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Paper Citation Record · LEDGER

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance

As of 21 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:2508.18506.

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

pith.paper-citation-record.v1
2508.18506 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:32:16.253582Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:08:22.454237Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-18T01:32:17.479890Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact4
  • verified fuzzy36
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 18b10d5a-3c85-4389-be1c-c7b27092884b · outbound

This paper cites Union: Unsupervised 3d object detection using object appearance-based pseudo-classes,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Union: Unsupervised 3d object detection using object appearance-based pseudo-classes,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 34b706dc-3286-4406-a9f9-25b92401e7a1 · outbound

This paper cites Ratrack: moving object detection and tracking with 4d radar point cloud,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Ratrack: moving object detection and tracking with 4d radar point cloud,

Reference 2

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raw_fallback, observed 2026-08-05T16:32:16.769739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ddb936c3-2fe4-411c-8b6f-83747e255e57 · outbound

This paper cites SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 471c3786-9ffd-4e3d-a9b7-451ef938fc5d · outbound

This paper cites Ofmpnet: Deep end-to-end model for occu- pancy and flow prediction in urban environment,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Ofmpnet: Deep end-to-end model for occu- pancy and flow prediction in urban environment,

Reference 4

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raw_fallback, observed 2026-08-05T16:32:16.761332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.144140Z digest=sha256:ca3ddf1cd873d81c493dce07fa755390408a1f6acca2f8d5412bfcb3b180851b

Observation c1abb082-7fb0-4a88-86f2-85f347aca1e8 · outbound

This paper cites Scalable scene flow from point clouds in the real world,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Scalable scene flow from point clouds in the real world,

Reference 5

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raw_fallback, observed 2026-08-05T16:32:16.752801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.147100Z digest=sha256:ff58de12cc4f381ebf1dfbb5ea6d44717a027a3ddbeb0cadef4f8ea01e6aed9c

Observation 62d09e51-8c9b-4686-937b-a7907bf6d3d5 · outbound

This paper cites DeFlow: Decoder of scene flow network in autonomous driving,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance DeFlow: Decoder of scene flow network in autonomous driving,

Reference 6

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raw_fallback, observed 2026-08-05T16:32:16.743994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.150108Z digest=sha256:d04dcda76594d7a11424231110bed427ad8be552191b08a720b4bb1f8fde8ac7

Observation 995820c0-c7a5-458b-92a4-9d7e180b736e · outbound

This paper cites SSF: Sparse Long-Range Scene Flow for Autonomous Driving.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance SSF: Sparse Long-Range Scene Flow for Autonomous Driving

Reference 7

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unresolved
no resolver link, observed 2026-08-05T16:32:16.154137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:32:16.154137Z digest=sha256:f91dedf39ba13942edf5c45f0b3ca69da579c36d4db86ba8238c8e32d5b5cd3a

Observation 7721c0b4-bd54-4449-83ea-7a28036c33ae · outbound

This paper cites Flow4d: Leveraging 4d voxel network for lidar scene flow estimation,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Flow4d: Leveraging 4d voxel network for lidar scene flow estimation,

Reference 8

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raw_fallback, observed 2026-08-05T16:32:16.735299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.157247Z digest=sha256:937d4e06d938a5dda5989096e1ff390684945b960691cf0d63298e2063c560d1

Observation 514e401a-2fa2-45a3-980b-dbfc2fd585f3 · outbound

This paper cites Towards long-range 3d object detection for autonomous vehicles,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Towards long-range 3d object detection for autonomous vehicles,

Reference 9

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raw_fallback, observed 2026-08-05T16:32:16.726350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation adb89007-be5e-47e9-9d44-ca6a136f0b92 · outbound

This paper cites ZeroFlow: Scalable Scene Flow via Distillation.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance ZeroFlow: Scalable Scene Flow via Distillation

Reference 10

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local_arxiv, observed 2026-08-05T16:32:16.379552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d3895c8a-2ffa-4ed1-8f33-7152f3520029 · outbound

This paper cites Neural eulerian scene flow fields,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Neural eulerian scene flow fields,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f94e47bc-d472-4af0-a7b3-0afaea393f76 · outbound

This paper cites Neural scene flow prior,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Neural scene flow prior,

Reference 12

Resolution
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raw_fallback, observed 2026-08-05T16:32:16.709184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.168681Z digest=sha256:ebdebf4cccc58d8b4745364e0b5771943419531ea80c0850ed58f0b618aa9bb5

