Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.02416.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:23:09.752446Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T00:59:20.697040Z
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 122f18a0-d412-4dd3-8907-aa78f2d2b866 · inbound
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 414498dc-713b-4933-89a7-c561d909e403 · inbound
A Survey on Model Extraction Attacks and Defenses for Large Language Models Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b8826cc-f58b-44a6-a5f9-b5353d3a9a5f · inbound
SLIP: Soft Label Mechanism and Key-Extraction-Guided CoT-based Defense Against Instruction Backdoor in APIs Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9a8515bc-a01e-45d7-9006-93550d9b20eb · inbound
Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.