Paper Citation Record · LEDGER

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation

As of 11 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2605.25570.

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

pith.paper-citation-record.v1
2605.25570 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T22:59:44.010125Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

37 of 37 outbound references displayed

verified exact2
verified fuzzy0
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dd33282e-173e-418e-b8dd-4624b45838a3 · outbound

This paper cites Simultaneous optical flow and intensity estimation from an event camera.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Simultaneous optical flow and intensity estimation from an event camera

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af332a86-a5d9-4bea-a5e8-4ca12a77bd5a · outbound

This paper cites Event-based visual flow.IEEE transactions on neural networks and learning systems, 25 (2):407–417, 2013.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Event-based visual flow.IEEE transactions on neural networks and learning systems, 25 (2):407–417, 2013

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58a91fa9-ca54-41a0-8bf0-8734d0926d9e · outbound

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

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Spatio-temporal recurrent networks for event-based optical flow estimation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa5e954a-d2aa-4a7d-8dd6-a05846fb5b8d · outbound

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

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation A unifying contrast maximization framework for event cam- eras, with applications to motion, depth, and optical flow estimation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 090a935a-6ed7-474d-917c-9858a5772f85 · outbound

This paper cites Event-based vision: A survey.IEEE transactions on pattern analysis and machine intelligence, 44(1):154–180, 2020.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Event-based vision: A survey.IEEE transactions on pattern analysis and machine intelligence, 44(1):154–180, 2020

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8cb9c9a-b675-424e-9567-7b63da7f0e93 · outbound

This paper cites Dsec: A stereo event camera dataset for driv- ing scenarios.IEEE Robotics and Automation Letters, 6(3): 4947–4954, 2021.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Dsec: A stereo event camera dataset for driv- ing scenarios.IEEE Robotics and Automation Letters, 6(3): 4947–4954, 2021

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0304c80c-95cf-4ffc-b7a0-a212bfcfa257 · outbound

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

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation E-raft: Dense optical flow from event cam- eras

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be2a1e81-807c-4fd2-b7d9-01f086b36879 · outbound

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

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Dense continuous-time optical flow from event cameras

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd27bfd7-19a0-48c7-8842-3e5766b73a32 · outbound

This paper cites Unsupervised joint learning of optical flow and intensity with event cameras.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Unsupervised joint learning of optical flow and intensity with event cameras

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04f3c0c3-2020-4a18-a8cc-152cf26933d5 · outbound

This paper cites Motion- prior contrast maximization for dense continuous-time mo- tion estimation.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Motion- prior contrast maximization for dense continuous-time mo- tion estimation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c3cc279-ad2c-4042-8c80-47180ed69cc4 · outbound

This paper cites Event-based video frame interpolation with cross- modal asymmetric bidirectional motion fields.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Event-based video frame interpolation with cross- modal asymmetric bidirectional motion fields

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e588a3a-ae54-4f41-9610-1e5dddfab658 · outbound

This paper cites Kingma and Jimmy Ba.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Kingma and Jimmy Ba

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 798b1940-ddf3-411d-a7e4-ffc2cca2a2b7 · outbound

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

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Spike- flownet: event-based optical flow estimation with energy- efficient hybrid neural networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 400e6865-62bf-44f8-9887-b9b442a9ca92 · outbound

This paper cites Blinkflow: A dataset to push the limits of event-based optical flow estimation.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Blinkflow: A dataset to push the limits of event-based optical flow estimation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd439e98-e114-4952-ae2b-4f1b40fb89ea · outbound

This paper cites Flow-Guided Sparse Transformer for Video Deblurring.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Flow-Guided Sparse Transformer for Video Deblurring

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:04:01.110982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 07532c26-69d8-4227-893e-93eddd51777a · outbound

This paper cites Edcflow: Exploring temporally dense difference maps for event-based optical flow estimation.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Edcflow: Exploring temporally dense difference maps for event-based optical flow estimation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f59164f-30c8-445b-b94a-36d1ba5ac83f · outbound

This paper cites Tma: Temporal motion aggregation for event-based optical flow.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Tma: Temporal motion aggregation for event-based optical flow

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01123584-948f-4935-9ace-d2fb45210134 · outbound

This paper cites An iterative image reg- istration technique with an application to stereo vision.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation An iterative image reg- istration technique with an application to stereo vision

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3ecc734-b64e-4d32-a047-e3a501e67b99 · outbound

