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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:17.765683Z digest=sha256:7c95dded01cfec7876f6399fce22c311d43bd8e1049c0823b9f47db0bb2ffbe9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:17.917717Z digest=sha256:87f22f28ebf290fec0eec05b79f7728553dc107a327fb36e89e1cdedd36921c3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:18.038039Z digest=sha256:14423f5c8c3be7d9f70fe50d63bd245223e004ff46bf7ec2494fcbee01be9016

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:18.128103Z digest=sha256:86602ab14383fa3a9205ed036d2767497e6d899deec11c4feaba59cd490a16a8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:18.223387Z digest=sha256:b8dac4cd99c1e54ad2d8e2f9b9a6a52da190b75e84d01e14e5df0df6d1aaf172

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:18.326753Z digest=sha256:4e477ed7253f27704c032da8322ae90897e510094db5dd2e686479156e53a9b5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:18.401012Z digest=sha256:ae26bc4b551a21565b834b436f6a2c1712342f891206aaa2133b17e0e94bc547

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:18.498753Z digest=sha256:7eeb917495bd34f05a7ac1d8e9a62b349969baa745a519883b4ad4653ac93c10

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:18.605785Z digest=sha256:0a960471063c04b7c59dea900b7a9f3e9d75be63d7cb56838464c4aac6c4aed7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:18.690977Z digest=sha256:60ebfb99a3eb0ea7a355c532569a857b405def07e791aabe8e36d870d6cccce2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:18.861209Z digest=sha256:c092167dc6904b6a0187efc8c3842e5243127ac5528b1e799e6ce1a7376d361b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:18.970210Z digest=sha256:09c86408873fec48b36f303412867e2d6de1a683ee68c4068b488a058068393b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:19.068099Z digest=sha256:fcfb4696adf073fc1ba7ab22a88b681eff7aa49c7732688409511923754f849f

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=sha256:4c28d743cc40022e5f45b0dd3abe0dd56621fd9704a77ea36d08f756ecf1b496

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:19.311833Z digest=sha256:902700ccd20353be08ccb00a106f4be73270effd9268a48f996b64b2446233e8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:19.421136Z digest=sha256:e9dec507e05c266e8c662dc64d2db5e28c00bfa568724dc11bb75e5ec6842907

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=sha256:90e898e0e7ca0e6ada4855dae9623042933dafd8e92cb8efb3e1afdb95d8f624

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:19.749637Z digest=sha256:75d58b094309c10f4bab0a02a68ca357ea952b13600a500e29707ac20d8d988f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:19.865296Z digest=sha256:513b444078681e80380eab39de9e067e05fba63301b60994f2b1c04d9534b25f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:20.034281Z digest=sha256:5230cb6ad6af8faefe7de68955c47bba4e16bc19ac6a3897b29421d4385ff0dd

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:20.296342Z digest=sha256:c18c46256597dd1c03d72a22faf04cb7af815d1bba1d15fc35b36a8382b763ad

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:20.393141Z digest=sha256:efef14ba565c6f932a07eb5d5fbedd30696e8012b4ac1597df3d2cc80738ffd2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:20.464775Z digest=sha256:9dcfe21497b2957c8b154d13faf16a1cf2dfba35929c0520beca12301558eadf

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:20.556399Z digest=sha256:bcd6ea279183de2de64db3c6f327b6c57b809e3986f7132aa3d3dadfc074b94a

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:da3426f818fc0daac90b0c376558b4b0296c3b61f455255fb4c7bbcbdd7fbeda

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:21.040266Z digest=sha256:515ad84b23b7c62572a5099e8e503845fcd83416b26ab14b1c4d4288a853a80f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:21.158019Z digest=sha256:9f359290f992221f59b4e874db6cdaa0f6a00c8e1bfa4998e34c60d97fdb6ca3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:21.498362Z digest=sha256:f0960658d8136024e30f52a9140a534093edcd0cdce5edf97f48b185ff589634

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:21.596550Z digest=sha256:df720f14f2cfba30886b4d0fe5ff13913f18d515057b3549152451c419a82f86

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:21.676319Z digest=sha256:ad7311ce87319a3d0dd78e0ac2f6baf6369e182f8de5429b5d5720a114dd36fb

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:21.751570Z digest=sha256:99f2377dc53253cb51412a188fbec36c0a9ff38f5f998a12f65b6d372262a455

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:bf0ae7143a012d837062e1af846b3828b0b295c87629293934a759411ad2c177

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:22.029745Z digest=sha256:1ab8d8da1081406bc09d371261bfe8e7961f51b4fb599f9634640a0abb607ebc

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:22.114921Z digest=sha256:e41d53937ae336d8210551982bc3dd26423deed791a7f68cbe2b715eb106fd95

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:22.196356Z digest=sha256:cd9973f64848ec30df111c44ed754c20a12b528dc3539b7ef16f720f23f73300

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:22.262342Z digest=sha256:e778ed79aecef7850f06072eb72d78dcb7df009785e9a88b363472287bd6a3e7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:22.341443Z digest=sha256:ca4c90da430fe619d1822eded71bbcfdf39bd586497db67ec9ef0a704bd9730c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:22.424956Z digest=sha256:8ba7688bde7047ecaed0011dd2d03135be609badd719097fc2f5eab5fe71908c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:22.490831Z digest=sha256:4424992698b71e6117bbc979ed8ef51689e508918bb6c16aa2043fe286eaae66

