Pith. sign in

Paper Citation Record · LEDGER

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor

As of 10 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2502.06114.

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

pith.paper-citation-record.v1
2502.06114 v3

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:48:05.272657Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy15
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e024c58-124e-4039-be21-adb57234ea87 · outbound

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

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T16:48:05.039611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:48:05.039611Z digest=sha256:ab4c7722079b1aed876cfd182f8adf519ae68369d1fb70edc49736372faeea8d

Observation 845f8aae-1ab0-4c54-a8d0-bc5b386eec6a · outbound

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

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor nuscenes: A multimodal dataset for autonomous driving,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-08T16:48:05.042588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:48:05.042588Z digest=sha256:91d69966becf6af93cf02d93afd3086e22e0f5aa05da18c374299fa3866ec965

Observation 1052ddc4-d636-4979-9f0d-6b836fb83ec7 · outbound

This paper cites Robustness of object detectors in degrading weather conditions,.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor Robustness of object detectors in degrading weather conditions,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:05.572825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:05.045360Z digest=sha256:8e9a885b275dfdb2d623f589c04b1412548b2a9f5add182022a473bc36bd7056

Observation e67965f9-0b06-40f3-871d-c0aab5e9a948 · outbound

This paper cites A benchmark for lidar sensors in fog: Is detection breaking down?.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor A benchmark for lidar sensors in fog: Is detection breaking down?

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:05.562744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:05.048098Z digest=sha256:068ca49cddc612bd36e038db740d3a469c6a1c6708441e6c0a90cb6e6877cfb8

Observation 1dcc8241-0012-49fb-a275-182edcf83b20 · outbound

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

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor Multi- class road user detection with 3+ 1d radar in the view-of-delft dataset,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:05.553783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:05.050845Z digest=sha256:5c51f0b816e58e93eac6ee59b1995795f2b2377f46a88216f1afc7e4f5592432

Observation 26e78aed-7d50-45d7-bab9-9f1d279e86e2 · outbound

This paper cites Tj4dradset: A 4d radar dataset for autonomous driving,.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor Tj4dradset: A 4d radar dataset for autonomous driving,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:05.520066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:05.053627Z digest=sha256:c45f03a6bd404ce8f1e9d4b36ea881280b097deaa7c4b0f0fb9eec84f65b5cbf

Observation 004d9591-2e4f-4138-9775-b400ee2d6c03 · outbound

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

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor K-radar: 4d radar object detection for autonomous driving in various weather conditions,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:05.476156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:05.056567Z digest=sha256:14a3df2d7269abbb9e1af9dab4238790249ba910c58342617ddb8b457741dd7f

Observation b711b914-07e7-47b9-9491-c457f765e8ee · outbound

This paper cites Rpfa-net: A 4d radar pillar feature attention network for 3d object de- tection,.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor Rpfa-net: A 4d radar pillar feature attention network for 3d object de- tection,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:05.432941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:05.067054Z digest=sha256:cc4be63ded0de0043c290cfd40802e9b8add73297cdb15aae5e91932459bfacf

Observation 7eb3d4ae-71ed-4b93-8361-7f9f92a0e231 · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds,.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor Pointpillars: Fast encoders for object detection from point clouds,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T16:48:05.105961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:48:05.105961Z digest=sha256:d6e17642f2465ef447a20ecd316b0f14a47b4ba637cba1c31d70c0c190d59960

Observation 3e59c15a-ccaf-46cf-abf8-6b6621fa2f45 · outbound

This paper cites Smurf: Spatial multi-representation fusion for 3d object detection with 4d imaging radar,.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor Smurf: Spatial multi-representation fusion for 3d object detection with 4d imaging radar,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:05.395006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:05.116996Z digest=sha256:7aa04438f0da6828a78a47b9e8cbe4241c2ad3d36e4b4d99e8ac13ee5d690ca7

Observation f3170b6e-be97-45bb-b405-61c601d7adbd · outbound

This paper cites Mvfan: Multi-view feature assisted network for 4d radar object detection,.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor Mvfan: Multi-view feature assisted network for 4d radar object detection,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:05.386096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:05.132425Z digest=sha256:98639f7cdcfb9dda7e3e41827fb0211cb860c999416a1b1b21787932bcc02b86

Observation 829f0bc4-f26d-4b6c-a06b-6a201912ecca · outbound

This paper cites Smiformer: Learning spatial feature representation for 3d object detection from 4d imaging radar via multi-view interactive transformers,.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor Smiformer: Learning spatial feature representation for 3d object detection from 4d imaging radar via multi-view interactive transformers,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:05.377624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:05.169055Z digest=sha256:c4642e7bd3bafea007f1370f02e32f8f24d5244089fb69e8af3d6b65ba43c91e

