{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:QRUZW5FTQTHB4KGITGQHFC5A6T","short_pith_number":"pith:QRUZW5FT","schema_version":"1.0","canonical_sha256":"84699b74b384ce1e28c899a0728ba0f4e487b99caf08f1d1ebe8373e7e742792","source":{"kind":"arxiv","id":"2203.06185","version":1},"attestation_state":"computed","paper":{"title":"Across the Green Valley with HST grisms: colour evolution, crossing time-scales and the growth of the red sequence at $z=1.0-1.8$","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.GA","authors_text":"Camilla Pacifici, Chris J. Willott, Ga\\\"el Noirot, Kartheik Iyer, Marcin Sawicki, Maru\\v{s}a Brada\\v{c}, Roberto Abraham, Swara Ravindranath, Thibaud Moutard","submitted_at":"2022-03-11T19:00:00Z","abstract_excerpt":"We measure the colour evolution and quenching time-scales of $z=1.0-1.8$ galaxies across the green valley. We derive rest-frame $NUVrK$ colours and select blue-cloud, green-valley and red-sequence galaxies from the spectral energy distribution modelling of CANDELS GOODS-South and UDS multi-band photometry. Separately, we constrain the star-formation history (SFH) parameters (ages, $\\tau$) of these galaxies by fitting their deep archival HST grism spectroscopy. We derive the galaxy colour-age relation and show that only rapidly evolving galaxies with characteristic delayed-$\\tau$ SFH time-scale"},"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":"2203.06185","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.GA","submitted_at":"2022-03-11T19:00:00Z","cross_cats_sorted":[],"title_canon_sha256":"ec75e4ab4b8a7ac0fca680b0e708780fbbf902e8c2875ea38a8d28264c232b52","abstract_canon_sha256":"57790d584e47c27a59120e81510dc4399dba8347dce24f045f6cb2e60742ad18"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:09:51.036659Z","signature_b64":"8b4sSU8m3IVPpTzxu6n3zDXEvtlej9zpNpJiyYQloNTq7csMWCYsAhRnjsDQl5yZVq7KG15NSA+ieYJudwpaBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"84699b74b384ce1e28c899a0728ba0f4e487b99caf08f1d1ebe8373e7e742792","last_reissued_at":"2026-07-05T04:09:51.036192Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:09:51.036192Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Across the Green Valley with HST grisms: colour evolution, crossing time-scales and the growth of the red sequence at $z=1.0-1.8$","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.GA","authors_text":"Camilla Pacifici, Chris J. Willott, Ga\\\"el Noirot, Kartheik Iyer, Marcin Sawicki, Maru\\v{s}a Brada\\v{c}, Roberto Abraham, Swara Ravindranath, Thibaud Moutard","submitted_at":"2022-03-11T19:00:00Z","abstract_excerpt":"We measure the colour evolution and quenching time-scales of $z=1.0-1.8$ galaxies across the green valley. We derive rest-frame $NUVrK$ colours and select blue-cloud, green-valley and red-sequence galaxies from the spectral energy distribution modelling of CANDELS GOODS-South and UDS multi-band photometry. Separately, we constrain the star-formation history (SFH) parameters (ages, $\\tau$) of these galaxies by fitting their deep archival HST grism spectroscopy. We derive the galaxy colour-age relation and show that only rapidly evolving galaxies with characteristic delayed-$\\tau$ SFH time-scale"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.06185","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/2203.06185/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":"2203.06185","created_at":"2026-07-05T04:09:51.036258+00:00"},{"alias_kind":"arxiv_version","alias_value":"2203.06185v1","created_at":"2026-07-05T04:09:51.036258+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.06185","created_at":"2026-07-05T04:09:51.036258+00:00"},{"alias_kind":"pith_short_12","alias_value":"QRUZW5FTQTHB","created_at":"2026-07-05T04:09:51.036258+00:00"},{"alias_kind":"pith_short_16","alias_value":"QRUZW5FTQTHB4KGI","created_at":"2026-07-05T04:09:51.036258+00:00"},{"alias_kind":"pith_short_8","alias_value":"QRUZW5FT","created_at":"2026-07-05T04:09:51.036258+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.11378","citing_title":"The Light Curve of Wind-Reprocessed Tidal Disruption Events","ref_index":5,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QRUZW5FTQTHB4KGITGQHFC5A6T","json":"https://pith.science/pith/QRUZW5FTQTHB4KGITGQHFC5A6T.json","graph_json":"https://pith.science/api/pith-number/QRUZW5FTQTHB4KGITGQHFC5A6T/graph.json","events_json":"https://pith.science/api/pith-number/QRUZW5FTQTHB4KGITGQHFC5A6T/events.json","paper":"https://pith.science/paper/QRUZW5FT"},"agent_actions":{"view_html":"https://pith.science/pith/QRUZW5FTQTHB4KGITGQHFC5A6T","download_json":"https://pith.science/pith/QRUZW5FTQTHB4KGITGQHFC5A6T.json","view_paper":"https://pith.science/paper/QRUZW5FT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2203.06185&json=true","fetch_graph":"https://pith.science/api/pith-number/QRUZW5FTQTHB4KGITGQHFC5A6T/graph.json","fetch_events":"https://pith.science/api/pith-number/QRUZW5FTQTHB4KGITGQHFC5A6T/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QRUZW5FTQTHB4KGITGQHFC5A6T/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QRUZW5FTQTHB4KGITGQHFC5A6T/action/storage_attestation","attest_author":"https://pith.science/pith/QRUZW5FTQTHB4KGITGQHFC5A6T/action/author_attestation","sign_citation":"https://pith.science/pith/QRUZW5FTQTHB4KGITGQHFC5A6T/action/citation_signature","submit_replication":"https://pith.science/pith/QRUZW5FTQTHB4KGITGQHFC5A6T/action/replication_record"}},"created_at":"2026-07-05T04:09:51.036258+00:00","updated_at":"2026-07-05T04:09:51.036258+00:00"}