{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:ALVKZ5UIZSFF6CU3JNG6WQTGCC","short_pith_number":"pith:ALVKZ5UI","canonical_record":{"source":{"id":"1809.01691","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2018-09-05T18:51:24Z","cross_cats_sorted":[],"title_canon_sha256":"43ad55aaaa1ba5838cbbbafe006710c18722b629c9dbdd0cf32b3e559a6a1571","abstract_canon_sha256":"6bed9732e772fbbcb2cf290a952431df38dde064f50868fe8bf245660c888378"},"schema_version":"1.0"},"canonical_sha256":"02eaacf688cc8a5f0a9b4b4deb426610a9676fe6e2a379b7aa41e1fcb5c97772","source":{"kind":"arxiv","id":"1809.01691","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.01691","created_at":"2026-05-18T00:06:22Z"},{"alias_kind":"arxiv_version","alias_value":"1809.01691v1","created_at":"2026-05-18T00:06:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.01691","created_at":"2026-05-18T00:06:22Z"},{"alias_kind":"pith_short_12","alias_value":"ALVKZ5UIZSFF","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"ALVKZ5UIZSFF6CU3","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"ALVKZ5UI","created_at":"2026-05-18T12:32:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:ALVKZ5UIZSFF6CU3JNG6WQTGCC","target":"record","payload":{"canonical_record":{"source":{"id":"1809.01691","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2018-09-05T18:51:24Z","cross_cats_sorted":[],"title_canon_sha256":"43ad55aaaa1ba5838cbbbafe006710c18722b629c9dbdd0cf32b3e559a6a1571","abstract_canon_sha256":"6bed9732e772fbbcb2cf290a952431df38dde064f50868fe8bf245660c888378"},"schema_version":"1.0"},"canonical_sha256":"02eaacf688cc8a5f0a9b4b4deb426610a9676fe6e2a379b7aa41e1fcb5c97772","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:22.185210Z","signature_b64":"bqtI9q1WtHER3yL2AiwR540hPRB+5IR4tQblxYpEBhzaVWKAsBbuAVpufSMN2aY0OUFKSQuRG88gC10r+BZHBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"02eaacf688cc8a5f0a9b4b4deb426610a9676fe6e2a379b7aa41e1fcb5c97772","last_reissued_at":"2026-05-18T00:06:22.184552Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:22.184552Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.01691","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":"2026-05-18T00:06:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s9LEO2qYJrwJfhu33Oa4YTEv9j7Q3yMIGpSoQCS/gkmd9igroxCcUM3uxF2tnY3ZzvniJJbUyo2wwM9y8UQiDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T04:39:42.727359Z"},"content_sha256":"2f5287c7854a381cdde4731996ded5d733cd5d619e66e6d39cc7e17916d5d38e","schema_version":"1.0","event_id":"sha256:2f5287c7854a381cdde4731996ded5d733cd5d619e66e6d39cc7e17916d5d38e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:ALVKZ5UIZSFF6CU3JNG6WQTGCC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Galaxy detection and identification using deep learning and data augmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Cristian A. Hern\\'andez, Roberto E. Gonz\\'alez, Roberto P. Mu\\~noz","submitted_at":"2018-09-05T18:51:24Z","abstract_excerpt":"We present a method for automatic detection and classification of galaxies which includes a novel data-augmentation procedure to make trained models more robust against the data taken from different instruments and contrast-stretching functions. This method is shown as part of AstroCV, a growing open source computer vision repository for processing and analyzing big astronomical datasets, including high performance Python and C++ algorithms used in the areas of image processing and computer vision.\n  The underlying models were trained using convolutional neural networks and deep learning techn"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.01691","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":""},"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":"2026-05-18T00:06:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QQfaEishA2okXYlgWn8MJ9TT10w1cAgQ2cQpopwCl6myyI+4Kl5/xNRQjACk4Dx5zHCEn48aXxMvmZrOP4RsDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T04:39:42.727705Z"},"content_sha256":"eeb4d721a6226ac7cc41272f7bf8fd65d23e833d1334e257c1429348cedeec91","schema_version":"1.0","event_id":"sha256:eeb4d721a6226ac7cc41272f7bf8fd65d23e833d1334e257c1429348cedeec91"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ALVKZ5UIZSFF6CU3JNG6WQTGCC/bundle.json","state_url":"https://