{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:F7YXCVW5M3L5SLIR7ACBU2UUWU","short_pith_number":"pith:F7YXCVW5","canonical_record":{"source":{"id":"1811.03639","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2018-11-08T19:01:03Z","cross_cats_sorted":[],"title_canon_sha256":"ddf792f5ba2b22b7823b5fe6494c2c631450299a5ab18f874e540ee17cf6b687","abstract_canon_sha256":"66f0b6b83242bf9ab3311240d6633955e39a4e68b98267eb4304be4ebecb123c"},"schema_version":"1.0"},"canonical_sha256":"2ff17156dd66d7d92d11f8041a6a94b511bf0390bd3f4d8828ccae88a37ce57c","source":{"kind":"arxiv","id":"1811.03639","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.03639","created_at":"2026-07-05T00:00:13Z"},{"alias_kind":"arxiv_version","alias_value":"1811.03639v1","created_at":"2026-07-05T00:00:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.03639","created_at":"2026-07-05T00:00:13Z"},{"alias_kind":"pith_short_12","alias_value":"F7YXCVW5M3L5","created_at":"2026-07-05T00:00:13Z"},{"alias_kind":"pith_short_16","alias_value":"F7YXCVW5M3L5SLIR","created_at":"2026-07-05T00:00:13Z"},{"alias_kind":"pith_short_8","alias_value":"F7YXCVW5","created_at":"2026-07-05T00:00:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:F7YXCVW5M3L5SLIR7ACBU2UUWU","target":"record","payload":{"canonical_record":{"source":{"id":"1811.03639","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2018-11-08T19:01:03Z","cross_cats_sorted":[],"title_canon_sha256":"ddf792f5ba2b22b7823b5fe6494c2c631450299a5ab18f874e540ee17cf6b687","abstract_canon_sha256":"66f0b6b83242bf9ab3311240d6633955e39a4e68b98267eb4304be4ebecb123c"},"schema_version":"1.0"},"canonical_sha256":"2ff17156dd66d7d92d11f8041a6a94b511bf0390bd3f4d8828ccae88a37ce57c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:00:13.241577Z","signature_b64":"/U6kVdqIG5MFB6uekr/jaQknTZQXwAkCPcT/8ohLbmUDRPYtGewSiS6srZlheNnpkz7PRhCryD373m4lGvO3BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2ff17156dd66d7d92d11f8041a6a94b511bf0390bd3f4d8828ccae88a37ce57c","last_reissued_at":"2026-07-05T00:00:13.241158Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:00:13.241158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.03639","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":"2026-07-05T00:00:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w8I23KSXrH7/x7DxWkQE8H9uul8IekMbyF+j+si74tkw4UWRLyYNCbc9QKVK3wZjojEOl0d5M3ighWTI0YZPBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T12:22:03.596906Z"},"content_sha256":"9d74e9865b81a5b8740845369439faaaa79a6eaabb25be2cf7496014b8128f26","schema_version":"1.0","event_id":"sha256:9d74e9865b81a5b8740845369439faaaa79a6eaabb25be2cf7496014b8128f26"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:F7YXCVW5M3L5SLIR7ACBU2UUWU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning Applied to the Asteroseismic Modeling of Stars with Coherent Oscillation Modes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.SR","authors_text":"Conny Aerts, Luc Hendriks","submitted_at":"2018-11-08T19:01:03Z","abstract_excerpt":"We develop a novel method based on machine learning principles to achieve optimal initiation of CPU-intensive computations for forward asteroseismic modeling in a multi-D parameter space. A deep neural network is trained on a precomputed asteroseismology grid containing about 62 million coherent oscillation-mode frequencies derived from stellar evolution models. These models are representative of the core-hydrogen burning stage of intermediate-mass and high-mass stars. The evolution models constitute a 6D parameter space and their predicted low-degree pressure- and gravity-mode oscillations ar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.03639","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/1811.03639/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":"2026-07-05T00:00:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+1nVUaUZMSWiBTxFT+tYGRcODfNVRyhgHxuj7TQ6LOUqXTo7NBZMqwQpNCQ3bpEyo0eKeFCSQPqvUY992uzPCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T12:22:03.597951Z"},"content_sha256":"439e52a661b16d4acab35e66b08cc5874dd349c48fdd14814c7a6105d619ace9","schema_version":"1.0","event_id":"sha256:439e52a661b16d4acab35e66b08cc5874dd349c48fdd14814c7a6105d619ace9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F7YXCVW5M3L5SLIR7ACBU2UUWU/bundle.json","state_url":"https://pith