Paper Citation Record · LEDGER

Dynamic Graph CNN for Learning on Point Clouds

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:1801.07829.

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

pith.paper-citation-record.v1
1801.07829 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:50:34.284025Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-03T02:57:34.527333Z

Reference resolution

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External citation measurements

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Outbound references

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Pith citing papers

Observation 921b2aad-69e4-4e15-b951-4ff7850f0c5e · inbound

Fast Graph Representation Learning with PyTorch Geometric cites this paper.

Fast Graph Representation Learning with PyTorch Geometric Dynamic Graph CNN for Learning on Point Clouds

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:01:23.670382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2311f31b-2031-4e47-ac52-576cbb903de7 · inbound

Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving cites this paper.

Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving Dynamic Graph CNN for Learning on Point Clouds

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:00:57.615934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 08159d01-ee10-4e70-baba-bf23a0405550 · inbound

Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects cites this paper.

Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects Dynamic Graph CNN for Learning on Point Clouds

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-24T21:44:59.577307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b89f2164-3bef-4628-8407-04276a846f38 · inbound

How much real data do we actually need: Analyzing object detection performance using synthetic and real data cites this paper.

How much real data do we actually need: Analyzing object detection performance using synthetic and real data Dynamic Graph CNN for Learning on Point Clouds

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-24T20:49:54.519856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 24e710a0-c04b-4f63-8e85-491eb1265243 · inbound

Learning Embedding of 3D models with Quadric Loss cites this paper.

Learning Embedding of 3D models with Quadric Loss Dynamic Graph CNN for Learning on Point Clouds

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-24T17:14:43.865482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f42d79c5-17f8-4e91-95af-e0a1255e7e54 · inbound

Neural Operator: Graph Kernel Network for Partial Differential Equations cites this paper.

Neural Operator: Graph Kernel Network for Partial Differential Equations Dynamic Graph CNN for Learning on Point Clouds

Reference 64

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T22:17:49.029519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a1780174-4646-4302-ab3b-45adc75ec797 · inbound

Face recognition on point cloud with cgan-top for denoising cites this paper.

Face recognition on point cloud with cgan-top for denoising Dynamic Graph CNN for Learning on Point Clouds

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:50:34.284025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e25f39a-eb96-4425-9556-366019fae8c7 · inbound

MAGNet: A Multi-Scale Attention-Guided Graph Fusion Network for DRC Violation Detection cites this paper.

MAGNet: A Multi-Scale Attention-Guided Graph Fusion Network for DRC Violation Detection Dynamic Graph CNN for Learning on Point Clouds

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T05:46:42.128883Z

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Observation 5f32b243-d961-4791-b944-f187acb676a0 · inbound

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments cites this paper.

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments Dynamic Graph CNN for Learning on Point Clouds

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:50:30.483217Z

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Observation 4e1f4694-dd79-49ef-8284-1161587b540e · inbound

Graph-Based Deep Learning for Component Segmentation of Maize Plants cites this paper.

Graph-Based Deep Learning for Component Segmentation of Maize Plants Dynamic Graph CNN for Learning on Point Clouds

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:25:51.442544Z

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Observation 70518612-8627-451d-bc08-c6cf9d5239a3 · inbound

EDAPT: Towards Calibration-Free BCIs with Continual Online Adaptation cites this paper.

EDAPT: Towards Calibration-Free BCIs with Continual Online Adaptation Dynamic Graph CNN for Learning on Point Clouds

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T20:28:39.270127Z

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Observation d70cc3b6-f432-4ec3-bd2a-d0d194cf7dca · inbound

KIGNet: Physics-Motivated Multi-Graph Representation Learning for Explainable Jet Tagging cites this paper.

KIGNet: Physics-Motivated Multi-Graph Representation Learning for Explainable Jet Tagging Dynamic Graph CNN for Learning on Point Clouds

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-17T01:08:47.520896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8844581c-00e7-4a85-ab41-5be7e7cf7843 · inbound

KIGNet: Physics-Motivated Multi-Graph Representation Learning for Explainable Jet Tagging cites this paper.

KIGNet: Physics-Motivated Multi-Graph Representation Learning for Explainable Jet Tagging Dynamic Graph CNN for Learning on Point Clouds

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T18:00:47.951535Z

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Unavailable: canonical work link unavailable.

