{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:QUH5DJL72UHG4L4SQWFW64TT7L","short_pith_number":"pith:QUH5DJL7","canonical_record":{"source":{"id":"2211.09492","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2022-11-17T12:34:17Z","cross_cats_sorted":[],"title_canon_sha256":"81d3856bfa31bfe5991bdfbc54b26a1d1185a68eccb5617cd9fe85f45eaccf6b","abstract_canon_sha256":"bfe46ad4d2d32bc5827c010c6d964cefb0d72084de4ff8a7d30dc57a6d97be91"},"schema_version":"1.0"},"canonical_sha256":"850fd1a57fd50e6e2f92858b6f7273facb8a6de5cdf2bda8148b9d295401d4fb","source":{"kind":"arxiv","id":"2211.09492","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.09492","created_at":"2026-07-05T05:20:56Z"},{"alias_kind":"arxiv_version","alias_value":"2211.09492v1","created_at":"2026-07-05T05:20:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.09492","created_at":"2026-07-05T05:20:56Z"},{"alias_kind":"pith_short_12","alias_value":"QUH5DJL72UHG","created_at":"2026-07-05T05:20:56Z"},{"alias_kind":"pith_short_16","alias_value":"QUH5DJL72UHG4L4S","created_at":"2026-07-05T05:20:56Z"},{"alias_kind":"pith_short_8","alias_value":"QUH5DJL7","created_at":"2026-07-05T05:20:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:QUH5DJL72UHG4L4SQWFW64TT7L","target":"record","payload":{"canonical_record":{"source":{"id":"2211.09492","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2022-11-17T12:34:17Z","cross_cats_sorted":[],"title_canon_sha256":"81d3856bfa31bfe5991bdfbc54b26a1d1185a68eccb5617cd9fe85f45eaccf6b","abstract_canon_sha256":"bfe46ad4d2d32bc5827c010c6d964cefb0d72084de4ff8a7d30dc57a6d97be91"},"schema_version":"1.0"},"canonical_sha256":"850fd1a57fd50e6e2f92858b6f7273facb8a6de5cdf2bda8148b9d295401d4fb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:20:56.908750Z","signature_b64":"CDtjeTd6TQpR35Z3zw9Ghgp8SP7f0vq+N37j/ol0O49dD2gkr24HGKYfwpS7dGqAvYPa5anqo8FbPXrswYdaCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"850fd1a57fd50e6e2f92858b6f7273facb8a6de5cdf2bda8148b9d295401d4fb","last_reissued_at":"2026-07-05T05:20:56.908348Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:20:56.908348Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.09492","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":"2026-07-05T05:20:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZBv9F6173XlbGpZkFI4necZB5M7voaCEVyAOwJTW/TfpLjDfilsnya1XLCINVMNHc3Y/MLm6LlkVHM+B9JOhBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T21:50:58.055706Z"},"content_sha256":"04a73c3d2698447a0b446048c825dd40cc032b3c2a4b8e2c25307d7b3c386cf1","schema_version":"1.0","event_id":"sha256:04a73c3d2698447a0b446048c825dd40cc032b3c2a4b8e2c25307d7b3c386cf1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:QUH5DJL72UHG4L4SQWFW64TT7L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Photometric redshift estimation of galaxies in the DESI Legacy Imaging Surveys","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Boliang He, Changhua Li, Chenzhou Cui, Dongwei Fan, Hanxi Yang, Jing-Yi Zhang, Jun Han, Linying Mi, Shanshan Li, Sisi Yang, Xue-Bing Wu, Yanxia Zhang, Yihan Tao, Yongheng Zhao, Youfen Wang, Yunfei Xu, Zihan Kang","submitted_at":"2022-11-17T12:34:17Z","abstract_excerpt":"The accurate estimation of photometric redshifts plays a crucial role in accomplishing science objectives of the large survey projects. The template-fitting and machine learning are the two main types of methods applied currently. Based on the training set obtained by cross-correlating the DESI Legacy Imaging Surveys DR9 galaxy catalogue and SDSS DR16 galaxy catalogue, the two kinds of methods are used and optimized, such as EAZY for template-fitting approach and CATBOOST for machine learning. Then the created models are tested by the cross-matched samples of the DESI Legacy Imaging SurveysDR9"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.09492","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/2211.09492/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":"2026-07-05T05:20:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eFuHIKGw36RALV0TAzimeW0ACjJi6Lgtyp/lZH5zYhtcj9cu8aXsh05zGlIxXIZVvvlxPs1rMJ1TUWUncrYCCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T21:50:58.056296Z"},"content_sha256":"937f0238d0f81a085420d674e16794290096ceb726cd4e1eeae503f3bbf14026","schema_version":"1.0","event_id":"sha256:937f0238d0f81a085420d674e16794290096ceb726cd4e1eeae503f3bbf14026"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QUH5DJL72UHG4L4SQWFW64TT7L/bundle.json","state_url":"https://pith.science