Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:04:05.466183Z
Paper Citation Record · LEDGER
Obstacle-aware Gaussian Process Regression
As of 15 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2412.06160.
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 2026-08-15T06:32:42.880941+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
71 of 71 outbound references displayed
- verified exact7
- verified fuzzy59
- unresolved5
- parse uncertain0
- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 07307dc0-0932-477b-973f-8e6d4bc28ec1 · outbound
This paper cites EnGRaiN: a supervised ensemble learning method for recovery of large-scale gene regulatory networks.
Obstacle-aware Gaussian Process Regression EnGRaiN: a supervised ensemble learning method for recovery of large-scale gene regulatory networks
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8349fbfb-a2ef-463d-9961-2fe3a0ba92bb · outbound
This paper cites Proba- bilistically safe motion planning to avoid dynamic obstacles with uncertain motion patterns.
Obstacle-aware Gaussian Process Regression Proba- bilistically safe motion planning to avoid dynamic obstacles with uncertain motion patterns
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 85a6bc56-2f74-446e-8e5e-e92d2f02956f · outbound
This paper cites Learning to discover sparse graphical models.
Obstacle-aware Gaussian Process Regression Learning to discover sparse graphical models
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e1ad0bec-7408-4394-b468-a8657a1376d4 · outbound
This paper cites ICU mortality prediction: a classi- fication algorithm for imbalanced datasets.
Obstacle-aware Gaussian Process Regression ICU mortality prediction: a classi- fication algorithm for imbalanced datasets
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c13fb596-dbc3-4b78-a9ae-fe573fdc233c · outbound
This paper cites Methods and systems for predicting mortality of a patient, November 5 2019.
Obstacle-aware Gaussian Process Regression Methods and systems for predicting mortality of a patient, November 5 2019
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 12fba148-c3ca-4fe6-a996-7ffeb7ce306d · outbound
This paper cites Hierarchi- cal video prediction using relational layouts for human-object interactions.
Obstacle-aware Gaussian Process Regression Hierarchi- cal video prediction using relational layouts for human-object interactions
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.355549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c43aae54-9d3f-48e9-a93b-a31b5a94f61d · outbound
This paper cites SMOTE: syn- thetic minority over-sampling technique.
Obstacle-aware Gaussian Process Regression SMOTE: syn- thetic minority over-sampling technique
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.345434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 899e22c7-26fc-4d02-a647-d108c06d9c7f · outbound
This paper cites an unresolved cited work.
Obstacle-aware Gaussian Process Regression Unresolved cited work
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 39801f02-03d4-4a72-8566-1be3f9d394cb · outbound
This paper cites Gaussian process models with parallelization and gpu acceleration.
Obstacle-aware Gaussian Process Regression Gaussian process models with parallelization and gpu acceleration
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.325705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 452f9be5-c666-43cd-a512-c47ea63abf56 · outbound
This paper cites UCI machine learn- ing repository, 2017.
Obstacle-aware Gaussian Process Regression UCI machine learn- ing repository, 2017
Reference 10
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fbb12758-a44d-4862-8dec-bb9b02908ef1 · outbound
This paper cites Mod- elling pedestrian trajectory patterns with gaussian processes.
Obstacle-aware Gaussian Process Regression Mod- elling pedestrian trajectory patterns with gaussian processes
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.306473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e72551af-f890-458f-8eca-0042b29db568 · outbound
This paper cites Self- supervised representation learning by rotation fea- ture decoupling.
Obstacle-aware Gaussian Process Regression Self- supervised representation learning by rotation fea- ture decoupling
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.296458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cc2d5c5b-aedb-4ef5-9741-7abccf5f55db · outbound
This paper cites Self-supervised video rep- resentation learning with odd-one-out networks.
Obstacle-aware Gaussian Process Regression Self-supervised video rep- resentation learning with odd-one-out networks
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.284793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 544cf5bf-b874-4751-b6b1-18943d0806f6 · outbound
This paper cites Inferring pop- ulation dynamics from single-cell rna-sequencing time series data.
Obstacle-aware Gaussian Process Regression Inferring pop- ulation dynamics from single-cell rna-sequencing time series data
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.273710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8c006188-a351-4acd-8ae1-eac4f78f723c · outbound
This paper cites Geodict: an inte- grated gazetteer.
Obstacle-aware Gaussian Process Regression Geodict: an inte- grated gazetteer
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.263467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f392e5ec-61d0-40d4-aa09-72289f5d817b · outbound
This paper cites Sparse inverse covariance estimation with the graphical lasso.
Obstacle-aware Gaussian Process Regression Sparse inverse covariance estimation with the graphical lasso
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.253777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 350596c9-1467-428c-a547-ef5fdb54b319 · outbound
This paper cites Ras- mussen.
