Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fine-tuning and Utilization Methods of Domain-specific LLMs
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.02981.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:39:21.007950Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-09T06:45:44.147833Z
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 56542d17-5577-4ebc-bd31-b1ba87260097 · inbound
Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation cites this paper.
Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation Fine-tuning and Utilization Methods of Domain-specific LLMs
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:40:22.930321Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aef514c6-a7c5-4339-9c70-628bbe89d3c4 · inbound
A Survey: Towards Privacy and Security in Mobile Large Language Models cites this paper.
A Survey: Towards Privacy and Security in Mobile Large Language Models Fine-tuning and Utilization Methods of Domain-specific LLMs
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:39:16.601283Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 579eb49c-b699-4724-928f-819cc85ff41c · inbound
From Parameter Dynamics to Risk Scoring : Quantifying Sample-Level Safety Degradation in LLM Fine-tuning cites this paper.
From Parameter Dynamics to Risk Scoring : Quantifying Sample-Level Safety Degradation in LLM Fine-tuning Fine-tuning and Utilization Methods of Domain-specific LLMs
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:45:44.157141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation fc4598c9-bf75-496b-879b-eeecfad14b60 · inbound
Transforming Remanufacturing Automation with Large Language Models: A Forward-Looking Analysis with Case Studies cites this paper.
Transforming Remanufacturing Automation with Large Language Models: A Forward-Looking Analysis with Case Studies Fine-tuning and Utilization Methods of Domain-specific LLMs
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:54:47.266786Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9e56cd2-1b5c-48d7-aa6f-f9e9e1ae5fc6 · inbound
Training-Free Token-Level Steering for LLM Personalized Co-Writing cites this paper.
Training-Free Token-Level Steering for LLM Personalized Co-Writing Fine-tuning and Utilization Methods of Domain-specific LLMs
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:39:21.007950Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.