{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:R3BA4GHVEMY2O7D4UVX2RGHLTE","short_pith_number":"pith:R3BA4GHV","canonical_record":{"source":{"id":"1901.08003","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2019-01-23T17:05:50Z","cross_cats_sorted":[],"title_canon_sha256":"fa4655a16986212c0547fc4d9cf5822960100127b549b7f4e12d1b49fbcb5360","abstract_canon_sha256":"97dc49730dba1bd07e1d37e8be5b3c73ad44518183999ab91e2eac5162311223"},"schema_version":"1.0"},"canonical_sha256":"8ec20e18f52331a77c7ca56fa898eb9901c6436568758fb5d9317098fdc1df01","source":{"kind":"arxiv","id":"1901.08003","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.08003","created_at":"2026-05-17T23:55:39Z"},{"alias_kind":"arxiv_version","alias_value":"1901.08003v1","created_at":"2026-05-17T23:55:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.08003","created_at":"2026-05-17T23:55:39Z"},{"alias_kind":"pith_short_12","alias_value":"R3BA4GHVEMY2","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"R3BA4GHVEMY2O7D4","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"R3BA4GHV","created_at":"2026-05-18T12:33:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:R3BA4GHVEMY2O7D4UVX2RGHLTE","target":"record","payload":{"canonical_record":{"source":{"id":"1901.08003","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2019-01-23T17:05:50Z","cross_cats_sorted":[],"title_canon_sha256":"fa4655a16986212c0547fc4d9cf5822960100127b549b7f4e12d1b49fbcb5360","abstract_canon_sha256":"97dc49730dba1bd07e1d37e8be5b3c73ad44518183999ab91e2eac5162311223"},"schema_version":"1.0"},"canonical_sha256":"8ec20e18f52331a77c7ca56fa898eb9901c6436568758fb5d9317098fdc1df01","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:55:39.339491Z","signature_b64":"1kwqt3wClVRG8aqHNr8t/LKVhJF1If5A7gIy+b5NbYqL5OLbP1KYaAUYpgKAkFIH+hvewZdyw2EkGOpF7K++DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8ec20e18f52331a77c7ca56fa898eb9901c6436568758fb5d9317098fdc1df01","last_reissued_at":"2026-05-17T23:55:39.338974Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:55:39.338974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1901.08003","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":"2026-05-17T23:55:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"21i7oxm0a776hoejY2U+ILPryE0/KDOL+cx5WOg38a+QJzHuYAUNLF95Y1iu4RW2v8GwwK5ZwsdduZ/CcoJFAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T16:27:30.835151Z"},"content_sha256":"6b406f2e48e77e62371fe0a9700217b98f6b550875dab8a7938f7761e3c41c6a","schema_version":"1.0","event_id":"sha256:6b406f2e48e77e62371fe0a9700217b98f6b550875dab8a7938f7761e3c41c6a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:R3BA4GHVEMY2O7D4UVX2RGHLTE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Autoregressive Times Series Methods for Time Domain Astronomy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Eric D. Feigelson, Gabriel A. Caceres, G. Jogesh Babu","submitted_at":"2019-01-23T17:05:50Z","abstract_excerpt":"Celestial objects exhibit a wide range of variability in brightness at different wavebands. Surprisingly, the most common methods for characterizing time series in statistics -- parametric autoregressive modeling -- is rarely used to interpret astronomical light curves. We review standard ARMA, ARIMA and ARFIMA (autoregressive moving average fractionally integrated) models that treat short-memory autocorrelation, long-memory $1/f^\\alpha$ `red noise', and nonstationary trends. Though designed for evenly spaced time series, moderately irregular cadences can be treated as evenly-spaced time serie"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.08003","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":"2026-05-17T23:55:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AdTCxlceIWhXRxitAjiWYVzn8Ss/2b6z/4Yrf1t2Eg2aiDCXdWGnpe60oxT8J0/AzXvVcbZaeC5x3LWILd1RBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T16:27:30.835522Z"},"content_sha256":"68baf76d058008f046d5fd42ddcafd37322420061148edeea6d49eb80de90a04","schema_version":"1.0","event_id":"sha256:68baf76d058008f046d5fd42ddcafd37322420061148edeea6d49eb80de90a04"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/R3BA4GHVEMY2O7D4UVX2RGHLTE/bundle.json","state_url":"https://