Obstacle-aware Gaussian Process Regression Ras- mussen
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.244815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ad5f05f2-e189-44f9-8473-ed54c21db3ac · outbound
This paper cites Gaurav Shrivastava Gpytorch: Blackbox matrix-matrix gaussian pro- cess inference with gpu acceleration.
Obstacle-aware Gaussian Process Regression Gaurav Shrivastava Gpytorch: Blackbox matrix-matrix gaussian pro- cess inference with gpu acceleration
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.234598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 588f0d18-6f3e-4005-8c74-3bd51532bb99 · outbound
This paper cites Gardner, Geoff Pleiss, David Bindel, Kil- ian Q.
Obstacle-aware Gaussian Process Regression Gardner, Geoff Pleiss, David Bindel, Kil- ian Q
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.223031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fb8d8ca2-2114-4ef8-a435-f8ee0929e0f6 · outbound
This paper cites an unresolved cited work.
Obstacle-aware Gaussian Process Regression Unresolved cited work
Reference 20
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 08583f65-1539-49c1-9ae0-f82078534f48 · outbound
This paper cites Network lasso: Clustering and optimization in large graphs.
Obstacle-aware Gaussian Process Regression Network lasso: Clustering and optimization in large graphs
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.199535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7860b3c5-1ea2-40e8-9fb5-6219bde96d70 · outbound
This paper cites A bayesian analysis of kriging.
Obstacle-aware Gaussian Process Regression A bayesian analysis of kriging
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.188130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4e903bb9-ea2b-4daa-b821-5fb08e6c8b87 · outbound
This paper cites Harley, Shrinidhi K.
Obstacle-aware Gaussian Process Regression Harley, Shrinidhi K
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.176711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 287bc120-08dd-47d0-97b4-8eb6a697d42d · outbound
This paper cites Momentum contrast for unsu- pervised visual representation learning.
Obstacle-aware Gaussian Process Regression Momentum contrast for unsu- pervised visual representation learning
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.164619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 12548033-0314-446b-ba19-e52507901790 · outbound
This paper cites Lawrence.
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.153771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 488bf2ee-0b5e-4ebe-9479-f364884f54ef · outbound
This paper cites On simulation and tra- jectory prediction with gaussian process dynamics.
Obstacle-aware Gaussian Process Regression On simulation and tra- jectory prediction with gaussian process dynamics
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.141916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 33f57b99-0eda-4c8f-9738-24c2a7ec72a6 · outbound
This paper cites Parametric gaussian process regressors.
Obstacle-aware Gaussian Process Regression Parametric gaussian process regressors
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.130419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dfa9f93e-1d90-4763-9f96-c0893954f314 · outbound
This paper cites Stochastic processes and filtering theory.
Obstacle-aware Gaussian Process Regression Stochastic processes and filtering theory
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.117880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e7bfae54-a5a1-43de-bc37-7a8e31c9dc1f · outbound
This paper cites Probabilistic graphical models: principles and techniques.
Obstacle-aware Gaussian Process Regression Probabilistic graphical models: principles and techniques
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:04:05.321703Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75c5b787-602d-4857-8559-c52f94c61c35 · outbound
This paper cites Continuous-state hmms for modeling time-series single-cell rna-seq data.
Obstacle-aware Gaussian Process Regression Continuous-state hmms for modeling time-series single-cell rna-seq data
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.098121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 538ab844-36d3-47e6-960a-8fed5cc24966 · outbound
This paper cites Obstacle-aware adap- tive informative path planning for uav-based target search.
Obstacle-aware Gaussian Process Regression Obstacle-aware adap- tive informative path planning for uav-based target search
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.087444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7cf4b5d5-33c0-42a9-80c9-5725a325c82b · outbound
This paper cites Distributed representa- tions of words and phrases and their composition- ality.
Obstacle-aware Gaussian Process Regression Distributed representa- tions of words and phrases and their composition- ality
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.076760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f18c979c-f870-40c1-bb3a-a9ee26c6b9fd · outbound
This paper cites Self- supervised learning of pretext-invariant represen- tations.
Obstacle-aware Gaussian Process Regression Self- supervised learning of pretext-invariant represen- tations
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.063814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e2197a28-c944-4680-8772-bb8a6c9c1b72 · outbound
This paper cites Shuffle and learn: unsupervised learning using temporal order verification.
Obstacle-aware Gaussian Process Regression Shuffle and learn: unsupervised learning using temporal order verification
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.052735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5e50b06f-f55a-4131-aa7e-ca0b306deb9c · outbound
This paper cites Learning word embeddings efficiently with noise-contrastive estimation.
Obstacle-aware Gaussian Process Regression Learning word embeddings efficiently with noise-contrastive estimation
Reference 35
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5cd28649-9ab3-422d-881f-b09fd4a6b4a0 · outbound
This paper cites Learning to learn graph topologies.