Observation 18209063-aee0-460f-8d47-825b034919ab · outbound

This paper cites Raw high-definition radar for multi-task learning,.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor Raw high-definition radar for multi-task learning,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:05.360061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:05.212610Z digest=sha256:a0d2fe4572b6450708e67a4922712a34acff8aa0b7eb39d778ae03d2a7ccac5f

Observation 273d39e0-44b4-42b6-8a70-0e9db9525d3e · outbound

This paper cites ADCNet: Learning from Raw Radar Data via Distillation.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor ADCNet: Learning from Raw Radar Data via Distillation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T16:48:05.227995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:48:05.227995Z digest=sha256:4b0135cc16e32c67242cd54ce76dc2a5e463679b4d4fded279eb9d0984530461

Observation 43668f30-1edc-43cb-82ba-7e9dbaf8a62b · outbound

This paper cites T-fftradnet: Object detection with swin vision transformers from raw adc radar signals,.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor T-fftradnet: Object detection with swin vision transformers from raw adc radar signals,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-08T16:48:05.243837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:48:05.243837Z digest=sha256:019238e419f038da437550a3c2d492159547648a0716b2a4afb7117b9f7a18ec

Observation 2e6d4cd4-d4fb-41c3-899c-45f68c2273ae · outbound

This paper cites Dpft: Dual perspective fusion trans- former for camera-radar-based object detection,.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor Dpft: Dual perspective fusion trans- former for camera-radar-based object detection,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:05.346537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:05.253984Z digest=sha256:2775988d6ca4fd3be1c39bdd871f710bea9afb06ee5801a6ff836c070790e682

Observation 0344f5ca-f0fd-401c-9c05-809d63ea3fdd · outbound

This paper cites Rtnh+: Enhanced 4d radar object detection network using two-level preprocessing and vertical encoding,.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor Rtnh+: Enhanced 4d radar object detection network using two-level preprocessing and vertical encoding,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:05.337703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:05.256842Z digest=sha256:e9b51463b1fd8c1ba85c18c87d49bb42c4b3999387d3a134408d32ff752ebf79

Observation b883900a-2f39-487b-9156-d4fc1e02085d · outbound

This paper cites Attention is all you need,.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor Attention is all you need,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-08T16:48:05.259411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:48:05.259411Z digest=sha256:108094c1cb9e92f85d68c0fb08dafb9af3a56e3423b4e6fe46f917d9ded80094

Observation 0932d931-b0d9-46e6-99ee-b3f098d8ebad · outbound

This paper cites Enhanced k-radar: Optimal density reduction to improve detection performance and accessibility of 4d radar tensor-based object detection,.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor Enhanced k-radar: Optimal density reduction to improve detection performance and accessibility of 4d radar tensor-based object detection,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:05.324206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:05.262060Z digest=sha256:931ac7b04f45188c497dbfe992f2dac08fd822a34fa39092d201db3ba9b704da

Observation d28e59d5-81cb-4bd6-9bee-cecbf9378b97 · outbound

This paper cites 3-d object detection for multiframe 4-d automotive millimeter-wave radar point cloud,.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor 3-d object detection for multiframe 4-d automotive millimeter-wave radar point cloud,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:05.368405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:05.264661Z digest=sha256:e65fdea8584aa6f257b354a28f805dcb9db895fa96dfd44ebf72174ac4f836bf

Observation d52c21d1-640a-46d7-a574-ce1d9ed1ddda · outbound

This paper cites Rcfusion: Fusing 4-d radar and camera with bird’s-eye view features for 3-d object detection,.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor Rcfusion: Fusing 4-d radar and camera with bird’s-eye view features for 3-d object detection,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-08T16:48:05.267553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:48:05.267553Z digest=sha256:6d4949285c7a3f6bb42a61849398166f145f77fc26362d3a634d97d486b85a63

Observation e5d2746a-23ab-4380-8623-4fae58c6522a · outbound

This paper cites Deformable {detr}: Deformable transformers for end-to-end object detection,.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor Deformable {detr}: Deformable transformers for end-to-end object detection,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T16:48:05.270087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:48:05.270087Z digest=sha256:069da2ea667a929d819e2a7b41818f7535d23550394d2838fc6c4286b633d09f

Observation cc763ef9-35a2-4248-9391-bb17ca82f928 · outbound

This paper cites Sparse2dense: Learning to densify 3d features for 3d object detection,.

Enhanced 3D Object Detection via Diverse Feature Representations of 4D Radar Tensor Sparse2dense: Learning to densify 3d features for 3d object detection,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:48:05.305495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T16:48:05.272657Z digest=sha256:72e742e2fd8b4e3adfaf2cb5df1ff8aa7666e229b92467405812144a11fffbdf

Pith citing papers

No inbound Pith citation observations are available.