This paper cites Learning optical flow from event camera with rendered dataset.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Learning optical flow from event camera with rendered dataset

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e788aab-6367-4df8-b00e-78ede7980ec4 · outbound

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

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Efficient meshflow and opti- cal flow estimation from event cameras

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee5030ca-ed60-4fa2-95e9-06c5cbdcbc09 · outbound

This paper cites Lifetime estimation of events from dynamic vision sensors.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Lifetime estimation of events from dynamic vision sensors

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 119525dc-b373-4c38-b52e-bb9c8435f055 · outbound

This paper cites Taming contrast max- imization for learning sequential, low-latency, event-based optical flow.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Taming contrast max- imization for learning sequential, low-latency, event-based optical flow

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90e68945-d69d-4c2a-8fa6-b8e3f8d63f98 · outbound

This paper cites Planar object tracking via weighted optical flow.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Planar object tracking via weighted optical flow

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8571c79-dfd2-41a0-b631-3fff8e914c6a · outbound

This paper cites Secrets of event-based optical flow.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Secrets of event-based optical flow

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ebefbc1-4581-4efe-8510-1827adba8c7e · outbound

This paper cites Smith and Nicholay Topin.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Smith and Nicholay Topin

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc995500-2c69-4b3f-8e2e-78e690f9fd91 · outbound

This paper cites Reducing the sim-to-real gap for event cam- eras.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Reducing the sim-to-real gap for event cam- eras

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f441331e-29b6-4373-aa9a-60a652254bf9 · outbound

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

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Raft: Recurrent all-pairs field transforms for optical flow

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cafcce88-d7f3-4f51-8fd5-0744bfe8f247 · outbound

This paper cites Time lens: Event-based video frame interpo- lation.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Time lens: Event-based video frame interpo- lation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8136b2a1-2995-4352-9be5-6d44961fcd01 · outbound

This paper cites Time lens++: Event-based frame interpolation with paramet- ric non-linear flow and multi-scale fusion.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Time lens++: Event-based frame interpolation with paramet- ric non-linear flow and multi-scale fusion

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc180c22-9926-4d9b-9e4a-cd33239c6108 · outbound

This paper cites Learning dense and continuous optical flow from an event camera.IEEE Transactions on Image Processing, 31:7237–7251, 2022.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Learning dense and continuous optical flow from an event camera.IEEE Transactions on Image Processing, 31:7237–7251, 2022

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbd8830c-fe1a-4a64-a4d1-fe3fe78fa543 · outbound

This paper cites Lightweight event-based optical flow estimation via iterative deblurring.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Lightweight event-based optical flow estimation via iterative deblurring

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02150e1e-b042-4afe-b8cd-da4003581d4c · outbound

This paper cites Folt: Fast multiple object tracking from uav- captured videos based on optical flow.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Folt: Fast multiple object tracking from uav- captured videos based on optical flow

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ee6bf73-d76c-4ba6-b9d8-5da681450cd1 · outbound

This paper cites Towards anytime optical flow estimation with event cameras.Sensors, 25(10): 3158, 2025.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Towards anytime optical flow estimation with event cameras.Sensors, 25(10): 3158, 2025

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b896c10-d526-48d0-9d8a-4fc8e6648222 · outbound

This paper cites Spatio- temporal deformable attention network for video deblurring.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Spatio- temporal deformable attention network for video deblurring

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c17bc42-7db5-4dea-8e0e-f13fd79aea47 · outbound

This paper cites Resflow: Fine-tuning residual optical flow for event-based high temporal resolution motion estimation.IEEE Transactions on Circuits and Systems for Video Technology, 2025.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation Resflow: Fine-tuning residual optical flow for event-based high temporal resolution motion estimation.IEEE Transactions on Circuits and Systems for Video Technology, 2025

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 780a4d7d-fcd6-48a4-a644-740613fb7cf0 · outbound

This paper cites The multi- vehicle stereo event camera dataset: An event camera dataset for 3d perception.IEEE Robotics and Automation Letters, 3 (3):2032–2039, 2018.

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation The multi- vehicle stereo event camera dataset: An event camera dataset for 3d perception.IEEE Robotics and Automation Letters, 3 (3):2032–2039, 2018

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-29T22:59:44.010125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 317b1c9c-9b50-42ed-84f4-b5ba63240093 · outbound

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

From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-06-29T23:04:01.114974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.