Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.07667.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:11:15.619772Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T04:42:33.850961Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 6a7627fc-133b-41b5-b33a-a9ab929449a0 · inbound
PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dba8c6d9-a6d2-462f-9b68-38fc751fdea4 · inbound
Neutralizing Backdoors through Information Conflicts for Large Language Models Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c517f5ed-9f60-4c20-9edb-110b04aee8ee · inbound
Trading Devil RL: Backdoor attack via Stock market, Bayesian Optimization and Reinforcement Learning Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models
Reference 91
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f7cfc2d-1ddc-48f4-b1ba-570a8dcaa382 · inbound
Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models
Reference 170
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4f077a8f-1203-4cba-a65a-f28d099fbb70 · inbound
Defense Against LLM Backdoors using Critical Neuron Isolation Pruning Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.