4eec-8cc6-26eb8f65b384 · outbound
This paper cites Qi, Li Yi, Hao Su, and Leonidas J.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Qi, Li Yi, Hao Su, and Leonidas J
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.076934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a934eacf-307e-4db7-80c5-69282c4e485d · outbound
This paper cites Pointr- cnn: 3d object proposal generation and detection from point cloud.2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 770–779, 2018.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Pointr- cnn: 3d object proposal generation and detection from point cloud.2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 770–779, 2018
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.062589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 39704c0e-ae17-4bbf-9afa-a27c3e5f6236 · outbound
This paper cites Pv-rcnn: Point-voxel feature set abstraction for 3d object detection.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Pv-rcnn: Point-voxel feature set abstraction for 3d object detection
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.047718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation afe09c39-15fe-49bf-b041-c1f593ef3fc3 · outbound
This paper cites an unresolved cited work.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T06:00:07.032855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 826e6990-07c1-47d4-a36d-fd0a21c2402c · outbound
This paper cites Mdt3d: Multi-dataset training for lidar 3d object detection generalization.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Mdt3d: Multi-dataset training for lidar 3d object detection generalization
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.017904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8b616437-9f9f-4983-a209-d2c955fc83ef · outbound
This paper cites Scalability in perception for autonomous driving: Waymo open dataset.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Scalability in perception for autonomous driving: Waymo open dataset
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:07.000034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c1aac5e3-ccc2-457d-8375-2aee1819fd0a · outbound
This paper cites Triess, Mariella Dreissig, Christoph B.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Triess, Mariella Dreissig, Christoph B
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.985351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8ab51d82-27ee-4b6d-a8e9-7661cc83cd12 · outbound
This paper cites Ms3d++: Ensemble of experts for multi-source unsupervised domain adaptation in 3d ob- ject detection.IEEE Transactions on Intelligent Vehicles, pages 1–16, 2024.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Ms3d++: Ensemble of experts for multi-source unsupervised domain adaptation in 3d ob- ject detection.IEEE Transactions on Intelligent Vehicles, pages 1–16, 2024
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.971102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2dde95c8-f3b1-4a66-9213-94c104ab423f · outbound
This paper cites Tusimple: Self-driving technology for long- haul freight.https://www.tusimple.com/, 2025.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Tusimple: Self-driving technology for long- haul freight.https://www.tusimple.com/, 2025
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.956914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e4fc8f70-fe36-40bb-ae73-06e409012027 · outbound
This paper cites Weinberger, and Wei- Lun Chao.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Weinberger, and Wei- Lun Chao
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.942917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7bcbdd35-e46e-4385-a6d3-b7eed6f35d57 · outbound
This paper cites Ssda3d: Semi-supervised domain adaptation for 3d object detection from point cloud.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Ssda3d: Semi-supervised domain adaptation for 3d object detection from point cloud
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.928531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3f40b745-b07b-4ce6-a956-615f7c4a063c · outbound
This paper cites One for all: Multi-domain joint training for point cloud based 3d object detection.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection One for all: Multi-domain joint training for point cloud based 3d object detection
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.914396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 73294278-7f26-4a3e-937c-8cbecd893255 · outbound
This paper cites Waymo: Autonomous driving technology company.https://waymo.com/, 2025.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Waymo: Autonomous driving technology company.https://waymo.com/, 2025
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.899802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1a7bbf54-5521-478c-a48a-18ccaab74e48 · outbound
This paper cites Weride - leading autonomous driving company.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Weride - leading autonomous driving company
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.885065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b6594883-35e1-4acd-9a7e-4ffd5bebb5fb · outbound
This paper cites UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps
Reference 38
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T06:00:06.604831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 55eb8cd5-245f-49fe-be35-dfeea472089e · outbound
This paper cites Towards universal lidar-based 3d object detec- tion by multi-domain knowledge transfer.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Towards universal lidar-based 3d object detec- tion by multi-domain knowledge transfer
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.870360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 31581597-7891-487b-8278-655c3531913f · outbound
This paper cites Revisiting domain-adaptive 3d object detection by reliable, diverse and class-balanced pseudo-labeling.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Revisiting domain-adaptive 3d object detection by reliable, diverse and class-balanced pseudo-labeling
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.855068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5e5cef4e-dc05-4a44-ac76-61d26ffbf28c · outbound
This paper cites Qi, and Dragomir Anguelov.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Qi, and Dragomir Anguelov
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.840408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d059b6a0-739e-485b-b12f-b98262c0b9ca · outbound
This paper cites Second: Sparsely embed- ded convolutional detection.Sensors (Basel, Switzerland), 18, 2018.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Second: Sparsely embed- ded convolutional detection.Sensors (Basel, Switzerland), 18, 2018
