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Paper Citation Record · LEDGER

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image

As of 10 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2606.28371.

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

pith.paper-citation-record.v1
2606.28371 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T10:28:19.266420Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

33 of 33 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b949a818-86ce-47d2-8ca6-44d574270cee · outbound

This paper cites Energy -based models for cross -modal localization using convolutional transformers,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Energy -based models for cross -modal localization using convolutional transformers,

Reference 1

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Source-reported events for the cited work

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Observation 4202170e-33d8-4faf-9c74-f52b32ac629f · outbound

This paper cites Road structure inspired ugv -satellite cross -view geo -localization,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Road structure inspired ugv -satellite cross -view geo -localization,

Reference 2

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Source-reported events for the cited work

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Observation e241b9b0-0b28-46c4-9b8b-decf61b98e96 · outbound

This paper cites Active layered topology mapping driven by road intersection,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Active layered topology mapping driven by road intersection,

Reference 3

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Observation c7f4c68a-2d3a-4378-8a53-2d1fb1ba6363 · outbound

This paper cites Cvm -net: Cross-view matching network for image-based ground-to-aerial geo-localization,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Cvm -net: Cross-view matching network for image-based ground-to-aerial geo-localization,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 29246d44-1e14-4fed-be51-67d966a06c93 · outbound

This paper cites Multi -modality semantic-shared cross -view ground -to-aerial localization,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Multi -modality semantic-shared cross -view ground -to-aerial localization,

Reference 5

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Source-reported events for the cited work

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Observation 0674be88-5387-4090-b743-7e2737de74ca · outbound

This paper cites Agl -net: Aerial -ground cross -modal global localization with varying scales,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Agl -net: Aerial -ground cross -modal global localization with varying scales,

Reference 6

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Source-reported events for the cited work

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Observation 1d42474c-3bf4-4431-8fb0-b658f5877d40 · outbound

This paper cites Any way you look at it: Semantic cross view localization and mapping with lidar,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Any way you look at it: Semantic cross view localization and mapping with lidar,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ecead024-56e2-4e49-98f6-b2ea16dcaad3 · outbound

This paper cites Point -based metric and topological locali zation between lidar and overhead imagery,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Point -based metric and topological locali zation between lidar and overhead imagery,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation cb8529de-2b39-40e4-9eaa-ee9339d9b2df · outbound

This paper cites Saliencyi2ploc: Saliency-guided image –point cloud localization using contrastive learning,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Saliencyi2ploc: Saliency-guided image –point cloud localization using contrastive learning,

Reference 9

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Source-reported events for the cited work

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Observation b1d07f3c-fde3-4f38-bb3e-e66cfc618e1b · outbound

This paper cites Mixing left and right-hand driving data in a hierarchical framework with llm generation,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Mixing left and right-hand driving data in a hierarchical framework with llm generation,

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ad0a2150-ed3a-4e99-9774-9fa6a1742af8 · outbound

This paper cites Enhancing scene understanding for vision -and-language navigation by knowledge awareness,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Enhancing scene understanding for vision -and-language navigation by knowledge awareness,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4354bc0a-8fd5-425b-93ee-8a32a8a3e6b6 · outbound

This paper cites Real -time road intersection detection in sparse point cloud based on augmented viewpoints beam model,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Real -time road intersection detection in sparse point cloud based on augmented viewpoints beam model,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a677ca55-62e8-45bc-bed7-90b176b2cd0b · outbound

This paper cites Semantics -driven image-based 3d scene retrieval. available at ssrn: http://dx.doi.org/10.2139/ssrn.5226209,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Semantics -driven image-based 3d scene retrieval. available at ssrn: http://dx.doi.org/10.2139/ssrn.5226209,

Reference 13

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e11de86d-59f8-432b-acbc-8ae1eac8efe3 · outbound

This paper cites Wide -area geo-localization with a limited field of view camera,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Wide -area geo-localization with a limited field of view camera,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 916a860b-4fb9-4b89-b207-9599a403e133 · outbound

This paper cites City -wide street-to-satellite image geo-localization of a mobile ground agent,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image City -wide street-to-satellite image geo-localization of a mobile ground agent,

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation abe10f9e-cd3c-44bb-b9dc-70854df45b7d · outbound

This paper cites Congeo: Robust cross -view geo -localization across ground view variations,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Congeo: Robust cross -view geo -localization across ground view variations,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d065aab5-9439-4ef7-976b-c113757b7f32 · outbound

This paper cites Semgeo: Semantic keywords for crossview image geo -localization,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Semgeo: Semantic keywords for crossview image geo -localization,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 87e97264-874d-44da-8f07-d02b8a5f678b · outbound

