{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:J6M67XTGQLTSHAJHBS4WGDJKGT","short_pith_number":"pith:J6M67XTG","canonical_record":{"source":{"id":"1807.10565","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-17T08:50:03Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"86dde83aa77fd99997a9bce2198e085ea67fb7bc727c1bfd6164faf6af23f173","abstract_canon_sha256":"6dc8f0fd3652729bfc022ffb7368aa1719aaf2d381b2e5b95287163cc171e4a6"},"schema_version":"1.0"},"canonical_sha256":"4f99efde6682e72381270cb9630d2a34c02ad07e09b8e2d725eae501019e29f7","source":{"kind":"arxiv","id":"1807.10565","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.10565","created_at":"2026-05-18T00:09:40Z"},{"alias_kind":"arxiv_version","alias_value":"1807.10565v1","created_at":"2026-05-18T00:09:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.10565","created_at":"2026-05-18T00:09:40Z"},{"alias_kind":"pith_short_12","alias_value":"J6M67XTGQLTS","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"J6M67XTGQLTSHAJH","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"J6M67XTG","created_at":"2026-05-18T12:32:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:J6M67XTGQLTSHAJHBS4WGDJKGT","target":"record","payload":{"canonical_record":{"source":{"id":"1807.10565","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-17T08:50:03Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"86dde83aa77fd99997a9bce2198e085ea67fb7bc727c1bfd6164faf6af23f173","abstract_canon_sha256":"6dc8f0fd3652729bfc022ffb7368aa1719aaf2d381b2e5b95287163cc171e4a6"},"schema_version":"1.0"},"canonical_sha256":"4f99efde6682e72381270cb9630d2a34c02ad07e09b8e2d725eae501019e29f7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:09:40.200992Z","signature_b64":"z8xU0MT5bQuopOeHUrsZo2hAshsk57TzpdExzAAjJSdJT8p4yxKWh3ljhOEIP4dm9xpxTYQCoNorIP5QKWKuDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4f99efde6682e72381270cb9630d2a34c02ad07e09b8e2d725eae501019e29f7","last_reissued_at":"2026-05-18T00:09:40.200414Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:09:40.200414Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.10565","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":"2026-05-18T00:09:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/gizBolCWim8yI+fJa7LXjYdPRl1Z7gRPbe6ulcRwKFVyreg2yUzWt0Zkc8WiHeUITlLImYfcqq02lyuth0YBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T03:35:51.985877Z"},"content_sha256":"59de1f4f3b8e75e10cdbd94ed5f67db8e656871433dc63ca47fb51c3a547ef17","schema_version":"1.0","event_id":"sha256:59de1f4f3b8e75e10cdbd94ed5f67db8e656871433dc63ca47fb51c3a547ef17"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:J6M67XTGQLTSHAJHBS4WGDJKGT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DeepPhase: Surgical Phase Recognition in CATARACTS Videos","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.CV","authors_text":"Andre Chow, Danail Stoyanov, Evangello Flouty, Imanol Luengo, Jean Nehme, Odysseas Zisimopoulos, Petros Giataganas","submitted_at":"2018-07-17T08:50:03Z","abstract_excerpt":"Automated surgical workflow analysis and understanding can assist surgeons to standardize procedures and enhance post-surgical assessment and indexing, as well as, interventional monitoring. Computer-assisted interventional (CAI) systems based on video can perform workflow estimation through surgical instruments' recognition while linking them to an ontology of procedural phases. In this work, we adopt a deep learning paradigm to detect surgical instruments in cataract surgery videos which in turn feed a surgical phase inference recurrent network that encodes temporal aspects of phase steps