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Paper Citation Record · LEDGER

Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments

As of 13 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2606.19687.

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

pith.paper-citation-record.v1
2606.19687 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T17:56:41.086933Z

measured 16 of 16 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

16 of 16 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b9aa6d7-54d5-402e-b22e-3f3401093535 · outbound

This paper cites Wheel-GINS: A GNSS/INS integrated navigation system with a wheel-mounted IMU,.

Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments Wheel-GINS: A GNSS/INS integrated navigation system with a wheel-mounted IMU,

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T17:56:41.086933Z digest=sha256:c571eece8f0f14fc6bda277b51ac9007378783364cbc4e81b0f674ef3f6521be

Observation ba15fe46-6e92-461f-80a0-29c9e5cb40d1 · outbound

This paper cites Robust statistics vs. machine learning vs. Bayesian in- ference: Insights into handling faulty GNSS measurements in field robotics,.

Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments Robust statistics vs. machine learning vs. Bayesian in- ference: Insights into handling faulty GNSS measurements in field robotics,

Reference 2

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arxiv_id, observed 2026-07-04T03:29:31.376777Z

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.

source=pdf_text observed=2026-06-26T17:56:41.086933Z digest=sha256:65bdb0312594372c319b23f3aadd17a0f33b227275b840f055b40a6ed19154f5

Observation 50d26075-07da-41cb-badf-ac1dd32d95f5 · outbound

This paper cites GNSS/multisensor fusion using continuous-time factor graph opti- mization for robust localization,.

Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments GNSS/multisensor fusion using continuous-time factor graph opti- mization for robust localization,

Reference 3

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source=pdf_text observed=2026-06-26T17:56:41.086933Z digest=sha256:51a6bc9eb0d9c65f30f145c2ca768298f1e6f7ddda51ae8daec70d22edb1638b

Observation e9f26f1f-ea2a-4fa7-85ed-647548e77475 · outbound

This paper cites GNSS/IMU/ODO/LiDAR-SLAM integrated navigation system using IMU/ODO pre-integration,.

Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments GNSS/IMU/ODO/LiDAR-SLAM integrated navigation system using IMU/ODO pre-integration,

Reference 4

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source=pdf_text observed=2026-06-26T17:56:41.086933Z digest=sha256:0d463064bb66714aec6b7714d9494cf4fc55d59e57638dda0808c6721250e139

Observation 6f0eec02-deee-469c-871e-7afabdc887e9 · outbound

This paper cites Robust GNSS shadow matching for smartphones in urban canyons,.

Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments Robust GNSS shadow matching for smartphones in urban canyons,

Reference 5

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source=pdf_text observed=2026-06-26T17:56:41.086933Z digest=sha256:e11082082c1309f77f7fc96c80fd5ee31811dc0b22f96d434f3bf082c8fede9a

Observation ea337c39-a14d-4b7d-9fc3-7896215e0402 · outbound

This paper cites 3D vision aided GNSS real-time kinematic positioning for autonomous systems in urban canyons,.

Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments 3D vision aided GNSS real-time kinematic positioning for autonomous systems in urban canyons,

Reference 6

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source=pdf_text observed=2026-06-26T17:56:41.086933Z digest=sha256:17af2ce96df17256a5f3310aabe41ac54c6da245592b6fd9c555c5f2afebc6f1

Observation 8c93232f-29c5-4f66-8691-3a5bc41469ce · outbound

This paper cites 3- D LiDAR-aided GNSS NLOS mitigation for reliable GNSS-RTK positioning in urban canyons,.

Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments 3- D LiDAR-aided GNSS NLOS mitigation for reliable GNSS-RTK positioning in urban canyons,

Reference 7

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source=pdf_text observed=2026-06-26T17:56:41.086933Z digest=sha256:548fd0ae57d928c418d15ce59b09e784846f972c7a9f931a0c68fb741b58b2da

Observation c35a79fb-050e-41ea-adcb-eae46bf3e6d5 · outbound

This paper cites ULOC: Learning to localize in complex large-scale environments with ultra- wideband ranges,.

Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments ULOC: Learning to localize in complex large-scale environments with ultra- wideband ranges,

Reference 8

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source=pdf_text observed=2026-06-26T17:56:41.086933Z digest=sha256:76d449562c0272e8e6ee6431f1f6aa2f230280aaa6bdeaa3ee7ad00d7c14d07a

Observation d6d2b9c7-fadb-4d26-b5d9-e64a95d33203 · outbound

This paper cites 3D mapping database-aided GNSS RTK and its assessments in urban canyons,.

Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments 3D mapping database-aided GNSS RTK and its assessments in urban canyons,

Reference 9

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source=pdf_text observed=2026-06-26T17:56:41.086933Z digest=sha256:d78bdfa96ae01b835f9d458beb44042b2e1f600957ade0939276bb038b8236b0

Observation eb67e415-4fed-4fac-b37f-c68eff384ce4 · outbound

This paper cites The path inference filter: Model-based low-latency map matching of probe vehicle data,.

Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments The path inference filter: Model-based low-latency map matching of probe vehicle data,

Reference 10

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no resolver link, observed 2026-06-26T17:56:41.086933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T17:56:41.086933Z digest=sha256:6fda4e69e55eb7607a2b18285b0fcf3155c666adeaf6d7498484e783f86fa6bc

Observation 36b0b356-3991-4904-89c0-42fceb20519e · outbound

This paper cites Robust ve- hicular localization and map matching in urban environments through IMU, GNSS, and cellular signals,.

Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments Robust ve- hicular localization and map matching in urban environments through IMU, GNSS, and cellular signals,

Reference 11

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source=pdf_text observed=2026-06-26T17:56:41.086933Z digest=sha256:c9e4a69b1c7c28a4c13f283d634f97b1788acb1c17f944832947e8b76a5c6861

Observation a3947463-76b4-48bf-9bf6-eec47ebb8a79 · outbound

This paper cites Factor graph optimization for GNSS/INS integration: A comparison with the extended Kalman filter,.

Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments Factor graph optimization for GNSS/INS integration: A comparison with the extended Kalman filter,

Reference 12

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source=pdf_text observed=2026-06-26T17:56:41.086933Z digest=sha256:d93150bf353b81887bdff19fec3e2668d8132d7082937ce6a00166a2e3dd7068

Observation 30d7f3c8-8309-4590-8e16-e9026ccf8e95 · outbound

This paper cites GNSS outlier mitigation via grad- uated non-convexity factor graph optimization,.

Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments GNSS outlier mitigation via grad- uated non-convexity factor graph optimization,

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T17:56:41.086933Z digest=sha256:c9225311655c6661b9a3719c7369633a5655c36d95eba6e5b296148224254ece

Observation 7c15a8eb-fdce-4319-a60e-0df533a166e0 · outbound

This paper cites High accuracy tightly-coupled integrity monitoring algorithm for map-matching,.

Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments High accuracy tightly-coupled integrity monitoring algorithm for map-matching,

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T17:56:41.086933Z digest=sha256:5921097bd32a7f5b2d7f2efc8905a4d43d39ea0b528ad0842371a1439f905cec

Observation 3a999fe4-22db-4f3d-993d-853abece39c2 · outbound

This paper cites GNSS-RTK adaptively integrated with LiDAR/IMU odometry for continuously global posi- tioning in urban canyons,.

Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments GNSS-RTK adaptively integrated with LiDAR/IMU odometry for continuously global posi- tioning in urban canyons,

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T17:56:41.086933Z digest=sha256:890e760e1e75e47c2efb75afc032d158e1f6ed49e0f903544489012e04b48838

Observation 90b680e4-6326-4a46-833f-fe099a580f3a · outbound

This paper cites Trajectory smoothing us- ing GNSS/PDR integration via factor graph optimization in urban canyons,.

Route-Constrained Robust Fusion Estimation for MEMS/GNSS Integrated Navigation of Unmanned Ground Vehicles in GNSS Degraded Environments Trajectory smoothing us- ing GNSS/PDR integration via factor graph optimization in urban canyons,

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T17:56:41.086933Z digest=sha256:32931d1de3ad42a34df941100bf31920d9672bb15679e9a1372675e32cd38668

Pith citing papers

No inbound Pith citation observations are available.