{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:WBRV3ZB3LENFVLJ25IU4N2PNJ2","short_pith_number":"pith:WBRV3ZB3","canonical_record":{"source":{"id":"1404.6018","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2014-04-24T03:43:16Z","cross_cats_sorted":[],"title_canon_sha256":"9f720a8d9bfe1427811f6a17fd1f09ef50fb89eb913bea7c41137b37ab53b85d","abstract_canon_sha256":"e49a84c24ae295d266e4e1d28f6e7fb03d1dad23d498424e1c0537dfa967c77c"},"schema_version":"1.0"},"canonical_sha256":"b0635de43b591a5aad3aea29c6e9ed4e8f7e4767622c0c69f1d9878d76eb8623","source":{"kind":"arxiv","id":"1404.6018","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1404.6018","created_at":"2026-05-18T02:53:18Z"},{"alias_kind":"arxiv_version","alias_value":"1404.6018v1","created_at":"2026-05-18T02:53:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1404.6018","created_at":"2026-05-18T02:53:18Z"},{"alias_kind":"pith_short_12","alias_value":"WBRV3ZB3LENF","created_at":"2026-05-18T12:28:54Z"},{"alias_kind":"pith_short_16","alias_value":"WBRV3ZB3LENFVLJ2","created_at":"2026-05-18T12:28:54Z"},{"alias_kind":"pith_short_8","alias_value":"WBRV3ZB3","created_at":"2026-05-18T12:28:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:WBRV3ZB3LENFVLJ25IU4N2PNJ2","target":"record","payload":{"canonical_record":{"source":{"id":"1404.6018","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2014-04-24T03:43:16Z","cross_cats_sorted":[],"title_canon_sha256":"9f720a8d9bfe1427811f6a17fd1f09ef50fb89eb913bea7c41137b37ab53b85d","abstract_canon_sha256":"e49a84c24ae295d266e4e1d28f6e7fb03d1dad23d498424e1c0537dfa967c77c"},"schema_version":"1.0"},"canonical_sha256":"b0635de43b591a5aad3aea29c6e9ed4e8f7e4767622c0c69f1d9878d76eb8623","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:53:18.648992Z","signature_b64":"nzmoxt7sw2OSwoiFJ5068YWR5Ob0dFC5GyqwEsY0VxyEKYsoVkHv30nAmH22k139QgR4zkMDh4zOqPuqc1wtAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b0635de43b591a5aad3aea29c6e9ed4e8f7e4767622c0c69f1d9878d76eb8623","last_reissued_at":"2026-05-18T02:53:18.648396Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:53:18.648396Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1404.6018","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":"2026-05-18T02:53:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F/1LW6D6e6YRsvowqwz4Z6cT0TOL3PU9/r+toe4SYfu8A0/PcQ21iORq3yVjYpRboo/l0SmqeltMU83BbUeVAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T06:12:10.234507Z"},"content_sha256":"010f28af1870cbda664f8d669f0e181dff245893682dce242925f3dc94d9d7d2","schema_version":"1.0","event_id":"sha256:010f28af1870cbda664f8d669f0e181dff245893682dce242925f3dc94d9d7d2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:WBRV3ZB3LENFVLJ25IU4N2PNJ2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ASERA: A Spectrum Eye Recognition Assistant for Quasar Spectra","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Hailong Yuan, Haotong Zhang, Yajuan Lei, Yanxia Zhang, Yiqiao Dong, Yongheng Zhao","submitted_at":"2014-04-24T03:43:16Z","abstract_excerpt":"Spectral type recognition is an important and fundamental step of large sky survey projects in the data reduction for further scientific research, like parameter measurement and statistic work. It tends out to be a huge job to manually inspect the low quality spectra produced from massive spectroscopic survey, where the automatic pipeline may not provide confident type classification results. In order to improve the efficiency and effectiveness of spectral classification, we develop a semi-automated toolkit named ASERA, A Spectrum Eye Recognition Assistant. The main purpose of ASERA is to help"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1404.6018","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":"2026-05-18T02:53:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/dr3IMhLDNhtT5Z1XKfeW7eP0WrpLEwnv9xhf+0zGNgNenJtEvYTifmzENybbLNg8m7ArkHWQah7qovOyfY0Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T06:12:10.234927Z"},"content_sha256":"989c8334af15b8e1ef1046d16206b05b66e6f3a9563e66bf8864baa448d59e75","schema_version":"1.0","event_id":"sha256:989c8334af15b8e1ef1046d16206b05b66e6f3a9563e66bf8864baa448d59e75"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WBRV3ZB3LENFVLJ25IU4N2PNJ2/bundle.json","state_url":"https://pith.science