Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.07645.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:10:34.873950Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T09:03:15.930846Z
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 d5420c02-c7c0-4766-a902-89421262a020 · inbound
Aligning Instruction Tuning with Pre-training cites this paper.
Aligning Instruction Tuning with Pre-training Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:10:34.873950Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29f2ddda-0812-4c22-9b01-1b0b63f25aeb · inbound
Guidance Contrastive Token Credit Assignment for Discrete Policy Optimization cites this paper.
Guidance Contrastive Token Credit Assignment for Discrete Policy Optimization Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T09:03:15.932515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.