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Paper Citation Record · LEDGER

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

As of 19 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 31 inbound Pith citation observations for arXiv:2508.00500.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.00500 v4

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:13:24.003904Z

measured 96 of 96 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:41:23.013914Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T18:00:00.393488Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact1
  • verified fuzzy39
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 252c9629-9455-49e3-8b5e-7ee73806c2ad · outbound

This paper cites Safe reinforcement learning via shielding.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Safe reinforcement learning via shielding

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:30.717598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:17.765683Z digest=sha256:b38d744c3c9d49b30f9b33a70ec3f43ea67e07a7851f5f0150231d7474cf59f2

Observation 163c129e-7631-42e1-acfb-b2f25feefd0e · outbound

This paper cites Concrete Problems in AI Safety.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Concrete Problems in AI Safety

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:17.820219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:17.820219Z digest=sha256:ad1d1cc096c56927bf5c03a2cf8e7aadd2217d585a473a096d4b9d4085142944

Observation 5c8300aa-9498-4fa3-a4e0-e2d341bef5da · outbound

This paper cites Agentharm: A benchmark for measuring harmfulness of llm agents, 2024.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Agentharm: A benchmark for measuring harmfulness of llm agents, 2024

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:30.539326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:17.917717Z digest=sha256:f8d9bd55bd7a3b58ce8de23c4de1b871bb2ff0eeaaa87baaedee6321cda53957

Observation 8d7f8f4d-c84d-4bd6-8950-29cdd418320e · outbound

This paper cites Proguard.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Proguard

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:30.343228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:18.038039Z digest=sha256:33c4292202d621e9b770c6f48fe8d4391d7e91f2415aac9fcae2663bfedd96aa

Observation 0fb28eab-f002-4732-8895-aac87de9a944 · outbound

This paper cites Apollo open source platform 9.0, 2023.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Apollo open source platform 9.0, 2023

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:30.192014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:18.128103Z digest=sha256:7d7d7df4f78d92e0497eb0392bc30248f6fc174a81b5a627c4ef06f9548018d2

Observation f7457c0f-a15e-4eaf-ad72-da49d6ddce91 · outbound

This paper cites Principles of Model Checking.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Principles of Model Checking

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:30.052771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:18.223387Z digest=sha256:a0830b73b321f4816db8e8dba8fae24bdcd250eb404804c932cc777dbec1e9e2

Observation 6be9ff87-083f-43d5-ac21-f904052cf713 · outbound

This paper cites Introduction to Runtime Verification, volume 10457 of Lecture Notes in Computer Science , pages 1–33.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Introduction to Runtime Verification, volume 10457 of Lecture Notes in Computer Science , pages 1–33

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:29.924327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:18.326753Z digest=sha256:2423f08cdc924cc95817bc1b8cc4ead465fa094c3f976a11eea13301538a0b1f

Observation 0f121756-6e77-4b37-9012-abf3e78b72fc · outbound

This paper cites Smolka, Scott D.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Smolka, Scott D

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:29.756339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:18.401012Z digest=sha256:c0ad1342d8a05e3b4a292cd537c16f1491056b9916a8577598ed0bd5fcd79dff

Observation c09b2093-abe3-4524-b0ec-377c5d3da436 · outbound

This paper cites Probabilistic verification of fairness properties via concentration.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Probabilistic verification of fairness properties via concentration

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:29.604314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:18.498753Z digest=sha256:7dab90366c7b878a3f2c5bfd4abc175eb4135c1b92cda75e3eb3a2b90949aa5e

Observation 2afed4dc-4f49-4e5d-8203-01ac32fffaff · outbound

This paper cites Global pac bounds for learning discrete time markov chains.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Global pac bounds for learning discrete time markov chains

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:29.502712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:18.605785Z digest=sha256:47d8bb242e8f2abe9bb528c369c6900593bfaa2f5fcd7404ebfff09574dd0d76

Observation e15f6bf1-e9fd-4d69-bf16-16c92d0241af · outbound

This paper cites Lmql: A query language for large language models.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Lmql: A query language for large language models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:29.361821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:18.690977Z digest=sha256:15c0b2b74744c7a783b2194ec37ea34621f50022cf108a91a4232af2281ed088

Observation 0e3615f7-d695-4dfa-a4fa-25f5451b5876 · outbound

This paper cites Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T10:13:24.850547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:18.861209Z digest=sha256:47b8642fa3d7970cd952665ed35f0ddac90b8e5bde0879e394590300877bba1e

Observation 0ae4f172-2bd3-4cfa-818a-e6e389362cc8 · outbound

This paper cites Boyajian, Jens Clausen, Lea M.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Boyajian, Jens Clausen, Lea M

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:29.204763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:18.970210Z digest=sha256:832fe21e98a7062880177996af21cf7571fa8ce0ee2e5c1312b30b353bf1a2c6

