Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Social Bias in Large Language Models For Bangla: An Empirical Study on Gender and Religious Bias
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.03536.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:54:28.559687Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T17:38:15.613481Z
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 8a077a84-acc4-487c-90a9-1cf8170fe87b · inbound
Mitigating Extrinsic Gender Bias for Bangla Classification Tasks cites this paper.
Mitigating Extrinsic Gender Bias for Bangla Classification Tasks Social Bias in Large Language Models For Bangla: An Empirical Study on Gender and Religious Bias
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T17:38:15.617182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation de492ba3-03eb-4abe-8d36-2d2bb8011c90 · inbound
Mind the Language Gap: Automated and Augmented Evaluation of Bias in LLMs for High- and Low-Resource Languages cites this paper.
Mind the Language Gap: Automated and Augmented Evaluation of Bias in LLMs for High- and Low-Resource Languages Social Bias in Large Language Models For Bangla: An Empirical Study on Gender and Religious Bias
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:54:28.559687Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47c0a660-fbff-4636-aae2-9b6e70debb2a · inbound
How do datasets, developers, and models affect biases in a low-resourced language?: The Case of the Bengali Language cites this paper.
How do datasets, developers, and models affect biases in a low-resourced language?: The Case of the Bengali Language Social Bias in Large Language Models For Bangla: An Empirical Study on Gender and Religious Bias
Reference 112
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T10:52:15.216045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0c0d3a61-8d9f-4ce4-b7eb-99505a774432 · inbound
Demographic Prompting at Scale: When More Attributes Hurt LLM--Human Agreement cites this paper.
Demographic Prompting at Scale: When More Attributes Hurt LLM--Human Agreement Social Bias in Large Language Models For Bangla: An Empirical Study on Gender and Religious Bias
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T10:37:22.521896Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.