{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:KEDNWFTT2TN2AIHGXH2W7N5I7C","short_pith_number":"pith:KEDNWFTT","schema_version":"1.0","canonical_sha256":"5106db1673d4dba020e6b9f56fb7a8f8876356b881eb1a17e749b18f5b4db2c3","source":{"kind":"arxiv","id":"2505.21659","version":1},"attestation_state":"computed","paper":{"title":"Unified weak lensing constraints on the evolution of the mass -- X-ray luminosity relation for galaxy clusters","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Alexis Finoguenov, Eduardo Cypriano, Isabel Pederneiras, Johan Comparat, Kimmo Kiiveri, Ludovic Van Waerbeke, Renato Dupke","submitted_at":"2025-05-27T18:34:38Z","abstract_excerpt":"Scaling relations between galaxy cluster properties are crucial for understanding cosmology and baryonic physics. Rigorous calibration of the $M-L_X$ relation, employing weak lensing mass and consistent statistical methodology, is challenging due to heterogeneous cluster samples. The release of LEGACY imaging data introduced the possibility of unifying the cluster selection. We present the all-sky extension of the CODEX catalog based on LEGACY data and introduce a Bayesian framework for calibrating the X-ray luminosity-mass relation, derived for 100 clusters with weak lensing mass measurements"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2505.21659","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2025-05-27T18:34:38Z","cross_cats_sorted":[],"title_canon_sha256":"a33ba6310f2db5f4f2346002e44d6c29bcccf53e6c9ad793bfd19056e6ca95e2","abstract_canon_sha256":"a86878ac3a44c9a33a9389c60468a17cac81d1dd0edc019932fbfe4b015b076c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:11:01.660049Z","signature_b64":"o8+q0hwxpOZAU7GnCs/e/CN337D0a5S/NtAoXQH5If/T4IhdYvTmsXbGfAiVRXOoAOZ8NYcme5s2A77N8C1DDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5106db1673d4dba020e6b9f56fb7a8f8876356b881eb1a17e749b18f5b4db2c3","last_reissued_at":"2026-07-05T11:11:01.659559Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:11:01.659559Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Unified weak lensing constraints on the evolution of the mass -- X-ray luminosity relation for galaxy clusters","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Alexis Finoguenov, Eduardo Cypriano, Isabel Pederneiras, Johan Comparat, Kimmo Kiiveri, Ludovic Van Waerbeke, Renato Dupke","submitted_at":"2025-05-27T18:34:38Z","abstract_excerpt":"Scaling relations between galaxy cluster properties are crucial for understanding cosmology and baryonic physics. Rigorous calibration of the $M-L_X$ relation, employing weak lensing mass and consistent statistical methodology, is challenging due to heterogeneous cluster samples. The release of LEGACY imaging data introduced the possibility of unifying the cluster selection. We present the all-sky extension of the CODEX catalog based on LEGACY data and introduce a Bayesian framework for calibrating the X-ray luminosity-mass relation, derived for 100 clusters with weak lensing mass measurements"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.21659","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/2505.21659/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2505.21659","created_at":"2026-07-05T11:11:01.659617+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.21659v1","created_at":"2026-07-05T11:11:01.659617+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.21659","created_at":"2026-07-05T11:11:01.659617+00:00"},{"alias_kind":"pith_short_12","alias_value":"KEDNWFTT2TN2","created_at":"2026-07-05T11:11:01.659617+00:00"},{"alias_kind":"pith_short_16","alias_value":"KEDNWFTT2TN2AIHG","created_at":"2026-07-05T11:11:01.659617+00:00"},{"alias_kind":"pith_short_8","alias_value":"KEDNWFTT","created_at":"2026-07-05T11:11:01.659617+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2607.02706","citing_title":"S-PLUS Clusters And Large-scale Environments (SCALE): II. PZWav versus redMaPPer identification of eRosita groups","ref_index":64,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/KEDNWFTT2TN2AIHGXH2W7N5I7C","json":"https://pith.science/pith/KEDNWFTT2TN2AIHGXH2W7N5I7C.json","graph_json":"https://pith.science/api/pith-number/KEDNWFTT2TN2AIHGXH2W7N5I7C/graph.json","events_json":"https://pith.science/api/pith-number/KEDNWFTT2TN2AIHGXH2W7N5I7C/events.json","paper":"https://pith.science/paper/KEDNWFTT"},"agent_actions":{"view_html":"https://pith.science/pith/KEDNWFTT2TN2AIHGXH2W7N5I7C","download_json":"https://pith.science/pith/KEDNWFTT2TN2AIHGXH2W7N5I7C.json","view_paper":"https://pith.science/paper/KEDNWFTT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.21659&json=true","fetch_graph":"https://pith.science/api/pith-number/KEDNWFTT2TN2AIHGXH2W7N5I7C/graph.json","fetch_events":"https://pith.science/api/pith-number/KEDNWFTT2TN2AIHGXH2W7N5I7C/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KEDNWFTT2TN2AIHGXH2W7N5I7C/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KEDNWFTT2TN2AIHGXH2W7N5I7C/action/storage_attestation","attest_author":"https://pith.science/pith/KEDNWFTT2TN2AIHGXH2W7N5I7C/action/author_attestation","sign_citation":"https://pith.science/pith/KEDNWFTT2TN2AIHGXH2W7N5I7C/action/citation_signature","submit_replication":"https://pith.science/pith/KEDNWFTT2TN2AIHGXH2W7N5I7C/action/replication_record"}},"created_at":"2026-07-05T11:11:01.659617+00:00","updated_at":"2026-07-05T11:11:01.659617+00:00"}