Paper Citation Record · LEDGER

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation

As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2605.24074.

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

pith.paper-citation-record.v1
2605.24074 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T15:44:45.380187Z

measured 35 of 35 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:16:21.716948Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact9
verified fuzzy24
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 24237e3b-8949-4948-973f-da91a512b6da · outbound

This paper cites Indoor segmen- tation and support inference from RGBD images,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation Indoor segmen- tation and support inference from RGBD images,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.880437Z

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 44af59d2-7d8c-4951-a490-339222b69ac8 · outbound

This paper cites SUN RGB-D: A RGB-D scene understanding benchmark suite,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation SUN RGB-D: A RGB-D scene understanding benchmark suite,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.877079Z

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 f5623cda-35a4-4eab-a483-7944b0b97761 · outbound

This paper cites Matterport3D: Learning from RGB-D data in indoor environments,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation Matterport3D: Learning from RGB-D data in indoor environments,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.878754Z

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 86a8bc93-80c6-4bc8-aeef-b71ccc0ed1c4 · outbound

This paper cites IRS: A large naturalistic indoor robotics stereo dataset to train deep models for disparity and surface normal estimation,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation IRS: A large naturalistic indoor robotics stereo dataset to train deep models for disparity and surface normal estimation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.875393Z

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 d3ed0e4b-8ed4-44ca-92ad-e6092809bfc6 · outbound

This paper cites High-resolution stereo datasets with subpixel-accurate ground truth,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation High-resolution stereo datasets with subpixel-accurate ground truth,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.901194Z

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 75b109c0-4e37-4367-98ad-e83e547a59fe · outbound

This paper cites Open challenges in deep stereo: the booster dataset,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation Open challenges in deep stereo: the booster dataset,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.902950Z

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 8324fb16-c65c-4b9a-8be9-8cd5e792fdf9 · outbound

This paper cites SynWoodScape: Synthetic surround-view fisheye camera dataset for autonomous driving,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation SynWoodScape: Synthetic surround-view fisheye camera dataset for autonomous driving,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.904603Z

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 c8c222bf-ae93-4770-8b86-eba8240d5157 · outbound

This paper cites The OmniScape dataset,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation The OmniScape dataset,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.906225Z

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 cb251faf-2fe7-45d3-bbe6-69b1fb453d90 · outbound

This paper cites 1 year, 1000 km: The Oxford RobotCar dataset,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation 1 year, 1000 km: The Oxford RobotCar dataset,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.896130Z

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 ef8281f9-a038-4864-b1f3-a1230d3270cc · outbound

This paper cites KITTI-360: A novel dataset and benchmarks for urban scene understanding in 2D and 3D,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation KITTI-360: A novel dataset and benchmarks for urban scene understanding in 2D and 3D,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.897836Z

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 cb3fc9ac-da0a-4bf3-9efb-3663aef08709 · outbound

This paper cites WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.894467Z

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 8e02531c-d41c-47b1-95e7-2cf06cf7e106 · outbound

This paper cites OmniVidar: omnidirectional depth estimation from multi-fisheye images,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation OmniVidar: omnidirectional depth estimation from multi-fisheye images,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.907952Z

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 c6ec3eab-1d48-43ad-9ab5-438bc0ba3134 · outbound

This paper cites MODE: Multi-view omnidirectional depth estimation with 360 ◦ cameras,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation MODE: Multi-view omnidirectional depth estimation with 360 ◦ cameras,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.899534Z

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 d8e657b4-b008-46e3-876e-8fc98e7c6446 · outbound

This paper cites The double sphere camera model.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation The double sphere camera model

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.890903Z

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 5a3b4e8a-4722-4d0a-8a8e-45e4c42c5dd3 · outbound

This paper cites Extending kalibr: Calibrating the extrinsics of multiple IMUs and of individual axes,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation Extending kalibr: Calibrating the extrinsics of multiple IMUs and of individual axes,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.892775Z

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 35d0b187-3a9b-4cc8-b230-8bed7ce6b457 · outbound

This paper cites Helvipad: A Real-World Dataset for Omnidirectional Stereo Depth Estimation.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation Helvipad: A Real-World Dataset for Omnidirectional Stereo Depth Estimation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:44:48.185508Z