/pith/QUH5DJL72UHG4L4SQWFW64TT7L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QUH5DJL72UHG4L4SQWFW64TT7L/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":"2026-08-21T21:50:58Z","links":{"resolver":"https://pith.science/pith/QUH5DJL72UHG4L4SQWFW64TT7L","bundle":"https://pith.science/pith/QUH5DJL72UHG4L4SQWFW64TT7L/bundle.json","state":"https://pith.science/pith/QUH5DJL72UHG4L4SQWFW64TT7L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QUH5DJL72UHG4L4SQWFW64TT7L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:QUH5DJL72UHG4L4SQWFW64TT7L","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":"bfe46ad4d2d32bc5827c010c6d964cefb0d72084de4ff8a7d30dc57a6d97be91","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2022-11-17T12:34:17Z","title_canon_sha256":"81d3856bfa31bfe5991bdfbc54b26a1d1185a68eccb5617cd9fe85f45eaccf6b"},"schema_version":"1.0","source":{"id":"2211.09492","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.09492","created_at":"2026-07-05T05:20:56Z"},{"alias_kind":"arxiv_version","alias_value":"2211.09492v1","created_at":"2026-07-05T05:20:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.09492","created_at":"2026-07-05T05:20:56Z"},{"alias_kind":"pith_short_12","alias_value":"QUH5DJL72UHG","created_at":"2026-07-05T05:20:56Z"},{"alias_kind":"pith_short_16","alias_value":"QUH5DJL72UHG4L4S","created_at":"2026-07-05T05:20:56Z"},{"alias_kind":"pith_short_8","alias_value":"QUH5DJL7","created_at":"2026-07-05T05:20:56Z"}],"graph_snapshots":[{"event_id":"sha256:937f0238d0f81a085420d674e16794290096ceb726cd4e1eeae503f3bbf14026","target":"graph","created_at":"2026-07-05T05:20:56Z","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/2211.09492/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The accurate estimation of photometric redshifts plays a crucial role in accomplishing science objectives of the large survey projects. The template-fitting and machine learning are the two main types of methods applied currently. Based on the training set obtained by cross-correlating the DESI Legacy Imaging Surveys DR9 galaxy catalogue and SDSS DR16 galaxy catalogue, the two kinds of methods are used and optimized, such as EAZY for template-fitting approach and CATBOOST for machine learning. Then the created models are tested by the cross-matched samples of the DESI Legacy Imaging SurveysDR9","authors_text":"Boliang He, Changhua Li, Chenzhou Cui, Dongwei Fan, Hanxi Yang, Jing-Yi Zhang, Jun Han, Linying Mi, Shanshan Li, Sisi Yang, Xue-Bing Wu, Yanxia Zhang, Yihan Tao, Yongheng Zhao, Youfen Wang, Yunfei Xu, Zihan Kang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2022-11-17T12:34:17Z","title":"Photometric redshift estimation of galaxies in the DESI Legacy Imaging Surveys"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.09492","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":"sha256:04a73c3d2698447a0b446048c825dd40cc032b3c2a4b8e2c25307d7b3c386cf1","target":"record","created_at":"2026-07-05T05:20:56Z","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":"bfe46ad4d2d32bc5827c010c6d964cefb0d72084de4ff8a7d30dc57a6d97be91","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2022-11-17T12:34:17Z","title_canon_sha256":"81d3856bfa31bfe5991bdfbc54b26a1d1185a68eccb5617cd9fe85f45eaccf6b"},"schema_version":"1.0","source":{"id":"2211.09492","kind":"arxiv","version":1}},"canonical_sha256":"850fd1a57fd50e6e2f92858b6f7273facb8a6de5cdf2bda8148b9d295401d4fb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"850fd1a57fd50e6e2f92858b6f7273facb8a6de5cdf2bda8148b9d295401d4fb","first_computed_at":"2026-07-05T05:20:56.908348Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:20:56.908348Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CDtjeTd6TQpR35Z3zw9Ghgp8SP7f0vq+N37j/ol0O49dD2gkr24HGKYfwpS7dGqAvYPa5anqo8FbPXrswYdaCw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:20:56.908750Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.09492","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:04a73c3d2698447a0b446048c825dd40cc032b3c2a4b8e2c25307d7b3c386cf1","sha256:937f0238d0f81a085420d674e16794290096ceb726cd4e1eeae503f3bbf14026"],"state_sha256":"bd31006c4dd17cd69ae6e3814942aade3060401def4342ebd2d2f3a3a733097e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dMYnHQl1/2O5Glr9MKbUKkAbCIbSx5yZuPmKGaioZcTCFrcNvM/lAOMJtALgDnDyGP6cUGEtUk1mKoNRNGi1Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T21:50:58.060205Z","bundle_sha256":"d2077d3cb5a87c16e5581ca8df8b0c86344f50909b6aa62ee88d2058f4876d22"}}