Observation db9cb2d0-5853-4ee7-8007-89f17a701402 · outbound

This paper cites SeFlow: A self-supervised scene flow method in autonomous driving,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance SeFlow: A self-supervised scene flow method in autonomous driving,

Reference 13

Resolution
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raw_fallback, observed 2026-08-05T16:32:16.700764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.171200Z digest=sha256:b378dc6ab06df1cb0946973d10e6a310a42f0b963444c3a8ea843e66fecd7d1b

Observation 000806e0-dfd0-4a0d-9134-5ac5bd04bfba · outbound

This paper cites Just go with the flow: Self-supervised scene flow estimation,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Just go with the flow: Self-supervised scene flow estimation,

Reference 14

Resolution
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raw_fallback, observed 2026-08-05T16:32:16.692391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.174048Z digest=sha256:950d1eb2cd8c90c0df028b8697afee48d71479bc87766b697c69027e0c65965c

Observation 78b29cca-20d1-4fb7-9a20-af3feeff920e · outbound

This paper cites HiMo: High-speed objects motion com- pensation in point cloud,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance HiMo: High-speed objects motion com- pensation in point cloud,

Reference 15

Resolution
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raw_fallback, observed 2026-08-05T16:32:16.368355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.176656Z digest=sha256:d9362cc6b05fbf37126d02cbf1e5ac5452355c8f523fc67d065d130dce6c3e50

Observation 202bd85a-2d21-4bad-98d7-0af67edfa1a8 · outbound

This paper cites Self-supervised pillar motion learning for autonomous driving,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Self-supervised pillar motion learning for autonomous driving,

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.179423Z digest=sha256:734690e0512ba04c831ad3943ebab4098fe9fab7b0e3029d45ca5526b533f6df

Observation 050749d8-e94b-4285-b1b8-660246d8a86b · outbound

This paper cites 3-d scene flow estimation on pseudo-lidar: Bridging the gap on estimating point motion,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance 3-d scene flow estimation on pseudo-lidar: Bridging the gap on estimating point motion,

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation aa37ceba-bcb9-4b47-83fb-2411b0e5b431 · outbound

This paper cites Floxels: Fast Unsupervised Voxel Based Scene Flow Estimation.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Floxels: Fast Unsupervised Voxel Based Scene Flow Estimation

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:32:16.292740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 33f743be-69a9-481a-a472-1cd0f9ad11f8 · outbound

This paper cites Survey on lidar perception in adverse weather conditions,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Survey on lidar perception in adverse weather conditions,

Reference 19

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raw_fallback, observed 2026-08-05T16:32:16.667243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.187801Z digest=sha256:96399c7babc76523fefd36b196f986c603b3729a0df99de3f1eced04a0efb26e

Observation 9bcadbfa-f64e-4956-b808-8569d40c93ba · outbound

This paper cites A scalable and accurate de-snowing algorithm for lidar point clouds in winter,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance A scalable and accurate de-snowing algorithm for lidar point clouds in winter,

Reference 20

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raw_fallback, observed 2026-08-05T16:32:16.658455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3292e454-e929-47c8-a5b5-c38a1b85d310 · outbound

This paper cites Lisnownet: Real- time snow removal for lidar point clouds,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Lisnownet: Real- time snow removal for lidar point clouds,

Reference 21

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raw_fallback, observed 2026-08-05T16:32:16.649892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.193311Z digest=sha256:0a268535e1adbe943172febb070d1003b3f3398ae8901802a0c8dd9c085b64b6

Observation 3088721b-b180-4bb6-81e7-f6ee935fd22a · outbound

This paper cites Self-supervised scene flow estimation with 4-d automotive radar,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Self-supervised scene flow estimation with 4-d automotive radar,

Reference 22

Resolution
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raw_fallback, observed 2026-08-05T16:32:16.641044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.196164Z digest=sha256:500449926a9dd13cbb9bb7175c93b071202bccd50e38c5297e1135d20e6b5fa0

Observation b4e85445-572d-4d22-a3b0-e737c3d0aca1 · outbound

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

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance nuscenes: A multimodal dataset for autonomous driving,

Reference 23

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raw_fallback, observed 2026-08-05T16:32:16.632423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.198935Z digest=sha256:49b07afc1bb8ccb07387b900982e315f123d099ab8107a7a2a361303d59f37f0

