Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.16148.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:36:50.999963Z
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
1
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 48cc3d8f-c9c6-480c-b367-067dbae70196 · inbound
Multi-Agent Strategic Games with LLMs cites this paper.
Multi-Agent Strategic Games with LLMs Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:11:25.765016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9a34cb84-643c-46bb-94b1-82324075b21a · inbound
Multi-Agent Strategic Games with LLMs cites this paper.
Multi-Agent Strategic Games with LLMs Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T03:45:05.887969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f6705b27-e83e-4068-a4ac-e2578655d93c · inbound
Who Would You Vote For? Auditing Political Alignment in LLMs: An Italian Case-Study cites this paper.
Who Would You Vote For? Auditing Political Alignment in LLMs: An Italian Case-Study Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:36:50.999963Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.