Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.07529.
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 2026-08-10T21:56:13.084754Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T18:44:28.884400Z
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 c6838485-6b2c-4ede-bb90-d3c423c6922f · inbound
LLM Evaluators Recognize and Favor Their Own Generations cites this paper.
LLM Evaluators Recognize and Favor Their Own Generations MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T18:44:28.886552Z
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 d9326e9f-758e-4ab4-a6ac-503726f9766b · inbound
Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches cites this paper.
Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception
Reference 267
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:13.084754Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a31af75-9e2f-4a15-b300-812764768463 · inbound
Can Multimodal Large Language Models Truly Understand Small Objects? cites this paper.
Can Multimodal Large Language Models Truly Understand Small Objects? MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception
Reference 42
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T19:01:19.426858Z
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.