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Paper Citation Record · LEDGER

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining

As of 17 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 1 inbound Pith citation observation for arXiv:2505.05307.

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

pith.paper-citation-record.v1
2505.05307 v2

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:11:30.978188Z

measured 90 of 90 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:10:17.833994Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T23:10:18.203983Z

Reference resolution

89 of 89 outbound references displayed

  • verified exact3
  • verified fuzzy60
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0adaca14-64f0-485f-842f-d76b38c0db5b · outbound

This paper cites Event-based vision: A survey.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Event-based vision: A survey

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 073acfe8-1e6f-4066-935c-65e5e7ee360d · outbound

This paper cites Towards mobile sensing with event cameras on high-agility resource-constrained devices: A survey.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Towards mobile sensing with event cameras on high-agility resource-constrained devices: A survey

Reference 2

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no resolver link, observed 2026-08-15T23:11:30.499182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d6ec9f40-7e0e-49de-8822-0e8edf3fa00e · outbound

This paper cites Robust visual track- ing with a freely-moving event camera.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Robust visual track- ing with a freely-moving event camera

Reference 3

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Unavailable: canonical work link unavailable.

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Observation 676e225a-47a8-4ee5-a303-94137bf0fec5 · outbound

This paper cites Eventtracker: 3d localization and tracking of high-speed object with event and depth fusion.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Eventtracker: 3d localization and tracking of high-speed object with event and depth fusion

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 71b76ed5-5602-4d8d-b88d-0e006820dc1b · outbound

This paper cites Comparing representations in track- ing for event camera-based slam.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Comparing representations in track- ing for event camera-based slam

Reference 5

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Unavailable: canonical work link unavailable.

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Observation 476d4897-6306-4629-ab49-99fc4bf08261 · outbound

This paper cites Ultimate slam? combining events, images, and imu for robust visual slam in hdr and high-speed scenarios.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Ultimate slam? combining events, images, and imu for robust visual slam in hdr and high-speed scenarios

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7d631818-0234-4d21-a1af-168cf17fa64b · outbound

This paper cites Low-latency auto- motive vision with event cameras.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Low-latency auto- motive vision with event cameras

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 819b67e3-81d2-4738-b926-b84e64347ba1 · outbound

This paper cites Ultra-high-frequency harmony: mmwave radar and event camera orchestrate accurate drone landing.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Ultra-high-frequency harmony: mmwave radar and event camera orchestrate accurate drone landing

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 50fa53ee-26c7-43e0-9af5-0f45a8ef987e · outbound

This paper cites Dy- namic obstacle avoidance for quadrotors with event cameras.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Dy- namic obstacle avoidance for quadrotors with event cameras

Reference 9

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no resolver link, observed 2026-08-15T23:11:30.530690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4816c549-78b4-46fc-96e8-c85fe3b3fd90 · outbound

This paper cites Evdodgenet: Deep dynamic obstacle dodging with event cameras.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Evdodgenet: Deep dynamic obstacle dodging with event cameras

Reference 10

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no resolver link, observed 2026-08-15T23:11:30.534805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c534f45f-8c20-4499-994c-060d8f700c82 · outbound

This paper cites Distill drops into data: Event- based rain-background decomposition network.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Distill drops into data: Event- based rain-background decomposition network

Reference 11

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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 2026-08-17T06:30:58.91139+00:00.

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Observation 9b16ca4f-5e2a-42eb-88b2-677ec8e6c1df · outbound

This paper cites A novel rain removal approach for outdoor dynamic vision sensor event videos.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining A novel rain removal approach for outdoor dynamic vision sensor event videos

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f2bc0f1c-c3ff-4b98-a59c-136b464c9346 · outbound

This paper cites Drunkwalk: Collaborative and adaptive planning for navigation of micro-aerial sensor swarms.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Drunkwalk: Collaborative and adaptive planning for navigation of micro-aerial sensor swarms

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d30e29dd-4b34-419f-bfa3-6f6c03be1d0b · outbound

This paper cites Cellular uav-to-x communications: Design and op- timization for multi-uav networks.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Cellular uav-to-x communications: Design and op- timization for multi-uav networks

Reference 14

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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 2026-08-17T06:30:58.91139+00:00.

