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Paper Citation Record · LEDGER

STREAM: A Universal State-Space Model for Sparse Geometric Data

As of 23 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2411.12603.

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

pith.paper-citation-record.v1
2411.12603 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:25:39.278448Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:52:49.166360Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T12:16:16.734455Z

Reference resolution

60 of 60 outbound references displayed

  • verified exact0
  • verified fuzzy52
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c41e177-877f-474e-8b52-4ce254b71636 · outbound

This paper cites A low power, fully event-based gesture recognition system.

STREAM: A Universal State-Space Model for Sparse Geometric Data A low power, fully event-based gesture recognition system

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 67e61f0d-7e2b-47c6-8993-678d175817e1 · outbound

This paper cites an unresolved cited work.

STREAM: A Universal State-Space Model for Sparse Geometric Data Unresolved cited work

Reference 2

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 6d31b8eb-0d65-46ff-bf06-0483030d3d64 · outbound

This paper cites Prefix sums and their applications, 1990.

STREAM: A Universal State-Space Model for Sparse Geometric Data Prefix sums and their applications, 1990

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b213fa59-6586-43a1-bb43-fbceac2d354a · outbound

This paper cites Qi Charles, Hao Su, Mo Kaichun, and Leonidas J.

STREAM: A Universal State-Space Model for Sparse Geometric Data Qi Charles, Hao Su, Mo Kaichun, and Leonidas J

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:40.407392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 1a444f37-b004-46ce-950f-4b18c146ff28 · outbound

This paper cites Pointgpt: Auto-regressively generative pre- training from point clouds.

STREAM: A Universal State-Space Model for Sparse Geometric Data Pointgpt: Auto-regressively generative pre- training from point clouds

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:40.392715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2731a73a-a4f5-4ea9-9c91-302cdb88deec · outbound

This paper cites Spikmamba: When snn meets mamba in event-based human action recognition, 2024.

STREAM: A Universal State-Space Model for Sparse Geometric Data Spikmamba: When snn meets mamba in event-based human action recognition, 2024

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:40.378205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 49ccc127-ee3f-4c84-9620-362b88b345f6 · outbound

This paper cites The heidelberg spiking data sets for the systematic evaluation of spiking neural networks.

STREAM: A Universal State-Space Model for Sparse Geometric Data The heidelberg spiking data sets for the systematic evaluation of spiking neural networks

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:40.363066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e08b81d2-bf5a-44f0-90ab-f1dc14baf55e · outbound

This paper cites an unresolved cited work.

STREAM: A Universal State-Space Model for Sparse Geometric Data Unresolved cited work

Reference 8

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e89f93a3-aa3d-4c9f-96c4-cd87c7a04e44 · outbound

This paper cites Mamba: Linear-time sequence mod- eling with selective state spaces, 2024.

STREAM: A Universal State-Space Model for Sparse Geometric Data Mamba: Linear-time sequence mod- eling with selective state spaces, 2024

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d34f7aa5-bf8c-4d47-af9c-8081eb9eea3f · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers.

STREAM: A Universal State-Space Model for Sparse Geometric Data Combining recurrent, convolutional, and continuous-time models with linear state space layers

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:40.316563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e87400ea-bce6-424c-a52f-bc881bd1ca86 · outbound

This paper cites Efficiently mod- eling long sequences with structured state spaces.

STREAM: A Universal State-Space Model for Sparse Geometric Data Efficiently mod- eling long sequences with structured state spaces

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:40.299577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 919bc903-e9ca-4667-8523-c59d33c02c92 · outbound

This paper cites Martin, and Shi-Min Hu.

STREAM: A Universal State-Space Model for Sparse Geometric Data Martin, and Shi-Min Hu

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:40.281504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 53a54cd1-b697-46d6-aabd-1d3763362ce0 · outbound

This paper cites Deep learning for 3d point 9 clouds: A survey.

STREAM: A Universal State-Space Model for Sparse Geometric Data Deep learning for 3d point 9 clouds: A survey

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 32b9b2db-c24c-4c5c-9ec0-582f15d59aa4 · outbound

This paper cites Learning delays in spiking neural net- works using dilated convolutions with learnable spacings.

