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Paper Citation Record · LEDGER

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study

As of 16 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:1908.08929.

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

pith.paper-citation-record.v1
1908.08929 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:27:17.187820Z

measured 21 of 21 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

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e09c740-dd2e-42f9-b2db-0c261a80b505 · outbound

This paper cites Crowdsend ing based public transport information service in smart cities,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study Crowdsend ing based public transport information service in smart cities,

Reference 1

Resolution
verified fuzzy
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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 4f127c34-dedb-4bcd-b560-ad8bf47a7da2 · outbound

This paper cites Secondnose: an air quality mobile crowdsensing system,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study Secondnose: an air quality mobile crowdsensing system,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:27:17.547434Z

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 6752fb90-c903-4561-b9c4-c6b0a39af2cf · outbound

This paper cites Multidim ensional context-aware social network architecture for mobile crow dsensing,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study Multidim ensional context-aware social network architecture for mobile crow dsensing,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:27:17.531181Z

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 2f8703bc-4cc5-473e-9ecd-f5f8fd5d3fd2 · outbound

This paper cites Estimating human trajectories and hotspots through mobile phone data,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study Estimating human trajectories and hotspots through mobile phone data,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:27:17.514664Z

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 1b1103cf-b971-46b5-b503-5e952f402af2 · outbound

This paper cites Exploring h uman move- ments in singapore: a comparative analysis based on mobile p hone and taxicab usages,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study Exploring h uman move- ments in singapore: a comparative analysis based on mobile p hone and taxicab usages,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:27:17.498198Z

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 d75c6ded-63a6-40bd-9bf8-09bea02881b6 · outbound

This paper cites Mini ng user similarity based on location history,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study Mini ng user similarity based on location history,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:27:17.480662Z

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 0e72bcfd-72a8-4fcd-ba3d-ec8e55a64c3e · outbound

This paper cites M ap- matching for low-sampling-rate gps trajectories,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study M ap- matching for low-sampling-rate gps trajectories,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:27:17.463469Z

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=2026-08-14T12:27:17.122481Z digest=sha256:7d0eb6003106b23c466641d0b85ab953f31c8267061780abecb02921feab2995

Observation 39b6bbc1-c571-40ae-b1bf-b10f1812025b · outbound

This paper cites Learning motion patterns and anomaly detection by human tr ajectory analysis,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study Learning motion patterns and anomaly detection by human tr ajectory analysis,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:27:17.446619Z

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 00efd4ad-d0a5-46fd-a125-b0b8c4cf8bca · outbound

This paper cites Iodetector: A generic service for indoor outdoor detection,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study Iodetector: A generic service for indoor outdoor detection,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:27:17.429665Z

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 62cd0490-d29a-479d-b7d2-9734eed74376 · outbound

This paper cites Extracting point of interest and clas sifying environment for low sampling crowd sensing smartphone sens or data,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study Extracting point of interest and clas sifying environment for low sampling crowd sensing smartphone sens or data,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:27:17.413740Z

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=2026-08-14T12:27:17.136053Z digest=sha256:99733e91db190a4e6c321ec03358ac53b01e1438fd2ea3497f161d6de80a6832

Observation 0dd40d7a-47bd-472e-9939-df3f8a1a69aa · outbound

This paper cites Underst anding the lifestyle of older population: Mobile crowdsensing app roach,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study Underst anding the lifestyle of older population: Mobile crowdsensing app roach,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:27:17.398023Z

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=2026-08-14T12:27:17.140917Z digest=sha256:f3b5fa3326921714485a9bf2bca97a6eda9881b3eb50ac5df3ef280d4bf8acfd

Observation 7ccd2838-47ae-4cb3-8406-0934e7d90e2a · outbound

This paper cites Crowdinside: automatic co nstruction of indoor floorplans,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study Crowdinside: automatic co nstruction of indoor floorplans,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:27:17.380427Z

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 42e4ee98-a961-4944-8002-2a61fde8b956 · outbound

This paper cites Spatio-tempor al (st) similarity model for constructing wifi-based rssi fingerpri nting map for indoor localization,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study Spatio-tempor al (st) similarity model for constructing wifi-based rssi fingerpri nting map for indoor localization,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:27:17.363716Z

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=2026-08-14T12:27:17.150512Z digest=sha256:3156d0df653b9cf235f357c0560af7b39c344492ab39de0178c13e9c10652054

Observation 9f5b1a45-9355-4c9b-bffa-1c95fb0ff6c4 · outbound

This paper cites Crowd-sensing simultaneous localiza tion and radio fingerprint mapping based on probabilistic similarit y models,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study Crowd-sensing simultaneous localiza tion and radio fingerprint mapping based on probabilistic similarit y models,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:27:17.344167Z

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=2026-08-14T12:27:17.155361Z digest=sha256:ede2a074bcc372120d1d86947c5708bd0dd8197eb2cc89c4350e8fd88f65522f

Observation 94891476-dfff-402b-b791-44b8494d6b6c · outbound

This paper cites Fusing similarity-ba sed sequence and dead reckoning for indoor positioning without training ,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study Fusing similarity-ba sed sequence and dead reckoning for indoor positioning without training ,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:27:17.326866Z

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=2026-08-14T12:27:17.160033Z digest=sha256:44f120361c101750f9d62d7037b54368f5cab659cb1caa012543e2914922b844

Observation 2c325254-8e29-481a-baaa-db3bd7c313a5 · outbound

This paper cites Mobile crowdsensing: cur rent state and future challenges,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study Mobile crowdsensing: cur rent state and future challenges,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:27:17.310067Z

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 bf1fb0ba-bc71-4b26-8a49-0b1cf62623d0 · outbound

This paper cites A survey of data fusion in smart city applications,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study A survey of data fusion in smart city applications,

Reference 17

Resolution
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raw_fallback, observed 2026-08-14T12:27:17.293014Z

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 e4f04c7d-9ea3-438c-9275-c3fe3c0de7fc · outbound

This paper cites Wi-Fi Scanning,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study Wi-Fi Scanning,

Reference 18

Resolution
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raw_fallback, observed 2026-08-14T12:27:17.276579Z

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 737e943a-68c1-42a6-86b0-5021f7dad88b · outbound

This paper cites an unresolved cited work.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:27:17.260671Z

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 6085cdb6-74ef-4bab-967e-cd524d4901cb · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databa ses with noise.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study A density-based algorithm for discovering clusters in large spatial databa ses with noise

Reference 20

Resolution
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raw_fallback, observed 2026-08-14T12:27:17.243449Z

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=2026-08-14T12:27:17.183499Z digest=sha256:5b7a4dcae47e32217ef3344c61573f52dc6566a4da0286c6f548bf9fdf8c43ed

Observation 9808511a-4304-4b4c-b665-acdc648a6fa0 · outbound

This paper cites Fast unfolding of communities in large networks,.

Identifying Indoor Points of Interest via Mobile Crowdsensing: An Experimental Study Fast unfolding of communities in large networks,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:27:17.226426Z

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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Pith citing papers

No inbound Pith citation observations are available.