Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2407.17468.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:57:11.935950Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation b1001b3f-22d4-4d86-a73b-b926abfb9af1 · inbound
The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65ef6303-f4f0-4fe3-9d56-80217d083c21 · inbound
A Benchmark for the Detection of Metalinguistic Disagreements between LLMs and Knowledge Graphs WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43c26321-f412-4f09-834c-1ebfda95b8c9 · inbound
LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generations WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries
Reference 54
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4e31737d-8209-4ed1-a19f-d4a9de3f721c · inbound
To Call or Not to Call: A Framework to Assess and Optimize LLM Tool Calling WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries
Reference 54
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 54ab00bb-0a39-4326-916b-6b9dff8cb958 · inbound
Boosting Self-Consistency with Ranking WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries
Reference 267
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8c767ae0-5f56-4d5e-ad80-2b6ed78633be · inbound
Per-Entity Bias Mapping for AI Visibility: Why Brand Mentions Require Entity-Specific Calibration WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation dd427ff4-5567-4c61-b996-37b6753fb469 · inbound
U-Lens: Supporting User Uncertainty Management in Long-Form LLM Responses WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries
Reference 124
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c083813-8d68-48b0-ba74-31971ad48502 · inbound
Reliability Scales Inversely: Hallucinations Snowball Faster in Bigger Language Models WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries
Reference 49
Source-reported events for the cited work
Unavailable: canonical work link unavailable.