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Paper Citation Record · LEDGER

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments

As of 4 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2605.07412.

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

pith.paper-citation-record.v1
2605.07412 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T23:23:18.859264Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

47 of 47 outbound references displayed

  • verified exact2
  • verified fuzzy43
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9d01946-9bd3-4858-8e52-f706448cca1d · outbound

This paper cites A new approach to linear filtering and prediction problems.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments A new approach to linear filtering and prediction problems

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.957179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation cc176bec-e9d3-4224-a892-96cb488a4cd1 · outbound

This paper cites Gltc: A metro passenger identification method across afc data and sparse wifi data.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Gltc: A metro passenger identification method across afc data and sparse wifi data

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.959042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c173be5a-7e4d-4e0f-8b7d-8d2d7ec0b4e9 · outbound

This paper cites Accurate indoor localization for bluetooth low energy backscatter.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Accurate indoor localization for bluetooth low energy backscatter

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.960965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 3fd153e7-6940-4ba3-a1e2-456e6a091831 · outbound

This paper cites Tightly coupled integration of gnss/uwb/vio for reliable and seamless positioning.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Tightly coupled integration of gnss/uwb/vio for reliable and seamless positioning

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.971221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:eaace7028b04ccaeafdf1fa672be6ebc0f5097f5d87ec49363b90768a42a6c30

Observation ca405428-fae9-473e-bf59-c635be8c030b · outbound

This paper cites Ionet: Learning to cure the curse of drift in inertial odometry.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Ionet: Learning to cure the curse of drift in inertial odometry

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.954866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:d364ab220ba19566db15b9650d4fd9bf5cec95d0e60c55e2b5b52f9cd07a54d2

Observation 57fad015-56d8-43f1-90ff-975d53e55d7d · outbound

This paper cites Ronin: Robust neural inertial navigation in the wild: Benchmark, evaluations, & new methods.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Ronin: Robust neural inertial navigation in the wild: Benchmark, evaluations, & new methods

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.942472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:61257ef718e582f1bccd1d0e4a0a7a49d7053641f3c3f6fc5aff3ce46fd4049b

Observation 75ef9d36-7fde-4190-acd2-6f91a1daeb18 · outbound

This paper cites Llio: Lightweight learned inertial odometer.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Llio: Lightweight learned inertial odometer

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.892778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:71f829b885e470c6bd61d03f2eae8b69d54cc020fc08aa564d0292628428155e

Observation 7fda9ff4-8277-4d78-85f5-3be8674e44bd · outbound

This paper cites Pedestrian inertial positioning method based on foot quasi-zero velocity observation under multiple motion modes.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Pedestrian inertial positioning method based on foot quasi-zero velocity observation under multiple motion modes

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.911830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:d7147492d57ffccbe92e94bbfcab531a77ddfab570e882ded7dbd1f63a024e2a

Observation 7b1e411b-300e-49be-aa4f-668274eb1a82 · outbound

This paper cites Integrated inertial- lidar-based map matching localization for varying environments.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Integrated inertial- lidar-based map matching localization for varying environments

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.913614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:ec41b94f2ae02375f77ef98e58f71cace48720896bd7451cdd59ec80e4a978c4

Observation cdac6d22-29d5-4003-9f90-0b5bbe267482 · outbound

This paper cites Changes in muscle coordination and power output during sprint cycling.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Changes in muscle coordination and power output during sprint cycling

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.915620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:a489b04734b369a42b57ce3a11ec5dce42beb8ff0e71490d7993abcaefc5ced1

Observation 11648475-b307-4a57-bd76-8879343614ac · outbound

This paper cites Deep learning for inertial positioning: A survey.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Deep learning for inertial positioning: A survey

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.919056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:34883938ebb3f816a6305e886a7b39ce625b638dcfffbe121ef2a11560aa8e15

Observation b060467b-e617-4279-a8a2-7be2ef856772 · outbound

This paper cites Improving inertial sensor by reducing errors using deep learning methodology.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Improving inertial sensor by reducing errors using deep learning methodology

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.924450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:a9109d32faf355c1cc37fa72c3dc83b907566166b5c2b16367a4422cb70442f9

