{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:57OMTDS66MCBUVQZDODBWKEO3A","short_pith_number":"pith:57OMTDS6","canonical_record":{"source":{"id":"2412.02332","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T09:49:43Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"017453eecc2992f9fec0e6c2a318e717e9c2bb6e218e30eb9b3681eeb08c98cb","abstract_canon_sha256":"0be5971ce1246e65c52eb361376275a5b83d14879406a0b2c789abd448d54282"},"schema_version":"1.0"},"canonical_sha256":"efdcc98e5ef3041a56191b861b288ed827c34b94ccb8bf9c4ca30b03f1bfca4e","source":{"kind":"arxiv","id":"2412.02332","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.02332","created_at":"2026-07-05T09:43:48Z"},{"alias_kind":"arxiv_version","alias_value":"2412.02332v1","created_at":"2026-07-05T09:43:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.02332","created_at":"2026-07-05T09:43:48Z"},{"alias_kind":"pith_short_12","alias_value":"57OMTDS66MCB","created_at":"2026-07-05T09:43:48Z"},{"alias_kind":"pith_short_16","alias_value":"57OMTDS66MCBUVQZ","created_at":"2026-07-05T09:43:48Z"},{"alias_kind":"pith_short_8","alias_value":"57OMTDS6","created_at":"2026-07-05T09:43:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:57OMTDS66MCBUVQZDODBWKEO3A","target":"record","payload":{"canonical_record":{"source":{"id":"2412.02332","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T09:49:43Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"017453eecc2992f9fec0e6c2a318e717e9c2bb6e218e30eb9b3681eeb08c98cb","abstract_canon_sha256":"0be5971ce1246e65c52eb361376275a5b83d14879406a0b2c789abd448d54282"},"schema_version":"1.0"},"canonical_sha256":"efdcc98e5ef3041a56191b861b288ed827c34b94ccb8bf9c4ca30b03f1bfca4e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:43:48.352280Z","signature_b64":"x6MX2yzAVvPeQ3On46VA5iq0DcDJVF+amLNkpnFna4WokEowAwIVSf96yNOfCXXg9OC0I3suMzM4nzJhyqYUAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"efdcc98e5ef3041a56191b861b288ed827c34b94ccb8bf9c4ca30b03f1bfca4e","last_reissued_at":"2026-07-05T09:43:48.351786Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:43:48.351786Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.02332","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":"2026-07-05T09:43:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kHU4VOjlw0NUO+diI/W9HpEBT24mYzhQ4N3i/YPclfnv4VJ7Bdo6fTm/+W2ubC3VpWyR1BwjIYiJEU6trMJTDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:38:46.938469Z"},"content_sha256":"0b0cd18ac0b1a5c3ef93a44f67d987c285a4247c456aa3f82f18015aa7a47d17","schema_version":"1.0","event_id":"sha256:0b0cd18ac0b1a5c3ef93a44f67d987c285a4247c456aa3f82f18015aa7a47d17"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:57OMTDS66MCBUVQZDODBWKEO3A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SimuScope: Realistic Endoscopic Synthetic Dataset Generation through Surgical Simulation and Diffusion Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Diego Dall'Alba, Joanna Kaleta, Micha{\\l} Naskr\\k{e}t, Przemys{\\l}aw Korzeniowski, Sabina Martyniak, Szymon P{\\l}otka","submitted_at":"2024-12-03T09:49:43Z","abstract_excerpt":"Computer-assisted surgical (CAS) systems enhance surgical execution and outcomes by providing advanced support to surgeons. These systems often rely on deep learning models trained on complex, challenging-to-annotate data. While synthetic data generation can address these challenges, enhancing the realism of such data is crucial. This work introduces a multi-stage pipeline for generating realistic synthetic data, featuring a fully-fledged surgical simulator that automatically produces all necessary annotations for modern CAS systems. This simulator generates a wide set of annotations that surp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.02332","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/2412.02332/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":"2026-07-05T09:43:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z366rS4uthjmpZpozPMySFYv29msFgzHpP+AvMRsTtHOuK9YqYIzjbZdCb7ta7U6fQO8av6f3mNOrhCccEDDCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:38:46.938829Z"},"content_sha256":"a14ae3bc8dae7dbd9535c1346df57f3291c2c2fedb07aa3795f0daacf6d79cbf","schema_version":"1.0","event_id":"sha256:a14ae3bc8dae7dbd9535c1346df57f3291c2c2fedb07aa3795f0daacf6d79cbf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/57OMTDS66MCBUVQZDODBWKEO3A/bundle.json","state_url":"https://pith.science