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Observation aeb1951a-8a05-4d4a-a6f0-58eb0afb7eda · outbound

This paper cites H-swarmloc: Efficient schedul- ing for localization of heterogeneous mav swarm with deep reinforcement learning.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining H-swarmloc: Efficient schedul- ing for localization of heterogeneous mav swarm with deep reinforcement learning

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5ab5584d-b374-4dda-83ce-c112ac702dc3 · outbound

This paper cites Path generation for wheeled robots autonomous navigation on vegetated terrain.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Path generation for wheeled robots autonomous navigation on vegetated terrain

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3f8044cf-d22b-4b7f-82de-a6296dac7209 · outbound

This paper cites Ugv charging stations for uav-assisted aoi- aware data collection.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Ugv charging stations for uav-assisted aoi- aware data collection

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f1467374-f6ab-464a-940b-c8f52fce11e0 · outbound

This paper cites A large language model- driven heterogeneous air-ground rescue swarm.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining A large language model- driven heterogeneous air-ground rescue swarm

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f9d97135-e7f7-4d73-b87e-cf5eacdfe4b7 · outbound

This paper cites Single image deraining with continuous rain density estimation.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Single image deraining with continuous rain density estimation

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 96d1c09b-d639-4830-a0b9-1480626c9004 · outbound

This paper cites Learn- ing a sparse transformer network for effective image de- raining.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Learn- ing a sparse transformer network for effective image de- raining

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation aad1d758-bd34-4d81-8973-a4e016a46d84 · outbound

This paper cites A sur- vey of deep learning-based image restoration methods for enhancing situational awareness at disaster sites: the cases of rain, snow and haze.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining A sur- vey of deep learning-based image restoration methods for enhancing situational awareness at disaster sites: the cases of rain, snow and haze

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-15T23:11:32.246616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6df6264e-e05a-4384-806b-4f55a1a9c12a · outbound

This paper cites Progressive network based on detail scaling and texture extraction: A more gen- eral framework for image deraining.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Progressive network based on detail scaling and texture extraction: A more gen- eral framework for image deraining

Reference 22

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raw_fallback, observed 2026-08-15T23:11:32.231780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.587389Z digest=sha256:e333d28a56cb3d041c7841e47c42fcb146737bb1bdcf8f420c169e7163bcf6b0

Observation 6b759d99-cf8f-4155-862b-b480ea8fce46 · outbound

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

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Space-time event clouds for gesture recognition: From rgb cameras to event cameras

Reference 23

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:11:30.591555Z digest=sha256:972fa2e3b143b803978d99f55ac665b9273d45295e81f47ea1097a2f1ee7178d

Observation f807a43b-5166-4968-bac6-aa5cb8a029e8 · outbound

This paper cites Eventnet: Asynchronous recursive event processing.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Eventnet: Asynchronous recursive event processing

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:32.207621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.595488Z digest=sha256:1115677cd68d4de9a77250c200c9b9c6a42ebb8dc6cf119c3fd6649c24e17b75

Observation abb1f621-e96c-43d4-87e1-1903fa19008e · outbound

This paper cites Graph-based spatio-temporal feature learning for neuromorphic vision sensing.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Graph-based spatio-temporal feature learning for neuromorphic vision sensing

Reference 25

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raw_fallback, observed 2026-08-15T23:11:32.192882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 86f33d05-c5e0-4cd2-9f1e-8553d9541338 · outbound

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

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Aegnn: Asynchronous event-based graph neural networks

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:32.177338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8580f7d4-778a-4b8e-8ca6-c836bce30f76 · outbound

