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 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:29:40.643633Z
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 e4eec5cf-e078-486a-b288-0b4fcdd8dfab · inbound
Education in the Era of Neurosymbolic AI cites this paper.
Education in the Era of Neurosymbolic AI Fine-tuning and Utilization Methods of Domain-specific LLMs
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:15:13.168022Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df824e5e-c767-40af-961e-2945b62619fb · inbound
Efficient Learning Content Retrieval with Knowledge Injection cites this paper.
Efficient Learning Content Retrieval with Knowledge Injection Fine-tuning and Utilization Methods of Domain-specific LLMs
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:37:16.305350Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f49c9ca-e82e-4dad-ad40-fbca0571d6ec · inbound
GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models cites this paper.
GEE-OPs: An Operator Knowledge Base for Geospatial Code Generation on the Google Earth Engine Platform Powered by Large Language Models Fine-tuning and Utilization Methods of Domain-specific LLMs
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:37:54.096111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1bcfb457-4e42-403d-b33e-24e07603a894 · inbound
RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios cites this paper.
RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios Fine-tuning and Utilization Methods of Domain-specific LLMs
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:25:31.568737Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5779f29-c2d7-4ac4-bfd2-bbe1dfdd6415 · inbound
Do Language Models Understand Time? cites this paper.
Do Language Models Understand Time? Fine-tuning and Utilization Methods of Domain-specific LLMs
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:47:17.404578Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c118b74d-40f4-45a1-bf3f-18eafd6e1160 · inbound
All-in-One Tuning and Structural Pruning for Domain-Specific LLMs cites this paper.
All-in-One Tuning and Structural Pruning for Domain-Specific LLMs Fine-tuning and Utilization Methods of Domain-specific LLMs
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:17:56.690667Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90babf4d-787c-4953-bef6-d13179e3a0af · inbound
ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine cites this paper.
ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine Fine-tuning and Utilization Methods of Domain-specific LLMs
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:58:36.372258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0b0a005-7daf-47ed-bb43-f3ca72d9ab41 · inbound
From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System cites this paper.
From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System Fine-tuning and Utilization Methods of Domain-specific LLMs
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:29:40.643633Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d90839d-4dbd-48ee-a93a-a208594a0a13 · inbound
MARK: Memory Augmented Refinement of Knowledge cites this paper.
MARK: Memory Augmented Refinement of Knowledge Fine-tuning and Utilization Methods of Domain-specific LLMs
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:15:00.345019Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-19T06:32:44.657259+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.