Observation c6dba3c4-1f37-401b-af1c-3847770b754c · inbound

Search for exotic Higgs boson decays H $\to$ $\mathcal{AA}$ with $\mathcal{AA}$ $\to$ $\gamma\gamma$ in events with a semi-merged topology in proton-proton collisions at $\sqrt{s}$ = 13 TeV cites this paper.

Search for exotic Higgs boson decays H $\to$ $\mathcal{AA}$ with $\mathcal{AA}$ $\to$ $\gamma\gamma$ in events with a semi-merged topology in proton-proton collisions at $\sqrt{s}$ = 13 TeV Dynamic Graph CNN for Learning on Point Clouds

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T13:11:41.918665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b9160a5-2b0f-42de-b63e-b990e2d4b3f7 · inbound

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter cites this paper.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Dynamic Graph CNN for Learning on Point Clouds

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T23:01:48.330056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e486e480-3446-4f31-bba9-d4c77f0bcf6b · inbound

Measurement of the jet mass in hadronic decays of boosted W bosons at 13 TeV and extraction of the W boson mass cites this paper.

Measurement of the jet mass in hadronic decays of boosted W bosons at 13 TeV and extraction of the W boson mass Dynamic Graph CNN for Learning on Point Clouds

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-13T21:45:55.247740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f053e580-ecb7-42ea-b7c5-38c0bf972ed0 · inbound

Explainable AI for Jet Tagging: A Comparative Study of GNNExplainer, GNNShap, and GradCAM for Jet Tagging in the Lund Jet Plane cites this paper.

Explainable AI for Jet Tagging: A Comparative Study of GNNExplainer, GNNShap, and GradCAM for Jet Tagging in the Lund Jet Plane Dynamic Graph CNN for Learning on Point Clouds

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:01:14.801689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 41c2527a-46e2-4604-a4fe-cec8701b28d5 · inbound

From Full and Partial Intraoral Scans to Crown Proposal: A Classification-Guided Restoration Assistance Pipeline cites this paper.

From Full and Partial Intraoral Scans to Crown Proposal: A Classification-Guided Restoration Assistance Pipeline Dynamic Graph CNN for Learning on Point Clouds

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-19T16:22:40.171021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0f7a3696-e372-4462-9895-7951a6ca7c57 · inbound

Higgs Physics with the XFEL Compton $\boldsymbol{\gamma\gamma}$ Collider Concept at $\boldsymbol{\sqrt{s}=125}$ GeV cites this paper.

Higgs Physics with the XFEL Compton $\boldsymbol{\gamma\gamma}$ Collider Concept at $\boldsymbol{\sqrt{s}=125}$ GeV Dynamic Graph CNN for Learning on Point Clouds

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:33:13.634973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 100a0eda-961e-49ea-a544-756f6e935aba · inbound

Particle-Lund Multimodality in Jet Taggers cites this paper.

Particle-Lund Multimodality in Jet Taggers Dynamic Graph CNN for Learning on Point Clouds

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-29T17:23:45.053556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 41019c0f-0715-49bd-b682-e26d13cb8d11 · inbound

SoccerNet 2026 Player-Centric Ball-Action Spotting:Retraining and Post-Processing Extensions to the FOOTPASS Baselines cites this paper.

SoccerNet 2026 Player-Centric Ball-Action Spotting:Retraining and Post-Processing Extensions to the FOOTPASS Baselines Dynamic Graph CNN for Learning on Point Clouds

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-03T00:17:29.193469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1cdf2e63-870c-46d1-8fd3-3344cbe085ab · inbound

Higher-order effects in amplitude-assisted polarisation extraction with machine-learning techniques cites this paper.

Higher-order effects in amplitude-assisted polarisation extraction with machine-learning techniques Dynamic Graph CNN for Learning on Point Clouds

Reference 93

Resolution: verified exact; local_arxiv, observed 2026-07-02T09:56:51.333771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ea86aa97-2162-4d91-b2db-13402b7ab724 · inbound

Heavy-Flavor Electron Classification Using Hadronic Environment as Point Cloud cites this paper.

Heavy-Flavor Electron Classification Using Hadronic Environment as Point Cloud Dynamic Graph CNN for Learning on Point Clouds

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-03T02:57:34.528895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a2622dcc-672f-4739-93f1-b2ca1fd7e45b · inbound

Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression cites this paper.

Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression Dynamic Graph CNN for Learning on Point Clouds

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T00:38:26.965166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.