{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:VPUWDR6PN3F4BWTF2AJKN5FVHU","short_pith_number":"pith:VPUWDR6P","canonical_record":{"source":{"id":"1908.08279","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2019-08-22T09:33:30Z","cross_cats_sorted":["cs.CV","eess.IV"],"title_canon_sha256":"9539b427c168843f2fef6e7230ca8ac3ee011079fc4f4c5c7f5d82608dd72e96","abstract_canon_sha256":"b7c5591b70b2fcbf0df8bf21fcb5a92028edacf56cd15b8f98eae894e421e78b"},"schema_version":"1.0"},"canonical_sha256":"abe961c7cf6ecbc0da65d012a6f4b53d07419afd7b09f330e5fd93845be97370","source":{"kind":"arxiv","id":"1908.08279","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.08279","created_at":"2026-07-05T00:38:03Z"},{"alias_kind":"arxiv_version","alias_value":"1908.08279v1","created_at":"2026-07-05T00:38:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.08279","created_at":"2026-07-05T00:38:03Z"},{"alias_kind":"pith_short_12","alias_value":"VPUWDR6PN3F4","created_at":"2026-07-05T00:38:03Z"},{"alias_kind":"pith_short_16","alias_value":"VPUWDR6PN3F4BWTF","created_at":"2026-07-05T00:38:03Z"},{"alias_kind":"pith_short_8","alias_value":"VPUWDR6P","created_at":"2026-07-05T00:38:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:VPUWDR6PN3F4BWTF2AJKN5FVHU","target":"record","payload":{"canonical_record":{"source":{"id":"1908.08279","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2019-08-22T09:33:30Z","cross_cats_sorted":["cs.CV","eess.IV"],"title_canon_sha256":"9539b427c168843f2fef6e7230ca8ac3ee011079fc4f4c5c7f5d82608dd72e96","abstract_canon_sha256":"b7c5591b70b2fcbf0df8bf21fcb5a92028edacf56cd15b8f98eae894e421e78b"},"schema_version":"1.0"},"canonical_sha256":"abe961c7cf6ecbc0da65d012a6f4b53d07419afd7b09f330e5fd93845be97370","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:38:03.752227Z","signature_b64":"jadkl5ihI8n8wBzB9ZPdzjLykfQugkc8DcjwKgx1mCiZrdXdRNjICt/qHqvqz0PPD1U3x5iaNNG6AcM7u1z6Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"abe961c7cf6ecbc0da65d012a6f4b53d07419afd7b09f330e5fd93845be97370","last_reissued_at":"2026-07-05T00:38:03.751676Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:38:03.751676Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.08279","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":"2026-07-05T00:38:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BAILxaK9Ux892QrTOvrsb2J54fhRwijpyocS58uFsXDBJkJ9FzijIKiYGxjYQ6b9BfY2edCqRs9Xypd9mfgdBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T12:09:20.438037Z"},"content_sha256":"31b12becdbd48e237be0a9c67c51e4b61e971f92ae11faf1cf152188b298e98b","schema_version":"1.0","event_id":"sha256:31b12becdbd48e237be0a9c67c51e4b61e971f92ae11faf1cf152188b298e98b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:VPUWDR6PN3F4BWTF2AJKN5FVHU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Contour Detection in Cassini ISS images based on Hierarchical Extreme Learning Machine and Dense Conditional Random Field","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","eess.IV"],"primary_cat":"astro-ph.IM","authors_text":"Qingfeng Zhang, Xiqi Yang, Zhan Li","submitted_at":"2019-08-22T09:33:30Z","abstract_excerpt":"In Cassini ISS (Imaging Science Subsystem) images, contour detection is often performed on disk-resolved object to accurately locate their center. Thus, the contour detection is a key problem. Traditional edge detection methods, such as Canny and Roberts, often extract the contour with too much interior details and noise. Although the deep convolutional neural network has been applied successfully in many image tasks, such as classification and object detection, it needs more time and computer resources. In the paper, a contour detection algorithm based on H-ELM (Hierarchical Extreme Learning "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.08279","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/1908.08279/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":"2026-07-05T00:38:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8hlcYbFymghYO9HjQzfVX+vwqKzESDFSNqwrFcJ40vemsV/nl87JYyIsjYu/ffTnF+2PO/VFrgrpz6/61psnDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T12:09:20.438559Z"},"content_sha256":"61db058e10c2453ee5da0e1a076d07a3b12514668dc67fbf89907ec49d0ca205","schema_version":"1.0","event_id":"sha256:61db058e10c2453ee5da0e1a076d07a3b12514668dc67fbf89907ec49d0ca205"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VPUWDR6PN3F4BWTF2AJKN5FVHU/bundle.json","state_url":"https://pith