{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CW7LPWCDV2RQNJ3LTAP3VW5RFR","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":"b608fbfe9a1620cef995e951b3222c37aa771a8674be39d5ea88fd033fbf1da5","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2024-09-29T16:02:22Z","title_canon_sha256":"f9f5d8fef5c2e1c499a7c1b6f0c696adfa694982f42ecae6503a3113ce6e55ab"},"schema_version":"1.0","source":{"id":"2409.19750","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.19750","created_at":"2026-07-05T09:13:21Z"},{"alias_kind":"arxiv_version","alias_value":"2409.19750v1","created_at":"2026-07-05T09:13:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.19750","created_at":"2026-07-05T09:13:21Z"},{"alias_kind":"pith_short_12","alias_value":"CW7LPWCDV2RQ","created_at":"2026-07-05T09:13:21Z"},{"alias_kind":"pith_short_16","alias_value":"CW7LPWCDV2RQNJ3L","created_at":"2026-07-05T09:13:21Z"},{"alias_kind":"pith_short_8","alias_value":"CW7LPWCD","created_at":"2026-07-05T09:13:21Z"}],"graph_snapshots":[{"event_id":"sha256:5a7d067079ed07eca3f564929a48686bf76c73c229ccd49f79f832fdc4be33a9","target":"graph","created_at":"2026-07-05T09:13:21Z","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/2409.19750/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Continual pretraining of large language models on domain-specific data has been proposed to enhance performance on downstream tasks. In astronomy, the previous absence of astronomy-focused benchmarks has hindered objective evaluation of these specialized LLM models. Leveraging a recent initiative to curate high-quality astronomical MCQs, this study aims to quantitatively assess specialized LLMs in astronomy. We find that the previously released AstroLLaMA series, based on LLaMA-2-7B, underperforms compared to the base model. We demonstrate that this performance degradation can be partially mit","authors_text":"Alberto Accomazzi, Hardik Arora, Rui Pan, Tirthankar Ghosal, Tuan Dung Nguyen, Yuan-Sen Ting","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2024-09-29T16:02:22Z","title":"AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.19750","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":"sha256:5e74cdd6ca11c068f783ce420d735bc37e8451d44b4ee72c89222835e9f60f2a","target":"record","created_at":"2026-07-05T09:13:21Z","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":"b608fbfe9a1620cef995e951b3222c37aa771a8674be39d5ea88fd033fbf1da5","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2024-09-29T16:02:22Z","title_canon_sha256":"f9f5d8fef5c2e1c499a7c1b6f0c696adfa694982f42ecae6503a3113ce6e55ab"},"schema_version":"1.0","source":{"id":"2409.19750","kind":"arxiv","version":1}},"canonical_sha256":"15beb7d843aea306a76b981fbadbb12c50be238bd4e78fccd86b7633edb76f1d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"15beb7d843aea306a76b981fbadbb12c50be238bd4e78fccd86b7633edb76f1d","first_computed_at":"2026-07-05T09:13:21.956938Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:13:21.956938Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"R69ulzfBe3rwEZtpa3+KvNzILu6eNWIvNBEHLYKNlMJAhIFjYzANLXGD0uPGRjvNQ59mg+S12/RcoqvjZJOxAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:13:21.957418Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.19750","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e74cdd6ca11c068f783ce420d735bc37e8451d44b4ee72c89222835e9f60f2a","sha256:5a7d067079ed07eca3f564929a48686bf76c73c229ccd49f79f832fdc4be33a9"],"state_sha256":"56f0da40e2d9fc91558978ad6a20da2853d02ef8f65accba922b55a5778b1289"}