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Paper Citation Record · LEDGER

Automatic Labelling & Semantic Segmentation with 4D Radar Tensors

As of 22 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2501.11351.

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

pith.paper-citation-record.v1
2501.11351 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:25:15.433852Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0b95c0ae-5770-4b8b-a70c-89e8adaf400e · outbound

This paper cites Multi-sensor fusion in automated driving: A survey,.

Automatic Labelling & Semantic Segmentation with 4D Radar Tensors Multi-sensor fusion in automated driving: A survey,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-10T18:25:15.666669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T18:25:15.362394Z digest=sha256:2afe2fd855e287dec9a5047e4ec99b16b501c92add85c5d54159075f827b842d

Observation e6743cc7-a474-40f7-bc06-2ca374508264 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Automatic Labelling & Semantic Segmentation with 4D Radar Tensors Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 2

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unresolved
no resolver link, observed 2026-08-10T18:25:15.367328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:25:15.367328Z digest=sha256:ac43a76c3c6bd01abcb02f7a09e25b3b441d40a93d556585bf7d9e051c667590

Observation 63850a99-1fba-4b10-9299-be8cf59ad403 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Automatic Labelling & Semantic Segmentation with 4D Radar Tensors An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 3

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unresolved
no resolver link, observed 2026-08-10T18:25:15.371966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:25:15.371966Z digest=sha256:36bd18187d24aeef48daf49780c1540060e97e728f1cfe32d347cc91e4fcdda9

Observation 0f645498-550c-4f5d-87bf-6c1c5fd4d08a · outbound

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

Automatic Labelling & Semantic Segmentation with 4D Radar Tensors Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 4

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unresolved
no resolver link, observed 2026-08-10T18:25:15.376716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:25:15.376716Z digest=sha256:a4f4be471e08626f57e74d0ec8411c1890c79d0a34f9c8d1ccb88894781d347e

Observation 7744c413-9302-4ce3-bc90-5eba7eefa51d · outbound

This paper cites Point transformer,.

Automatic Labelling & Semantic Segmentation with 4D Radar Tensors Point transformer,

Reference 5

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unresolved
no resolver link, observed 2026-08-10T18:25:15.381167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:25:15.381167Z digest=sha256:fc33fcb12672c4ab243fcda19fd5a93752563a6c3f0879e65b68d6d4d7901154

Observation df8d5ad7-0307-43d9-8172-49b66fa5d54f · outbound

This paper cites A deep automotive radar detector using the radelft dataset,.

Automatic Labelling & Semantic Segmentation with 4D Radar Tensors A deep automotive radar detector using the radelft dataset,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:25:15.634512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T18:25:15.385479Z digest=sha256:579e1ab553b04312446affbfe1914e8159ea9280252be8775f0d8726ddeec43e

Observation 8b12a539-8c6b-4735-8d5d-c900a3178dbf · outbound

This paper cites Autolabeling & semantic segmentation with 4d radar tensors,.

Automatic Labelling & Semantic Segmentation with 4D Radar Tensors Autolabeling & semantic segmentation with 4d radar tensors,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:25:15.619751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T18:25:15.390308Z digest=sha256:f31da9b693c29fa458991c22a02bfbd0ef4f9fc913fda8f94b41fb5031281d59

Observation 70670a78-f6ef-43f3-93da-97f473c5c299 · outbound

This paper cites From points to parts: 3d object detection from point cloud with part-aware and part-aggregation network,.

Automatic Labelling & Semantic Segmentation with 4D Radar Tensors From points to parts: 3d object detection from point cloud with part-aware and part-aggregation network,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:25:15.604819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T18:25:15.394542Z digest=sha256:f3c0862abd8d317d815fc1589406484369e5d5efe63d33a2600cfa2275e75589

Observation 60f20410-82ca-4476-bb46-693cc7d8f024 · outbound

This paper cites Vision meets robotics: The kitti dataset,.