Observation d1fbf8aa-20c9-4cf7-8a5e-fed1d859917e · outbound

This paper cites Pstmonitor: Monitor synthesis from probabilistic session types.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Pstmonitor: Monitor synthesis from probabilistic session types

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:29.029210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:19.068099Z digest=sha256:3f0e8574ff394fcfc407fa3e5ce9928a8f6d235d8ae1c34f207dec4175c5ec27

Observation f3427894-5fdc-4aae-8e81-39550b7ed1eb · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction MemGPT: Towards LLMs as Operating Systems

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:19.190286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:19.190286Z digest=sha256:a7ac4515e4ab34f82d52286eb4257791b7eb75f96bff9731ef66e70d5bbd4ae1

Observation 151ca084-2b9a-43dd-b138-2915a3372840 · outbound

This paper cites Shieldagent: Shielding agents via verifiable safety policy reasoning, 2025.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Shieldagent: Shielding agents via verifiable safety policy reasoning, 2025

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:28.901715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:19.311833Z digest=sha256:958012c7bbf8f04a4ddfaf2073ddbe12b58d00dc9f3829b351c4dab1844fcfe0

Observation 2d091f15-27ec-4bb3-84b0-35e980e8feb2 · outbound

This paper cites Agentdojo: A dynamic environment to evaluate prompt injection attacks and defenses for llm agents, 2024.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Agentdojo: A dynamic environment to evaluate prompt injection attacks and defenses for llm agents, 2024

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:28.796072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:19.421136Z digest=sha256:6b1179d3db15e921de88b1f585f4c31221eb34bc37fcd270e688839b9b799da4

Observation 4ec7a40e-f152-4002-9982-8e9b2563802f · outbound

This paper cites LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household Robotics.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household Robotics

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:19.575886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:19.575886Z digest=sha256:e0beadaedf591bcd618388c4512b0bb3ef9a887a586a3d9409cf41e943aca170

Observation 6d23959c-1bf3-448f-8f08-bc1b5348f88e · outbound

This paper cites Real estate listing gaffe exposes widespread use of ai in australian industry – and potential risks.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Real estate listing gaffe exposes widespread use of ai in australian industry – and potential risks

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:28.586543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:19.749637Z digest=sha256:c5da23d169cd25e42752dd6b06903af2eb1d2375bbc57424dd709e693fccfbe4

Observation 00d485da-b6f4-40b5-9f88-334903ef3121 · outbound

This paper cites Redcode: Risky code execution and generation benchmark for code agents, 2024.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Redcode: Risky code execution and generation benchmark for code agents, 2024

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:28.478813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:19.865296Z digest=sha256:31ba6d586d08c2eb76a15f7852223f038f9a311544cf2db25b280ed6064e90f7

Observation 0ff1f594-9bb5-4672-b47d-a3783fc94848 · outbound

This paper cites Integrating Expert Knowledge into Logical Programs via LLMs.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Integrating Expert Knowledge into Logical Programs via LLMs

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-06T10:13:24.728949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:20.034281Z digest=sha256:9cc4e8eec3cc52424bb8c1fa52bc073c1f9ed09730b32e2192a51f0c9464fd2e

Observation 221659bf-0980-496b-9656-4f1caf7c399f · outbound

This paper cites Understanding the planning of LLM agents: A survey.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Understanding the planning of LLM agents: A survey

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:20.152114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:20.152114Z digest=sha256:af0589c8ad85e1a917b928e3517017dc8a045845f1cc268f057af0ee51a41e8c

Observation 3622757c-8d4d-4c6b-b85c-f3cfd1315d71 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:20.244039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:20.244039Z digest=sha256:68599297b531b6f1edb512b8abe2425c993a044d0a90c9ad9844c673a2c1bc8f

Observation 6807cf9f-080f-4936-9023-6d44e42f49ff · outbound

This paper cites an unresolved cited work.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:13:28.363356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:20.296342Z digest=sha256:dcab6f74146cd327dc753672f596254ac271d02fc3315ab025ba2a812c2ebb27

Observation c67859f9-8ec1-46cb-8f0b-bc2b288d3787 · outbound

This paper cites Prism 4.0: Verification of probabilistic real-time systems.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Prism 4.0: Verification of probabilistic real-time systems

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:28.195866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:20.393141Z digest=sha256:453f4f011d12c8b3070b804615a9f737ab317742799ffcbd9776bdbf6f5c47c8

Observation aebacfb4-bc41-447d-b625-ebc0cf7bb2ce · outbound

This paper cites Langchain, 2025.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Langchain, 2025

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:28.074801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:20.464775Z digest=sha256:7151cc00a6e206a23273cec87ca16ab3029ad4e17f44fc78781a4702df2cc3f7

