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However, in the domain of food systems, autonomous agents face a\n  unique and persistent challenge: the \"Systemic Information Asymmetry\" between visual appearance and intrinsic\n  nutritional composition. Existing benchmarks primarily focus on coarse-grained classification tasks, such as food\n  category recognition, which fail to evaluate the intricate reasoning chain required for real-world dietary management\n  -- specifically, the ability to traverse from identifying hidden ingredients to estimating physical mass, and finally\n  synthesizing safety-critical medical advice. In this paper, we introduce OmniFood-Bench, a comprehensive benchmark\n  constructed from the MM-Food-100K dataset. Unlike previous works, OmniFood-Bench evaluates VLMs across three\n  progressive capabi","title":"OmniFood-Bench: Evaluating VLMs for Nutrient Reasoning and Personalized Health Advice","url":"https://arxiv.org/abs/2607.08423","vendor":"arxiv_cs_ai"},"summary":"arXiv:2607.08423v2 Announce Type: replace \nAbstract: The rapid integration of Large Vision-Language Models (VLMs) into critical infrastructure promises to revolutionize\n  personalized healthcare and dietary management. However, in the domain of food systems, autonomous agents face a\n  unique and persistent challenge: the \"Systemic Information Asymmetry\" between visual appearance and intrinsic\n  nutritional composition. Existing benchmarks primarily focus on coarse-grained classification tasks, such as food\n  category recognition, which fail to evaluate the intricate reasoning chain required for real-world dietary management\n  -- specifically, the ability to traverse from identifying hidden ingredients to estimating physical mass, and finally\n  synthesizing safety-critical medical advice. In this paper, we introduce OmniFood-Bench, a comprehensive benchmark\n  constructed from the MM-Food-100K dataset. Unlike previous works, OmniFood-Bench evaluates VLMs across three\n  progressive capabi","title":"OmniFood-Bench: Evaluating VLMs for Nutrient Reasoning and Personalized Health Advice","vendor":"arxiv_cs_ai"},"confidence":{"method":"deterministic"},"decision":"POSITIVE","issued_at":"2026-07-20T04:43:09Z","notes":"Spider vendor_press (news) news.vendor_press.v1","object":{"captured_by":"crovia.spider.vendor_press","primary_source_url":"https://arxiv.org/abs/2607.08423"},"predecessors":[],"schema":"crovia.axiom.v1","signature":"ed25519:a06fb850f46286ed1c87ddf43e30c4ae9cf7889e9cef0ce72dfc7dabbaa983f5b67e3a0cb7f8d059b4865b09ed4918a6f6c54a9b8994792ebd329da00d34380a","signer":"crovia.substrate","subject":{"observed_at":"2026-07-20T04:43:09Z","source_collector":"spider:vendor_press","target_id":"https://arxiv.org/abs/2607.08423"},"tsa":{"authority":"crovia.substrate.bootstrap","rfc3161_token":"{\"kind\":\"crovia.bootstrap.tsa\",\"source_jsonl\":\"/opt/crovia/spider/data/news/vendor_press_v1.jsonl\",\"source_seal_merkle_root\":\"spider_vendor_press_v1\",\"upgrade_path\":\"Sessione H \\u2014 OpenTimestamps weekly