{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:O2WJ7ZC5MEY42RZTSKHHEA4PQN","short_pith_number":"pith:O2WJ7ZC5","schema_version":"1.0","canonical_sha256":"76ac9fe45d6131cd4733928e72038f8379bed522304c5c59453a5072190f9899","source":{"kind":"arxiv","id":"1903.07437","version":3},"attestation_state":"computed","paper":{"title":"MUSEFood: Multi-sensor-based Food Volume Estimation on Smartphones","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Junyi Gao, Liantao Ma, Weihao Tan, Wen Tang, Yasha Wang","submitted_at":"2019-03-18T13:40:23Z","abstract_excerpt":"Researches have shown that diet recording can help people increase awareness of food intake and improve nutrition management, and thereby maintain a healthier life. Recently, researchers have been working on smartphone-based diet recording methods and applications that help users accomplish two tasks: record what they eat and how much they eat. Although the former task has made great progress through adopting image recognition technology, it is still a challenge to estimate the volume of foods accurately and conveniently. In this paper, we propose a novel method, named MUSEFood, for food volum"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1903.07437","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-18T13:40:23Z","cross_cats_sorted":[],"title_canon_sha256":"6e1cd6bc9ad16dbb5729b5fa91b78c0cbfbb2dea23886b00e9b18ee51f9d50a2","abstract_canon_sha256":"4662849661c315b0ca607ae613d39426fd560e3dfe953ee4494bdd71c2d26a2b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:49.729963Z","signature_b64":"9mN5by/IKfu2ZalVQnCQmCw6/XHyJ/kjthCihr33/KxQWkV9XELF1tGE4kykfh5LdCNo3vO1InqBe+wGlJe5Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"76ac9fe45d6131cd4733928e72038f8379bed522304c5c59453a5072190f9899","last_reissued_at":"2026-05-17T23:43:49.729304Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:49.729304Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MUSEFood: Multi-sensor-based Food Volume Estimation on Smartphones","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Junyi Gao, Liantao Ma, Weihao Tan, Wen Tang, Yasha Wang","submitted_at":"2019-03-18T13:40:23Z","abstract_excerpt":"Researches have shown that diet recording can help people increase awareness of food intake and improve nutrition management, and thereby maintain a healthier life. Recently, researchers have been working on smartphone-based diet recording methods and applications that help users accomplish two tasks: record what they eat and how much they eat. Although the former task has made great progress through adopting image recognition technology, it is still a challenge to estimate the volume of foods accurately and conveniently. In this paper, we propose a novel method, named MUSEFood, for food volum"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.07437","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1903.07437","created_at":"2026-05-17T23:43:49.729448+00:00"},{"alias_kind":"arxiv_version","alias_value":"1903.07437v3","created_at":"2026-05-17T23:43:49.729448+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.07437","created_at":"2026-05-17T23:43:49.729448+00:00"},{"alias_kind":"pith_short_12","alias_value":"O2WJ7ZC5MEY4","created_at":"2026-05-18T12:33:24.271573+00:00"},{"alias_kind":"pith_short_16","alias_value":"O2WJ7ZC5MEY42RZT","created_at":"2026-05-18T12:33:24.271573+00:00"},{"alias_kind":"pith_short_8","alias_value":"O2WJ7ZC5","created_at":"2026-05-18T12:33:24.271573+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/O2WJ7ZC5MEY42RZTSKHHEA4PQN","json":"https://pith.science/pith/O2WJ7ZC5MEY42RZTSKHHEA4PQN.json","graph_json":"https://pith.science/api/pith-number/O2WJ7ZC5MEY42RZTSKHHEA4PQN/graph.json","events_json":"https://pith.science/api/pith-number/O2WJ7ZC5MEY42RZTSKHHEA4PQN/events.json","paper":"https://pith.science/paper/O2WJ7ZC5"},"agent_actions":{"view_html":"https://pith.science/pith/O2WJ7ZC5MEY42RZTSKHHEA4PQN","download_json":"https://pith.science/pith/O2WJ7ZC5MEY42RZTSKHHEA4PQN.json","view_paper":"https://pith.science/paper/O2WJ7ZC5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1903.07437&json=true","fetch_graph":"https://pith.science/api/pith-number/O2WJ7ZC5MEY42RZTSKHHEA4PQN/graph.json","fetch_events":"https://pith.science/api/pith-number/O2WJ7ZC5MEY42RZTSKHHEA4PQN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/O2WJ7ZC5MEY42RZTSKHHEA4PQN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/O2WJ7ZC5MEY42RZTSKHHEA4PQN/action/storage_attestation","attest_author":"https://pith.science/pith/O2WJ7ZC5MEY42RZTSKHHEA4PQN/action/author_attestation","sign_citation":"https://pith.science/pith/O2WJ7ZC5MEY42RZTSKHHEA4PQN/action/citation_signature","submit_replication":"https://pith.science/pith/O2WJ7ZC5MEY42RZTSKHHEA4PQN/action/replication_record"}},"created_at":"2026-05-17T23:43:49.729448+00:00","updated_at":"2026-05-17T23:43:49.729448+00:00"}