{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:IY5ZUCANJNHGIJFRPDK2VYSI42","short_pith_number":"pith:IY5ZUCAN","canonical_record":{"source":{"id":"1310.6736","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-10-24T01:50:24Z","cross_cats_sorted":[],"title_canon_sha256":"ba83dc20e9418be3946ae1736c2429cb4046eefffad3a9dd567b0cb3eed5e209","abstract_canon_sha256":"cc0477c4457b0a27254d2a3a914d073fa5a39abf3834ff76c8247624b20f6901"},"schema_version":"1.0"},"canonical_sha256":"463b9a080d4b4e6424b178d5aae248e6883fbff723cb9d65c294405bdbc06fe7","source":{"kind":"arxiv","id":"1310.6736","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1310.6736","created_at":"2026-05-18T03:08:57Z"},{"alias_kind":"arxiv_version","alias_value":"1310.6736v1","created_at":"2026-05-18T03:08:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1310.6736","created_at":"2026-05-18T03:08:57Z"},{"alias_kind":"pith_short_12","alias_value":"IY5ZUCANJNHG","created_at":"2026-05-18T12:27:49Z"},{"alias_kind":"pith_short_16","alias_value":"IY5ZUCANJNHGIJFR","created_at":"2026-05-18T12:27:49Z"},{"alias_kind":"pith_short_8","alias_value":"IY5ZUCAN","created_at":"2026-05-18T12:27:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:IY5ZUCANJNHGIJFRPDK2VYSI42","target":"record","payload":{"canonical_record":{"source":{"id":"1310.6736","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-10-24T01:50:24Z","cross_cats_sorted":[],"title_canon_sha256":"ba83dc20e9418be3946ae1736c2429cb4046eefffad3a9dd567b0cb3eed5e209","abstract_canon_sha256":"cc0477c4457b0a27254d2a3a914d073fa5a39abf3834ff76c8247624b20f6901"},"schema_version":"1.0"},"canonical_sha256":"463b9a080d4b4e6424b178d5aae248e6883fbff723cb9d65c294405bdbc06fe7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:08:57.864919Z","signature_b64":"+Lfo0Ty/NGoZu4jADiR2STpl9eMccj3zOtMZ3kZe96BSk1Jv4sqdtwZ9tNmOV+hCr97/ZNSSYX9tA0fTrUa6Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"463b9a080d4b4e6424b178d5aae248e6883fbff723cb9d65c294405bdbc06fe7","last_reissued_at":"2026-05-18T03:08:57.864219Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:08:57.864219Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1310.6736","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":"2026-05-18T03:08:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HLqhs83qZBwuAssEIn/CjLwxHrVMUXmcesdLeIKcNs5gCQDQ2mftMg1Sn1/FlKyiwWwVHoGrJURspW8xiNKFDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T16:32:47.532148Z"},"content_sha256":"077a1d21a3cba7880b770904b320e4e092c02fd7008debc0dd79817c2c90b770","schema_version":"1.0","event_id":"sha256:077a1d21a3cba7880b770904b320e4e092c02fd7008debc0dd79817c2c90b770"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:IY5ZUCANJNHGIJFRPDK2VYSI42","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fast 3D Salient Region Detection in Medical Images using GPUs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Amit Kale, Nagavijayalakshmi Vydyanathan, Rahul Thota, Sharan Vaswani","submitted_at":"2013-10-24T01:50:24Z","abstract_excerpt":"Automated detection of visually salient regions is an active area of research in computer vision. Salient regions can serve as inputs for object detectors as well as inputs for region based registration algorithms. In this paper we consider the problem of speeding up computationally intensive bottom-up salient region detection in 3D medical volumes.The method uses the Kadir Brady formulation of saliency. We show that in the vicinity of a salient region, entropy is a monotonically increasing function of the degree of overlap of a candidate window with the salient region. This allows us to initi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1310.6736","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":"2026-05-18T03:08:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EoPT6rocDceFp8Y5lq6eVdyVJXBYsd5IKqGV1RbbsRugbp6UhLhFG7Mpb92EZSv50tNFO9Yx/O8UKNcNsJf2Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T16:32:47.532587Z"},"content_sha256":"6d985290fabe2be3d7264019e4f6701f17941d1bcc8dbc21051d535e7559c4d7","schema_version":"1.0","event_id":"sha256:6d985290fabe2be3d7264019e4f6701f17941d1bcc8dbc21051d535e7559c4d7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IY5ZUCANJNHGIJFRPDK2VYSI42/bundle.json","state_url":"https://pith.science