wi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.10565","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":"2026-05-18T00:09:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/GPQSub3rTcz8rdrJ/JfgA3sNEs7ieq+Elp81kqpBjL4FXeNIlfHr/d5zOUINXxgyppIaNV9ntsJwLumwcV5BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T03:35:51.986222Z"},"content_sha256":"f7be2a50dd954a8e8ac1a77b16e57e0975472a3781fe88e3ad9cebc590650f8a","schema_version":"1.0","event_id":"sha256:f7be2a50dd954a8e8ac1a77b16e57e0975472a3781fe88e3ad9cebc590650f8a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J6M67XTGQLTSHAJHBS4WGDJKGT/bundle.json","state_url":"https://pith.science/pith/J6M67XTGQLTSHAJHBS4WGDJKGT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J6M67XTGQLTSHAJHBS4WGDJKGT/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":"2026-06-02T03:35:51Z","links":{"resolver":"https://pith.science/pith/J6M67XTGQLTSHAJHBS4WGDJKGT","bundle":"https://pith.science/pith/J6M67XTGQLTSHAJHBS4WGDJKGT/bundle.json","state":"https://pith.science/pith/J6M67XTGQLTSHAJHBS4WGDJKGT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J6M67XTGQLTSHAJHBS4WGDJKGT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:J6M67XTGQLTSHAJHBS4WGDJKGT","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":"6dc8f0fd3652729bfc022ffb7368aa1719aaf2d381b2e5b95287163cc171e4a6","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-17T08:50:03Z","title_canon_sha256":"86dde83aa77fd99997a9bce2198e085ea67fb7bc727c1bfd6164faf6af23f173"},"schema_version":"1.0","source":{"id":"1807.10565","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.10565","created_at":"2026-05-18T00:09:40Z"},{"alias_kind":"arxiv_version","alias_value":"1807.10565v1","created_at":"2026-05-18T00:09:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.10565","created_at":"2026-05-18T00:09:40Z"},{"alias_kind":"pith_short_12","alias_value":"J6M67XTGQLTS","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"J6M67XTGQLTSHAJH","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"J6M67XTG","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:f7be2a50dd954a8e8ac1a77b16e57e0975472a3781fe88e3ad9cebc590650f8a","target":"graph","created_at":"2026-05-18T00:09:40Z","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":"Automated surgical workflow analysis and understanding can assist surgeons to standardize procedures and enhance post-surgical assessment and indexing, as well as, interventional monitoring. Computer-assisted interventional (CAI) systems based on video can perform workflow estimation through surgical instruments' recognition while linking them to an ontology of procedural phases. In this work, we adopt a deep learning paradigm to detect surgical instruments in cataract surgery videos which in turn feed a surgical phase inference recurrent network that encodes temporal aspects of phase steps wi","authors_text":"Andre Chow, Danail Stoyanov, Evangello Flouty, Imanol Luengo, Jean Nehme, Odysseas Zisimopoulos, Petros Giataganas","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-17T08:50:03Z","title":"DeepPhase: Surgical Phase Recognition in CATARACTS Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.10565","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":"sha256:59de1f4f3b8e75e10cdbd94ed5f67db8e656871433dc63ca47fb51c3a547ef17","target":"record","created_at":"2026-05-18T00:09:40Z","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":"6dc8f0fd3652729bfc022ffb7368aa1719aaf2d381b2e5b95287163cc171e4a6","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-17T08:50:03Z","title_canon_sha256":"86dde83aa77fd99997a9bce2198e085ea67fb7bc727c1bfd6164faf6af23f173"},"schema_version":"1.0","source":{"id":"1807.10565","kind":"arxiv","version":1}},"canonical_sha256":"4f99efde6682e72381270cb9630d2a34c02ad07e09b8e2d725eae501019e29f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f99efde6682e72381270cb9630d2a34c02ad07e09b8e2d725eae501019e29f7","first_computed_at":"2026-05-18T00:09:40.200414Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:09:40.200414Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"z8xU0MT5bQuopOeHUrsZo2hAshsk57TzpdExzAAjJSdJT8p4yxKWh3ljhOEIP4dm9xpxTYQCoNorIP5QKWKuDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:09:40.200992Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.10565","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:59de1f4f3b8e75e10cdbd94ed5f67db8e656871433dc63ca47fb51c3a547ef17","sha256:f7be2a50dd954a8e8ac1a77b16e57e0975472a3781fe88e3ad9cebc590650f8a"],"state_sha256":"88ec7a06c3bd73c428d088e654349e2c335ec8f93915af845732b59e1df26d03"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tE1op5vmRaOP6LxCRw6wLLjetdx3vUQXqDG6K0o52yEhbQRPtk+nn1feHuTTThbsmoHl2Zal7rJMvMlcHtEXBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T03:35:51.988085Z","bundle_sha256":"638d60dbb855925986c52983f6558d249a86f3af2477a6282bf34af43a12bb52"}}