{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:6KI74FR2ZZTMA3O4WM6RJFJ6XW","short_pith_number":"pith:6KI74FR2","canonical_record":{"source":{"id":"2405.10890","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2024-05-17T16:29:27Z","cross_cats_sorted":["astro-ph.GA","cs.AI"],"title_canon_sha256":"1aa057a3e76ddc9007838372edb8ac1540834fa183eb4996ddfd93db395f49b7","abstract_canon_sha256":"e7bd460cb9dd68e647385db8c9930781366227f8a942e033a2ab6e377cae72f8"},"schema_version":"1.0"},"canonical_sha256":"f291fe163ace66c06ddcb33d14953ebd84633e41b352f3cb7167bb2c86b60f40","source":{"kind":"arxiv","id":"2405.10890","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.10890","created_at":"2026-07-05T08:20:18Z"},{"alias_kind":"arxiv_version","alias_value":"2405.10890v1","created_at":"2026-07-05T08:20:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.10890","created_at":"2026-07-05T08:20:18Z"},{"alias_kind":"pith_short_12","alias_value":"6KI74FR2ZZTM","created_at":"2026-07-05T08:20:18Z"},{"alias_kind":"pith_short_16","alias_value":"6KI74FR2ZZTMA3O4","created_at":"2026-07-05T08:20:18Z"},{"alias_kind":"pith_short_8","alias_value":"6KI74FR2","created_at":"2026-07-05T08:20:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:6KI74FR2ZZTMA3O4WM6RJFJ6XW","target":"record","payload":{"canonical_record":{"source":{"id":"2405.10890","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2024-05-17T16:29:27Z","cross_cats_sorted":["astro-ph.GA","cs.AI"],"title_canon_sha256":"1aa057a3e76ddc9007838372edb8ac1540834fa183eb4996ddfd93db395f49b7","abstract_canon_sha256":"e7bd460cb9dd68e647385db8c9930781366227f8a942e033a2ab6e377cae72f8"},"schema_version":"1.0"},"canonical_sha256":"f291fe163ace66c06ddcb33d14953ebd84633e41b352f3cb7167bb2c86b60f40","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:20:18.982494Z","signature_b64":"tRtj2EdtIffHnH2jIz4fRHHlS85taCLED0s+eQWZ3/9l/BAVVm/SkjUC718syf5mN+zriXocPDeoqJYuJTiVBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f291fe163ace66c06ddcb33d14953ebd84633e41b352f3cb7167bb2c86b60f40","last_reissued_at":"2026-07-05T08:20:18.981974Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:20:18.981974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.10890","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":"2026-07-05T08:20:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9nAWn4kyMSVMzX2OLpZ50j+u9enRbreDIlzCZsK6KfdeLmYNBdGgBSuxW6JHO/5TNoQU51vs79zUFrv/JiwzBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:28:08.731689Z"},"content_sha256":"d8de6f9545627ebbcaf799150056c1bd1a9e7a17fcbd1203a09578aa1c932d83","schema_version":"1.0","event_id":"sha256:d8de6f9545627ebbcaf799150056c1bd1a9e7a17fcbd1203a09578aa1c932d83"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:6KI74FR2ZZTMA3O4WM6RJFJ6XW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Versatile Framework for Analyzing Galaxy Image Data by Implanting Human-in-the-loop on a Large Vision Model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.GA","cs.AI"],"primary_cat":"astro-ph.IM","authors_text":"A-Li Luo, Bo Qiu, Haifeng Yang, Jiameng Lv, Jifeng Liu, Liang Cao, Liangping Tu, Lili Wang, Mingxiang Fu, Nan Li, Peng Jia, Shiyin Shen, Shoulin Wei, Xiangru Li, Yu Song, Zhenping Yi, Zhiqiang Zou","submitted_at":"2024-05-17T16:29:27Z","abstract_excerpt":"The exponential growth of astronomical datasets provides an unprecedented opportunity for humans to gain insight into the Universe. However, effectively analyzing this vast amount of data poses a significant challenge. Astronomers are turning to deep learning techniques to address this, but the methods are limited by their specific training sets, leading to considerable duplicate workloads too. Hence, as an example to present how to overcome the issue, we built a framework for general analysis of galaxy images, based on a large vision model (LVM) plus downstream tasks (DST), including galaxy m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.10890","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/2405.10890/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":"2026-07-05T08:20:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G0RDAghLTlRwiGiahUYWh8EM+LnIEXR9HrEAS5wV0TJEA0mJHGUyoI2waPIfeah/EiWwxlnWx8jRMPXhR+vaBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:28:08.732370Z"},"content_sha256":"ebc8e602a901f0119b72c58e39217e29c2c46079e1dd83f33b5fd651a58bab3c","schema_version":"1.0","event_id":"sha256:ebc8e602a901f0119b72c58e39217e29c2c46079e1dd83f33b5fd651a58bab3c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6KI74FR2ZZTMA3O4WM6RJFJ6XW/bundle.json","state_url":"https://pith.science/pith