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Paper Citation Record · LEDGER

Hybrid Long and Short Range Flows for Point Cloud Filtering

As of 20 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2508.08542.

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

pith.paper-citation-record.v1
2508.08542 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:36:20.380010Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

51 of 51 outbound references displayed

  • verified exact0
  • verified fuzzy47
  • unresolved3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29a67607-a839-4575-bb76-7dcfd3eded1e · outbound

This paper cites Mesh-offset-based method to generate a delta volume to support the maintenance of partially damaged parts through 3d printing,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Mesh-offset-based method to generate a delta volume to support the maintenance of partially damaged parts through 3d printing,

Reference 1

Resolution
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Source-reported events for the cited work

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Observation 7fca8370-8f61-47c9-a95c-f3b2707160a3 · outbound

This paper cites Point cloud modeling as a bridge between landscape design and planning,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Point cloud modeling as a bridge between landscape design and planning,

Reference 2

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e77bb09e-84cc-4d10-91e4-c1a795c1253b · outbound

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

Hybrid Long and Short Range Flows for Point Cloud Filtering Self-supervised pillar motion learning for autonomous driving,

Reference 3

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 063207d6-f596-4d94-a67e-7571e7909321 · outbound

This paper cites Feature preserving point set surfaces based on non linear kernel regression,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Feature preserving point set surfaces based on non linear kernel regression,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f44419c6-756f-4af0-a55c-43700c507716 · outbound

This paper cites Bilateral mesh denoising,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Bilateral mesh denoising,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 72ee96bf-0c02-438d-a630-280c3b265904 · outbound

This paper cites Semreg: Semantics constrained point cloud registration,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Semreg: Semantics constrained point cloud registration,

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 951da264-a333-4976-80ce-a3718bf93baa · outbound

This paper cites KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D.

Hybrid Long and Short Range Flows for Point Cloud Filtering KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D

Reference 7

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c329ab51-3f02-4132-9242-cecebe10d58e · outbound

This paper cites The bilateral filter for point clouds,.

Hybrid Long and Short Range Flows for Point Cloud Filtering The bilateral filter for point clouds,

Reference 8

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raw_fallback, observed 2026-08-05T21:36:28.342318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5a116054-b9e1-4a90-8657-1c63d76c21ad · outbound

This paper cites Point cloud denoising via moving rpca,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Point cloud denoising via moving rpca,

Reference 9

Resolution
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raw_fallback, observed 2026-08-05T21:36:28.144804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 06a6b8b1-e3c4-40a8-951a-1d16454d9f1d · outbound

This paper cites Feature graph learning for 3d point cloud denoising,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Feature graph learning for 3d point cloud denoising,

Reference 10

Resolution
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0697aebd-56ae-457e-9d63-861b48e6a88b · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 11

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 293d85dc-0cd0-479f-af21-d79f89ac8c73 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 12

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e18dce7d-060c-4914-ab76-117ea1ed41e2 · outbound

This paper cites Dynamic graph cnn for learning on point clouds,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Dynamic graph cnn for learning on point clouds,

Reference 13

Resolution
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 400882d9-520c-42a8-8273-e7eaec3e8260 · outbound

This paper cites Pointcleannet: Learning to denoise and remove outliers from dense point clouds,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Pointcleannet: Learning to denoise and remove outliers from dense point clouds,

Reference 14

Resolution
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0839ac9e-ad93-4293-ae82-e137c7508afc · outbound

This paper cites Score-based point cloud denoising,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Score-based point cloud denoising,

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation fe66be5a-eb74-4319-8984-e9e43d7bfe38 · outbound

This paper cites Iterativepfn: True iterative point cloud filtering,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Iterativepfn: True iterative point cloud filtering,

Reference 16

Resolution
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3c460202-de7a-4ce7-a4a2-d4eec755a907 · outbound

This paper cites Deep point set resampling via gradient fields,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Deep point set resampling via gradient fields,

Reference 17

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 775835a1-8531-4fc0-9331-d8606de63147 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Generative modeling by estimating gradients of the data distribution,

Reference 18

Resolution
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 027d2dbf-de59-4eb7-804c-13138cfb2523 · outbound

This paper cites Score-based generative modeling through stochastic differential equations,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Score-based generative modeling through stochastic differential equations,

Reference 19

Resolution
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Observation 7e9e04b3-2ac2-40d3-9dd8-51eb8303a889 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Flow straight and fast: Learning to generate and transfer data with rectified flow,

Reference 20

Resolution
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raw_fallback, observed 2026-08-05T21:36:25.813883Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bd754823-647e-443d-a2bc-aa7d2eb29d83 · outbound

This paper cites Fast point cloud generation with straight flows,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Fast point cloud generation with straight flows,

Reference 21

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f3e4e42a-af62-4775-8e69-6552babc3b1e · outbound

This paper cites Straightpcf: Straight point cloud filtering,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Straightpcf: Straight point cloud filtering,

Reference 22

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 62527751-9024-47bc-b1d1-a7a48351dbf2 · outbound

This paper cites Pd-flow: A point cloud denoising framework with normalizing flows,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Pd-flow: A point cloud denoising framework with normalizing flows,

Reference 23

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 131683d8-2f38-4cb6-9b2a-88a05132558e · outbound

This paper cites The approximation power of moving least-squares,.

