Pith. sign in

Paper Citation Record · LEDGER

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2506.07878.

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

pith.paper-citation-record.v1
2506.07878 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:28:29.856585Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

  • verified exact3
  • verified fuzzy26
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f612e2e4-d805-40a3-99da-ddf5866efde9 · outbound

This paper cites Speech recognition using biologically-inspired neural net- works.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Speech recognition using biologically-inspired neural net- works

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:34.838681Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:27.052742Z digest=sha256:3fe83d4a1ba1b3e6e96b70490c61598bcde8cb4308747fb14a2bb7dd140d6dfe

Observation 3364c83c-966c-4e33-8a10-53d670dc5a94 · outbound

This paper cites Optical flow es- timation from event-based cameras and spiking neural net- works.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Optical flow es- timation from event-based cameras and spiking neural net- works

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:34.631362Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:27.115645Z digest=sha256:9461cf3588006186d29f02236fed4010937d506d4dcda95a2179e891b14083ff

Observation 2eb28418-d17e-47a5-becd-0bdd7229cfbe · outbound

This paper cites Hugnet: Hemi- spherical update graph neural network applied to low-latency event-based optical flow.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Hugnet: Hemi- spherical update graph neural network applied to low-latency event-based optical flow

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:34.463062Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:27.190997Z digest=sha256:e2a2a82a538ab92945852ad8bbc4cf3ce488a0cea4d99127cd1a583f22094fcf

Observation 43993dc9-f81c-4622-b129-5286280d3b8d · outbound

This paper cites Spatio-temporal recurrent networks for event-based optical flow estimation.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Spatio-temporal recurrent networks for event-based optical flow estimation

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:34.316191Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:27.261835Z digest=sha256:36721914b2b7caa1a9d0c6c2199af1d1f69e9567938c372de659e6b418833c68

Observation 07a0c54a-6dc7-48f7-b78a-e3bb7df7ae66 · outbound

This paper cites Flownet: Learn- ing optical flow with convolutional networks.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Flownet: Learn- ing optical flow with convolutional networks

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:34.130205Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:27.320810Z digest=sha256:8c1ab9ff87754544ee0b33b50f1016a10927d12fff67b659b73d53884fab327d

Observation 4a646a55-9ec1-4bff-87bc-c6d9919ff105 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow An image is worth 16x16 words: Transformers for image recognition at scale

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:33.953018Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:27.394244Z digest=sha256:cfa16a0a1bac92fe59aef13bccfc1aa3386573724c848070c390b1e056bab0f2

Observation fbc0ce93-5bc2-491e-8dc6-8e06d5f5f5c1 · outbound

This paper cites A unifying contrast maximization framework for event cam- eras, with applications to motion, depth, and optical flow es- timation.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow A unifying contrast maximization framework for event cam- eras, with applications to motion, depth, and optical flow es- timation

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:33.784457Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:27.464688Z digest=sha256:66251aa57f3bf53552b5030dc2f9fc69668dc016bfe37ac79d8b3a92e4461546

Observation e245535d-7db0-4525-bc96-a48991bafd5b · outbound

This paper cites Event-based vision: A survey.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Event-based vision: A survey

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:33.619841Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:27.534471Z digest=sha256:0387928342a00318d91976b75d94ae0548edc02ddaf29edac30bf475a404983e

Observation ba6c2164-f599-4513-b8ea-31c0d5db371e · outbound

This paper cites Dsec: A stereo event camera dataset for driv- ing scenarios.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Dsec: A stereo event camera dataset for driv- ing scenarios

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:33.458475Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:27.614858Z digest=sha256:ae477fc586047fc5b1cfdcfd560a62606a6930865127436ba1f215ce76133133

Observation 8d3c50a7-590c-4127-9d31-864b826c8a05 · outbound

This paper cites E-raft: Dense optical flow from event cam- eras.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow E-raft: Dense optical flow from event cam- eras

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:33.333366Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:27.650926Z digest=sha256:bb7998be1ebcfd81b10723879046dbaa17bec0d6d849f5fd4abd07aafecaf517

Observation 6c6a99a1-c0ff-45e6-b955-361aa8aed451 · outbound

This paper cites Dense continuous-time optical flow from event cameras.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Dense continuous-time optical flow from event cameras

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:33.165799Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:27.713799Z digest=sha256:74e6ada7e96102327cfa027b3c016d2f3e7268f35eb06f75ccb17972af2d5938

Observation 65dbd927-5097-4b97-bb56-33167c670edc · outbound

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

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:27.780704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:27.780704Z digest=sha256:7bf1fad736c0f1ae60342d8d48b180d4d504972113b959ef99dc9edad003f1d5

Observation 177aba2c-186b-4b03-bdcb-c4382e4356ff · outbound

This paper cites On the parameterization and initialization of diagonal state space models.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow On the parameterization and initialization of diagonal state space models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:33.041631Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:27.876551Z digest=sha256:2c0086dfd4d220292fdd45686502fd302e22fbb15efa0ea424d74bce6f353534

