Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2506.11415.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T19:27:04.088604Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T02:07:33.487385Z
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 5164d2d3-79ba-4a74-a880-8b9bbf275098 · inbound
Epistemic Bias Injection: Manipulating LLM Opinion via Selective Context Retrieval Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 425209cb-a80f-49e6-bc06-4261471c5c19 · inbound
Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ae227b23-faea-48a1-abfe-a839cf5a023b · inbound
SoK: Colluding Adversaries in Machine Learning Pipelines Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs
Reference 104
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e29d505d-0a96-438a-bed2-6fe1a025f584 · inbound
Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerability Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs
Reference 195
Source-reported events for the cited work
Unavailable: canonical work link unavailable.