STREAM: A Universal State-Space Model for Sparse Geometric Data Learning delays in spiking neural net- works using dilated convolutions with learnable spacings

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:40.247110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 289542c7-cff5-4ff2-bbe3-e877fb2f81e4 · outbound

This paper cites At- tention discriminant sampling for point clouds.

STREAM: A Universal State-Space Model for Sparse Geometric Data At- tention discriminant sampling for point clouds

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:40.230175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation fec721f8-a674-459e-ad11-3ad53cf590a7 · outbound

This paper cites JUWELS Cluster and Booster: Exascale Pathfinder with Modular Supercomputing Architecture at Juelich Supercomputing Centre.

STREAM: A Universal State-Space Model for Sparse Geometric Data JUWELS Cluster and Booster: Exascale Pathfinder with Modular Supercomputing Architecture at Juelich Supercomputing Centre

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T17:25:39.043981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0e8d73ee-ebd2-4a81-8f2c-973d23d6cac2 · outbound

This paper cites SMPConv: Self- Moving Point Representations for Continuous Convolution.

STREAM: A Universal State-Space Model for Sparse Geometric Data SMPConv: Self- Moving Point Representations for Continuous Convolution

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:40.202574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation bd692ac2-537d-41b6-b3c7-30a1faeebcab · outbound

This paper cites Shi, and Ryad B.

STREAM: A Universal State-Space Model for Sparse Geometric Data Shi, and Ryad B

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:40.186144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e70fbb2e-1e07-4139-aa4e-a55ed0fc9e05 · outbound

This paper cites Pointcnn: Convolution on x-transformed points.

STREAM: A Universal State-Space Model for Sparse Geometric Data Pointcnn: Convolution on x-transformed points

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:40.170391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 39234f21-fc2d-4ee4-94d7-fbdc5ee7b440 · outbound

This paper cites Pointmamba: A simple state space model for point cloud analysis.

STREAM: A Universal State-Space Model for Sparse Geometric Data Pointmamba: A simple state space model for point cloud analysis

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:40.153817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 6c3ae807-d861-4db2-b1a2-c2ac019c1aa5 · outbound

This paper cites A 128× 128 120 db 15 µs latency asynchronous temporal con- trast vision sensor.

STREAM: A Universal State-Space Model for Sparse Geometric Data A 128× 128 120 db 15 µs latency asynchronous temporal con- trast vision sensor

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:40.131911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3a122065-fa2d-464a-9e85-f2ba8a0cff62 · outbound

This paper cites Lam, and Ngai Wong.

STREAM: A Universal State-Space Model for Sparse Geometric Data Lam, and Ngai Wong

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 620c3d1c-707f-4b4a-bff9-7b608fb833ef · outbound

This paper cites Masked discrim- ination for self-supervised learning on point clouds.

STREAM: A Universal State-Space Model for Sparse Geometric Data Masked discrim- ination for self-supervised learning on point clouds

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:40.099136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e594b011-d190-4a9b-a5b1-acf8186efe3a · outbound

This paper cites Re- thinking network design and local geometry in point cloud: A simple residual MLP framework.

STREAM: A Universal State-Space Model for Sparse Geometric Data Re- thinking network design and local geometry in point cloud: A simple residual MLP framework

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:40.081167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b81e094b-8e45-4429-b7f1-c2f92b1589e3 · outbound

This paper cites V oxnet: A 3d con- volutional neural network for real-time object recognition.

STREAM: A Universal State-Space Model for Sparse Geometric Data V oxnet: A 3d con- volutional neural network for real-time object recognition

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:40.064532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4fdc9e75-100a-4c98-bbcf-6e92c9ace2e5 · outbound

This paper cites Masked autoencoders for point cloud self-supervised learning.

STREAM: A Universal State-Space Model for Sparse Geometric Data Masked autoencoders for point cloud self-supervised learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T17:25:39.097465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:25:39.097465Z digest=sha256:bd84dc46a1c1b6f63412b14281abb0474574f7664d36a5ab0b9660bc8e06a0ba

Observation 66717af0-d8a5-4568-8105-9d0435e862ac · outbound

This paper cites TENNs-PLEIADES: Build- ing Temporal Kernels with Orthogonal Polynomials, 2024.

