Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T09:26:36.889853Z
Paper Citation Record · LEDGER
Learning Correlated Reward Models: Statistical Barriers and Opportunities
As of 7 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2510.15839.
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 2026-08-07T06:34:17.273281+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
15 of 15 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved14
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c73917f9-7a11-4f42-a2fd-5c811968dc87 · outbound
This paper cites an unresolved cited work.
Learning Correlated Reward Models: Statistical Barriers and Opportunities Unresolved cited work
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:26:35.885418Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c7f4e6f-4813-4b4a-a52b-9a7ecf976ab4 · outbound
This paper cites Computationally Efficient Estimation of Large Probit Models.
Learning Correlated Reward Models: Statistical Barriers and Opportunities Computationally Efficient Estimation of Large Probit Models
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:26:35.697061Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 126065f2-e99c-40d1-a8b5-bc4630b313d2 · outbound
This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.
Learning Correlated Reward Models: Statistical Barriers and Opportunities Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:26:35.768950Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f57f7a3-f773-495e-9cb1-76b915c8536d · outbound
This paper cites an unresolved cited work.
Learning Correlated Reward Models: Statistical Barriers and Opportunities Unresolved cited work
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:26:35.995397Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62b47645-4852-46ff-b316-18fb17cd9cf1 · outbound
This paper cites an unresolved cited work.
Learning Correlated Reward Models: Statistical Barriers and Opportunities Unresolved cited work
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:26:36.066369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f60a3da3-6114-4d34-92d3-12eb61886874 · outbound
This paper cites an unresolved cited work.
Learning Correlated Reward Models: Statistical Barriers and Opportunities Unresolved cited work
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:26:36.122443Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df93f430-b8d2-46d9-8ddb-48639f1fd38a · outbound
This paper cites β1i β1jp 1−β 2 1i q 1−β 2 1j # and bBij :=.
Learning Correlated Reward Models: Statistical Barriers and Opportunities β1i β1jp 1−β 2 1i q 1−β 2 1j # and bBij :=
Reference 8
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-04T09:26:36.227087Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc7e6363-d90b-45bf-b5a2-acfb53f7488f · outbound
This paper cites an unresolved cited work.
Learning Correlated Reward Models: Statistical Barriers and Opportunities Unresolved cited work
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:26:36.333513Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93250d10-b059-4a86-8b61-926615579223 · outbound
This paper cites Observe that each potential sub-matrix corresponds to an edge of the graph and the vertices correspond to entries of Σ that we aim to recover.
Learning Correlated Reward Models: Statistical Barriers and Opportunities Observe that each potential sub-matrix corresponds to an edge of the graph and the vertices correspond to entries of Σ that we aim to recover
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:26:36.480898Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7aff533-a115-4e7b-ac27-7b475c2a2729 · outbound
This paper cites an unresolved cited work.
Learning Correlated Reward Models: Statistical Barriers and Opportunities Unresolved cited work
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:26:36.551102Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdec3fd2-0384-40fd-a49a-a96390fe04e8 · outbound
This paper cites Lemma C.1.There exists a subgraphG ′ = (V, E′)withE ′ ⊂Esatisfying: |E′|⩽n 2 ∀v1, v2 ∈V: dist G′(v1, v2)⩽4(log(n) + 1).
Learning Correlated Reward Models: Statistical Barriers and Opportunities Lemma C.1.There exists a subgraphG ′ = (V, E′)withE ′ ⊂Esatisfying: |E′|⩽n 2 ∀v1, v2 ∈V: dist G′(v1, v2)⩽4(log(n) + 1)
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:26:36.617557Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66d55fea-4528-44d5-b37c-0d23734ce712 · outbound
This paper cites an unresolved cited work.
Learning Correlated Reward Models: Statistical Barriers and Opportunities Unresolved cited work
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:26:36.709026Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d54e5653-e93e-4186-9eb3-25ca3fc5cf90 · outbound
This paper cites an unresolved cited work.
Learning Correlated Reward Models: Statistical Barriers and Opportunities Unresolved cited work
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:26:36.807503Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc8b4e3f-c230-488f-80bf-68db4d3ba77c · outbound
This paper cites the movie database.
Learning Correlated Reward Models: Statistical Barriers and Opportunities the movie database
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:26:36.889853Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c74ad6dc-13a5-442a-9929-59b64fd4b3c3 · outbound
This paper cites InForty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27,.
Learning Correlated Reward Models: Statistical Barriers and Opportunities InForty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27,
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:26:35.628144Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.