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Paper Citation Record · LEDGER

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising

As of 12 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2412.08806.

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

pith.paper-citation-record.v1
2412.08806 v1

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:35:32.690441Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

73 of 73 outbound references displayed

  • verified exact2
  • verified fuzzy57
  • unresolved14
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c1b82a2-8530-4f1c-b145-7cc9ee9af6d7 · outbound

This paper cites Sparse fuse dense: Towards high quality 3d detection with depth completion,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Sparse fuse dense: Towards high quality 3d detection with depth completion,

Reference 1

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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.

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Observation bcafc3c3-3edd-43f2-9f02-6b3ef46dcddd · outbound

This paper cites V oxel r- cnn: Towards high performance voxel-based 3d object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising V oxel r- cnn: Towards high performance voxel-based 3d object detection,

Reference 2

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raw_fallback, observed 2026-08-11T17:35:34.162578Z

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.

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Observation 03f9d448-b904-42ae-a472-bdaf18ed1626 · outbound

This paper cites PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d2686c23-e518-4ba2-86a9-cb9158fd6b8b · outbound

This paper cites Point-gnn: Graph neural network for 3d object detection in a point cloud,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Point-gnn: Graph neural network for 3d object detection in a point cloud,

Reference 4

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raw_fallback, observed 2026-08-11T17:35:34.142933Z

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.

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Observation 73dd1393-9e5d-42cb-9d8d-2e359a7ded32 · outbound

This paper cites Clocs: Camera-lidar object candi- dates fusion for 3d object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Clocs: Camera-lidar object candi- dates fusion for 3d object detection,

Reference 5

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raw_fallback, observed 2026-08-11T17:35:34.121422Z

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.

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Observation 4257778f-f671-46f7-bf7c-bdedf07581b9 · outbound

This paper cites A Review of Single-Source Deep Unsupervised Visual Domain Adaptation.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising A Review of Single-Source Deep Unsupervised Visual Domain Adaptation

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:35:32.318851Z digest=sha256:482b94c1e880677c35e38734234ea5e9793e6bb0632d31a08de9ebdb30bffe1f

Observation 5f206520-06dd-406a-a391-0b41e390023f · outbound

This paper cites A survey of unsupervised deep domain adaptation,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising A survey of unsupervised deep domain adaptation,

Reference 7

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raw_fallback, observed 2026-08-11T17:35:34.098945Z

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.

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Observation 584bb0da-ad8a-4fdc-b277-8876be464c2a · outbound

This paper cites Domain-adversarial training of neural networks,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Domain-adversarial training of neural networks,

Reference 8

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no resolver link, observed 2026-08-11T17:35:32.329864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:35:32.329864Z digest=sha256:d7a2e1ef0235aeb2b630a40d5963f5d3bfdc41684713b4d60b1564ac234fd40e

Observation 248ef539-003f-4c32-aa55-91087cff637b · outbound

This paper cites Adversarial discrim- inative domain adaptation,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Adversarial discrim- inative domain adaptation,

Reference 9

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raw_fallback, observed 2026-08-11T17:35:34.064446Z

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.

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Observation cad8b986-a21c-4953-9ead-2e352fd31392 · outbound

This paper cites Deep Domain Confusion: Maximizing for Domain Invariance.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Deep Domain Confusion: Maximizing for Domain Invariance

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:35:32.339180Z digest=sha256:6a474d33eff2c43607614403eae1b3df03e88c0ddc86fa613e6e0f73e3521c12

Observation 032d811f-f529-4016-b42b-4b7bb075455c · outbound

This paper cites Learning transferable features with deep adaptation networks,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Learning transferable features with deep adaptation networks,

Reference 11

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raw_fallback, observed 2026-08-11T17:35:34.047227Z

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.

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Observation a0acc979-3db9-4deb-b25b-5e3469fc0c5c · outbound

This paper cites Unsupervised domain adapta- tion in the wild via disentangling representation learning,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Unsupervised domain adapta- tion in the wild via disentangling representation learning,

Reference 12

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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.

source=pdf_text observed=2026-08-11T17:35:32.349346Z digest=sha256:711ea21255383340bd8047f81172044824a27e26a5eca059bb11912edd4e6353

Observation 03f25cd7-3fe9-47c1-8327-93497ab8d9fb · outbound

This paper cites Dranet: Disentangling representation and adaptation networks for unsupervised cross-domain adaptation,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Dranet: Disentangling representation and adaptation networks for unsupervised cross-domain adaptation,

Reference 13

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raw_fallback, observed 2026-08-11T17:35:34.011201Z

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.

