{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:WJ5AUA6YO2L2RU7EIH7DQWE2V7","short_pith_number":"pith:WJ5AUA6Y","canonical_record":{"source":{"id":"1711.05128","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-14T14:49:13Z","cross_cats_sorted":[],"title_canon_sha256":"63f3878f86704ffdbe14e8e0d7b487f19c0c4fa80786a76143c3467ca2a08f25","abstract_canon_sha256":"eeb82129615a47919395cd08c20ca91c711714b84b59b59f657dae318bcd4b8a"},"schema_version":"1.0"},"canonical_sha256":"b27a0a03d87697a8d3e441fe38589aaff2752f286b8e0a652a9800d5b30fb316","source":{"kind":"arxiv","id":"1711.05128","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.05128","created_at":"2026-05-18T00:30:34Z"},{"alias_kind":"arxiv_version","alias_value":"1711.05128v1","created_at":"2026-05-18T00:30:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.05128","created_at":"2026-05-18T00:30:34Z"},{"alias_kind":"pith_short_12","alias_value":"WJ5AUA6YO2L2","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"WJ5AUA6YO2L2RU7E","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"WJ5AUA6Y","created_at":"2026-05-18T12:31:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:WJ5AUA6YO2L2RU7EIH7DQWE2V7","target":"record","payload":{"canonical_record":{"source":{"id":"1711.05128","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-14T14:49:13Z","cross_cats_sorted":[],"title_canon_sha256":"63f3878f86704ffdbe14e8e0d7b487f19c0c4fa80786a76143c3467ca2a08f25","abstract_canon_sha256":"eeb82129615a47919395cd08c20ca91c711714b84b59b59f657dae318bcd4b8a"},"schema_version":"1.0"},"canonical_sha256":"b27a0a03d87697a8d3e441fe38589aaff2752f286b8e0a652a9800d5b30fb316","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:30:34.655754Z","signature_b64":"kAhSU64xiBa7CUIW+Zh8uDysZE0fcWrfHwzcVVhm7w1zx+i2GCHijKjQtz0+TVZx1Abuv297/M0mJzp9/ARtBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b27a0a03d87697a8d3e441fe38589aaff2752f286b8e0a652a9800d5b30fb316","last_reissued_at":"2026-05-18T00:30:34.655234Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:30:34.655234Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.05128","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":"2026-05-18T00:30:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FkR4wa1EG5piJDPDfIbe+atHfqprWxzacHmM+6Mi0uv+TD2sSgyQl+QUl5b7XUWgQ4Kw5H4ZGl1JHVurFZrlBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T16:35:03.206929Z"},"content_sha256":"2ca3d9bf48b0224686c5d37f800b6891ce3043782ec2332999516a4b7bda95a3","schema_version":"1.0","event_id":"sha256:2ca3d9bf48b0224686c5d37f800b6891ce3043782ec2332999516a4b7bda95a3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:WJ5AUA6YO2L2RU7EIH7DQWE2V7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Grab, Pay and Eat: Semantic Food Detection for Smart Restaurants","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Beatriz Remeseiro, Eduardo Aguilar, Marc Bola\\~nos, Petia Radeva","submitted_at":"2017-11-14T14:49:13Z","abstract_excerpt":"The increase in awareness of people towards their nutritional habits has drawn considerable attention to the field of automatic food analysis. Focusing on self-service restaurants environment, automatic food analysis is not only useful for extracting nutritional information from foods selected by customers, it is also of high interest to speed up the service solving the bottleneck produced at the cashiers in times of high demand. In this paper, we address the problem of automatic food tray analysis in canteens and restaurants environment, which consists in predicting multiple foods placed on a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.05128","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":""},"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":"2026-05-18T00:30:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aWYZd0lj4xZk7aJG3CQKSF8KXr7sFQrSp6TtJsCUP+Ob+RaM2VY2IFw/5Qtoo+zWffj21If1udNZj/KAx7DjDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T16:35:03.207533Z"},"content_sha256":"9b72052ba1c43115d36dcef0cef46e122efe33704efcaf5dfdb9d1ecb4425597","schema_version":"1.0","event_id":"sha256:9b72052ba1c43115d36dcef0cef46e122efe33704efcaf5dfdb9d1ecb4425597"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WJ5AUA6YO2L2RU7EIH7DQWE2V7/bundle.json","state_url":"https