Paper Citation Record · LEDGER

SegViT: Semantic Segmentation with Plain Vision Transformers

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2210.05844.

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

pith.paper-citation-record.v1
2210.05844 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 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:13:14.037130Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:27:13.320638Z

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 cf78f1dc-2041-4397-a1bc-6c11ec7ea140 · inbound

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis cites this paper.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis SegViT: Semantic Segmentation with Plain Vision Transformers

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:14.037130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 985d6b87-cab2-41ab-ad9d-11b980a49e41 · inbound

AI Meets Maritime Training: Precision Analytics for Enhanced Safety and Performance cites this paper.

AI Meets Maritime Training: Precision Analytics for Enhanced Safety and Performance SegViT: Semantic Segmentation with Plain Vision Transformers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:59:47.577128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47a7cf75-ee5e-4032-bffa-08739de83731 · inbound

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model cites this paper.

FastSmoothSAM: A Fast Smooth Method For Segment Anything Model SegViT: Semantic Segmentation with Plain Vision Transformers

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:47:41.920866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfaa2b21-284a-417e-b48b-260b08b427c9 · inbound

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots cites this paper.

Glass Surface Segmentation with an RGB-D Camera via Weighted Feature Fusion for Service Robots SegViT: Semantic Segmentation with Plain Vision Transformers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T05:34:47.258884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc8391b2-ea6d-4c0d-a773-90763bf627c0 · inbound

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation cites this paper.

Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation SegViT: Semantic Segmentation with Plain Vision Transformers

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:27:13.324585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f1ea6648-0331-44f4-b927-67b6b67ac29c · inbound

I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation cites this paper.

I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation SegViT: Semantic Segmentation with Plain Vision Transformers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:09.296886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.