Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Pre-trained Language Models Contain Human-like Biases of What is Right and Wrong to Do
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.11790.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:00:06.106540Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T10:31:40.797118Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 64ad104d-0ac1-4bee-868b-f1776c47edf4 · inbound
Scaling Down Semantic Leakage: Investigating Associative Bias in Smaller Language Models cites this paper.
Scaling Down Semantic Leakage: Investigating Associative Bias in Smaller Language Models Large Pre-trained Language Models Contain Human-like Biases of What is Right and Wrong to Do
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:00:06.106540Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e6f7919-a044-483f-bf65-6d7a4cebb8b3 · inbound
CL-ISR: A Contrastive Learning and Implicit Stance Reasoning Framework for Misleading Text Detection on Social Media cites this paper.
CL-ISR: A Contrastive Learning and Implicit Stance Reasoning Framework for Misleading Text Detection on Social Media Large Pre-trained Language Models Contain Human-like Biases of What is Right and Wrong to Do
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:31:40.807978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.