Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.20616.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:46:01.340983Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T15:49:57.433945Z
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 cea0ddfc-24f6-4de2-b2ae-41327a4f6009 · inbound
MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models cites this paper.
MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:46:01.340983Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26db6e55-09eb-4948-9c2b-39a0bf1aff20 · inbound
PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments cites this paper.
PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T09:59:59.058321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e522bebc-af6d-4fc0-aa3b-eab2a8b5d53b · inbound
ProfileFoundry: A Synthetic Person-Object Substrate for Privacy, Memory, and Tool-Use Evaluation in LLM Agent cites this paper.
ProfileFoundry: A Synthetic Person-Object Substrate for Privacy, Memory, and Tool-Use Evaluation in LLM Agent PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T15:49:57.436326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.