Obstacle-aware Gaussian Process Regression Learning to learn graph topologies
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.032664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b0635673-5b51-4ef7-b8f1-675a5a7c0619 · outbound
This paper cites Ad- dressing the class imbalance problem in medical datasets.
Obstacle-aware Gaussian Process Regression Ad- dressing the class imbalance problem in medical datasets
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.022005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bd7419ce-18f5-40d6-9148-5c16755a6891 · outbound
This paper cites AntMan: Sparse Low-Rank Compression to Accelerate RNN inference.
Obstacle-aware Gaussian Process Regression AntMan: Sparse Low-Rank Compression to Accelerate RNN inference
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T20:04:05.598044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6ed9f252-2291-4538-a30e-e9b620f8b564 · outbound
This paper cites Gaussian processes in machine learning.
Obstacle-aware Gaussian Process Regression Gaussian processes in machine learning
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:04:05.354825Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 990e53cf-b6ea-40bb-b1d7-227b7a3d0ff9 · outbound
This paper cites Occam’s razor.
Obstacle-aware Gaussian Process Regression Occam’s razor
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:06.003731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9a007694-b2a4-4e3e-942b-2732742edc6b · outbound
This paper cites Valorcarn-tetis: Terms extracted with biotex.
Obstacle-aware Gaussian Process Regression Valorcarn-tetis: Terms extracted with biotex
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.875329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9fbbbfa5-e4ec-4f38-bcce-59b3f121be9f · outbound
This paper cites Iterative thresholding algorithm for sparse inverse covari- ance estimation.
Obstacle-aware Gaussian Process Regression Iterative thresholding algorithm for sparse inverse covari- ance estimation
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.864737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2a3f168c-74f3-4f19-9132-85efaef59332 · outbound
This paper cites Recogniz- ing actions using object states.
Obstacle-aware Gaussian Process Regression Recogniz- ing actions using object states
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.853834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 655b1a4a-24c6-43f4-a601-375fef2739fb · outbound
This paper cites Sermanet, C.
Obstacle-aware Gaussian Process Regression Sermanet, C
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.843296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 41bba0cd-d185-4a5e-83cc-49793fe109a1 · outbound
This paper cites Diverse Video Generation.
Obstacle-aware Gaussian Process Regression Diverse Video Generation
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.833637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 930847b6-02e1-4c59-9f31-e587eb965cb5 · outbound
This paper cites PhD thesis, University of Maryland, College Park, 2024.
Obstacle-aware Gaussian Process Regression PhD thesis, University of Maryland, College Park, 2024
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.823025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f6124e67-def1-491f-b506-59cf1a05ef74 · outbound
This paper cites Video dynamics prior: An internal learning approach for robust video enhancements.
Obstacle-aware Gaussian Process Regression Video dynamics prior: An internal learning approach for robust video enhancements
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.810752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 78d84e84-2c52-4089-891f-22b91128feb7 · outbound
This paper cites Video decomposition prior: Editing videos layer by layer.
Obstacle-aware Gaussian Process Regression Video decomposition prior: Editing videos layer by layer
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.798549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9e205fdc-35cf-4c2b-bccf-ce2715acf1cb · outbound
This paper cites Diverse Video Generation using a Gaussian Process Trigger.
Obstacle-aware Gaussian Process Regression Diverse Video Generation using a Gaussian Process Trigger
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T20:04:05.584259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 696cbfdb-cec1-4a33-b42a-2e591f86d890 · outbound
This paper cites Video prediction by modeling videos as contin- uous multi-dimensional processes.
Obstacle-aware Gaussian Process Regression Video prediction by modeling videos as contin- uous multi-dimensional processes
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.786845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3bcd3d66-a2b2-4d79-9f14-af0b20ec5938 · outbound
This paper cites On Using Inductive Biases for Designing Deep Learning Architectures.
Obstacle-aware Gaussian Process Regression On Using Inductive Biases for Designing Deep Learning Architectures
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.777143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e8ac3751-0472-41f2-a112-71cb23c6bd52 · outbound
This paper cites Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification.
Obstacle-aware Gaussian Process Regression Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T20:04:05.568936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a7dc7866-eec5-49d6-8a5d-9dc80a364c92 · outbound
This paper cites Methods for Recovering Conditional Independence Graphs: A Survey.
Obstacle-aware Gaussian Process Regression Methods for Recovering Conditional Independence Graphs: A Survey
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T20:04:05.553716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation df664ce7-2325-4920-824d-3c8ead597c1f · outbound
This paper cites Neural Graphical Models.
