Paper Citation Record · LEDGER

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block

As of 13 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2507.19948.

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

pith.paper-citation-record.v1
2507.19948 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:54:21.916470Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

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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

41 of 41 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c0f9675d-3700-4c93-af06-71262332d20f · outbound

This paper cites A 240 180 130 db 3 s latency global shutter spatiotemporal vision sensor.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block A 240 180 130 db 3 s latency global shutter spatiotemporal vision sensor

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.681653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8324a510-352f-4816-8ce5-fab005e84dc9 · outbound

This paper cites Single-image depth perception in the wild.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Single-image depth perception in the wild

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.665161Z

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Observation 15d93c8a-b9be-41c2-a28f-178f2389e999 · outbound

This paper cites Strip attention for image restoration.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Strip attention for image restoration

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.648104Z

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Observation cbb2f8dd-8a5b-487a-94de-5d13638aafbb · outbound

This paper cites Multi-modal fusion of event and rgb for monocular depth estimation using a unified transformer-based architecture.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Multi-modal fusion of event and rgb for monocular depth estimation using a unified transformer-based architecture

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.629985Z

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Observation 368ca4bf-e8ca-4ae0-9abe-a8d30257c1f5 · outbound

This paper cites Davit: Dual attention vision transformers.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Davit: Dual attention vision transformers

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.611492Z

Source-reported events for the cited work

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Observation 9448790d-4049-4502-b3b0-20d9eeefa82c · outbound

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

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block An image is worth 16x16 words: Transformers for image recognition at scale

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.593465Z

Source-reported events for the cited work

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Observation 8d9ef0e6-3740-48de-9db4-ec97e325d155 · outbound

This paper cites Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.574502Z

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Observation 70771151-7c3d-4599-9f21-bece7d000bdb · outbound

This paper cites Depth map prediction from a single image using a multi-scale deep network.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Depth map prediction from a single image using a multi-scale deep network

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.549931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b2bb0fe1-8dc5-4606-b024-642e10d90f8d · outbound

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

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block A unifying contrast maximization framework for event cameras, with applications to motion, depth, and optical flow estimation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.527661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 57772025-0ba4-4ab5-8d6e-c428d670c45b · outbound

This paper cites Combining events and frames using recurrent asynchronous multimodal networks for monocular depth prediction.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Combining events and frames using recurrent asynchronous multimodal networks for monocular depth prediction

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.506833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9c40dafd-800e-44ba-91a8-d50c916414a8 · outbound

This paper cites Unsupervised monocular depth estimation with left-right consistency.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Unsupervised monocular depth estimation with left-right consistency

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.487885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 01986c6a-1be8-4c29-ad06-c3138b0dea2c · outbound

This paper cites Monocular depth estimation through virtual-world supervision and real-world sfm self-supervision.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Monocular depth estimation through virtual-world supervision and real-world sfm self-supervision

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.468330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7b3ce649-e80a-4a4a-814d-7288aaf2433b · outbound

This paper cites Hierarchical neural memory network for low latency event processing.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Hierarchical neural memory network for low latency event processing

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.450018Z

Source-reported events for the cited work

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Observation 659cd39e-a998-4e36-a0e6-6bff32b02a1f · outbound

This paper cites Learning monocular dense depth from events.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Learning monocular dense depth from events

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.426551Z

Source-reported events for the cited work

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Observation d0440da6-8388-422a-9cc3-2dd4825662c9 · outbound

This paper cites Look deeper into depth: Monocular depth estimation with semantic booster and attention-driven loss.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Look deeper into depth: Monocular depth estimation with semantic booster and attention-driven loss

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.405079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 395eef85-9f93-4922-b67a-70f41d772f05 · outbound

This paper cites Real-time 3d reconstruction and 6-dof tracking with an event camera.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Real-time 3d reconstruction and 6-dof tracking with an event camera

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.384808Z

Source-reported events for the cited work

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Observation 564cfae4-920a-4250-bef5-fda9a59df371 · outbound

This paper cites Multi-loss rebalancing algorithm for monocular depth estimation.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Multi-loss rebalancing algorithm for monocular depth estimation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.363524Z

Source-reported events for the cited work

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Observation 4e242f73-8786-426a-9aed-10cbb02aa668 · outbound

This paper cites Megadepth: Learning single-view depth prediction from internet photos.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Megadepth: Learning single-view depth prediction from internet photos

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.342417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a1af8287-d36b-43f5-a3f8-ea8528c5dbce · outbound

This paper cites Srfnet: Monocular depth estimation with fine-grained structure via spatial reliability-oriented fusion of frames and events.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Srfnet: Monocular depth estimation with fine-grained structure via spatial reliability-oriented fusion of frames and events

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.314053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7097f92b-c3c3-40ff-b9eb-1802f64b03d5 · outbound

This paper cites Vision transformers for dense prediction.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Vision transformers for dense prediction

