{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:Q5VJEDOBO6WGV56TKGKMHYFULT","short_pith_number":"pith:Q5VJEDOB","schema_version":"1.0","canonical_sha256":"876a920dc177ac6af7d35194c3e0b45cfa6f79572f2ee512396789c6f282952c","source":{"kind":"arxiv","id":"2202.05962","version":1},"attestation_state":"computed","paper":{"title":"High-throughput discovery of chemical structure-polarity relationships combining automation and machine learning techniques","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cond-mat.mtrl-sci","cs.LG"],"primary_cat":"physics.chem-ph","authors_text":"Dongxiao Zhang, Fanyang Mo, Hao Xu, Jianning Zhang, Jinglong Lin, Michael C. Young, Qianyi Liu, Yang Yang, Yan Xu, Yuntian Chen","submitted_at":"2022-02-12T03:00:36Z","abstract_excerpt":"As an essential attribute of organic compounds, polarity has a profound influence on many molecular properties such as solubility and phase transition temperature. Thin layer chromatography (TLC) represents a commonly used technique for polarity measurement. However, current TLC analysis presents several problems, including the need for a large number of attempts to obtain suitable conditions, as well as irreproducibility due to non-standardization. Herein, we describe an automated experiment system for TLC analysis. This system is designed to conduct TLC analysis automatically, facilitating h"},"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":"2202.05962","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"physics.chem-ph","submitted_at":"2022-02-12T03:00:36Z","cross_cats_sorted":["cond-mat.mtrl-sci","cs.LG"],"title_canon_sha256":"bd27704d0c486a97848005d1b254b2954e40c45b87612a6eb079ab2beb254bff","abstract_canon_sha256":"6d12984194ab0695d00d30b4eab7d92012808be89fa52286c08474da86fe9e14"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:17:25.320669Z","signature_b64":"/UPJkIXr9kLq3P5jYantf+WiesyFl06DntCHmj2QX6yo06HHfcb7RcE2MNM0dDVYYxyvwLBaZN3pov5fAwPHCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"876a920dc177ac6af7d35194c3e0b45cfa6f79572f2ee512396789c6f282952c","last_reissued_at":"2026-07-05T05:17:25.320199Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:17:25.320199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"High-throughput discovery of chemical structure-polarity relationships combining automation and machine learning techniques","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cond-mat.mtrl-sci","cs.LG"],"primary_cat":"physics.chem-ph","authors_text":"Dongxiao Zhang, Fanyang Mo, Hao Xu, Jianning Zhang, Jinglong Lin, Michael C. Young, Qianyi Liu, Yang Yang, Yan Xu, Yuntian Chen","submitted_at":"2022-02-12T03:00:36Z","abstract_excerpt":"As an essential attribute of organic compounds, polarity has a profound influence on many molecular properties such as solubility and phase transition temperature. Thin layer chromatography (TLC) represents a commonly used technique for polarity measurement. However, current TLC analysis presents several problems, including the need for a large number of attempts to obtain suitable conditions, as well as irreproducibility due to non-standardization. Herein, we describe an automated experiment system for TLC analysis. This system is designed to conduct TLC analysis automatically, facilitating h"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.05962","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/2202.05962/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":"2202.05962","created_at":"2026-07-05T05:17:25.320256+00:00"},{"alias_kind":"arxiv_version","alias_value":"2202.05962v1","created_at":"2026-07-05T05:17:25.320256+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.05962","created_at":"2026-07-05T05:17:25.320256+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q5VJEDOBO6WG","created_at":"2026-07-05T05:17:25.320256+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q5VJEDOBO6WGV56T","created_at":"2026-07-05T05:17:25.320256+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q5VJEDOB","created_at":"2026-07-05T05:17:25.320256+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/Q5VJEDOBO6WGV56TKGKMHYFULT","json":"https://pith.science/pith/Q5VJEDOBO6WGV56TKGKMHYFULT.json","graph_json":"https://pith.science/api/pith-number/Q5VJEDOBO6WGV56TKGKMHYFULT/graph.json","events_json":"https://pith.science/api/pith-number/Q5VJEDOBO6WGV56TKGKMHYFULT/events.json","paper":"https://pith.science/paper/Q5VJEDOB"},"agent_actions":{"view_html":"https://pith.science/pith/Q5VJEDOBO6WGV56TKGKMHYFULT","download_json":"https://pith.science/pith/Q5VJEDOBO6WGV56TKGKMHYFULT.json","view_paper":"https://pith.science/paper/Q5VJEDOB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2202.05962&json=true","fetch_graph":"https://pith.science/api/pith-number/Q5VJEDOBO6WGV56TKGKMHYFULT/graph.json","fetch_events":"https://pith.science/api/pith-number/Q5VJEDOBO6WGV56TKGKMHYFULT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q5VJEDOBO6WGV56TKGKMHYFULT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q5VJEDOBO6WGV56TKGKMHYFULT/action/storage_attestation","attest_author":"https://pith.science/pith/Q5VJEDOBO6WGV56TKGKMHYFULT/action/author_attestation","sign_citation":"https://pith.science/pith/Q5VJEDOBO6WGV56TKGKMHYFULT/action/citation_signature","submit_replication":"https://pith.science/pith/Q5VJEDOBO6WGV56TKGKMHYFULT/action/replication_record"}},"created_at":"2026-07-05T05:17:25.320256+00:00","updated_at":"2026-07-05T05:17:25.320256+00:00"}