{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:F44TIMTDYU3PVVQ6Z3FN7OKZQP","short_pith_number":"pith:F44TIMTD","canonical_record":{"source":{"id":"2504.08583","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2025-04-11T14:36:31Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0c8f3b18b8fe91707ba0fdf78e12727e674a5daf340343feeb5abaa9db5bbef0","abstract_canon_sha256":"dbbecfff64a52645021545e74a079938b2ef0d046a3524e150396659b957c49f"},"schema_version":"1.0"},"canonical_sha256":"2f39343263c536fad61ececadfb95983fa12966cdbb80f4c0e350a2a565d438b","source":{"kind":"arxiv","id":"2504.08583","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.08583","created_at":"2026-07-05T10:47:51Z"},{"alias_kind":"arxiv_version","alias_value":"2504.08583v1","created_at":"2026-07-05T10:47:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.08583","created_at":"2026-07-05T10:47:51Z"},{"alias_kind":"pith_short_12","alias_value":"F44TIMTDYU3P","created_at":"2026-07-05T10:47:51Z"},{"alias_kind":"pith_short_16","alias_value":"F44TIMTDYU3PVVQ6","created_at":"2026-07-05T10:47:51Z"},{"alias_kind":"pith_short_8","alias_value":"F44TIMTD","created_at":"2026-07-05T10:47:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:F44TIMTDYU3PVVQ6Z3FN7OKZQP","target":"record","payload":{"canonical_record":{"source":{"id":"2504.08583","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2025-04-11T14:36:31Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0c8f3b18b8fe91707ba0fdf78e12727e674a5daf340343feeb5abaa9db5bbef0","abstract_canon_sha256":"dbbecfff64a52645021545e74a079938b2ef0d046a3524e150396659b957c49f"},"schema_version":"1.0"},"canonical_sha256":"2f39343263c536fad61ececadfb95983fa12966cdbb80f4c0e350a2a565d438b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:47:51.205333Z","signature_b64":"WZ0oE6hwYvDLaNQpx6CfZXlF3UjRbtKhI4v0ra79EDvLPVnHH10TNICg1YFCVXT5HuZQJT0oGZ/dS5v0CEE6DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2f39343263c536fad61ececadfb95983fa12966cdbb80f4c0e350a2a565d438b","last_reissued_at":"2026-07-05T10:47:51.204914Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:47:51.204914Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.08583","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":"2026-07-05T10:47:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SkMoaYhqU+03SR97pTieqoVNClAH5kN/uess03/C+DastQLy4oishNJ5vyCvQkA+luDta+p0lW9gcJ46Nj3WDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T19:59:37.472313Z"},"content_sha256":"db1410eb01325a9369c21af2a9bfee3caad35c8c9f425dcfe899a460e830c203","schema_version":"1.0","event_id":"sha256:db1410eb01325a9369c21af2a9bfee3caad35c8c9f425dcfe899a460e830c203"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:F44TIMTDYU3PVVQ6Z3FN7OKZQP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AstroLLaVA: towards the unification of astronomical data and natural language","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"astro-ph.IM","authors_text":"Dimitrios Tanoglidis, Maja Jab{\\l}o\\'nska, Marc Huertas-Company, Matthieu Le Lain, Michael J. Smith, Michele Ginolfi, Pranav Khetarpal, Rishabh Chakrabarty, Sandor Kruk, Sergio Jos\\'e Rodr\\'iguez M\\'endez, Sharaf Zaman","submitted_at":"2025-04-11T14:36:31Z","abstract_excerpt":"We present AstroLLaVA, a vision language model for astronomy that enables interaction with astronomical imagery through natural dialogue. By fine-tuning the LLaVA model on a diverse dataset of $\\sim$30k images with captions and question-answer pairs sourced from NASA's `Astronomy Picture of the Day', the European Southern Observatory, and the NASA/ESA Hubble Space Telescope, we create a model capable of answering open-ended questions about astronomical concepts depicted visually. Our two-stage fine-tuning process adapts the model to both image captioning and visual question answering in the as"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.08583","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/2504.08583/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":"2026-07-05T10:47:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YNdc1DhZ4O6Cv4lSrKjodh4mmMTTh9Q3Lh89BhsFE0G7F8j/SdAZpk3ufsn7lPdLwZ7205b1yaeF3vHqNQKvCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T19:59:37.473249Z"},"content_sha256":"68141ee4c09150c135c6208abd3c122b61ca403105ae27b6f2b4f52eb267ceb6","schema_version":"1.0","event_id":"sha256:68141ee4c09150c135c6208abd3c122b61ca403105ae27b6f2b4f52eb267ceb6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F44TIMTDYU3PVVQ6Z3FN7OKZQP/bundle.json","state