Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Emerging Safety Attack and Defense in Federated Instruction 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:2406.10630.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T00:50:00.321494Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T16:04:52.605296Z
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 433e8a0a-e080-43f3-a453-1f1df46206b3 · inbound
A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations cites this paper.
A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
Reference 91
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:50:00.321494Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2705b889-85ec-4a10-b550-af35e5a2100a · inbound
FedDetox: Robust Federated SLM Alignment via On-Device Data Sanitization cites this paper.
FedDetox: Robust Federated SLM Alignment via On-Device Data Sanitization Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:56:01.919305Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 70421370-835f-4fb0-9d50-877954eb5082 · inbound
Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs cites this paper.
Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T02:45:58.691689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f92bb088-bae5-4314-8b0f-0eb913073a3d · inbound
Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs cites this paper.
Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T17:18:42.590627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 361aa8e8-f599-4038-8c5e-18e1d689ced5 · inbound
Palette: A Modular, Controllable, and Efficient Framework for On-demand Authorized Safety Alignment Relaxation in LLMs cites this paper.
Palette: A Modular, Controllable, and Efficient Framework for On-demand Authorized Safety Alignment Relaxation in LLMs Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T16:04:52.606815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.