Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.10766.
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 2026-08-07T05:52:18.384607Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-16T12:40:54.699197Z
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 850ffb49-167d-49ec-a6ea-77e74aabfc8b · inbound
What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding cites this paper.
What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:52:18.384607Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 974dbbd9-b83e-439d-a73b-8b2e88dc245f · inbound
Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models cites this paper.
Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients
Reference 171
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T12:40:54.700960Z
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.