STREAM: A Universal State-Space Model for Sparse Geometric Data TENNs-PLEIADES: Build- ing Temporal Kernels with Orthogonal Polynomials, 2024

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T17:25:39.104889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:25:39.104889Z digest=sha256:d96485beeda9fc6d78d2cfbc9e8b6c8bee95292f54abd84dfe2cbc17d35fbe26

Observation f39e3894-ad96-4aa5-94a6-bee8a6685f15 · outbound

This paper cites Learning to detect objects with a 1 megapixel event camera.

STREAM: A Universal State-Space Model for Sparse Geometric Data Learning to detect objects with a 1 megapixel event camera

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:40.023797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7aaebb8b-e48e-4967-ad6d-6911d625fd03 · outbound

This paper cites Dgcnn: A convolutional neural network over large-scale labeled graphs.

STREAM: A Universal State-Space Model for Sparse Geometric Data Dgcnn: A convolutional neural network over large-scale labeled graphs

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:39.998499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c6c2de4b-aa6d-406a-8f06-da5e4995e94f · outbound

This paper cites Hyena hierarchy: Towards larger con- volutional language models.

STREAM: A Universal State-Space Model for Sparse Geometric Data Hyena hierarchy: Towards larger con- volutional language models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:39.979781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7b796898-6915-4fd1-a748-96c3d1eceebb · outbound

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

STREAM: A Universal State-Space Model for Sparse Geometric Data Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:39.963324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d289fa4d-d202-4c6f-86ff-4c2be52b4d13 · outbound

This paper cites Pointnext: revisiting pointnet++ with im- proved training and scaling strategies.

STREAM: A Universal State-Space Model for Sparse Geometric Data Pointnext: revisiting pointnet++ with im- proved training and scaling strategies

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:39.947828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2513bd04-77f1-433c-9c50-d9a692eb1e36 · outbound

This paper cites Language models are unsu- pervised multitask learners.

STREAM: A Universal State-Space Model for Sparse Geometric Data Language models are unsu- pervised multitask learners

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:39.928949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 07a59def-6ca6-49e8-a252-246db8383623 · outbound

This paper cites Surface Repre- sentation for Point Clouds.

STREAM: A Universal State-Space Model for Sparse Geometric Data Surface Repre- sentation for Point Clouds

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:39.912776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c13de459-c25d-41e0-b60c-34e344b8678e · outbound

This paper cites Ttpoint: A tensorized point cloud network for lightweight action recognition with event cam- eras.

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Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a39795f0-b18b-4e24-a5f2-0cf6d521bc00 · outbound

This paper cites Rethinking efficient and effective point- based networks for event camera classification and regres- sion: Eventmamba, 2024.

STREAM: A Universal State-Space Model for Sparse Geometric Data Rethinking efficient and effective point- based networks for event camera classification and regres- sion: Eventmamba, 2024

Reference 36

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 233f1804-4f03-4aee-a0b4-20931cc89ed9 · outbound

This paper cites Aegnn: Asynchronous event-based graph neural networks.

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Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f4e68308-5ab1-466e-b17e-78601c13089f · outbound

This paper cites Scalable 10 event-by-event processing of neuromorphic sensory signals with deep state-space models.

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Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ff1d90f7-67c4-4ebd-962c-882774e3c6d4 · outbound

This paper cites Eventnet: Asynchronous recursive event processing.

STREAM: A Universal State-Space Model for Sparse Geometric Data Eventnet: Asynchronous recursive event processing

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9fe66179-188d-473a-8cd9-076cfaeebaaa · outbound

This paper cites Smith, Andrew Warrington, and Scott Linder- man.

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Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7e7938a2-90cb-436e-bbe8-96e0013f65e2 · outbound

This paper cites S7: Selective and simplified state space layers for sequence modeling, 2024.

STREAM: A Universal State-Space Model for Sparse Geometric Data S7: Selective and simplified state space layers for sequence modeling, 2024

Reference 41

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2fedc8ed-a8c6-428f-aa58-8e06613bc1dd · outbound

This paper cites Efficient recur- rent architectures through activity sparsity and sparse back- propagation through time.

STREAM: A Universal State-Space Model for Sparse Geometric Data Efficient recur- rent architectures through activity sparsity and sparse back- propagation through time

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 546a7cae-1018-4008-9715-bec1ee8d4357 · outbound

This paper cites Revisiting point cloud classification: A new benchmark dataset and classifi- cation model on real-world data.

