{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:AE4MSIUQNPNY6Z7B6FM2AV2N3W","short_pith_number":"pith:AE4MSIUQ","canonical_record":{"source":{"id":"2406.04248","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2024-06-06T16:50:33Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"e857c171f248a181b5bdb6d1d12555f604e8b209fdbc76b8da4d702e40ef73aa","abstract_canon_sha256":"33a3a8853049942107af31bc18bacf7b3126496861d30e647023df10984041de"},"schema_version":"1.0"},"canonical_sha256":"0138c922906bdb8f67e1f159a0574dddb74a34ab82c4054613058f59bfbcb08d","source":{"kind":"arxiv","id":"2406.04248","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.04248","created_at":"2026-07-05T08:28:28Z"},{"alias_kind":"arxiv_version","alias_value":"2406.04248v1","created_at":"2026-07-05T08:28:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.04248","created_at":"2026-07-05T08:28:28Z"},{"alias_kind":"pith_short_12","alias_value":"AE4MSIUQNPNY","created_at":"2026-07-05T08:28:28Z"},{"alias_kind":"pith_short_16","alias_value":"AE4MSIUQNPNY6Z7B","created_at":"2026-07-05T08:28:28Z"},{"alias_kind":"pith_short_8","alias_value":"AE4MSIUQ","created_at":"2026-07-05T08:28:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:AE4MSIUQNPNY6Z7B6FM2AV2N3W","target":"record","payload":{"canonical_record":{"source":{"id":"2406.04248","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2024-06-06T16:50:33Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"e857c171f248a181b5bdb6d1d12555f604e8b209fdbc76b8da4d702e40ef73aa","abstract_canon_sha256":"33a3a8853049942107af31bc18bacf7b3126496861d30e647023df10984041de"},"schema_version":"1.0"},"canonical_sha256":"0138c922906bdb8f67e1f159a0574dddb74a34ab82c4054613058f59bfbcb08d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:28:28.480144Z","signature_b64":"BALXSi6udsg0BlK6Q3GeudLpjrYDklLm1MyGugwWCyArVFv9bVfHO2kshox0ppQ9gxE32S9ieuBbiAjfDXN4DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0138c922906bdb8f67e1f159a0574dddb74a34ab82c4054613058f59bfbcb08d","last_reissued_at":"2026-07-05T08:28:28.479740Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:28:28.479740Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.04248","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":"2026-07-05T08:28:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8o3YS9tz3ypuby99D6BGSPHUEnJH5QYlJ9bvPxUPchWSEi5kq08/bWyNXU5A5ppt2bFaFvLPpskCJGevNmiAAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T21:41:08.567329Z"},"content_sha256":"df109b4e889b0b2556a3ee166fcbef12d48ade3e21cc46f9834c6f705e0d10ba","schema_version":"1.0","event_id":"sha256:df109b4e889b0b2556a3ee166fcbef12d48ade3e21cc46f9834c6f705e0d10ba"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:AE4MSIUQNPNY6Z7B6FM2AV2N3W","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An adaptive parameter estimator for poor-quality spectral data of white dwarfs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.SR","authors_text":"Duo Xie, Jiangchuan Zhang, Meng Liu, Xiaoming Kong, Yude Bu, Zhenping Yi","submitted_at":"2024-06-06T16:50:33Z","abstract_excerpt":"White dwarfs represent the end stage for 97% of stars, making precise parameter measurement crucial for understanding stellar evolution. Traditional estimation methods involve fitting spectra or photometry, which require high-quality data. In recent years, machine learning has played a crucial role in processing spectral data due to its speed, automation, and accuracy. However, two common issues have been identified. First, most studies rely on data with high signal-to-noise ratios (SNR > 10), leaving many poor-quality datasets underutilized. Second, existing machine learning models, primarily"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.04248","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/2406.04248/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":"2026-07-05T08:28:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fqiyXIT4p8gJfPni5iOCLCMc50AB+f9DA1lx7dlKewZBiaU1kFH6Lp0KyIdSYjmPCyHdI9jDhE7sUGxIyhKWAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T21:41:08.568009Z"},"content_sha256":"523fdc08a5c689e880d1f1241a0318843d5b4aa4bf56843bc41f749448d04b1f","schema_version":"1.0","event_id":"sha256:523fdc08a5c689e880d1f1241a0318843d5b4aa4bf56843bc41f749448d04b1f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AE4MSIUQNPNY6Z7B6FM2AV2N3W/bundle.json","state_url":"https://pith.science/pith/AE4MSIUQNPNY6Z7B