Paper Citation Record · LEDGER

Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.12206.

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

pith.paper-citation-record.v1
2502.12206 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:19:52.945285Z

measured 1 of 1 external citation measurements

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 246a4cd5-1284-4c20-a107-645c893df92f · inbound

AI Awareness cites this paper.

AI Awareness Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?

Reference 272

Resolution: unresolved; no resolver link, observed 2026-08-16T10:19:52.945285Z

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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.