Observation 3ca7d826-84fa-4abe-b84e-e6d1781ead8f · outbound

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

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Efficiently mod- eling long sequences with structured state spaces

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:32.844926Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:27.970176Z digest=sha256:aef40c3ea6454792b5b3f99877ed09e362a09b6bb00303e4ccd23c33254d4eb6

Observation 6836e267-b532-4dbf-b621-5544ff77c73f · outbound

This paper cites Self-supervised learning of event-based optical flow with spiking neural networks.Advances in Neural Infor- mation Processing Systems (NeurIPS), 34:7167–7179, 2021.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Self-supervised learning of event-based optical flow with spiking neural networks.Advances in Neural Infor- mation Processing Systems (NeurIPS), 34:7167–7179, 2021

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:32.729759Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:28.072406Z digest=sha256:cf57d46431d0a87657d4657e0751d5a45d207317b7174dbe05c7919d1a1f8101

Observation 33b0c07e-5368-4f9a-bc86-564adf383530 · outbound

This paper cites Adaptive-spikenet: event-based optical flow estimation using spiking neural net- works with learnable neuronal dynamics.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Adaptive-spikenet: event-based optical flow estimation using spiking neural net- works with learnable neuronal dynamics

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:32.580526Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:28.144818Z digest=sha256:b95a34eabffc602ee28d4770915f3734081f575d9a18e062fb2c4e59163d7aec

Observation 0f5655fa-5bd0-41ca-8f9f-c81be2402a1b · outbound

This paper cites Spike- flownet: event-based optical flow estimation with energy- efficient hybrid neural networks.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Spike- flownet: event-based optical flow estimation with energy- efficient hybrid neural networks

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:32.417536Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:28.215387Z digest=sha256:28d3746dd062254d42caad89675488e5a779593bc9ea3adc9dc51c047a6db7b6

Observation 5839ae86-68da-4190-a393-51c351f21199 · outbound

This paper cites Videomamba: State space model for efficient video understanding, 2024.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Videomamba: State space model for efficient video understanding, 2024

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:32.272393Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:28.307731Z digest=sha256:ee9ebbbb29eecdaccfbfa068c455385d943117cabb464a61d614f4286dbcd329

Observation fd147fee-e82d-4122-8377-53391febf8fb · outbound

This paper cites BlinkFlow: A Dataset to Push the Limits of Event-based Optical Flow Estimation.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow BlinkFlow: A Dataset to Push the Limits of Event-based Optical Flow Estimation

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:28:30.579555Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:28.392512Z digest=sha256:fe4cb8a8df800b62a82d3579f09eb3187932d64089f72511ad880dde038a0f3e

Observation d85850aa-f0bd-45fe-9f75-93cee0b68f28 · outbound

This paper cites TMA: Temporal Motion Aggregation for Event-based Optical Flow.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow TMA: Temporal Motion Aggregation for Event-based Optical Flow

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:28:30.435579Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:28.446404Z digest=sha256:5807d902afa44a1244995972ab466817a74ea1c6852a6d16380bb9d37ed6ab1e

Observation e6596e47-0baf-4236-bdbb-4418cf58bdf5 · outbound

This paper cites VMamba: Visual State Space Model.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow VMamba: Visual State Space Model

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:28.500438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:28.500438Z digest=sha256:34290b8c77b03b330edbaf13040a52ca944e5416b8a27615301a01ccbefe4dc2

Observation b68e09a1-f005-47c9-8e5c-1ab3a2c78253 · outbound

This paper cites Efficient meshflow and opti- cal flow estimation from event cameras.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Efficient meshflow and opti- cal flow estimation from event cameras

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:32.083567Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:28.582994Z digest=sha256:4979b54cde503ff84800478b810c8855a4352c26d5cef1e0dd6504746218c856

Observation 1241211f-f10e-4e5e-9523-a4ea58f08f93 · outbound

This paper cites Back to event basics: Self-supervised learning of image reconstruc- tion for event cameras via photometric constancy.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Back to event basics: Self-supervised learning of image reconstruc- tion for event cameras via photometric constancy

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:28.631918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:28.631918Z digest=sha256:91c895aec4191d2ce3a83e40838ee7eb320d0d390749033c2dedd8f545bb78ee

Observation 2ca5524d-de66-470a-8461-41ff65f75190 · outbound

This paper cites Taming Contrast Maximization for Learning Sequential, Low-latency, Event-based Optical Flow.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Taming Contrast Maximization for Learning Sequential, Low-latency, Event-based Optical Flow

Reference 24

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T05:28:30.252580Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:28.683241Z digest=sha256:675b2323a54042c62617e70551b9bd88abf5415b5554fe5c090d00117cbe43a3

Observation 9231df3c-09d5-450b-8196-5a92d3bdd384 · outbound

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

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Neuromorphic optical flow and real-time implementation with event cameras

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:31.889742Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:28.757890Z digest=sha256:27e919086ecebb7435f71ba9a7f31aaf48d75d4e3dc780739d1f71f316abb831