Observation c4148f85-41f7-40b0-b353-56a1e6afa5aa · outbound

This paper cites A brief account of runtime verification.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction A brief account of runtime verification

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:27.973781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:20.556399Z digest=sha256:ab28d75c9b0eaf4a5d8420fa11e5de7bdb5aeb30fb0d1b1b4c7c3e5961c7b077

Observation bd2b938f-5027-4379-a71d-54617f9c4b0b · outbound

This paper cites A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learning.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:20.718730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:20.718730Z digest=sha256:013024871b2b2462e774ad75ff02bfe99b2fd961587ebb3345e0cc1f41424a37

Observation b06d3d7b-2a1f-4c81-9583-25530d467382 · outbound

This paper cites Holistic Evaluation of Language Models.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Holistic Evaluation of Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:20.819403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:20.819403Z digest=sha256:14e27b6013287a52b0c1ed5a81ceaf3bfdbaf06f71710e280eaab4fed5bfbcbd

Observation 5effe28e-7c14-4826-bb73-aab69d02fff1 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:20.929718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:20.929718Z digest=sha256:2133b1ee3cb142c9c85fc83b99997be919ed952b3fc111d39ca0de860a05d814

Observation 1477122d-d7e0-44c3-8083-b810cf2fad63 · outbound

This paper cites Dimensionless Policies based on the Buckingham $\pi$ Theorem: Is This a Good Way to Generalize Numerical Results?.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Dimensionless Policies based on the Buckingham $\pi$ Theorem: Is This a Good Way to Generalize Numerical Results?

Reference 31

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T10:13:24.493557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:21.040266Z digest=sha256:7a43cdbfdd2a2ec08af87b360e7c98c51f4860050b1d9f94a40d207304e29405

Observation 1753f410-b88b-405d-afc8-d105c8ca95ac · outbound

This paper cites The Effects of Transmission-Rights Pricing on Multi-Stage Electricity Markets.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction The Effects of Transmission-Rights Pricing on Multi-Stage Electricity Markets

Reference 32

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T10:13:24.346334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:21.158019Z digest=sha256:201902f6a3f855888feea24600ff3f87cb6c33508357a389bb7f5890061064c8

Observation d9c32dcd-abee-461c-8d38-7be162fe3b7a · outbound

This paper cites Manning, Prabhakar Raghavan, and Hinrich Schütze.Introduction to Information Retrieval.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Manning, Prabhakar Raghavan, and Hinrich Schütze.Introduction to Information Retrieval

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:21.264013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:21.264013Z digest=sha256:8a029028e0ae8d069d5d82b2c334fe26077eba1973ce7de567acc827ddbe37ca

Observation 4a13413c-75b6-401a-a3eb-f653b86c770b · outbound

This paper cites Training language models to follow instructions with human feedback.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Training language models to follow instructions with human feedback

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:21.400477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:21.400477Z digest=sha256:7deab420a70e3626d3f7b1a6d0f30ced27c8c55507a2eb93582d2083d7c71f9c

Observation c420c702-bc18-40c3-93a6-0b16845c5a38 · outbound

This paper cites Unveiling ai agent vulnerabilities part v: Securing llm services.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Unveiling ai agent vulnerabilities part v: Securing llm services

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:27.861321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:21.498362Z digest=sha256:f0fab18d9f67b14fe460dd62f78863a61fb0d631de0ae781097eab7f55057aef

Observation 5c5cab2b-b9e1-4b82-a9cc-049a459f777f · outbound

This paper cites When ai thinks it will lose, it sometimes cheats, study finds.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction When ai thinks it will lose, it sometimes cheats, study finds

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:27.689049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:21.596550Z digest=sha256:7b3cb70ebf4007bd05c1bfe4a6dd3b67f25a93dc5675f51a480a6ed578f6147a

Observation 49cd724b-047a-4f4c-b6dc-ad4b01a90428 · outbound

This paper cites Ai agents: greater capabilities and enhanced risks.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Ai agents: greater capabilities and enhanced risks

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:27.575875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:21.676319Z digest=sha256:13a95d7984f2122f5ec46fa7b8ce8b7bdd257e076c49a2b016b2e17d8cca566f

Observation f632a70d-72e7-408a-a279-b93d23385584 · outbound

This paper cites Beyond accuracy: Behavioral testing of nlp models with checklist.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Beyond accuracy: Behavioral testing of nlp models with checklist

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:27.434815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:21.751570Z digest=sha256:02240337a22114a039dd9c480ab9f731d5e300bd8a0d2b14ea148ce3cbe9fb4c

Observation 4aeb6337-66c9-46d8-b23e-cf7b3f67f989 · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:21.847940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:21.847940Z digest=sha256:180ba181c26c9a486020dd9ac1dd10571a2c3c631668eed5922e962c5f776d92

