Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:11:33.795444Z
Paper Citation Record · LEDGER
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks
As of 16 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:1908.05835.
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 2026-08-16T06:30:59.297886+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
35 of 35 outbound references displayed
- verified exact0
- verified fuzzy34
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 90a85f6b-1443-4ce2-a5ea-61ef5b055b0c · outbound
This paper cites Estima tion of Spatially Correlated Random Fields in Heterogeneous Wireless Sensor Networks,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Estima tion of Spatially Correlated Random Fields in Heterogeneous Wireless Sensor Networks,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:35.119467Z
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.
Observation e83caa07-94f5-451d-9b96-4c9fc9b7e039 · outbound
This paper cites Optimal multi-type s ensor placements in gaussian spatial fields for environmental monitoring,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Optimal multi-type s ensor placements in gaussian spatial fields for environmental monitoring,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:35.074939Z
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.
Observation ae4651b4-ba92-4e20-b4f8-99fcdf995332 · outbound
This paper cites Short-ter m solar power forecasting based on weighted gaussian process regression,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Short-ter m solar power forecasting based on weighted gaussian process regression,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:35.046991Z
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.
Observation 61d1422f-1463-4650-b92a-8f96f4347547 · outbound
This paper cites Sohraby , D.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Sohraby , D
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:35.003166Z
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.
Observation 32242c8d-04af-4678-873d-f5cd292b3626 · outbound
This paper cites De centralized hypothesis testing in wireless sensor networks in the presence of misbehaving nodes,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks De centralized hypothesis testing in wireless sensor networks in the presence of misbehaving nodes,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.951071Z
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.
Observation 3bfc4b45-51da-4d1a-8785-6fe5fa286727 · outbound
This paper cites Calibration of mul ti-target tracking algorithms using non-cooperative targets,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Calibration of mul ti-target tracking algorithms using non-cooperative targets,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.900836Z
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.
Observation 16b49fcb-1141-43e9-8023-6e8cb9b7f02e · outbound
This paper cites Draft roadmap for next generation air monit oring,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Draft roadmap for next generation air monit oring,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.860891Z
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.
Observation 0559f0b7-ebba-40d6-bd83-ed3fba8de110 · outbound
This paper cites Model-based ren dezvous calibration of mobile sensor networks for monitoring air quality ,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Model-based ren dezvous calibration of mobile sensor networks for monitoring air quality ,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.833534Z
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.
Observation 96f3b51d-7f8f-4366-aefd-302bc21e6c06 · outbound
This paper cites Random access sen sor networks: Field reconstruction from incomplete data,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Random access sen sor networks: Field reconstruction from incomplete data,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.795961Z
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.
Observation f06d260a-1ae1-4b08-aa7e-e8a01892a67a · outbound
This paper cites Quality of information in mobile crowdsensing: Survey and research challenges,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Quality of information in mobile crowdsensing: Survey and research challenges,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.758272Z
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.
Observation 0a1b27bd-7ce4-4a56-8b34-d3ea75732f61 · outbound
This paper cites Using multi-parameters for calibr ation of low-cost sensors in urban environment,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Using multi-parameters for calibr ation of low-cost sensors in urban environment,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.729068Z
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.
Observation e0c1456d-15b7-4446-8c9d-fa72f776ca0a · outbound
This paper cites Possible artifacts of data biases in the recen t global surface warming hiatus,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Possible artifacts of data biases in the recen t global surface warming hiatus,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.704814Z
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.
Observation 7fccc67b-a261-4da7-aaf2-152a25de2712 · outbound
This paper cites Convex o ptimization approaches for blind sensor calibration using sparsity ,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Convex o ptimization approaches for blind sensor calibration using sparsity ,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.677622Z
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.
Observation 7e1d7ef5-a329-42b7-b820-401c1e4a009a · outbound
This paper cites On re ndezvous in mobile sensing networks,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks On re ndezvous in mobile sensing networks,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.615910Z
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.
Observation f36efda4-b7a2-4ca9-bbc5-79e9eb278dff · outbound
This paper cites Info rmed nonnegative matrix factorization methods for mobile sensor network calibration,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Info rmed nonnegative matrix factorization methods for mobile sensor network calibration,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.553322Z
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.
Observation 08b62531-b836-413e-b55a-99f886806963 · outbound
This paper cites Sensor calibration fo r off-the-grid spectral estimation,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Sensor calibration fo r off-the-grid spectral estimation,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.494995Z
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.
Observation 30f35d07-b245-459f-9ec2-7e41294f985a · outbound
This paper cites A non-convex approach to joi nt sensor calibration and spectrum estimation,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks A non-convex approach to joi nt sensor calibration and spectrum estimation,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.472063Z
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.