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Observation a48b1bb6-e9ee-42ea-8b3f-cea3d97ac14e · outbound

This paper cites Spherical space domain adaptation with robust pseudo-label loss,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Spherical space domain adaptation with robust pseudo-label loss,

Reference 14

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raw_fallback, observed 2026-08-11T17:35:33.992585Z

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.

source=pdf_text observed=2026-08-11T17:35:32.359281Z digest=sha256:639ceef171a8e9ae4fa4466a494ab8a30e346f0e622b8be01e96734688bd9aff

Observation 3e0ad9ce-6a77-48a0-a343-4b52d3a2c9c5 · outbound

This paper cites Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:35:32.364659Z digest=sha256:fc41815f7f2ffb22f8f51008a184987f4675f33db8baff3655a1bab12f142412

Observation c923b57a-13df-4c3c-914f-12f4cb273423 · outbound

This paper cites Sc-uda: Style and content gaps aware unsupervised domain adaptation for object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Sc-uda: Style and content gaps aware unsupervised domain adaptation for object detection,

Reference 16

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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.

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Observation d0140e8e-dd96-4cc1-bc49-bc93d4e3abcd · outbound

This paper cites Category dictionary guided unsupervised domain adaptation for object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Category dictionary guided unsupervised domain adaptation for object detection,

Reference 17

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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.

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Observation 4d62af77-ca97-4abf-a39e-b2bb75f4ba78 · outbound

This paper cites St3d: Self-training for un- supervised domain adaptation on 3d object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising St3d: Self-training for un- supervised domain adaptation on 3d object detection,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 628c5f80-4af7-453f-8276-947cee5cd8cf · outbound

This paper cites St3d++: Denoised self- training for unsupervised domain adaptation on 3d object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising St3d++: Denoised self- training for unsupervised domain adaptation on 3d object detection,

Reference 19

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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.

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Observation 772112dd-c75d-4c8e-9d57-356380fb7156 · outbound

This paper cites Train in germany, test in the usa: Making 3d object detectors generalize,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Train in germany, test in the usa: Making 3d object detectors generalize,

Reference 20

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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.

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Observation c761b5a8-f156-48cc-98e9-cce0dffd6651 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:35:32.395058Z digest=sha256:f50b7fc69ab4bcdaa66137030015740a2c9239d053c6e4ddebaea1912d2cafdc

Observation bc6fb684-298c-4294-bee6-efc3e306c3ca · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Scalability in perception for autonomous driving: Waymo open dataset,

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:35:32.400146Z digest=sha256:735b221530e4cdb1c2c3aa62952eff3b3c3a12954b64b37f8d54ba1d7739aac0

Observation 1e6a0f24-3c71-4b68-8089-f5b871f15b05 · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising nuscenes: A multi- modal dataset for autonomous driving,

Reference 23

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no resolver link, observed 2026-08-11T17:35:32.405187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:35:32.405187Z digest=sha256:21746b5e72aac92292393023d2055fff6b1287cf08a9e60e7eb6b242f0a7e3b1

Observation 5e904ed2-8af7-4881-b9f2-5bdc1c323c31 · outbound

This paper cites Second: Sparsely embedded convolutional detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Second: Sparsely embedded convolutional detection,

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:35:32.410438Z digest=sha256:18f8a72b0e8dca526391bc55fc5812beb4e760bb2b537ad87b6ebc87ccdcbb8e

Observation 7689bdf0-8f5f-4a57-99c2-bfdcab268268 · outbound

This paper cites Dsvt: Dynamic sparse voxel transformer with rotated sets,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Dsvt: Dynamic sparse voxel transformer with rotated sets,

Reference 25

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raw_fallback, observed 2026-08-11T17:35:33.832480Z

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.