Automatic Labelling & Semantic Segmentation with 4D Radar Tensors Vision meets robotics: The kitti dataset,

Reference 9

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unresolved
no resolver link, observed 2026-08-10T18:25:15.398764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:25:15.398764Z digest=sha256:cd4e56528eb0daee8bb4951282c91937259069db2e303804419378ee857088dd

Observation cd04b784-4975-41d3-837f-36435f46feed · outbound

This paper cites Patchwork++: Fast and robust ground segmentation solving partial under-segmentation using 3D point cloud,.

Automatic Labelling & Semantic Segmentation with 4D Radar Tensors Patchwork++: Fast and robust ground segmentation solving partial under-segmentation using 3D point cloud,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:25:15.581610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T18:25:15.403313Z digest=sha256:e977c75436ab66cea1852601390611c3e7f40f9b8654ecff87009d90a5e8d6f7

Observation 56e4334d-ae46-45b3-9a71-78a5f399044c · outbound

This paper cites Oneformer: One transformer to rule universal image segmentation,.

Automatic Labelling & Semantic Segmentation with 4D Radar Tensors Oneformer: One transformer to rule universal image segmentation,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:25:15.567510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T18:25:15.407767Z digest=sha256:4973ea80167983615f2570f5ca4fdd90de03f28fdcb5112539144dc06327148d

Observation cc0bdeab-dfe8-4d69-8eba-40008706e147 · outbound

This paper cites A joint extrinsic calibration tool for radar, camera and lidar,.

Automatic Labelling & Semantic Segmentation with 4D Radar Tensors A joint extrinsic calibration tool for radar, camera and lidar,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:25:15.553359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T18:25:15.412103Z digest=sha256:7f1d6f1e233601080372f83d482f668638b403bbf3904d0f8984041d5f966d0a

Observation 7f98ba2b-938b-46e1-9e7c-f81888bcb9c3 · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise,.

Automatic Labelling & Semantic Segmentation with 4D Radar Tensors A density-based algorithm for discovering clusters in large spatial databases with noise,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T18:25:15.416443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:25:15.416443Z digest=sha256:04a29f482717439a60b54a4f9599788ee3cfc21cc7788036f1d2071c041d6535

Observation 7fccfff1-e58f-4422-8735-3208f8616a1a · outbound

This paper cites Feature pyramid networks for object detection,.

Automatic Labelling & Semantic Segmentation with 4D Radar Tensors Feature pyramid networks for object detection,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T18:25:15.420852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:25:15.420852Z digest=sha256:8cb46efecf0b99358195b9ba3da6023a425960d7e2e22cc0e22a82839b029bd1

Observation 5f1429d2-9392-4f9b-a695-1219611cd213 · outbound

This paper cites 3d u-net: learning dense volumetric segmentation from sparse annotation,.

Automatic Labelling & Semantic Segmentation with 4D Radar Tensors 3d u-net: learning dense volumetric segmentation from sparse annotation,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:25:15.521194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T18:25:15.424943Z digest=sha256:d92f7d176f6adce086a34393fc26c8d63856d10cfbda51b72939fbbd0d5e469b

Observation 3cc83361-6a1d-403b-95e5-40000bf313d4 · outbound

This paper cites See further than cfar: a data-driven radar detector trained by lidar,.

Automatic Labelling & Semantic Segmentation with 4D Radar Tensors See further than cfar: a data-driven radar detector trained by lidar,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:25:15.506291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T18:25:15.429416Z digest=sha256:f3fefe51c4a49e0e5c973a44be22cf3e0d3f0e7e7299a1c0b4897773c6c18377

Observation 4447002e-94f8-4649-9e9a-7be9da7c39dd · outbound

This paper cites K-radar: 4d radar object detection for autonomous driving in various weather conditions,.

Automatic Labelling & Semantic Segmentation with 4D Radar Tensors K-radar: 4d radar object detection for autonomous driving in various weather conditions,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T18:25:15.433852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:25:15.433852Z digest=sha256:ef408def41c280be5ab5848ae8a7a8cdb710df6b119a44abb5049d3ac09bfd22

Pith citing papers

No inbound Pith citation observations are available.