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Paper Citation Record · LEDGER

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving

As of 21 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2501.14605.

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

pith.paper-citation-record.v1
2501.14605 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:03:54.091392Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

49 of 49 outbound references displayed

  • verified exact2
  • verified fuzzy41
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 27a793ea-d369-4379-82d0-b28e10216c04 · outbound

This paper cites Single domain generalization for lidar semantic segmentation,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Single domain generalization for lidar semantic segmentation,

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 41845884-84ac-44fa-9244-bd2d20d8d163 · outbound

This paper cites Walking your lidog: A journey through multiple domains for lidar semantic segmentation,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Walking your lidog: A journey through multiple domains for lidar semantic segmentation,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.621534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b3c2066f-bbba-4772-9ce1-34ad58d6ba3c · outbound

This paper cites 3d-vfield: Adversarial augmentation of point clouds for domain generalization in 3d object detection,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving 3d-vfield: Adversarial augmentation of point clouds for domain generalization in 3d object detection,

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation edc95e23-b39a-4c99-b022-ed9ce2811c2b · outbound

This paper cites Complete & label: A domain adaptation approach to semantic segmentation of lidar point clouds,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Complete & label: A domain adaptation approach to semantic segmentation of lidar point clouds,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.601603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 70a368dd-9c12-4b62-8275-fc6d3d06ace6 · outbound

This paper cites Domain generalization of 3d semantic segmentation in autonomous driving,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Domain generalization of 3d semantic segmentation in autonomous driving,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.591732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:53.941685Z digest=sha256:a6223efdc02e0d9e481077128ccdb53b79bd08ded10cc7f8917068d2b8d00b6d

Observation 4dab179b-09a7-4170-8a25-a0845a61ce65 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.581747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a1274bcd-1908-4721-9a03-3200bc7dae14 · outbound

This paper cites Pointnet++: deep hierarchical feature learning on point sets in a metric space,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Pointnet++: deep hierarchical feature learning on point sets in a metric space,

Reference 7

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unresolved
no resolver link, observed 2026-08-10T15:03:53.948922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:03:53.948922Z digest=sha256:1a731333e7f940ef373cdb167ed666e9e517caeaa85db39e66b3ddeedba2030e

Observation f5a8e1ca-7344-499f-a12d-d531cdd8c65f · outbound

This paper cites Randla-net: Efficient semantic segmentation of large- scale point clouds,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Randla-net: Efficient semantic segmentation of large- scale point clouds,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.564952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:53.952229Z digest=sha256:89b3c816b510c8504f5d7bfd943f4bf1e6f57f4d4e87f3554eb0c688ea856400

Observation a2b550ab-4805-4cdb-8c9c-a2dccfc698ae · outbound

This paper cites Spidercnn: Deep learning on point sets with parameterized convolutional filters,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Spidercnn: Deep learning on point sets with parameterized convolutional filters,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.554749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:53.955492Z digest=sha256:b22f5a2c0d56b349ad41b58b68417b4c45ef0dc704708869b7c8d1a9beccb0bb

Observation e68df0cf-93fa-4ee5-8633-def7665852d6 · outbound

This paper cites Kpconv: Flexible and deformable convolution for point clouds,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Kpconv: Flexible and deformable convolution for point clouds,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.545335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6c138be4-aa16-414c-8ea0-78fbade23baa · outbound

This paper cites Rangenet++: Fast and accurate lidar semantic segmentation,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Rangenet++: Fast and accurate lidar semantic segmentation,

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.535706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5f7212cb-207c-4602-8a24-a2ac25d54d23 · outbound

This paper cites Squeezesegv3: Spatially-adaptive convolution for effi- cient point-cloud segmentation,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Squeezesegv3: Spatially-adaptive convolution for effi- cient point-cloud segmentation,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.526744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:53.966445Z digest=sha256:c91ed672733db1ada563a936521cf3bd25a80b682ac9b130ecc576cc3d25e5f6

Observation a73f446d-b343-438d-b777-857f12384a7a · outbound

This paper cites Cenet: Toward concise and efficient lidar semantic segmentation for autonomous driving,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Cenet: Toward concise and efficient lidar semantic segmentation for autonomous driving,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.518177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:53.970493Z digest=sha256:c0e48d4bc96292c5bd1b8db103883f83443a06d8de35ff793479e9bba5c2d3b6

