{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:A2ZP2DATKGPTP4NUUHYDGJ32BX","short_pith_number":"pith:A2ZP2DAT","canonical_record":{"source":{"id":"1608.02491","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2016-08-08T15:33:59Z","cross_cats_sorted":["astro-ph.HE","gr-qc"],"title_canon_sha256":"e89057297e285c3f0176496d4899e0f8b8193656c8077eb17c8b4e3d9c56faab","abstract_canon_sha256":"919a9b0e6c736b5db754c594651eea2bebc0f9f2c1f973c036b2001933529861"},"schema_version":"1.0"},"canonical_sha256":"06b2fd0c13519f37f1b4a1f033277a0df1634b0f8f31f734e621a7ff5f7a1a26","source":{"kind":"arxiv","id":"1608.02491","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.02491","created_at":"2026-05-18T01:02:22Z"},{"alias_kind":"arxiv_version","alias_value":"1608.02491v1","created_at":"2026-05-18T01:02:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.02491","created_at":"2026-05-18T01:02:22Z"},{"alias_kind":"pith_short_12","alias_value":"A2ZP2DATKGPT","created_at":"2026-05-18T12:30:04Z"},{"alias_kind":"pith_short_16","alias_value":"A2ZP2DATKGPTP4NU","created_at":"2026-05-18T12:30:04Z"},{"alias_kind":"pith_short_8","alias_value":"A2ZP2DAT","created_at":"2026-05-18T12:30:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:A2ZP2DATKGPTP4NUUHYDGJ32BX","target":"record","payload":{"canonical_record":{"source":{"id":"1608.02491","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2016-08-08T15:33:59Z","cross_cats_sorted":["astro-ph.HE","gr-qc"],"title_canon_sha256":"e89057297e285c3f0176496d4899e0f8b8193656c8077eb17c8b4e3d9c56faab","abstract_canon_sha256":"919a9b0e6c736b5db754c594651eea2bebc0f9f2c1f973c036b2001933529861"},"schema_version":"1.0"},"canonical_sha256":"06b2fd0c13519f37f1b4a1f033277a0df1634b0f8f31f734e621a7ff5f7a1a26","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:02:22.015053Z","signature_b64":"wAU/5ft4CHVE4KHXW4nUfJWeNK3/e/zh+GsyXU9sTL7tZN899DKmgteSMTi0uQiVPZCQC+Zfl4eXf1hM/dGsBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"06b2fd0c13519f37f1b4a1f033277a0df1634b0f8f31f734e621a7ff5f7a1a26","last_reissued_at":"2026-05-18T01:02:22.014532Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:02:22.014532Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1608.02491","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":"2026-05-18T01:02:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rQpFz0sEsGJoGA2pRzYiEYVUvZ9Z7Mzr4wR7k+VXPNcBCqUxaFRZ1Wb21XirUBmc2xdrxN5agRJDtwm2jYr2CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T18:54:00.234045Z"},"content_sha256":"673c41ac7070d03d9ff274d87ff07127f5035c9c4f58af9a58608b8c3ed6bac7","schema_version":"1.0","event_id":"sha256:673c41ac7070d03d9ff274d87ff07127f5035c9c4f58af9a58608b8c3ed6bac7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:A2ZP2DATKGPTP4NUUHYDGJ32BX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Parameter estimates in binary black hole collisions using neural networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.HE","gr-qc"],"primary_cat":"astro-ph.IM","authors_text":"F. S. Guzm\\'an, J. A. Gonz\\'alez, M. Carrillo, M. Gracia-Linares","submitted_at":"2016-08-08T15:33:59Z","abstract_excerpt":"We present an algorithm based on artificial neural networks (ANNs), that estimates the mass ratio in a binary black hole collision out of given Gravitational Wave (GW) strains. In this analysis, the ANN is trained with a sample of GW signals generated with numerical simulations. The effectiveness of the algorithm is evaluated with GWs generated also with simulations for given mass ratios unknown to the ANN. We measure the accuracy of the algorithm in the interpolation and extrapolation regimes. We present the results for noise free signals and signals contaminated with Gaussian noise, in order"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.02491","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":"2026-05-18T01:02:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hK+8M4rXKni5aHZo1lEcTuOP/TaJg/WQXi9QnNUVYu7rgobbKe7zp2Xwv/ySq/T0ymEbVsyoKxk8FlQKqPr1AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T18:54:00.234553Z"},"content_sha256":"1241fba4cc1ed01fc156079f4be87ac116e16f3727aa0f2964488ff0b6aae4e7","schema_version":"1.0","event_id":"sha256:1241fba4cc1ed01fc156079f4be87ac116e16f3727aa0f2964488ff0b6aae4e7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/A2ZP2DATKGPTP4NUUHYDGJ32BX/bundle.json","state_url":"https://pith.science/pith/A2ZP2DATKGPTP4NUUHYDGJ32BX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/A2ZP2DATKGPTP4NUUHYDGJ32BX/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":"2026-05-26T18:54:00Z","links":{"resolver":"https://pith.science/pith/A2ZP2DATKGPTP4NUUHYDGJ32BX","bundle":"https://pith.science/pith/A2ZP2DATKGPTP4NUUHYDGJ32BX/bundle.json","state":"https://pith.science/pith/A2ZP2DATKGPTP4NUUHYDGJ32BX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/A2ZP2DATKGPTP4NUUHYDGJ32BX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:A2ZP2DATKGPTP4NUUHYDGJ32BX","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":"919a9b0e6c736b5db754c594651eea2bebc0f9f2c1f973c036b2001933529861","cross_cats_sorted":["astro-ph.HE","gr-qc"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2016-08-08T15:33:59Z","title_canon_sha256":"e89057297e285c3f0176496d4899e0f8b8193656c8077eb17c8b4e3d9c56faab"},"schema_version":"1.0","source":{"id":"1608.02491","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.02491","created_at":"2026-05-18T01:02:22Z"},{"alias_kind":"arxiv_version","alias_value":"1608.02491v1","created_at":"2026-05-18T01:02:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.02491","created_at":"2026-05-18T01:02:22Z"},{"alias_kind":"pith_short_12","alias_value":"A2ZP2DATKGPT","created_at":"2026-05-18T12:30:04Z"},{"alias_kind":"pith_short_16","alias_value":"A2ZP2DATKGPTP4NU","created_at":"2026-05-18T12:30:04Z"},{"alias_kind":"pith_short_8","alias_value":"A2ZP2DAT","created_at":"2026-05-18T12:30:04Z"}],"graph_snapshots":[{"event_id":"sha256:1241fba4cc1ed01fc156079f4be87ac116e16f3727aa0f2964488ff0b6aae4e7","target":"graph","created_at":"2026-05-18T01:02:22Z","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":"We present an algorithm based on artificial neural networks (ANNs), that estimates the mass ratio in a binary black hole collision out of given Gravitational Wave (GW) strains. In this analysis, the ANN is trained with a sample of GW signals generated with numerical simulations. The effectiveness of the algorithm is evaluated with GWs generated also with simulations for given mass ratios unknown to the ANN. We measure the accuracy of the algorithm in the interpolation and extrapolation regimes. We present the results for noise free signals and signals contaminated with Gaussian noise, in order","authors_text":"F. S. Guzm\\'an, J. A. Gonz\\'alez, M. Carrillo, M. Gracia-Linares","cross_cats":["astro-ph.HE","gr-qc"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2016-08-08T15:33:59Z","title":"Parameter estimates in binary black hole collisions using neural networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.02491","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":"sha256:673c41ac7070d03d9ff274d87ff07127f5035c9c4f58af9a58608b8c3ed6bac7","target":"record","created_at":"2026-05-18T01:02:22Z","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":"919a9b0e6c736b5db754c594651eea2bebc0f9f2c1f973c036b2001933529861","cross_cats_sorted":["astro-ph.HE","gr-qc"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2016-08-08T15:33:59Z","title_canon_sha256":"e89057297e285c3f0176496d4899e0f8b8193656c8077eb17c8b4e3d9c56faab"},"schema_version":"1.0","source":{"id":"1608.02491","kind":"arxiv","version":1}},"canonical_sha256":"06b2fd0c13519f37f1b4a1f033277a0df1634b0f8f31f734e621a7ff5f7a1a26","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"06b2fd0c13519f37f1b4a1f033277a0df1634b0f8f31f734e621a7ff5f7a1a26","first_computed_at":"2026-05-18T01:02:22.014532Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:02:22.014532Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wAU/5ft4CHVE4KHXW4nUfJWeNK3/e/zh+GsyXU9sTL7tZN899DKmgteSMTi0uQiVPZCQC+Zfl4eXf1hM/dGsBw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:02:22.015053Z","signed_message":"canonical_sha256_bytes"},"source_id":"1608.02491","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:673c41ac7070d03d9ff274d87ff07127f5035c9c4f58af9a58608b8c3ed6bac7","sha256:1241fba4cc1ed01fc156079f4be87ac116e16f3727aa0f2964488ff0b6aae4e7"],"state_sha256":"b19befb5346367e2809cea71710cd7286fc0a0f964ed08852762f6a28d949048"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m/ljl15pwDoGrOewzG2eRb5QeOoJQWc/npoquRhtDY6sEXXksuwvLPZ3Yvj/V4wXVRSZ+K2wJDAyWL93YU7EAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T18:54:00.237278Z","bundle_sha256":"7139996d720eedcb21137b6ce0afb3fd894655d5af05436fb733a9ee27375738"}}