This paper cites Hybrid snn-ann: Energy-efficient classifica- tion and object detection for event-based vision.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Hybrid snn-ann: Energy-efficient classifica- tion and object detection for event-based vision

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:32.162762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5a1c7bdc-871e-4910-ac0e-03c3a3cc3127 · outbound

This paper cites Neuromorphic optical flow and real-time implementation with event cameras.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Neuromorphic optical flow and real-time implementation with event cameras

Reference 28

Resolution
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raw_fallback, observed 2026-08-15T23:11:32.147671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c1c7d769-2a08-4980-9554-fb50c97fc197 · outbound

This paper cites Incorporating learnable membrane time constant to enhance learning of spiking neu- ral networks.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Incorporating learnable membrane time constant to enhance learning of spiking neu- ral networks

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:32.131767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.615624Z digest=sha256:f9bcb0fbae4878729b482b1f8076c6f5673c4363d527a64a2e960ae574b90aea

Observation 0fdbc2bd-a297-4656-8df5-a4d05f6dca0d · outbound

This paper cites E- mamba: Using state-space-models for direct event process- ing in space situational awareness.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining E- mamba: Using state-space-models for direct event process- ing in space situational awareness

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:32.116208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.619782Z digest=sha256:0378344f7c1dc10f9608b9c7d6136358033b39847e3203a835ad3d128860d0df

Observation 099e87fc-a15f-4e37-a6a8-eb630f0abf99 · outbound

This paper cites Rethinking Efficient and Effective Point-based Networks for Event Camera Classification and Regression: EventMamba.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Rethinking Efficient and Effective Point-based Networks for Event Camera Classification and Regression: EventMamba

Reference 31

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unresolved
no resolver link, observed 2026-08-15T23:11:30.623587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:11:30.623587Z digest=sha256:ad48b2514486f37e6a27e5c05df632b5bfe05be7c9f231a4f8a9757c559569ba

Observation 7913c34e-2e58-4895-b456-6e1b219d4cac · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T23:11:30.628007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:11:30.628007Z digest=sha256:ff8194e27d4b2104ba017c0d75714851c12d12fd7d62df89f5f47b58ed2657bb

Observation 7e745664-1c01-4e18-b045-054994152e9b · outbound

This paper cites Single image rain removal model using pure rain dic- tionary learning.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Single image rain removal model using pure rain dic- tionary learning

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:32.101027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.632429Z digest=sha256:b4bd7f62acce8b9be2bf214a22bba9ed5d9e6a44e851c491c6f5af8fb34a8235

Observation 766538a5-2ee2-4108-91a8-92e76909f605 · outbound

This paper cites A model- driven deep neural network for single image rain removal.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining A model- driven deep neural network for single image rain removal

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:32.086162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.636553Z digest=sha256:e377716379ceb03d573f99c229d8a7b693dd2328d2970618ace484bb05e45721

Observation 3bd635dd-220d-49f6-8170-670ff104c796 · outbound

This paper cites Video deraining and desnowing using temporal correlation and low-rank matrix completion.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Video deraining and desnowing using temporal correlation and low-rank matrix completion

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:32.071502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.640833Z digest=sha256:531e38b73d927604e07f89a8f888b9d00d918d4196c266438d3d263e525a9ac6

Observation 15eb22f1-6fc8-4568-98ca-4421187b34a2 · outbound

This paper cites Transformed low- rank model for line pattern noise removal.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Transformed low- rank model for line pattern noise removal

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:32.056409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.644777Z digest=sha256:24b600692349075759ace742fa982cedc841a0c5edda63d2fc108f72b124d76f

Observation 0e81ba80-7519-4e65-a3d2-6ebedc95fcb2 · outbound

This paper cites SwinIR: Image Restoration Using Swin Transformer.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining SwinIR: Image Restoration Using Swin Transformer