/pith/57OMTDS66MCBUVQZDODBWKEO3A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/57OMTDS66MCBUVQZDODBWKEO3A/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":"2026-07-07T08:38:46Z","links":{"resolver":"https://pith.science/pith/57OMTDS66MCBUVQZDODBWKEO3A","bundle":"https://pith.science/pith/57OMTDS66MCBUVQZDODBWKEO3A/bundle.json","state":"https://pith.science/pith/57OMTDS66MCBUVQZDODBWKEO3A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/57OMTDS66MCBUVQZDODBWKEO3A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:57OMTDS66MCBUVQZDODBWKEO3A","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":"0be5971ce1246e65c52eb361376275a5b83d14879406a0b2c789abd448d54282","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T09:49:43Z","title_canon_sha256":"017453eecc2992f9fec0e6c2a318e717e9c2bb6e218e30eb9b3681eeb08c98cb"},"schema_version":"1.0","source":{"id":"2412.02332","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.02332","created_at":"2026-07-05T09:43:48Z"},{"alias_kind":"arxiv_version","alias_value":"2412.02332v1","created_at":"2026-07-05T09:43:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.02332","created_at":"2026-07-05T09:43:48Z"},{"alias_kind":"pith_short_12","alias_value":"57OMTDS66MCB","created_at":"2026-07-05T09:43:48Z"},{"alias_kind":"pith_short_16","alias_value":"57OMTDS66MCBUVQZ","created_at":"2026-07-05T09:43:48Z"},{"alias_kind":"pith_short_8","alias_value":"57OMTDS6","created_at":"2026-07-05T09:43:48Z"}],"graph_snapshots":[{"event_id":"sha256:a14ae3bc8dae7dbd9535c1346df57f3291c2c2fedb07aa3795f0daacf6d79cbf","target":"graph","created_at":"2026-07-05T09:43:48Z","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/2412.02332/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Computer-assisted surgical (CAS) systems enhance surgical execution and outcomes by providing advanced support to surgeons. These systems often rely on deep learning models trained on complex, challenging-to-annotate data. While synthetic data generation can address these challenges, enhancing the realism of such data is crucial. This work introduces a multi-stage pipeline for generating realistic synthetic data, featuring a fully-fledged surgical simulator that automatically produces all necessary annotations for modern CAS systems. This simulator generates a wide set of annotations that surp","authors_text":"Diego Dall'Alba, Joanna Kaleta, Micha{\\l} Naskr\\k{e}t, Przemys{\\l}aw Korzeniowski, Sabina Martyniak, Szymon P{\\l}otka","cross_cats":["eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T09:49:43Z","title":"SimuScope: Realistic Endoscopic Synthetic Dataset Generation through Surgical Simulation and Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.02332","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":"sha256:0b0cd18ac0b1a5c3ef93a44f67d987c285a4247c456aa3f82f18015aa7a47d17","target":"record","created_at":"2026-07-05T09:43:48Z","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":"0be5971ce1246e65c52eb361376275a5b83d14879406a0b2c789abd448d54282","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T09:49:43Z","title_canon_sha256":"017453eecc2992f9fec0e6c2a318e717e9c2bb6e218e30eb9b3681eeb08c98cb"},"schema_version":"1.0","source":{"id":"2412.02332","kind":"arxiv","version":1}},"canonical_sha256":"efdcc98e5ef3041a56191b861b288ed827c34b94ccb8bf9c4ca30b03f1bfca4e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"efdcc98e5ef3041a56191b861b288ed827c34b94ccb8bf9c4ca30b03f1bfca4e","first_computed_at":"2026-07-05T09:43:48.351786Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:43:48.351786Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x6MX2yzAVvPeQ3On46VA5iq0DcDJVF+amLNkpnFna4WokEowAwIVSf96yNOfCXXg9OC0I3suMzM4nzJhyqYUAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:43:48.352280Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.02332","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0b0cd18ac0b1a5c3ef93a44f67d987c285a4247c456aa3f82f18015aa7a47d17","sha256:a14ae3bc8dae7dbd9535c1346df57f3291c2c2fedb07aa3795f0daacf6d79cbf"],"state_sha256":"0cff00e213fa8b49c634b261d26a7274ebd940602055a9f40fd4ec5c36fabf37"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OFzT1zbKj8x5dIpdrNV7L4y2UxHhkg05rY6xIu9FmMyUVyNprBycmKTh1i072lRQ1r6FwEHR8WgR8EodE/HxDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T08:38:46.940692Z","bundle_sha256":"b9539109a4d8689b36349e8d246a4c269147d9fe296923bf48f297289cc58b26"}}