Hybrid Long and Short Range Flows for Point Cloud Filtering The approximation power of moving least-squares,

Reference 24

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4649a230-4478-4940-883a-9cd8d38e26eb · outbound

This paper cites Computing and rendering point set surfaces,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Computing and rendering point set surfaces,

Reference 25

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raw_fallback, observed 2026-08-05T21:36:24.859760Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 383582db-cc18-4149-9f6a-71893927f8be · outbound

This paper cites Point-sampled cell complexes,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Point-sampled cell complexes,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 026afe5b-c634-4048-b9a6-9ea99745a32e · outbound

This paper cites Algebraic point set surfaces,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Algebraic point set surfaces,

Reference 27

Resolution
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raw_fallback, observed 2026-08-05T21:36:24.565084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1362c1f8-fcc4-4745-8730-f82438d1f764 · outbound

This paper cites Surface reconstruction from unorganized points,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Surface reconstruction from unorganized points,

Reference 28

Resolution
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raw_fallback, observed 2026-08-05T21:36:24.407612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T21:36:18.550835Z digest=sha256:39c9dff9ebd8aa75a2e615b20951ed3343ea68d833d982f78ac17f2ec437ab28

Observation ceb05b10-f1c5-4ce4-aaef-8c4eb9855a6b · outbound

This paper cites Estimating differential quantities using polynomial fitting of osculating jets,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Estimating differential quantities using polynomial fitting of osculating jets,

Reference 29

Resolution
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raw_fallback, observed 2026-08-05T21:36:24.245749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation adb8d9e8-c397-4247-9c04-1d5e1631973a · outbound

This paper cites Similarity based filtering of point clouds,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Similarity based filtering of point clouds,

Reference 30

Resolution
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raw_fallback, observed 2026-08-05T21:36:24.075699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 01e50df7-68c6-4d46-bbe6-750255d37a52 · outbound

This paper cites L1-sparse reconstruction of sharp point set surfaces,.

Hybrid Long and Short Range Flows for Point Cloud Filtering L1-sparse reconstruction of sharp point set surfaces,

Reference 31

Resolution
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raw_fallback, observed 2026-08-05T21:36:23.849195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8ccc5970-3dd8-44dc-a4c7-38ec4fdcf4e7 · outbound

This paper cites Denoising point sets via l0 minimization,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Denoising point sets via l0 minimization,

Reference 32

Resolution
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raw_fallback, observed 2026-08-05T21:36:23.631258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0887909c-4edb-4523-8086-32306147e994 · outbound

This paper cites Low rank matrix approx- imation for 3d geometry filtering,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Low rank matrix approx- imation for 3d geometry filtering,

Reference 33

Resolution
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raw_fallback, observed 2026-08-05T21:36:23.379228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ae96ea74-eb8a-4583-8a16-2e132ba616a8 · outbound

This paper cites Parameterization- free projection for geometry reconstruction,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Parameterization- free projection for geometry reconstruction,

Reference 34

Resolution
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raw_fallback, observed 2026-08-05T21:36:23.157533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T21:36:19.039540Z digest=sha256:365af4acd7d195c7def0b95ed988ac95422ce2048437c1fd6ff5b7767613cba4

Observation b6a25acd-4578-4288-afc5-616efebc8fd0 · outbound

This paper cites Consolidation of unorganized point clouds for surface reconstruction,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Consolidation of unorganized point clouds for surface reconstruction,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:36:22.926055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cc877f11-cde4-4875-b053-55cff81ef634 · outbound

This paper cites Continuous projection for fast l1 reconstruction,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Continuous projection for fast l1 reconstruction,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:36:22.707913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cc3600e0-74be-4234-8e7d-4f6761fd5ba8 · outbound

This paper cites Deep feature-preserving normal estimation for point cloud filtering,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Deep feature-preserving normal estimation for point cloud filtering,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:36:22.494859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7654a83e-3a07-4b7e-bd0d-859eeadcf04f · outbound

This paper cites Pointpronets: Consolidation of point clouds with convolutional neural networks,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Pointpronets: Consolidation of point clouds with convolutional neural networks,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:36:22.304615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 542b300d-e9c8-4b5a-9859-f9ac70538f34 · outbound

