Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2312.04730.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:51:08.283547Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T23:57:17.070864Z
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 d4eab460-2271-4564-b278-007c8904bd2f · inbound
XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions
Reference 67
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 937e60db-bb68-4755-864e-e46940ef7d65 · inbound
Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c1d2248-9164-4014-a77f-3ee2127b9e30 · inbound
MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions
Reference 54
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cbc77a68-d9ca-4d9d-a33d-29c36136f676 · inbound
When Prompts Go Wrong: Evaluating Code Model Robustness to Ambiguous, Contradictory, and Incomplete Task Descriptions DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions
Reference 40
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74c7822b-14eb-404c-b1ed-50d1f6456530 · inbound
RedCoder: Automated Multi-Turn Red Teaming for Code LLMs DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation edadc5a6-04e6-4541-8790-ec8afb6e8bf6 · inbound
A First Look at the Security Issues in the Model Context Protocol Ecosystem DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ad624bf0-2d03-4299-b408-e64053beb4b3 · inbound
Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7bed2130-f027-49f9-ab0d-c1d6e23eae1f · inbound
IssueTrojanBench: Benchmarking AI Coding Agents Against Malicious Issue Requests DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.