6FM2AV2N3W/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AE4MSIUQNPNY6Z7B6FM2AV2N3W/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":"2026-08-15T21:41:08Z","links":{"resolver":"https://pith.science/pith/AE4MSIUQNPNY6Z7B6FM2AV2N3W","bundle":"https://pith.science/pith/AE4MSIUQNPNY6Z7B6FM2AV2N3W/bundle.json","state":"https://pith.science/pith/AE4MSIUQNPNY6Z7B6FM2AV2N3W/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AE4MSIUQNPNY6Z7B6FM2AV2N3W/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AE4MSIUQNPNY6Z7B6FM2AV2N3W","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":"33a3a8853049942107af31bc18bacf7b3126496861d30e647023df10984041de","cross_cats_sorted":["astro-ph.IM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2024-06-06T16:50:33Z","title_canon_sha256":"e857c171f248a181b5bdb6d1d12555f604e8b209fdbc76b8da4d702e40ef73aa"},"schema_version":"1.0","source":{"id":"2406.04248","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.04248","created_at":"2026-07-05T08:28:28Z"},{"alias_kind":"arxiv_version","alias_value":"2406.04248v1","created_at":"2026-07-05T08:28:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.04248","created_at":"2026-07-05T08:28:28Z"},{"alias_kind":"pith_short_12","alias_value":"AE4MSIUQNPNY","created_at":"2026-07-05T08:28:28Z"},{"alias_kind":"pith_short_16","alias_value":"AE4MSIUQNPNY6Z7B","created_at":"2026-07-05T08:28:28Z"},{"alias_kind":"pith_short_8","alias_value":"AE4MSIUQ","created_at":"2026-07-05T08:28:28Z"}],"graph_snapshots":[{"event_id":"sha256:523fdc08a5c689e880d1f1241a0318843d5b4aa4bf56843bc41f749448d04b1f","target":"graph","created_at":"2026-07-05T08:28:28Z","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/2406.04248/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"White dwarfs represent the end stage for 97% of stars, making precise parameter measurement crucial for understanding stellar evolution. Traditional estimation methods involve fitting spectra or photometry, which require high-quality data. In recent years, machine learning has played a crucial role in processing spectral data due to its speed, automation, and accuracy. However, two common issues have been identified. First, most studies rely on data with high signal-to-noise ratios (SNR > 10), leaving many poor-quality datasets underutilized. Second, existing machine learning models, primarily","authors_text":"Duo Xie, Jiangchuan Zhang, Meng Liu, Xiaoming Kong, Yude Bu, Zhenping Yi","cross_cats":["astro-ph.IM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2024-06-06T16:50:33Z","title":"An adaptive parameter estimator for poor-quality spectral data of white dwarfs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.04248","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:df109b4e889b0b2556a3ee166fcbef12d48ade3e21cc46f9834c6f705e0d10ba","target":"record","created_at":"2026-07-05T08:28:28Z","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":"33a3a8853049942107af31bc18bacf7b3126496861d30e647023df10984041de","cross_cats_sorted":["astro-ph.IM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2024-06-06T16:50:33Z","title_canon_sha256":"e857c171f248a181b5bdb6d1d12555f604e8b209fdbc76b8da4d702e40ef73aa"},"schema_version":"1.0","source":{"id":"2406.04248","kind":"arxiv","version":1}},"canonical_sha256":"0138c922906bdb8f67e1f159a0574dddb74a34ab82c4054613058f59bfbcb08d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0138c922906bdb8f67e1f159a0574dddb74a34ab82c4054613058f59bfbcb08d","first_computed_at":"2026-07-05T08:28:28.479740Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:28:28.479740Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BALXSi6udsg0BlK6Q3GeudLpjrYDklLm1MyGugwWCyArVFv9bVfHO2kshox0ppQ9gxE32S9ieuBbiAjfDXN4DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:28:28.480144Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.04248","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:df109b4e889b0b2556a3ee166fcbef12d48ade3e21cc46f9834c6f705e0d10ba","sha256:523fdc08a5c689e880d1f1241a0318843d5b4aa4bf56843bc41f749448d04b1f"],"state_sha256":"28f0884346bfe57382907973976b9b656473323451c3e3ea1b94488719bd3f87"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iVfkp4JX76QYoojzjo0IV1zHik9Cz2pAubQBc3kIfwB3C8Ecpi2Zenp8LPaX/1hayRMvB6yvbfQOJb+91CNcAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T21:41:08.574390Z","bundle_sha256":"6e7c309f6d0a49425c4cfd5900d172f3a4d399045046f6919839d230f92fd70b"}}