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Observation cf240c0a-6efb-455b-802d-5c5235330766 · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising V oxelnet: End-to-end learning for point cloud based 3d object detection,

Reference 26

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raw_fallback, observed 2026-08-11T17:35:33.814488Z

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.

source=pdf_text observed=2026-08-11T17:35:32.421763Z digest=sha256:bd57c1582259361a8c480643cd41213ff565df402efda6f9673b2725643ebe81

Observation 0ed3b4a4-ca96-43e7-a1b5-7a8b8b007f1f · outbound

This paper cites Se-ssd: Self-ensembling single-stage object detector from point cloud,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Se-ssd: Self-ensembling single-stage object detector from point cloud,

Reference 27

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raw_fallback, observed 2026-08-11T17:35:33.794632Z

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.

source=pdf_text observed=2026-08-11T17:35:32.426665Z digest=sha256:119546ad458670bf9e1e0591da106076741dc7b0d4c45678852b0915414ebc9a

Observation bbd84676-a806-4edd-b1f0-cccb31768971 · outbound

This paper cites Pointrcnn: 3d object proposal generation and detection from point cloud,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Pointrcnn: 3d object proposal generation and detection from point cloud,

Reference 28

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raw_fallback, observed 2026-08-11T17:35:33.765138Z

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.

source=pdf_text observed=2026-08-11T17:35:32.432048Z digest=sha256:cd3362b2f4caa5b581b0b1b626a99c4ea0d652f4ae9aa46e71f51bc4c5d1092a

Observation 35ea4ea6-96e1-461d-b214-0623d181e71e · outbound

This paper cites 3dssd: Point-based 3d single stage object detector,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising 3dssd: Point-based 3d single stage object detector,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.747468Z

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.

source=pdf_text observed=2026-08-11T17:35:32.437960Z digest=sha256:8a8f0c843c97c4198e02dc3f297f70cba5f489bb8f387a7972f31f52f9fdda84

Observation fbc83a38-0790-4acb-b98c-80f6e99613c5 · outbound

This paper cites Pv-rcnn++: Point-voxel feature set abstraction with local vector rep- resentation for 3d object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Pv-rcnn++: Point-voxel feature set abstraction with local vector rep- resentation for 3d object detection,

Reference 30

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raw_fallback, observed 2026-08-11T17:35:33.730937Z

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.

source=pdf_text observed=2026-08-11T17:35:32.442991Z digest=sha256:b068d11222c7c78b42a725cc77e593f510d991c7468a57434651272fd2d54ab5

Observation c729d6f2-944a-4dc7-b1f3-733f8e86cd48 · outbound

This paper cites Pv- rcnn: Point-voxel feature set abstraction for 3d object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Pv- rcnn: Point-voxel feature set abstraction for 3d object detection,

Reference 31

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raw_fallback, observed 2026-08-11T17:35:33.711528Z

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.

source=pdf_text observed=2026-08-11T17:35:32.448632Z digest=sha256:1a6b535f60a82f86f6362a8829643970d3bfa5f323693156fa2c138a8dd600c7

Observation 021c2eba-e5d2-4c5a-bbe9-dafa8c16d6e2 · outbound

This paper cites Structure aware single-stage 3d object detection from point cloud,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Structure aware single-stage 3d object detection from point cloud,

Reference 32

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raw_fallback, observed 2026-08-11T17:35:33.693204Z

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.

source=pdf_text observed=2026-08-11T17:35:32.453686Z digest=sha256:01eb03baf9a291ab5efa2e64e1655d491005d7e336ff6e5ff1113a9a8b33caaf

Observation 11a471dd-6c30-4f58-a321-45edcfe069f3 · outbound

This paper cites Moment matching for multi-source domain adaptation,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Moment matching for multi-source domain adaptation,

Reference 33

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no resolver link, observed 2026-08-11T17:35:32.458658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:35:32.458658Z digest=sha256:bd19685a8de851795eba5b9e7607e505d94ab08c526f5913f242ecd91c30902d

Observation 02cc6afb-720e-468f-9402-5bb70d7cfd39 · outbound

This paper cites Progressive domain adaptation for object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Progressive domain adaptation for object detection,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.662065Z

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.

source=pdf_text observed=2026-08-11T17:35:32.463789Z digest=sha256:a19b0a74371e57662e8fafd72848f6b91035b82c470643bbe44e16f7b0da9297