pith.science/pith/R3BA4GHVEMY2O7D4UVX2RGHLTE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/R3BA4GHVEMY2O7D4UVX2RGHLTE/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":"2026-06-23T16:27:30Z","links":{"resolver":"https://pith.science/pith/R3BA4GHVEMY2O7D4UVX2RGHLTE","bundle":"https://pith.science/pith/R3BA4GHVEMY2O7D4UVX2RGHLTE/bundle.json","state":"https://pith.science/pith/R3BA4GHVEMY2O7D4UVX2RGHLTE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/R3BA4GHVEMY2O7D4UVX2RGHLTE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:R3BA4GHVEMY2O7D4UVX2RGHLTE","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":"97dc49730dba1bd07e1d37e8be5b3c73ad44518183999ab91e2eac5162311223","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2019-01-23T17:05:50Z","title_canon_sha256":"fa4655a16986212c0547fc4d9cf5822960100127b549b7f4e12d1b49fbcb5360"},"schema_version":"1.0","source":{"id":"1901.08003","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.08003","created_at":"2026-05-17T23:55:39Z"},{"alias_kind":"arxiv_version","alias_value":"1901.08003v1","created_at":"2026-05-17T23:55:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.08003","created_at":"2026-05-17T23:55:39Z"},{"alias_kind":"pith_short_12","alias_value":"R3BA4GHVEMY2","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"R3BA4GHVEMY2O7D4","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"R3BA4GHV","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:68baf76d058008f046d5fd42ddcafd37322420061148edeea6d49eb80de90a04","target":"graph","created_at":"2026-05-17T23:55:39Z","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":"Celestial objects exhibit a wide range of variability in brightness at different wavebands. Surprisingly, the most common methods for characterizing time series in statistics -- parametric autoregressive modeling -- is rarely used to interpret astronomical light curves. We review standard ARMA, ARIMA and ARFIMA (autoregressive moving average fractionally integrated) models that treat short-memory autocorrelation, long-memory $1/f^\\alpha$ `red noise', and nonstationary trends. Though designed for evenly spaced time series, moderately irregular cadences can be treated as evenly-spaced time serie","authors_text":"Eric D. Feigelson, Gabriel A. Caceres, G. Jogesh Babu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2019-01-23T17:05:50Z","title":"Autoregressive Times Series Methods for Time Domain Astronomy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.08003","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":"sha256:6b406f2e48e77e62371fe0a9700217b98f6b550875dab8a7938f7761e3c41c6a","target":"record","created_at":"2026-05-17T23:55:39Z","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":"97dc49730dba1bd07e1d37e8be5b3c73ad44518183999ab91e2eac5162311223","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2019-01-23T17:05:50Z","title_canon_sha256":"fa4655a16986212c0547fc4d9cf5822960100127b549b7f4e12d1b49fbcb5360"},"schema_version":"1.0","source":{"id":"1901.08003","kind":"arxiv","version":1}},"canonical_sha256":"8ec20e18f52331a77c7ca56fa898eb9901c6436568758fb5d9317098fdc1df01","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8ec20e18f52331a77c7ca56fa898eb9901c6436568758fb5d9317098fdc1df01","first_computed_at":"2026-05-17T23:55:39.338974Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:55:39.338974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1kwqt3wClVRG8aqHNr8t/LKVhJF1If5A7gIy+b5NbYqL5OLbP1KYaAUYpgKAkFIH+hvewZdyw2EkGOpF7K++DA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:55:39.339491Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.08003","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b406f2e48e77e62371fe0a9700217b98f6b550875dab8a7938f7761e3c41c6a","sha256:68baf76d058008f046d5fd42ddcafd37322420061148edeea6d49eb80de90a04"],"state_sha256":"ac11e7e6f4d9ef457f7de473452b97877fc5e90424a135691db990eef4890296"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hJlxCRK6w3eUbkffMxp+4b3PdKGFUIZJerXt3tNaLVpVAId2LXfpoWHXBiUXke4pKdKMpRJwA9fUFIEHhzbbDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-23T16:27:30.837491Z","bundle_sha256":"d34b1e6a9b34deae38423006333ddd9061908016b29b4d21b7a587a17b20cd04"}}