Observation c9dfd5b6-9f7c-42d1-9b6c-a316dba726f6 · outbound

This paper cites Calib-net: Calibrating the low-cost imu via deep convolutional neural network.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Calib-net: Calibrating the low-cost imu via deep convolutional neural network

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.897977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:abd901170b08123b175d136f5a7cc378a9bdf5fdd4137aa93932d588e2d5b87c

Observation 4a091dc1-0b82-46a8-87d7-64d4ab94c241 · outbound

This paper cites Learning to calibrate: Reinforcement learning for guided calibration of visual–inertial rigs.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Learning to calibrate: Reinforcement learning for guided calibration of visual–inertial rigs

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.900283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:9f8d2bc262cc8830b5525f9da3d534be2ddfdac1617f0907c3a075badd604916

Observation 616c3bfc-4f50-4e7a-9a11-eefc9b1402e9 · outbound

This paper cites Denoising imu gyroscopes with deep learning for open-loop attitude estimation.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Denoising imu gyroscopes with deep learning for open-loop attitude estimation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.904786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:8143dcaace44168ec872f07e6104b916987147769109bfdcd22ac4c6e74dca8c

Observation 979db139-5b2a-44c9-8c2b-374a5782cefe · outbound

This paper cites A mems imu gyroscope calibration method based on deep learning.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments A mems imu gyroscope calibration method based on deep learning

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.906734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:b2d7233ae935d72e083737df6e8f2871c278ff401310f0e358e9da236fc6ed64

Observation 1420b285-c6d4-4521-bd27-37fdac61d859 · outbound

This paper cites AirIMU: Learning Uncertainty Propagation for Inertial Odometry.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments AirIMU: Learning Uncertainty Propagation for Inertial Odometry

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-06-30T23:25:07.469070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:6aa3862f8ffd95ae070ffa31ee283c23afe7ebef41b400d41ea73df980efead6

Observation 0446b517-c95c-41ef-815b-7e303b2747c1 · outbound

This paper cites Ridi: Robust imu double integra- tion.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Ridi: Robust imu double integra- tion

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.896160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:d8259bfab8e5ca83aae58f58779c227858c4327333d20d872031b562c2104725

Observation 441c54c0-d47b-435b-80e4-ada33588ec49 · outbound

This paper cites Deep learning based speed esti- mation for constraining strapdown inertial navigation on smartphones.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Deep learning based speed esti- mation for constraining strapdown inertial navigation on smartphones

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.902464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:d78ecd598f294ba177273c4d9ae8d92985c717a3e6cbe0020706c821655a3fd1

Observation 2bad7fcb-87ea-4021-a02f-e4991b10177e · outbound

This paper cites Deepvip: Deep learning-based vehicle indoor positioning using smartphones.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Deepvip: Deep learning-based vehicle indoor positioning using smartphones

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.928847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:e3374aed63d2f98d52c5e7222a994f18cbdaf384c55d43bc0669a53776e6c0c4

Observation 9c463837-211c-438b-a12d-267db9578a00 · outbound

This paper cites Neural inertial localization.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Neural inertial localization

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.935283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:8faa060c3863839c5180398fd528f4ef389f7dee7fccde5ab6f5e4b985e13237

Observation b94d1076-9c67-4c45-b71b-c0e82c73ba19 · outbound

This paper cites Idol: Inertial deep orientation- estimation and localization.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Idol: Inertial deep orientation- estimation and localization

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.962873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:4db565c5d27daa1c2dd563e14cc225946c7a5181b75d7dcc2e277b6a4b2d5f21

Observation f29c2cd7-aa28-4e40-815b-acf0dc448c92 · outbound

This paper cites Ctin: Robust contextual transformer network for inertial navigation.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Ctin: Robust contextual transformer network for inertial navigation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.965892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:79b510c98fd7babc0576ecfd8c1d1da76d3fd6f16e41fa5889e9324bfc4dadab

Observation 91c95e51-448d-46fe-83e0-1af3292350c2 · outbound

This paper cites EqNIO: Subequivariant neural inertial odometry.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments EqNIO: Subequivariant neural inertial odometry

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.944198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:7532cc3e154da6bc8133d7aa8b4d6ef2b78ecf9ea50d70ecacb0497184621e14