Observation fee13f61-a9a3-491e-9272-e8a8b40277f9 · outbound

This paper cites Progressive feature alignment for unsupervised domain adaptation,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Progressive feature alignment for unsupervised domain adaptation,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T17:35:32.468775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:35:32.468775Z digest=sha256:24af12228a1d0ecd5645c8c4bc5a0d81117858e3426b7336d6bc5bafca6c5af5

Observation 9009e6d7-5749-4b47-b0fe-4e84b8c3cb76 · outbound

This paper cites Reusing the task-specific classifier as a discriminator: Discriminator- free adversarial domain adaptation,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Reusing the task-specific classifier as a discriminator: Discriminator- free adversarial domain adaptation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.634148Z

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.

source=pdf_text observed=2026-08-11T17:35:32.473456Z digest=sha256:04c4a2a18c6d8632ecc1444e718610169e0b34d7576d975a93a21ec3cb0a4d9e

Observation 5b965642-06ad-434c-aa9d-9749be5483a5 · outbound

This paper cites Adaptive adversarial network for source- free domain adaptation,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Adaptive adversarial network for source- free domain adaptation,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.617562Z

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.

source=pdf_text observed=2026-08-11T17:35:32.478157Z digest=sha256:d338e22026c2841f90ed15d41833404d8b7402e3807393098f830e882ee3b1da

Observation 7f8e4e74-64cf-4d03-9a4f-40bda7a4e8c7 · outbound

This paper cites Deep subdomain alignment for cross-domain image classification,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Deep subdomain alignment for cross-domain image classification,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.600183Z

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.

source=pdf_text observed=2026-08-11T17:35:32.482697Z digest=sha256:d8a2f9c870920bf4ef5c692c2f226aad5b7a19b60a8652339ff70b2e6c6d27e7

Observation a2b47ec7-a682-4d9a-9079-aba6ceb8b723 · outbound

This paper cites Ad- versarial robustness for unsupervised domain adaptation,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Ad- versarial robustness for unsupervised domain adaptation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.579047Z

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.

source=pdf_text observed=2026-08-11T17:35:32.487457Z digest=sha256:ca07d11027e8882838b76515e8b67cf3cafcb6b8df394d412c33dc5fddf2a9cc

Observation b908d55d-54f8-465e-bf06-bbaaf3b33ba8 · outbound

This paper cites Gradient distribution alignment certificates better adversarial domain adaptation,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Gradient distribution alignment certificates better adversarial domain adaptation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.561823Z

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.

source=pdf_text observed=2026-08-11T17:35:32.492249Z digest=sha256:10ae97a06b17f5f08c8882e737b9e0538176acfc8125f9a7ed94f01383aa3753

Observation ff6e1376-4591-4fc3-9ef3-6f384e00e3a5 · outbound

This paper cites RDA: Robust Domain Adaptation via Fourier Adversarial Attacking.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising RDA: Robust Domain Adaptation via Fourier Adversarial Attacking

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-11T17:35:32.848706Z

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.

source=pdf_text observed=2026-08-11T17:35:32.497626Z digest=sha256:5ac7de29412470c8ad3dc0ce81bea316dba45585190f8fde768020122588cc35

Observation b9be50fd-a373-49fb-8a79-3a1dab45c783 · outbound

This paper cites Conditional adversarial domain adaptation,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Conditional adversarial domain adaptation,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.544669Z

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.

source=pdf_text observed=2026-08-11T17:35:32.503969Z digest=sha256:8a329a197f8e035f45a8c2cb2deb8cb463dc97125d11db556a38b58f8959e5c6

Observation 5866af2c-be60-42d5-bbc1-7e09f9532fdd · outbound

This paper cites Transferability vs. discrim- inability: Batch spectral penalization for adversarial domain adaptation,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Transferability vs. discrim- inability: Batch spectral penalization for adversarial domain adaptation,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.519892Z

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.

source=pdf_text observed=2026-08-11T17:35:32.509469Z digest=sha256:59c6cb77af16a443d3350acc5cf33f97d6ac87425400861f6abe850b6bd20213

Observation c312d85e-9a2d-4e7d-97fb-ba04c70d7d5b · outbound

This paper cites Simple: Similar pseudo label exploitation for semi-supervised classification,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Simple: Similar pseudo label exploitation for semi-supervised classification,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.502699Z

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.