.science/pith/VPUWDR6PN3F4BWTF2AJKN5FVHU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VPUWDR6PN3F4BWTF2AJKN5FVHU/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":"2026-08-16T12:09:20Z","links":{"resolver":"https://pith.science/pith/VPUWDR6PN3F4BWTF2AJKN5FVHU","bundle":"https://pith.science/pith/VPUWDR6PN3F4BWTF2AJKN5FVHU/bundle.json","state":"https://pith.science/pith/VPUWDR6PN3F4BWTF2AJKN5FVHU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VPUWDR6PN3F4BWTF2AJKN5FVHU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:VPUWDR6PN3F4BWTF2AJKN5FVHU","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":"b7c5591b70b2fcbf0df8bf21fcb5a92028edacf56cd15b8f98eae894e421e78b","cross_cats_sorted":["cs.CV","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2019-08-22T09:33:30Z","title_canon_sha256":"9539b427c168843f2fef6e7230ca8ac3ee011079fc4f4c5c7f5d82608dd72e96"},"schema_version":"1.0","source":{"id":"1908.08279","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.08279","created_at":"2026-07-05T00:38:03Z"},{"alias_kind":"arxiv_version","alias_value":"1908.08279v1","created_at":"2026-07-05T00:38:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.08279","created_at":"2026-07-05T00:38:03Z"},{"alias_kind":"pith_short_12","alias_value":"VPUWDR6PN3F4","created_at":"2026-07-05T00:38:03Z"},{"alias_kind":"pith_short_16","alias_value":"VPUWDR6PN3F4BWTF","created_at":"2026-07-05T00:38:03Z"},{"alias_kind":"pith_short_8","alias_value":"VPUWDR6P","created_at":"2026-07-05T00:38:03Z"}],"graph_snapshots":[{"event_id":"sha256:61db058e10c2453ee5da0e1a076d07a3b12514668dc67fbf89907ec49d0ca205","target":"graph","created_at":"2026-07-05T00:38:03Z","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/1908.08279/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In Cassini ISS (Imaging Science Subsystem) images, contour detection is often performed on disk-resolved object to accurately locate their center. Thus, the contour detection is a key problem. Traditional edge detection methods, such as Canny and Roberts, often extract the contour with too much interior details and noise. Although the deep convolutional neural network has been applied successfully in many image tasks, such as classification and object detection, it needs more time and computer resources. In the paper, a contour detection algorithm based on H-ELM (Hierarchical Extreme Learning ","authors_text":"Qingfeng Zhang, Xiqi Yang, Zhan Li","cross_cats":["cs.CV","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2019-08-22T09:33:30Z","title":"Contour Detection in Cassini ISS images based on Hierarchical Extreme Learning Machine and Dense Conditional Random Field"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.08279","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":"sha256:31b12becdbd48e237be0a9c67c51e4b61e971f92ae11faf1cf152188b298e98b","target":"record","created_at":"2026-07-05T00:38:03Z","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":"b7c5591b70b2fcbf0df8bf21fcb5a92028edacf56cd15b8f98eae894e421e78b","cross_cats_sorted":["cs.CV","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2019-08-22T09:33:30Z","title_canon_sha256":"9539b427c168843f2fef6e7230ca8ac3ee011079fc4f4c5c7f5d82608dd72e96"},"schema_version":"1.0","source":{"id":"1908.08279","kind":"arxiv","version":1}},"canonical_sha256":"abe961c7cf6ecbc0da65d012a6f4b53d07419afd7b09f330e5fd93845be97370","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"abe961c7cf6ecbc0da65d012a6f4b53d07419afd7b09f330e5fd93845be97370","first_computed_at":"2026-07-05T00:38:03.751676Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:38:03.751676Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jadkl5ihI8n8wBzB9ZPdzjLykfQugkc8DcjwKgx1mCiZrdXdRNjICt/qHqvqz0PPD1U3x5iaNNG6AcM7u1z6Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:38:03.752227Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.08279","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:31b12becdbd48e237be0a9c67c51e4b61e971f92ae11faf1cf152188b298e98b","sha256:61db058e10c2453ee5da0e1a076d07a3b12514668dc67fbf89907ec49d0ca205"],"state_sha256":"2b24831eb4d9ce33ab438075164763a995ca9b18c05962b012fa312b0901697c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c6xIfM074lO1iMJ559ITRhGfJozFc2FvePPeifWV3oA95wNzzh6Voh3+H5P0a2CEcXGm6L2pZQix6n3Z6qaPDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T12:09:20.443447Z","bundle_sha256":"a40fa76f8d33ea63989134a60cacb7e616d72232e813c57810fab3c8a471286b"}}