Observation de147b00-0a5d-4ca5-834b-14499b7545de · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:21.925303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:21.925303Z digest=sha256:6e08ab00566fbb4d624d10664d9a556ad0a3f68e4f76edaaf00ca39d36c433b4

Observation 0c752fb5-30ae-41bc-a4c3-0ea4663855a5 · outbound

This paper cites Imprompter.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Imprompter

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:27.284815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:22.029745Z digest=sha256:785b7f8878a8dbcba353c8530e30cbad59045d16f99e51e698532e4cf0390c9b

Observation a153b6a1-c672-4a10-b987-0d0c4e111822 · outbound

This paper cites Stoller, Ezio Bartocci, Justin Seyster, Radu Grosu, Klaus Havelund, Scott A.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Stoller, Ezio Bartocci, Justin Seyster, Radu Grosu, Klaus Havelund, Scott A

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:27.159085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:22.114921Z digest=sha256:3bcd0647aad7c423eb712def08086880a79663f4a917dc3f61f7d16448964b66

Observation 5e9cdcc0-59b0-4226-94f6-ea738cb836bd · outbound

This paper cites Probabilistic verification of neural networks against group fairness.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Probabilistic verification of neural networks against group fairness

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:27.049968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:22.196356Z digest=sha256:54afb82fcb0f07273eb7c0a9abbe4238685c555c1180c036bed9b26fa1be86c4

Observation 57f51098-85aa-4e56-8b3f-c43b1e3fea59 · outbound

This paper cites Poskitt, Jun Sun, Yuqi Chen, and Zijiang Yang.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Poskitt, Jun Sun, Yuqi Chen, and Zijiang Yang

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:26.890120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:22.262342Z digest=sha256:2813f1886d610215c82c0db367bf8771c8cc59699420b867257fd3883e473a6a

Observation b316b2a5-ff57-4291-8e91-b5d38e2a99e3 · outbound

This paper cites Poskitt, Kun Wang, and Jun Sun.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Poskitt, Kun Wang, and Jun Sun

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:26.711529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:22.341443Z digest=sha256:4658494bacda929036436a6318dbf2bd10974bbfd951730daa8f572e5c191e7e

Observation 47b458e0-e81f-4e3b-9f55-06bcd8e83f0d · outbound

This paper cites Cyber crime is surging.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Cyber crime is surging

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:26.548411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:22.424956Z digest=sha256:59908d20fa535a784b11a4ec101e3bbe0a58c1593d26fb2112090e98ce42a888

Observation 12912042-7656-4481-8ec4-1d9130431fb6 · outbound

This paper cites Poskitt, and Jun Sun.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Poskitt, and Jun Sun

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:26.438655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:22.490831Z digest=sha256:628e67e9d3904b37d3eb5126326e7abe121385c66a21d9ea8700b8f04194e1d6

Observation 794d7edf-849d-4fbf-805a-99b3d16e3acc · outbound

This paper cites Improving proba- bility estimation through active probabilistic model learning.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Improving proba- bility estimation through active probabilistic model learning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:26.268683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:22.586534Z digest=sha256:87fd0a57a63ba893cdb0facd1413ea2b316f3819d4283c94d3745f71cfa3557b

Observation 16c3f98b-9696-4299-adda-47470e192c36 · outbound

This paper cites Automatically ’verifying’ discrete-time complex systems through learning, abstraction and refinement.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Automatically ’verifying’ discrete-time complex systems through learning, abstraction and refinement

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:26.132374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:22.667882Z digest=sha256:1811ba4fd727b1ebf89a400cfe4d34cea76df7583b8ba6923c7877e8155e55a9

Observation cc9a59f4-ad3a-402d-8f4e-5003522e930b · outbound

This paper cites Should we learn probabilistic models for model checking? a new approach and an empirical study.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Should we learn probabilistic models for model checking? a new approach and an empirical study

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:25.969591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:22.804208Z digest=sha256:84f08538cf872b0db6e2e041376829f61e62a89af7eaa56914f8a09fef5bf483

Observation 94072d3c-9329-4e59-b0da-1cc17ccea310 · outbound

This paper cites Learning probabilistic models for model checking: An evolutionary approach and an empirical study.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Learning probabilistic models for model checking: An evolutionary approach and an empirical study

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:25.819866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:22.904653Z digest=sha256:a82400c963c0251dc37dfc51ce76c5b98f5ecdda7d81e06ee1ac9c65d34ac203

Observation dca629df-d94a-44a7-9e9f-1414c03ef397 · outbound

This paper cites Poskitt, Yang Sun, Jun Sun, Jingyi Wang, Peng Cheng, and Jiming Chen.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Poskitt, Yang Sun, Jun Sun, Jingyi Wang, Peng Cheng, and Jiming Chen

