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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

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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

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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 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:28:28.072406Z digest=sha256:72dc1f37981728b6989c4c7cc4358cc90a098d1d58ee9c6c7f1fb53b81f125ac

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:28.500438Z digest=sha256:aa008381db1534d2e43558d902fd0884df34b281eb569ed02bc84cf6c64b8da0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:28:28.582994Z digest=sha256:ae9041e5e6575d44787e14743f5948214f89196089cdf1cd18bbf8e1f5718b03

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=sha256:7ea32b2a91616cbc0da6921c16ce3aa02e57dd77d6afc57ba6b6ea31274a6c98

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

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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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:28:28.757890Z digest=sha256:b3faaea78af2c2ef75c9d3d93ebc5c14f4c738a2339542d19f5b28c2b58d0610

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

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:28.840621Z digest=sha256:7948289e66a96f1468ea9215a47e50d647314abac8d0a65e6dd3c9384ac0a329

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 2026-08-08T06:32:00.761636+00:00.

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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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:28:29.000822Z digest=sha256:8f0b942c1288aa1e48ffe1656169071058790b8830a6e4d7f6574baa8f3f6500

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

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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=sha256:03938ba5c04754a2a0936b6565a827f97687c5534dab810ddf8f4ce4d7e6af01

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=sha256:6892efc30b9cf8a6536db3abd35f439db2f3be9896c984e1d5ea87568098ed21

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:28:29.258188Z digest=sha256:bca5f471122451fe97542c972e0d0054e015845cc755478135304acde0143f64

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:f3f72616fd8febbb5075646cdceebd8a7a0b8a778bb016f507127bab5c12618e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:28:29.389845Z digest=sha256:11334f4a822631664f658764e1684300fc1b0c4d2fd5c98d70c76f42347c5e42

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:28:29.444837Z digest=sha256:c4c0585ecf83b7127338e5743e8b9cab96525e5ab6c622309a33210a8e930a96

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:28:29.522463Z digest=sha256:311494e062ed7b5b9f1c8c2a0564150e3962f21aa03fd2c5b72f9d9c17cd6d68

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=sha256:17571e8305b31ae18326966c12598b23fa22fc1bf43d29daa1633d88e9dea155

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:28:29.716052Z digest=sha256:ba9dbfe76e25daf485d1e46a61fb3fdec456bc6830603abb5e25d6bfe8a7bd37

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=sha256:2614743d125eedb2f2bafb8dad30ac423c032baa71d99ec0df00cb7395b04207

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:28:29.856585Z digest=sha256:48e04cc386c1af69ec9f2988e6e69c09ddaf03d6dd92e082eafd65ceb2c08b56

Pith citing papers

No inbound Pith citation observations are available.