_url":"https://pith.science/pith/F44TIMTDYU3PVVQ6Z3FN7OKZQP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F44TIMTDYU3PVVQ6Z3FN7OKZQP/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":"2026-08-03T19:59:37Z","links":{"resolver":"https://pith.science/pith/F44TIMTDYU3PVVQ6Z3FN7OKZQP","bundle":"https://pith.science/pith/F44TIMTDYU3PVVQ6Z3FN7OKZQP/bundle.json","state":"https://pith.science/pith/F44TIMTDYU3PVVQ6Z3FN7OKZQP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F44TIMTDYU3PVVQ6Z3FN7OKZQP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:F44TIMTDYU3PVVQ6Z3FN7OKZQP","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":"dbbecfff64a52645021545e74a079938b2ef0d046a3524e150396659b957c49f","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2025-04-11T14:36:31Z","title_canon_sha256":"0c8f3b18b8fe91707ba0fdf78e12727e674a5daf340343feeb5abaa9db5bbef0"},"schema_version":"1.0","source":{"id":"2504.08583","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.08583","created_at":"2026-07-05T10:47:51Z"},{"alias_kind":"arxiv_version","alias_value":"2504.08583v1","created_at":"2026-07-05T10:47:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.08583","created_at":"2026-07-05T10:47:51Z"},{"alias_kind":"pith_short_12","alias_value":"F44TIMTDYU3P","created_at":"2026-07-05T10:47:51Z"},{"alias_kind":"pith_short_16","alias_value":"F44TIMTDYU3PVVQ6","created_at":"2026-07-05T10:47:51Z"},{"alias_kind":"pith_short_8","alias_value":"F44TIMTD","created_at":"2026-07-05T10:47:51Z"}],"graph_snapshots":[{"event_id":"sha256:68141ee4c09150c135c6208abd3c122b61ca403105ae27b6f2b4f52eb267ceb6","target":"graph","created_at":"2026-07-05T10:47:51Z","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/2504.08583/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present AstroLLaVA, a vision language model for astronomy that enables interaction with astronomical imagery through natural dialogue. By fine-tuning the LLaVA model on a diverse dataset of $\\sim$30k images with captions and question-answer pairs sourced from NASA's `Astronomy Picture of the Day', the European Southern Observatory, and the NASA/ESA Hubble Space Telescope, we create a model capable of answering open-ended questions about astronomical concepts depicted visually. Our two-stage fine-tuning process adapts the model to both image captioning and visual question answering in the as","authors_text":"Dimitrios Tanoglidis, Maja Jab{\\l}o\\'nska, Marc Huertas-Company, Matthieu Le Lain, Michael J. Smith, Michele Ginolfi, Pranav Khetarpal, Rishabh Chakrabarty, Sandor Kruk, Sergio Jos\\'e Rodr\\'iguez M\\'endez, Sharaf Zaman","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2025-04-11T14:36:31Z","title":"AstroLLaVA: towards the unification of astronomical data and natural language"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.08583","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:db1410eb01325a9369c21af2a9bfee3caad35c8c9f425dcfe899a460e830c203","target":"record","created_at":"2026-07-05T10:47:51Z","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":"dbbecfff64a52645021545e74a079938b2ef0d046a3524e150396659b957c49f","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2025-04-11T14:36:31Z","title_canon_sha256":"0c8f3b18b8fe91707ba0fdf78e12727e674a5daf340343feeb5abaa9db5bbef0"},"schema_version":"1.0","source":{"id":"2504.08583","kind":"arxiv","version":1}},"canonical_sha256":"2f39343263c536fad61ececadfb95983fa12966cdbb80f4c0e350a2a565d438b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2f39343263c536fad61ececadfb95983fa12966cdbb80f4c0e350a2a565d438b","first_computed_at":"2026-07-05T10:47:51.204914Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:47:51.204914Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WZ0oE6hwYvDLaNQpx6CfZXlF3UjRbtKhI4v0ra79EDvLPVnHH10TNICg1YFCVXT5HuZQJT0oGZ/dS5v0CEE6DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:47:51.205333Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.08583","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:db1410eb01325a9369c21af2a9bfee3caad35c8c9f425dcfe899a460e830c203","sha256:68141ee4c09150c135c6208abd3c122b61ca403105ae27b6f2b4f52eb267ceb6"],"state_sha256":"1f9195d8c6917f1ab9bf4ece8dc497553b1ec0dba65465b0163b8b3922b0a9b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HZ1yPopwbniwlJ2id0w9SVKJTAU+lQr6A57LZI5ZhGLiksnzxklXof4V3fHBFPU/BjQOVvyOOmnKLOzKyHcrAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T19:59:37.497242Z","bundle_sha256":"795d3bc31a4ffeb284bb0cf63acb461001efb7b6d84921ff21b94e712761c2a8"}}