source=pdf_text observed=2026-08-11T17:35:32.514146Z digest=sha256:e5500f6e3ee95f1529e6c5969a87d14c1a098a36adfe813aa15a8a8d452dee3d

Observation f84e9766-c81b-4db0-acc9-5cb01ee9e675 · outbound

This paper cites Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.484189Z

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.

source=pdf_text observed=2026-08-11T17:35:32.519969Z digest=sha256:4ab43fcf762a1aadeea8f30dd7605be0adc68ae44b2eb2bc4eb163ee248fec03

Observation 757611b3-c567-4fa6-80a3-d62e4a6e32dd · outbound

This paper cites Adaptive consistency regularization for semi-supervised transfer learning,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Adaptive consistency regularization for semi-supervised transfer learning,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.463280Z

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.

source=pdf_text observed=2026-08-11T17:35:32.525063Z digest=sha256:3781e0bd26bf85ad7208d63387fac221db045ccc5e8a65f4db93743601fa38f5

Observation f47cf805-e11c-4656-9bf6-16e480a7b95e · outbound

This paper cites Exponential moving average normalization for self-supervised and semi-supervised learning,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Exponential moving average normalization for self-supervised and semi-supervised learning,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.446299Z

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.

source=pdf_text observed=2026-08-11T17:35:32.530209Z digest=sha256:c56af2a3e618b7d274f9dce439c0cdc6d7522e6d77d7e5895eb900f28761a8d0

Observation 409939ab-512e-42ad-b6ff-8963629bac5d · outbound

This paper cites Fixbi: Bridging domain spaces for unsupervised domain adaptation,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Fixbi: Bridging domain spaces for unsupervised domain adaptation,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.428591Z

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.

source=pdf_text observed=2026-08-11T17:35:32.535077Z digest=sha256:3dede1f62953c55d9165271b2deab4a5453e8320b744c9fe0206c2be478898d7

Observation 69f4414f-74ce-424f-9189-c554379f0188 · outbound

This paper cites Cross domain object detection by target-perceived dual branch distillation,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Cross domain object detection by target-perceived dual branch distillation,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.383719Z

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.

source=pdf_text observed=2026-08-11T17:35:32.544992Z digest=sha256:a2d934a097018d99f5575f31c0e11783fc87b08b585eb7e3878af50a1acaf5d2

Observation 9c132d29-9773-4cd1-ba8e-dc15ca6a1b61 · outbound

This paper cites Target-relevant knowledge preservation for multi-source domain adaptive object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Target-relevant knowledge preservation for multi-source domain adaptive object detection,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.365591Z

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.

source=pdf_text observed=2026-08-11T17:35:32.550337Z digest=sha256:fef80f551cc96feaffa8e62c3d4f09d9886c1b7cff66411b8f58df9286b17576

Observation 9417ed87-33a0-42e0-816d-82032b9412c5 · outbound

This paper cites Task-specific inconsistency alignment for domain adaptive object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Task-specific inconsistency alignment for domain adaptive object detection,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.347740Z

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.

source=pdf_text observed=2026-08-11T17:35:32.555023Z digest=sha256:639643d3a6a804ffc672b00e9528885976c0cd06564d488fd066852fbc7b8722

Observation 10bb72ae-3955-4df1-b58b-7da53566cb68 · outbound

This paper cites Multi-granularity alignment domain adaptation for object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Multi-granularity alignment domain adaptation for object detection,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.329689Z

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.

source=pdf_text observed=2026-08-11T17:35:32.559864Z digest=sha256:d53eac7b3c156436b51e0b89683cba34590d0b535b610b6adddda01d7004eaef

Observation 1014504a-c836-42e4-98e1-547f602259a1 · outbound

This paper cites Sigma: Semantic-complete graph matching for domain adaptive object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Sigma: Semantic-complete graph matching for domain adaptive object detection,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.309528Z

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.

source=pdf_text observed=2026-08-11T17:35:32.565272Z digest=sha256:a926c34331d78f8d17b8575018e1223a03246d04f1dca9ea4fd6a5584e8e6118

Observation 3a37bb64-bf9b-4ac5-8eae-98bef0b37ca6 · outbound

This paper cites Integrated multiscale domain adaptive yolo,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Integrated multiscale domain adaptive yolo,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T17:35:32.570068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:35:32.570068Z digest=sha256:da0d703fc4d7c39c1df028d39fb2e530619d2723e5dd318ffaab7ea97987184f