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 1d034617-d71c-4d29-b10e-d8bd71bb316a · outbound

This paper cites Practical stereo matching via cascaded recurrent network with adaptive correlation,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation Practical stereo matching via cascaded recurrent network with adaptive correlation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.868429Z

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 daeb391d-0230-4992-aa2a-46ddf318b476 · outbound

This paper cites Depth Anything V2.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation Depth Anything V2

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-06-30T15:44:48.200659Z

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 4e0b8d38-cea1-4113-afec-4f94684816c5 · outbound

This paper cites PatchFusion: An end-to-end tile-based framework for high-resolution monocular metric depth estimation,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation PatchFusion: An end-to-end tile-based framework for high-resolution monocular metric depth estimation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.870189Z

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 bb2be814-be20-41b5-aee9-8499e1275545 · outbound

This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-06-30T15:44:48.203727Z

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 11735fc7-39bd-402f-8c4f-141b218cb08f · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-06-30T15:44:48.179479Z

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 9f8198eb-5be8-47b5-a63c-8f7be39311f5 · outbound

This paper cites UniK3D: Universal camera monocular 3d esti- mation,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation UniK3D: Universal camera monocular 3d esti- mation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.885690Z

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 648774f7-1caf-4ea2-b867-8f2fcd7da7cf · outbound

This paper cites Monocular depth estimation using deep learning: A review,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation Monocular depth estimation using deep learning: A review,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.887374Z

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 5f2198e5-c3ef-4b2a-ae15-543f0d7498d2 · outbound

This paper cites Non-Local Spatial Propagation Network for Depth Completion.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation Non-Local Spatial Propagation Network for Depth Completion

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:44:48.198696Z

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 a457f2e3-c2a2-4e98-815e-d27cfc16c06c · outbound

This paper cites CompletionFormer: Depth completion with convolutions and vision transformers,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation CompletionFormer: Depth completion with convolutions and vision transformers,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.889149Z

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 c0ccc38b-bcd2-4029-b4d1-4c7468c57b0e · outbound

This paper cites CostDCNet: Cost volume based depth completion for a single RGB-D image,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation CostDCNet: Cost volume based depth completion for a single RGB-D image,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.883918Z

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 becf6bad-639c-4d04-8ac1-0c613d436646 · outbound

This paper cites FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T15:44:48.196036Z

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 24225a1d-9d9b-49c6-9738-0156288a20e7 · outbound

This paper cites Bilateral grid learning for stereo matching networks,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation Bilateral grid learning for stereo matching networks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.871898Z

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 0858ecd8-1c8f-48c5-9219-59850645902a · outbound

This paper cites Iterative geometry encod- ing volume for stereo matching,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation Iterative geometry encod- ing volume for stereo matching,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.873617Z

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 3d6ab2b9-6f9e-43a9-9937-06b6af813a83 · outbound

This paper cites Unifying Flow, Stereo and Depth Estimation.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation Unifying Flow, Stereo and Depth Estimation

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:44:48.198323Z

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 d39a6860-e605-413c-b559-e54667b88b6e · outbound

This paper cites OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:44:48.201190Z

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 e0f92e05-7d0f-4903-ae45-bde8c2a4227b · outbound

This paper cites A survey on deep stereo matching in the twenties,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation A survey on deep stereo matching in the twenties,

Reference 32

Resolution: verified exact; doi, observed 2026-06-30T15:44:48.001126Z

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 5fcdf6e2-f1eb-41af-b207-3754400165c8 · outbound

This paper cites AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:44:48.192399Z

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 85ff40f2-760f-46ad-9afb-4b688bc9fc12 · outbound

This paper cites Super-convergence: very fast training of neural networks using large learning rates,.

WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation Super-convergence: very fast training of neural networks using large learning rates,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T16:55:08.882206Z

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

Observation a164b1e4-dae6-4493-a1da-a23c627ac8f7 · inbound

X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras cites this paper.

X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras WideDepth: Millimeter-Accurate Benchmark for Fisheye Depth Estimation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:21.716948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.