Paper Citation Record · LEDGER

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework

As of 13 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2505.19560.

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

pith.paper-citation-record.v1
2505.19560 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:16:52.029335Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

35 of 35 outbound references displayed

verified exact1
verified fuzzy33
unresolved1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1be2bcb1-a0ec-484f-8a43-412577d6c49d · outbound

This paper cites Gnss/multi- sensor fusion using continuous-time factor graph optimization for robust localization,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Gnss/multi- sensor fusion using continuous-time factor graph optimization for robust localization,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:00.247424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 98869a38-a417-4d72-a79b-41e93e673085 · outbound

This paper cites A portfolio approach to nlos and multipath mitigation in dense urban areas.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework A portfolio approach to nlos and multipath mitigation in dense urban areas

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:00.107366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d9050695-a3c9-44ee-b07b-bcb7b6e8c329 · outbound

This paper cites Enhanced land vehicular gnss/ins combined system by using multiple-antenna with common clock,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Enhanced land vehicular gnss/ins combined system by using multiple-antenna with common clock,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:59.881449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9001a742-19fc-4a91-b5ed-8075592d3253 · outbound

This paper cites A novel factor graph framework for tightly coupled gnss/ins integration with carrier-phase ambiguity resolution,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework A novel factor graph framework for tightly coupled gnss/ins integration with carrier-phase ambiguity resolution,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:59.711851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation affe2722-2a52-4f94-b6f1-eb56047642f3 · outbound

This paper cites A spoofing algorithm for ground unmanned platform equipped with gnss/ins integrated navigation system,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework A spoofing algorithm for ground unmanned platform equipped with gnss/ins integrated navigation system,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:59.474104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 60db1cd4-ba66-42e8-a108-bef7812b0e09 · outbound

This paper cites A covert spoofing algorithm for sins/gnss tightly integrated navigation system,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework A covert spoofing algorithm for sins/gnss tightly integrated navigation system,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:59.255091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 18571370-6e35-41cb-b423-194e6114db6e · outbound

This paper cites R2-gvio: A robust, real-time gnss-visual-inertial state estimator in urban challenging environments,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework R2-gvio: A robust, real-time gnss-visual-inertial state estimator in urban challenging environments,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:59.016409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4763328d-4677-4646-b05d-f66356548f38 · outbound

This paper cites Ingvio: A consistent invariant filter for fast and high-accuracy gnss-visual-inertial odometry,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Ingvio: A consistent invariant filter for fast and high-accuracy gnss-visual-inertial odometry,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:58.670019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1468bc05-1eac-4ccf-a3f0-423f2804ae84 · outbound

This paper cites Ic-gvins: A robust, real- time, ins-centric gnss-visual-inertial navigation system,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Ic-gvins: A robust, real- time, ins-centric gnss-visual-inertial navigation system,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:58.383490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 76701d9e-6451-43ee-a9aa-24df717f77c0 · outbound

This paper cites Gvins: Tightly coupled gnss–visual–inertial fusion for smooth and consistent state estimation,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Gvins: Tightly coupled gnss–visual–inertial fusion for smooth and consistent state estimation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:58.167687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cf2811ac-15e9-4f75-89d9-4c8bb2f168a2 · outbound

This paper cites P 3-vins: Tightly- coupled ppp/ins/visual slam based on optimization approach,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework P 3-vins: Tightly- coupled ppp/ins/visual slam based on optimization approach,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:57.811103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 37e18bb1-34f4-481f-93e8-22ebc3db751a · outbound

This paper cites Invariant-ekf-based gnss/ins/vision integration with high convergence and accuracy,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Invariant-ekf-based gnss/ins/vision integration with high convergence and accuracy,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:57.514811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 577dae01-b971-44ae-b6d8-54090b73dbc0 · outbound

This paper cites End-to-end autonomous driving: Challenges and frontiers,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework End-to-end autonomous driving: Challenges and frontiers,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:49.955038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa5d2640-4187-49d3-9c4d-8f049312b697 · outbound

This paper cites Paving the way with machine learning for seamless indoor–outdoor positioning: A survey,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Paving the way with machine learning for seamless indoor–outdoor positioning: A survey,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:57.190705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 87e5a398-f85f-4dd4-998b-f2196e112fe2 · outbound

This paper cites Machine learning in gnss multipath/nlos mitigation: Review and benchmark,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Machine learning in gnss multipath/nlos mitigation: Review and benchmark,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:56.875018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1713b134-3c2a-4236-be80-61b17a0c54f2 · outbound

This paper cites Machine learning utilization in gnss—use cases, challenges and future applications,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Machine learning utilization in gnss—use cases, challenges and future applications,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:56.591458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f8db2f65-f852-4817-8825-9d61dff04394 · outbound

This paper cites Resilient pseudorange error prediction and correction for gnss positioning in urban areas,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Resilient pseudorange error prediction and correction for gnss positioning in urban areas,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:56.225525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 57c4938d-157e-43fc-907a-980b767d17ce · outbound

