{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:CL2CQ43ZEGC4F6R7PM2Q5VS7KW","short_pith_number":"pith:CL2CQ43Z","canonical_record":{"source":{"id":"2209.00605","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.chem-ph","submitted_at":"2022-09-01T17:17:31Z","cross_cats_sorted":[],"title_canon_sha256":"940d03ad215bfe46956c6fa85af0c88803b7142af981faf0e5780f249f85a07f","abstract_canon_sha256":"8d5dcd4b2a5bb45c54b637fb03be07f899e57eb97af5c19a1bfbcae6d879717b"},"schema_version":"1.0"},"canonical_sha256":"12f42873792185c2fa3f7b350ed65f55b7df03a165b8ad61cbab167dd4b9811d","source":{"kind":"arxiv","id":"2209.00605","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.00605","created_at":"2026-07-05T04:53:51Z"},{"alias_kind":"arxiv_version","alias_value":"2209.00605v1","created_at":"2026-07-05T04:53:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.00605","created_at":"2026-07-05T04:53:51Z"},{"alias_kind":"pith_short_12","alias_value":"CL2CQ43ZEGC4","created_at":"2026-07-05T04:53:51Z"},{"alias_kind":"pith_short_16","alias_value":"CL2CQ43ZEGC4F6R7","created_at":"2026-07-05T04:53:51Z"},{"alias_kind":"pith_short_8","alias_value":"CL2CQ43Z","created_at":"2026-07-05T04:53:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:CL2CQ43ZEGC4F6R7PM2Q5VS7KW","target":"record","payload":{"canonical_record":{"source":{"id":"2209.00605","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.chem-ph","submitted_at":"2022-09-01T17:17:31Z","cross_cats_sorted":[],"title_canon_sha256":"940d03ad215bfe46956c6fa85af0c88803b7142af981faf0e5780f249f85a07f","abstract_canon_sha256":"8d5dcd4b2a5bb45c54b637fb03be07f899e57eb97af5c19a1bfbcae6d879717b"},"schema_version":"1.0"},"canonical_sha256":"12f42873792185c2fa3f7b350ed65f55b7df03a165b8ad61cbab167dd4b9811d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:53:51.890985Z","signature_b64":"Gd9cfv1WXAM4Z6yYF5wpFUQIA6Dw6QRzJgsp8v17h7TDmqiqkriV57yjDMEW09HVoB83UcctGYPIXKhMYo+OAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"12f42873792185c2fa3f7b350ed65f55b7df03a165b8ad61cbab167dd4b9811d","last_reissued_at":"2026-07-05T04:53:51.890582Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:53:51.890582Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.00605","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:53:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Eu+lwxqSutJXnqW7SRv2rqAWAbSURBQshvD11kce6ixk4/y4C2Dgjf9ePyoggWR0zEZ5Hj5ygWFgkKbRe9cSDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:32:54.814483Z"},"content_sha256":"77b10a09bd00378a3e9f5d174ed6e2379b2c79d07d7f3a7dfc2806ac821d7c3e","schema_version":"1.0","event_id":"sha256:77b10a09bd00378a3e9f5d174ed6e2379b2c79d07d7f3a7dfc2806ac821d7c3e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:CL2CQ43ZEGC4F6R7PM2Q5VS7KW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Making Thermodynamic Models of Mixtures Predictive by Machine Learning: Matrix Completion of Pair Interactions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.chem-ph","authors_text":"Fabian Jirasek, Hans Hasse, Marius Kloft, Michael Bortz, Robert Bamler, Sophie Fellenz, Stephan Mandt","submitted_at":"2022-09-01T17:17:31Z","abstract_excerpt":"Predictive models of thermodynamic properties of mixtures are paramount in chemical engineering and chemistry. Classical thermodynamic models are successful in generalizing over (continuous) conditions like temperature and concentration. On the other hand, matrix completion methods (MCMs) from machine learning successfully generalize over (discrete) binary systems; these MCMs can make predictions without any data for a given binary system by implicitly learning commonalities across systems. In the present work, we combine the strengths of both worlds in a hybrid approach. The underlying idea i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.00605","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/2209.00605/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:53:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vx415PptR+Qqyh4D7u0l13RIGmYPzL035DOR4KOVeZ/EFo7NK43i/WdPSEGDVzMPcZaK+8wy26JuT7p/iCzXCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:32:54.815144Z"},"content_sha256":"70fe3e5452cde48ff563d85e9e70db21ea6fd3c82a7fbf139d8392fd109d9bad","schema_version":"1.0","event_id":"sha256:70fe3e5452cde48ff563d85e9e70db21ea6fd3c82a7fbf139d8392fd109d9bad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CL2CQ43ZEGC4F6R7PM2Q5VS7KW/bundle.json","state_url":"https://pith.science