Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2304.03279.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T15:07:30.716801Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
28
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation d6e829ee-a8f4-4e19-ac1d-65563706e160 · inbound
A Roadmap to Pluralistic Alignment cites this paper.
A Roadmap to Pluralistic Alignment Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
Reference 190
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T14:37:53.622855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7f55633a-4be4-43d8-adfc-2160525c1239 · inbound
Moral Susceptibility and Robustness under Persona Role-Play in Large Language Models cites this paper.
Moral Susceptibility and Robustness under Persona Role-Play in Large Language Models Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T23:20:27.811163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3249d592-9433-4f85-99ea-2d2ebb4485fe · inbound
Beyond Benchmark Islands: Toward Representative Trustworthiness Evaluation for Agentic AI cites this paper.
Beyond Benchmark Islands: Toward Representative Trustworthiness Evaluation for Agentic AI Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T10:21:23.244031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3b8da89d-87e0-4d07-b336-25fb556d38f0 · inbound
Restoration, Exploration and Transformation: How Youth Engage Character.AI Chatbots for Feels, Fun and Finding themselves cites this paper.
Restoration, Exploration and Transformation: How Youth Engage Character.AI Chatbots for Feels, Fun and Finding themselves Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
Reference 64
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-15T12:45:37.283306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ff9e1600-92e5-4847-8f14-6e8ccc1694b7 · inbound
Positive Alignment: Artificial Intelligence for Human Flourishing cites this paper.
Positive Alignment: Artificial Intelligence for Human Flourishing Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
Reference 148
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:59:47.953274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ce6bc9a0-d7d8-4f36-a07d-38740ddff390 · inbound
Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces cites this paper.
Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
Reference 228
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T20:17:55.545244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e8a3e7e2-a852-48ae-8c54-3e7a98dff719 · inbound
Taxonomy and Consistency Analysis of Safety Benchmarks for AI Agents cites this paper.
Taxonomy and Consistency Analysis of Safety Benchmarks for AI Agents Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T01:43:56.709741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d0da8262-22b1-4148-8e7c-96665a13f2c1 · inbound
Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety cites this paper.
Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T05:51:08.014677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8d56c348-3b2b-49cd-a2bb-bd8e7a2fa2cb · inbound
Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety cites this paper.
Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T06:06:43.199764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3420d241-80b2-4375-a7a1-d63611d127b2 · inbound
Beyond Goodhart's Law: A Dynamic Benchmark for Evaluating Compliance in Multi-Agent Systems cites this paper.
Beyond Goodhart's Law: A Dynamic Benchmark for Evaluating Compliance in Multi-Agent Systems Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T17:47:17.747048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 14430cf5-520c-4fa0-b301-bf36fb5c54a2 · inbound
Decoding Hidden Deception in Reasoning LLMs: Activation Explainers for Deception Auditing cites this paper.
Decoding Hidden Deception in Reasoning LLMs: Activation Explainers for Deception Auditing Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T20:18:56.662641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e3602deb-3912-42eb-ab3c-2899864aa92c · inbound
Engineering Trustworthy Agentic AI for Critical Systems cites this paper.
Engineering Trustworthy Agentic AI for Critical Systems Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T15:07:30.716801Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.