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Paper Citation Record · LEDGER

KDMOS:Knowledge Distillation for Motion Segmentation

As of 13 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2506.14130.

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

pith.paper-citation-record.v1
2506.14130 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:23:15.673759Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

28 of 28 outbound references displayed

  • verified exact2
  • verified fuzzy21
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f734673-993b-44f1-a249-e9cbb22baf26 · outbound

This paper cites MF-MOS: A Motion-Focused Model for Moving Object Segmentation.

KDMOS:Knowledge Distillation for Motion Segmentation MF-MOS: A Motion-Focused Model for Moving Object Segmentation

Reference 2

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verified exact
local_arxiv, observed 2026-08-07T00:23:16.077449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ff3a2860-1496-497e-aab8-4c9db2180247 · outbound

This paper cites Slim: Self-supervised lidar scene flow and motion seg- mentation,.

KDMOS:Knowledge Distillation for Motion Segmentation Slim: Self-supervised lidar scene flow and motion seg- mentation,

Reference 3

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raw_fallback, observed 2026-08-07T00:23:18.866552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 27161443-3d57-4d02-86fe-26f38ecffc53 · outbound

This paper cites Ssf-mos: Semantic scene flow assisted moving object segmentation for autonomous vehicles,.

KDMOS:Knowledge Distillation for Motion Segmentation Ssf-mos: Semantic scene flow assisted moving object segmentation for autonomous vehicles,

Reference 4

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raw_fallback, observed 2026-08-07T00:23:18.850284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4c688619-32f8-40dc-9b35-c96eb67973bc · outbound

This paper cites Self-supervised learning of lidar segmentation for autonomous indoor navigation,.

KDMOS:Knowledge Distillation for Motion Segmentation Self-supervised learning of lidar segmentation for autonomous indoor navigation,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation c46052cf-cd0b-4020-bc52-999ad13e09ff · outbound

This paper cites Moving object segmentation in 3d lidar data: A learning-based approach exploiting sequential data,.

KDMOS:Knowledge Distillation for Motion Segmentation Moving object segmentation in 3d lidar data: A learning-based approach exploiting sequential data,

Reference 6

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source=pdf_text observed=2026-08-07T00:23:14.171946Z digest=sha256:ace589b3f76d4d4055a7f5ab9615e869bd76d08280be54fe778aecfea0291b40

Observation 58d77048-6fd8-4f3f-a2ef-383ba65236c0 · outbound

This paper cites Efficient spatial-temporal information fusion for lidar-based 3d moving object segmentation,.

KDMOS:Knowledge Distillation for Motion Segmentation Efficient spatial-temporal information fusion for lidar-based 3d moving object segmentation,

Reference 7

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raw_fallback, observed 2026-08-07T00:23:18.806373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation c3eb5570-6a5b-4cd9-935f-7cf350d0b348 · outbound

This paper cites Motionbev: Attention- aware online lidar moving object segmentation with bird’s eye view based appearance and motion features,.

KDMOS:Knowledge Distillation for Motion Segmentation Motionbev: Attention- aware online lidar moving object segmentation with bird’s eye view based appearance and motion features,

Reference 8

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raw_fallback, observed 2026-08-07T00:23:18.790553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:23:14.303897Z digest=sha256:322c02e4b22b819989fc1cd34097baa16dc9f1febc830f37c691c491bb6832b2

Observation 28353714-5613-4156-bbf3-050f10b58fa8 · outbound

This paper cites Receding moving object segmentation in 3d lidar data using sparse 4d convolutions,.

KDMOS:Knowledge Distillation for Motion Segmentation Receding moving object segmentation in 3d lidar data using sparse 4d convolutions,

Reference 9

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raw_fallback, observed 2026-08-07T00:23:18.774531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f1639b57-d5c7-4192-bb63-8d2e90d4eede · outbound

This paper cites Insmos: Instance-aware moving object segmentation in lidar data,.

