{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:HPJJSMPIIVPFU66KT33VFLOEA2","short_pith_number":"pith:HPJJSMPI","schema_version":"1.0","canonical_sha256":"3bd29931e8455e5a7bca9ef752adc406b0dcdadb0ccf3bd840c42af78cd3ed58","source":{"kind":"arxiv","id":"1606.06758","version":2},"attestation_state":"computed","paper":{"title":"Comparing cosmic web classifiers using information theory","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM","stat.AP"],"primary_cat":"astro-ph.CO","authors_text":"Benjamin Wandelt, Florent Leclercq, Guilhem Lavaux, Jens Jasche","submitted_at":"2016-06-21T20:31:53Z","abstract_excerpt":"We introduce a decision scheme for optimally choosing a classifier, which segments the cosmic web into different structure types (voids, sheets, filaments, and clusters). Our framework, based on information theory, accounts for the design aims of different classes of possible applications: (i) parameter inference, (ii) model selection, and (iii) prediction of new observations. As an illustration, we use cosmographic maps of web-types in the Sloan Digital Sky Survey to assess the relative performance of the classifiers T-web, DIVA and ORIGAMI for: (i) analyzing the morphology of the cosmic web,"},"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":"1606.06758","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2016-06-21T20:31:53Z","cross_cats_sorted":["astro-ph.IM","stat.AP"],"title_canon_sha256":"cf4b46dd7950deb6a70cb0104409fecade8f83fc926a1785b3a7e3106ee4fc70","abstract_canon_sha256":"a9e841e415906cc5d904fa847ac3f63b82d1470cdf11985261a649734422d3a1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:08:28.540559Z","signature_b64":"YTCOh0lSuk+ufXvym5bNY6tprqUBSZSauudOb2u9ajwPecgY8hv774QX4K+D/hNmYKy4jHt90BmqotNb4mY1Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3bd29931e8455e5a7bca9ef752adc406b0dcdadb0ccf3bd840c42af78cd3ed58","last_reissued_at":"2026-05-18T01:08:28.539979Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:08:28.539979Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Comparing cosmic web classifiers using information theory","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM","stat.AP"],"primary_cat":"astro-ph.CO","authors_text":"Benjamin Wandelt, Florent Leclercq, Guilhem Lavaux, Jens Jasche","submitted_at":"2016-06-21T20:31:53Z","abstract_excerpt":"We introduce a decision scheme for optimally choosing a classifier, which segments the cosmic web into different structure types (voids, sheets, filaments, and clusters). Our framework, based on information theory, accounts for the design aims of different classes of possible applications: (i) parameter inference, (ii) model selection, and (iii) prediction of new observations. As an illustration, we use cosmographic maps of web-types in the Sloan Digital Sky Survey to assess the relative performance of the classifiers T-web, DIVA and ORIGAMI for: (i) analyzing the morphology of the cosmic web,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.06758","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":"1606.06758","created_at":"2026-05-18T01:08:28.540068+00:00"},{"alias_kind":"arxiv_version","alias_value":"1606.06758v2","created_at":"2026-05-18T01:08:28.540068+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.06758","created_at":"2026-05-18T01:08:28.540068+00:00"},{"alias_kind":"pith_short_12","alias_value":"HPJJSMPIIVPF","created_at":"2026-05-18T12:30:19.053100+00:00"},{"alias_kind":"pith_short_16","alias_value":"HPJJSMPIIVPFU66K","created_at":"2026-05-18T12:30:19.053100+00:00"},{"alias_kind":"pith_short_8","alias_value":"HPJJSMPI","created_at":"2026-05-18T12:30:19.053100+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/HPJJSMPIIVPFU66KT33VFLOEA2","json":"https://pith.science/pith/HPJJSMPIIVPFU66KT33VFLOEA2.json","graph_json":"https://pith.science/api/pith-number/HPJJSMPIIVPFU66KT33VFLOEA2/graph.json","events_json":"https://pith.science/api/pith-number/HPJJSMPIIVPFU66KT33VFLOEA2/events.json","paper":"https://pith.science/paper/HPJJSMPI"},"agent_actions":{"view_html":"https://pith.science/pith/HPJJSMPIIVPFU66KT33VFLOEA2","download_json":"https://pith.science/pith/HPJJSMPIIVPFU66KT33VFLOEA2.json","view_paper":"https://pith.science/paper/HPJJSMPI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1606.06758&json=true","fetch_graph":"https://pith.science/api/pith-number/HPJJSMPIIVPFU66KT33VFLOEA2/graph.json","fetch_events":"https://pith.science/api/pith-number/HPJJSMPIIVPFU66KT33VFLOEA2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HPJJSMPIIVPFU66KT33VFLOEA2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HPJJSMPIIVPFU66KT33VFLOEA2/action/storage_attestation","attest_author":"https://pith.science/pith/HPJJSMPIIVPFU66KT33VFLOEA2/action/author_attestation","sign_citation":"https://pith.science/pith/HPJJSMPIIVPFU66KT33VFLOEA2/action/citation_signature","submit_replication":"https://pith.science/pith/HPJJSMPIIVPFU66KT33VFLOEA2/action/replication_record"}},"created_at":"2026-05-18T01:08:28.540068+00:00","updated_at":"2026-05-18T01:08:28.540068+00:00"}