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Reference 43

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 8fa41635-4252-4a59-bd30-85a3c4724684 · outbound

This paper cites Octformer: Octree-based transformers for 3d point clouds.

STREAM: A Universal State-Space Model for Sparse Geometric Data Octformer: Octree-based transformers for 3d point clouds

Reference 44

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 651fca71-0e61-4bc3-b0b9-66fa38cbf1e4 · outbound

This paper cites Space-time event clouds for gesture recognition: From rgb cameras to event cameras.

STREAM: A Universal State-Space Model for Sparse Geometric Data Space-time event clouds for gesture recognition: From rgb cameras to event cameras

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:39.723245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 468530b0-d501-49c3-af4c-f6510be3da75 · outbound

This paper cites Deep Parametric Contin- uous Convolutional Neural Networks.

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Reference 46

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5a0af1f2-29c5-4f4f-bbfc-d2cca9faf186 · outbound

This paper cites Speech commands: A dataset for limited- vocabulary speech recognition, 2018.

STREAM: A Universal State-Space Model for Sparse Geometric Data Speech commands: A dataset for limited- vocabulary speech recognition, 2018

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:39.688174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b293120a-010f-45ee-80c8-cc2d144afcc2 · outbound

This paper cites PointConv: Deep Convolutional Networks on 3D Point Clouds.

STREAM: A Universal State-Space Model for Sparse Geometric Data PointConv: Deep Convolutional Networks on 3D Point Clouds

Reference 48

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 343ac667-947e-48f9-9ca1-a637566223b5 · outbound

This paper cites PointConvFormer: Re- venge of the Point-based Convolution.

STREAM: A Universal State-Space Model for Sparse Geometric Data PointConvFormer: Re- venge of the Point-based Convolution

Reference 49

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 11b638d6-4bd6-474b-940f-1ccae6b94d08 · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

STREAM: A Universal State-Space Model for Sparse Geometric Data 3d shapenets: A deep representation for volumetric shapes

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:39.635927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation bc378151-5f11-4133-ab4c-f7f05e10e72b · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

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Reference 51

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a981a7cf-9e14-4812-bc9f-6bb5d5065e3a · outbound

This paper cites Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling.

STREAM: A Universal State-Space Model for Sparse Geometric Data Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:39.602271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation dd228a73-2a42-4001-ad3b-3053ba7d868f · outbound

This paper cites Cutmix: Regular- ization strategy to train strong classifiers with localizable fea- tures.

STREAM: A Universal State-Space Model for Sparse Geometric Data Cutmix: Regular- ization strategy to train strong classifiers with localizable fea- tures

Reference 53

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7b44c2fc-534b-4e48-862e-1f322e6fa01b · outbound

This paper cites Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training.

STREAM: A Universal State-Space Model for Sparse Geometric Data Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:39.569404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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

This paper cites Point Cloud Mamba: Point Cloud Learning via State Space Model.

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

Reference 55

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 41120bcf-177a-4e76-9fc3-072ba6c1a82c · outbound

This paper cites Ex- act: Language-guided conceptual reasoning and uncertainty estimation for event-based action recognition and more.

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Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:39.553657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 017bc148-5fc6-4cb1-ba98-5437543e0403 · outbound

This paper cites State Space Models for Event Cameras.

STREAM: A Universal State-Space Model for Sparse Geometric Data State Space Models for Event Cameras

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:39.537445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation cd541954-acc1-4b8b-8289-2eff6d047169 · outbound

This paper cites We restrict to the case of single-input single- output (SISO) state-space models with multi-dimensional state.

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Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:25:39.521289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation fe67041e-5d08-4156-858d-2cedab1c5e74 · outbound

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Reference 60

Resolution
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raw_fallback, observed 2026-08-12T17:25:39.503054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0622ea6a-ac6b-4236-a162-355ca4b6191d · outbound

This paper cites an unresolved cited work.

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Reference 2023

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:25:39.151831Z digest=sha256:3106ccb82c18796116b19d3fc3e1b8d7c4fee4b2e08d8a9c8c6f48624c0cc7ac

Pith citing papers

Observation 56bb59df-1646-4fd0-8a91-a93390509ce9 · inbound

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues cites this paper.

Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues STREAM: A Universal State-Space Model for Sparse Geometric Data

Reference 137

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T10:52:51.101728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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