Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:18:43.005002Z
Paper Citation Record · LEDGER
Thinking with Many Minds: Using Large Language Models for Multi-Perspective Problem-Solving
As of 16 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2501.02348.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
7 of 7 outbound references displayed
- verified exact2
- verified fuzzy2
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6f8b181d-846c-4978-b490-bdae642a16cb · outbound
This paper cites LLM Social Simulations Are a Promising Research Method.
Thinking with Many Minds: Using Large Language Models for Multi-Perspective Problem-Solving LLM Social Simulations Are a Promising Research Method
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:18:42.824854Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0d41a41-1228-4503-96bf-a737c8599c6f · outbound
This paper cites Figure A2 describes the relationship between the integration parameter (𝛼) and the number of solutions discovered.
Thinking with Many Minds: Using Large Language Models for Multi-Perspective Problem-Solving Figure A2 describes the relationship between the integration parameter (𝛼) and the number of solutions discovered
Reference 7
- Resolution
- verified exact
- raw_fallback, observed 2026-08-10T22:18:43.211907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d05a1e1e-e208-4fda-bb61-2daf6296b57d · outbound
This paper cites The code to reproduce the key results is available online.
Thinking with Many Minds: Using Large Language Models for Multi-Perspective Problem-Solving The code to reproduce the key results is available online
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:18:43.394594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c5a0e580-b99f-4973-867a-5f578e7a6387 · outbound
This paper cites an unresolved cited work.
Thinking with Many Minds: Using Large Language Models for Multi-Perspective Problem-Solving Unresolved cited work
Reference 1049
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T22:18:43.475174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 381b09fe-0743-465e-a187-5404ddf4ee2f · outbound
This paper cites Can LLMs Reliably Simulate Human Learner Actions? A Simulation Authoring Framework for Open-Ended Learning Environments.
Thinking with Many Minds: Using Large Language Models for Multi-Perspective Problem-Solving Can LLMs Reliably Simulate Human Learner Actions? A Simulation Authoring Framework for Open-Ended Learning Environments
Reference 1194
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T22:18:43.312360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6d9dae8e-8bea-4cc7-aa43-6934db40d607 · outbound
This paper cites D., & Moskowitz, G.
Thinking with Many Minds: Using Large Language Models for Multi-Perspective Problem-Solving D., & Moskowitz, G
Reference 1377
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T22:18:43.558001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3d530562-4660-400a-a9d2-23beb8a65ec6 · outbound
This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.
Thinking with Many Minds: Using Large Language Models for Multi-Perspective Problem-Solving Improving Factuality and Reasoning in Language Models through Multiagent Debate
Reference 1607
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:18:42.885330Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.