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T23:11:30.649122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:11:30.649122Z digest=sha256:8d117472a82c69df80f6a26875ab93b2ac279214c89a215116261ae7d4cc3f7a

Observation 22a41e39-7cbd-4f14-890a-a4328c1dc14d · outbound

This paper cites Uformer: A general u-shaped transformer for image restoration.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Uformer: A general u-shaped transformer for image restoration

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:32.040176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.653649Z digest=sha256:6b56706993dad60b1311f87e42af33865196a3d3d1ed87f54ab71e2b40b93b03

Observation acc12767-1086-4c53-849e-2a758f828737 · outbound

This paper cites Multi-stage progressive image restoration.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Multi-stage progressive image restoration

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:32.023983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.657903Z digest=sha256:9f03fa76c6a21292f1e6738d172656a25b5b4637f1797222d1863213d9812d95

Observation 85fe0740-27c1-490c-b2da-15b143f4cd2c · outbound

This paper cites EGVD: Event-Guided Video Deraining.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining EGVD: Event-Guided Video Deraining

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-15T23:11:31.162846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.662194Z digest=sha256:be9d6b397e022261fdb76a4889cb73586e054a68fc9d28a13e87fd5d3f39f17f

Observation 0a5d33e2-8595-4cd3-a3e0-a14a11f1cd3b · outbound

This paper cites Event-aware video derain- ing via multi-patch progressive learning.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Event-aware video derain- ing via multi-patch progressive learning

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:32.007839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.666542Z digest=sha256:ecbe6b234551ce5af27ff02a0ef67981016b14e13dd9fb9de63b8b42317b1328

Observation d6f4bf92-ec8d-4bf5-8afa-7316f9d83612 · outbound

This paper cites Neuromorphic event signal- driven network for video de-raining.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Neuromorphic event signal- driven network for video de-raining

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.992695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.670869Z digest=sha256:0a596431e9794098e83769266bd50818759248026e8b558ba53a285dde9625bd

Observation 17af9d66-1a0d-46a4-99ba-5005b5789b21 · outbound

This paper cites Guided event filtering: Synergy between intensity images and neuromor- phic events for high performance imaging.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Guided event filtering: Synergy between intensity images and neuromor- phic events for high performance imaging

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.977144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.675446Z digest=sha256:0c408c4e5cdc816e83dc4cd14c217930c8bfa4b60dbb48c570a71d1eed429073

Observation 43c3946b-0b86-49c1-966b-d04145dd25b0 · outbound

This paper cites Event density based denoising method for dynamic vision sensor.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Event density based denoising method for dynamic vision sensor

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.961509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.679567Z digest=sha256:11e9608028e43bbdbf8e248fb0428f0e4ac101e69b3221501df4ec75b14e5d69

Observation d35974d9-5540-49b8-9f06-ddc3ce0367f0 · outbound

This paper cites Denoising method for dy- namic vision sensor based on two-dimensional event density.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Denoising method for dy- namic vision sensor based on two-dimensional event density

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.946896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.683671Z digest=sha256:101bf641519eef748e9e63e77f5ac91c833e92f7782652b1b2186d32be89b7ac

Observation d3270432-dadd-4766-967f-9dc55c5eb44c · outbound

This paper cites an unresolved cited work.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-15T23:11:31.930552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.688198Z digest=sha256:9bcddcb7fc752ed76b89d1863314eda5ea767867a37162126bdc422a9f6d32d4

Observation df46af93-d393-4bf6-a87d-9bd71aeb0dac · outbound

This paper cites Spatial attentive single-image deraining with a high quality real rain dataset.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Spatial attentive single-image deraining with a high quality real rain dataset

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.913272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.692500Z digest=sha256:aa062fb812fdc53c2858a901bc3a25a319dad373651f5c9961a66121e5d74a92

Observation c2295a9c-c303-4d0b-84ad-c7ba8a099cca · outbound

This paper cites Depth-attentional features for single-image rain removal.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Depth-attentional features for single-image rain removal