Observation 8746b51b-3df3-476a-9184-fa4375c60de9 · outbound

This paper cites Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:28.840621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:28.840621Z digest=sha256:bfc745724202fb6023d772b6e96005ed246b0656c23b76c52f8284048c19bb11

Observation 70c55dec-32f0-4464-a1c1-9830d8488d99 · outbound

This paper cites Secrets of event-based optical flow.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Secrets of event-based optical flow

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:31.752362Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:28.919224Z digest=sha256:4c9755080077bddd9b0a2fcb03b50b3623b53410ec42c5d26e8300497fe3357a

Observation ea57c3fb-f76a-481a-92fb-181f1d3d5f73 · outbound

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

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Smith, Andrew Warrington, and Scott Linder- man

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:31.583235Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:29.000822Z digest=sha256:6c0278d7e41973fb5cf764cd80f64aaedfd107e2f261bd56586699fb0f2fe037

Observation 3675cf46-6320-453a-833d-d60868cc9c99 · outbound

This paper cites Simultaneous Optical Flow and Segmentation (SOFAS) using Dynamic Vision Sensor.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Simultaneous Optical Flow and Segmentation (SOFAS) using Dynamic Vision Sensor

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:29.084312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:29.084312Z digest=sha256:092715fef4cc266048ca17e1c639dcc61d38c3a74e0d8886e441537e27b8a996

Observation f2194262-e50e-4fae-bef2-95d092678f33 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Raft: Recurrent all-pairs field transforms for optical flow

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:29.175011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:29.175011Z digest=sha256:fe5c5b9dc12838cf6ce79e43f7979ab2909ad0f015c8e2098836f4a853eb8f64

Observation 85f1e04a-4629-4c18-bcc7-50df88ea9bad · outbound

This paper cites Sdformerflow: Spatiotem- poral swin spikeformer for event-based optical flow estima- tion, 2024.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Sdformerflow: Spatiotem- poral swin spikeformer for event-based optical flow estima- tion, 2024

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:31.424938Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:29.258188Z digest=sha256:d0886504f7a3e903997b34cb0e293a9d4c5bb378660373fdc1331cd1d23726ca

Observation bd43b16f-b103-49ea-aeb1-b53e18f95772 · outbound

This paper cites Attention is all you need.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Attention is all you need

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:29.314653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:29.314653Z digest=sha256:7c2ed7bf52f0cfed13ddfd8be3b90f6502cc384616ce0458ba7f548d60b4cb6b

Observation ecfacef0-cacd-487e-9595-7bcc00504793 · outbound

This paper cites Learning dense and continuous optical flow from an event camera.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Learning dense and continuous optical flow from an event camera

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:31.169881Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:29.389845Z digest=sha256:e6e7662f417ed8091c29271eb4e39c6bf92496c4a5f6dfb13b66ab1f7852107d

Observation 40eb9980-a36f-4128-98ee-8929fbbe3269 · outbound

This paper cites Lightweight Event-based Optical Flow Estimation via Iterative Deblurring.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Lightweight Event-based Optical Flow Estimation via Iterative Deblurring

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:28:30.078223Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:29.444837Z digest=sha256:daa0c5e5d8428fbc900b29f0d7a7031ebea7720d0a33b4f2cd1d6740ffb4de3e

Observation 20b0ef50-8853-436b-a76f-56dffaa4069f · outbound

This paper cites Sa-flownet: Event-based self- attention optical flow estimation with spiking-analogue neu- ral networks.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Sa-flownet: Event-based self- attention optical flow estimation with spiking-analogue neu- ral networks

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:30.984925Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:29.522463Z digest=sha256:16ca773d3c7711adde59721b0b3338bd1e357b4383bf4c99d23bc0b6c42bbbc2

Observation a3baa019-b0c9-45e3-b8e7-614dd370d70b · outbound

This paper cites EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:29.615621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:29.615621Z digest=sha256:376f37b0701e296c480d8eba1fa34c888cf0090840a44bf3b1db60ab3c764bc2

Observation 90c021a7-bf2f-48cb-8fb9-5e14befb4297 · outbound

This paper cites Unsupervised event-based learning of optical flow, depth, and egomotion.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Unsupervised event-based learning of optical flow, depth, and egomotion

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:30.855708Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:29.716052Z digest=sha256:ea84564331bc9785b4c53f1989a363d31d7f79e5999887e75ca3e0d6ccad1a9d

Observation 7aaafc9d-93c8-4997-807c-6b24b994e36f · outbound

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

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:29.779408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:29.779408Z digest=sha256:045c52bf3039408472abf5e198bb8a367cd766af9e4c22ab10b0fdda1b8f3458

Observation 75b2c04a-130e-496e-bea2-526049ea3a60 · outbound

This paper cites State space models for event cameras.

Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow State space models for event cameras

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:28:30.699919Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:28:29.856585Z digest=sha256:1ef8ddc659c489c9a94dbac05870fed6922fac803e45e721a6ce1d0e7e58fd1b

Pith citing papers

No inbound Pith citation observations are available.