Obstacle-aware Gaussian Process Regression Neural Graphical Models
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T20:04:05.539003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e18dea48-acb7-45ae-b973-8c7b8a49c4d1 · outbound
This paper cites A deep learning ap- proach to recover conditional independence graphs.
Obstacle-aware Gaussian Process Regression A deep learning ap- proach to recover conditional independence graphs
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.767130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2a6ed24e-f86d-4d79-8d91-6f28e86417db · outbound
This paper cites uGLAD: Sparse graph recovery by optimizing deep unrolled networks.
Obstacle-aware Gaussian Process Regression uGLAD: Sparse graph recovery by optimizing deep unrolled networks
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T20:04:05.524931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e86d7f4d-070d-48ed-92de-6738e6a27694 · outbound
This paper cites GLAD: Learning Sparse Graph Recovery.
Obstacle-aware Gaussian Process Regression GLAD: Learning Sparse Graph Recovery
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T20:04:05.509707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7e565d94-5b62-4894-81a8-40f081f42b7e · outbound
This paper cites Classification with imbalance: A similarity-based method for predicting respiratory failure.
Obstacle-aware Gaussian Process Regression Classification with imbalance: A similarity-based method for predicting respiratory failure
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.757735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 97cfb725-1786-4097-bc15-1f6dcfd32fb2 · outbound
This paper cites System and method for predicting health condition of a patient, Au- gust 10 2021.
Obstacle-aware Gaussian Process Regression System and method for predicting health condition of a patient, Au- gust 10 2021
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.746576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a38a10cb-1c59-484f-a5f5-a0f629ac38dc · outbound
This paper cites GRNUlar: Gene regulatory net- work reconstruction using unrolled algorithm from single cell RNA-sequencing data.
Obstacle-aware Gaussian Process Regression GRNUlar: Gene regulatory net- work reconstruction using unrolled algorithm from single cell RNA-sequencing data
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.734688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7ae5a9ab-1c86-4095-a813-3f25948b2b21 · outbound
This paper cites GRNUlar: A deep learning frame- work for recovering single-cell gene regulatory net- works.
Obstacle-aware Gaussian Process Regression GRNUlar: A deep learning frame- work for recovering single-cell gene regulatory net- works
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.723572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7d9b1ab7-e68a-4f7c-83b1-4eabb5fbaeb6 · outbound
This paper cites Monthly streamflow forecasting using gaussian process regression.
Obstacle-aware Gaussian Process Regression Monthly streamflow forecasting using gaussian process regression
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.711356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f1653069-d353-480e-8a3c-abe874b05ced · outbound
This paper cites Gard- ner, Stephen Tyree, Kilian Q.
Obstacle-aware Gaussian Process Regression Gard- ner, Stephen Tyree, Kilian Q
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.699406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 732388f1-12e3-40c7-8810-54b32089aa9a · outbound
This paper cites Bayesian learn- ing via stochastic gradient langevin dynamics.
Obstacle-aware Gaussian Process Regression Bayesian learn- ing via stochastic gradient langevin dynamics
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.687453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 48413822-5722-4a45-9f2c-0d96745f3160 · outbound
This paper cites Gaussian Process Modelling for Audio Signals.
Obstacle-aware Gaussian Process Regression Gaussian Process Modelling for Audio Signals
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.672841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c2dabc24-597c-49a1-b3dd-deaf7ae213e1 · outbound
This paper cites Thoughts on massively scalable gaussian processes.
Obstacle-aware Gaussian Process Regression Thoughts on massively scalable gaussian processes
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.660488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 879ecfc1-fa65-48f8-ba61-94a7370efd74 · outbound
This paper cites an unresolved cited work.
Obstacle-aware Gaussian Process Regression Unresolved cited work
Reference 67
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T20:04:05.649318Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8518c223-8010-40ee-9e63-d62ef78d1987 · outbound
This paper cites Ker- nel interpolation for scalable structured gaussian processes (kiss-gp).
Obstacle-aware Gaussian Process Regression Ker- nel interpolation for scalable structured gaussian processes (kiss-gp)
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.639980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0511cf0c-9225-4b8b-898c-cb1c8a63a66e · outbound
This paper cites Diverse trajectory fore- casting with determinantal point processes.
Obstacle-aware Gaussian Process Regression Diverse trajectory fore- casting with determinantal point processes
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.629632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6c28d5d2-d857-40a8-a414-169b4b03d816 · outbound
This paper cites DAGs with NO TEARS: Continuous optimization for structure learning.
Obstacle-aware Gaussian Process Regression DAGs with NO TEARS: Continuous optimization for structure learning
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.618891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 356b9126-74dd-4eb6-ae89-b5522b264e6e · outbound
This paper cites Learning sparse non- parametric DAGs.
Obstacle-aware Gaussian Process Regression Learning sparse non- parametric DAGs
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:04:05.607638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.