Observation cb122d1b-2ca1-4a80-8257-4bb7c0e11e66 · outbound

This paper cites Argoverse 2: Next generation datasets for self- driving perception and forecasting,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Argoverse 2: Next generation datasets for self- driving perception and forecasting,

Reference 24

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raw_fallback, observed 2026-08-05T16:32:16.623842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.201797Z digest=sha256:23d84624f08e9c14ff81bc823f5221a032fc6ca27680f32dc59d4c5d64993cd1

Observation 04db4c15-4cfd-400b-9c6f-536c435b0c5b · outbound

This paper cites Man truckscenes: A multimodal dataset for autonomous trucking in diverse conditions,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Man truckscenes: A multimodal dataset for autonomous trucking in diverse conditions,

Reference 25

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raw_fallback, observed 2026-08-05T16:32:16.615327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.204738Z digest=sha256:1426b4f0eb7368bdd693dc87961a875f95e15d113e8bc60d1c0c286d676951ac

Observation 602e7251-3253-448a-8336-47e59666a48c · outbound

This paper cites Icp-flow: Lidar scene flow estimation with icp,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Icp-flow: Lidar scene flow estimation with icp,

Reference 26

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raw_fallback, observed 2026-08-05T16:32:16.606637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.207557Z digest=sha256:e78f506a6695216c4f6643eedb2c2edd596e1ed15d315b825ec4d65c0fdc7ecf

Observation 58cdc397-6583-4765-847d-5b262dc4c09a · outbound

This paper cites Fast neural scene flow,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Fast neural scene flow,

Reference 27

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raw_fallback, observed 2026-08-05T16:32:16.598256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.210422Z digest=sha256:b0ecd7846f1badee362ca07935afe9a51c4de07ad9cd5c185fc0ddd6783b5a6f

Observation 5e431f36-9ff4-4ee5-89b9-cef4c734edfc · outbound

This paper cites Rigidflow: Self-supervised scene flow learning on point clouds by local rigidity prior,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Rigidflow: Self-supervised scene flow learning on point clouds by local rigidity prior,

Reference 28

Resolution
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raw_fallback, observed 2026-08-05T16:32:16.588903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.213143Z digest=sha256:e87e2fca8ff57380e9cd104ad27295f8bbbd1f7ae8ffa3efb6aca565144e8098

Observation 86e22752-f73c-4432-8dcb-ef952752f179 · outbound

This paper cites Dufomap: Efficient dynamic awareness mapping,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Dufomap: Efficient dynamic awareness mapping,

Reference 29

Resolution
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raw_fallback, observed 2026-08-05T16:32:16.580206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.216157Z digest=sha256:315a1dc01326fcf3cf358fc87944e90626994f78f86ff601c4f02b9dde59d476

Observation dda0f5b3-21a1-4e51-b66d-a56cc9d40420 · outbound

This paper cites EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

Reference 30

Resolution
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no resolver link, observed 2026-08-05T16:32:16.219012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:32:16.219012Z digest=sha256:71f70672213773665ab9241c38ffea1a8b090a631a8631993b4b0554b118413d

Observation d7491e77-f1d1-40f3-ab7f-3ef26a038be8 · outbound

This paper cites Full-velocity radar returns by radar-camera fusion,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Full-velocity radar returns by radar-camera fusion,

Reference 31

Resolution
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raw_fallback, observed 2026-08-05T16:32:16.571815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.222225Z digest=sha256:461675cbc596e97394d6dcbcf3a91750c526c311719f1b11a81bd2d6822033ec

Observation 902aff58-4e7d-451d-9a3b-9040f1a43a46 · outbound

This paper cites Hidden gems: 4d radar scene flow learning using cross-modal supervision,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Hidden gems: 4d radar scene flow learning using cross-modal supervision,

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.224940Z digest=sha256:5bbfeb58062e7ffa5c92ed29e461cdac30118b895df3e049e023f47e029a35c6

Observation b825cf3c-56e0-442d-8bab-0ff31075f382 · outbound

This paper cites Kiss-icp: In defense of point-to-point icp–simple, accurate, and robust registration if done the right way,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Kiss-icp: In defense of point-to-point icp–simple, accurate, and robust registration if done the right way,

Reference 33

Resolution
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raw_fallback, observed 2026-08-05T16:32:16.554101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.227850Z digest=sha256:378af7aac2b6acdb3bf6f82edaf5ce5688aaf375152bb92a3c494af4dd41618b

