Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2104.08666.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:35:36.374934Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T17:13:22.948837Z
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 6da3bb10-5cf9-474c-a2e1-fa29c7072d16 · inbound
Capabilities of Gemini Models in Medicine cites this paper.
Capabilities of Gemini Models in Medicine Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models
Reference 203
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T17:13:22.952464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d9aae4ef-5b2c-44be-b845-b5e0e890fb32 · inbound
Multimodal Political Bias Identification and Neutralization cites this paper.
Multimodal Political Bias Identification and Neutralization Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:35:36.374934Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 577bf468-b4a0-4993-8083-59cf07367994 · inbound
From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models from the Lens of Social Relationship cites this paper.
From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models from the Lens of Social Relationship Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:54:44.585842Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.