{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:IZD3NMALIXGTZLTF2NSI2BBFOX","short_pith_number":"pith:IZD3NMAL","canonical_record":{"source":{"id":"2102.00645","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-01T05:36:20Z","cross_cats_sorted":[],"title_canon_sha256":"edf75ff36bdee703b73f79c0768d76691c1f3f4ba5f1a06fc2dbabacc84fc04d","abstract_canon_sha256":"203f70320056bdf505bc515ab96a7ed06e826f3e07a8a7f10b0ce7b021ef7df3"},"schema_version":"1.0"},"canonical_sha256":"4647b6b00b45cd3cae65d3648d042575c784c0cc1f2c0646a1edc53d4c6fa4b5","source":{"kind":"arxiv","id":"2102.00645","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.00645","created_at":"2026-07-05T02:11:14Z"},{"alias_kind":"arxiv_version","alias_value":"2102.00645v1","created_at":"2026-07-05T02:11:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.00645","created_at":"2026-07-05T02:11:14Z"},{"alias_kind":"pith_short_12","alias_value":"IZD3NMALIXGT","created_at":"2026-07-05T02:11:14Z"},{"alias_kind":"pith_short_16","alias_value":"IZD3NMALIXGTZLTF","created_at":"2026-07-05T02:11:14Z"},{"alias_kind":"pith_short_8","alias_value":"IZD3NMAL","created_at":"2026-07-05T02:11:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:IZD3NMALIXGTZLTF2NSI2BBFOX","target":"record","payload":{"canonical_record":{"source":{"id":"2102.00645","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-01T05:36:20Z","cross_cats_sorted":[],"title_canon_sha256":"edf75ff36bdee703b73f79c0768d76691c1f3f4ba5f1a06fc2dbabacc84fc04d","abstract_canon_sha256":"203f70320056bdf505bc515ab96a7ed06e826f3e07a8a7f10b0ce7b021ef7df3"},"schema_version":"1.0"},"canonical_sha256":"4647b6b00b45cd3cae65d3648d042575c784c0cc1f2c0646a1edc53d4c6fa4b5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:11:14.010590Z","signature_b64":"zNM7rts2XXfT9JVaRbHeyaezLcqjN0SG6W5NN4OONfsH3p4Z8HgRT75pOo4lQL48Aa1RzveITmglzJhG/yq6CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4647b6b00b45cd3cae65d3648d042575c784c0cc1f2c0646a1edc53d4c6fa4b5","last_reissued_at":"2026-07-05T02:11:14.010229Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:11:14.010229Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2102.00645","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":"2026-07-05T02:11:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qh9Nc5s2yiENgavdlxkGgJe0Ndlpcvt5Ep651Dx3ztvKhIzKUrsIeDwzrGoJAW8YIicwPXMtYFoVU8Szo9zMAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T14:30:47.924725Z"},"content_sha256":"fb4bc9aca49543521367ead28f3ea8e42bf1c38fbdbc54790d9efe539f509ecb","schema_version":"1.0","event_id":"sha256:fb4bc9aca49543521367ead28f3ea8e42bf1c38fbdbc54790d9efe539f509ecb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:IZD3NMALIXGTZLTF2NSI2BBFOX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An End-to-End Food Image Analysis System","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Carol J. Boushey, Deborah A. Kerr, Fengqing Zhu, Janine L. Wright, Jiangpeng He, Runyu Mao, Zeman Shao","submitted_at":"2021-02-01T05:36:20Z","abstract_excerpt":"Modern deep learning techniques have enabled advances in image-based dietary assessment such as food recognition and food portion size estimation. Valuable information on the types of foods and the amount consumed are crucial for prevention of many chronic diseases. However, existing methods for automated image-based food analysis are neither end-to-end nor are capable of processing multiple tasks (e.g., recognition and portion estimation) together, making it difficult to apply to real life applications. In this paper, we propose an image-based food analysis framework that integrates food loca"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.00645","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/2102.00645/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":"2026-07-05T02:11:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NMlqGI6PrH9SmUc6LI97VgF40OF48+RV5ry77/XnbkaIQiMXOfna9rFw5oG+VdqORUOzJsH1R36htM6dobaQCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T14:30:47.925677Z"},"content_sha256":"9566d606b5ac2ba9cc06b3db0666b3c3ea72e0a7c77d2fa6ed6babaf195a08c3","schema_version":"1.0","event_id":"sha256:9566d606b5ac2ba9cc06b3db0666b3c3ea72e0a7c77d2fa6ed6babaf195a08c3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IZD3NMALIXGTZLTF2NSI2BBFOX/bundle.json","state_url":"https