/pith/WBRV3ZB3LENFVLJ25IU4N2PNJ2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WBRV3ZB3LENFVLJ25IU4N2PNJ2/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":"2026-05-27T06:12:10Z","links":{"resolver":"https://pith.science/pith/WBRV3ZB3LENFVLJ25IU4N2PNJ2","bundle":"https://pith.science/pith/WBRV3ZB3LENFVLJ25IU4N2PNJ2/bundle.json","state":"https://pith.science/pith/WBRV3ZB3LENFVLJ25IU4N2PNJ2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WBRV3ZB3LENFVLJ25IU4N2PNJ2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:WBRV3ZB3LENFVLJ25IU4N2PNJ2","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":"e49a84c24ae295d266e4e1d28f6e7fb03d1dad23d498424e1c0537dfa967c77c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2014-04-24T03:43:16Z","title_canon_sha256":"9f720a8d9bfe1427811f6a17fd1f09ef50fb89eb913bea7c41137b37ab53b85d"},"schema_version":"1.0","source":{"id":"1404.6018","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1404.6018","created_at":"2026-05-18T02:53:18Z"},{"alias_kind":"arxiv_version","alias_value":"1404.6018v1","created_at":"2026-05-18T02:53:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1404.6018","created_at":"2026-05-18T02:53:18Z"},{"alias_kind":"pith_short_12","alias_value":"WBRV3ZB3LENF","created_at":"2026-05-18T12:28:54Z"},{"alias_kind":"pith_short_16","alias_value":"WBRV3ZB3LENFVLJ2","created_at":"2026-05-18T12:28:54Z"},{"alias_kind":"pith_short_8","alias_value":"WBRV3ZB3","created_at":"2026-05-18T12:28:54Z"}],"graph_snapshots":[{"event_id":"sha256:989c8334af15b8e1ef1046d16206b05b66e6f3a9563e66bf8864baa448d59e75","target":"graph","created_at":"2026-05-18T02:53:18Z","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":"Spectral type recognition is an important and fundamental step of large sky survey projects in the data reduction for further scientific research, like parameter measurement and statistic work. It tends out to be a huge job to manually inspect the low quality spectra produced from massive spectroscopic survey, where the automatic pipeline may not provide confident type classification results. In order to improve the efficiency and effectiveness of spectral classification, we develop a semi-automated toolkit named ASERA, A Spectrum Eye Recognition Assistant. The main purpose of ASERA is to help","authors_text":"Hailong Yuan, Haotong Zhang, Yajuan Lei, Yanxia Zhang, Yiqiao Dong, Yongheng Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2014-04-24T03:43:16Z","title":"ASERA: A Spectrum Eye Recognition Assistant for Quasar Spectra"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1404.6018","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":"sha256:010f28af1870cbda664f8d669f0e181dff245893682dce242925f3dc94d9d7d2","target":"record","created_at":"2026-05-18T02:53:18Z","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":"e49a84c24ae295d266e4e1d28f6e7fb03d1dad23d498424e1c0537dfa967c77c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2014-04-24T03:43:16Z","title_canon_sha256":"9f720a8d9bfe1427811f6a17fd1f09ef50fb89eb913bea7c41137b37ab53b85d"},"schema_version":"1.0","source":{"id":"1404.6018","kind":"arxiv","version":1}},"canonical_sha256":"b0635de43b591a5aad3aea29c6e9ed4e8f7e4767622c0c69f1d9878d76eb8623","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b0635de43b591a5aad3aea29c6e9ed4e8f7e4767622c0c69f1d9878d76eb8623","first_computed_at":"2026-05-18T02:53:18.648396Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:53:18.648396Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nzmoxt7sw2OSwoiFJ5068YWR5Ob0dFC5GyqwEsY0VxyEKYsoVkHv30nAmH22k139QgR4zkMDh4zOqPuqc1wtAg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:53:18.648992Z","signed_message":"canonical_sha256_bytes"},"source_id":"1404.6018","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:010f28af1870cbda664f8d669f0e181dff245893682dce242925f3dc94d9d7d2","sha256:989c8334af15b8e1ef1046d16206b05b66e6f3a9563e66bf8864baa448d59e75"],"state_sha256":"a740737fea20d1a304ce1e67d8c97cd400817046ad0dd6203b117c8376473fec"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TTE+LKUH2VDbwS9chMH6ICJrhkNZFo7mm7qTWriPSnSei1LqXurpznYSYzb+d4ChCS8PxiSonIEECKuMXa73Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T06:12:10.237464Z","bundle_sha256":"4dd04bbed51ce5eb0950ae3a82f515d24bf5406783c55ecd482ef3dfef5522a4"}}