{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:J6Q25NOTY4RGOPHPOFXZIGQJNO","short_pith_number":"pith:J6Q25NOT","canonical_record":{"source":{"id":"2412.20370","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-29T06:28:07Z","cross_cats_sorted":[],"title_canon_sha256":"cd1b31e137358deca795960d6b27316a2b71b75d4dcb54764376a19c7cba63fa","abstract_canon_sha256":"65362a77d51f1811e0f8ae1b6665c2e1594f441ee2acc3f43bd16ecd3e132ab9"},"schema_version":"1.0"},"canonical_sha256":"4fa1aeb5d3c722673cef716f941a096b8fe1b4de8404bbbc400cc34e8b62d558","source":{"kind":"arxiv","id":"2412.20370","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.20370","created_at":"2026-07-05T09:54:58Z"},{"alias_kind":"arxiv_version","alias_value":"2412.20370v1","created_at":"2026-07-05T09:54:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.20370","created_at":"2026-07-05T09:54:58Z"},{"alias_kind":"pith_short_12","alias_value":"J6Q25NOTY4RG","created_at":"2026-07-05T09:54:58Z"},{"alias_kind":"pith_short_16","alias_value":"J6Q25NOTY4RGOPHP","created_at":"2026-07-05T09:54:58Z"},{"alias_kind":"pith_short_8","alias_value":"J6Q25NOT","created_at":"2026-07-05T09:54:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:J6Q25NOTY4RGOPHPOFXZIGQJNO","target":"record","payload":{"canonical_record":{"source":{"id":"2412.20370","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-29T06:28:07Z","cross_cats_sorted":[],"title_canon_sha256":"cd1b31e137358deca795960d6b27316a2b71b75d4dcb54764376a19c7cba63fa","abstract_canon_sha256":"65362a77d51f1811e0f8ae1b6665c2e1594f441ee2acc3f43bd16ecd3e132ab9"},"schema_version":"1.0"},"canonical_sha256":"4fa1aeb5d3c722673cef716f941a096b8fe1b4de8404bbbc400cc34e8b62d558","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:54:58.311089Z","signature_b64":"FLnbY9uu38aFyL2K/rskAl63E1gB4NvZIWFfaiCpHZFbPbkV2EdkbAdhRguAJf69icYbS0fzhAFXvd6r5smKAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4fa1aeb5d3c722673cef716f941a096b8fe1b4de8404bbbc400cc34e8b62d558","last_reissued_at":"2026-07-05T09:54:58.310624Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:54:58.310624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.20370","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:54:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FHvAEPQk9eYaBv/NG3Vhdt6MdTLxd7dTv2/8YqqAFLfkQa/1+NGT3aoBrZbjyQLHNzn9oSuT0pGsz0KKjG12Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T21:51:23.614294Z"},"content_sha256":"2192dd196ea22dc6bece74e4a298cc425d62e8d917281285e0439732016aa065","schema_version":"1.0","event_id":"sha256:2192dd196ea22dc6bece74e4a298cc425d62e8d917281285e0439732016aa065"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:J6Q25NOTY4RGOPHPOFXZIGQJNO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Di Wu, Jia Wu, Lujia Lv, Xiaojing Liu, Yangyi Xia, Yi He","submitted_at":"2024-12-29T06:28:07Z","abstract_excerpt":"With the continuous improvement of people's living standards and fast-paced working conditions, pre-made dishes are becoming increasingly popular among families and restaurants due to their advantages of time-saving, convenience, variety, cost-effectiveness, standard quality, etc. Object detection is a key technology for selecting ingredients and evaluating the quality of dishes in the pre-made dishes industry. To date, many object detection approaches have been proposed. However, accurate object detection of pre-made dishes is extremely difficult because of overlapping occlusion of ingredient"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.20370","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.20370/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:54:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nstgE90CYoQvsAn00hX+GANTsoEMfYpoepZ8rgF5Y7IVSbpELR3xMfKQ8q1rfPFon9CRSC9C5VQeVEfvt3xuAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T21:51:23.614681Z"},"content_sha256":"7134490fbd04d0a90e2b47fc64b1a05846d5ebdd6db9256bed78249878cfdafd","schema_version":"1.0","event_id":"sha256:7134490fbd04d0a90e2b47fc64b1a05846d5ebdd6db9256bed78249878cfdafd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J6Q25NOTY4RGOPHPOFXZIGQJNO/bundle.json","state_url":"https://pith.science/pith/J6Q25NOTY4RGOPHPOFXZIGQJNO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J6Q25NOTY4RGOPHPOFXZIGQJNO/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-04T21:51:23Z","links":{"resolver":"https://pith.science/pith/J6Q25NOTY4RGOPHPOFXZIGQJNO","bundle":"https://pith.science/pith/J6Q25NOTY4RGOPHPOFXZIGQJNO/bundle.json","state":"https://pith.science/pith/J6Q25NOTY4RGOPHPOFXZIGQJNO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J6Q25NOTY4RGOPHPOFXZIGQJNO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:J6Q25NOTY4RGOPHPOFXZIGQJNO","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"65362a77d51f1811e0f8ae1b6665c2e1594f441ee2acc3f43bd16ecd3e132ab9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-29T06:28:07Z","title_canon_sha256":"cd1b31e137358deca795960d6b27316a2b71b75d4dcb54764376a19c7cba63fa"},"schema_version":"1.0","source":{"id":"2412.20370","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.20370","created_at":"2026-07-05T09:54:58Z"},{"alias_kind":"arxiv_version","alias_value":"2412.20370v1","created_at":"2026-07-05T09:54:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.20370","created_at":"2026-07-05T09:54:58Z"},{"alias_kind":"pith_short_12","alias_value":"J6Q25NOTY4RG","created_at":"2026-07-05T09:54:58Z"},{"alias_kind":"pith_short_16","alias_value":"J6Q25NOTY4RGOPHP","created_at":"2026-07-05T09:54:58Z"},{"alias_kind":"pith_short_8","alias_value":"J6Q25NOT","created_at":"2026-07-05T09:54:58Z"}],"graph_snapshots":[{"event_id":"sha256:7134490fbd04d0a90e2b47fc64b1a05846d5ebdd6db9256bed78249878cfdafd","target":"graph","created_at":"2026-07-05T09:54:58Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2412.20370/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the continuous improvement of people's living standards and fast-paced working conditions, pre-made dishes are becoming increasingly popular among families and restaurants due to their advantages of time-saving, convenience, variety, cost-effectiveness, standard quality, etc. Object detection is a key technology for selecting ingredients and evaluating the quality of dishes in the pre-made dishes industry. To date, many object detection approaches have been proposed. However, accurate object detection of pre-made dishes is extremely difficult because of overlapping occlusion of ingredient","authors_text":"Di Wu, Jia Wu, Lujia Lv, Xiaojing Liu, Yangyi Xia, Yi He","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-29T06:28:07Z","title":"Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.20370","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:2192dd196ea22dc6bece74e4a298cc425d62e8d917281285e0439732016aa065","target":"record","created_at":"2026-07-05T09:54:58Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"65362a77d51f1811e0f8ae1b6665c2e1594f441ee2acc3f43bd16ecd3e132ab9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-29T06:28:07Z","title_canon_sha256":"cd1b31e137358deca795960d6b27316a2b71b75d4dcb54764376a19c7cba63fa"},"schema_version":"1.0","source":{"id":"2412.20370","kind":"arxiv","version":1}},"canonical_sha256":"4fa1aeb5d3c722673cef716f941a096b8fe1b4de8404bbbc400cc34e8b62d558","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4fa1aeb5d3c722673cef716f941a096b8fe1b4de8404bbbc400cc34e8b62d558","first_computed_at":"2026-07-05T09:54:58.310624Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:54:58.310624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FLnbY9uu38aFyL2K/rskAl63E1gB4NvZIWFfaiCpHZFbPbkV2EdkbAdhRguAJf69icYbS0fzhAFXvd6r5smKAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:54:58.311089Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.20370","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2192dd196ea22dc6bece74e4a298cc425d62e8d917281285e0439732016aa065","sha256:7134490fbd04d0a90e2b47fc64b1a05846d5ebdd6db9256bed78249878cfdafd"],"state_sha256":"e30d653fdf4ae2016bfe8c073896a76d77f804f5ffb8d4066dbdfa0e55e0c5ad"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WkbvIy7EsAld6Cxn+jB3vQlPRFD4Lp7rC09U6/dpD/3oyIlOBaU3wjfBuOMmiwWsG3PVEXQfB99EyinNn62SAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T21:51:23.617367Z","bundle_sha256":"233ea82df63f8824553368e774c7c485b494e161ada99b198c10d7a4844d04f2"}}