{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:LEMSCSEX3JGNKGO6BMVIGCAZPF","short_pith_number":"pith:LEMSCSEX","canonical_record":{"source":{"id":"2304.08398","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2023-04-17T16:05:51Z","cross_cats_sorted":["astro-ph.GA","astro-ph.IM"],"title_canon_sha256":"c8de36db5e7c4238b1b31c8fe9b5296d00f4f4d8718b479d855988191c32cf3b","abstract_canon_sha256":"0cdefa659d491e28e715acb53ae28b267f2a4e33867990547b3a0cb84407f6b2"},"schema_version":"1.0"},"canonical_sha256":"5919214897da4cd519de0b2a830819797f32248b99f9eb7d78f1faa5e637f409","source":{"kind":"arxiv","id":"2304.08398","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.08398","created_at":"2026-07-05T06:22:47Z"},{"alias_kind":"arxiv_version","alias_value":"2304.08398v1","created_at":"2026-07-05T06:22:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.08398","created_at":"2026-07-05T06:22:47Z"},{"alias_kind":"pith_short_12","alias_value":"LEMSCSEX3JGN","created_at":"2026-07-05T06:22:47Z"},{"alias_kind":"pith_short_16","alias_value":"LEMSCSEX3JGNKGO6","created_at":"2026-07-05T06:22:47Z"},{"alias_kind":"pith_short_8","alias_value":"LEMSCSEX","created_at":"2026-07-05T06:22:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:LEMSCSEX3JGNKGO6BMVIGCAZPF","target":"record","payload":{"canonical_record":{"source":{"id":"2304.08398","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2023-04-17T16:05:51Z","cross_cats_sorted":["astro-ph.GA","astro-ph.IM"],"title_canon_sha256":"c8de36db5e7c4238b1b31c8fe9b5296d00f4f4d8718b479d855988191c32cf3b","abstract_canon_sha256":"0cdefa659d491e28e715acb53ae28b267f2a4e33867990547b3a0cb84407f6b2"},"schema_version":"1.0"},"canonical_sha256":"5919214897da4cd519de0b2a830819797f32248b99f9eb7d78f1faa5e637f409","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:22:47.089326Z","signature_b64":"yNvDQVrY/oQzeoc77agDgxKYsRX/qGMvB8N1UY6p52Q7KPWecoFFfZpOYrNx+i/PFtf6Nz7E18iSh3NhyNo1Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5919214897da4cd519de0b2a830819797f32248b99f9eb7d78f1faa5e637f409","last_reissued_at":"2026-07-05T06:22:47.088694Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:22:47.088694Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.08398","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":"2026-07-05T06:22:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cVR5tzSM1POI4q2FEF/Epepi+wNdQgZCLncq0qHBbEy12WqZwHO9HabPr6GSOeOVAZQCpf24Mm+Pcb8lshrwCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T12:10:25.342780Z"},"content_sha256":"1e38e0d5a7cae0b0153c085112996de202fcf94e17bf1e4346be539a8be2d339","schema_version":"1.0","event_id":"sha256:1e38e0d5a7cae0b0153c085112996de202fcf94e17bf1e4346be539a8be2d339"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:LEMSCSEX3JGNKGO6BMVIGCAZPF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spectral classification of young stars using conditional invertible neural networks I. Introducing and validating the method","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.GA","astro-ph.IM"],"primary_cat":"astro-ph.SR","authors_text":"Da Eun Kang, Dominika Itrich, Leonardo Testi, Patrick Hennebelle, Ralf S. Klessen, Sergio Molinari, Victor F. Ksoll","submitted_at":"2023-04-17T16:05:51Z","abstract_excerpt":"Aims. We introduce a new deep learning tool that estimates stellar parameters (such as effective temperature, surface gravity, and extinction) of young low-mass stars by coupling the Phoenix stellar atmosphere model with a conditional invertible neural network (cINN). Our networks allow us to infer the posterior distribution of each stellar parameter from the optical spectrum.\n  Methods. We discuss cINNs trained on three different Phoenix grids: Settl, NextGen, and Dusty. We evaluate the performance of these cINNs on unlearned Phoenix synthetic spectra and on the spectra of 36 Class III templa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.08398","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/2304.08398/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":"2026-07-05T06:22:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dVfHCoZF0PzZ87Vh4EHaoSmZPSSvzKf2Bvll3VykEKtDLzfjFw22pbp84/CKnv+EJMfMcqLjg7fXbxPPI9xSCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T12:10:25.343723Z"},"content_sha256":"383d0006fdab74cd2cdf517b00b2bda13601eec970faf0e82858ba63d810e9c1","schema_version":"1.0","event_id":"sha256:383d0006fdab74cd2cdf517b00b2bda13601eec970faf0e82858ba63d810e9c1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LEMSCSEX3JGNKGO6BMVIGCAZPF/bundle.json","state_url":"https://pith.science/pith/LEMSCSEX