Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T12:28:45.332809Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.19361.
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, observed 2026-08-02T12:28:45.332809Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
34 of 34 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 5d28862d-fae3-4ee1-a886-4824d2dfb5ac · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework CoSafe: A collection of multi-turn LLM conversations for safety evaluation
Reference 1
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Unavailable: canonical work link unavailable.
Observation 19a12802-f880-4117-8fec-1909f2b22093 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Guide for mapping types of information and information systems to security categories
Reference 2
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Observation df5dd028-2dfc-48b2-8fc6-5d4bffc19e09 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework HarmBench: A standardized evaluation framework for automated red teaming and robust refusal
Reference 3
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Observation 56207b61-97b9-4cad-8147-8521e1da08f7 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Universal and Transferable Adversarial Attacks on Aligned Language Models
Reference 4
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Observation 68d59a61-f47f-4f7e-a60f-00c156878653 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Universal adver- sarial triggers for attacking and analyzing NLP
Reference 5
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Observation c0e4edb4-4065-428e-b999-93282e9b7087 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Do Anything Now
Reference 6
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Observation 864be882-bf02-438c-a84d-4e2ad5157d04 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Jailbroken: How does LLM safety training fail? InAdvances in Neural Information Processing Systems, volume 36, pages 71988– 72006
Reference 7
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Observation 25212952-a382-4def-92cd-49464773fd24 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Ignore Previous Prompt: Attack Techniques For Language Models
Reference 8
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Observation 7b8bacf4-3986-4ba9-b777-766826fd236c · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Not what you’ve signed up for: Compromising real-world LLM-integrated applications with indirect prompt injection
Reference 9
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Observation 4659aad0-d9f8-4407-b99e-53ac129d3541 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations
Reference 10
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Observation 394f09dc-e471-49c1-82ba-a426fa996511 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Qwen3Guard Technical Report
Reference 11
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Observation 0131db4f-d951-4312-9da8-867a5324e1b1 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework CoSafe: Evaluating large language model safety in multi-turn dialogue coreference
Reference 12
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Observation 71421a47-7c67-47ea-a769-0458ddf6eb4c · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework AgentDoG: A Diagnostic Guardrail Framework for AI Agent Safety and Security
Reference 13
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Observation 1e147a70-fad7-4b4a-8d59-884a7d741f12 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework TraceSafe: A Systematic Assessment of LLM Guardrails on Multi-Step Tool-Calling Trajectories
Reference 14
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Observation 0e554159-ce59-4c6f-aa1f-d3ec84906917 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Unsupervised domain adaptation by backpropagation
Reference 15
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Observation 9abe967a-8553-413c-9f18-e57a8e718e6f · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Bag of Tricks for Efficient Text Classification
Reference 16
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Observation 6466bbad-fc49-4a5b-b8fc-9398a49ca24a · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Artificial intelligence risk management frame- work (AI RMF 1.0)
Reference 17
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Observation fad88ade-cb31-4cd5-abcd-7327bf13b8bb · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Unresolved cited work
Reference 18
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Observation 0a1ed6e9-9733-48e1-bcea-70f601bb6959 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Deep reinforcement learning from human preferences.Advances in Neural Information Processing Systems, 30, 2017
Reference 19
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Observation 09bab118-c5f1-4e6c-95b2-96bdd978ca81 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Claude’s model specification
Reference 20
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Observation 3569c20b-cb96-4742-85f1-90f3bdebf463 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Constitutional AI: Harmlessness from AI Feedback
Reference 21
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Observation dc55010d-9f52-4710-a63a-fa9f01831a7f · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Unresolved cited work
Reference 22
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Observation 1d3bb387-f0b7-41fd-b0a6-ad3feaf3f506 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Unresolved cited work
Reference 23
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Observation bb4431c2-d99b-4a90-9bae-2977f9dee30c · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Calibrating noise to sen- sitivity in private data analysis
Reference 24
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Observation 1cb14a48-8ad6-4978-aa9a-5973fc4e3753 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Now Publishers, 2014
Reference 25
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Observation 0f32d9e9-da7d-4b76-89cd-73ff82c600e3 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Pearson, Dietrich A
Reference 26
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Observation 6f7adbc8-efa8-44c3-8b0e-159813d18156 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Robust de-anonymization of large sparse datasets
Reference 27
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Observation 43b6f1b8-c027-4c5f-bb0a-e90a1f01c76c · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Williams and Steve Young
Reference 28
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Observation d5f37b76-11c4-4bfd-b51e-a5e48fc0a008 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Williams
Reference 29
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Observation e58d2af8-6805-4548-8d90-406bba2db93e · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Williams
Reference 30
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Observation 3afe6ea5-163d-4d94-9634-13949c33b33c · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Neural belief tracker: Data-driven dialogue state tracking
Reference 31
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Observation 427f6071-af47-4b86-863d-beda0c51b498 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Tod-BERT: Pre-trained natural language understanding for task-oriented dialogue
Reference 32
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Observation 7290e048-5de8-4c72-a287-20e5a69fe0cb · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework Unresolved cited work
Reference 2008
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Observation da1e53e6-5c53-4d0d-b888-f63816c8b951 · outbound
Stateful Guardrails for Multi-Turn LLM Systems: A Conversational Risk Accumulation Framework WildChat: 1M ChatGPT Interaction Logs in the Wild
Reference 2024
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No inbound Pith citation observations are available.