On the public citation graph

Truth Discovery by Claim and Source Embedding

0 signed · 66 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/tkde.2007.190745openalex-snapshot
Truth Discovery with Multiple Conflicting Information Providers on the Web
inferredcites →https://doi.org/10.1109/tkde.2015.2462357openalex-snapshot
Crowdsourcing for Top-K Query Processing over Uncertain Data
inferredcites →https://doi.org/10.1109/tkde.2016.2535383openalex-snapshot
Aggregating Crowdsourced Quantitative Claims: Additive and Multiplicative Models
inferredcites →https://doi.org/10.1109/tkde.2016.2550041openalex-snapshot
Task Assignment on Multi-Skill Oriented Spatial Crowdsourcing
inferredcites →https://doi.org/10.1109/tkde.2017.2755660openalex-snapshot
Personalized and Diverse Task Composition in Crowdsourcing
inferredcites →https://doi.org/10.1109/tkde.2018.2797962openalex-snapshot
SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing
inferredcites →https://doi.org/10.1145/1401890.1401965openalex-snapshot
Get another label? improving data quality and data mining using multiple, noisy labelers
inferredcites →https://doi.org/10.1145/1553374.1553488openalex-snapshot
Supervised learning from multiple experts
inferredcites →https://doi.org/10.1145/1718487.1718504openalex-snapshot
Corroborating information from disagreeing views
inferredcites →https://doi.org/10.1145/1963405.1963439openalex-snapshot
Semi-supervised truth discovery
inferredcites →https://doi.org/10.1145/2185677.2185737openalex-snapshot
On truth discovery in social sensing
inferredcites →https://doi.org/10.1145/2488388.2488476openalex-snapshot
Latent credibility analysis
inferredcites →https://doi.org/10.1145/2530289openalex-snapshot
Maximum likelihood analysis of conflicting observations in social sensing
inferredcites →https://doi.org/10.1145/2566486.2567989openalex-snapshot
Community-based bayesian aggregation models for crowdsourcing
inferredcites →https://doi.org/10.1145/2566486.2568033openalex-snapshot
The wisdom of minority
inferredcites →https://doi.org/10.1145/2588555.2610509openalex-snapshot
Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation
inferredcites →https://doi.org/10.1145/2623330.2623623openalex-snapshot
Knowledge vault
inferredcites →https://doi.org/10.1145/2623330.2623685openalex-snapshot
Entity profiling with varying source reliabilities
inferredcites →https://doi.org/10.1145/2623330.2623714openalex-snapshot
People on drugs
inferredcites →https://doi.org/10.1145/2736277.2741093openalex-snapshot
LINE
inferredcites →https://doi.org/10.1145/2783258.2783277openalex-snapshot
On the Discovery of Evolving Truth
inferredcites →https://doi.org/10.1145/2783258.2783307openalex-snapshot
PTE
inferredcites →https://doi.org/10.1145/2783258.2783314openalex-snapshot
FaitCrowd
inferredcites →https://doi.org/10.1145/2809695.2809719openalex-snapshot
Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems
inferredcites →https://doi.org/10.1145/2939672.2939816openalex-snapshot
A Truth Discovery Approach with Theoretical Guarantee
inferredcites →https://doi.org/10.1145/3132847.3133069openalex-snapshot
Truth Discovery by Claim and Source Embedding
inferredcites →https://doi.org/10.1145/3219819.3219958openalex-snapshot
Multi-Label Inference for Crowdsourcing
inferredcites →https://doi.org/10.1145/3308558.3313430openalex-snapshot
Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks
inferredcites →https://doi.org/10.1145/3308558.3313510openalex-snapshot
What We Vote for? Answer Selection from User Expertise View in Community Question Answering
inferredcites →https://doi.org/10.14778/1687627.1687690openalex-snapshot
Integrating conflicting data
inferredcites →https://doi.org/10.14778/2168651.2168656openalex-snapshot
A Bayesian approach to discovering truth from conflicting sources for data integration
inferredcites →https://doi.org/10.14778/2535568.2448943openalex-snapshot
Truth finding on the deep web
inferredcites →https://doi.org/10.14778/2732951.2732962openalex-snapshot
From data fusion to knowledge fusion
inferredcites →https://doi.org/10.14778/2735496.2735505openalex-snapshot
A confidence-aware approach for truth discovery on long-tail data
inferredcites →https://doi.org/10.1609/aaai.v28i1.8870openalex-snapshot
Knowledge Graph Embedding by Translating on Hyperplanes
inferredcites →https://doi.org/10.1609/aaai.v28i2.19016openalex-snapshot
Crowdsourcing for Multiple-Choice Question Answering
inferredcites →https://doi.org/10.1609/aaai.v29i1.9213openalex-snapshot
Learning User-Specific Latent Influence and Susceptibility from Information Cascades
inferredcites →https://doi.org/10.1609/aaai.v29i1.9491openalex-snapshot
Learning Entity and Relation Embeddings for Knowledge Graph Completion
inferredcites →https://doi.org/10.1609/aaai.v30i1.9996openalex-snapshot
ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources
inferredcites →https://doi.org/10.24963/ijcai.2017/413openalex-snapshot
Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing
inferredcites →https://doi.org/10.24963/ijcai.2017/416openalex-snapshot
Cascade Dynamics Modeling with Attention-based Recurrent Neural Network
inferredcites →https://doi.org/10.3115/1613715.1613751openalex-snapshot
Cheap and fast---but is it good?
inferredcites →https://doi.org/10.4135/9781412985475openalex-snapshot
Principal Components Analysis
inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot
Distributed Representations of Words and Phrases and their Compositionality
inferredcites →https://doi.org/10.48550/arxiv.1904.07785openalex-snapshot
Graph Wavelet Neural Network