This paper cites Deep learning for visual understanding: A review,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Deep learning for visual understanding: A review,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a53b3c13-f137-4275-91d8-7f01ebaa4d3e · outbound

This paper cites Semantic tree -based 3d scene model recognition,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Semantic tree -based 3d scene model recognition,

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4661903e-ad4c-41fe-9e16-e54c4020882a · outbound

This paper cites Panoptic-polarnet: Proposal-free lidar point cloud panoptic segmentation,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Panoptic-polarnet: Proposal-free lidar point cloud panoptic segmentation,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3a971361-ac6a-447d-ae1d-a48fed82428e · outbound

This paper cites Topological saliency,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Topological saliency,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 67693a69-8b41-4d0d-9d94-155593f9313f · outbound

This paper cites Image interpolation via gradient correlation-based edge direction estimation,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Image interpolation via gradient correlation-based edge direction estimation,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2cac0640-f853-4695-9aa8-c0db9e9c0a68 · outbound

This paper cites Vision meets robotics: The kitti dataset,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Vision meets robotics: The kitti dataset,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation af42ccc0-1379-4a39-b857-89a9c3d0aafb · outbound

This paper cites Aligning geometric spatial layout in cross-view geo-localization via feature recombination,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Aligning geometric spatial layout in cross-view geo-localization via feature recombination,

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e96a611e-79af-4f0d-b931-2b539c60b8e4 · outbound

This paper cites Spatial-aware feature aggregation for image based cross -view geo -localization,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Spatial-aware feature aggregation for image based cross -view geo -localization,

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1f86cde5-fe16-4d93-a96c-dfd6c848888a · outbound

This paper cites Wide -area image geo-localization with aerial reference imagery,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Wide -area image geo-localization with aerial reference imagery,

Reference 26

Resolution
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raw_fallback, observed 2026-07-09T13:56:19.730501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c349f338-0ea0-4260-9553-0f99fa25d8be · outbound

This paper cites Transgeo: Transformer is all you need for cross -view image geo -localization,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Transgeo: Transformer is all you need for cross -view image geo -localization,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T13:56:19.743309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5451e265-1184-4c1e-ad68-5e03e54b776f · outbound

This paper cites Simple, Effective and General: A New Backbone for Cross-view Image Geo-localization.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Simple, Effective and General: A New Backbone for Cross-view Image Geo-localization

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c44ce2b5-368f-41f0-a573-9dfe99cea967 · outbound

This paper cites Cross -view geo-localization via learning disentangled geometric layout correspondence,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Cross -view geo-localization via learning disentangled geometric layout correspondence,

Reference 29

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raw_fallback, observed 2026-07-09T13:56:19.753848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ec013eba-116d-4a93-a23a-13b030fbf830 · outbound

This paper cites Geodtr+: Toward generic cross -view geo -localization via geometric disentanglement,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Geodtr+: Toward generic cross -view geo -localization via geometric disentanglement,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T13:56:19.759445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T10:28:19.266420Z digest=sha256:f2d50b6ab09a945a1c2902ef33a0769f12fd9131369baa001ea2ff9d76a423b2

Observation 2474751c-ef41-4ecc-bac1-424dddd2d9f7 · outbound

This paper cites Road-segmentation-based curb detection method for self-driving via a 3d-lidar sensor,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Road-segmentation-based curb detection method for self-driving via a 3d-lidar sensor,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T13:56:19.761307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T10:28:19.266420Z digest=sha256:26644bdb5335e0c8e3596eec1b1ff485d4e5a5d8ac0446acef49ac6cfa16e2b3

Observation e0f25d89-ee84-44b2-8fc2-6488a5b40f24 · outbound

This paper cites A 3d lidar databased dedicated road boundary detection algorithm for autonomous vehicles,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image A 3d lidar databased dedicated road boundary detection algorithm for autonomous vehicles,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T13:56:19.757639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T10:28:19.266420Z digest=sha256:dee4d7ed4757d140a3e3df538ef76fef098ee86377240505783de9429956c286

Observation 7d0baae0-630a-47c0-9aae-b45fd7a199f9 · outbound

This paper cites Speed and accuracy tradeoff for lidar data based road boundary detection,.

GeoISF: Instance Semantic Forest Inspired Large-Scale Cross-View Geo-Localization via Ground LiDAR-to-Satellite Image Speed and accuracy tradeoff for lidar data based road boundary detection,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T13:56:19.763163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T10:28:19.266420Z digest=sha256:5e3c39fc7dd775caeb4b3c9c6fb51d6d3700ee2a62b3a5c9ff746869b95abad8

Pith citing papers

No inbound Pith citation observations are available.