3JGNKGO6BMVIGCAZPF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LEMSCSEX3JGNKGO6BMVIGCAZPF/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":"2026-08-06T12:10:25Z","links":{"resolver":"https://pith.science/pith/LEMSCSEX3JGNKGO6BMVIGCAZPF","bundle":"https://pith.science/pith/LEMSCSEX3JGNKGO6BMVIGCAZPF/bundle.json","state":"https://pith.science/pith/LEMSCSEX3JGNKGO6BMVIGCAZPF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LEMSCSEX3JGNKGO6BMVIGCAZPF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:LEMSCSEX3JGNKGO6BMVIGCAZPF","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":"0cdefa659d491e28e715acb53ae28b267f2a4e33867990547b3a0cb84407f6b2","cross_cats_sorted":["astro-ph.GA","astro-ph.IM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2023-04-17T16:05:51Z","title_canon_sha256":"c8de36db5e7c4238b1b31c8fe9b5296d00f4f4d8718b479d855988191c32cf3b"},"schema_version":"1.0","source":{"id":"2304.08398","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.08398","created_at":"2026-07-05T06:22:47Z"},{"alias_kind":"arxiv_version","alias_value":"2304.08398v1","created_at":"2026-07-05T06:22:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.08398","created_at":"2026-07-05T06:22:47Z"},{"alias_kind":"pith_short_12","alias_value":"LEMSCSEX3JGN","created_at":"2026-07-05T06:22:47Z"},{"alias_kind":"pith_short_16","alias_value":"LEMSCSEX3JGNKGO6","created_at":"2026-07-05T06:22:47Z"},{"alias_kind":"pith_short_8","alias_value":"LEMSCSEX","created_at":"2026-07-05T06:22:47Z"}],"graph_snapshots":[{"event_id":"sha256:383d0006fdab74cd2cdf517b00b2bda13601eec970faf0e82858ba63d810e9c1","target":"graph","created_at":"2026-07-05T06:22:47Z","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/2304.08398/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Aims. We introduce a new deep learning tool that estimates stellar parameters (such as effective temperature, surface gravity, and extinction) of young low-mass stars by coupling the Phoenix stellar atmosphere model with a conditional invertible neural network (cINN). Our networks allow us to infer the posterior distribution of each stellar parameter from the optical spectrum.\n  Methods. We discuss cINNs trained on three different Phoenix grids: Settl, NextGen, and Dusty. We evaluate the performance of these cINNs on unlearned Phoenix synthetic spectra and on the spectra of 36 Class III templa","authors_text":"Da Eun Kang, Dominika Itrich, Leonardo Testi, Patrick Hennebelle, Ralf S. Klessen, Sergio Molinari, Victor F. Ksoll","cross_cats":["astro-ph.GA","astro-ph.IM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2023-04-17T16:05:51Z","title":"Spectral classification of young stars using conditional invertible neural networks I. Introducing and validating the method"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.08398","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":"sha256:1e38e0d5a7cae0b0153c085112996de202fcf94e17bf1e4346be539a8be2d339","target":"record","created_at":"2026-07-05T06:22:47Z","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":"0cdefa659d491e28e715acb53ae28b267f2a4e33867990547b3a0cb84407f6b2","cross_cats_sorted":["astro-ph.GA","astro-ph.IM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.SR","submitted_at":"2023-04-17T16:05:51Z","title_canon_sha256":"c8de36db5e7c4238b1b31c8fe9b5296d00f4f4d8718b479d855988191c32cf3b"},"schema_version":"1.0","source":{"id":"2304.08398","kind":"arxiv","version":1}},"canonical_sha256":"5919214897da4cd519de0b2a830819797f32248b99f9eb7d78f1faa5e637f409","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5919214897da4cd519de0b2a830819797f32248b99f9eb7d78f1faa5e637f409","first_computed_at":"2026-07-05T06:22:47.088694Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:22:47.088694Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yNvDQVrY/oQzeoc77agDgxKYsRX/qGMvB8N1UY6p52Q7KPWecoFFfZpOYrNx+i/PFtf6Nz7E18iSh3NhyNo1Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:22:47.089326Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.08398","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e38e0d5a7cae0b0153c085112996de202fcf94e17bf1e4346be539a8be2d339","sha256:383d0006fdab74cd2cdf517b00b2bda13601eec970faf0e82858ba63d810e9c1"],"state_sha256":"bc944d721f3a1afad2dfb9db1d48d19eb807ceb1202e9326071757d57e9cdd1d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ypVFQ37BMVhd6RMqVbpBBgQPO8vNlX/qkDI/kBR4H1yuxV9D8HtRiqn4Mp/T68aPCc2LLgArgvE3ZqeCkVk9Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T12:10:25.348951Z","bundle_sha256":"c6de6006c3a9255f9465f5f1aae2e6f7a741309eefa77fdd665ed61836f877cf"}}