Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.12206.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T17:44:03.818105Z
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
0
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 5b576018-d81a-4c12-9c91-48dff8985ffe · inbound
UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs cites this paper.
UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T17:44:03.818105Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09017147-758a-4c4a-acbd-d4f5dc831329 · inbound
Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction cites this paper.
Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T19:11:58.060521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 40edb399-1f95-4346-86e6-090ebf81128c · inbound
Mitigating Deceptive Alignment via Self-Monitoring cites this paper.
Mitigating Deceptive Alignment via Self-Monitoring Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:30:05.120166Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14bb4ec9-c8c8-4b13-ac24-ac525402b492 · inbound
Instrumental Choices: Measuring the Propensity of LLM Agents to Pursue Instrumental Behaviors cites this paper.
Instrumental Choices: Measuring the Propensity of LLM Agents to Pursue Instrumental Behaviors Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:16:10.889714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 981ccf1d-f1ea-4847-9559-12fe93ac6334 · inbound
Understanding Large Language Models cites this paper.
Understanding Large Language Models Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?
Reference 10
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T12:56:56.425129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.