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:22.586534Z digest=sha256:5d15b3161888deebbad131a82b4e10b6a637ed96e87ba1e736b272dbda40fee8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:22.667882Z digest=sha256:68a7ea37852fdca670e5c1f201df1191fea9b88be1db77dd9e3de2099c33beb5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:22.804208Z digest=sha256:01f0348e3644f3f5236af47f9b0b5ba0507a20c2609ead3fed69115297f08ee0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:22.904653Z digest=sha256:6de2abcd9d40ba70021ff2a187d4c1517b65743cd42bd666736687c188ebf357

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:22.980315Z digest=sha256:b6b2d170cd448be501fc9de4985fd862fac2798da5db20764e510061ae17d990

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=sha256:4e94cc69356cace62b1cf0ba44db567f36e8ab60c172bb01219b7dab53d6abd3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:23.094068Z digest=sha256:f99e8339125053dcddb85453734b011db7582ce43784d0fdc17317ba4d146fb8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:23.179782Z digest=sha256:42d28e9696a3339b37aa6836f74c6b158fdcac7a46a9e3c1ae49a7919b1930e6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:23.261564Z digest=sha256:6bf1b69a004f0dada2ca2d6a2e116eed739feed6ed59a625bde644ae32d33ecc

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:23.331353Z digest=sha256:9fd5e66b95d93b59b254a4ca5b128134ea0755a2e35e9c7985859f58304e76bf

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:23.429600Z digest=sha256:45046de45e7bd82d98f7998aa37c056437aacaf5ef77027ebafc1e38765e7714

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=sha256:338cdfd98e4f7a99d1417d16f3dbbd398041cd4e60789818603a11be31f0345a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T10:13:23.926813Z digest=sha256:f2d277490d1ca285e93f53ba469889d1cb481b7ceffa563f9ee6793f48cca899

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T03:42:10.703369Z digest=sha256:813ad56cec525ebb37b2ba2846a2fab7695f66944dc13e083262a2de199735fa

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T09:29:11.147253Z digest=sha256:9a967a32bd5601314e4510eef1bd72d0ca4dc3bf69bf581bc099578f9d1dc12e

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-14T21:12:35.020266Z digest=sha256:21b6b4316243df74f2fea1eeb63a0b693eba29d0f0e5584ed351143185511cc0

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-13T21:17:15.523370Z digest=sha256:6e5eac5f52ec0556174217c26050a6bc041bd1cb8f70126c6578c3b06e3ab141

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-14T22:02:00.638549Z digest=sha256:700c7969b56ef43232288a827ba8e585ebba3b40192767143d083bbc1a9764e0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T19:00:39.834562Z digest=sha256:da4d665dd0a995ec69e9c7d8eeb967b545a0a8596910a85b84bff64acdb73ca5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T18:05:01.925496Z digest=sha256:92365ecba4b5dbfb8d0318e6a56ff22cf2320b9b10b1ffe9ac6adcf9751b74e4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-22T10:40:28.374841Z digest=sha256:f4dbe6fac77b94ce284c612ffc234fa8c2b826239af0c502de04ac2b66372d72

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T04:39:28.683739Z digest=sha256:d18ebb4a2f39a8a62ca8ef7f26fbdb3a51287833d1c0bb117b5ffd70e338ef85

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T11:50:57.149878Z digest=sha256:3fa612699858dd17de1cf2bf9b1fb54791be3f0ff252be8fca575dfc961edc71

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T02:52:07.314962Z digest=sha256:ea45f04a49a370598b705ef7c67a06301ae8f363ac7a9ce7aa43dc9a0c10b566

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T09:08:30.102711Z digest=sha256:233f39830ff7ad33e6d8580ffb55266a3d4cd007e78bc5bd29096aeb74c423f2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-11T00:51:06.697737Z digest=sha256:18baf0cc2b9719cd77e2bc4136ad55e80f5c6f759194b71ff9890a582e5b922c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-11T03:27:03.589336Z digest=sha256:e4877aeb7ce49ca69134257318e86923487088ba084ecfc1c4a0b6361b089114

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T05:04:08.454422Z digest=sha256:6711367f950ed8ba7cf3d89881577d76141e63b7a30bafa2175fdf1ce76d8d32

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T16:34:14.379419Z digest=sha256:43a43fc28d5e4d8ff7ed575671bed9d55c585cd1551e29f28b2ce5379ed55a27

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T18:08:24.901025Z digest=sha256:d7b5d6d46146bd80db110c04c32b19baffcdc1170b705bd90f5098f3b770d859

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T10:21:11.725387Z digest=sha256:a1b4011d253ace8b3682d059f5447bd57fe5cc30e632f4bff7f4d16aa619c499

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T09:27:48.400371Z digest=sha256:0c47ba21da3e537770efcc9a2cd93f743557f19bc94e0ab7d48ad9a6ea98a59f

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T02:17:29.783848Z digest=sha256:1d29c24849ec4d1601768fd9fd52265fca6831172cbffaf9e19d449644539315

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-25T23:17:58.968269Z digest=sha256:dcbe1b1f9e91637c9e93534b443451f42e904b45c40362cd1d2ee4f16ccc6a4c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T00:30:20.784224Z digest=sha256:e3bd8e8aa9c9d24f940d18641c20962a271026e9bf9d7adec2b65c2fbc4bb329

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T03:44:48.288444Z digest=sha256:34e658bc2323969299e5ae056325d89a2bf519846fa33b6634d2d8ebd44eb8c6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-03T12:53:49.681641Z digest=sha256:4d5a3b79e07bef09e82ee51cff263f89a052f9ff2b6df75cfadd26f45c57b2c3

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:ebf0a24ed56ab966800c9696d0ac38b08ce4114b0d25c7d50069de42117ba3bd

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:e1b1380257230267d865aee1cf0f90735932c9c710173b95a52a27444351c096