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Paper Citation Record · LEDGER

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components

As of 8 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.02357.

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

pith.paper-citation-record.v1
2506.02357 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:28:22.498212Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

  • verified exact1
  • verified fuzzy4
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c731d977-eaff-4ee6-a600-57b1d766d91f · outbound

This paper cites and Vichy, L.

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components and Vichy, L

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:28:23.601617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T11:28:20.088809Z digest=sha256:ffa50549bd1294846f642f42a0ce41d7afe58d118f4721cfb1c164acba77ee29

Observation e01a18ed-85a8-4d31-90b3-c9742917d96d · outbound

This paper cites AI Governance to Avoid Extinction: The Strategic Landscape and Actionable Research Questions.

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components AI Governance to Avoid Extinction: The Strategic Landscape and Actionable Research Questions

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:28:22.875538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T11:28:20.217361Z digest=sha256:5f780c4ec4de2f52ce2b7a67be8dae9dee47c7052bcb08f1985734525959fb6f

Observation 5c6c9aba-0b6c-4ebc-aeb0-3687fcedd11e · outbound

This paper cites S., and Terry, J.

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components S., and Terry, J

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:28:23.418350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T11:28:20.369273Z digest=sha256:7593b044cfdf158f10ee10f3923ac5be7b952a50af815a81d7ad5d6f69807f19

Observation bfae4b35-f4a7-4ab0-b4be-56ad08290888 · outbound

This paper cites and Jaffer, I.

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components and Jaffer, I

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:28:23.213872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T11:28:20.485938Z digest=sha256:1be8feabb3ff1d8a44d5fb34f5c739d51f7e1558471ace56542d5d8d32ba3bb3

Observation d92a8644-8493-4c6b-99b3-ccb8f4a3cd73 · outbound

This paper cites an unresolved cited work.

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T11:28:20.578837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:28:20.578837Z digest=sha256:fa2263a7ad820e77f21345c3099b9b4a6d914e89790e4b546d5ef810937cf8da

Observation d99caefb-5ec6-40dc-bab6-a222343171bf · outbound

This paper cites FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models.

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T11:28:20.709513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:28:20.709513Z digest=sha256:3361baa3825a95a65b746a087ad9bcb78e593b4829af164a49548679379fe06d

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T11:28:20.868221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:28:20.868221Z digest=sha256:9ba5b1c1a58f72620421726712a3a1c47863937ece83178865c5ba7795125017

Observation 1150a597-0e19-4efa-955e-c9ea5c03a4b7 · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components AgentBench: Evaluating LLMs as Agents

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T11:28:20.990736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:28:20.990736Z digest=sha256:3d344bdeb080ba39f9a7e8a4202024194d7627811b52de39e6704d4b63281b00

Observation 8e0d26c6-80e1-46c1-9551-0cc53537e299 · outbound

This paper cites The Alignment Problem from a Deep Learning Perspective.

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components The Alignment Problem from a Deep Learning Perspective

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T11:28:21.158123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:28:21.158123Z digest=sha256:2af89c15c0c8a35468115a2011d834a10b81e12f96abc1f2cda61223a35a5beb

Observation 2cb1cb4b-00b5-4c05-91ac-66e1b4859e42 · outbound

This paper cites S., O'Brien, J., Cai, C.

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components S., O'Brien, J., Cai, C

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T11:28:21.294656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:28:21.294656Z digest=sha256:2af0052ab4ad5f070ac5732dcac8b490dff253e71b19dd2be83ca1129933cca9

Observation bba966d5-1688-442e-be81-61fac0c0b936 · outbound

This paper cites Open Problems in Technical AI Governance.

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components Open Problems in Technical AI Governance

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:28:21.484300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:28:21.484300Z digest=sha256:0b438500485377ccabb94f3e03468119f124a1a57c61a492528c69931e673e04

Observation 24a86f83-83d2-4712-9042-e6e893aa06df · outbound

This paper cites Model evaluation for extreme risks.

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components Model evaluation for extreme risks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T11:28:21.649808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:28:21.649808Z digest=sha256:3a4aa8caac0a90dd83205fa0d6fd8a1d322994a2bf3aff1a5729c3c39edd92f9

Observation f64e927d-60da-4507-910d-227805fa25bd · outbound

This paper cites The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions.

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T11:28:21.793229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:28:21.793229Z digest=sha256:323b0ab867983647ed76ab99990c64c9d3e037b36a070b95605ae882d7edc9a2

Observation b9384660-b1cd-4cb1-aed0-a026cb12bb6d · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:28:21.929672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:28:21.929672Z digest=sha256:b8c2a274f5e10d7227d1646e35f442f103c7ebde8371fd8a900d7933c9fd575b

Observation 54b5fbf1-be2d-46ee-8c4e-19235f995d69 · outbound

This paper cites Benchmarking Complex Instruction - Following with Multiple Constraints Composition.

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components Benchmarking Complex Instruction - Following with Multiple Constraints Composition

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:28:23.013534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T11:28:22.121414Z digest=sha256:25053a1ccefb6a2cdc7659eea182785069e37266f6c508f13bb4df458502601e

Observation 41bb9b5d-f5f4-49f8-af4f-d7e22349bff6 · outbound

This paper cites S., Shah, A., and Tellex, S.

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components S., Shah, A., and Tellex, S

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T11:28:22.287533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:28:22.287533Z digest=sha256:72cef950f79e72cc665a289832bc394f93aca1cb031ec2ba4cb19d9e838e5736

Observation 0cc63e0e-1775-43ac-bf38-d6870c090c41 · outbound

This paper cites InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents.

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T11:28:22.414764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:28:22.414764Z digest=sha256:e8bdf1dbf19aa7c820a557fd4b09632b68ba4437fb122ee76af58c53140ee1fd

Observation 6b8009c5-20f0-4790-96fa-03d4034b8ec4 · outbound

This paper cites Agent-SafetyBench: Evaluating the Safety of LLM Agents.

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components Agent-SafetyBench: Evaluating the Safety of LLM Agents

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T11:28:22.489474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:28:22.489474Z digest=sha256:25ec469c6a7eb4d5f3ae2126aa53a2a14c8e5e9209213fd3988b08dbbada09a9

Observation bc09d1d5-80d4-422a-a37a-b0276b53b150 · outbound

This paper cites write newline.

Evaluating LLM Agent Adherence to Hierarchical Safety Principles: A Lightweight Benchmark for Probing Foundational Controllability Components write newline

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T11:28:22.498212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:28:22.498212Z digest=sha256:33522734e7c4934831ab3226df0c51250c16b3dc5878c36460221fad78b504a0

Pith citing papers

No inbound Pith citation observations are available.