Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:10:52.863406Z
Paper Citation Record · LEDGER
Learning Juntas under Markov Random Fields
As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 2 inbound Pith citation observations for arXiv:2506.00764.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T15:34:16.625479Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T22:30:52.949291Z
Reference resolution
43 of 43 outbound references displayed
- verified exact2
- verified fuzzy39
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c14fa93f-5bf7-4189-9bf4-419f89bacd09 · outbound
This paper cites Public-key cryptography from different assumptions.
Learning Juntas under Markov Random Fields Public-key cryptography from different assumptions
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:59.090743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3f811d25-b2b7-4d4f-a5a3-24fdfeb21c86 · outbound
This paper cites Learning factor graphs in polynomial time and sample complexity.
Learning Juntas under Markov Random Fields Learning factor graphs in polynomial time and sample complexity
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:58.855445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c59d4cf7-edd3-45b0-825a-fa7ae1c80cac · outbound
This paper cites Agnostically learning juntas from random walks, 2008.
Learning Juntas under Markov Random Fields Agnostically learning juntas from random walks, 2008
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:58.612935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0d77d2ca-949b-4b42-996a-6463a6d5c9c7 · outbound
This paper cites Id3 learns juntas for smoothed product distributions.
Learning Juntas under Markov Random Fields Id3 learns juntas for smoothed product distributions
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:58.418923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8d7b3158-36dd-434f-964e-5da45e7707b4 · outbound
This paper cites Weakly learning dnf and characterizing statistical query learning using fourier analysis.
Learning Juntas under Markov Random Fields Weakly learning dnf and characterizing statistical query learning using fourier analysis
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:58.230993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 42fe576d-9328-457c-be62-72b8215e70ce · outbound
This paper cites Near-optimal learning of tree-structured distributions by chow-liu.
Learning Juntas under Markov Random Fields Near-optimal learning of tree-structured distributions by chow-liu
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:58.082206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2b3c1f07-aba4-46d2-b1e8-b307da4c7274 · outbound
This paper cites Blum and Pat Langley.
Learning Juntas under Markov Random Fields Blum and Pat Langley
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:57.934299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 402ae891-f2d6-4ccd-b183-60a6ce2467a7 · outbound
This paper cites Improved bounds for testing juntas.
Learning Juntas under Markov Random Fields Improved bounds for testing juntas
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:57.774626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bf3f7cbb-5d9a-4bae-b1cd-f0fc924c5a35 · outbound
This paper cites Testing juntas nearly optimally.
Learning Juntas under Markov Random Fields Testing juntas nearly optimally
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:57.581882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2aaec35d-56cc-4d85-937c-1e783115c18a · outbound
This paper cites Relevant examples and relevant features: Thoughts from computational learning theory.
Learning Juntas under Markov Random Fields Relevant examples and relevant features: Thoughts from computational learning theory
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:57.401706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 51825a21-c69f-4ce6-87aa-511765cd1491 · outbound
This paper cites Bshouty, E.
Learning Juntas under Markov Random Fields Bshouty, E
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:57.239577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 84c362e3-8b0b-4780-9a47-0aeee785dc53 · outbound
This paper cites Reconstruction of markov random fields from samples: Some observations and algorithms.
Learning Juntas under Markov Random Fields Reconstruction of markov random fields from samples: Some observations and algorithms
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:57.040463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bc35fa2b-8c38-49ab-a33a-22091d2fd26f · outbound
This paper cites Efficiently learning ising models on arbitrary graphs.
Learning Juntas under Markov Random Fields Efficiently learning ising models on arbitrary graphs
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:56.834636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2ef59dcd-fb50-4567-a4ba-9e34c66b8ef5 · outbound
This paper cites Markov fields on finite graphs and lattices.
Learning Juntas under Markov Random Fields Markov fields on finite graphs and lattices
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:56.690799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 71248075-528d-421e-81f6-fff3ab25f7c0 · outbound
This paper cites Learning the Sherrington-Kirkpatrick Model Even at Low Temperature.
Learning Juntas under Markov Random Fields Learning the Sherrington-Kirkpatrick Model Even at Low Temperature
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:10:53.185922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4aa23442-262c-4782-83ac-f2922f1e787f · outbound
This paper cites Smoothed analysis for learning concepts with low intrinsic dimension.
Learning Juntas under Markov Random Fields Smoothed analysis for learning concepts with low intrinsic dimension
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:56.546315Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation dbe93f9c-5596-4643-b622-de7ee1bf23de · outbound
This paper cites Approximating discrete probability distributions with dependence trees.
Learning Juntas under Markov Random Fields Approximating discrete probability distributions with dependence trees
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:10:50.805689Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87bacd2a-437f-4eb1-ac8a-397b26d6b4d6 · outbound
This paper cites Learning ising models from one or multiple samples.
Learning Juntas under Markov Random Fields Learning ising models from one or multiple samples
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:56.381990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 459ab760-f150-485e-b93c-04961f851fa4 · outbound
This paper cites Outlier-robust learning of ising models under dobrushin’s condition.
Learning Juntas under Markov Random Fields Outlier-robust learning of ising models under dobrushin’s condition
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:56.317260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d7a288c9-389f-4e34-897e-669b2a1d8745 · outbound
This paper cites Testing juntas.
Learning Juntas under Markov Random Fields Testing juntas
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:56.243188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a4dd99df-508e-4e07-8d32-d8cbebfb4ea5 · outbound
This paper cites Learning ising models with independent failures.
Learning Juntas under Markov Random Fields Learning ising models with independent failures
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:56.181511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4bbd9d23-0723-4d62-9bed-0e508dd0d6c3 · outbound
This paper cites Bypassing the Noisy Parity Barrier: Learning Higher-Order Markov Random Fields from Dynamics.