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.825898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 342c864e-d1ea-4f2b-b82c-deefc23ff845 · outbound
This paper cites Pixor: Real- time 3d object detection from point clouds.2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 7652–7660, 2018.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Pixor: Real- time 3d object detection from point clouds.2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 7652–7660, 2018
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.811789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4ca589ac-369e-4cf1-b66c-1a51a097c9c0 · outbound
This paper cites Fingpt: Open-source financial large language models, 2023.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Fingpt: Open-source financial large language models, 2023
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.797790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5dcfa87c-7b34-46bf-a24f-f89bc57a96e8 · outbound
This paper cites St3d: Self-training for unsupervised do- main adaptation on 3d object detection.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection St3d: Self-training for unsupervised do- main adaptation on 3d object detection
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.782704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1e737769-2e8a-4da8-9bbd-5222103d3bce · outbound
This paper cites St3d++: Denoised self-training for unsuper- vised domain adaptation on 3d object detection.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 2022.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection St3d++: Denoised self-training for unsuper- vised domain adaptation on 3d object detection.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 2022
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.768962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ea2d58a5-d711-4019-924b-6a3ef602fe8a · outbound
This paper cites 3dssd: Point-based 3d single stage object detector.2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 11037–11045, 2020.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection 3dssd: Point-based 3d single stage object detector.2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 11037–11045, 2020
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.754953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6b3b0696-f3d9-4218-a92a-5bca1d505ba9 · outbound
This paper cites Center- based 3d object detection and tracking.CVPR, 2021.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Center- based 3d object detection and tracking.CVPR, 2021
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.740672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3cfeb90c-6947-4bd2-9e2f-76952f8ae1eb · outbound
This paper cites Bi3d: Bi-domain active learn- ing for cross-domain 3d object detection.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Bi3d: Bi-domain active learn- ing for cross-domain 3d object detection
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.726539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c91cf12b-dfa3-4c67-ba3c-c8230d0fa980 · outbound
This paper cites Reg-tta3d: Better regres- sion makes better test-time adaptive 3d object detection.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Reg-tta3d: Better regres- sion makes better test-time adaptive 3d object detection
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.712122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b54f9bc7-cf9a-4530-88f5-5aa1c855ba11 · outbound
This paper cites Srdan: Scale- aware and range-aware domain adaptation network for cross- dataset 3d object detection.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Srdan: Scale- aware and range-aware domain adaptation network for cross- dataset 3d object detection
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.697078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f1944663-2cd1-4886-860e-b7c481e984b7 · outbound
This paper cites A survey of large language models, 2025.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection A survey of large language models, 2025
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.681135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 08510a64-3194-4c81-99df-4ec4d2d83dd0 · outbound
This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection.2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4490–4499, 2017.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection V oxelnet: End-to-end learning for point cloud based 3d object detection.2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4490–4499, 2017
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.665147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a1181fbf-bcfa-4769-8183-510887cbe06a · outbound
This paper cites Zoox: Purpose-built autonomous mobility.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Zoox: Purpose-built autonomous mobility
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.650340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d0678df7-bc93-493f-81f3-477858bd42c1 · outbound
This paper cites Recently, with the rapid development of large language models (LLMs) [17, 52], fine-tuning techniques themselves have also evolved.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Recently, with the rapid development of large language models (LLMs) [17, 52], fine-tuning techniques themselves have also evolved
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.635233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8de92e2f-fb11-4a4f-b565-1a31b4065815 · outbound
This paper cites The Total Number of Parameters We first examined the total number of parameters in the model.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection The Total Number of Parameters We first examined the total number of parameters in the model
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T06:00:06.620476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2a990530-aadb-45bc-8e3e-4bba6e2bdf9a · outbound
This paper cites an unresolved cited work.
Domain Adaptation for Different Sensor Configurations in 3D Object Detection Unresolved cited work
Reference 2025
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-05T06:00:07.191158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
Observation c9bd14a3-45f9-4c1c-80c2-4c9fb8fde0db · inbound
A User-driven Design Framework for Robotaxi cites this paper.
A User-driven Design Framework for Robotaxi Domain Adaptation for Different Sensor Configurations in 3D Object Detection
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T21:47:04.612808Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.