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:25.680691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:22.980315Z digest=sha256:4b1c62083492d9c01a0fa4b1a9160b6c10d1ef979be91dc707ad306340689ff5

Observation e2d73746-2265-44b1-b9d4-8eafe1254026 · outbound

This paper cites A Survey on Large Language Model based Autonomous Agents.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction A Survey on Large Language Model based Autonomous Agents

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:23.035683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:23.035683Z digest=sha256:57fea9743e7add8179c52dcd63eda4c4828cfbb5d41c60711ee45973f81f2880

Observation 86125733-73c5-48b2-a89a-c21ffcf9aadf · outbound

This paper cites Llm-powered autonomous agents.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Llm-powered autonomous agents

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:25.518043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:23.094068Z digest=sha256:b82612699c09718d426f289881508c3e994719fd6c8fc3cbcb83fab1f40a7ac1

Observation 6b79df17-58b9-4c19-a39c-ecd86ed30112 · outbound

This paper cites Guardagent: Safeguard llm agents by a guard agent via knowledge-enabled reasoning, 2025.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Guardagent: Safeguard llm agents by a guard agent via knowledge-enabled reasoning, 2025

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:25.375382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:23.179782Z digest=sha256:9a2c92caa634de923d11c5c5af2b37ce775df06ffad217f17522ac53ebf47368

Observation 5a273d44-027b-4fd3-8c2d-8d7d21953e81 · outbound

This paper cites an unresolved cited work.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-06T10:13:25.215380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:23.261564Z digest=sha256:5ed5b50c95eddae472c276e207d45cb8d8a66d4d8e4b88b606e489b5d9dba1f2

Observation ee42e3b6-f6d0-47a5-9fbb-b1dc11bddbae · outbound

This paper cites Voyager: An open-ended embodied agent with large language models.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Voyager: An open-ended embodied agent with large language models

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:25.103331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:23.331353Z digest=sha256:4507f0d4b11b342721ee5f1ede3aa8e957598d54f0114cecd757764a0ca5df57

Observation da773d09-8a1d-4ca3-bb27-8cf51304dcb8 · outbound

This paper cites Beyond-Accuracy: A Review on Diversity, Serendipity and Fairness in Recommender Systems Based on Graph Neural Networks.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Beyond-Accuracy: A Review on Diversity, Serendipity and Fairness in Recommender Systems Based on Graph Neural Networks

Reference 58

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T10:13:24.222257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:23.429600Z digest=sha256:37f568c69f8382407be5c47c3958f8c2973f81bf26ad74c6cc70f2616ac4fd9c

Observation 3e1f2dfb-d6fa-4b2e-acdb-4cc9f5ccf2c5 · outbound

This paper cites React: Synergizing reasoning and acting in language models, 2023.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction React: Synergizing reasoning and acting in language models, 2023

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:23.514557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:23.514557Z digest=sha256:4d9b6c63f2b1137fec86446bebac535878f5724a159860f54f513b159cbb65ee

Observation 1738cc1a-c64a-4b72-a9fe-d1d38ab613a5 · outbound

This paper cites Survey on Evaluation of LLM-based Agents.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Survey on Evaluation of LLM-based Agents

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:23.597680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:23.597680Z digest=sha256:5d527437cb866c23b3681ab6fe466587589a34a997b00f5aebb63838f4e7b9ec

Observation d6fd1462-adb9-448b-830a-b08e8e4c4540 · outbound

This paper cites Safeagentbench: A benchmark for safe task planning of embodied llm agents, 2025.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Safeagentbench: A benchmark for safe task planning of embodied llm agents, 2025

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:23.714798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:23.714798Z digest=sha256:4b8f80f9fc6303391f772fcc3386d33777257b6d7d1f66d93ff17d19c9ec5d53

Observation 08742ff0-a36a-4506-9ea7-a53020c7a357 · outbound

This paper cites Rvllm: Llm runtime verification with domain knowledge.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Rvllm: Llm runtime verification with domain knowledge

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:23.789339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:23.789339Z digest=sha256:c3cf68a031fe5ee02e5d1862b5161b9232701f2a34a77a5e30a7562e25a24b1a

Observation 0f0eb97b-96b5-46e6-9ba4-d436b8d88aa7 · outbound

This paper cites Distributionally Robust Receive Combining.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Distributionally Robust Receive Combining

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:23.857992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:23.857992Z digest=sha256:c4b55d6892bcbde4a5da5b8dc3338bb4680e3e69227bda381643d439b746de96

Observation 8b99709f-74cf-4b4d-9e12-b0aa2f656610 · outbound

This paper cites Agentdam: Privacy leakage evaluation for autonomous web agents, 2025.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Agentdam: Privacy leakage evaluation for autonomous web agents, 2025

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:13:24.986904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T10:13:23.926813Z digest=sha256:009a961f2b5e536e67e9f0844f129138da7dd1b184f952d53bbce025da7a9208

Observation c7e21a6a-5c9e-4963-b3b2-45149780c19b · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:24.003904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:24.003904Z digest=sha256:f679728d313bf3619da0c89bfc9711df69b4e76e9b5e59703776dda045b55553

Pith citing papers

Observation e95c3f77-6b4b-4196-bbbb-7436a69e026b · inbound

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges cites this paper.

