{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:CADDJE3WJWC53NF6DSCIQPOT5Z","short_pith_number":"pith:CADDJE3W","schema_version":"1.0","canonical_sha256":"10063493764d85ddb4be1c84883dd3ee4dbc5c87becade6dd00a4cf3d56a5fdc","source":{"kind":"arxiv","id":"1706.07236","version":2},"attestation_state":"computed","paper":{"title":"Apparent cosmic acceleration from type Ia supernovae","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["gr-qc"],"primary_cat":"astro-ph.CO","authors_text":"Asta Heinesen, David L. Wiltshire, Lawrence H. Dam","submitted_at":"2017-06-22T10:07:05Z","abstract_excerpt":"Parameters that quantify the acceleration of cosmic expansion are conventionally determined within the standard Friedmann-Lemaitre-Robertson-Walker (FLRW) model, which fixes spatial curvature to be homogeneous. Generic averages of Einstein's equations in inhomogeneous cosmology lead to models with non-rigidly evolving average spatial curvature, and different parametrizations of apparent cosmic acceleration. The timescape cosmology is a viable example of such a model without dark energy. Using the largest available supernova data set, the JLA catalogue, we find that the timescape model fits the"},"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":"1706.07236","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2017-06-22T10:07:05Z","cross_cats_sorted":["gr-qc"],"title_canon_sha256":"d5a757349bcd53088924e5e58c2a8b76ee8440ba50a0c83bbfa14eace7a1cdcd","abstract_canon_sha256":"a89a83ae2620a6b389a99e21ef80f370d264dd6d444edee0422cf4cd30485175"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:35:13.643191Z","signature_b64":"Mplhni24Mw2yy8rh1sNA/073yOox1o687qVG3J+UoohK2E9jW0J7hRCHk4KTvJNaIOQZ2o5LMLtIFLDT4QFNDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"10063493764d85ddb4be1c84883dd3ee4dbc5c87becade6dd00a4cf3d56a5fdc","last_reissued_at":"2026-05-18T00:35:13.642692Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:35:13.642692Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Apparent cosmic acceleration from type Ia supernovae","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["gr-qc"],"primary_cat":"astro-ph.CO","authors_text":"Asta Heinesen, David L. Wiltshire, Lawrence H. Dam","submitted_at":"2017-06-22T10:07:05Z","abstract_excerpt":"Parameters that quantify the acceleration of cosmic expansion are conventionally determined within the standard Friedmann-Lemaitre-Robertson-Walker (FLRW) model, which fixes spatial curvature to be homogeneous. Generic averages of Einstein's equations in inhomogeneous cosmology lead to models with non-rigidly evolving average spatial curvature, and different parametrizations of apparent cosmic acceleration. The timescape cosmology is a viable example of such a model without dark energy. Using the largest available supernova data set, the JLA catalogue, we find that the timescape model fits the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.07236","kind":"arxiv","version":2},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1706.07236","created_at":"2026-05-18T00:35:13.642772+00:00"},{"alias_kind":"arxiv_version","alias_value":"1706.07236v2","created_at":"2026-05-18T00:35:13.642772+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.07236","created_at":"2026-05-18T00:35:13.642772+00:00"},{"alias_kind":"pith_short_12","alias_value":"CADDJE3WJWC5","created_at":"2026-05-18T12:31:10.602751+00:00"},{"alias_kind":"pith_short_16","alias_value":"CADDJE3WJWC53NF6","created_at":"2026-05-18T12:31:10.602751+00:00"},{"alias_kind":"pith_short_8","alias_value":"CADDJE3W","created_at":"2026-05-18T12:31:10.602751+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.05822","citing_title":"Model-independent constraints on generalized FLRW consistency relations with bootstrap-based symbolic regression","ref_index":33,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CADDJE3WJWC53NF6DSCIQPOT5Z","json":"https://pith.science/pith/CADDJE3WJWC53NF6DSCIQPOT5Z.json","graph_json":"https://pith.science/api/pith-number/CADDJE3WJWC53NF6DSCIQPOT5Z/graph.json","events_json":"https://pith.science/api/pith-number/CADDJE3WJWC53NF6DSCIQPOT5Z/events.json","paper":"https://pith.science/paper/CADDJE3W"},"agent_actions":{"view_html":"https://pith.science/pith/CADDJE3WJWC53NF6DSCIQPOT5Z","download_json":"https://pith.science/pith/CADDJE3WJWC53NF6DSCIQPOT5Z.json","view_paper":"https://pith.science/paper/CADDJE3W","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1706.07236&json=true","fetch_graph":"https://pith.science/api/pith-number/CADDJE3WJWC53NF6DSCIQPOT5Z/graph.json","fetch_events":"https://pith.science/api/pith-number/CADDJE3WJWC53NF6DSCIQPOT5Z/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CADDJE3WJWC53NF6DSCIQPOT5Z/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CADDJE3WJWC53NF6DSCIQPOT5Z/action/storage_attestation","attest_author":"https://pith.science/pith/CADDJE3WJWC53NF6DSCIQPOT5Z/action/author_attestation","sign_citation":"https://pith.science/pith/CADDJE3WJWC53NF6DSCIQPOT5Z/action/citation_signature","submit_replication":"https://pith.science/pith/CADDJE3WJWC53NF6DSCIQPOT5Z/action/replication_record"}},"created_at":"2026-05-18T00:35:13.642772+00:00","updated_at":"2026-05-18T00:35:13.642772+00:00"}