{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:T6ZYQ43AHOCMYJLYRYUMPSYEJN","short_pith_number":"pith:T6ZYQ43A","canonical_record":{"source":{"id":"1605.00982","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2016-05-03T16:54:07Z","cross_cats_sorted":[],"title_canon_sha256":"0023a7610f21ca3f87e467634d99adae9b91d5a5b8033223618602417fedfa87","abstract_canon_sha256":"2039f9b6762bcf1f7e67e5828e9f09a84878de7cc0ba2a7c015944b398f91a8b"},"schema_version":"1.0"},"canonical_sha256":"9fb38873603b84cc25788e28c7cb044b7668debe2758245280358155b20c294a","source":{"kind":"arxiv","id":"1605.00982","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.00982","created_at":"2026-05-18T01:15:33Z"},{"alias_kind":"arxiv_version","alias_value":"1605.00982v2","created_at":"2026-05-18T01:15:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.00982","created_at":"2026-05-18T01:15:33Z"},{"alias_kind":"pith_short_12","alias_value":"T6ZYQ43AHOCM","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_16","alias_value":"T6ZYQ43AHOCMYJLY","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_8","alias_value":"T6ZYQ43A","created_at":"2026-05-18T12:30:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:T6ZYQ43AHOCMYJLYRYUMPSYEJN","target":"record","payload":{"canonical_record":{"source":{"id":"1605.00982","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2016-05-03T16:54:07Z","cross_cats_sorted":[],"title_canon_sha256":"0023a7610f21ca3f87e467634d99adae9b91d5a5b8033223618602417fedfa87","abstract_canon_sha256":"2039f9b6762bcf1f7e67e5828e9f09a84878de7cc0ba2a7c015944b398f91a8b"},"schema_version":"1.0"},"canonical_sha256":"9fb38873603b84cc25788e28c7cb044b7668debe2758245280358155b20c294a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:15:33.782715Z","signature_b64":"7Q84DWapOSdYIAwHVA2DI4i1ryZlzVB4xKxwVuxbnUNkm9d4+FIlzha4byPZ8hnUhwv2Z3X2P/xChSihB2sODQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9fb38873603b84cc25788e28c7cb044b7668debe2758245280358155b20c294a","last_reissued_at":"2026-05-18T01:15:33.782118Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:15:33.782118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1605.00982","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":"2026-05-18T01:15:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4LGnvoV6/o/xpjvdA71ptuG1phfnoXAh2jQdg5kONgzFfZ1sXQEERTsDP6EvKhjFAlL70Vq3BJs17Zw7kx9TCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T09:13:54.143626Z"},"content_sha256":"692322139038b9d10b58c6e7dbdfeb113ec243429f6b47d906ca2192babaace7","schema_version":"1.0","event_id":"sha256:692322139038b9d10b58c6e7dbdfeb113ec243429f6b47d906ca2192babaace7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:T6ZYQ43AHOCMYJLYRYUMPSYEJN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Phase 4: DCL System Using Deep Learning Approaches for Land-Based or Ship-Based Real-Time Recognition and Localization of Marine Mammals - Distributed Processing and Big Data Applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Christopher W. Clark, Peter J. Dugan, Sofie M. Van Parijs, Yann Andr\\'e LeCun","submitted_at":"2016-05-03T16:54:07Z","abstract_excerpt":"While the animal bioacoustics community at large is collecting huge amounts of acoustic data at an unprecedented pace, processing these data is problematic. Currently in bioacoustics, there is no effective way to achieve high performance computing using commericial off the shelf (COTS) or government off the shelf (GOTS) tools. Although several advances have been made in the open source and commercial software community, these offerings either support specific applications that do not integrate well with data formats in bioacoustics or they are too general. Furthermore, complex algorithms that "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.00982","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":""},"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":"2026-05-18T01:15:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D0YowPh/naRQDYnbwMe5v6dGM0Je++uPtZp8oeWujyvIUGmCX/VQUFZBOOCKaJxMyU+YA8wkH2/SHU1lTMrtAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T09:13:54.144265Z"},"content_sha256":"073cfc1eb88024667a4bc11b4fb04f47d3c6d2bd0eaab5e3c1c3e97951d5616f","schema_version":"1.0","event_id":"sha256:073cfc1eb88024667a4bc11b4fb04f47d3c6d2bd0eaab5e3c1c3e97951d5616f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T6ZYQ43AHOCMYJLYRYUMPSYEJN/bundle.json","state