Observation 85f2dc6a-9e1e-4f5b-bfcc-afdd6fb3fdc4 · outbound

This paper cites Polarnet: An improved grid representation for online lidar point clouds semantic segmentation,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Polarnet: An improved grid representation for online lidar point clouds semantic segmentation,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.508962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:53.974075Z digest=sha256:1a7b7d1ddc81326f369979901c993a555989e9cdbd1dfdefa4dad4c35e2e8016

Observation 7b41c1f2-d5ff-49e4-b716-87f6862df799 · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving 4d spatio-temporal convnets: Minkowski convolutional neural networks,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.499249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:53.977542Z digest=sha256:e11046ccdf666087ceddbdab9cb5dc22df34817870a9c4fbcfce955f55732677

Observation 94726514-f5c4-4549-a6fb-94d4fe5050be · outbound

This paper cites Cylindrical and asymmetrical 3d convolution networks for lidar segmentation,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Cylindrical and asymmetrical 3d convolution networks for lidar segmentation,

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:53.981105Z digest=sha256:57a87dcd5359714e8caa63c5a6c87bc86ff73b11edf5a35f77173f9ed0b3d275

Observation 0893b90b-e1c3-40ea-89f3-63f698104bda · outbound

This paper cites Search- ing efficient 3d architectures with sparse point-voxel convolution,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Search- ing efficient 3d architectures with sparse point-voxel convolution,

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:53.984366Z digest=sha256:4fe0176f3e8297bdab0b64a80c33b1a118dcfc2ba2a776c4d84abf9c9a84678b

Observation 69475b8d-2fc2-49f5-ba2d-f4096dba33c8 · outbound

This paper cites ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:53.987308Z digest=sha256:abe490e209e038d3ccf4dd667c8ee76c56e0fe56844b324518f5559e55c16307

Observation 7ac210c4-e939-43b6-a655-d8ba48bf0d0b · outbound

This paper cites Spsequencenet: Semantic segmentation network on 4d point clouds,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Spsequencenet: Semantic segmentation network on 4d point clouds,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.468053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:53.991041Z digest=sha256:75746f5342407fae43e0263a67c5a29e6ed8cf9d4eed77643a7aec2b43723064

Observation 587038e5-3bcd-4a83-b1fd-763ed057670f · outbound

This paper cites Lidar-based recurrent 3d semantic segmentation with temporal memory alignment,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Lidar-based recurrent 3d semantic segmentation with temporal memory alignment,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.458324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:53.993999Z digest=sha256:7e5b490ed4a1aa9b84b3f6c2a1017b1a3647056dc0f9405a456c201b4e945d2f

Observation debac559-b4b1-40a3-8922-1ea7de2cf18f · outbound

This paper cites Meteornet: Deep learning on dynamic 3d point cloud sequences,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Meteornet: Deep learning on dynamic 3d point cloud sequences,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.449423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:53.996883Z digest=sha256:59b14cc2af48d2202c2978b716e0e1fd7afa263b1ffae30ff2e7ea747f70dbb4

Observation f140f87b-52dc-4bba-b97e-f7a5a72fb2f1 · outbound

This paper cites Pstnet: Point spatio-temporal convolution on point cloud sequences,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Pstnet: Point spatio-temporal convolution on point cloud sequences,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.440043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:53.999759Z digest=sha256:3739d3d3daa15668c096fa248db1b4ef751f65bff8e6aa5400d98dd9041571a1

Observation 98acf064-f348-4af2-a195-c640e4b58f2b · outbound

This paper cites Online segmentation of lidar sequences: Dataset and algorithm,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Online segmentation of lidar sequences: Dataset and algorithm,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.429388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.003000Z digest=sha256:7e3e63b1f36ea71f291ff31ca3ae655054df5160e44cc0680d9f936a439b4c58

Observation 5bc3713a-d8c3-4445-8bee-632ce939ae9a · outbound

This paper cites 4d panoptic lidar segmentation,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving 4d panoptic lidar segmentation,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.418388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.006171Z digest=sha256:788acd3f5cddf5d5d33e0eb7d7841b56efb785ef820684ec552c0c9c8c3f5947

Observation 65f3f6fa-13f2-4d33-9e68-a15c6f19f7ea · outbound

This paper cites 4d-stop: Panoptic segmentation of 4d lidar using spatio-temporal ob- ject proposal generation and aggregation,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving 4d-stop: Panoptic segmentation of 4d lidar using spatio-temporal ob- ject proposal generation and aggregation,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.406719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation af6edb0e-3b55-46ee-8e30-044380ea55a5 · outbound

