Paper Citation Record · LEDGER

Generalizing Geometry-Guided Mamba as a Plug-and-Play Context Module for CNN-based Semantic Segmentation

As of 18 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2606.08866.

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

pith.paper-citation-record.v1
2606.08866 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T18:22:48.581921Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

13 of 13 outbound references displayed

verified exact4
verified fuzzy0
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 68bdacd6-977c-4efe-a615-ff8e302a359d · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

Generalizing Geometry-Guided Mamba as a Plug-and-Play Context Module for CNN-based Semantic Segmentation Fully convolutional networks for semantic segmentation,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T18:22:48.581921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a6eaaef-4bf9-42e6-b1bd-cb5fe9a64965 · outbound

This paper cites Encoder- decoder with atrous separable convolution for semantic image segmen- tation,.

Generalizing Geometry-Guided Mamba as a Plug-and-Play Context Module for CNN-based Semantic Segmentation Encoder- decoder with atrous separable convolution for semantic image segmen- tation,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T18:22:48.581921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a72dce3-09b7-48bd-920d-7e273df316e4 · outbound

This paper cites Pyramid scene parsing network,.

Generalizing Geometry-Guided Mamba as a Plug-and-Play Context Module for CNN-based Semantic Segmentation Pyramid scene parsing network,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T18:22:48.581921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b57796b3-679d-45ac-ad7e-9ee67c412f2d · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Generalizing Geometry-Guided Mamba as a Plug-and-Play Context Module for CNN-based Semantic Segmentation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:17:29.338006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 731029c4-dce5-4132-9c95-431e69e598a9 · outbound

This paper cites VMamba: Visual State Space Model.

Generalizing Geometry-Guided Mamba as a Plug-and-Play Context Module for CNN-based Semantic Segmentation VMamba: Visual State Space Model

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:17:29.340587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6d671d11-aa88-4391-addf-99377baf2022 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Generalizing Geometry-Guided Mamba as a Plug-and-Play Context Module for CNN-based Semantic Segmentation Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:17:29.333080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 46389930-abab-4d93-bf53-e838b4205d0b · outbound

This paper cites Breaking the Resource Wall: Geometry-Guided Sequence Modeling for Efficient Semantic Segmentation.

Generalizing Geometry-Guided Mamba as a Plug-and-Play Context Module for CNN-based Semantic Segmentation Breaking the Resource Wall: Geometry-Guided Sequence Modeling for Efficient Semantic Segmentation

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-07-02T23:17:29.335702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1b70d22a-17d3-4699-a755-7958024b1a6d · outbound

This paper cites Dual attention network for scene segmentation,.

Generalizing Geometry-Guided Mamba as a Plug-and-Play Context Module for CNN-based Semantic Segmentation Dual attention network for scene segmentation,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T18:22:48.581921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4390992-396f-43ea-b0d1-5a3546bcbb39 · outbound

This paper cites CCNet: Criss-cross attention for semantic segmenta- tion,.

Generalizing Geometry-Guided Mamba as a Plug-and-Play Context Module for CNN-based Semantic Segmentation CCNet: Criss-cross attention for semantic segmenta- tion,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T18:22:48.581921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 594a48ce-c40c-4b8f-a063-ce11ef2408c3 · outbound

This paper cites PSANet: Point-wise spatial attention network for scene parsing,.

Generalizing Geometry-Guided Mamba as a Plug-and-Play Context Module for CNN-based Semantic Segmentation PSANet: Point-wise spatial attention network for scene parsing,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T18:22:48.581921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b613413b-41cb-4842-8cb7-324c62e6d823 · outbound

This paper cites Object-contextual representations for semantic segmentation,.

Generalizing Geometry-Guided Mamba as a Plug-and-Play Context Module for CNN-based Semantic Segmentation Object-contextual representations for semantic segmentation,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T18:22:48.581921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 705aca2d-0273-414a-b704-f964c421bcc9 · outbound

This paper cites The Cityscapes dataset for semantic urban scene un- derstanding,.

Generalizing Geometry-Guided Mamba as a Plug-and-Play Context Module for CNN-based Semantic Segmentation The Cityscapes dataset for semantic urban scene un- derstanding,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T18:22:48.581921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7271afff-a408-46bc-bfff-0cd9c4d117b2 · outbound

This paper cites Deep residual learning for image recognition,.

Generalizing Geometry-Guided Mamba as a Plug-and-Play Context Module for CNN-based Semantic Segmentation Deep residual learning for image recognition,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T18:22:48.581921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.