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Paper Citation Record · LEDGER

KDMOS:Knowledge Distillation for Motion Segmentation

As of 12 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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:13.970333Z digest=sha256:99325cdd6699b2c69853d143fc1be5c1c2e31e37eafca12b168165feac2e2e02

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:14.047000Z digest=sha256:882fa471249f52d90af425ec660865552dc98531e9d85c8e924de354b0223abb

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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raw_fallback, observed 2026-08-07T00:23:18.832570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:14.122210Z digest=sha256:2cc107a8f9460ccf76e60162c6e460504d8d494bcca2f4de7d20651eae583148

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-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:14.171946Z digest=sha256:c810d19540212192443f2bdea5d0e2b1741020a85d2717a3298d3642467cbcc3

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:14.235450Z digest=sha256:3fcb7c6a2e3f112240a1eaa8415945c4f6e68f54e8294808b9ab558b35cc6847

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:14.303897Z digest=sha256:5dc3ab8ae1112fc6c1f3c2cdda518e257a1fb8ced87ef0df1e7e80e091dae52b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:14.371164Z digest=sha256:c2f090c9ecde8ac8f30a13879f762c30021918c3f77a8d2cdeb18242b072569d

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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:14.513833Z digest=sha256:6ebe155be6529091fd35eb511ea6604b976bb16492ac82bbfda4462dc2da6b84

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.

source=pdf_text observed=2026-08-07T00:23:14.565830Z digest=sha256:3369dffa31b09103f24dd0343f6d630977e77ef8196b452c8c3b9cb2ca444609

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:14.632473Z digest=sha256:a223c8d4bc3cdb8f68d4f39f768a6500a0efbefb1663d91e5ea332619d5cf622

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:14.707503Z digest=sha256:bc955306cdeaf0f8b439b1d4d784a8fbdea0b3a133be664597a37daff0ed858e

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:14.811627Z digest=sha256:70c23e7f29238d1e90fbe284246e700c2805cb9a496f2f26f2fe29a1a54be472

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.

source=pdf_text observed=2026-08-07T00:23:14.917976Z digest=sha256:409cb94cc94ccd5357a52477a38b2179dda2546ce87f7e856e724c4e5758dfb9

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:15.005272Z digest=sha256:7c9f20483e63a40aabdf787ca9c72b929393b92b17a922b76502e62b865273ec

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:15.161712Z digest=sha256:91efaf7e00b35a6a781f11303db97c4f8b6e4b11cdfa68d1cf28107f0b4e5807

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:f8e437399526193c8ee372b1c70418857fcbd22bde5baa7ba0594f9789dd7ae3

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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:15.196727Z digest=sha256:61b91298d3747bfc277e2ad78c057aa22c285000d30f66d725174e586e28a97f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:15.216338Z digest=sha256:2926b841659b2a52385f11b69b4c8a027a2737686476b694a58112111a01a03d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:15.241080Z digest=sha256:11c99a2825b66544965dd444c319f31d49e8f9fc44fb9abd87668bd55d1162c5

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:15.259524Z digest=sha256:1f270237ffd4b4e1f078fd444f3d8d14f5156322088f077f2a983885601450c5

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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raw_fallback, observed 2026-08-07T00:23:16.897026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:15.285020Z digest=sha256:8ca08a8141ea41481fbb58555f2bbeeb5b07611ed5ca465f0fd7ee6a71a9b046

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:15.311176Z digest=sha256:3c797aec369d9196dce9ef5e7c997a541b33b962155590e8e0b17b8545a5f671

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=sha256:27680b60b7806094ef23d141ff17c28e66adaa8800ba78d61499956c929d4fd2

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:15.483121Z digest=sha256:d3e79d514ecd69cfe98b4005add37a2a3c24162ad55b5b8c832ba655d0518bca

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T00:23:15.595379Z digest=sha256:a666f7f5973a83224009632d32505beca97c16c955622df14e1e6795d157393d

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=sha256:07d2bcec718cfe06836e349b0188a903c08fce8eb1c69fa9dfc018867f35282e

Pith citing papers

No inbound Pith citation observations are available.