{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:PNEXYCNDCMRQC3YVQUFFHFHTTC","short_pith_number":"pith:PNEXYCND","canonical_record":{"source":{"id":"1808.09829","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2018-08-29T13:51:00Z","cross_cats_sorted":[],"title_canon_sha256":"86586f63184fcca6e25572aa536e97d206a03159025eca75038537bbe7608866","abstract_canon_sha256":"780d5cefd90a0bc386464b7e6c325e5360fbb5aaa6af96364eac426ae5e89313"},"schema_version":"1.0"},"canonical_sha256":"7b497c09a31323016f15850a5394f39889cc739be8dc37e439d88135a5df1aa6","source":{"kind":"arxiv","id":"1808.09829","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.09829","created_at":"2026-05-18T00:06:54Z"},{"alias_kind":"arxiv_version","alias_value":"1808.09829v1","created_at":"2026-05-18T00:06:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.09829","created_at":"2026-05-18T00:06:54Z"},{"alias_kind":"pith_short_12","alias_value":"PNEXYCNDCMRQ","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"PNEXYCNDCMRQC3YV","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"PNEXYCND","created_at":"2026-05-18T12:32:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:PNEXYCNDCMRQC3YVQUFFHFHTTC","target":"record","payload":{"canonical_record":{"source":{"id":"1808.09829","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2018-08-29T13:51:00Z","cross_cats_sorted":[],"title_canon_sha256":"86586f63184fcca6e25572aa536e97d206a03159025eca75038537bbe7608866","abstract_canon_sha256":"780d5cefd90a0bc386464b7e6c325e5360fbb5aaa6af96364eac426ae5e89313"},"schema_version":"1.0"},"canonical_sha256":"7b497c09a31323016f15850a5394f39889cc739be8dc37e439d88135a5df1aa6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:54.341158Z","signature_b64":"IF3slgmDv0FWeqhqEZjaY62hrluHOs9a26stG6SrYhiH90/IZfQ24I58juUCIF30qCAFsjepGYQHAfoClKkhDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7b497c09a31323016f15850a5394f39889cc739be8dc37e439d88135a5df1aa6","last_reissued_at":"2026-05-18T00:06:54.340636Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:54.340636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1808.09829","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":"2026-05-18T00:06:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/zOmeejvhpJ0QATMtMbpkHUsJNGi2XrnQzTvS0R0ipC3cx5TjCKoNhrb1ByZ9qJdWMW4g2l51g2AjT1hc57GBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T06:22:13.243683Z"},"content_sha256":"e2bc4442104d0aa0c11ce9205d6a3e656e89b81073c844d45f96c7f5d96c892d","schema_version":"1.0","event_id":"sha256:e2bc4442104d0aa0c11ce9205d6a3e656e89b81073c844d45f96c7f5d96c892d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:PNEXYCNDCMRQC3YVQUFFHFHTTC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Domenec Puig, Estefania Talavera, Hatem A. Rashwan, Md. Mostafa Kamal Sarker, Petia Radeva, Syeda Furruka Banu","submitted_at":"2018-08-29T13:51:00Z","abstract_excerpt":"First-person (wearable) camera continually captures unscripted interactions of the camera user with objects, people, and scenes reflecting his personal and relational tendencies. One of the preferences of people is their interaction with food events. The regulation of food intake and its duration has a great importance to protect against diseases. Consequently, this work aims to develop a smart model that is able to determine the recurrences of a person on food places during a day. This model is based on a deep end-to-end model for automatic food places recognition by analyzing egocentric phot"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.09829","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":"2026-05-18T00:06:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IHEQwX5oC8NZ3Za5dl5b6/X89xfNMBfOnk6u6ZqEnQJDx3WTEhLCDHGnHw1bcGkWanz0n8vHs7bVJHRefxLYDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T06:22:13.244450Z"},"content_sha256":"840f6afa8de7ea4b1b39aac072ce8103a5024450ac92270898cee576180b6418","schema_version":"1.0","event_id":"sha256:840f6afa8de7ea4b1b39aac072ce8103a5024450ac92270898cee576180b6418"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PNEXYCNDCMRQC3YVQUFFHFHTTC/bundle.json","state_url":"https://pith.science/pith/PNEXYCNDCMRQC3YVQUFFHFHTTC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PNEXYCNDCMRQC3YVQUFFHFHTTC/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":"2026-05-30T06:22:13Z","links":{"resolver":"https://pith.science/pith/PNEXYCNDCMRQC3YVQUFFHFHTTC","bundle":"https://pith.science/pith/PNEXYCNDCMRQC3YVQUFFHFHTTC/bundle.json","state":"https://pith.science/pith/PNEXYCNDCMRQC3YVQUFFHFHTTC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PNEXYCNDCMRQC3YVQUFFHFHTTC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:PNEXYCNDCMRQC3YVQUFFHFHTTC","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":"780d5cefd90a0bc386464b7e6c325e5360fbb5aaa6af96364eac426ae5e89313","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2018-08-29T13:51:00Z","title_canon_sha256":"86586f63184fcca6e25572aa536e97d206a03159025eca75038537bbe7608866"},"schema_version":"1.0","source":{"id":"1808.09829","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.09829","created_at":"2026-05-18T00:06:54Z"},{"alias_kind":"arxiv_version","alias_value":"1808.09829v1","created_at":"2026-05-18T00:06:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.09829","created_at":"2026-05-18T00:06:54Z"},{"alias_kind":"pith_short_12","alias_value":"PNEXYCNDCMRQ","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"PNEXYCNDCMRQC3YV","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"PNEXYCND","created_at":"2026-05-18T12:32:46Z"}],"graph_snapshots":[{"event_id":"sha256:840f6afa8de7ea4b1b39aac072ce8103a5024450ac92270898cee576180b6418","target":"graph","created_at":"2026-05-18T00:06:54Z","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":"First-person (wearable) camera continually captures unscripted interactions of the camera user with objects, people, and scenes reflecting his personal and relational tendencies. One of the preferences of people is their interaction with food events. The regulation of food intake and its duration has a great importance to protect against diseases. Consequently, this work aims to develop a smart model that is able to determine the recurrences of a person on food places during a day. This model is based on a deep end-to-end model for automatic food places recognition by analyzing egocentric phot","authors_text":"Domenec Puig, Estefania Talavera, Hatem A. Rashwan, Md. Mostafa Kamal Sarker, Petia Radeva, Syeda Furruka Banu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2018-08-29T13:51:00Z","title":"MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.09829","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:e2bc4442104d0aa0c11ce9205d6a3e656e89b81073c844d45f96c7f5d96c892d","target":"record","created_at":"2026-05-18T00:06:54Z","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":"780d5cefd90a0bc386464b7e6c325e5360fbb5aaa6af96364eac426ae5e89313","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2018-08-29T13:51:00Z","title_canon_sha256":"86586f63184fcca6e25572aa536e97d206a03159025eca75038537bbe7608866"},"schema_version":"1.0","source":{"id":"1808.09829","kind":"arxiv","version":1}},"canonical_sha256":"7b497c09a31323016f15850a5394f39889cc739be8dc37e439d88135a5df1aa6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7b497c09a31323016f15850a5394f39889cc739be8dc37e439d88135a5df1aa6","first_computed_at":"2026-05-18T00:06:54.340636Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:06:54.340636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IF3slgmDv0FWeqhqEZjaY62hrluHOs9a26stG6SrYhiH90/IZfQ24I58juUCIF30qCAFsjepGYQHAfoClKkhDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:06:54.341158Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.09829","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e2bc4442104d0aa0c11ce9205d6a3e656e89b81073c844d45f96c7f5d96c892d","sha256:840f6afa8de7ea4b1b39aac072ce8103a5024450ac92270898cee576180b6418"],"state_sha256":"166269b020ad9f69efda23abf0d77be77e621de10e8b3d8f68a2fab0a2e1c683"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Lg1xsk1raFubNKQeMVae30kgR0z0Wt2Dv12+fZYh4Nde1q6O9iL4eiylZoUN7g1Sl84L8dE07j4zIlp0FjM7BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T06:22:13.248164Z","bundle_sha256":"64082eed26c7fc70ab9a09d1c1c37503d0b736900e19a38bfe8a9c11e6b3525b"}}