KDMOS:Knowledge Distillation for Motion Segmentation Insmos: Instance-aware moving object segmentation in lidar data,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 00ebef45-8a46-4398-8ed3-10b931a865bb · outbound

This paper cites Mambamos: Lidar-based 3d moving object segmentation with motion-aware state space model,.

KDMOS:Knowledge Distillation for Motion Segmentation Mambamos: Lidar-based 3d moving object segmentation with motion-aware state space model,

Reference 11

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raw_fallback, observed 2026-08-07T00:23:18.737233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:23:14.513833Z digest=sha256:ced98346b6fad274e2f2a53ea5151c0f8e601615e9912271d193c18dff537272

Observation a190313f-1161-4d55-a0d3-64d27bc87aed · outbound

This paper cites Distilling the Knowledge in a Neural Network.

KDMOS:Knowledge Distillation for Motion Segmentation Distilling the Knowledge in a Neural Network

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7f1176c0-4911-454a-afdf-0ef5bf445ae1 · outbound

This paper cites Point-to-voxel knowl- edge distillation for lidar semantic segmentation,.

KDMOS:Knowledge Distillation for Motion Segmentation Point-to-voxel knowl- edge distillation for lidar semantic segmentation,

Reference 13

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raw_fallback, observed 2026-08-07T00:23:18.530102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0cbbcea5-98d5-4624-bd13-8af7eb54b0d3 · outbound

This paper cites Knowledge distillation from 3d to bird’s-eye-view for lidar semantic segmenta- tion,.

KDMOS:Knowledge Distillation for Motion Segmentation Knowledge distillation from 3d to bird’s-eye-view for lidar semantic segmenta- tion,

Reference 14

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raw_fallback, observed 2026-08-07T00:23:18.276664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0fb921d2-6a6f-44f0-8ddd-5cb50056e2aa · outbound

This paper cites 2dpass: 2d priors assisted semantic segmentation on lidar point clouds,.

KDMOS:Knowledge Distillation for Motion Segmentation 2dpass: 2d priors assisted semantic segmentation on lidar point clouds,

Reference 15

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raw_fallback, observed 2026-08-07T00:23:18.053217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 63ac7725-ec3f-45a2-a63e-90dd508d99b3 · outbound

This paper cites Decoupled knowledge distillation,.

KDMOS:Knowledge Distillation for Motion Segmentation Decoupled knowledge distillation,

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 29be64c0-61fa-4cba-abd6-7b6add523c84 · outbound

This paper cites L3-net: Towards learning based lidar localization for autonomous driving,.

KDMOS:Knowledge Distillation for Motion Segmentation L3-net: Towards learning based lidar localization for autonomous driving,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 63061d67-47c0-4046-b2e1-43ac666f28eb · outbound

This paper cites On the efficacy of knowledge distilla- tion,.

KDMOS:Knowledge Distillation for Motion Segmentation On the efficacy of knowledge distilla- tion,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:23:15.161712Z digest=sha256:6654f8952a79c44ecd26e758d46b10ee78dca6c702de30c7ee558d07a021a747

Observation 6cbcd6e3-64ba-4d5b-bc81-c030674f8a3a · outbound

This paper cites Improved knowledge distillation via teacher assis- tant,.

KDMOS:Knowledge Distillation for Motion Segmentation Improved knowledge distillation via teacher assis- tant,

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:23:15.182445Z digest=sha256:2fe2623186d3f978d677ea4d938c57bb30d7cc43af3da2cc0c3bf9059ea5d89b

Observation c56d2fca-e286-44c8-acc2-617a3583af9f · outbound

This paper cites Cv-mos: A cross-view model for motion segmentation,.

KDMOS:Knowledge Distillation for Motion Segmentation Cv-mos: A cross-view model for motion segmentation,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-07T00:23:17.419043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 266c2d0b-a1db-49bc-9e79-d8de9093e65c · outbound

This paper cites Learning to upsample by learning to sample,.

KDMOS:Knowledge Distillation for Motion Segmentation Learning to upsample by learning to sample,

Reference 21

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raw_fallback, observed 2026-08-07T00:23:17.264501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 674bbe25-11b4-4b5a-9211-c298b383cdd4 · outbound

This paper cites LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation.