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 223

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T03:42:10.703369Z digest=sha256:e04a65b6e2e9f6d42fa5227031420735e635cb8e6d17b90d28a8c88e1ea70020

Observation c50675d6-3180-4f8f-be95-01ea3eac24ce · inbound

PowerDAG: Supervisory Agentic AI System for Automating Distribution Grid Analysis cites this paper.

PowerDAG: Supervisory Agentic AI System for Automating Distribution Grid Analysis ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T09:29:11.147253Z digest=sha256:2d3209863b3c2fbeb11bf777db1c8ecad855d48e8ff9d92e19a4f9077780cb80

Observation 6936778e-dfc4-4f76-9848-31bcb454c972 · inbound

ATLAS-RTC: Closing the Loop on LLM Agent Output with Token-Level Runtime Control cites this paper.

ATLAS-RTC: Closing the Loop on LLM Agent Output with Token-Level Runtime Control ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T21:12:35.020266Z digest=sha256:9da7748cca9bf2754425e851172c0d384d07d1610633de05fd3aa4fd8e63ffd2

Observation 4043f1bf-baac-4b6e-ab6c-58e65f405284 · inbound

ATBench: A Diverse and Realistic Agent Trajectory Benchmark for Safety Evaluation and Diagnosis cites this paper.

ATBench: A Diverse and Realistic Agent Trajectory Benchmark for Safety Evaluation and Diagnosis ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-13T21:17:15.523370Z digest=sha256:89fc787ba4e8a79adc25b867433e2dc6d7d1357dac3b1e5a097af986fd197af4

Observation 34209d3e-491f-4f7f-99f3-e98c9bfedfcd · inbound

ATBench: A Diverse and Realistic Agent Trajectory Benchmark for Safety Evaluation and Diagnosis cites this paper.

ATBench: A Diverse and Realistic Agent Trajectory Benchmark for Safety Evaluation and Diagnosis ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-14T22:02:00.638549Z digest=sha256:6c60c9434af0d8c2f3a4d1d863dcaa086e654bd355a5cee349b55d3aeaa6878b

Observation 9e85ba7c-5c87-4ff0-be93-411570119518 · inbound

Governance-Aware Agent Telemetry for Closed-Loop Enforcement in Multi-Agent AI Systems cites this paper.

Governance-Aware Agent Telemetry for Closed-Loop Enforcement in Multi-Agent AI Systems ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T19:00:39.834562Z digest=sha256:61b0ff981ac0a644f6c99ab907049040793eaac2475cacc6ced97b6e1a29affa

Observation 5e05fb08-13df-4607-8e02-51150b19a0c0 · inbound

Harnessing Embodied Agents: Runtime Governance for Policy-Constrained Execution cites this paper.

Harnessing Embodied Agents: Runtime Governance for Policy-Constrained Execution ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T18:05:01.925496Z digest=sha256:f22e6a24f3c6a60881b1e74a25bb0f3cc9cf996df7015f446bc51ca4fb26f945

Observation 02ec009d-f601-4118-8f12-7ab9f18d9044 · inbound

Harnessing Embodied Agents: Runtime Governance for Policy-Constrained Execution cites this paper.

Harnessing Embodied Agents: Runtime Governance for Policy-Constrained Execution ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T10:40:28.374841Z digest=sha256:0cc2288f077aad7c65e62913426174b998a4cc479673347dd1a4ac83e0c12322

Observation 0b998ebc-d827-4ca8-9b3a-77b86360fcf9 · inbound

Owner-Harm: A Missing Threat Model for AI Agent Safety cites this paper.

Owner-Harm: A Missing Threat Model for AI Agent Safety ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T04:39:28.683739Z digest=sha256:03dbdf44a812f7d5637d7f1f3718a480d4cdb17597aa5fd5314f1ebfa429682c

Observation 819c1422-7506-4a29-b4e5-0f233f5679b2 · inbound

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems cites this paper.

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:38485f911f7b4d72dbb05b35f4ccca5f080fac453347713d3b7ef4b7bf7f797a

Observation b611884f-8ae0-48db-981c-bd87de23980a · inbound

Measuring the Unmeasurable: Markov Chain Reliability for LLM Agents cites this paper.