Observation d2d1904c-7117-4ec3-bd59-12d5f84c7b23 · outbound

This paper cites Domain adaptive faster r-cnn for object detection in the wild,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Domain adaptive faster r-cnn for object detection in the wild,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.408221Z

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.

source=pdf_text observed=2026-08-11T17:35:32.575004Z digest=sha256:79447e52166a5263009491681f3727c7c52d2f60fbc9fcd9db1b05376c614b27

Observation 607713ba-d0d7-4ad0-a341-4823f225d50d · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T17:35:32.580237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:35:32.580237Z digest=sha256:63bf7e2d6de87553f5475c8af76680852205e98e0f29a589738c131151f8e066

Observation e09f0f96-f645-4f5b-aafa-43e0a2a65f16 · outbound

This paper cites Ssda-yolo: Semi-supervised domain adaptive yolo for cross-domain object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Ssda-yolo: Semi-supervised domain adaptive yolo for cross-domain object detection,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.252245Z

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.

source=pdf_text observed=2026-08-11T17:35:32.586197Z digest=sha256:e14a16afab91b0e7da7baa73316efd4fbd06c7385f1ec30c130cafa434eec1c8

Observation a9b85a64-6171-499d-8804-1c630343702d · outbound

This paper cites Instance relation graph guided source-free domain adaptive object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Instance relation graph guided source-free domain adaptive object detection,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.233231Z

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.

source=pdf_text observed=2026-08-11T17:35:32.593339Z digest=sha256:48f1109467bbcde0a5eee03b6b16d45a255a798e713e6e081cb73a0b7c82cfec

Observation ecfc96e3-364a-442c-86fa-e67e9f1588f4 · outbound

This paper cites Sf- uda 3d: Source-free unsupervised domain adaptation for lidar-based 3d object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Sf- uda 3d: Source-free unsupervised domain adaptation for lidar-based 3d object detection,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.203458Z

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.

source=pdf_text observed=2026-08-11T17:35:32.601665Z digest=sha256:5f13b7064c4aa9cb8db6bc4f26404106d22231934634e7b47a5a589a53cd3eaf

Observation 2ce7f31f-0726-4574-abc7-1a232c31faf5 · outbound

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

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Spg: Unsu- pervised domain adaptation for 3d object detection via semantic point generation,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.185915Z

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.

source=pdf_text observed=2026-08-11T17:35:32.607123Z digest=sha256:eba4b12a77d95666483581d45b696b287ea87bf2238a784d2f520f09804fad3a

Observation cbd6a2e0-a893-42e5-a525-2581b55bf712 · outbound

This paper cites Unsupervised domain adaptive 3d detection with multi-level consistency,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Unsupervised domain adaptive 3d detection with multi-level consistency,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.167116Z

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.

source=pdf_text observed=2026-08-11T17:35:32.614401Z digest=sha256:c9d46dcefe4c85aa8706a0a33c25f78fce05d78bcca9a76f1f6c805a9fdb861e

Observation 1aa6eb7a-f976-45cc-97d6-ed671373240e · outbound

This paper cites Exploiting playbacks in unsupervised domain adaptation for 3d object detection in self-driving cars,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Exploiting playbacks in unsupervised domain adaptation for 3d object detection in self-driving cars,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.146914Z

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.

source=pdf_text observed=2026-08-11T17:35:32.619449Z digest=sha256:dfdb541f34c49f38ab9575567bae059f99abcc333cd79bf5cd8bfd49e010382c

Observation d654b0f1-17b5-462e-8760-cb700910a2f2 · outbound

This paper cites See eye to eye: A lidar-agnostic 3d detection framework for unsupervised multi-target domain adaptation,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising See eye to eye: A lidar-agnostic 3d detection framework for unsupervised multi-target domain adaptation,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.126511Z

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.

source=pdf_text observed=2026-08-11T17:35:32.624596Z digest=sha256:e8428616202030360029273c8fe09a359a6f0ca5c8f9b193c7b6fd2cd5a93826

Observation 7f1b17d0-acb4-40ec-9341-4d4991aebb10 · outbound

This paper cites LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-08-11T17:35:32.818406Z