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.895596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.696463Z digest=sha256:d4ec18cb9e1fd25037d562c207f2be35634d85bf4783bb76d42c639699b5cbd9

Observation 8c176724-a0ba-4732-b93b-233f7ca6c397 · outbound

This paper cites Single image deraining: From model-based to data-driven and beyond.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Single image deraining: From model-based to data-driven and beyond

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.879320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.700529Z digest=sha256:35f74031250a10f675bd60f10f7a1348d408d0ec6e4bab4be0504544175683b1

Observation 56df45f8-c064-4267-9503-56ddcc059c8f · outbound

This paper cites From rain generation to rain re- moval.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining From rain generation to rain re- moval

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.862974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.704885Z digest=sha256:5974c4462dd750978056aa94d90405c686344e2c6883577b2b796466046d71d6

Observation e044747f-6c9b-4717-a9ec-55e379cd41e4 · outbound

This paper cites Unsupervised video deraining with an event camera.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Unsupervised video deraining with an event camera

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.847567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.709213Z digest=sha256:e777bcda2d87cb08dfea3d13c953c6d3154dec4d741f9a123ea28b8bf9dad49e

Observation 3754a59e-720f-4873-a96e-9f5bf9f95cb2 · outbound

This paper cites Kashyap, Tapan K.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Kashyap, Tapan K

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.830756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.713629Z digest=sha256:a2b5dfc4cfe1f5edcd669e987549b8989dce280b760a78b5310d2ae294c59b67

Observation 2655cd08-9baf-465f-9127-35fd0f0f0580 · outbound

This paper cites End-to-end learning of repre- sentations for asynchronous event-based data.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining End-to-end learning of repre- sentations for asynchronous event-based data

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T23:11:30.718139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:11:30.718139Z digest=sha256:d3d5b3d33d41317ffba4a95bbef8ea5b4927794b82e39d8fb9ee343971a199b8

Observation c254c735-ef8d-423d-817a-f43ab90abb78 · outbound

This paper cites an unresolved cited work.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-15T23:11:31.804192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.722395Z digest=sha256:d9f4881598d6fbe5e3397a46b2092baee725e98fb41ad1b290ba0b1010475f41

Observation fb6c7b18-ca18-4e9f-af42-a1c6663b96b0 · outbound

This paper cites State space models for event cameras.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining State space models for event cameras

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T23:11:30.726385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:11:30.726385Z digest=sha256:1d94650893a4c1a91cfe25bad637902bd7e1658d09d065ff88ee546a6a48b130

Observation 6fb35ba5-b13a-4b7e-ab42-660513d1320f · outbound

This paper cites Temporal binary representa- tion for event-based action recognition.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Temporal binary representa- tion for event-based action recognition

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.779317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.730368Z digest=sha256:b806f372ddf1afcf4189256d9a6032096e56f8b5f1cf5dc0e251e8084b8cefbb

Observation 26e64cf5-125d-4997-8a00-ecebaa5795f0 · outbound

This paper cites Spiking pointnet: Spiking neural networks for point clouds.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Spiking pointnet: Spiking neural networks for point clouds

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.763583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.734546Z digest=sha256:c23a18adc5c09eef47ecf5bba7421faf8acafeff972034fc324b20339a3c8886

Observation b81672ee-b728-4f83-880a-a104ff7207c1 · outbound

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

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T23:11:30.738328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:11:30.738328Z digest=sha256:bb0255e5add62c42094fdb504e59f60fedf18ab2b8bcc35975d409bd810e6f7c

Observation 755873b3-de0b-4286-8c61-ef9f3c90b08d · outbound

This paper cites Low latency auto- motive vision with event cameras.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Low latency auto- motive vision with event cameras

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.737867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.742985Z digest=sha256:3c38ac5936294730df457173b3bb9de41dd3d9bebda3ff446d5cdcff176f1a47

