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Paper Citation Record · LEDGER

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation

As of 16 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:1908.03609.

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

pith.paper-citation-record.v1
1908.03609 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:12:02.127472Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4c301ced-fe93-46d6-bc60-7143d1aefa9c · outbound

This paper cites An introduction to inertial navigation,.

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation An introduction to inertial navigation,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:02.808991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 19bcc861-6eeb-496d-8582-f2c55b6176b1 · outbound

This paper cites Improved pedestrian dead reckoning positioning with gait parameter learning,.

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation Improved pedestrian dead reckoning positioning with gait parameter learning,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:02.764635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:12:01.965827Z digest=sha256:0c47da5ca0beb36618b6f4438724ec62904c54155a1509ce9043b5fe566e762b

Observation 091c7a85-a62e-4874-8123-aede0232358c · outbound

This paper cites OxIOD: The Dataset for Deep Inertial Odometry.

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation OxIOD: The Dataset for Deep Inertial Odometry

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T14:12:01.971779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 35ad78e7-dcc1-44b2-91b6-983062c1b4d3 · outbound

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

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation Ionet: Learning to cure the curse of drift in inertial odometry,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:02.743136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:12:01.981692Z digest=sha256:97957b6b851438fe3ff964daa521e3d6d0c77644560ec44cb31aa485da50975b

Observation 22ca533d-fe9f-4769-adc9-e46850cc4feb · outbound

This paper cites Step Length Estimation Methods Based on Inertial Sensors: A Review,.

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation Step Length Estimation Methods Based on Inertial Sensors: A Review,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:02.713059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:12:01.995918Z digest=sha256:5a52e9a17ae9fe935e8fc9e46799090aecefac850403d1b35f44f65e009521d2

Observation c27b8899-3d2b-4cfe-9f31-0fb5d1d4db06 · outbound

This paper cites IMU Dataset For Motion and Device Mode Classification,.

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation IMU Dataset For Motion and Device Mode Classification,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:02.683338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation dfcc8891-ae2b-4285-b97a-5b1b278c3c82 · outbound

This paper cites HASC-IPSC: Indoor Pedestrian Sensing Corpus with a Balance of Gender and Age for Indoor Positioning and Floor-plan Generation Researches,.

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation HASC-IPSC: Indoor Pedestrian Sensing Corpus with a Balance of Gender and Age for Indoor Positioning and Floor-plan Generation Researches,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:02.656869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:12:02.026357Z digest=sha256:0b575fefb17ab8abfaecbe58136173a9d76d44762a5df317928a230a5b51ab6f

Observation 42739e08-dfae-4b3f-82f2-abac9b32d2aa · outbound

This paper cites Detecting Falls with Wearable Sensors Using Machine Learning Techniques ,.

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation Detecting Falls with Wearable Sensors Using Machine Learning Techniques ,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:02.627489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:12:02.036018Z digest=sha256:91565350410a4e26a8faae39599faf4fd64bc76ed7f454073cb3e2218619b5dc

Observation 16cece10-2b45-4f90-9d96-e7e959f4b23b · outbound

This paper cites WeAllWalk: An Annotated Data Set of Inertial Sensor Time Series from Blind Walkers ,.

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation WeAllWalk: An Annotated Data Set of Inertial Sensor Time Series from Blind Walkers ,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:02.582792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:12:02.049578Z digest=sha256:79b259dfff653ad66a73e8505ea107bf197014b4cc4b97e6d9b453963634fef4

Observation 795cbc4b-859b-4dfd-8e7f-20dfb72d07d8 · outbound

This paper cites Walk detection and step counting on unconstrained smartphones ,.

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation Walk detection and step counting on unconstrained smartphones ,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:02.553419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bd83fb74-7bb3-494e-8a6d-13e87abd9a12 · outbound

This paper cites The largest inertial sensor -based gait database and performance evaluation of gait-based personal authentication,.

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation The largest inertial sensor -based gait database and performance evaluation of gait-based personal authentication,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:02.525760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:12:02.062115Z digest=sha256:0dc40e39ca67e289383fa5526e13be81cd1bc50358a4bc7873852f90ba3479bd

Observation 92edadb3-5b4e-4980-9ea7-2667eaa7d6db · outbound

This paper cites Interiornet: Mega-scale multi- sensor photo-realistic indoor scenes dataset,.

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation Interiornet: Mega-scale multi- sensor photo-realistic indoor scenes dataset,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:02.489540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:12:02.074004Z digest=sha256:29b7d4960b41070de6d3bbee799a8ca3dffd876123b1b2752ecc4c024ec3cc68

Observation 080e3115-eb59-4d5e-946b-51ebab059858 · outbound

This paper cites Foot -mounted INS for everybody – an open-source embedded implementation,.

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation Foot -mounted INS for everybody – an open-source embedded implementation,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:02.454699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:12:02.082531Z digest=sha256:fa20f784e814a41435c9d95b625a25b9cf84434f57fae3cf664a0ca61ab133bf

Observation 440430e8-13a3-4408-9ef3-54244c491f5c · outbound

This paper cites an unresolved cited work.

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:12:02.423543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:12:02.089998Z digest=sha256:28095ceb45d64078e2bef90f86e2723dec26ee00e074c2aff26d87ab1a8c10a7

Observation 085d125a-24d0-4f17-82ea-264520cfc9fa · outbound

This paper cites an unresolved cited work.

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:12:02.394667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:12:02.096448Z digest=sha256:45d6d2c0c94fcdad11dd6c10f8c8044c0e019ca6770ed2337c7c33643c5239d0

Observation fd75e3ea-47bf-4efc-9f8a-4f0262fde99f · outbound

This paper cites Pedestrian dead - reckoning algorithms for dual foot-mounted inertial sensors,.

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation Pedestrian dead - reckoning algorithms for dual foot-mounted inertial sensors,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:02.332195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:12:02.102290Z digest=sha256:0ed6467d741ea10e741438777125d5226885581a7fe3549159f9f9a57decf6c8

Observation 338df524-afae-432a-890a-04b26635f7b0 · outbound

This paper cites Zero -velocity detection: An algorithm evaluation,.

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation Zero -velocity detection: An algorithm evaluation,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:02.300875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:12:02.109402Z digest=sha256:3d9b66616c173a53a7db7842014d0b720bcd80bd17da1e13beb1759b207e392b

Observation 85982fc1-d49b-4fa4-a4ba-a2983e022dfc · outbound

This paper cites Smoothing for ZUPT-aided INSs,.

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation Smoothing for ZUPT-aided INSs,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:02.272739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:12:02.116962Z digest=sha256:fd75dffa1d8f25f4de95312c8391a3079b15a3d61133baca6ba455ad7d9f19d7

Observation c31f83c2-8cb8-4520-af8b-9d2febe7c4f7 · outbound

This paper cites Dynamic Time Warping ,.

RuDaCoP: The Dataset for Smartphone-based Intellectual Pedestrian Navigation Dynamic Time Warping ,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:12:02.244852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:12:02.127472Z digest=sha256:dbb0114ec6350adea9cbdeed51601feed63e801598eff3c06672d129c26f3749

Pith citing papers

No inbound Pith citation observations are available.