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4691039openalex-extracted
Dependent Truth Discovery from Multiple Sources
inferred← citeshttps://doi.org/10.1007/978-3-030-60029-7_35openalex-snapshot
An End-to-End Deep Neural Network for Truth Discovery
inferred← citeshttps://doi.org/10.1007/s00607-024-01288-9openalex-snapshot
Generalizing truth discovery by incorporating multi-truth features
inferred← citeshttps://doi.org/10.1007/s00778-022-00757-xopenalex-snapshot
Enhancing domain-aware multi-truth data fusion using copy-based source authority and value similarity
inferred← citeshttps://doi.org/10.1007/s41060-024-00634-6openalex-snapshot
Claim polarity analysis from conflicting sources
inferred← citeshttps://doi.org/10.1016/j.ins.2020.09.019openalex-snapshot
Noisy label tolerance: A new perspective of Partial Multi-Label Learning
inferred← citeshttps://doi.org/10.1016/j.ins.2023.119245openalex-snapshot
DLFTI: A deep learning based fast truth inference mechanism for distributed spatiotemporal data in mobile crowd sensing
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107482openalex-snapshot
Probabilistic model for truth discovery with mean and median check framework
inferred← citeshttps://doi.org/10.1109/iintec48298.2019.9112104openalex-snapshot
Argumentative Approach for the Discovery Truth: The Role of Source Dependence
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191906openalex-snapshot
Multi-Truth Discovery While Being Aware of Unbalanced Data Distribution
inferred← citeshttps://doi.org/10.1109/jiot.2023.3288349openalex-snapshot
Blockchain-Based Lightweight and Privacy-Preserving Quality Assurance Framework in Crowdsensing Systems
inferred← citeshttps://doi.org/10.1109/jiot.2023.3308072openalex-snapshot
TVD-RA: A Truthful Data Value Discovery-Based Reverse Auction Incentive System for Mobile Crowdsensing
inferred← citeshttps://doi.org/10.1109/tbdata.2024.3423677openalex-snapshot
A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities
inferred← citeshttps://doi.org/10.1109/tcss.2026.3657429openalex-snapshot
Truth Discovery From Multiple Dependent Sources
inferred← citeshttps://doi.org/10.1109/tkde.2021.3054853openalex-snapshot
An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks
inferred← citeshttps://doi.org/10.1109/tkde.2021.3128365openalex-snapshot
2021 Index IEEE Transactions on Knowledge and Data Engineering Vol. 33
inferred← citeshttps://doi.org/10.1109/tkde.2022.3225308openalex-snapshot
TIRA: Truth Inference via Reliability Aggregation on Object-Source Graph
inferred← citeshttps://doi.org/10.1145/3565576openalex-snapshot
Crowdsourcing Truth Inference via Reliability-Driven Multi-View Graph Embedding
inferred← citeshttps://doi.org/10.1145/3582008openalex-snapshot
Secure and Lightweight Blockchain-based Truthful Data Trading for Real-Time Vehicular Crowdsensing
inferred← citeshttps://doi.org/10.14778/3648160.3648174openalex-snapshot
FusionQuery: On-demand Fusion Queries over Multi-source Heterogeneous Data
inferred← citeshttps://doi.org/10.54691/eghw4742openalex-snapshot
A Multi-truth Discovery Algorithm based on Statement Value Grouping and Data Source Information Richness
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.