Measuring the Unmeasurable: Markov Chain Reliability for LLM Agents ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T02:52:07.314962Z digest=sha256:ca58500db2a72ccdf398becb087b6248dffcd4f9716f3f1675a62648266a854f

Observation 46bff2a8-8ccb-4bd7-8772-b4def0492778 · inbound

Constraining Host-Level Abuse in Self-Hosted Computer-Use Agents via TEE-Backed Isolation cites this paper.

Constraining Host-Level Abuse in Self-Hosted Computer-Use Agents via TEE-Backed Isolation ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T09:08:30.102711Z digest=sha256:b618034f330b4b49413c50a3e65365c00f9c117f83639f80d4031b5fbc83dfd1

Observation 169d5cd8-08df-41c8-ac46-163c94f4b068 · inbound

When Routine Chats Turn Toxic: Unintended Long-Term State Poisoning in Personalized Agents cites this paper.

When Routine Chats Turn Toxic: Unintended Long-Term State Poisoning in Personalized Agents ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T00:51:06.697737Z digest=sha256:cb67fef7f8bb6d131df231f2c54a40b0457584b5f960add36f955aeaa84debeb

Observation 5d30bdb4-4d31-41fc-af51-9576a151dbb9 · inbound

TraceFix: Repairing Agent Coordination Protocols with TLA+ Counterexamples cites this paper.

TraceFix: Repairing Agent Coordination Protocols with TLA+ Counterexamples ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T03:27:03.589336Z digest=sha256:f8e42664fba19ee8de6a3c07a6ea28598a5d8a6c7247fda862a934922429f637

Observation c9650045-60b9-491e-aed3-d4af276dce1c · inbound

RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems cites this paper.

RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T05:04:08.454422Z digest=sha256:90e311ce489e3df2e321ec4a3dee41f0178117b4ea3be7e38ce54d49ea19c1ec

Observation c33cbc70-a136-410b-9efa-8d50442c5736 · inbound

Do Coding Agents Understand Least-Privilege Authorization? cites this paper.

Do Coding Agents Understand Least-Privilege Authorization? ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T16:34:14.379419Z digest=sha256:acb4aff02dceb0f3a1d9a1cb46e483be4fc7fa58c4bf7004751ca1b450e8b56f

Observation 201db2c3-a749-43c4-8690-cfda532b7a73 · inbound

From AI-Generated Content to Agentic Action: Security and Safety Threats in Generative AI cites this paper.

From AI-Generated Content to Agentic Action: Security and Safety Threats in Generative AI ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 135

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T18:08:24.901025Z digest=sha256:f6a28385b1ba6c75773bade76819532dcb4c13105188d867a7860bc40fa1e38b

Observation 100bfb07-78e8-4758-8bc6-b6ec37b4f6af · inbound

Position: A Three-Layer Probabilistic Assume-Guarantee Architecture Is Structurally Required for Safe LLM Agent Deployment cites this paper.

Position: A Three-Layer Probabilistic Assume-Guarantee Architecture Is Structurally Required for Safe LLM Agent Deployment ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T10:21:11.725387Z digest=sha256:ddc0bc2c151ab5051ef26983daeb2ca6f0084c02c9314f85434fc1c099bc16a0

Observation e33ce816-b157-4bbf-8ddb-f52260a0b1bf · inbound

The Saturation Trap and the Subjectivity of Intervention Timing: Why Affect-Based Triggers and LLM Judges Fail to Time Interventions on Autonomous Agents cites this paper.

The Saturation Trap and the Subjectivity of Intervention Timing: Why Affect-Based Triggers and LLM Judges Fail to Time Interventions on Autonomous Agents ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T09:27:48.400371Z digest=sha256:b1c5ad9fb843636142c3a1e1cdd5ddea7eb3e9b6e65c13e2ab5f84b0233068eb

Observation c9bea075-e99e-4556-a2b9-7c443ae82de4 · inbound

Bistable by Construction: Wall-Clock-Calibrated State Monitors Have No Moment-Detection Regime at Agent Cadence cites this paper.

Bistable by Construction: Wall-Clock-Calibrated State Monitors Have No Moment-Detection Regime at Agent Cadence ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-27T02:17:29.783848Z digest=sha256:3f5e477610a47b1648814e670e234e5bdcb2a94cbe8d3f2696ceae88263a3dda

Observation 8b33efac-ea2f-4e10-be7a-4b3980ef0e71 · inbound

AutoSpec: Safety Rule Evolution for LLM Agents via Inductive Logic Programming cites this paper.

