Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:49:56.677935Z
Paper Citation Record · LEDGER
On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation
As of 22 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2506.20585.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
16 of 16 outbound references displayed
- verified exact0
- verified fuzzy15
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 17987309-0db4-49d4-9081-78f10094ebc5 · outbound
This paper cites ETA Prediction with Graph Neural Networks in Google Maps,.
On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation ETA Prediction with Graph Neural Networks in Google Maps,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:49:59.589811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d116d4a2-43a1-403d-8322-1932af67a58b · outbound
This paper cites Sybil-Based Attacks on Google Maps or How to Forge the Image of City Life,.
On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation Sybil-Based Attacks on Google Maps or How to Forge the Image of City Life,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:49:59.445661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8177eb49-e20b-4c36-83ed-e3cb45fa55e9 · outbound
This paper cites Ghost Riders: Sybil Attacks on Crowdsourced Mobile Mapping Services,.
On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation Ghost Riders: Sybil Attacks on Crowdsourced Mobile Mapping Services,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:49:59.281991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8daf2dda-2b24-4025-9ff7-9d7f828165cf · outbound
This paper cites Exploiting Social Navigation.
On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation Exploiting Social Navigation
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:49:55.082580Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 747fc2bc-013c-4d70-9cd1-f093803d8bda · outbound
This paper cites SHIELD: A Data Verification Framework for Participatory Sensing Systems,.
On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation SHIELD: A Data Verification Framework for Participatory Sensing Systems,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:49:59.112410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 315e2f64-6bf6-4cae-b540-fbd99640d052 · outbound
This paper cites A Platform-Based Incentive Mechanism for Autonomous Vehicle Crowdsensing,.
On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation A Platform-Based Incentive Mechanism for Autonomous Vehicle Crowdsensing,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:49:58.927760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fe3c784d-b4da-4596-95ac-b554f311c9f5 · outbound
This paper cites Microscopic Traffic Simulation using SUMO,.
On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation Microscopic Traffic Simulation using SUMO,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:49:58.750314Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 901edc65-46db-4daa-8a78-87801be85e49 · outbound
This paper cites Trustworthy People- Centric Sensing: Privacy, Security and User Incentives Road-Map,.
On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation Trustworthy People- Centric Sensing: Privacy, Security and User Incentives Road-Map,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:49:58.569020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 38133891-9212-4507-a4dc-7cb0d8295e2c · outbound
This paper cites Sboing4Real: A Real-Time Crowdsensing- Based Traffic Management System,.
On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation Sboing4Real: A Real-Time Crowdsensing- Based Traffic Management System,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:49:58.353258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4ae861e9-6cb3-43d8-a541-47e0b2ddaa7f · outbound
This paper cites Adversarial Diffusion Attacks on Graph-Based Traffic Prediction Models,.
On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation Adversarial Diffusion Attacks on Graph-Based Traffic Prediction Models,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:49:58.163417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bef709e1-7db9-4930-bef6-9ad91af402d8 · outbound
This paper cites A Note on Two Problems in Connection with Graphs,.
On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation A Note on Two Problems in Connection with Graphs,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:49:57.985393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 79372f19-cb08-4522-b04c-a272b4be182d · outbound
This paper cites Detecting mobile crowdsensing sybil attackers via presence verification,.
On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation Detecting mobile crowdsensing sybil attackers via presence verification,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:49:57.807948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f09a85e9-344e-46b9-b8ea-c780e34dce88 · outbound
This paper cites Defending against Sybil Devices in Crowdsourced Mapping Services,.
On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation Defending against Sybil Devices in Crowdsourced Mapping Services,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:49:57.657475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 769cb27e-070d-4441-9377-1b3e763ed128 · outbound
This paper cites Sybil Attack Identification for Crowdsourced Navigation: A Self-Supervised Deep Learning Approach,.
On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation Sybil Attack Identification for Crowdsourced Navigation: A Self-Supervised Deep Learning Approach,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:49:57.480945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b23d85a4-0cc4-4274-9069-5a7385e33cd7 · outbound
This paper cites InTAS – The Ingol- stadt Traffic Scenario for SUMO,.
On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation InTAS – The Ingol- stadt Traffic Scenario for SUMO,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:49:57.162981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b9db61a3-a524-4520-be26-0f0b8a964c40 · outbound
This paper cites On Variants of Shortest-path Betweenness Centrality and their Generic Computation,.
On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation On Variants of Shortest-path Betweenness Centrality and their Generic Computation,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:49:56.921251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.