.science/pith/F7YXCVW5M3L5SLIR7ACBU2UUWU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F7YXCVW5M3L5SLIR7ACBU2UUWU/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":"2026-08-11T12:22:03Z","links":{"resolver":"https://pith.science/pith/F7YXCVW5M3L5SLIR7ACBU2UUWU","bundle":"https://pith.science/pith/F7YXCVW5M3L5SLIR7ACBU2UUWU/bundle.json","state":"https://pith.science/pith/F7YXCVW5M3L5SLIR7ACBU2UUWU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F7YXCVW5M3L5SLIR7ACBU2UUWU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:F7YXCVW5M3L5SLIR7ACBU2UUWU","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":"66f0b6b83242bf9ab3311240d6633955e39a4e68b98267eb4304be4ebecb123c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2018-11-08T19:01:03Z","title_canon_sha256":"ddf792f5ba2b22b7823b5fe6494c2c631450299a5ab18f874e540ee17cf6b687"},"schema_version":"1.0","source":{"id":"1811.03639","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.03639","created_at":"2026-07-05T00:00:13Z"},{"alias_kind":"arxiv_version","alias_value":"1811.03639v1","created_at":"2026-07-05T00:00:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.03639","created_at":"2026-07-05T00:00:13Z"},{"alias_kind":"pith_short_12","alias_value":"F7YXCVW5M3L5","created_at":"2026-07-05T00:00:13Z"},{"alias_kind":"pith_short_16","alias_value":"F7YXCVW5M3L5SLIR","created_at":"2026-07-05T00:00:13Z"},{"alias_kind":"pith_short_8","alias_value":"F7YXCVW5","created_at":"2026-07-05T00:00:13Z"}],"graph_snapshots":[{"event_id":"sha256:439e52a661b16d4acab35e66b08cc5874dd349c48fdd14814c7a6105d619ace9","target":"graph","created_at":"2026-07-05T00:00:13Z","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/1811.03639/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We develop a novel method based on machine learning principles to achieve optimal initiation of CPU-intensive computations for forward asteroseismic modeling in a multi-D parameter space. A deep neural network is trained on a precomputed asteroseismology grid containing about 62 million coherent oscillation-mode frequencies derived from stellar evolution models. These models are representative of the core-hydrogen burning stage of intermediate-mass and high-mass stars. The evolution models constitute a 6D parameter space and their predicted low-degree pressure- and gravity-mode oscillations ar","authors_text":"Conny Aerts, Luc Hendriks","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2018-11-08T19:01:03Z","title":"Deep Learning Applied to the Asteroseismic Modeling of Stars with Coherent Oscillation Modes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.03639","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":"sha256:9d74e9865b81a5b8740845369439faaaa79a6eaabb25be2cf7496014b8128f26","target":"record","created_at":"2026-07-05T00:00:13Z","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":"66f0b6b83242bf9ab3311240d6633955e39a4e68b98267eb4304be4ebecb123c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2018-11-08T19:01:03Z","title_canon_sha256":"ddf792f5ba2b22b7823b5fe6494c2c631450299a5ab18f874e540ee17cf6b687"},"schema_version":"1.0","source":{"id":"1811.03639","kind":"arxiv","version":1}},"canonical_sha256":"2ff17156dd66d7d92d11f8041a6a94b511bf0390bd3f4d8828ccae88a37ce57c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ff17156dd66d7d92d11f8041a6a94b511bf0390bd3f4d8828ccae88a37ce57c","first_computed_at":"2026-07-05T00:00:13.241158Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:00:13.241158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/U6kVdqIG5MFB6uekr/jaQknTZQXwAkCPcT/8ohLbmUDRPYtGewSiS6srZlheNnpkz7PRhCryD373m4lGvO3BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T00:00:13.241577Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.03639","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9d74e9865b81a5b8740845369439faaaa79a6eaabb25be2cf7496014b8128f26","sha256:439e52a661b16d4acab35e66b08cc5874dd349c48fdd14814c7a6105d619ace9"],"state_sha256":"b092ba50c67e8d0d37bcbef82e7b97dae3b7c0ce17693fa3f7a4fef54a70f456"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YTSZRsMRDwU33a/fqSVWPgZpXAIqt8R0ucJ/rxfhMj5w3D1dO0Oo/c/UnuEXo8UC1PeKLDtotHzXQwEuP+/GAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T12:22:03.605809Z","bundle_sha256":"aa8841f27c286a842076f8f2a5bec5876541b1132cce95f9a0abcb785c996562"}}