_url":"https://pith.science/pith/T6ZYQ43AHOCMYJLYRYUMPSYEJN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T6ZYQ43AHOCMYJLYRYUMPSYEJN/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":"2026-06-06T09:13:54Z","links":{"resolver":"https://pith.science/pith/T6ZYQ43AHOCMYJLYRYUMPSYEJN","bundle":"https://pith.science/pith/T6ZYQ43AHOCMYJLYRYUMPSYEJN/bundle.json","state":"https://pith.science/pith/T6ZYQ43AHOCMYJLYRYUMPSYEJN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T6ZYQ43AHOCMYJLYRYUMPSYEJN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:T6ZYQ43AHOCMYJLYRYUMPSYEJN","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":"2039f9b6762bcf1f7e67e5828e9f09a84878de7cc0ba2a7c015944b398f91a8b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2016-05-03T16:54:07Z","title_canon_sha256":"0023a7610f21ca3f87e467634d99adae9b91d5a5b8033223618602417fedfa87"},"schema_version":"1.0","source":{"id":"1605.00982","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.00982","created_at":"2026-05-18T01:15:33Z"},{"alias_kind":"arxiv_version","alias_value":"1605.00982v2","created_at":"2026-05-18T01:15:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.00982","created_at":"2026-05-18T01:15:33Z"},{"alias_kind":"pith_short_12","alias_value":"T6ZYQ43AHOCM","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_16","alias_value":"T6ZYQ43AHOCMYJLY","created_at":"2026-05-18T12:30:44Z"},{"alias_kind":"pith_short_8","alias_value":"T6ZYQ43A","created_at":"2026-05-18T12:30:44Z"}],"graph_snapshots":[{"event_id":"sha256:073cfc1eb88024667a4bc11b4fb04f47d3c6d2bd0eaab5e3c1c3e97951d5616f","target":"graph","created_at":"2026-05-18T01:15:33Z","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":"While the animal bioacoustics community at large is collecting huge amounts of acoustic data at an unprecedented pace, processing these data is problematic. Currently in bioacoustics, there is no effective way to achieve high performance computing using commericial off the shelf (COTS) or government off the shelf (GOTS) tools. Although several advances have been made in the open source and commercial software community, these offerings either support specific applications that do not integrate well with data formats in bioacoustics or they are too general. Furthermore, complex algorithms that ","authors_text":"Christopher W. Clark, Peter J. Dugan, Sofie M. Van Parijs, Yann Andr\\'e LeCun","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2016-05-03T16:54:07Z","title":"Phase 4: DCL System Using Deep Learning Approaches for Land-Based or Ship-Based Real-Time Recognition and Localization of Marine Mammals - Distributed Processing and Big Data Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.00982","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":"sha256:692322139038b9d10b58c6e7dbdfeb113ec243429f6b47d906ca2192babaace7","target":"record","created_at":"2026-05-18T01:15:33Z","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":"2039f9b6762bcf1f7e67e5828e9f09a84878de7cc0ba2a7c015944b398f91a8b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2016-05-03T16:54:07Z","title_canon_sha256":"0023a7610f21ca3f87e467634d99adae9b91d5a5b8033223618602417fedfa87"},"schema_version":"1.0","source":{"id":"1605.00982","kind":"arxiv","version":2}},"canonical_sha256":"9fb38873603b84cc25788e28c7cb044b7668debe2758245280358155b20c294a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9fb38873603b84cc25788e28c7cb044b7668debe2758245280358155b20c294a","first_computed_at":"2026-05-18T01:15:33.782118Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:15:33.782118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7Q84DWapOSdYIAwHVA2DI4i1ryZlzVB4xKxwVuxbnUNkm9d4+FIlzha4byPZ8hnUhwv2Z3X2P/xChSihB2sODQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:15:33.782715Z","signed_message":"canonical_sha256_bytes"},"source_id":"1605.00982","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:692322139038b9d10b58c6e7dbdfeb113ec243429f6b47d906ca2192babaace7","sha256:073cfc1eb88024667a4bc11b4fb04f47d3c6d2bd0eaab5e3c1c3e97951d5616f"],"state_sha256":"467477b3bbcd6ac85e7d0a4733b793aa3c38689504f9622837714bd1375d657b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+lJHp17UTeGZ3vXE2g7loWw3mYwhUdUpcXfBJ7wGt7zFrymccwUm3Ey/gccRuk5P+5z61rPA40eCyKd1/771Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T09:13:54.147755Z","bundle_sha256":"b5f65f4af856074640ab129977056936b3b3bfa34a3327775e4dbd8b810d7c55"}}