/pith/IY5ZUCANJNHGIJFRPDK2VYSI42/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IY5ZUCANJNHGIJFRPDK2VYSI42/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":"2026-06-05T16:32:47Z","links":{"resolver":"https://pith.science/pith/IY5ZUCANJNHGIJFRPDK2VYSI42","bundle":"https://pith.science/pith/IY5ZUCANJNHGIJFRPDK2VYSI42/bundle.json","state":"https://pith.science/pith/IY5ZUCANJNHGIJFRPDK2VYSI42/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IY5ZUCANJNHGIJFRPDK2VYSI42/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:IY5ZUCANJNHGIJFRPDK2VYSI42","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":"cc0477c4457b0a27254d2a3a914d073fa5a39abf3834ff76c8247624b20f6901","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-10-24T01:50:24Z","title_canon_sha256":"ba83dc20e9418be3946ae1736c2429cb4046eefffad3a9dd567b0cb3eed5e209"},"schema_version":"1.0","source":{"id":"1310.6736","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1310.6736","created_at":"2026-05-18T03:08:57Z"},{"alias_kind":"arxiv_version","alias_value":"1310.6736v1","created_at":"2026-05-18T03:08:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1310.6736","created_at":"2026-05-18T03:08:57Z"},{"alias_kind":"pith_short_12","alias_value":"IY5ZUCANJNHG","created_at":"2026-05-18T12:27:49Z"},{"alias_kind":"pith_short_16","alias_value":"IY5ZUCANJNHGIJFR","created_at":"2026-05-18T12:27:49Z"},{"alias_kind":"pith_short_8","alias_value":"IY5ZUCAN","created_at":"2026-05-18T12:27:49Z"}],"graph_snapshots":[{"event_id":"sha256:6d985290fabe2be3d7264019e4f6701f17941d1bcc8dbc21051d535e7559c4d7","target":"graph","created_at":"2026-05-18T03:08:57Z","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 detection of visually salient regions is an active area of research in computer vision. Salient regions can serve as inputs for object detectors as well as inputs for region based registration algorithms. In this paper we consider the problem of speeding up computationally intensive bottom-up salient region detection in 3D medical volumes.The method uses the Kadir Brady formulation of saliency. We show that in the vicinity of a salient region, entropy is a monotonically increasing function of the degree of overlap of a candidate window with the salient region. This allows us to initi","authors_text":"Amit Kale, Nagavijayalakshmi Vydyanathan, Rahul Thota, Sharan Vaswani","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-10-24T01:50:24Z","title":"Fast 3D Salient Region Detection in Medical Images using GPUs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1310.6736","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":"sha256:077a1d21a3cba7880b770904b320e4e092c02fd7008debc0dd79817c2c90b770","target":"record","created_at":"2026-05-18T03:08:57Z","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":"cc0477c4457b0a27254d2a3a914d073fa5a39abf3834ff76c8247624b20f6901","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-10-24T01:50:24Z","title_canon_sha256":"ba83dc20e9418be3946ae1736c2429cb4046eefffad3a9dd567b0cb3eed5e209"},"schema_version":"1.0","source":{"id":"1310.6736","kind":"arxiv","version":1}},"canonical_sha256":"463b9a080d4b4e6424b178d5aae248e6883fbff723cb9d65c294405bdbc06fe7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"463b9a080d4b4e6424b178d5aae248e6883fbff723cb9d65c294405bdbc06fe7","first_computed_at":"2026-05-18T03:08:57.864219Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:08:57.864219Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+Lfo0Ty/NGoZu4jADiR2STpl9eMccj3zOtMZ3kZe96BSk1Jv4sqdtwZ9tNmOV+hCr97/ZNSSYX9tA0fTrUa6Cg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:08:57.864919Z","signed_message":"canonical_sha256_bytes"},"source_id":"1310.6736","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:077a1d21a3cba7880b770904b320e4e092c02fd7008debc0dd79817c2c90b770","sha256:6d985290fabe2be3d7264019e4f6701f17941d1bcc8dbc21051d535e7559c4d7"],"state_sha256":"421dd5bff2151e0432ee235db81ad6c888a05ae1e7ddfc78413d5fecf1271e06"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MgZD2MAFseFDWSQdpkK3J/UtMMuZQg9mUZZRTOrqiCS+mT0/AH83xS5dSLtzMNgvgkky4uWT3C+UsYb9pxYaCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T16:32:47.534850Z","bundle_sha256":"0b77880e22e3bcd83a06041c869861c8fcf02493b18206a1908c5e762491689d"}}