Paper Citation Record · LEDGER

Deep Learning for Omnidirectional Vision: A Survey and New Perspectives

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2205.10468.

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

pith.paper-citation-record.v1
2205.10468 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:27:01.959618Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T20:03:56.650121Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1aa1bbdf-d732-4796-822b-7b3dccaab1b9 · inbound

Omnidirectional Video Super-Resolution using Deep Learning cites this paper.

Omnidirectional Video Super-Resolution using Deep Learning Deep Learning for Omnidirectional Vision: A Survey and New Perspectives

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:01.959618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f80836af-4001-4ee1-8a3b-3ed58eba3c7f · inbound

Seam360GS: Seamless 360{\deg} Gaussian Splatting from Real-World Omnidirectional Images cites this paper.

Seam360GS: Seamless 360{\deg} Gaussian Splatting from Real-World Omnidirectional Images Deep Learning for Omnidirectional Vision: A Survey and New Perspectives

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T15:18:50.447107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cdb79b2-0706-4bb0-b9b3-176ce58ef961 · inbound

SO3UFormer: Learning Intrinsic Spherical Features for Rotation-Robust Panoramic Dense Prediction cites this paper.

SO3UFormer: Learning Intrinsic Spherical Features for Rotation-Robust Panoramic Dense Prediction Deep Learning for Omnidirectional Vision: A Survey and New Perspectives

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T20:38:19.257532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff783db2-f029-4103-8388-7cc5135bb7d6 · inbound

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling cites this paper.

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling Deep Learning for Omnidirectional Vision: A Survey and New Perspectives

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:03:56.651508Z

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.

Observation 110dfa54-9567-4f21-a66e-d4edf8a9d8c6 · inbound

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling cites this paper.

Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling Deep Learning for Omnidirectional Vision: A Survey and New Perspectives

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T09:58:44.964185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82583f88-3420-4255-a4a2-52616f18ce2b · inbound

InSpace: Structure-Aware 3D Indoor Scene Generation from a Single 360{\deg} Image cites this paper.

InSpace: Structure-Aware 3D Indoor Scene Generation from a Single 360{\deg} Image Deep Learning for Omnidirectional Vision: A Survey and New Perspectives

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T22:29:10.666143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.