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.

source=pdf_text observed=2026-08-11T17:35:32.636890Z digest=sha256:45f1933f21d1d560cd1bb9a305d243465f537e29b9cde84539520266d6fc40a5

Observation a0eaddd2-c249-41b1-816b-044c306c1fc1 · outbound

This paper cites Cl3d: Unsupervised domain adaptation for cross-lidar 3d detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Cl3d: Unsupervised domain adaptation for cross-lidar 3d detection,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.104295Z

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.

source=pdf_text observed=2026-08-11T17:35:32.643165Z digest=sha256:e8b6e06f8d0272aae16654a3df37e6c23859c9e0024475258829390c7f6c3a6b

Observation 08f3564c-14bf-434e-a931-e3d81bb650b4 · outbound

This paper cites Density-insensitive unsupervised domain adaption on 3d object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Density-insensitive unsupervised domain adaption on 3d object detection,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.084480Z

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.

source=pdf_text observed=2026-08-11T17:35:32.649815Z digest=sha256:1e70bed0443031253802540a20fd6b0a8410835ba4fbd431c4c33da2b5c47758

Observation b1a43279-614b-41fd-9c89-17ab0e133a8a · outbound

This paper cites Adaptation via proxy: Building instance-aware proxy for unsupervised domain adaptive 3d object detection,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Adaptation via proxy: Building instance-aware proxy for unsupervised domain adaptive 3d object detection,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.065644Z

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.

source=pdf_text observed=2026-08-11T17:35:32.654964Z digest=sha256:f6d35ceab2db07f6ad8ff0a840ae811e17921841efccd863764b780cdb0ebacd

Observation 929fa60d-5f63-4222-a64f-1dfad810d8f6 · outbound

This paper cites Cadillac: Carnegie mellon university dataset,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Cadillac: Carnegie mellon university dataset,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.044472Z

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.

source=pdf_text observed=2026-08-11T17:35:32.660435Z digest=sha256:cf55e6f0c4c21e8e5cdf67e92b55112e00a3597ed357d721b24b377cc79d6d1c

Observation 67de8cff-8eb0-457a-a799-b950d95736db · outbound

This paper cites Openpcdet: An open-source toolbox for 3d object detection from point clouds.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Openpcdet: An open-source toolbox for 3d object detection from point clouds

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.024715Z

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.

source=pdf_text observed=2026-08-11T17:35:32.667123Z digest=sha256:aa0ac3ba1fafc226797c68fd257425763ec563da95a2047be89606e7ada44ec8

Observation 9c903ef8-9ce2-4863-b3eb-42c9a4393f39 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Adam: A Method for Stochastic Optimization

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-11T17:35:32.672463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:35:32.672463Z digest=sha256:ce8a15f5ae60e0d41f3b6e5e41d16b6ade0e4e01ead2cb4e88dbf0dbd0863dba

Observation 904fc77e-73fd-40e9-8e33-d6063f0595ad · outbound

This paper cites Fast, minimum storage ray-triangle inter- section,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Fast, minimum storage ray-triangle inter- section,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:33.006144Z

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.

source=pdf_text observed=2026-08-11T17:35:32.678830Z digest=sha256:c4066a59c79569fd5c6e84057436e9294e392623625a4a65c33320204b72771b

Observation 5b4e14fd-8ecf-437e-a147-dd19bb368130 · outbound

This paper cites Enhancing pseudo label quality for semi-supervised domain-generalized medical image segmentation,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Enhancing pseudo label quality for semi-supervised domain-generalized medical image segmentation,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:32.985208Z

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.

source=pdf_text observed=2026-08-11T17:35:32.684215Z digest=sha256:36bb532b68a696cb73efb08f6da651da35ccfb2c44b34241887dd622d6f2257a

Observation ef01e7b0-0e35-4428-8c99-b10a55efdac8 · outbound

This paper cites Reference- guided pseudo-label generation for medical semantic segmentation,.

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising Reference- guided pseudo-label generation for medical semantic segmentation,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:35:32.963868Z

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.

source=pdf_text observed=2026-08-11T17:35:32.690441Z digest=sha256:7fece1b2decf61d27dce31cdd34e85c607866286436a9d432451e8f63f4d522f

Pith citing papers

No inbound Pith citation observations are available.