Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.15330.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:36:36.780234Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T17:33:18.022133Z
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 e2adc53f-813d-4a80-abcc-0a698c2e3f3f · inbound
Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.
Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
Reference 181
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:36:36.780234Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bd1e196-8672-4d1c-8baf-edddea6c96e5 · inbound
GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation cites this paper.
GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T17:33:18.081272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.