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.291487Z

Source-reported events for the cited work

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Observation b5272c4a-1857-4698-8182-7de860d9551a · outbound

This paper cites Emvs: Event-based multi-view stereo—3d reconstruction with an event camera in real-time.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Emvs: Event-based multi-view stereo—3d reconstruction with an event camera in real-time

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.270843Z

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Observation d7564038-f399-4995-afe0-98cdf72f37c4 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block U-net: Convolutional networks for biomedical image segmentation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.252975Z

Source-reported events for the cited work

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Observation 07662d97-8ec7-4249-a7e9-8c884291c17c · outbound

This paper cites Event transformer.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Event transformer

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.231731Z

Source-reported events for the cited work

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Observation dc54b3ba-e79f-497e-9529-94cdfd8957b8 · outbound

This paper cites Event transformer+.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Event transformer+

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.195205Z

Source-reported events for the cited work

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Observation 7879a019-a545-4984-9332-a1e9ebdbb54a · outbound

This paper cites Iebins: Iterative elastic bins for monocular depth estimation.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Iebins: Iterative elastic bins for monocular depth estimation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.162127Z

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Observation 7b272c49-f829-403d-b483-a35fa491de25 · outbound

This paper cites Improved event-based dense depth estimation via optical flow compensation.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Improved event-based dense depth estimation via optical flow compensation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.135155Z

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Observation 6f853e6e-fbdd-49ec-a2ca-f59b10ce0be6 · outbound

This paper cites Even: An event-based framework for monocular depth estimation at adverse night conditions.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Even: An event-based framework for monocular depth estimation at adverse night conditions

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.096563Z

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Observation b8a12e5e-549e-425a-979d-d9073455d92e · outbound

This paper cites Generating text with recurrent neural networks.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Generating text with recurrent neural networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.078796Z

Source-reported events for the cited work

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Observation 3d9875b7-a1d7-4094-b04e-82cd44def8ef · outbound

This paper cites Perception and navigation in autonomous systems in the era of learning: A survey.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Perception and navigation in autonomous systems in the era of learning: A survey

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.055390Z

Source-reported events for the cited work

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Observation 6bc0ef26-2617-4503-ba15-322acfa698e4 · outbound

This paper cites Learning an event sequence embedding for dense event-based deep stereo.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Learning an event sequence embedding for dense event-based deep stereo

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.030510Z

Source-reported events for the cited work

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Observation 8175dc8a-ea29-4731-ac00-c99597959f1e · outbound

This paper cites Sdc-depth: Semantic divide-and-conquer network for monocular depth estimation.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Sdc-depth: Semantic divide-and-conquer network for monocular depth estimation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:24.009051Z

Source-reported events for the cited work

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Observation 7db456cb-306b-4867-b4f1-3953db1cf33f · outbound

This paper cites Cliffnet for monocular depth estimation with hierarchical embedding loss.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Cliffnet for monocular depth estimation with hierarchical embedding loss

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:23.773161Z

Source-reported events for the cited work

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Observation de09bdc8-dc9b-4512-96f2-073036791045 · outbound

This paper cites Dual transfer learning for event-based end-task prediction via pluggable event to image translation.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Dual transfer learning for event-based end-task prediction via pluggable event to image translation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:23.521375Z

Source-reported events for the cited work

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Observation f88ccc2c-5a77-4437-889a-a45ed1728dc2 · outbound

This paper cites GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation

Reference 34

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Observation 2e0b45bd-a256-4823-a8f6-3b9c539b1a3f · outbound

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UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Smooth-guided implicit data augmentation for domain generalization

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:23.305053Z

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Observation da17556e-b82c-414b-a027-0e746ba14e9e · outbound

This paper cites Student becoming the master: Knowledge amalgamation for joint scene parsing, depth estimation, and more.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Student becoming the master: Knowledge amalgamation for joint scene parsing, depth estimation, and more

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:23.122014Z

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Observation 867f9601-900e-400d-ba80-0260c0913551 · outbound

This paper cites Monovit: Self-supervised monocular depth estimation with a vision transformer.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Monovit: Self-supervised monocular depth estimation with a vision transformer

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:22.910782Z

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Observation 6d9cceb2-85ec-4a99-b7a4-2519546b43b8 · outbound

This paper cites The multivehicle stereo event camera dataset: An event camera dataset for 3d perception.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block The multivehicle stereo event camera dataset: An event camera dataset for 3d perception

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:22.705963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5c298af5-8510-4632-bb51-89978d212d55 · outbound

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

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Unsupervised event-based learning of optical flow, depth, and egomotion

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:22.556415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b00030da-29fb-4195-bee4-34cd08d71705 · outbound

This paper cites Self-supervised event-based monocular depth estimation using cross-modal consistency.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block Self-supervised event-based monocular depth estimation using cross-modal consistency

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:54:22.376257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 161a1423-b1c2-46b2-b227-c960d0559eaa · outbound

This paper cites write newline.

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block write newline

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T13:54:21.916470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.