{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:RW5ZD6NUMABMHIFVL6J65EX3UQ","short_pith_number":"pith:RW5ZD6NU","schema_version":"1.0","canonical_sha256":"8dbb91f9b46002c3a0b55f93ee92fba4379598e279bb2f15bd22e6785a91f1d1","source":{"kind":"arxiv","id":"1506.00171","version":1},"attestation_state":"computed","paper":{"title":"PolyChord: next-generation nested sampling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"A.N. Lasenby, M.P. Hobson, W.J. Handley","submitted_at":"2015-05-30T22:17:35Z","abstract_excerpt":"PolyChord is a novel nested sampling algorithm tailored for high-dimensional parameter spaces. This paper coincides with the release of PolyChord v1.3, and provides an extensive account of the algorithm. PolyChord utilises slice sampling at each iteration to sample within the hard likelihood constraint of nested sampling. It can identify and evolve separate modes of a posterior semi-independently, and is parallelised using openMPI. It is capable of exploiting a hierarchy of parameter speeds such as those present in CosmoMC and CAMB, and is now in use in the CosmoChord and ModeChord codes. Poly"},"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":"1506.00171","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2015-05-30T22:17:35Z","cross_cats_sorted":[],"title_canon_sha256":"2f4e881631dc064abbdb206b6e4a001e25ed7d7ea30e855838a30e7b8963f528","abstract_canon_sha256":"6e93b59e41484d936b5f26f5c83d41c1d839e2a935fa3fceec8b6eadd300f903"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:31:38.690258Z","signature_b64":"KWciJ+wT5toz8XF1+TfBtpoVZKWu+CP2ng+APx9qHcO9/KCevSKHnWhVj0GHftlSlndollntGQI1Q5nzgBcfBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8dbb91f9b46002c3a0b55f93ee92fba4379598e279bb2f15bd22e6785a91f1d1","last_reissued_at":"2026-05-18T01:31:38.689747Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:31:38.689747Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"PolyChord: next-generation nested sampling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"A.N. Lasenby, M.P. Hobson, W.J. Handley","submitted_at":"2015-05-30T22:17:35Z","abstract_excerpt":"PolyChord is a novel nested sampling algorithm tailored for high-dimensional parameter spaces. This paper coincides with the release of PolyChord v1.3, and provides an extensive account of the algorithm. PolyChord utilises slice sampling at each iteration to sample within the hard likelihood constraint of nested sampling. It can identify and evolve separate modes of a posterior semi-independently, and is parallelised using openMPI. It is capable of exploiting a hierarchy of parameter speeds such as those present in CosmoMC and CAMB, and is now in use in the CosmoChord and ModeChord codes. Poly"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1506.00171","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1506.00171","created_at":"2026-05-18T01:31:38.689818+00:00"},{"alias_kind":"arxiv_version","alias_value":"1506.00171v1","created_at":"2026-05-18T01:31:38.689818+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1506.00171","created_at":"2026-05-18T01:31:38.689818+00:00"},{"alias_kind":"pith_short_12","alias_value":"RW5ZD6NUMABM","created_at":"2026-05-18T12:29:39.896362+00:00"},{"alias_kind":"pith_short_16","alias_value":"RW5ZD6NUMABMHIFV","created_at":"2026-05-18T12:29:39.896362+00:00"},{"alias_kind":"pith_short_8","alias_value":"RW5ZD6NU","created_at":"2026-05-18T12:29:39.896362+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":21,"internal_anchor_count":19,"sample":[{"citing_arxiv_id":"2606.17951","citing_title":"Data-Driven Discovery of a Simple Phantom-Crossing Dark Energy Parametrization","ref_index":45,"is_internal_anchor":true},{"citing_arxiv_id":"2606.05853","citing_title":"Reconstructing dark energy with fewer assumptions","ref_index":120,"is_internal_anchor":true},{"citing_arxiv_id":"2607.00952","citing_title":"Native-resolution retrievals of VHS 1256-1257 b spanning the JWST/NIRSpec wavelength range: Chemical composition of a partially cloudy atmosphere","ref_index":39,"is_internal_anchor":true},{"citing_arxiv_id":"2605.30236","citing_title":"Signals from the early Universe: a comprehensive search for primordial features in Planck CMB