Observation 8e9a8ddf-12d4-4bef-8578-09a43335d1d1 · outbound

This paper cites Tartan imu: A light foundation model for inertial positioning in robotics.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Tartan imu: A light foundation model for inertial positioning in robotics

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.945982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:9ac77116added17a3f223ecdba895bc296c68c0767d7fe2dfed7b586e1e5a67a

Observation b3ce4065-b074-4485-8dab-f62c1f6b0ae9 · outbound

This paper cites Tlio: Tight learned inertial odometry.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Tlio: Tight learned inertial odometry

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.947887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:e8458bb4aceee14a48b1efd04f21b16c5f63f075ebfb72fb88ffe7b6d5f67332

Observation 64b5d064-b487-4967-89aa-688610b224f6 · outbound

This paper cites Imunet: Efficient regression architecture for inertial imu navigation and positioning.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Imunet: Efficient regression architecture for inertial imu navigation and positioning

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.949736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:849143a3720b326b93b0d30154aadc962d2b4fb4e2653502fa2032b6d9274ac0

Observation 013a3206-ac24-4327-9c9f-ab07e79ff29d · outbound

This paper cites Airio: Learning inertial odometry with enhanced imu feature observability.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Airio: Learning inertial odometry with enhanced imu feature observability

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.953175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:84777d5d07df0dc7f030536f66f18c22b94c48c7a41b0e1d9ca5b7f86aa6500e

Observation dff9d9d7-dee8-49db-ae94-afd03146a1be · outbound

This paper cites Learned inertial odometry for autonomous drone racing.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Learned inertial odometry for autonomous drone racing

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.940737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:f2748eb21657d425f69439a0292720555d1ade0588180309a5f889b94716a75c

Observation 45f957bf-fd19-4d87-b783-130fe8003564 · outbound

This paper cites Indoor drone localization and tracking based on acoustic inertial measurement.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Indoor drone localization and tracking based on acoustic inertial measurement

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.951440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:40ad0ed0a50287e932d0a3b463058e22851730913e8e6dc76b6383d8a8497870

Observation c54c1612-2927-403c-8257-bf766e418b17 · outbound

This paper cites Heteroge- neous multi-task learning for multiple pseudo-measurement estimation to bridge gps outages.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Heteroge- neous multi-task learning for multiple pseudo-measurement estimation to bridge gps outages

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.967750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:0bdbedb4e59ad3d3bc90e9afe932453fb806c1e8b93c0ee520eeb7ab27c50680

Observation fa996395-6e22-4f74-91db-94b48534a92c · outbound

This paper cites Metroloc: Metro vehicle mapping and localization with lidar-camera-inertial integration.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Metroloc: Metro vehicle mapping and localization with lidar-camera-inertial integration

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.937064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:e39ecf7eb8ba203f8ef67be70f20fdc43d940c6480548b4212be2bfcb019488d

Observation 26b26194-7d86-4b46-910a-4e9355ce436c · outbound

This paper cites Rvio: An effective localiza- tion algorithm for range-aided visual-inertial odometry system.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Rvio: An effective localiza- tion algorithm for range-aided visual-inertial odometry system

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.933325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:192fa2af627ab271ad92a233b41167c4ad1590afdcbab5b3e10889f67c95d6bc

Observation 7ff1913e-74d1-4351-a98a-e3f88fd894dc · outbound

This paper cites Visual- inertial-acoustic sensor fusion for accurate autonomous localization of underwater vehicles.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Visual- inertial-acoustic sensor fusion for accurate autonomous localization of underwater vehicles

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.917371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:fe23c244add15e34d53958fecd84c1246f301adc869cbf55de6b3e2a3aa51b00

Observation 9628bb5c-ee68-4a5d-b01b-2f5b6723a3ea · outbound

This paper cites Toward persistent spatial awareness: A review of pedestrian dead reckoning-centric indoor positioning with smartphones.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Toward persistent spatial awareness: A review of pedestrian dead reckoning-centric indoor positioning with smartphones

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.920870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:7aeee69d77b1671698f22292c69f627eb98ba9c0d068f0235e6e000b9ffea478

