{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:PWVTK4V7SUBQR2BJUX7CRIAIFK","short_pith_number":"pith:PWVTK4V7","schema_version":"1.0","canonical_sha256":"7dab3572bf950308e829a5fe28a0082abec401decc304e278feaa324d0d45d57","source":{"kind":"arxiv","id":"2212.03731","version":2},"attestation_state":"computed","paper":{"title":"Designing Feature Vector Representations: A case study from Chemistry","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Andreas Kerren, Daniel Witschard, Ingrid Hotz, Signe Sidwall Thygesen, Talha Bin Masood","submitted_at":"2022-12-07T15:53:00Z","abstract_excerpt":"We present a case study investigating feature descriptors in the context of the analysis of chemical multivariate ensemble data. The data of each ensemble member consists of three parts: the design parameters for each ensemble member, field data resulting from the numerical simulations, and physical properties of the molecules. Since feature-based methods have the potential to reduce the data complexity and facilitate comparison and clustering, we are focusing on such methods. However, there are many options to design the feature vector representation and there is no obvious preference. To get"},"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":"2212.03731","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2022-12-07T15:53:00Z","cross_cats_sorted":[],"title_canon_sha256":"cc7e85e302a6caa86a983dc2cb020c286f84b09c47529ccf05504ab79eb63302","abstract_canon_sha256":"7d15e46a15b947205512c8f8760010ce42c2041e36fbe8553b4e13dcaebdf0d5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:25:32.191361Z","signature_b64":"r1gZEpkKy5danOjZ+gA4QkHnjRLUDwqxFAY0KGzlJAbp2P6RRLMhp0ipbjoURWS2q3ZER96flsXIkd6GmI0YDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7dab3572bf950308e829a5fe28a0082abec401decc304e278feaa324d0d45d57","last_reissued_at":"2026-07-05T05:25:32.190883Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:25:32.190883Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Designing Feature Vector Representations: A case study from Chemistry","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Andreas Kerren, Daniel Witschard, Ingrid Hotz, Signe Sidwall Thygesen, Talha Bin Masood","submitted_at":"2022-12-07T15:53:00Z","abstract_excerpt":"We present a case study investigating feature descriptors in the context of the analysis of chemical multivariate ensemble data. The data of each ensemble member consists of three parts: the design parameters for each ensemble member, field data resulting from the numerical simulations, and physical properties of the molecules. Since feature-based methods have the potential to reduce the data complexity and facilitate comparison and clustering, we are focusing on such methods. However, there are many options to design the feature vector representation and there is no obvious preference. To get"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.03731","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2212.03731/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":"2212.03731","created_at":"2026-07-05T05:25:32.190937+00:00"},{"alias_kind":"arxiv_version","alias_value":"2212.03731v2","created_at":"2026-07-05T05:25:32.190937+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.03731","created_at":"2026-07-05T05:25:32.190937+00:00"},{"alias_kind":"pith_short_12","alias_value":"PWVTK4V7SUBQ","created_at":"2026-07-05T05:25:32.190937+00:00"},{"alias_kind":"pith_short_16","alias_value":"PWVTK4V7SUBQR2BJ","created_at":"2026-07-05T05:25:32.190937+00:00"},{"alias_kind":"pith_short_8","alias_value":"PWVTK4V7","created_at":"2026-07-05T05:25:32.190937+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/PWVTK4V7SUBQR2BJUX7CRIAIFK","json":"https://pith.science/pith/PWVTK4V7SUBQR2BJUX7CRIAIFK.json","graph_json":"https://pith.science/api/pith-number/PWVTK4V7SUBQR2BJUX7CRIAIFK/graph.json","events_json":"https://pith.science/api/pith-number/PWVTK4V7SUBQR2BJUX7CRIAIFK/events.json","paper":"https://pith.science/paper/PWVTK4V7"},"agent_actions":{"view_html":"https://pith.science/pith/PWVTK4V7SUBQR2BJUX7CRIAIFK","download_json":"https://pith.science/pith/PWVTK4V7SUBQR2BJUX7CRIAIFK.json","view_paper":"https://pith.science/paper/PWVTK4V7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2212.03731&json=true","fetch_graph":"https://pith.science/api/pith-number/PWVTK4V7SUBQR2BJUX7CRIAIFK/graph.json","fetch_events":"https://pith.science/api/pith-number/PWVTK4V7SUBQR2BJUX7CRIAIFK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PWVTK4V7SUBQR2BJUX7CRIAIFK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PWVTK4V7SUBQR2BJUX7CRIAIFK/action/storage_attestation","attest_author":"https://pith.science/pith/PWVTK4V7SUBQR2BJUX7CRIAIFK/action/author_attestation","sign_citation":"https://pith.science/pith/PWVTK4V7SUBQR2BJUX7CRIAIFK/action/citation_signature","submit_replication":"https://pith.science/pith/PWVTK4V7SUBQR2BJUX7CRIAIFK/action/replication_record"}},"created_at":"2026-07-05T05:25:32.190937+00:00","updated_at":"2026-07-05T05:25:32.190937+00:00"}