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

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Generalizing to unseen domains: A survey on domain generalization,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.396767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.012413Z digest=sha256:0a164b6a304561a1a0ab112d220ea7011845d7d244e759b119429a5adfdc1e2a

Observation eb2d251a-64d4-4010-a4f8-96c97b942832 · outbound

This paper cites Domain general- ization: A survey,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Domain general- ization: A survey,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.386253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.015794Z digest=sha256:1d619e03fb665647afb01d61d919ff92d550d7582de7ab76b1813faf803ea471

Observation 4de537e5-fb0c-47b9-908a-b5591def5be3 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T15:03:54.019560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:03:54.019560Z digest=sha256:6c029efd02dde94040034ad0e70a9e0c8004dbc29556f18fce74047e984e2eab

Observation 74496138-2c44-45ec-9097-a8648055fdca · outbound

This paper cites Domain generalization by solving jigsaw puzzles,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Domain generalization by solving jigsaw puzzles,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.371103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.022891Z digest=sha256:771ec0d0f703bb5c2f0947c14aa8adec3aff6b6f93311618e6ea83970a2a4b5d

Observation c7516c99-8170-4722-81e1-029018a26492 · outbound

This paper cites Generalizing to unseen domains via adversarial data augmentation,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Generalizing to unseen domains via adversarial data augmentation,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T15:03:54.026309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:03:54.026309Z digest=sha256:6ab37602d3b5f5ebfd6a64ff63d2b5e505f1709ebffd2338630a7ae988ae256a

Observation 089c11ef-067d-4d04-b413-69af95695870 · outbound

This paper cites Two at once: Enhancing learning and generalization capacities via ibn-net,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Two at once: Enhancing learning and generalization capacities via ibn-net,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.355948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.029693Z digest=sha256:8622b12e4c5a40d1a8669362804ad1004899a7fdb0dcdfa51514db9671402b24

Observation 195b3b90-c998-4bce-90cb-a74d625998a2 · outbound

This paper cites Domain generalization using a mixture of multiple latent domains,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Domain generalization using a mixture of multiple latent domains,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.346083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.033165Z digest=sha256:e5f27c85986e21d762a569840cb4b3d7ab3117f32e3519dca6bc9a10b4e00c12

Observation db2306a8-a78a-4094-98a2-f2bc4e5eb679 · outbound

This paper cites 3d adversarial augmentations for robust out-of-domain predictions,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving 3d adversarial augmentations for robust out-of-domain predictions,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.336431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.036775Z digest=sha256:132c29ee0e3df59c6fc40d35a98beb3cdd19a54f7ccba6a0e1acccaa8161e735

Observation 28a7393f-4b7b-4e98-bf79-b1b639f0524e · outbound

This paper cites Cola: Coarse-label multi- source lidar semantic segmentation for autonomous driving,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Cola: Coarse-label multi- source lidar semantic segmentation for autonomous driving,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.325416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.040228Z digest=sha256:c4a7e41c88523db422e6e0c473c033f6c69c9745c36c261a74a70847bdc22ace

Observation 2018ceee-a690-44f2-ba0c-90ba5e683c6e · outbound

This paper cites Mdt3d: Multi-dataset training for lidar 3d object detection generalization,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Mdt3d: Multi-dataset training for lidar 3d object detection generalization,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.314608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.043669Z digest=sha256:ccf0bae395d3655f3883795da9c16b8c67e7958588857f9ad3921218e6bb4066

Observation d76da2d0-2ee3-49bc-996f-1cc394eb333e · outbound

This paper cites Benchmarking the Robustness of LiDAR Semantic Segmentation Models.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Benchmarking the Robustness of LiDAR Semantic Segmentation Models

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:03:54.141268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.047518Z digest=sha256:2fbc59a9f748bf93d1308332d9b7771ac8fc7ac0bd360543f03600e2eebed4b6

Observation a0bac8e6-f673-44fb-b4ec-51fbc9df710b · outbound

This paper cites Semantickitti: A dataset for semantic scene understanding of lidar sequences,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Semantickitti: A dataset for semantic scene understanding of lidar sequences,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.303058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.050865Z digest=sha256:94e35fabf7d1db5ac4e4c9a48951395ed8053e1871ac0ccf89460a69c1d15548