This paper cites Pointfilter: Point cloud filtering via encoder-decoder modeling,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Pointfilter: Point cloud filtering via encoder-decoder modeling,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:36:22.157943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T21:36:19.443244Z digest=sha256:b930fcc0db4aee4b841e86d48b84cfcd5a9cd4877f04e2a32e4c703468bf6ddd

Observation d1a85b3a-960b-4f0e-bb3d-85e523196893 · outbound

This paper cites Contrastive learning for joint normal estimation and point cloud filtering,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Contrastive learning for joint normal estimation and point cloud filtering,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:36:22.022168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T21:36:19.504617Z digest=sha256:fccdde58aef4bbb3c2ef5bd414c13e9559f5a2f2d0aeb95d54b3f9d6dce57e8d

Observation bf6de0b0-a2d8-47af-b5ef-89959f87b7b2 · outbound

This paper cites Learning graph- convolutional representations for point cloud denoising,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Learning graph- convolutional representations for point cloud denoising,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:36:21.864739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T21:36:19.590834Z digest=sha256:b7b20e01375b04b06c8679094fe3ebc5905c653b02748da1a9cbf1d49b2e831f

Observation e08a9814-a807-47dc-a70e-ff3e42674e3d · outbound

This paper cites Differentiable manifold reconstruction for point cloud denoising,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Differentiable manifold reconstruction for point cloud denoising,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T21:36:19.679865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:36:19.679865Z digest=sha256:0aa2cae6ddb048f192c1df72bac41a4d7d27505f6e0b06b1f11dc36c2c459ace

Observation fd2aad1f-52b5-4d1f-bbbc-b17a60980e4c · outbound

This paper cites Learning gradient fields for shape generation,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Learning gradient fields for shape generation,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:36:21.708335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T21:36:19.744946Z digest=sha256:7c7ad0008567bfafca6fbe78bc23ef110134d2186dcabd280cec59532d5f6de6

Observation f7043b01-1ebc-407e-b8ba-685ab3d942dc · outbound

This paper cites Diffusion probabilistic models for 3d point cloud generation,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Diffusion probabilistic models for 3d point cloud generation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:36:21.602338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T21:36:19.842075Z digest=sha256:a36a7d0277465fb0c26c60d06f62c7ea33d1ca2aa57f70a63498fab6bb487a4d

Observation 1d1dd2f5-88cd-4e2f-aad2-6ee896811ef3 · outbound

This paper cites Repcd-net: Feature-aware recurrent point cloud denoising network,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Repcd-net: Feature-aware recurrent point cloud denoising network,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:36:21.453114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T21:36:19.907019Z digest=sha256:747c01efae43dc76a9e98ba82d8676844e88940a9de3a7ed084bb68729b10c8d

Observation fc6ddec9-4fbd-40ad-8c14-d9b9ef2d3961 · outbound

This paper cites Denoising point clouds in latent space via graph convolution and invertible neural network,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Denoising point clouds in latent space via graph convolution and invertible neural network,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:36:21.334067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6e2d0006-39b3-4558-9d86-5473f7d4bf81 · outbound

This paper cites Accelerating 3d deep learning with pytorch3d,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Accelerating 3d deep learning with pytorch3d,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:36:21.132550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c7c8dc5c-11eb-449c-ae63-51684a7ea9e8 · outbound

This paper cites Pu-net: Point cloud upsampling network,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Pu-net: Point cloud upsampling network,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:36:21.000435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T21:36:20.207335Z digest=sha256:4112324110035e5886518490938a40199865a2c1832012bc354089d82f0f291b

Observation 414c23be-4446-4e14-ab96-0e9492f5f4e0 · outbound

This paper cites Paris-rue- madame database - a 3d mobile laser scanner dataset for benchmarking urban detection, segmentation and classification methods,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Paris-rue- madame database - a 3d mobile laser scanner dataset for benchmarking urban detection, segmentation and classification methods,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:36:20.804016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T21:36:20.278165Z digest=sha256:0d6e9914a3882ea675bff608b7784c6e4e72cd2d3a6ed064d13dc0e54a723060

Observation 1459fd74-f0b9-491b-91b1-2c75fae93057 · outbound

This paper cites Mesh denoising via cascaded normal regression,.

Hybrid Long and Short Range Flows for Point Cloud Filtering Mesh denoising via cascaded normal regression,

Reference 50

Resolution
malformed identifier
raw_fallback, observed 2026-08-05T21:36:20.646560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T21:36:20.380010Z digest=sha256:206e1b703ca68c609d2f326cfc4e105f593b106939dee3e3fa5b96453694bc8d

Observation 2ddb47b1-708b-43be-8802-4e5c568f0364 · outbound

This paper cites Accelerating 3D Deep Learning with PyTorch3D.

Hybrid Long and Short Range Flows for Point Cloud Filtering Accelerating 3D Deep Learning with PyTorch3D

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-05T21:36:20.136507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.