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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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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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 2026-08-14T06:32:32.682623+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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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unresolved
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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:28:27.780704Z digest=sha256:a8072177c355abb00b5f2ba38593df1487f713a4564c7f55bfb7f8b9132fc736

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:28:27.876551Z digest=sha256:a93da0a4163d1599082cc085f688b8959739093d5d60d08b40b6c73065cf2de9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:28:27.970176Z digest=sha256:879fe285e124b5f2ba4b4dfba7f35a5ea55c7ded2a3dfe9c98bca1f699d904c1

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:28:28.072406Z digest=sha256:d2b4d21b91df2edb66adad5d415764489fee20672de9d93e15744da2b41b3774

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:28:28.144818Z digest=sha256:bb8f4670fca97c455de7bb44afe628b2ca077b1aff957d8e9c73d77377975ff5

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:28:28.215387Z digest=sha256:fe11c7ccf549966921767155bd56508e1513bf41875650dc5b7c856b5f89e56c

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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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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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:c5b38b76ca4dc37d272179c52b13645dd2c09ea1460009009aaf6491cbed6d0d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:28:28.582994Z digest=sha256:a4c2091f75c4c05317f995909a5e6f76d1b36c8e90bae41db667da5a203a7dd3

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:e0da03e1f03000dc535b9ab8b901f841fd5e636fa98c353824d643abc2003078

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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:28:28.757890Z digest=sha256:b3ecfb2cf6bbd4f8e50091d5fcf6239f5326545fbd697319eb118ed0d0f598d3

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
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=sha256:4c860f8025c067f22b3efeb0335e254aa0b948c76654def2a3d0a40a7ffd3381

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 2026-08-14T06:32:32.682623+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

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:28:29.000822Z digest=sha256:f73588fbabde990a09f72a459f6426523cf0f2bf62386c208288b95c1d48aa59

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:f6c10d2681a0f102262776795288fc82753be454e323bbebee6e40cbad6937c2

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=sha256:693856bb30b1a5aef8c180552b7ae230de51462147e6462153a481bbb7cf9d70

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:28:29.258188Z digest=sha256:e29657528ea927e787f092f050405ecf42f26b248db4470b014676dfa1947e09

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

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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=sha256:548a7067c210d1dd4e80dab269a6dd04a8aecef5563dfde6c8442d018be5fb0b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:28:29.389845Z digest=sha256:616da0bb6894a0db2c650ecd7b23c6a91472e7a00e308d3c7a80b928202abd92

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:28:29.444837Z digest=sha256:abaf2bc41d063728d2031b18e691e3e24dbe800b0b83a5d1fedfa9ce657cbc3a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:28:29.522463Z digest=sha256:0117eb9d4c2d4c2e15ecf2a9950ea644fbb297c906ce3aeaa1c1af432004e9db

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:d39b6eb862bcb41458c6d56e2fec7adeff29eb44debfe69eac7ba3ee94712892

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:28:29.716052Z digest=sha256:6e1108c50eac5c10a83f33013bdf051e03de10f319bd94833398634602a2b16c

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:f1ecf539191efb9e75d9f08e8b053e40eb833b88066cd2aad53a70324240bdb5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T05:28:29.856585Z digest=sha256:670624992e44e276cab5e4b1f9b5ea0ead153bbdf92850a81da15f7937559024

Pith citing papers

No inbound Pith citation observations are available.