KDMOS:Knowledge Distillation for Motion Segmentation LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation

Reference 22

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local_arxiv, observed 2026-08-07T00:23:15.904903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:23:15.241080Z digest=sha256:3647b99e8daff1701e967553fd4426eb2eaa5023d162faa65e794cc4d390a65e

Observation d0b89646-1b24-4379-8c40-dc932000fbd7 · outbound

This paper cites Cylindrical and asymmetrical 3d convolution networks for lidar segmentation,.

KDMOS:Knowledge Distillation for Motion Segmentation Cylindrical and asymmetrical 3d convolution networks for lidar segmentation,

Reference 23

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raw_fallback, observed 2026-08-07T00:23:17.164117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:23:15.259524Z digest=sha256:d4d0b6f7aceb66d9a5f2687aa3527b4e4571f457bae228b070308662b2664762

Observation bd9611d9-0eb6-4a58-a57c-3e854bcdcffa · outbound

This paper cites Rvmos: Range-view moving object seg- mentation leveraged by semantic and motion features,.

KDMOS:Knowledge Distillation for Motion Segmentation Rvmos: Range-view moving object seg- mentation leveraged by semantic and motion features,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:23:15.285020Z digest=sha256:667a8f86f70600f8c9f76b4bd7d79e8f8d43bbaaef3344bd6e1a6a507c01cda1

Observation df171bee-9413-4f42-86cd-da0c85d909ef · outbound

This paper cites Semantickitti: A dataset for semantic scene un- derstanding of lidar sequences,.

KDMOS:Knowledge Distillation for Motion Segmentation Semantickitti: A dataset for semantic scene un- derstanding of lidar sequences,

Reference 25

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raw_fallback, observed 2026-08-07T00:23:16.660984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:23:15.311176Z digest=sha256:84a08f709134a708512215222c3f8e9330d2bb2d139bff395bc8109241aa8911

Observation b812fda7-50a0-4c95-bb3a-b48dafe068e0 · outbound

This paper cites The pascal visual object classes (voc) challenge,.

KDMOS:Knowledge Distillation for Motion Segmentation The pascal visual object classes (voc) challenge,

Reference 26

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no resolver link, observed 2026-08-07T00:23:15.368194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:23:15.368194Z digest=sha256:818b38aa1c067c01d0a25f0a176ea8e8847d09ad18e0d0a1270147db2fe105e4

Observation 6e567ffd-c3d7-4ab5-89e0-8720bfa7063a · outbound

This paper cites Automatic labeling to generate training data for online lidar-based moving object segmentation,.

KDMOS:Knowledge Distillation for Motion Segmentation Automatic labeling to generate training data for online lidar-based moving object segmentation,

Reference 27

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raw_fallback, observed 2026-08-07T00:23:16.472011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:23:15.483121Z digest=sha256:92a6e08b4fbb7b68daf40ba9df5a16333cbdb1eb906a84650636cec8bbf5875e

Observation a988b667-be4b-460d-8800-0c2042458ced · outbound

This paper cites Logit standardization in knowledge distillation,.

KDMOS:Knowledge Distillation for Motion Segmentation Logit standardization in knowledge distillation,

Reference 28

Resolution
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raw_fallback, observed 2026-08-07T00:23:16.265967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T00:23:15.595379Z digest=sha256:a8ef1d8eccf50dd4dcf4bee06c2871813087fe20a272e8b9586c146984bbafe0

Observation 6952c459-42b4-46fe-afc9-f376306b9259 · outbound

This paper cites One-for-all: Bridge the gap between heterogeneous architectures in knowledge distillation,.

KDMOS:Knowledge Distillation for Motion Segmentation One-for-all: Bridge the gap between heterogeneous architectures in knowledge distillation,

Reference 29

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no resolver link, observed 2026-08-07T00:23:15.673759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:23:15.673759Z digest=sha256:504b4faec07d77d86a06783a5681efdef3cb5912f49440870e509edb3a812704

Pith citing papers

No inbound Pith citation observations are available.