datasets","ref_index":86,"is_internal_anchor":true},{"citing_arxiv_id":"2605.30259","citing_title":"Late-time Quantum Vacuum Decay and its Cosmological Implications","ref_index":82,"is_internal_anchor":true},{"citing_arxiv_id":"2606.27049","citing_title":"Quintom Model Perturbations","ref_index":20,"is_internal_anchor":true},{"citing_arxiv_id":"2602.11936","citing_title":"Probing Dynamical Dark Energy with Late-Time Data: Evidence, Tensions, and the Limits of the $w_0w_a$CDM Framework","ref_index":227,"is_internal_anchor":true},{"citing_arxiv_id":"2603.05472","citing_title":"The Bayesian view of DESI DR2 with unimpeded: Evidence and tension in a combined analysis with CMB and supernovae across cosmological models","ref_index":11,"is_internal_anchor":true},{"citing_arxiv_id":"2605.18615","citing_title":"Primordial power spectrum reconstructions from BOSS + eBOSS","ref_index":92,"is_internal_anchor":true},{"citing_arxiv_id":"2105.13549","citing_title":"Dark Energy Survey Year 3 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing","ref_index":186,"is_internal_anchor":true},{"citing_arxiv_id":"2006.11237","citing_title":"2020 Global reassessment of the neutrino oscillation picture","ref_index":90,"is_internal_anchor":true},{"citing_arxiv_id":"2404.03001","citing_title":"DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman Alpha Forest","ref_index":94,"is_internal_anchor":true},{"citing_arxiv_id":"2508.01759","citing_title":"Resolving the Planck-DESI tension by nonminimally coupled quintessence","ref_index":85,"is_internal_anchor":true},{"citing_arxiv_id":"2509.09202","citing_title":"Interacting $k$-essence field with non-pressureless Dark Matter: Cosmological Dynamics and Observational Constraints","ref_index":101,"is_internal_anchor":true},{"citing_arxiv_id":"2511.10631","citing_title":"A Bayesian Perspective on Evidence for Evolving Dark Energy","ref_index":13,"is_internal_anchor":true},{"citing_arxiv_id":"2512.20832","citing_title":"Thawing Quintessence: Priors, evidence, and likely trajectories","ref_index":62,"is_internal_anchor":true},{"citing_arxiv_id":"2503.14739","citing_title":"DESI DR2 Results I: Baryon Acoustic Oscillations from the Lyman Alpha Forest","ref_index":78,"is_internal_anchor":true},{"citing_arxiv_id":"1910.13970","citing_title":"GetDist: a Python package for analysing Monte Carlo samples","ref_index":24,"is_internal_anchor":true},{"citing_arxiv_id":"2005.05290","citing_title":"Cobaya: Code for Bayesian Analysis of hierarchical physical models","ref_index":8,"is_internal_anchor":true},{"citing_arxiv_id":"2604.02204","citing_title":"Non-minimally coupled quintessence with sign-switching interaction","ref_index":74,"is_internal_anchor":false},{"citing_arxiv_id":"2604.21671","citing_title":"Saturation Mechanisms in the Interacting Dark Sector","ref_index":99,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/RW5ZD6NUMABMHIFVL6J65EX3UQ","json":"https://pith.science/pith/RW5ZD6NUMABMHIFVL6J65EX3UQ.json","graph_json":"https://pith.science/api/pith-number/RW5ZD6NUMABMHIFVL6J65EX3UQ/graph.json","events_json":"https://pith.science/api/pith-number/RW5ZD6NUMABMHIFVL6J65EX3UQ/events.json","paper":"https://pith.science/paper/RW5ZD6NU"},"agent_actions":{"view_html":"https://pith.science/pith/RW5ZD6NUMABMHIFVL6J65EX3UQ","download_json":"https://pith.science/pith/RW5ZD6NUMABMHIFVL6J65EX3UQ.json","view_paper":"https://pith.science/paper/RW5ZD6NU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1506.00171&json=true","fetch_graph":"https://pith.science/api/pith-number/RW5ZD6NUMABMHIFVL6J65EX3UQ/graph.json","fetch_events":"https://pith.science/api/pith-number/RW5ZD6NUMABMHIFVL6J65EX3UQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RW5ZD6NUMABMHIFVL6J65EX3UQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RW5ZD6NUMABMHIFVL6J65EX3UQ/action/storage_attestation","attest_author":"https://pith.science/pith/RW5ZD6NUMABMHIFVL6J65EX3UQ/action/author_attestation","sign_citation":"https://pith.science/pith/RW5ZD6NUMABMHIFVL6J65EX3UQ/action/citation_signature","submit_replication":"https://pith.science/pith/RW5ZD6NUMABMHIFVL6J65EX3UQ/action/replication_record"}},"created_at":"2026-05-18T01:31:38.689818+00:00","updated_at":"2026-05-18T01:31:38.689818+00:00"}