pith.science/pith/ALVKZ5UIZSFF6CU3JNG6WQTGCC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ALVKZ5UIZSFF6CU3JNG6WQTGCC/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":"2026-06-03T04:39:42Z","links":{"resolver":"https://pith.science/pith/ALVKZ5UIZSFF6CU3JNG6WQTGCC","bundle":"https://pith.science/pith/ALVKZ5UIZSFF6CU3JNG6WQTGCC/bundle.json","state":"https://pith.science/pith/ALVKZ5UIZSFF6CU3JNG6WQTGCC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ALVKZ5UIZSFF6CU3JNG6WQTGCC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:ALVKZ5UIZSFF6CU3JNG6WQTGCC","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":"6bed9732e772fbbcb2cf290a952431df38dde064f50868fe8bf245660c888378","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2018-09-05T18:51:24Z","title_canon_sha256":"43ad55aaaa1ba5838cbbbafe006710c18722b629c9dbdd0cf32b3e559a6a1571"},"schema_version":"1.0","source":{"id":"1809.01691","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.01691","created_at":"2026-05-18T00:06:22Z"},{"alias_kind":"arxiv_version","alias_value":"1809.01691v1","created_at":"2026-05-18T00:06:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.01691","created_at":"2026-05-18T00:06:22Z"},{"alias_kind":"pith_short_12","alias_value":"ALVKZ5UIZSFF","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"ALVKZ5UIZSFF6CU3","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"ALVKZ5UI","created_at":"2026-05-18T12:32:13Z"}],"graph_snapshots":[{"event_id":"sha256:eeb4d721a6226ac7cc41272f7bf8fd65d23e833d1334e257c1429348cedeec91","target":"graph","created_at":"2026-05-18T00:06:22Z","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"},"paper":{"abstract_excerpt":"We present a method for automatic detection and classification of galaxies which includes a novel data-augmentation procedure to make trained models more robust against the data taken from different instruments and contrast-stretching functions. This method is shown as part of AstroCV, a growing open source computer vision repository for processing and analyzing big astronomical datasets, including high performance Python and C++ algorithms used in the areas of image processing and computer vision.\n  The underlying models were trained using convolutional neural networks and deep learning techn","authors_text":"Cristian A. Hern\\'andez, Roberto E. Gonz\\'alez, Roberto P. Mu\\~noz","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2018-09-05T18:51:24Z","title":"Galaxy detection and identification using deep learning and data augmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.01691","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":"sha256:2f5287c7854a381cdde4731996ded5d733cd5d619e66e6d39cc7e17916d5d38e","target":"record","created_at":"2026-05-18T00:06:22Z","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":"6bed9732e772fbbcb2cf290a952431df38dde064f50868fe8bf245660c888378","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2018-09-05T18:51:24Z","title_canon_sha256":"43ad55aaaa1ba5838cbbbafe006710c18722b629c9dbdd0cf32b3e559a6a1571"},"schema_version":"1.0","source":{"id":"1809.01691","kind":"arxiv","version":1}},"canonical_sha256":"02eaacf688cc8a5f0a9b4b4deb426610a9676fe6e2a379b7aa41e1fcb5c97772","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"02eaacf688cc8a5f0a9b4b4deb426610a9676fe6e2a379b7aa41e1fcb5c97772","first_computed_at":"2026-05-18T00:06:22.184552Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:06:22.184552Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bqtI9q1WtHER3yL2AiwR540hPRB+5IR4tQblxYpEBhzaVWKAsBbuAVpufSMN2aY0OUFKSQuRG88gC10r+BZHBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:06:22.185210Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.01691","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2f5287c7854a381cdde4731996ded5d733cd5d619e66e6d39cc7e17916d5d38e","sha256:eeb4d721a6226ac7cc41272f7bf8fd65d23e833d1334e257c1429348cedeec91"],"state_sha256":"c6d49212d1eb1b7d8cc8bb947f92bedb99e61781b2a8fe44bda44b1a55ae6b2f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O2kEtgD7gskhB5EXxaBnkGQtkGOlawWLUXWVg5/OXi5ZKoG1ZD266MwpN/dsQIg9mLkbjaQDdtJeUCUS+8XsBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T04:39:42.729577Z","bundle_sha256":"e5bacc051d51f45994f1b409dd55d004f65d0a01f84d9bdc25e4cf45ad6f6c2a"}}