{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:YFAXV2NQFB73C4KQUJB7QH3DFR","short_pith_number":"pith:YFAXV2NQ","canonical_record":{"source":{"id":"1906.09695","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2019-06-24T03:00:01Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"f338005cd17625884722c487fb0c6d18d28bb80d992bb2ec97641a7dfc33ac25","abstract_canon_sha256":"d2a53d39cfd5628ca3387ca5aab6b12e8efeb697dd5165bc6c8847b56f355ac5"},"schema_version":"1.0"},"canonical_sha256":"c1417ae9b0287fb17150a243f81f632c4c522a8656c2221653e2f5790037cc0b","source":{"kind":"arxiv","id":"1906.09695","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.09695","created_at":"2026-07-04T23:55:45Z"},{"alias_kind":"arxiv_version","alias_value":"1906.09695v1","created_at":"2026-07-04T23:55:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.09695","created_at":"2026-07-04T23:55:45Z"},{"alias_kind":"pith_short_12","alias_value":"YFAXV2NQFB73","created_at":"2026-07-04T23:55:45Z"},{"alias_kind":"pith_short_16","alias_value":"YFAXV2NQFB73C4KQ","created_at":"2026-07-04T23:55:45Z"},{"alias_kind":"pith_short_8","alias_value":"YFAXV2NQ","created_at":"2026-07-04T23:55:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:YFAXV2NQFB73C4KQUJB7QH3DFR","target":"record","payload":{"canonical_record":{"source":{"id":"1906.09695","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2019-06-24T03:00:01Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"f338005cd17625884722c487fb0c6d18d28bb80d992bb2ec97641a7dfc33ac25","abstract_canon_sha256":"d2a53d39cfd5628ca3387ca5aab6b12e8efeb697dd5165bc6c8847b56f355ac5"},"schema_version":"1.0"},"canonical_sha256":"c1417ae9b0287fb17150a243f81f632c4c522a8656c2221653e2f5790037cc0b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:55:45.371177Z","signature_b64":"S1Ih7Pgm+J4wZuwCXwvQ1AkUvuMOMl4hecdeWsDNVKHTyc6KggrmIFzd1Q893ZT/99Vgcru+Lip+6F5lxbBCBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c1417ae9b0287fb17150a243f81f632c4c522a8656c2221653e2f5790037cc0b","last_reissued_at":"2026-07-04T23:55:45.370702Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:55:45.370702Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.09695","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":"2026-07-04T23:55:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EA3vwl4Kex6K/ihVQ1XaldEfvPdvodg5LPdBIHIzDjI9cX/LnmACdC7zfAc35ciLNSNsyRtO8lpXvFgViOdcBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T18:09:08.054826Z"},"content_sha256":"b9a74e63fb236850beae9a5d004f23c8f032636112620f833406595825a576eb","schema_version":"1.0","event_id":"sha256:b9a74e63fb236850beae9a5d004f23c8f032636112620f833406595825a576eb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:YFAXV2NQFB73C4KQUJB7QH3DFR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Machine Learning Regression of stellar effective temperatures in the second $Gaia$ Data Release","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.SR","authors_text":"Dongwei Fan, Jifeng Liu, Song Wang, Yu Bai, Zhongrui Bai","submitted_at":"2019-06-24T03:00:01Z","abstract_excerpt":"This paper reports on the application of the supervised machine-learning algorithm to the stellar effective temperature regression for the second $Gaia$ data release, based on the combination of the stars in four spectroscopic surveys: Large Sky Area Multi-Object Fiber Spectroscopic Telescope, Sloan Extension for Galactic Understanding and Exploration, the Apache Point Observatory Galactic Evolution Experiment and the RAdial Velocity Extension. This combination, about four million stars, enables us to construct one of the largest training sample for the regression, and further predict reliable"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.09695","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/1906.09695/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":"2026-07-04T23:55:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9PbB886tJ5ohVA95frqJkAXNAmLnLkdOatAMm4SV3HE+YS2nv+iu7aeLIKucEusf2owI6eq7OqPfNH1/dXVdDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T18:09:08.055341Z"},"content_sha256":"1f27bb906aa5a9a2d5de91b2b1c89fbca0b5381e4189762bb19e5ceb3e3f6e45","schema_version":"1.0","event_id":"sha256:1f27bb906aa5a9a2d5de91b2b1c89fbca0b5381e4189762bb19e5ceb3e3f6e45"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YFAXV2NQFB73C4KQUJB7QH3DFR/bundle.json","state_url":"https://pith.science/pith/YFAXV2NQFB73C4KQUJB7QH3DFR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YFAXV2NQFB73C4KQUJB7QH3DFR/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":"2026-08-06T18:09:08Z","links":{"resolver":"https://pith.science/pith/YFAXV2NQFB73C4KQUJB7QH3DFR","bundle":"https://pith.science/pith/YFAXV2NQFB73C4KQUJB7QH3DFR/bundle.json","state":"https://pith.science/pith/YFAXV2NQFB73C4KQUJB7QH3DFR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YFAXV2NQFB73C4KQUJB7QH3DFR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:YFAXV2NQFB73C4KQUJB7QH3DFR","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":"d2a53d39cfd5628ca3387ca5aab6b12e8efeb697dd5165bc6c8847b56f355ac5","cross_cats_sorted":["astro-ph.IM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2019-06-24T03:00:01Z","title_canon_sha256":"f338005cd17625884722c487fb0c6d18d28bb80d992bb2ec97641a7dfc33ac25"},"schema_version":"1.0","source":{"id":"1906.09695","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.09695","created_at":"2026-07-04T23:55:45Z"},{"alias_kind":"arxiv_version","alias_value":"1906.09695v1","created_at":"2026-07-04T23:55:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.09695","created_at":"2026-07-04T23:55:45Z"},{"alias_kind":"pith_short_12","alias_value":"YFAXV2NQFB73","created_at":"2026-07-04T23:55:45Z"},{"alias_kind":"pith_short_16","alias_value":"YFAXV2NQFB73C4KQ","created_at":"2026-07-04T23:55:45Z"},{"alias_kind":"pith_short_8","alias_value":"YFAXV2NQ","created_at":"2026-07-04T23:55:45Z"}],"graph_snapshots":[{"event_id":"sha256:1f27bb906aa5a9a2d5de91b2b1c89fbca0b5381e4189762bb19e5ceb3e3f6e45","target":"graph","created_at":"2026-07-04T23:55:45Z","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/1906.09695/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper reports on the application of the supervised machine-learning algorithm to the stellar effective temperature regression for the second $Gaia$ data release, based on the combination of the stars in four spectroscopic surveys: Large Sky Area Multi-Object Fiber Spectroscopic Telescope, Sloan Extension for Galactic Understanding and Exploration, the Apache Point Observatory Galactic Evolution Experiment and the RAdial Velocity Extension. This combination, about four million stars, enables us to construct one of the largest training sample for the regression, and further predict reliable","authors_text":"Dongwei Fan, Jifeng Liu, Song Wang, Yu Bai, Zhongrui Bai","cross_cats":["astro-ph.IM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2019-06-24T03:00:01Z","title":"Machine Learning Regression of stellar effective temperatures in the second $Gaia$ Data Release"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.09695","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:b9a74e63fb236850beae9a5d004f23c8f032636112620f833406595825a576eb","target":"record","created_at":"2026-07-04T23:55:45Z","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":"d2a53d39cfd5628ca3387ca5aab6b12e8efeb697dd5165bc6c8847b56f355ac5","cross_cats_sorted":["astro-ph.IM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2019-06-24T03:00:01Z","title_canon_sha256":"f338005cd17625884722c487fb0c6d18d28bb80d992bb2ec97641a7dfc33ac25"},"schema_version":"1.0","source":{"id":"1906.09695","kind":"arxiv","version":1}},"canonical_sha256":"c1417ae9b0287fb17150a243f81f632c4c522a8656c2221653e2f5790037cc0b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c1417ae9b0287fb17150a243f81f632c4c522a8656c2221653e2f5790037cc0b","first_computed_at":"2026-07-04T23:55:45.370702Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:55:45.370702Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"S1Ih7Pgm+J4wZuwCXwvQ1AkUvuMOMl4hecdeWsDNVKHTyc6KggrmIFzd1Q893ZT/99Vgcru+Lip+6F5lxbBCBQ==","signature_status":"signed_v1","signed_at":"2026-07-04T23:55:45.371177Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.09695","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b9a74e63fb236850beae9a5d004f23c8f032636112620f833406595825a576eb","sha256:1f27bb906aa5a9a2d5de91b2b1c89fbca0b5381e4189762bb19e5ceb3e3f6e45"],"state_sha256":"c3bbe7867c411f802b41106d8291f79ee4162de65ad8051ff3dcfe2d80fe3137"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FT1O9RiveNWeIaK/dbdm2M3cSaWcKvWUPqkWEuBamB8sgOyKjEqRMoW/p0ueCsw4AyNyciIIwslfNm4TpitkBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T18:09:08.061758Z","bundle_sha256":"51ac435cccd16da339351e809e2c25f001bae4b264675b75dbc9741cf9f05680"}}