Observation 912a6bf8-ab78-4107-8ab4-6b3505529297 · outbound

This paper cites Esl-snns: An evolutionary structure learning strategy for spiking neural networks.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Esl-snns: An evolutionary structure learning strategy for spiking neural networks

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.720961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.747067Z digest=sha256:176a666704f4af73c29e9bfd552d31eba6b59206b537dad02644d2614534aa02

Observation 97cc124d-a93d-4cec-8496-c9720e1aec34 · outbound

This paper cites FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-15T23:11:30.751219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:11:30.751219Z digest=sha256:123727b3801569067574e70febdae5ac2de9cc0dc3d6b92933bf28ca718bf21d

Observation ef2b1773-5f91-4927-b4d6-0f0422ce0790 · outbound

This paper cites Mambair: A simple baseline for im- age restoration with state-space model.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Mambair: A simple baseline for im- age restoration with state-space model

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.698976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.755727Z digest=sha256:f2ca0ce9d0d0ea6ba88732492d1707894e36eb3af2cd19d624cc2086761a659e

Observation 246c87c7-2ff7-4051-b98a-8eec5e36919c · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-15T23:11:30.759741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:11:30.759741Z digest=sha256:83be6df82ff5211358236a2df1f42632d3b02b44a1d2cd000292572cdf03ce07

Observation 437b70e6-c7a5-4a49-a107-dcc7e5004436 · outbound

This paper cites A Hybrid Transformer-Mamba Network for Single Image Deraining.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining A Hybrid Transformer-Mamba Network for Single Image Deraining

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-15T23:11:30.764087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:11:30.764087Z digest=sha256:361c68a12e5d0d5737546498751a9a1b0fa87e1d428e678f85f8c664d03cc5c6

Observation 0e790106-b789-41e2-9bbc-3a7c1baf5709 · outbound

This paper cites Multi- scale representation for image deraining with state space model.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Multi- scale representation for image deraining with state space model

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.682882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.768527Z digest=sha256:ecdf9f009b1ba3ca095c2175b29ebcd6be71aa8ec450e7fb3189d91262430a2c

Observation 8ff15622-25ad-4b3f-a3e5-b02a2e1ba226 · outbound

This paper cites Edformer: Transformer-based event denois- ing across varied noise levels.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Edformer: Transformer-based event denois- ing across varied noise levels

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.665504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.773296Z digest=sha256:b84d58b84047f6a848e96cdb569b26beb1cd0900ff4fe14c94d4361daa85594e

Observation 16ece8d6-c801-4787-81da-8dffb2c19c7a · outbound

This paper cites Point transformer.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Point transformer

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.648961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.881090Z digest=sha256:5f3d2ad639c6920d85cb28e436565f9333024a82726c56defa63cbcda9bc77a1

Observation 645c0774-0e11-43fc-b068-cb5dc2dac240 · outbound

This paper cites Point transformer v2: Grouped vector atten- tion and partition-based pooling.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Point transformer v2: Grouped vector atten- tion and partition-based pooling

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.631912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.885715Z digest=sha256:9109a4eb8c32e14e98da216673bf98210c584d0a28547bc20c43fc2b9c40643f

Observation 3dfe302b-7831-4921-a08a-8b673bb42fa7 · outbound

This paper cites Mamba-Spike: Enhancing the Mamba Architecture with a Spiking Front-End for Efficient Temporal Data Processing.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Mamba-Spike: Enhancing the Mamba Architecture with a Spiking Front-End for Efficient Temporal Data Processing

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-08-15T23:11:31.085013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.890223Z digest=sha256:01f4cd7263e8dda264c3fdb9d76e29ee39b5588fae52ffb7346f4038582850e3

Observation 9effc1b4-40a6-42cf-9d9e-bc0942695883 · outbound

This paper cites Mambamos: Lidar-based 3d moving object segmentation with motion- aware state space model.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Mambamos: Lidar-based 3d moving object segmentation with motion- aware state space model