This paper cites A reliable nlos error identification method based on lightgbm driven by multiple features of gnss signals,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework A reliable nlos error identification method based on lightgbm driven by multiple features of gnss signals,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:55.906668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 777b2fdd-18b2-46f4-95a7-b6c4b6d0e7ff · outbound

This paper cites Prediction on the urban gnss measurement uncertainty based on deep learning networks with long short-term memory,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Prediction on the urban gnss measurement uncertainty based on deep learning networks with long short-term memory,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:55.731251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 68031bf1-b5f6-4c44-952f-d39c0eb9ac43 · outbound

This paper cites Improving the prediction of gnss satellite visibility in urban canyons based on a graph transformer,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Improving the prediction of gnss satellite visibility in urban canyons based on a graph transformer,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:55.510686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1e54428f-957f-4ad5-9565-d4c03bcccf14 · outbound

This paper cites A framework for graphical gnss multipath and nlos mitigation,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework A framework for graphical gnss multipath and nlos mitigation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:55.286125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6882ee82-cac8-4503-af31-16db8fed5d65 · outbound

This paper cites Continuous-time factor graph optimization for trajectory smoothness of gnss/ins navigation in temporarily gnss-denied environments,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Continuous-time factor graph optimization for trajectory smoothness of gnss/ins navigation in temporarily gnss-denied environments,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:55.113538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 20a04fa8-7ff6-4586-89e8-d4815ce99267 · outbound

This paper cites pyrtklib: An open-source package for tightly coupled deep learning and GNSS integration for positioning in urban canyons.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework pyrtklib: An open-source package for tightly coupled deep learning and GNSS integration for positioning in urban canyons

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:16:52.289881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 23282bb9-7b56-42d9-ab03-22c42070ea44 · outbound

This paper cites Learning gnss positioning corrections for smartphones using graph convolution neural networks,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Learning gnss positioning corrections for smartphones using graph convolution neural networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:54.741511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 65f561a2-86a2-4b0c-9bce-a079561c5edf · outbound

This paper cites Tightly coupled graph neural network and kalman filter for smartphone positioning,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Tightly coupled graph neural network and kalman filter for smartphone positioning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:54.522892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6b354dd2-9286-4b67-b7e8-b26c7528840e · outbound

This paper cites Learning-enhanced adaptive robust gnss navigation in challenging environments,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Learning-enhanced adaptive robust gnss navigation in challenging environments,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:54.209256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8d91ad87-74d4-4b9a-8cf4-bf2082d4f6eb · outbound

This paper cites Kalmannet: Neural network aided kalman filtering for partially known dynamics,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Kalmannet: Neural network aided kalman filtering for partially known dynamics,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:53.950527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7dd5d584-8032-48f2-b403-03d8d1969bd1 · outbound

This paper cites Mgins: A lane-level local- ization system for challenging urban environments using magnetic field matching/gnss/ins fusion,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Mgins: A lane-level local- ization system for challenging urban environments using magnetic field matching/gnss/ins fusion,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:53.793506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 490f2eeb-5146-472a-8a53-bda43162708f · outbound

This paper cites Gps meteorology: Mapping zenith wet delays onto precipitable water,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Gps meteorology: Mapping zenith wet delays onto precipitable water,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:53.616199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c58a6fb3-e0ca-4344-b4cd-46bc7704acfe · outbound

This paper cites Ionospheric time-delay algorithm for single-frequency gps users,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Ionospheric time-delay algorithm for single-frequency gps users,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:53.441599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 97f63198-5699-4475-8a05-50330c0f47b4 · outbound

This paper cites Ins aided gnss pseudo-range error prediction using machine learning for urban vehicle navigation,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Ins aided gnss pseudo-range error prediction using machine learning for urban vehicle navigation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:53.259931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7428f1c8-2f07-4ef1-9d93-085cd55a5362 · outbound

This paper cites Learning-based nlos detection and uncertainty prediction of gnss observations with transformer-enhanced lstm network,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Learning-based nlos detection and uncertainty prediction of gnss observations with transformer-enhanced lstm network,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:53.107715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a49459b0-9c49-4127-842b-1b5cbc6e6d52 · outbound

This paper cites Fisheye camera aided gnss nlos detection and learning-based pseudorange bias correction for intelligent vehicles in urban canyons,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework Fisheye camera aided gnss nlos detection and learning-based pseudorange bias correction for intelligent vehicles in urban canyons,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:52.956125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d6eed216-293d-44e8-9bb6-00115539f57e · outbound

This paper cites GREAT Dataset: A vehicle-mounted multi- sensor raw observation dataset in complex urban environment,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework GREAT Dataset: A vehicle-mounted multi- sensor raw observation dataset in complex urban environment,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:52.787644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation db9bffd8-b963-4f2b-9cc2-9b52837c082d · outbound

This paper cites A large-scale diverse gnss/sins dataset: construction, publication, and application,.

LF-GNSS: Towards More Robust Satellite Positioning with a Hard Example Mining Enhanced Learning-Filtering Deep Fusion Framework A large-scale diverse gnss/sins dataset: construction, publication, and application,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:16:52.594396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.