Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-30T11:49:35.327709Z
Paper Citation Record · LEDGER
Active Learning for Stochastic Contextual Linear Bandits
As of 9 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2605.24803.
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
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
19 of 19 outbound references displayed
- verified exact3
- verified fuzzy11
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 75a53ea7-5779-4f74-9f99-ddf14ebf28d9 · outbound
This paper cites A contextual-bandit algorithm for mo- bile context-aware recommender system.
Active Learning for Stochastic Contextual Linear Bandits A contextual-bandit algorithm for mo- bile context-aware recommender system
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T08:36:06.948629Z
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 88780afa-3224-4f39-8a10-a179370278c3 · outbound
This paper cites A short note on learning discrete distributions.
Active Learning for Stochastic Contextual Linear Bandits A short note on learning discrete distributions
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T11:54:38.394622Z
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 91328711-5186-447a-aa88-0448c01b8788 · outbound
This paper cites Active Preference Optimization for Sample Efficient RLHF.
Active Learning for Stochastic Contextual Linear Bandits Active Preference Optimization for Sample Efficient RLHF
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T11:54:38.397551Z
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 9b2dd146-3d6a-41ea-bb85-30046c1e08c1 · outbound
This paper cites Simple Regret Minimization for Contextual Bandits.
Active Learning for Stochastic Contextual Linear Bandits Simple Regret Minimization for Contextual Bandits
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T11:54:38.400425Z
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 2eda639d-6f0c-453d-8c1f-0f79d47eaf7c · outbound
This paper cites Clarabel: An interior-point solver for conic programs with quadratic objectives.
Active Learning for Stochastic Contextual Linear Bandits Clarabel: An interior-point solver for conic programs with quadratic objectives
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T11:54:38.408760Z
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 3bc4a6cf-c6a8-492e-815c-42e7a19b3f1d · outbound
This paper cites A faster interior point method for semidefinite programming.
Active Learning for Stochastic Contextual Linear Bandits A faster interior point method for semidefinite programming
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T08:36:06.972406Z
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 d1a59aeb-53ec-4b2b-883e-5e93ee7abd7b · outbound
This paper cites Near-optimal Policy Identification in Active Reinforcement Learning.
Active Learning for Stochastic Contextual Linear Bandits Near-optimal Policy Identification in Active Reinforcement Learning
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T11:54:38.405912Z
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 0310cb40-3e92-40ed-970d-e43a98e0add8 · outbound
This paper cites Sample-Efficient Alignment for LLMs.
Active Learning for Stochastic Contextual Linear Bandits Sample-Efficient Alignment for LLMs
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T11:54:38.403214Z
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 a9961935-fb89-4c50-8cd1-be5f5f5a10fe · outbound
This paper cites Then, E x∼p max a∈A ∥ϕ(x, a)∥2 Σ−1 ˆw ≤4C B + 32d·tv(p,ˆp).
Active Learning for Stochastic Contextual Linear Bandits Then, E x∼p max a∈A ∥ϕ(x, a)∥2 Σ−1 ˆw ≤4C B + 32d·tv(p,ˆp)
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T08:36:06.967389Z
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 72ef5a53-4395-4567-a6a7-6d74c2d4cde3 · outbound
This paper cites an unresolved cited work.
Active Learning for Stochastic Contextual Linear Bandits Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T08:36:06.969750Z
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 14fd74d7-c0de-429b-8c96-a9ec422baa0e · outbound
This paper cites solution concept.
Active Learning for Stochastic Contextual Linear Bandits solution concept
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T08:36:06.974609Z
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 780dbc30-b990-405f-b292-ce5b398de7ac · outbound
This paper cites (a) Linear bandits (b) Active learning (e.g., for regression) (c) Passive context sampling for SCLBs (d) Active context sampling for SCLBs Figure 4: Four learning paradigms.
Active Learning for Stochastic Contextual Linear Bandits (a) Linear bandits (b) Active learning (e.g., for regression) (c) Passive context sampling for SCLBs (d) Active context sampling for SCLBs Figure 4: Four learning paradigms
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T08:36:06.961459Z
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 482b9661-b4c4-4c34-930d-70c12aecd492 · outbound
This paper cites Thus our result is minimax optimal, up to polylog factors.
Active Learning for Stochastic Contextual Linear Bandits Thus our result is minimax optimal, up to polylog factors
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T08:36:06.958726Z
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 5b975061-7109-4a51-a16d-3c791cb0f14d · outbound
This paper cites (2022b) on an instance-dependent basis.
Active Learning for Stochastic Contextual Linear Bandits (2022b) on an instance-dependent basis
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T08:36:06.963682Z
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 f63a7dbe-ff67-47cd-834d-a8a93eb148e6 · outbound
This paper cites Planner-SamplerZanette et al.
Active Learning for Stochastic Contextual Linear Bandits Planner-SamplerZanette et al
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T08:36:06.956376Z
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 88ac9197-5229-44e1-8ec6-d1e5c533cc09 · outbound
This paper cites MOSEK is a software package for solving structured optimizations such as SDPs.
Active Learning for Stochastic Contextual Linear Bandits MOSEK is a software package for solving structured optimizations such as SDPs
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T08:36:06.954050Z
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 d5744fdf-b185-409c-99ff-eb1979deb3ce · outbound
This paper cites Baselines require significantly more samples for the average regret to match that of Active-SCLB-Empirical.
Active Learning for Stochastic Contextual Linear Bandits Baselines require significantly more samples for the average regret to match that of Active-SCLB-Empirical
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T08:36:06.951445Z
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 a9e2a916-fdae-4807-851b-12a6300eff05 · outbound
This paper cites Now, (B−1/2AB−1/2)−1 ⪯IimpliesB 1/2A−1B1/2 ⪯I.
Active Learning for Stochastic Contextual Linear Bandits Now, (B−1/2AB−1/2)−1 ⪯IimpliesB 1/2A−1B1/2 ⪯I
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T08:36:06.976810Z
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 fd883185-8083-436f-ba6f-5949e59bfc1d · outbound
This paper cites an unresolved cited work.
Active Learning for Stochastic Contextual Linear Bandits Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T08:36:06.945747Z
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
No inbound Pith citation observations are available.