://pith.science/pith/IZD3NMALIXGTZLTF2NSI2BBFOX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IZD3NMALIXGTZLTF2NSI2BBFOX/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":"2026-08-03T14:30:47Z","links":{"resolver":"https://pith.science/pith/IZD3NMALIXGTZLTF2NSI2BBFOX","bundle":"https://pith.science/pith/IZD3NMALIXGTZLTF2NSI2BBFOX/bundle.json","state":"https://pith.science/pith/IZD3NMALIXGTZLTF2NSI2BBFOX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IZD3NMALIXGTZLTF2NSI2BBFOX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:IZD3NMALIXGTZLTF2NSI2BBFOX","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":"203f70320056bdf505bc515ab96a7ed06e826f3e07a8a7f10b0ce7b021ef7df3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-01T05:36:20Z","title_canon_sha256":"edf75ff36bdee703b73f79c0768d76691c1f3f4ba5f1a06fc2dbabacc84fc04d"},"schema_version":"1.0","source":{"id":"2102.00645","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.00645","created_at":"2026-07-05T02:11:14Z"},{"alias_kind":"arxiv_version","alias_value":"2102.00645v1","created_at":"2026-07-05T02:11:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.00645","created_at":"2026-07-05T02:11:14Z"},{"alias_kind":"pith_short_12","alias_value":"IZD3NMALIXGT","created_at":"2026-07-05T02:11:14Z"},{"alias_kind":"pith_short_16","alias_value":"IZD3NMALIXGTZLTF","created_at":"2026-07-05T02:11:14Z"},{"alias_kind":"pith_short_8","alias_value":"IZD3NMAL","created_at":"2026-07-05T02:11:14Z"}],"graph_snapshots":[{"event_id":"sha256:9566d606b5ac2ba9cc06b3db0666b3c3ea72e0a7c77d2fa6ed6babaf195a08c3","target":"graph","created_at":"2026-07-05T02:11:14Z","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/2102.00645/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern deep learning techniques have enabled advances in image-based dietary assessment such as food recognition and food portion size estimation. Valuable information on the types of foods and the amount consumed are crucial for prevention of many chronic diseases. However, existing methods for automated image-based food analysis are neither end-to-end nor are capable of processing multiple tasks (e.g., recognition and portion estimation) together, making it difficult to apply to real life applications. In this paper, we propose an image-based food analysis framework that integrates food loca","authors_text":"Carol J. Boushey, Deborah A. Kerr, Fengqing Zhu, Janine L. Wright, Jiangpeng He, Runyu Mao, Zeman Shao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-01T05:36:20Z","title":"An End-to-End Food Image Analysis System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.00645","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:fb4bc9aca49543521367ead28f3ea8e42bf1c38fbdbc54790d9efe539f509ecb","target":"record","created_at":"2026-07-05T02:11:14Z","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":"203f70320056bdf505bc515ab96a7ed06e826f3e07a8a7f10b0ce7b021ef7df3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-01T05:36:20Z","title_canon_sha256":"edf75ff36bdee703b73f79c0768d76691c1f3f4ba5f1a06fc2dbabacc84fc04d"},"schema_version":"1.0","source":{"id":"2102.00645","kind":"arxiv","version":1}},"canonical_sha256":"4647b6b00b45cd3cae65d3648d042575c784c0cc1f2c0646a1edc53d4c6fa4b5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4647b6b00b45cd3cae65d3648d042575c784c0cc1f2c0646a1edc53d4c6fa4b5","first_computed_at":"2026-07-05T02:11:14.010229Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:11:14.010229Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zNM7rts2XXfT9JVaRbHeyaezLcqjN0SG6W5NN4OONfsH3p4Z8HgRT75pOo4lQL48Aa1RzveITmglzJhG/yq6CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:11:14.010590Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.00645","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fb4bc9aca49543521367ead28f3ea8e42bf1c38fbdbc54790d9efe539f509ecb","sha256:9566d606b5ac2ba9cc06b3db0666b3c3ea72e0a7c77d2fa6ed6babaf195a08c3"],"state_sha256":"99010b7685f215596f608cb9419cc7d166121fd0f02251c0961b4b298f1d3a87"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UNz24woLSCU8CxbBrbK1xx/i5q+fePK+kTcQ8ezJUhHoyzdFBD/51dp0iqwn7PtUV5Uzpfjbo4H+3OhYdFZYBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T14:30:47.933540Z","bundle_sha256":"6200a7c4dc908729f73aa3d344e28efb560d7d6afc94d06fa3a40fb84b44697a"}}