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Paper Citation Record · LEDGER

Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.10630.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2406.10630 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:24:12.414625Z

measured 0 of 1 external citation measurements

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 8942d03f-de69-468c-8362-07b22d232d05 · inbound

PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning cites this paper.

PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T10:19:26.426505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:19:26.426505Z digest=sha256:303ea44ea11c28cf21f5fa3a4f3082eb40da973862f3459a1a8f1d8ce3b60ca9

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.

source=pdf_text observed=2026-08-09T00:50:00.321494Z digest=sha256:646132e71970351c957f4b12e5cd1e332c489e197b162d27c1b7edda4dcbdabf

Observation 9c972531-964f-417f-b710-26c4971d3b33 · inbound

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment cites this paper.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models

Reference 147

Resolution
unresolved
no resolver link, observed 2026-08-16T11:24:12.414625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:24:12.414625Z digest=sha256:a574797e6de478fd145ce773e50f099dc527c190cb18739ab8981ed4b9cf2a4e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T17:22:40.613937Z digest=sha256:96acfddfbd58a263a9adf75494900a86bc6dd3b074a5fd5bb0a14e20862fdffa

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-11T02:42:04.741382Z digest=sha256:5185b35737fa589d6d1568fdbbb93a06e164c490e0834d25696d8296b7df1d21

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.

source=pdf_text observed=2026-07-12T17:18:42.590627Z digest=sha256:065f6fefa99304e67fadd0f609a75d1de3ad16e63a2522e910fd82b1f29c0edc

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T16:03:12.728352Z digest=sha256:d4c6ebf26a549e817d25de2acec0c6b27d38ff28894c915f3213e371c38758ad