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.615469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.894721Z digest=sha256:279cd746f987079ec73cfe29d560e59b2a1135922b8cd81c849efe2e6b43ecbf

Observation 6475866f-fcd8-4df9-9843-b33c5bb9b9bb · outbound

This paper cites Trans- former quality in linear time.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Trans- former quality in linear time

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.598959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.899006Z digest=sha256:0b7371524b7f722f7f051cf17459a6aef38750b05e9b134af7e46de9a2c3cda2

Observation d1afbc95-b847-4ea0-8801-4aeed12d5bca · outbound

This paper cites CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change Detection

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-15T23:11:30.903197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:11:30.903197Z digest=sha256:a19540b3f4f2867e579850128904b6372915ffe9963c4821f197771f2c04774f

Observation 20272ce7-8163-4f26-aa61-6d3260c2e33e · outbound

This paper cites Wavelet-based dual-branch network for image demoir ´eing.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Wavelet-based dual-branch network for image demoir ´eing

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.580287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.907517Z digest=sha256:2980866a3c18664e61fdc8a1512e7409ad33154a90c25fe3e70689d15e309c9a

Observation ae255f59-7408-412e-9c6a-dcd1a2c65b43 · outbound

This paper cites FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-15T23:11:30.912001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:11:30.912001Z digest=sha256:3a52b967e2d253a5b433881fbd34e0b0833f4c084f2be2439f7aabb0bfe7c119

Observation 5e3136e8-4bb6-44c8-a941-6f89f1cfa0a0 · outbound

This paper cites Focal frequency loss for image reconstruction and synthesis.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Focal frequency loss for image reconstruction and synthesis

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T23:11:30.916793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:11:30.916793Z digest=sha256:2c7f6f27fcc9ccf5defbe59c2fd37be7edc7c6212e0724ea09c8cb389a1606a5

Observation fc5428a7-56a9-43c3-bd97-6f319b94d95c · outbound

This paper cites Smartspr: A physics-informed mobile sprinkler scheduling system for re- ducing urban particulate matter pollution.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Smartspr: A physics-informed mobile sprinkler scheduling system for re- ducing urban particulate matter pollution

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.551731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.921128Z digest=sha256:82ce807341d5716fc42c61023abf5dca94209feb6b382f1029dc004f750be3e1

Observation 9c633d21-1de2-48ba-97e1-f7f4e1e576bb · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-15T23:11:30.925384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:11:30.925384Z digest=sha256:921db64a060088882d885dc55e3ca83e67da4288bf94ce815d7c946f1c0e62ef

Observation c6ce2d0d-0ebf-4d6c-92a3-0559faf4653f · outbound

This paper cites Robust video content alignment and compensation for rain removal in a cnn framework.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Robust video content alignment and compensation for rain removal in a cnn framework

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.523720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.929391Z digest=sha256:7a8b6f1284d8822019034a6bf770b329c2404ef6526c9e21139d43cb5d651695

Observation 3b249783-b3d0-4eba-8afd-a474ccfb86b7 · outbound

This paper cites Rain rendering for evaluating and improving robustness to bad weather.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Rain rendering for evaluating and improving robustness to bad weather

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.507468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.933602Z digest=sha256:2fc9a15c6f7ce55547aad12d4122eb0cdb84f17b50f81d47c625cd76770421bc

Observation 41dca15f-80fd-4351-982a-7c43017ce001 · outbound

This paper cites Adobe after effects software, 2023.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Adobe after effects software, 2023

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.493142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.937415Z digest=sha256:342127fed6dd2d0d8e92dce8b7dca7460ba4f1e69b96e8d07c57a280dff03bba

Observation 4cc2e282-267a-4fb0-b93e-fb59e4ae03ef · outbound

This paper cites Video to events: Recycling video datasets for event cameras.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Video to events: Recycling video datasets for event cameras

