Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Crafting Efficient Fine-Tuning Strategies for Large Language Models
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.13906.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T19:48:54.244910Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T00:33:52.643474Z
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 600ed0c1-0186-4e06-842a-c7b7645e9312 · inbound
Fine-Tuned LLMs are "Time Capsules" for Tracking Societal Bias Through Books cites this paper.
Fine-Tuned LLMs are "Time Capsules" for Tracking Societal Bias Through Books Crafting Efficient Fine-Tuning Strategies for Large Language Models
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:48:54.244910Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a072582-b58d-4136-9c7e-f42cfa4bb489 · inbound
A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search cites this paper.
A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search Crafting Efficient Fine-Tuning Strategies for Large Language Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T09:45:43.735716Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3dcc804-41bb-41f5-9f74-8370d6853b9a · inbound
Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective cites this paper.
Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective Crafting Efficient Fine-Tuning Strategies for Large Language Models
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:46:12.481875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 332bbcc2-47c4-43d7-a69e-3c00898df5ac · inbound
Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective cites this paper.
Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective Crafting Efficient Fine-Tuning Strategies for Large Language Models
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T00:33:52.645114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.