{"schema":"https://assignee.net/schemas/benchmark-evidence-v1","schema_version":"1.0","contract_version":"benchmark-evidence-v1.0","contract_updated":"2026-06-01","schema_documentation":"https://assignee.net/schemas","changelog_url":"https://assignee.net/changelog","publisher":{"name":"Assignee Research","url":"https://assignee.net"},"html_url":"https://assignee.net/benchmarks/evidence?model=LLaVA-1.5-7B&bench=Mme","json_url":"https://assignee.net/benchmarks/evidence.json?model=LLaVA-1.5-7B&bench=Mme","model":"LLaVA-1.5-7B","benchmark":"Mme","source_count":3,"source_coverage":{"record_count":3,"distinct_source_count":2,"coverage_level":"LIMITED","basis":"distinct public paper URLs or titles in this evidence cluster"},"source_profile":{"source_url_count":3,"missing_source_url_count":0,"domains":["arxiv.org"],"year_min":2024,"year_max":2026,"basis":"public source URLs, source titles, and reported publication years in this evidence cluster"},"reported_range":{"min_score_pct":52.6,"max_score_pct":76.0},"spread_pp":23.4,"severity":"HIGH","entries":[{"model":"LLaVA-1.5-7B","benchmark":"Mme","score_pct":76.0,"source_title":"MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?","source_url":"http://arxiv.org/abs/2408.13257v3","source_domain":"arxiv.org","year":2024},{"model":"LLaVa-1.5-7B","benchmark":"Mme","score_pct":52.63,"source_title":"Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction","source_url":"http://arxiv.org/abs/2605.09649v1","source_domain":"arxiv.org","year":2026},{"model":"LLaVA-1.5-7B","benchmark":"Mme","score_pct":52.63,"source_title":"Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction","source_url":"http://arxiv.org/abs/2605.09649v1","source_domain":"arxiv.org","year":2026}],"interpretation":"This record groups score claims extracted from papers for the same model and benchmark label. A nonzero spread means the public literature reports different values for this cluster.","limitations":["Differences are not automatically errors.","Reported values may differ because of prompts, dataset versions, evaluation protocols, scoring rules, preprocessing, fine-tuning, or reporting conventions.","Source papers remain authoritative for their own claims."]}