Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.14543.
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 2026-08-07T21:41:06.343493Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T10:41:39.343291Z
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 6c04a0d6-e02a-4e24-b9c8-0b2c1619cd80 · inbound
Mind What You Ask For: Emotional and Rational Faces of Persuasion by Large Language Models cites this paper.
Mind What You Ask For: Emotional and Rational Faces of Persuasion by Large Language Models Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:41:06.343493Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb561e06-711d-4c27-80fe-03cf726ec2d3 · inbound
Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling cites this paper.
Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:41:39.347403Z
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.