Pith. sign in

Paper Citation Record · LEDGER

Point Cloud Mamba: Point Cloud Learning via State Space Model

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2403.00762.

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

pith.paper-citation-record.v1
2403.00762 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:55:02.065255Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:49:44.649665Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6d9e99b7-fcd4-4f8c-be31-99f54d60bab2 · inbound

3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion cites this paper.

3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:13:45.166939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-24T02:09:11.515173Z digest=sha256:b057cb3e4f6046fc2393966f73cbafa51f239782721181547dd5cbc7eaee9f41

Observation c1e2c219-909a-44f0-b46e-b20a503f0e86 · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 232

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:13:30.900786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-23T22:09:19.917854Z digest=sha256:255ca8c1f78c3290360d44444ef0791d878fccdad1351764a3c5f3bf9835867d

Observation d2eb2fe6-4a98-4e66-84ba-bedce1f0a47b · inbound

STREAM: A Universal State-Space Model for Sparse Geometric Data cites this paper.

STREAM: A Universal State-Space Model for Sparse Geometric Data Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-12T17:25:39.257016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:25:39.257016Z digest=sha256:940017738266720199135bed5534e6ed9c8753e3460e39a85e09b7e724b4774c

Observation d030eed5-aba7-4df7-bc4a-91989fe13600 · inbound

Point Cloud Understanding via Attention-Driven Contrastive Learning cites this paper.

Point Cloud Understanding via Attention-Driven Contrastive Learning Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:29.557826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:29.557826Z digest=sha256:dad2c94a6ba3f3455624e0943dbe7e7a50bbb6191d78efcb7a03f726926f4c3b

Observation cb0da1b9-94db-4d8a-b224-f507ee146ad7 · inbound

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning cites this paper.

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T12:29:54.763707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:29:54.763707Z digest=sha256:6391e03832c887cf36f889130b0b583b9f5c0849fc46513c4ced50e2e99ba5cf

Observation 9b17a65d-c6e3-4d5d-bfb3-68ec1c6fb587 · inbound

SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation cites this paper.

SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T14:32:17.660693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:32:17.660693Z digest=sha256:77bee3f723506de20ff00ffbe712117978621372a255daaa134c21d825d966a3

Observation 7608ee85-0648-4fc6-9398-bb480df086f1 · inbound

Faster Vision Mamba is Rebuilt in Minutes via Merged Token Re-training cites this paper.

Faster Vision Mamba is Rebuilt in Minutes via Merged Token Re-training Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T14:07:16.317365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:07:16.317365Z digest=sha256:4ee6bfd566510376a0129f5a7119f3052088e5e12464269b03829b0cae4b5efe

Observation ce53ef9c-022f-41f1-b277-bc96e676468c · inbound

FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation cites this paper.

FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T05:36:19.928849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:36:19.928849Z digest=sha256:be313b9c4381d7296bd4db3f813b5c69948441b68bf14452c1a4309bbe3a2f6e

Observation 8d000c43-9145-46ee-8258-310345e88aa8 · inbound

CMamba: Learned Image Compression with State Space Models cites this paper.

CMamba: Learned Image Compression with State Space Models Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-08T20:46:58.177700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:46:58.177700Z digest=sha256:e0aef1da4a15dc603e2cd382404edb285d5f466584d994e6fb770d7badb1d6cc

Observation f99d0b15-f370-4ecf-b27b-e014e5956f98 · inbound

Hierarchical Feature Learning for Medical Point Clouds via State Space Model cites this paper.

Hierarchical Feature Learning for Medical Point Clouds via State Space Model Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-22T19:01:58.067623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-22T18:58:40.012438Z digest=sha256:be3dcfad1f7655343e9f7e8d05dc9952eccef97c3cd117f0bf5cf9c7267f45f6

Observation 9d8ac783-fd01-427f-983e-23f04a8a538b · inbound

Efficient Spiking Point Mamba for Point Cloud Analysis cites this paper.

Efficient Spiking Point Mamba for Point Cloud Analysis Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-16T11:55:02.065255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:55:02.065255Z digest=sha256:a51b60128996f55643a1abeb349c388fa1cb13fea95a5291e765e86ffe908f31

Observation 1b62a641-1c6c-488b-92b5-157f5a119420 · inbound

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition cites this paper.

LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T06:02:37.252561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:02:37.252561Z digest=sha256:302a5abaff8cdedf23e6a553fddaebffae4a61e4d0444dd246d312177aab6bef

Observation bf956329-c03f-424f-a247-4d7291452bf4 · inbound

UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting cites this paper.

UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T04:41:03.813528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:41:03.813528Z digest=sha256:2efb5dd2f69f24296329e4861aa7793dca0fc8e993a8e0d6da11269536c23961

Observation 99845434-b060-43b2-82b2-cc7b66b97d07 · inbound

Enhancing point cloud analysis via neighbor aggregation correction based on cross-stage structure correlation cites this paper.

Enhancing point cloud analysis via neighbor aggregation correction based on cross-stage structure correlation Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-15T19:49:14.709817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:49:14.709817Z digest=sha256:d31fa029efce0854a28f042d1715fcc4e33018356716bfb4733b92e8b1235255

Observation 3be26c36-108e-46e2-a927-eede1fadf450 · inbound

FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation cites this paper.

FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:05.524678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.524678Z digest=sha256:a15d369213a1457d01db0a080ecb34c96e4b0cda0079775da1b0cd02d0c6e5ec

Observation 97aa9995-17fb-4713-8b12-0cd13e098104 · inbound

StruMamba3D: Exploring Structural Mamba for Self-supervised Point Cloud Representation Learning cites this paper.

StruMamba3D: Exploring Structural Mamba for Self-supervised Point Cloud Representation Learning Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T22:31:41.787500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:31:41.787500Z digest=sha256:e073b0f33bed11fa84ef99456eeb85fd6f2a4fcab90cde9a216fa949d629539f

Observation c448c7b1-0717-4d7e-baff-928868910d1e · inbound

MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition cites this paper.

MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-06T21:51:59.480981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:51:59.480981Z digest=sha256:a30ec762f6432efb6c406773ba792b4f9cce706a16632f6e0c6b21b469cced9f

Observation b412c986-ac72-4a6c-9323-97ddea2df1e3 · inbound

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection cites this paper.

MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object Detection Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T19:53:14.470889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:14.470889Z digest=sha256:95e91b8c7f36b30dbc1bc46b8d82a3757c31c810f9c431101e73dbc89e577325

Observation c3aa06af-5c70-49f0-9dc1-2f2040a048de · inbound

Ambiguity-aware Point Cloud Segmentation by Adaptive Margin Contrastive Learning cites this paper.

Ambiguity-aware Point Cloud Segmentation by Adaptive Margin Contrastive Learning Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:36.741634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:36.741634Z digest=sha256:7a2b4f7d206d3a40e0de55bd028d3915de7be4335c7b58d61da7b2aaceaa35a6

Observation dbc10f78-1278-409c-b31d-b7e2c1ee8cda · inbound

MeshMamba: State Space Models for Articulated 3D Mesh Generation and Reconstruction cites this paper.

MeshMamba: State Space Models for Articulated 3D Mesh Generation and Reconstruction Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-06T15:41:39.766073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:41:39.766073Z digest=sha256:57f0df751af27e231bbcce95b2de5aacf5a0c10ad92e6463d708023a0f7ce7f8

Observation c8939e5c-17d4-4b9c-ad27-bb71c3df0ff7 · inbound

PointLAMA: Latent Attention meets Mamba for Efficient Point Cloud Pretraining cites this paper.

PointLAMA: Latent Attention meets Mamba for Efficient Point Cloud Pretraining Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T14:56:41.975213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:56:41.975213Z digest=sha256:5061d1a50eae06975de9cf13f7a52f0915c81bea0e83657e86ff68f59d5cae28

Observation 3db89f6d-faf2-4f6a-a158-973eab5d91a8 · inbound

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation cites this paper.

HybridTM: Combining Transformer and Mamba for 3D Semantic Segmentation Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:41.218628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:41.218628Z digest=sha256:1d9ca26370cf9d65cd92177f02654e38af37f57d6a349c2fa2a641c9a73fc5e7

Observation 106de3b1-c248-498f-bc73-ff1be8979abd · inbound

HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning cites this paper.

HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-06T14:04:42.728308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:04:42.728308Z digest=sha256:86aabe13b019e18b130d35fe79a4d2ad1e5cfdc4ec42a036c92bef54319bae9a

Observation 5166a20d-0ff4-42ae-bed7-02423bd7f793 · inbound

Point upsampling networks for single-photon sensing cites this paper.

Point upsampling networks for single-photon sensing Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T17:21:25.179418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:25.179418Z digest=sha256:ead64bf6bbf1958650a37b8f119c1297b71cc7c62922269d3894c4f40a462744

Observation 424be3d8-6294-4440-9f8a-c124d2a905c3 · inbound

Channel-Level Relation to Attentive Aggregation with Neighborhood-Homogeneity Constraint for Point Cloud Analysis cites this paper.

Channel-Level Relation to Attentive Aggregation with Neighborhood-Homogeneity Constraint for Point Cloud Analysis Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T05:50:26.442886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T19:30:07.964226Z digest=sha256:4ca93e652a8267f67d07a3a65d47568231e5492dacb7a89f5b2858afcf0f6ea6

Observation e13bfea3-5ed0-45df-92a9-9fd37cd090ca · inbound

Channel-Level Relation to Attentive Aggregation with Neighborhood-Homogeneity Constraint for Point Cloud Analysis cites this paper.

Channel-Level Relation to Attentive Aggregation with Neighborhood-Homogeneity Constraint for Point Cloud Analysis Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:55:56.328089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-11T02:07:43.703104Z digest=sha256:4a29dd1f5d40a852cebadbe7a945c03ac08eb29c64cfaf35952fb209c1113cc9

Observation 1b8968e8-ae29-4266-9963-64b336a99d93 · inbound

MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection cites this paper.

MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 85

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:49:44.651063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T09:26:51.456652Z digest=sha256:416199ebf75d0da6d3416cdb66710ec05baf421c4855337dcf92c8b84919fc1d

Observation a501f8c2-6923-437d-83f0-055c95d6e1b2 · inbound

FPSGen: Flexible Point Cloud Scene Generation with BEV-Supported Transport Flows cites this paper.

FPSGen: Flexible Point Cloud Scene Generation with BEV-Supported Transport Flows Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-01T11:43:14.915746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T11:43:14.915746Z digest=sha256:a269bff1b2687e642a71a68efeea474b41b307291577b37cd1097e38048381a5