Pith. sign in

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 2026-08-15T06:32:42.880941+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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:32:16.778599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.134530Z digest=sha256:d2e733839eb82283f1f816e1434e1db599b088ca0daed4ea6a07c5dd596e3a1c

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.137973Z digest=sha256:405f16c237380b45250922c8ba770104dd2becca2e8295cfafdd56a22986076f

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

Resolution
verified exact
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.140886Z digest=sha256:99413c21c35beffd238b3f7b1a2de5e19de40c96e56f2429661e0620020eb4ba

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.144140Z digest=sha256:0bc84a70b274accb73874dc108aefc6cee8dcdc7fc49cf4aa8a90af249842c3a

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.147100Z digest=sha256:24b40c7bc96415ddad3ad48b271b2f6fbee35e6f70ab259e8755b0c14d449990

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
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.150108Z digest=sha256:86808ddefe4f10e91482bf61563670e51ae5206a07472e769853892c6ac5f7c8

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
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=sha256:37c78c4aaee4461b012dfd6599ed7513ee6932709759cd57fbbb6bba9932a429

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.157247Z digest=sha256:47bf14da289b46054577f1f0be4522d97da0213e816df0ab1f9272bf4a1d2f0e

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.160082Z digest=sha256:bb7d8df38e3e20a1171289a7525c5c2dc822f842185e1fad6231ae9a539265d7

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

Resolution
verified exact
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.163031Z digest=sha256:e6de74201f20bf7f60477d34529a35880201b84cc47079238572b0b10f728474

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.166034Z digest=sha256:6431122507d87284dc99c88978a478db73e4513797337055a7ef4f73875278e5

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
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.168681Z digest=sha256:b2dfc566e6a12d99f80437e316280cdab1e6f94a2c34a70ce327349451d709ea

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
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.171200Z digest=sha256:6e9dbfcdbaf725420fb9a1669b3ba76e0ab5fdc94c61978e492563ebcf5f6820

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
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.174048Z digest=sha256:120dcbecdb37188ff6be92ab2c4c2114f731e95ec5e44e46dc0063b75755d81a

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
verified exact
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.176656Z digest=sha256:58252964746f3d8220a86f53737dc1561706f367ad12c4866de745d4fb5050b4

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
verified fuzzy
raw_fallback, observed 2026-08-05T16:32:16.684092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.179423Z digest=sha256:d5a6b46145f18e1adead6c7ab02484408225fd4c1c84ad7c463f3383c2849322

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
verified fuzzy
raw_fallback, observed 2026-08-05T16:32:16.675702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.182231Z digest=sha256:83506ad99d9d52a7b4a13dcd854de9d2d2cf28f6003485ea3d04d0dd36ef6ba9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.184838Z digest=sha256:d357ad91fef9a566f33bb970ae1593e0621fc2501a6ed8bf9ced8b4d6a51f171

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.187801Z digest=sha256:dc8d2afbd5e888557fa8cd21849f3b5afa020165aae87318df94347cd5791799

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.190589Z digest=sha256:76f5f654ec749215783c6f75f70fa55505891258ce04afa7d3dc68ddb627f5c8

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.193311Z digest=sha256:28add74cc737f087c480d733924d225607c3a93b221a72933dbe28703808971a

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
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.196164Z digest=sha256:fd7fd715763247f5bd370ddbff2cfdfe3df079bdac4dd2ae1f6077cc44fed716

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.198935Z digest=sha256:7893017bf5778b60d83bf98c2944ca5bf3d18d733d209d76666ef3010475d0e1

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.201797Z digest=sha256:2b444279ab238f56695b3bcef098b163a05d87d36f0a8f9ec900fe3c9fbce8b5

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
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.204738Z digest=sha256:43a21b676127f499f889afa568b97f521158cf0c8a1882799c9bcf51d0f6860b

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.207557Z digest=sha256:a5a72d2e2c02d21aaf40047bcc62bf3d1d540dfc5f49f933d8ae0bef80af8a7f

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.210422Z digest=sha256:299521ce4318cab90b631eed955cca463f7946bbcb2e7e0608cc08413336ce76

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
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.213143Z digest=sha256:e53942cfcabd5ac5459e9f4d3f8fdfc04e4e514ff53caf80d2a318390065abe8

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
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.216157Z digest=sha256:c2fd270c0ff1d5f23e658ce56014dbff605f3b9384d4869ef8741ce85f71b2be

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
unresolved
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
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.222225Z digest=sha256:6ee3ccd7c60fd30d4c1d7556295bcb164bca632193b549fac2f0c40f03f62cb7

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
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.224940Z digest=sha256:2cef5949dfd2ec6307a262a6241d9cffcf758d65dce18aaa91c048004e0a7715

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
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.227850Z digest=sha256:c40c7f15ff120a10443921bb0b900834020da2246402db1369c78e0f68fd3a98

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.230768Z digest=sha256:d7253c3333c2d5336356243d0d3748dabd4e07783f47bdef18c9b65df7878457

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.233520Z digest=sha256:07e3f9926a77d0d78544693591debe5e0774884ab697cce48b38aa194c5bb1dc

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.236327Z digest=sha256:3d283db23c1f05c682102cf1c4417fb8f2ac22e8e92e9577228939b1b4f11ee4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.239115Z digest=sha256:8b8b58d50f67206e3e2fcd3e46062cc1556251b84ac7a911d51d1d582fca6d11

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.242088Z digest=sha256:368f1874d15b1e2c18f9778a7cc9f99a51d3ce486a97273fe206d3b6a356732c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.244927Z digest=sha256:ae7608600f6e7aa37ba1bcaea6280b95722b75b61feac70623885e80b5b09f15

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.247972Z digest=sha256:f34310dae783ddb8e51eb5b32530f81b5c7627f9dc7b199dd882ba9d7ed11bf3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.250758Z digest=sha256:683986562105a4b66fdbccc616c00deb8866be0580af8fef09d8b404880d1608

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T16:32:16.253582Z digest=sha256:15827a38a1e94bd4d49184efa068b17b1fce9114599a25656769200037e94efb

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T01:30:45.543640Z digest=sha256:9b63473a45a56fd01434bdab0c0b66c02dfda307d1712b0fd86da4a4468e24e8

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