/6KI74FR2ZZTMA3O4WM6RJFJ6XW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6KI74FR2ZZTMA3O4WM6RJFJ6XW/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":"2026-08-03T16:28:08Z","links":{"resolver":"https://pith.science/pith/6KI74FR2ZZTMA3O4WM6RJFJ6XW","bundle":"https://pith.science/pith/6KI74FR2ZZTMA3O4WM6RJFJ6XW/bundle.json","state":"https://pith.science/pith/6KI74FR2ZZTMA3O4WM6RJFJ6XW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6KI74FR2ZZTMA3O4WM6RJFJ6XW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6KI74FR2ZZTMA3O4WM6RJFJ6XW","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":"e7bd460cb9dd68e647385db8c9930781366227f8a942e033a2ab6e377cae72f8","cross_cats_sorted":["astro-ph.GA","cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2024-05-17T16:29:27Z","title_canon_sha256":"1aa057a3e76ddc9007838372edb8ac1540834fa183eb4996ddfd93db395f49b7"},"schema_version":"1.0","source":{"id":"2405.10890","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.10890","created_at":"2026-07-05T08:20:18Z"},{"alias_kind":"arxiv_version","alias_value":"2405.10890v1","created_at":"2026-07-05T08:20:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.10890","created_at":"2026-07-05T08:20:18Z"},{"alias_kind":"pith_short_12","alias_value":"6KI74FR2ZZTM","created_at":"2026-07-05T08:20:18Z"},{"alias_kind":"pith_short_16","alias_value":"6KI74FR2ZZTMA3O4","created_at":"2026-07-05T08:20:18Z"},{"alias_kind":"pith_short_8","alias_value":"6KI74FR2","created_at":"2026-07-05T08:20:18Z"}],"graph_snapshots":[{"event_id":"sha256:ebc8e602a901f0119b72c58e39217e29c2c46079e1dd83f33b5fd651a58bab3c","target":"graph","created_at":"2026-07-05T08:20:18Z","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/2405.10890/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The exponential growth of astronomical datasets provides an unprecedented opportunity for humans to gain insight into the Universe. However, effectively analyzing this vast amount of data poses a significant challenge. Astronomers are turning to deep learning techniques to address this, but the methods are limited by their specific training sets, leading to considerable duplicate workloads too. Hence, as an example to present how to overcome the issue, we built a framework for general analysis of galaxy images, based on a large vision model (LVM) plus downstream tasks (DST), including galaxy m","authors_text":"A-Li Luo, Bo Qiu, Haifeng Yang, Jiameng Lv, Jifeng Liu, Liang Cao, Liangping Tu, Lili Wang, Mingxiang Fu, Nan Li, Peng Jia, Shiyin Shen, Shoulin Wei, Xiangru Li, Yu Song, Zhenping Yi, Zhiqiang Zou","cross_cats":["astro-ph.GA","cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2024-05-17T16:29:27Z","title":"A Versatile Framework for Analyzing Galaxy Image Data by Implanting Human-in-the-loop on a Large Vision Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.10890","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:d8de6f9545627ebbcaf799150056c1bd1a9e7a17fcbd1203a09578aa1c932d83","target":"record","created_at":"2026-07-05T08:20:18Z","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":"e7bd460cb9dd68e647385db8c9930781366227f8a942e033a2ab6e377cae72f8","cross_cats_sorted":["astro-ph.GA","cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.IM","submitted_at":"2024-05-17T16:29:27Z","title_canon_sha256":"1aa057a3e76ddc9007838372edb8ac1540834fa183eb4996ddfd93db395f49b7"},"schema_version":"1.0","source":{"id":"2405.10890","kind":"arxiv","version":1}},"canonical_sha256":"f291fe163ace66c06ddcb33d14953ebd84633e41b352f3cb7167bb2c86b60f40","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f291fe163ace66c06ddcb33d14953ebd84633e41b352f3cb7167bb2c86b60f40","first_computed_at":"2026-07-05T08:20:18.981974Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:20:18.981974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tRtj2EdtIffHnH2jIz4fRHHlS85taCLED0s+eQWZ3/9l/BAVVm/SkjUC718syf5mN+zriXocPDeoqJYuJTiVBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:20:18.982494Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.10890","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d8de6f9545627ebbcaf799150056c1bd1a9e7a17fcbd1203a09578aa1c932d83","sha256:ebc8e602a901f0119b72c58e39217e29c2c46079e1dd83f33b5fd651a58bab3c"],"state_sha256":"38e9b93c0dc0ee2d5b0c1396832cfe51300f40b5db79da0c71e620ac846f4054"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3yFbVld0/gfmicG9sWXdoTO91PJxPF1316boe/TvwPFGjToKsOZahfNR7wDyNL0uflz5+qECVTq54ul4bd0JBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:28:08.738349Z","bundle_sha256":"77d9bddbe0c533c7526b14a21e6073935e45d3ab9f3ac1501c994c9b5368507d"}}