Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Benchmarking Llama2, Mistral, Gemma and GPT for Factuality, Toxicity, Bias and Propensity for Hallucinations
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.09785.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T19:55:56.544665Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T17:03:40.890684Z
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 bbabf8bd-3ce8-43a6-8cc9-f882708e390f · inbound
YouthSafe: A Youth-Centric Safety Benchmark and Safeguard Model for Large Language Models cites this paper.
YouthSafe: A Youth-Centric Safety Benchmark and Safeguard Model for Large Language Models Benchmarking Llama2, Mistral, Gemma and GPT for Factuality, Toxicity, Bias and Propensity for Hallucinations
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:55:56.544665Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 542a737c-fd6d-42f2-b523-dae0c1989601 · inbound
Uncertainty Quantification for LLM-based Code Generation cites this paper.
Uncertainty Quantification for LLM-based Code Generation Benchmarking Llama2, Mistral, Gemma and GPT for Factuality, Toxicity, Bias and Propensity for Hallucinations
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T04:02:13.056403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 11a5c1e0-25ea-4c1a-8d37-3839b25b65fd · inbound
Neuro-Symbolic Verification of LLM Outputs for Data-Sensitive Domains (extended preprint) cites this paper.
Neuro-Symbolic Verification of LLM Outputs for Data-Sensitive Domains (extended preprint) Benchmarking Llama2, Mistral, Gemma and GPT for Factuality, Toxicity, Bias and Propensity for Hallucinations
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T17:03:40.892079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.