anchor\"}"},"zk_mode":"clear","zk_proof":null},"ledger":{"leaf_hash":"6b213cfd2f1e23ab81ff0eb61b1916c8b23e433ead4ebf5a3d5fdc4f42719c52","leaf_index":333349,"ledger_path":"/opt/crovia/substrate/axiom_ledger.jsonl"},"merkle_proof":{"hash_alg":"sha256","leaf_prefix":"0x00","node_prefix":"0x01","odd_leaf_rule":"duplicate_last","path":[{"sibling":"a66999553d72c6da35b94e1b1fb457e2088beb49e9ac59d1f3cad0d82323d649","side":"left"},{"sibling":"275510288927f33d7f32d1b5ee96d3bad46963eebd6b7c7b65e224473559f9d3","side":"right"},{"sibling":"19c42903d5c2b63bfe0b4dc97ff65cac9a678d5bf728b0d1884b73ddd878973a","side":"left"},{"sibling":"e24375542eece1ee1b1f54083d81886404ef61c98aac75d202c9ca0c8bce67da","side":"right"},{"sibling":"7a7893cc8f38a5f9a49eedec199c3ec5e1a71385c85563ac0cea3cb31a258d29","side":"right"},{"sibling":"0d19791e9aa074b8130eeb2e01249774582a5873ad2fb1aeac0e5267891a9a37","side":"left"},{"sibling":"335e5d86a4ea00f87721afcb0e730f04bbef2c17cd5489f5b8263047ffc4ccd3","side":"right"},{"sibling":"5f23b1a0a67d8fa1aa690680510620f249f8d6683d46c202fca306510fbe398e","side":"right"},{"sibling":"f720760992870795e6d2b913ad9162f9e144b821ea97e4dada744d0cac06e93b","side":"right"},{"sibling":"45c0e4431502711514503abd48e8b3d34ee2f4bffa994c883aaf2adecd0ad8e9","side":"left"},{"sibling":"dedd2da92d9447ddf1b1db68fe20109a426ed18359861ed746907ac820021a8d","side":"left"},{"sibling":"a1c43cc7cd9c775fac33940ee5124aece01596733f003fc53743f43483f9f597","side":"right"},{"sibling":"b5ad3eafd7eeb74c063261356fdd9bf6059ee6d0bf1e3c70e60731b394a5536e","side":"left"},{"sibling":"93e399d152203db688c6a5a58d25131205603504f5b79123a1f2b5a5ed9c1e54","side":"right"},{"sibling":"b6e0cad7f6eb9107f0edd276f1a9942635d8cd6d60d2a97e7daac08b110dc209","side":"right"},{"sibling":"80ec062e7e625dc3f9bb5865cb5198696bbec2608e48abae5670677b90695899","side":"right"},{"sibling":"77025bcb374a7ad74f520643e20a8ae1205a7ee78507b0beb93117760f1c29d3","side":"left"},{"sibling":"0aced6f0c9dec3e6cc9e89b68b70f5f8ce7e1eb13606d92db1917b76e57393c7","side":"right"},{"sibling":"1cecb7f447febd025aac272837c80de218aecc6485d2395a509b2a1f1b9c746e","side":"left"}]},"schema":"crovia.axiom_proof.v1","seal":{"first_collector_run_id":"","first_receipt_hash":"","jsonl_path":"/opt/crovia/substrate/axiom_ledger.jsonl","key_id":"430895f101d38164","last_collector_run_id":"","last_receipt_hash":"","leaf_count":333540,"merkle_root":"ee60f62b8a724dd9bde638d638caf32cefec4440f832018b457ff47a0ec56a8c","public_key_hex":"cf742e26f75669dc673cb5c0786a1ae23ae8ca19c347317192ce40c28a7ff25c","run_id":"hourly_json_retrofit_20260720T053701Z","schema":"crovia.seal.v1","seal_family_version":"crovia-seal-family/1","seal_kind":"substrate_batch","sealed_at":"2026-07-20T05:38:36Z","sig_algorithm":"ed25519","signature":"82a3787e628bfab19c377d875220e1aaedfc498736c545f4708a1b887e8398afdf306995994493a36c864ff7139a2d436b905ce7081aaa540789aa4f707dc800","signer_version":"1.1.0"},"trust_root":{"key_id":"430895f101d38164","public_key_hex":"cf742e26f75669dc673cb5c0786a1ae23ae8ca19c347317192ce40c28a7ff25c","signature_algorithm":"ed25519","url":"/registry/canon/TRUST_ROOT.md"},"verifier":{"spec":"/registry/canon/AXIOM_RECEIPT_v1.md","url":"/v/axm_761005d98c0a9f0d5e2c3083695c3b256471058f8cf279b4fc3f31699dbc1629"}}