Observation 6dd276b1-235c-4574-ae72-2aadce88f68f · outbound

This paper cites Cfar-based interference mitigation for fmcw automotive radar systems,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Cfar-based interference mitigation for fmcw automotive radar systems,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:32:16.545261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.230768Z digest=sha256:846c7bff38818abc55a100017f624aab3dfbf98c8c229e8076e7a12f65cb326c

Observation 7247fe44-2c86-4519-a5eb-2af99766b898 · outbound

This paper cites Mcrb on doa estimation for automotive mimo radar in the presence of multipath,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Mcrb on doa estimation for automotive mimo radar in the presence of multipath,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:32:16.536770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.233520Z digest=sha256:13d10a24fe680861c62e3e344f7429eebf1aad8f9910cfa373cff5aaebfef0b3

Observation 6ad1301e-0205-433f-a150-827b39d66e9c · outbound

This paper cites Fast rule-based clutter detection in automotive radar data,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Fast rule-based clutter detection in automotive radar data,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:32:16.528286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.236327Z digest=sha256:d28e9927bc4aadb09abaa6cc333c59b7de978a2c34d4a99e8ad2432000000625

Observation cdaf8e11-93c2-4639-b145-9c0a1fcd3581 · outbound

This paper cites hdbscan: Hierarchical density based clustering.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance hdbscan: Hierarchical density based clustering

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:32:16.519720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.239115Z digest=sha256:04bea6e2d1d510531c90e6fae0fafe8596890802869aba42286420b72166dfe4

Observation 7ca4ceae-4cd4-4647-a4d7-36776686f316 · outbound

This paper cites Fully sparse 3d object detection,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Fully sparse 3d object detection,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:32:16.510693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.242088Z digest=sha256:3aeffa4a0c768949195e4bf33b9d04c0bbeba328decc407becc5bb1a4c3a67f6

Observation aec9e2c5-39ce-41ee-a361-d28178554d5a · outbound

This paper cites A subspace, interior, and con- jugate gradient method for large-scale bound-constrained minimization problems,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance A subspace, interior, and con- jugate gradient method for large-scale bound-constrained minimization problems,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:32:16.502179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.244927Z digest=sha256:dae7211b6b628f25cebbc8f636d16e200b63b61cb238c8360e862f9d0575d10e

Observation 746a2ca3-472e-4a21-a353-ae61d2d2a1d1 · outbound

This paper cites Groundgrid: Lidar point cloud ground segmentation and terrain estimation,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Groundgrid: Lidar point cloud ground segmentation and terrain estimation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:32:16.493370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.247972Z digest=sha256:efee97c6f6ec165fab0284b1d5c155ea9223ba598f10fc26616443799d9c8251

Observation ee24b76f-5f3a-46d7-b7d9-4832d900286c · outbound

This paper cites The pascal visual object classes challenge: A retrospective,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance The pascal visual object classes challenge: A retrospective,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:32:16.484441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.250758Z digest=sha256:a12f3f4a01b0d21ced5bc55fb4db27afba7ef088e4f7e6ae6e1faa96f683b005

Observation f4b8fc10-4cd4-4fd0-aeae-245b590aa734 · outbound

This paper cites Re-evaluating lidar scene flow,.

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance Re-evaluating lidar scene flow,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:32:16.408057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T16:32:16.253582Z digest=sha256:7175960c1b7fa5ab22c7f73d5a608c8f7daf0770eee76fed3ce829d0359d231d

Pith citing papers

Observation 8183c03c-e78b-4a60-be04-0558b07261d4 · inbound

CaRLi-V: Camera-RADAR-LiDAR Point-Wise 3D Velocity Estimation cites this paper.

CaRLi-V: Camera-RADAR-LiDAR Point-Wise 3D Velocity Estimation DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:32:17.482446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T01:30:45.543640Z digest=sha256:2b060e41a5df6471542e96689623311351edae429375bdced59f3b7845e621dc

Observation 8d05cd7b-582e-4515-b52d-c29d0dd4a1bb · inbound

STAR-VLM: Spatiotemporal Grounding Vision-Language Models for Motion and Velocity Estimation via Automotive Radar Supervision cites this paper.

STAR-VLM: Spatiotemporal Grounding Vision-Language Models for Motion and Velocity Estimation via Automotive Radar Supervision DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T00:08:22.454237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:08:22.454237Z digest=sha256:2a93767e5d8648e408f0e3733686e90c9b1acb3561c0437608c790d9ce2d6ec8