Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Safety-Aware Fine-Tuning of Large Language Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.10014.
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 2026-08-06T15:01:47.772974Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T22:46:19.178997Z
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 9ee50a27-424d-4889-acf0-40ff3d11e85c · inbound
Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.
Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Safety-Aware Fine-Tuning of Large Language Models
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T20:58:26.304737Z
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.
Observation 82c5c459-c5e7-4430-96b4-4da7071c1999 · inbound
The Geometry of Harmfulness in LLMs through Subconcept Probing cites this paper.
The Geometry of Harmfulness in LLMs through Subconcept Probing Safety-Aware Fine-Tuning of Large Language Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:01:47.772974Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6539e77-ff78-40fe-b0f9-39faf69c38c7 · inbound
Reasoning Structure Matters for Safety Alignment of Reasoning Models cites this paper.
Reasoning Structure Matters for Safety Alignment of Reasoning Models Safety-Aware Fine-Tuning of Large Language Models
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:04.196829Z
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.
Observation 2aaf8c13-7213-4125-8ce9-064a8c404495 · inbound
GradShield: Alignment Preserving Finetuning cites this paper.
GradShield: Alignment Preserving Finetuning Safety-Aware Fine-Tuning of Large Language Models
Reference 33
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T04:45:00.976664Z
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.
Observation bdf80a7d-e029-4043-a8ce-80679228c471 · inbound
THRD: A Training-Free Multi-Turn Defense Framework for Jailbreak Attacks on Large Language Models cites this paper.
THRD: A Training-Free Multi-Turn Defense Framework for Jailbreak Attacks on Large Language Models Safety-Aware Fine-Tuning of Large Language Models
Reference 34
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T22:46:19.180928Z
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.