AutoSpec: Safety Rule Evolution for LLM Agents via Inductive Logic Programming ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-25T23:17:58.968269Z digest=sha256:90e4101513f44c5a43f3ecf85f48f37663b3f85878e4a2d3eac48c46c4a28301

Observation 77e6b53f-d746-4ff7-8507-d27d9253890b · inbound

Auditing AI Investment Recommendations as Executable Actions cites this paper.

Auditing AI Investment Recommendations as Executable Actions ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T00:30:20.784224Z digest=sha256:f6377f6e2cf7f69ceb2620833c6997b36413a5ccec8755bfabcc690a984a132d

Observation 19907e88-41a2-4aa7-81d6-69fadc5417fc · inbound

ToolPrivacyBench: Benchmarking Purpose-Bound Privacy in Tool-Using LLM Agents cites this paper.

ToolPrivacyBench: Benchmarking Purpose-Bound Privacy in Tool-Using LLM Agents ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T03:44:48.288444Z digest=sha256:ebb35b392dfcc17e2834798f66dc33b34d7205bdcf46981e79c0428ec3bfd81b

Observation a3e21f07-68a2-430d-9965-f1262c9698a0 · inbound

Online Safety Monitoring for LLMs cites this paper.

Online Safety Monitoring for LLMs ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-08-04T02:29:49.790599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-03T12:53:49.681641Z digest=sha256:f4340176d02cd3ec4c6a3c8310aab66f2872a5018210ea69149a32534ea63c90

Observation e90b5941-7433-4ce3-a6dd-4b7b29c401fa · inbound

Why Formal Monitors Fail: Attack Distribution Entropy as a Coverage Bound for LTL-Based LLM Agent Safety cites this paper.

Why Formal Monitors Fail: Attack Distribution Entropy as a Coverage Bound for LTL-Based LLM Agent Safety ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T00:21:06.035360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:21:06.035360Z digest=sha256:55a6ecc1a841af4cec411db5eed552e011e51eae69d7eed0d258f030f46031f3

Observation 1867f1c6-7164-4a3b-ad41-b75d7b65c53e · inbound

Securing Agentic AI: From Per-Action Checks to Trajectory Assurance cites this paper.

Securing Agentic AI: From Per-Action Checks to Trajectory Assurance ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T00:12:26.587196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:12:26.587196Z digest=sha256:3a60bf273420e3f43663a6795cbe64d3865980e2d873ec7249aeff0660499451

Observation 86b6f1d3-adf0-41bf-b8ca-c18627901afa · inbound

Real-Time Detection and Repair of LLM Agent Failures cites this paper.

Real-Time Detection and Repair of LLM Agent Failures ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:59.189094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:59.189094Z digest=sha256:e1023a713ccf3b07a536a2442ff60c4b09ddaebc2c614d378166970d8be25b51

Observation 347f6691-128f-45ca-b4ba-17257377482a · inbound

$S^3$: Improving Agent Safety through Multi-Stage Defense cites this paper.

$S^3$: Improving Agent Safety through Multi-Stage Defense ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T00:14:57.549105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:14:57.549105Z digest=sha256:67c34dac1e222915b99761f6eb2b3d49b0b1a72a73aa1eaa90221c1d84bff935

Observation 6e41fa59-7f49-4db1-9d9c-900613d50be8 · inbound

Resume Means Resume: A Machine-Checked Conformance Contract for Checkpoint, Interrupt, and Resume Semantics in Workflow Persistence Layers cites this paper.

Resume Means Resume: A Machine-Checked Conformance Contract for Checkpoint, Interrupt, and Resume Semantics in Workflow Persistence Layers ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T11:29:32.060459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:29:32.060459Z digest=sha256:ac3260cf90b70bf31008e0074bc4f37b116da200f391025dd0d0d4f4ffb8398d

Observation f6011518-889c-426b-abf2-3e43b57fb64e · inbound

Resume Means Resume: A Machine-Checked Conformance Contract for Checkpoint, Interrupt, and Resume Semantics in Workflow Persistence Layers cites this paper.

Resume Means Resume: A Machine-Checked Conformance Contract for Checkpoint, Interrupt, and Resume Semantics in Workflow Persistence Layers ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T04:23:14.953275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:23:14.953275Z digest=sha256:f52a96c42f977af72550297e95594015ff1f0cee971942ceafbec5dcaef3cff2

Observation 78225a67-95f7-4f83-8067-e948d58ea7e7 · inbound

DreamGuard: Efficient Runtime Guardrail for LLM Agents via Risk-Aware World Model cites this paper.

DreamGuard: Efficient Runtime Guardrail for LLM Agents via Risk-Aware World Model ProbGuard: Proactive Runtime Monitoring for LLM Agent Safety via Probabilistic Prediction

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T14:41:23.013914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:41:23.013914Z digest=sha256:d6c3b194c217718bd1710813c1c5eafd01ec1e60873a8a0772bf2f67963e63bf