{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:SHSOVLZWOELN2MY6PLPQFZGKVY","short_pith_number":"pith:SHSOVLZW","canonical_record":{"source":{"id":"2005.03654","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-05-07T17:59:54Z","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"title_canon_sha256":"735ecc64ba0a01e768a5118774795aac713c3598e66bde8a467941720c33d1df","abstract_canon_sha256":"03c9ca101caaec55eb351e19a001810205fb24c8ecbb87e8e2d3e572ac9f131d"},"schema_version":"1.0"},"canonical_sha256":"91e4eaaf367116dd331e7adf02e4caae2eaeebe757170736ea72cca51629bbc6","source":{"kind":"arxiv","id":"2005.03654","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.03654","created_at":"2026-07-05T02:47:56Z"},{"alias_kind":"arxiv_version","alias_value":"2005.03654v2","created_at":"2026-07-05T02:47:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.03654","created_at":"2026-07-05T02:47:56Z"},{"alias_kind":"pith_short_12","alias_value":"SHSOVLZWOELN","created_at":"2026-07-05T02:47:56Z"},{"alias_kind":"pith_short_16","alias_value":"SHSOVLZWOELN2MY6","created_at":"2026-07-05T02:47:56Z"},{"alias_kind":"pith_short_8","alias_value":"SHSOVLZW","created_at":"2026-07-05T02:47:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:SHSOVLZWOELN2MY6PLPQFZGKVY","target":"record","payload":{"canonical_record":{"source":{"id":"2005.03654","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-05-07T17:59:54Z","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"title_canon_sha256":"735ecc64ba0a01e768a5118774795aac713c3598e66bde8a467941720c33d1df","abstract_canon_sha256":"03c9ca101caaec55eb351e19a001810205fb24c8ecbb87e8e2d3e572ac9f131d"},"schema_version":"1.0"},"canonical_sha256":"91e4eaaf367116dd331e7adf02e4caae2eaeebe757170736ea72cca51629bbc6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:47:56.221417Z","signature_b64":"Jr3TFmckZ+0ttLDn21be1JH1zmTRhk8TJ2UoGOKs7XA2dXIl9rHuzUZp83HoeUj+eSvs1TX4M7lO1ircJNbxBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"91e4eaaf367116dd331e7adf02e4caae2eaeebe757170736ea72cca51629bbc6","last_reissued_at":"2026-07-05T02:47:56.220956Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:47:56.220956Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2005.03654","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:47:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s5IlXIEqbBxEDG9rLynH7VzN8HvhHtPqXFbId7Ip7wpIDQC1pbaKGK2CHH2F6/imP2YSeI1YuWR7ku37AhTvDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T00:54:20.231146Z"},"content_sha256":"c6a16e409303c9808276f1538f20671d6afdc3171fcf80636183e0e4d13b7402","schema_version":"1.0","event_id":"sha256:c6a16e409303c9808276f1538f20671d6afdc3171fcf80636183e0e4d13b7402"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:SHSOVLZWOELN2MY6PLPQFZGKVY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG","stat.ML"],"primary_cat":"eess.IV","authors_text":"Elena Ericheva, Ivan Drokin","submitted_at":"2020-05-07T17:59:54Z","abstract_excerpt":"This paper focuses on a novel approach for false-positive reduction (FPR) of nodule candidates in Computer-aided detection (CADe) systems following the suspicious lesions detection stage. Contrary to typical decisions in medical image analysis, the proposed approach considers input data not as a 2D or 3D image, but rather as a point cloud, and uses deep learning models for point clouds. We discovered that point cloud models require less memory and are faster both in training and inference compared to traditional CNN 3D, they achieve better performance and do not impose restrictions on the size"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.03654","kind":"arxiv","version":2},"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/2005.03654/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":"2026-07-05T02:47:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FeYf5056CI6hQV/HUYsbelSqM30BBZ5m4qgVOG8sPGs8iZwHQAXblleMJsrTDk7m9ms/WyCxeQocwSpg7FNNBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T00:54:20.231527Z"},"content_sha256":"4e1dbbc1037de54b839edd266e8b201369028c279108db89b8a2026fa7a3eefb","schema_version":"1.0","event_id":"sha256:4e1dbbc1037de54b839edd266e8b201369028c279108db89b8a2026fa7a3eefb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SHSOVLZWOELN2MY6PLPQFZGKVY/bundle.json","state_url":"https://pith.science/pith/SHSOVLZWOELN2MY6PLPQFZGKVY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SHSOVLZWOELN2MY6PLPQFZGKVY/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":"2026-08-04T00:54:20Z","links":{"resolver":"https://pith.science/pith/SHSOVLZWOELN2MY6PLPQFZGKVY","bundle":"https://pith.science/pith/SHSOVLZWOELN2MY6PLPQFZGKVY/bundle.json","state":"https://pith.science/pith/SHSOVLZWOELN2MY6PLPQFZGKVY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SHSOVLZWOELN2MY6PLPQFZGKVY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:SHSOVLZWOELN2MY6PLPQFZGKVY","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":"03c9ca101caaec55eb351e19a001810205fb24c8ecbb87e8e2d3e572ac9f131d","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-05-07T17:59:54Z","title_canon_sha256":"735ecc64ba0a01e768a5118774795aac713c3598e66bde8a467941720c33d1df"},"schema_version":"1.0","source":{"id":"2005.03654","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.03654","created_at":"2026-07-05T02:47:56Z"},{"alias_kind":"arxiv_version","alias_value":"2005.03654v2","created_at":"2026-07-05T02:47:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.03654","created_at":"2026-07-05T02:47:56Z"},{"alias_kind":"pith_short_12","alias_value":"SHSOVLZWOELN","created_at":"2026-07-05T02:47:56Z"},{"alias_kind":"pith_short_16","alias_value":"SHSOVLZWOELN2MY6","created_at":"2026-07-05T02:47:56Z"},{"alias_kind":"pith_short_8","alias_value":"SHSOVLZW","created_at":"2026-07-05T02:47:56Z"}],"graph_snapshots":[{"event_id":"sha256:4e1dbbc1037de54b839edd266e8b201369028c279108db89b8a2026fa7a3eefb","target":"graph","created_at":"2026-07-05T02:47:56Z","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/2005.03654/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper focuses on a novel approach for false-positive reduction (FPR) of nodule candidates in Computer-aided detection (CADe) systems following the suspicious lesions detection stage. Contrary to typical decisions in medical image analysis, the proposed approach considers input data not as a 2D or 3D image, but rather as a point cloud, and uses deep learning models for point clouds. We discovered that point cloud models require less memory and are faster both in training and inference compared to traditional CNN 3D, they achieve better performance and do not impose restrictions on the size","authors_text":"Elena Ericheva, Ivan Drokin","cross_cats":["cs.CV","cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-05-07T17:59:54Z","title":"Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.03654","kind":"arxiv","version":2},"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:c6a16e409303c9808276f1538f20671d6afdc3171fcf80636183e0e4d13b7402","target":"record","created_at":"2026-07-05T02:47:56Z","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":"03c9ca101caaec55eb351e19a001810205fb24c8ecbb87e8e2d3e572ac9f131d","cross_cats_sorted":["cs.CV","cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-05-07T17:59:54Z","title_canon_sha256":"735ecc64ba0a01e768a5118774795aac713c3598e66bde8a467941720c33d1df"},"schema_version":"1.0","source":{"id":"2005.03654","kind":"arxiv","version":2}},"canonical_sha256":"91e4eaaf367116dd331e7adf02e4caae2eaeebe757170736ea72cca51629bbc6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"91e4eaaf367116dd331e7adf02e4caae2eaeebe757170736ea72cca51629bbc6","first_computed_at":"2026-07-05T02:47:56.220956Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:47:56.220956Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Jr3TFmckZ+0ttLDn21be1JH1zmTRhk8TJ2UoGOKs7XA2dXIl9rHuzUZp83HoeUj+eSvs1TX4M7lO1ircJNbxBA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:47:56.221417Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.03654","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c6a16e409303c9808276f1538f20671d6afdc3171fcf80636183e0e4d13b7402","sha256:4e1dbbc1037de54b839edd266e8b201369028c279108db89b8a2026fa7a3eefb"],"state_sha256":"d25c9794d5e9f43f1a9658e22093abbc96c3874feb07ad2790ad34b04d58e5c4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pRQlnysvm62hrb/hLpSc4R+GXF5jEVsguJXBcnwuYIjCQkIB+ZIwYJe4VBWyhhvb7Mf4XiRfWO9hX3O/pQW8Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T00:54:20.234290Z","bundle_sha256":"0fcb5aed38dc8b84a1fb72d01edee94d42d1d5da28d8772e8c1730d510699dd3"}}