Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Challenges and Future Directions of Data-Centric AI Alignment
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.01957.
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, observed 2026-08-07T14:15:22.733585Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:59:39.703461Z
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 5c888fa5-67c1-4b57-a5eb-a607d4ba7166 · inbound
Risk-aware Direct Preference Optimization under Nested Risk Measure cites this paper.
Risk-aware Direct Preference Optimization under Nested Risk Measure Challenges and Future Directions of Data-Centric AI Alignment
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:15:22.733585Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 782aba1f-e6cb-4374-a701-b56451811f89 · inbound
Aligning Language Models with Observational Data: Opportunities and Risks from a Causal Perspective cites this paper.
Aligning Language Models with Observational Data: Opportunities and Risks from a Causal Perspective Challenges and Future Directions of Data-Centric AI Alignment
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:16:14.584356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51bca18b-e073-4c5f-90a7-b2ccf62e6fdf · inbound
A Technical Survey of Reinforcement Learning Techniques for Large Language Models cites this paper.
A Technical Survey of Reinforcement Learning Techniques for Large Language Models Challenges and Future Directions of Data-Centric AI Alignment
Reference 20
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T19:59:39.743041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.