Observation 869c0c6e-b87a-45da-b5f2-72f5d8224fe4 · outbound

This paper cites Learning to generalize: Meta-learning for domain generalization,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Learning to generalize: Meta-learning for domain generalization,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T15:03:54.053939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:03:54.053939Z digest=sha256:71df54da6a61e994c9d5d4db77676db033b95c5fa68bd4a0c8f62476030b2361

Observation aff166b7-7d3c-457c-848a-f0f54b8b3861 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving nuscenes: A multimodal dataset for autonomous driving,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.286525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.057136Z digest=sha256:93974cad5fc2729e005eef5ccea5d0b05a8385821e9255baad4b5364e597f8b7

Observation 668b395c-868a-4e4c-9561-2c3c0787204a · outbound

This paper cites Semanticposs: A point cloud dataset with large quantity of dynamic instances,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Semanticposs: A point cloud dataset with large quantity of dynamic instances,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.275732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.060230Z digest=sha256:ab716cac71695dc9de032446490c2a429f70a556a04949736a7c7b6c488afa2f

Observation 0d92de7b-4527-4357-81dc-10aff811bade · outbound

This paper cites Pandaset: Advanced sensor suite dataset for autonomous driving,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Pandaset: Advanced sensor suite dataset for autonomous driving,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.264795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.063373Z digest=sha256:fb0e6f4f35e931e1a0e7eb82be8aa32c38c0369a516eaf2e82a25d63129a77bc

Observation 475563f4-bfee-4b5e-9fc4-fc362b4c1054 · outbound

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

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Scalability in perception for autonomous driving: Waymo open dataset,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.253348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.066458Z digest=sha256:905452f67c2ecdfd9e54bed54e3ad99a3b5347fa2c75c8a266fcfe6ab3622258

Observation 688fed17-6b36-421f-842a-db16b3405ad8 · outbound

This paper cites Paris- luco3d: A high-quality target dataset for domain generalization of lidar perception,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Paris- luco3d: A high-quality target dataset for domain generalization of lidar perception,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.240028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.069671Z digest=sha256:278aaac02121252d47a8138b986b86411518048f8ec13864cf1bc6a6af272732

Observation e3a3dd7e-32c5-4847-8a34-59e8ef268018 · outbound

This paper cites Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Squeezeseg: Convolutional neural nets with recurrent crf for real-time road-object segmentation from 3d lidar point cloud,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.223035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.073198Z digest=sha256:2566e41316ca67fbae5c158aea8e81aeb8e6e60a70a5189ab26ca13142546c70

Observation 1dc4f209-9d50-46e5-8fe1-bd3d7b046ce0 · outbound

This paper cites Carla: An open urban driving simulator,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Carla: An open urban driving simulator,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T15:03:54.076386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:03:54.076386Z digest=sha256:de7859fa7bd24a2d227e1a42e0f791bce07e0b929a67de3ba724247bf7f8b231

Observation 8009d490-93b6-4987-8ce6-568441f7f149 · outbound

This paper cites KITTI-CARLA: a KITTI-like dataset generated by CARLA Simulator.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving KITTI-CARLA: a KITTI-like dataset generated by CARLA Simulator

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T15:03:54.079926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:03:54.079926Z digest=sha256:d5e5a950f4876cdb6b18722b6f2c6e698a03e0b14c96a2c38870477e0cc776af

Observation a37cc502-f299-4cd5-8fa3-48522e824541 · outbound

This paper cites Transfer learning from synthetic to real lidar point cloud for semantic segmentation,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Transfer learning from synthetic to real lidar point cloud for semantic segmentation,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.192507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.083893Z digest=sha256:c519fedfa47fec0131913ecc12e02f1f61a9e3bda8714ff826ccbd7622e7b334

Observation 9693afad-5a1f-4204-aeb6-0aba6cdd5050 · outbound

This paper cites Compositional semantic mix for domain adaptation in point cloud segmentation,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Compositional semantic mix for domain adaptation in point cloud segmentation,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.180062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.087501Z digest=sha256:ffb2be51773db3fe454ec9ec957145832499f5bec5b023033ea2e8c002521131

Observation 63d4990e-ab06-4bee-b2ff-dce384c8da1f · outbound

This paper cites Ct-icp: Real-time elastic lidar odometry with loop closure,.

3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving Ct-icp: Real-time elastic lidar odometry with loop closure,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:03:54.168829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T15:03:54.091392Z digest=sha256:3be2c46a469d757e8f4e7673455495da40e4fc49e8f4ea79e18df76c4c42c08f

Pith citing papers

No inbound Pith citation observations are available.