Learning Juntas under Markov Random Fields Bypassing the Noisy Parity Barrier: Learning Higher-Order Markov Random Fields from Dynamics
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:10:53.043047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5e99d183-190a-4c54-9d44-61a15217b316 · outbound
This paper cites Information theoretic properties of markov random fields, and their algorithmic applications.
Learning Juntas under Markov Random Fields Information theoretic properties of markov random fields, and their algorithmic applications
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:56.066577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b8986740-b813-42ef-b23b-0183dcf9b347 · outbound
This paper cites Smoothed analysis of online and differentially private learning.
Learning Juntas under Markov Random Fields Smoothed analysis of online and differentially private learning
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:55.887797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8cc57d43-a9e5-4c0f-9473-c596b0f773b3 · outbound
This paper cites Smoothed analysis with adaptive adversaries.
Learning Juntas under Markov Random Fields Smoothed analysis with adaptive adversaries
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:55.707768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 31ce9f80-1bdb-4949-883e-9980d88bd8f2 · outbound
This paper cites Jackson and Karl Wimmer.
Learning Juntas under Markov Random Fields Jackson and Karl Wimmer
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:55.573067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 764d0311-6ef8-4a64-bb99-176cc0bc1112 · outbound
This paper cites Efficient noise-tolerant learning from statistical queries.
Learning Juntas under Markov Random Fields Efficient noise-tolerant learning from statistical queries
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:55.420226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5142bc12-532b-443d-a911-cbc80a239efd · outbound
This paper cites Mcmc learning.
Learning Juntas under Markov Random Fields Mcmc learning
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:55.310470Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a355d7fb-ca25-4376-95e5-f08697360eb3 · outbound
This paper cites Klivans and Raghu Meka.
Learning Juntas under Markov Random Fields Klivans and Raghu Meka
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:55.185388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 90c92a97-f0e3-4c44-9576-fad811fb5c1d · outbound
This paper cites Learning and smoothed analysis.
Learning Juntas under Markov Random Fields Learning and smoothed analysis
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:55.076746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e21e68c0-d3d4-42cd-8b98-68abbf8da2d7 · outbound
This paper cites Decision trees are PAC-learnable from most product distributions: a smoothed analysis.
Learning Juntas under Markov Random Fields Decision trees are PAC-learnable from most product distributions: a smoothed analysis
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:10:51.930523Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7348139-3e71-49ae-8b08-b4bd0ecb57ae · outbound
This paper cites Learning to sample from censored markov random fields.
Learning Juntas under Markov Random Fields Learning to sample from censored markov random fields
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:54.945818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5d9baaa1-6737-4887-98a3-9d05693a67d9 · outbound
This paper cites Servedio.
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:54.824592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 67e283b1-4ed3-4d95-8585-a4ef4e50d234 · outbound
This paper cites Greedy learning of markov network structure.
Learning Juntas under Markov Random Fields Greedy learning of markov network structure
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:54.672438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 545bdbbc-4e1d-4763-9764-1076b85d8f1e · outbound
This paper cites Proclaiming dictators and juntas or testing boolean formulae.
Learning Juntas under Markov Random Fields Proclaiming dictators and juntas or testing boolean formulae
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:54.529929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2bdf4c17-315d-4f9f-807f-fb41e9edc409 · outbound
This paper cites On learning ising models under huber's contamination model.
Learning Juntas under Markov Random Fields On learning ising models under huber's contamination model
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:54.405494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8a534746-17fe-4f52-b777-08ed496da169 · outbound
This paper cites Spielman and Shang-Hua Teng.
Learning Juntas under Markov Random Fields Spielman and Shang-Hua Teng
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:54.281878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0b78679e-6d62-4301-88fa-9f1e5ae830ce · outbound
This paper cites Information-theoretic limits of selecting binary graphical models in high dimensions.
Learning Juntas under Markov Random Fields Information-theoretic limits of selecting binary graphical models in high dimensions
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:54.156615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 59b14a0a-f419-4077-b703-1ef40043e1f9 · outbound
This paper cites Learning graphs with a few hubs.
Learning Juntas under Markov Random Fields Learning graphs with a few hubs
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:53.993524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a3a284ab-b75b-4080-861a-65df306635b9 · outbound
This paper cites Finding correlations in subquadratic time, with applications to learning parities and juntas.
Learning Juntas under Markov Random Fields Finding correlations in subquadratic time, with applications to learning parities and juntas
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:53.857477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a2f62ba8-17be-42f3-9de1-d9cff061e311 · outbound
This paper cites Lokhov, and Michael Chertkov.
Learning Juntas under Markov Random Fields Lokhov, and Michael Chertkov
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:53.686490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4096cb9a-f237-4fb4-b2be-e96e85fdcdbd · outbound
This paper cites High-dimensional graphical model selection using _1 -regularized logistic regression.
Learning Juntas under Markov Random Fields High-dimensional graphical model selection using _1 -regularized logistic regression
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:53.474812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 60159897-dc12-4051-89d5-0593a5fb1bad · outbound
This paper cites Sparse logistic regression learns all discrete pairwise graphical models.
Learning Juntas under Markov Random Fields Sparse logistic regression learns all discrete pairwise graphical models
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:10:53.338131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
Observation f37d323b-f737-477b-b7fb-6fbc2621d801 · inbound
Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions cites this paper.
Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions Learning Juntas under Markov Random Fields
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T15:34:16.625479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce7cc849-353f-489f-b93e-f9b2dd599579 · inbound
Learning $\mathsf{AC}^0$ Under Graphical Models cites this paper.
Learning $\mathsf{AC}^0$ Under Graphical Models Learning Juntas under Markov Random Fields
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:30:52.955246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.