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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.137973Z digest=sha256:80b2a665c63cc50cd0bcdd03c14b05b9a61d6506b5dac9a114cf0fae4a332757

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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local_arxiv, observed 2026-08-05T16:32:16.399399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.140886Z digest=sha256:b49ebdd63f9e32d7d3c9b9b90baff66affd4a90868a6519f1d327e6c27f38f21

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.144140Z digest=sha256:4b0e7468f51e46d471ec2bb4e2d319d346fe8bf7b95bbfe8ce0707daec599235

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.147100Z digest=sha256:80a258d2b4c96794c4caf8c9f2185cfc0167b6c2bd8c29898d4ff6fa5b4b1731

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

Resolution
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.150108Z digest=sha256:b7a041aaffd2e83ad7145ce15b4cebb346f1017c1d20f6dcd074fb6f7661878b

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

Resolution
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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=sha256:37c78c4aaee4461b012dfd6599ed7513ee6932709759cd57fbbb6bba9932a429

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.157247Z digest=sha256:c1a4309f6d3e66040a725e786b00777212c447c08769033d78ead2cd80bca90c

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.160082Z digest=sha256:00a3efa92e8fff6eed1fbd7574a348d44fc1ca6bcbd99f961de1ec3f78ba755d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.163031Z digest=sha256:59e23579fda30e110c138825e78e48fb736a05b02d88f16e203baa99b3a6f140

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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raw_fallback, observed 2026-08-05T16:32:16.717762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.166034Z digest=sha256:815dd9d4f23ff66e89278262d8107e9e9698086b29246add6ce545f523bcfd72

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.168681Z digest=sha256:ffef8d2573487e4e30847c7d42c99b09914cfeaf71691d2daadbf51ee2f3fd81

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.171200Z digest=sha256:5e1ab505b3689ca47efb4faf4eb614015aa3a29cd3ee95f84592c00eff668fb1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.174048Z digest=sha256:ac164fccebdd522e409ee13223873d87ca9d6005f662bc2b136a2114c5bf8387

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.176656Z digest=sha256:a0ba2c6a0d626aadb0b6eb159bf2724dce9b46daa3d58c51c040a5703b09f4bb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.179423Z digest=sha256:70cbc35912ce7f1967bc5e9aecb11b1844ee7f483a246d2526ae812c84739e98

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.182231Z digest=sha256:0e30844ba498a00e089c8fcf5860cc4f409abdc32519060c1ff33e05872d6d9a

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
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.184838Z digest=sha256:91eed34c54f5965fb99a9ff8eaf5d083a4fcebbc983afb1b531d7cc920259b2f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.187801Z digest=sha256:379944b626fd4b43c53a7461ebd8ffa819dd64942f7963f48b379e1952c66768

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.190589Z digest=sha256:c5038e8d993f6057648cc7f73cbb94bbaa927c02f83ad27913f36c3ad5c9b7f3

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.193311Z digest=sha256:72e230d75dd28bc931e2b865b0affbd18572e1e807c557528d90d10c203990f8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.196164Z digest=sha256:3c40a3b3f54a4f1e8ade5e2e778d3f3b3fc09ef96fbb8de01221003f3846d58e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.198935Z digest=sha256:51cddddd4ed0c014c349280b478c4bfd1e19d2e96f7350170f095408680a3daf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.201797Z digest=sha256:8a1ab72317b0dd8eb8ca8f0fa0b5b74606cd11800a22bf9bd621a5db7efeab5e

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

Resolution
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.204738Z digest=sha256:90c3fc888810ee95abc174b2ab5090579fcc8a09005bfa461293b4b8d8ba2d61

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.207557Z digest=sha256:5670c3c0a7581f630015df1f9e8d7d83a8fd692f1c263d7ad7b51fdbcef880ad

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.210422Z digest=sha256:5526a2049ab1a2133976dc14d3c123c5c3cdca8a938acfc8a33f959ee9e88eeb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.213143Z digest=sha256:cffd1dd0884f30bd397ef49dc97b20f3ad79e20ebc7e2f1dfcf00cd37b602f20

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.216157Z digest=sha256:4be321d1aaa87075d033675600146a72c985d825ed54a46ff2ebbe1e603041b0

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:e42218c85fe264b6dc178ca08d3b75f12e18f0292dba766726027e7325695668

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.222225Z digest=sha256:efc8e33e56ebcd999d2d21a7d6a90b17b82a78a32b3309c4c8e1da5020a66938

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

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raw_fallback, observed 2026-08-05T16:32:16.562953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.224940Z digest=sha256:250502f7c3df19a1ae1e47d9170bbc19f25439a36863aa87ab8b8cbabb20c33e

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.227850Z digest=sha256:aff865d746a5a0c39c4ddbf072f9da0dffef041c2336e673aeaa720ffcd1d4d2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.230768Z digest=sha256:c3103a4f031af25714a0be198f0ce363253cafb7f0c26fe0dbf8ed077086b849

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.233520Z digest=sha256:d8127fb1b3bd53d379277cfec226229a4b1093168bffc44681a9cbb484d74e95

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.236327Z digest=sha256:985cae51746d8169886dea3014be253d8e358a3cc67b18f843a56f7423d63c88

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.239115Z digest=sha256:fe523031ab18b3a3847ccbbe84a20c8b6b44273218e75af1f4b43298c09d0559

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.242088Z digest=sha256:5c311df0823e6815ee7539a5892d797cf48e388dbc76ed644cb6dbbd2f9da319

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.244927Z digest=sha256:812a45da5ed06f8da8dd05d931206b5dae689f9e859c273604a8b5b63380edb1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.247972Z digest=sha256:5c3cf15e6f5565ea6aa6112861d52b526395c0801446077a298c37f27c3a7f02

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.250758Z digest=sha256:150ee58e393f2764e9031c5ab2f558d1753739c0b7ec57ea93cf36f6b1a867c7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T16:32:16.253582Z digest=sha256:eb5745040ba946f7113888d965c046ae5429f2c2b8ea03105ab09c798698f6b7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T01:30:45.543640Z digest=sha256:6c0152743930ba3ab5aad24980a7c7e0d4212d33d3edc31275e5858251614fa3

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:d6b3b3fa282d2a1398b8b19e5961b1ee69315d7e71afc1005a1051022c5a1d55