://pith.science/pith/WJ5AUA6YO2L2RU7EIH7DQWE2V7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WJ5AUA6YO2L2RU7EIH7DQWE2V7/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":"2026-06-23T16:35:03Z","links":{"resolver":"https://pith.science/pith/WJ5AUA6YO2L2RU7EIH7DQWE2V7","bundle":"https://pith.science/pith/WJ5AUA6YO2L2RU7EIH7DQWE2V7/bundle.json","state":"https://pith.science/pith/WJ5AUA6YO2L2RU7EIH7DQWE2V7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WJ5AUA6YO2L2RU7EIH7DQWE2V7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:WJ5AUA6YO2L2RU7EIH7DQWE2V7","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":"eeb82129615a47919395cd08c20ca91c711714b84b59b59f657dae318bcd4b8a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-14T14:49:13Z","title_canon_sha256":"63f3878f86704ffdbe14e8e0d7b487f19c0c4fa80786a76143c3467ca2a08f25"},"schema_version":"1.0","source":{"id":"1711.05128","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.05128","created_at":"2026-05-18T00:30:34Z"},{"alias_kind":"arxiv_version","alias_value":"1711.05128v1","created_at":"2026-05-18T00:30:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.05128","created_at":"2026-05-18T00:30:34Z"},{"alias_kind":"pith_short_12","alias_value":"WJ5AUA6YO2L2","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"WJ5AUA6YO2L2RU7E","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"WJ5AUA6Y","created_at":"2026-05-18T12:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:9b72052ba1c43115d36dcef0cef46e122efe33704efcaf5dfdb9d1ecb4425597","target":"graph","created_at":"2026-05-18T00:30:34Z","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"},"paper":{"abstract_excerpt":"The increase in awareness of people towards their nutritional habits has drawn considerable attention to the field of automatic food analysis. Focusing on self-service restaurants environment, automatic food analysis is not only useful for extracting nutritional information from foods selected by customers, it is also of high interest to speed up the service solving the bottleneck produced at the cashiers in times of high demand. In this paper, we address the problem of automatic food tray analysis in canteens and restaurants environment, which consists in predicting multiple foods placed on a","authors_text":"Beatriz Remeseiro, Eduardo Aguilar, Marc Bola\\~nos, Petia Radeva","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-14T14:49:13Z","title":"Grab, Pay and Eat: Semantic Food Detection for Smart Restaurants"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.05128","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":"sha256:2ca3d9bf48b0224686c5d37f800b6891ce3043782ec2332999516a4b7bda95a3","target":"record","created_at":"2026-05-18T00:30:34Z","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":"eeb82129615a47919395cd08c20ca91c711714b84b59b59f657dae318bcd4b8a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-14T14:49:13Z","title_canon_sha256":"63f3878f86704ffdbe14e8e0d7b487f19c0c4fa80786a76143c3467ca2a08f25"},"schema_version":"1.0","source":{"id":"1711.05128","kind":"arxiv","version":1}},"canonical_sha256":"b27a0a03d87697a8d3e441fe38589aaff2752f286b8e0a652a9800d5b30fb316","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b27a0a03d87697a8d3e441fe38589aaff2752f286b8e0a652a9800d5b30fb316","first_computed_at":"2026-05-18T00:30:34.655234Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:30:34.655234Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kAhSU64xiBa7CUIW+Zh8uDysZE0fcWrfHwzcVVhm7w1zx+i2GCHijKjQtz0+TVZx1Abuv297/M0mJzp9/ARtBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:30:34.655754Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.05128","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2ca3d9bf48b0224686c5d37f800b6891ce3043782ec2332999516a4b7bda95a3","sha256:9b72052ba1c43115d36dcef0cef46e122efe33704efcaf5dfdb9d1ecb4425597"],"state_sha256":"c6fbb5d6c524080bbe9517550e0775f64ed3e1e5394a6e210b25e5ef84f627fd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JL9TxgzSg8P/PMkQWHeI6MLKre/UlUUhaCsFvJMJJ8nkLKeJS2lXy4tI0SsgZ6hzhxd5JC2aQ6yHHRDL5yZCCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-23T16:35:03.210348Z","bundle_sha256":"1c4a3f9d496dd7bd44ee151158223b2d5f740ca0ed14783aebfb3fa260227416"}}