Observation b491d421-d2ed-4310-9bac-91cdb593a96e · outbound
This paper cites A secure opti mum distributed detection scheme in under-attack wireless sensor networks,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks A secure opti mum distributed detection scheme in under-attack wireless sensor networks,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.431953Z
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.
Observation 1aac07da-1607-4823-80ed-1a33332bd6d1 · outbound
This paper cites Collaborative spectrum sensing in the presence of byzantine attacks in cognitive radio networks,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Collaborative spectrum sensing in the presence of byzantine attacks in cognitive radio networks,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.403547Z
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.
Observation 889ccf02-7295-47bc-871c-09495bbc3888 · outbound
This paper cites Distributed ev ent detection under byzantine attack in wireless sensor 40 networks,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Distributed ev ent detection under byzantine attack in wireless sensor 40 networks,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.374131Z
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.
Observation f9672c1e-9897-4d53-9ec8-8489925afa21 · outbound
This paper cites Crowdsourcing urban survei llance: The development of homeland security markets for environmental sensor networks,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Crowdsourcing urban survei llance: The development of homeland security markets for environmental sensor networks,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.343226Z
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.
Observation 4277cc43-1e6e-4f26-abdf-fad58268b0e3 · outbound
This paper cites Crowd-based learning of spatial fields for the internet of things: From harvesting of data to inference,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Crowd-based learning of spatial fields for the internet of things: From harvesting of data to inference,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.306049Z
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.
Observation 3d33b368-94ef-4f7c-831b-971e7daa5325 · outbound
This paper cites Spatial field reconstruction and sensor selection in heterogeneous sensor networks with stochastic energy ha rvesting,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Spatial field reconstruction and sensor selection in heterogeneous sensor networks with stochastic energy ha rvesting,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.266564Z
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.
Observation eb793c1c-9b89-404e-b00d-cd333a81e706 · outbound
This paper cites How to Utilize Sen sor Network Data to Efficiently Perform Model Calibration and Spatial Field Reconstruction,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks How to Utilize Sen sor Network Data to Efficiently Perform Model Calibration and Spatial Field Reconstruction,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.235576Z
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.
Observation 8580242b-3ed1-4838-a58d-34fd34958b12 · outbound
This paper cites Random Field Reconstruction With Quantization in Wireless Sensor Networks,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Random Field Reconstruction With Quantization in Wireless Sensor Networks,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.202472Z
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.
Observation 6b0b6b1d-c5e4-4630-bb7f-3798cec79c9b · outbound
This paper cites Sampling and reconst ruction of spatial fields using mobile sensors,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Sampling and reconst ruction of spatial fields using mobile sensors,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.174157Z
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.
Observation 71d98bdc-043e-489f-ae1f-a57fc13bdad8 · outbound
This paper cites Estimating spatial averages of envi ronmental parameters based on mobile crowdsensing,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Estimating spatial averages of envi ronmental parameters based on mobile crowdsensing,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.148339Z
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.
Observation eba3b125-bf27-4871-b440-f865e17985fd · outbound
This paper cites A trust-base d mixture of gaussian processes model for reliable regression in participatory sensing.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks A trust-base d mixture of gaussian processes model for reliable regression in participatory sensing
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.112315Z
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.
Observation 1d502920-0566-4651-9983-6aa8e84dff57 · outbound
This paper cites Location-aw are cooperative spectrum sensing via Gaussian Processes,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Location-aw are cooperative spectrum sensing via Gaussian Processes,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:34.084439Z
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.
Observation b98075bc-ffcd-4402-ae8c-bbd7b0d3c31e · outbound
This paper cites an unresolved cited work.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T13:11:34.051390Z
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.
Observation 539b5eff-6637-4edf-9288-498dc200c459 · outbound
This paper cites Calibree: A self-calibration system for mobile sensor networks,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Calibree: A self-calibration system for mobile sensor networks,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:33.998400Z
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.
Observation 2a0f2fde-e3e7-40be-b7c1-b252203794b0 · outbound
This paper cites The cross-entropy method for combinat orial and continuous optimization,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks The cross-entropy method for combinat orial and continuous optimization,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:33.961586Z
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.
Observation 211b4536-cc4a-4cc2-8540-2a8598c589dc · outbound
This paper cites A gentle tutorial of the em algorithm and its application t o parameter estimation for gaussian mixture and hidden markov models,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks A gentle tutorial of the em algorithm and its application t o parameter estimation for gaussian mixture and hidden markov models,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:33.934826Z
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.
Observation 7a59956f-bdaf-435b-ad5d-6cc3b3a9e31e · outbound
This paper cites On the statistical analysis of dirty picture s,.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks On the statistical analysis of dirty picture s,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:33.898794Z
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.
Observation ffe39c9e-9739-4f39-8f08-6c5028352c37 · outbound
This paper cites Friedman, T.
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks Friedman, T
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T13:11:33.866416Z
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.
Pith citing papers
No inbound Pith citation observations are available.