Observation 1db6471b-60db-4603-a9eb-8d8b4eed9dfa · outbound

This paper cites Step length is a more reliable measurement than walking speed for pedestrian dead-reckoning*.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Step length is a more reliable measurement than walking speed for pedestrian dead-reckoning*

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.926307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:44439416328ab03190e8a0d5e683cec7c002e5b790959b32f421f99bc64c0342

Observation 522a0b54-cf75-486c-8632-a5cdb9b269fe · outbound

This paper cites Threshold-free phase segmentation and zero velocity detection for gait analysis using foot-mounted inertial sensors.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Threshold-free phase segmentation and zero velocity detection for gait analysis using foot-mounted inertial sensors

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.909966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:f4331a12fe3aa15e81e690b14f3dc06e3941b2e454ecf4f009b2842220c49b4b

Observation e4dcb5a4-19bf-4bff-9bc6-457a167d375a · outbound

This paper cites An adaptive robust ekf based on mahalanobis distance and non-holonomic constraints for enhancing vehicle position- ing accuracy.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments An adaptive robust ekf based on mahalanobis distance and non-holonomic constraints for enhancing vehicle position- ing accuracy

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.922644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:8212a0213eb30bcb5beea4c1a63eac9ed55d35aefbf1e3cd6f99be40481de263

Observation 69490dde-8d54-40b4-a9b7-0021a8d2d721 · outbound

This paper cites Deep neural network based inertial odometry using low-cost inertial measurement units.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Deep neural network based inertial odometry using low-cost inertial measurement units

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.939041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:4337e8d559b2d040f4cdd51dae24590098c42adc2b063f42772862c5af3f78e9

Observation afe00122-bde8-4d87-bcb0-6e47d935df54 · outbound

This paper cites Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , series =.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , series =

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-06-30T23:25:06.603623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:5060f15210a0e02cd1e1f855ef9f5da8a7eb9b402166f1a13a0edcf33c2a4b2c

Observation ad3ac0f8-a045-4c63-a842-e767104aab0b · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision?.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments What uncertainties do we need in bayesian deep learning for computer vision?

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.969512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:4df860eab832cf070ee7602adc0f419688971e7138474296c8904ea5fabbd1e6

Observation 522b9646-373d-4923-a99a-7172c2ee33fe · outbound

This paper cites On the theory of filter amplifiers.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments On the theory of filter amplifiers

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.891007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:192ef48c76db2783e7a18e6b8b6e237d2510ffada63bf7eeb96e2f04700c1dc2

Observation a3faefdc-c46c-4992-8b3c-86fa43b027bf · outbound

This paper cites Automatic step detection in the accelerometer signal.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Automatic step detection in the accelerometer signal

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.889288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:1fad9f18ce3cf4ca4b9b398d5966a54788ae51c19c92789fc40345733d1d1365

Observation d8e09a51-33dd-4897-b68b-1adfd5e98a77 · outbound

This paper cites an unresolved cited work.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-07-07T11:13:41.894429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:e2bde7cee448be1c420dbf42178d1100a0b18d1ad5816a694d06e9722e69f0e6

Observation b4a26c70-400c-4051-b4f8-2b551a8b0b0e · outbound

This paper cites Gupta, and Dezhi Hong.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Gupta, and Dezhi Hong

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T23:25:06.606580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:27b02275c9c29942d0b37bfdedfed559c09358eb73b9a4781749886df7ab82bd

Observation 334b62b5-e8bc-4046-ade8-dcbbbac08001 · outbound

This paper cites Smartphone-based pedestrian inertial tracking: Dataset, model, and deployment.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments Smartphone-based pedestrian inertial tracking: Dataset, model, and deployment

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.887519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:ae83b320bd97a25e33e9dd316c4d48bf9d2349709bef756b7844fbc1a5fa48ae

Observation 64fa412c-9432-4762-bea7-56d28e46c176 · outbound

This paper cites A benchmark for the evaluation of rgb-d slam systems.

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments A benchmark for the evaluation of rgb-d slam systems

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T11:13:41.885731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T23:23:18.859264Z digest=sha256:a349d034a411209b5023ec14908a8aab66f008dfbff49544c8a91979f2f7ce0e

Pith citing papers

No inbound Pith citation observations are available.