/pith/CL2CQ43ZEGC4F6R7PM2Q5VS7KW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CL2CQ43ZEGC4F6R7PM2Q5VS7KW/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-03T17:32:54Z","links":{"resolver":"https://pith.science/pith/CL2CQ43ZEGC4F6R7PM2Q5VS7KW","bundle":"https://pith.science/pith/CL2CQ43ZEGC4F6R7PM2Q5VS7KW/bundle.json","state":"https://pith.science/pith/CL2CQ43ZEGC4F6R7PM2Q5VS7KW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CL2CQ43ZEGC4F6R7PM2Q5VS7KW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:CL2CQ43ZEGC4F6R7PM2Q5VS7KW","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"8d5dcd4b2a5bb45c54b637fb03be07f899e57eb97af5c19a1bfbcae6d879717b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.chem-ph","submitted_at":"2022-09-01T17:17:31Z","title_canon_sha256":"940d03ad215bfe46956c6fa85af0c88803b7142af981faf0e5780f249f85a07f"},"schema_version":"1.0","source":{"id":"2209.00605","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.00605","created_at":"2026-07-05T04:53:51Z"},{"alias_kind":"arxiv_version","alias_value":"2209.00605v1","created_at":"2026-07-05T04:53:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.00605","created_at":"2026-07-05T04:53:51Z"},{"alias_kind":"pith_short_12","alias_value":"CL2CQ43ZEGC4","created_at":"2026-07-05T04:53:51Z"},{"alias_kind":"pith_short_16","alias_value":"CL2CQ43ZEGC4F6R7","created_at":"2026-07-05T04:53:51Z"},{"alias_kind":"pith_short_8","alias_value":"CL2CQ43Z","created_at":"2026-07-05T04:53:51Z"}],"graph_snapshots":[{"event_id":"sha256:70fe3e5452cde48ff563d85e9e70db21ea6fd3c82a7fbf139d8392fd109d9bad","target":"graph","created_at":"2026-07-05T04:53:51Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2209.00605/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Predictive models of thermodynamic properties of mixtures are paramount in chemical engineering and chemistry. Classical thermodynamic models are successful in generalizing over (continuous) conditions like temperature and concentration. On the other hand, matrix completion methods (MCMs) from machine learning successfully generalize over (discrete) binary systems; these MCMs can make predictions without any data for a given binary system by implicitly learning commonalities across systems. In the present work, we combine the strengths of both worlds in a hybrid approach. The underlying idea i","authors_text":"Fabian Jirasek, Hans Hasse, Marius Kloft, Michael Bortz, Robert Bamler, Sophie Fellenz, Stephan Mandt","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.chem-ph","submitted_at":"2022-09-01T17:17:31Z","title":"Making Thermodynamic Models of Mixtures Predictive by Machine Learning: Matrix Completion of Pair Interactions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.00605","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:77b10a09bd00378a3e9f5d174ed6e2379b2c79d07d7f3a7dfc2806ac821d7c3e","target":"record","created_at":"2026-07-05T04:53:51Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"8d5dcd4b2a5bb45c54b637fb03be07f899e57eb97af5c19a1bfbcae6d879717b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.chem-ph","submitted_at":"2022-09-01T17:17:31Z","title_canon_sha256":"940d03ad215bfe46956c6fa85af0c88803b7142af981faf0e5780f249f85a07f"},"schema_version":"1.0","source":{"id":"2209.00605","kind":"arxiv","version":1}},"canonical_sha256":"12f42873792185c2fa3f7b350ed65f55b7df03a165b8ad61cbab167dd4b9811d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"12f42873792185c2fa3f7b350ed65f55b7df03a165b8ad61cbab167dd4b9811d","first_computed_at":"2026-07-05T04:53:51.890582Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:53:51.890582Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Gd9cfv1WXAM4Z6yYF5wpFUQIA6Dw6QRzJgsp8v17h7TDmqiqkriV57yjDMEW09HVoB83UcctGYPIXKhMYo+OAA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:53:51.890985Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.00605","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:77b10a09bd00378a3e9f5d174ed6e2379b2c79d07d7f3a7dfc2806ac821d7c3e","sha256:70fe3e5452cde48ff563d85e9e70db21ea6fd3c82a7fbf139d8392fd109d9bad"],"state_sha256":"bf0d2bb41dc68bf4b8abfade9caa63e3853a5eaa9046717bafbb23875b7bcec3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t7Iz4lrWN+suXxOgr/tJ78O7Yuv2v5n6AGqz4fpMGG5KCNddF3JdCZg38Tr/kwxKvQhX2DD4QoAtc+nAQecTCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T17:32:54.820386Z","bundle_sha256":"dd0af02ff31f686ff3ca55bf2260e46d2fd767c98c9d9d66dbc1f78346f4a9dc"}}