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.478290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.941873Z digest=sha256:b149f3a4dc71eea8733fd34337b31907d2e68dac8a7a986fdbd42e98b285bea3

Observation f98891f2-67ed-4335-b813-6815c4bab98e · outbound

This paper cites A 128× 128 1.5IEEE Journal of Solid-State Circuits, 48(3): 827–838, 2013.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining A 128× 128 1.5IEEE Journal of Solid-State Circuits, 48(3): 827–838, 2013

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.463530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.946273Z digest=sha256:668ed5118696be81aa238efb7e20b7e3455893cbc7158547ad1c080574566d95

Observation 03fcd135-0b8b-4a82-ad72-d8be4d316d68 · outbound

This paper cites Low cost and latency event camera background activity denoising.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Low cost and latency event camera background activity denoising

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.448332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.950663Z digest=sha256:eaefb4167b3ff846bf35d14313e23401d91b14eb7acca990a12cb4b834befbf3

Observation 1c3930b5-b3a8-4ec9-b437-e1e08a028bcd · outbound

This paper cites o(n)o(n)-space spatiotemporal filter for reducing noise in neuromorphic vi- sion sensors.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining o(n)o(n)-space spatiotemporal filter for reducing noise in neuromorphic vi- sion sensors

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.431359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.955822Z digest=sha256:52f6a0e00c7a44cf794180bd437a360f19a578b6e81ba0dad071ad91aa61a778

Observation ef4a6967-6627-4b57-9264-1dd0f4397335 · outbound

This paper cites Event density based denoising method for dynamic vision sensor.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Event density based denoising method for dynamic vision sensor

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.416347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.960336Z digest=sha256:07996efbdcbb9a4c3021f4e1089cf67357f01105ca011cb018115a8bdcf21ad9

Observation 97ebac2e-40b4-4c1a-b619-551020653085 · outbound

This paper cites Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras

Reference 86

Resolution
verified exact
local_arxiv, observed 2026-08-15T23:11:31.028111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.964612Z digest=sha256:813469dbee5db8015bf8c286e36d678ec5179749f635779fe38dc2181bbd5fbf

Observation ad23c43b-d114-4a97-9ea5-a53197190a5f · outbound

This paper cites Aednet: Asynchronous event denoising with spatial-temporal correlation among irregular data.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Aednet: Asynchronous event denoising with spatial-temporal correlation among irregular data

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.401492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.969177Z digest=sha256:f9ef877fcde5ea4d1855293eedb5f2d329dfab8af5e54fae0f286ef20c5a582b

Observation f7c36949-a258-43a2-b5c9-b19feebb9485 · outbound

This paper cites Ddl: Empowering delivery drones with large-scale urban sensing capability.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Ddl: Empowering delivery drones with large-scale urban sensing capability

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.385000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.973619Z digest=sha256:6f27b601cd7fecece04f849760b3344ed45fca3d97e21cebd5b95ed58bbf3be6

Observation 8e4e7ca9-f7e8-4c14-a932-15541984b355 · outbound

This paper cites Soscheduler: Toward proac- tive and adaptive wildfire suppression via multi-uav collabo- rative scheduling.

PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining Soscheduler: Toward proac- tive and adaptive wildfire suppression via multi-uav collabo- rative scheduling

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:11:31.369124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:11:30.978188Z digest=sha256:e5e390e17fcdc126e3e97d92ddb004092549f151884b940ff6667f7bbc6db452

Pith citing papers

Observation f9fe2fe9-a34e-42e6-990c-2a9e193872ef · inbound

EDmamba: Rethinking Efficient Event Denoising with Spatiotemporal Decoupled SSMs cites this paper.

EDmamba: Rethinking Efficient Event Denoising with Spatiotemporal Decoupled SSMs PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-15T23:10:18.215203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:10:17.833994Z digest=sha256:c3883fa9f71fa199ce38000b73f5f774b36820d0ad41936d9909694cf62024b5