Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning Reward and Policy Jointly from Demonstration and Preference Improves Alignment
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.06874.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-15T01:57:37.847553Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T01:58:29.015767Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 432f54c0-3a6f-4f53-bd44-ce060d53b925 · inbound
Penalty-Based First-Order Methods for Bilevel Optimization with Minimax and Constrained Lower-Level Problems cites this paper.
Penalty-Based First-Order Methods for Bilevel Optimization with Minimax and Constrained Lower-Level Problems Learning Reward and Policy Jointly from Demonstration and Preference Improves Alignment
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T02:40:56.193500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 79196a24-a92f-4d0e-9e12-04e5c4a047eb · inbound
On the Nature of Regularity Assumptions in Bilevel Optimization with Constrained Lower-level Problem cites this paper.
On the Nature of Regularity Assumptions in Bilevel Optimization with Constrained Lower-level Problem Learning Reward and Policy Jointly from Demonstration and Preference Improves Alignment
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T01:58:29.017626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.