{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:7VLAODC2RNZTKG2AJPIA7KRGJZ","short_pith_number":"pith:7VLAODC2","canonical_record":{"source":{"id":"2011.13227","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2020-11-26T10:51:50Z","cross_cats_sorted":["cs.LG","cs.SY"],"title_canon_sha256":"fead8c1d22602e8d8d98254a9084a34c71f3b8c9fcee30fd8f4be0b74366211f","abstract_canon_sha256":"dc3e2c3d0f2487f8af455aa7408f17a13bb94c6171093f704b26cd2218b435ac"},"schema_version":"1.0"},"canonical_sha256":"fd56070c5a8b73351b404bd00faa264e40cf913103dc555a9002f2091a5b82df","source":{"kind":"arxiv","id":"2011.13227","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.13227","created_at":"2026-07-05T01:54:52Z"},{"alias_kind":"arxiv_version","alias_value":"2011.13227v1","created_at":"2026-07-05T01:54:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.13227","created_at":"2026-07-05T01:54:52Z"},{"alias_kind":"pith_short_12","alias_value":"7VLAODC2RNZT","created_at":"2026-07-05T01:54:52Z"},{"alias_kind":"pith_short_16","alias_value":"7VLAODC2RNZTKG2A","created_at":"2026-07-05T01:54:52Z"},{"alias_kind":"pith_short_8","alias_value":"7VLAODC2","created_at":"2026-07-05T01:54:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:7VLAODC2RNZTKG2AJPIA7KRGJZ","target":"record","payload":{"canonical_record":{"source":{"id":"2011.13227","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2020-11-26T10:51:50Z","cross_cats_sorted":["cs.LG","cs.SY"],"title_canon_sha256":"fead8c1d22602e8d8d98254a9084a34c71f3b8c9fcee30fd8f4be0b74366211f","abstract_canon_sha256":"dc3e2c3d0f2487f8af455aa7408f17a13bb94c6171093f704b26cd2218b435ac"},"schema_version":"1.0"},"canonical_sha256":"fd56070c5a8b73351b404bd00faa264e40cf913103dc555a9002f2091a5b82df","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:54:52.162605Z","signature_b64":"SR+syeERbE9neVbsFUp9mziHSXs+CqNvyEnHf2P6uetk20SdCAMY3SSGsbsWmsq6P/1hqM7pbwdRLxEddS5KCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fd56070c5a8b73351b404bd00faa264e40cf913103dc555a9002f2091a5b82df","last_reissued_at":"2026-07-05T01:54:52.162016Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:54:52.162016Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2011.13227","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":"2026-07-05T01:54:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EQ9uzgCgjvKPIoBv0iZ8SN7JMaQY2RKoyynP1PH5GClSc/IbrRUY6riRtqDCbfSSN/LD3u0CT+NVpaZKrAj1Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T19:48:01.849726Z"},"content_sha256":"0e009989bf9bfeaed59a73a39a23eed78887881500df5a14da95d118c057205c","schema_version":"1.0","event_id":"sha256:0e009989bf9bfeaed59a73a39a23eed78887881500df5a14da95d118c057205c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:7VLAODC2RNZTKG2AJPIA7KRGJZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Input Convex Neural Networks for Building MPC","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SY"],"primary_cat":"eess.SY","authors_text":"Adrian Schalbetter, Ahmed Aboudonia, Felix B\\\"unning, John Lygeros, Mathias Hudoba de Badyn, Philipp Heer","submitted_at":"2020-11-26T10:51:50Z","abstract_excerpt":"Model Predictive Control in buildings can significantly reduce their energy consumption. The cost and effort necessary for creating and maintaining first principle models for buildings make data-driven modelling an attractive alternative in this domain. In MPC the models form the basis for an optimization problem whose solution provides the control signals to be applied to the system. The fact that this optimization problem has to be solved repeatedly in real-time implies restrictions on the learning architectures that can be used. Here, we adapt Input Convex Neural Networks that are generally"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.13227","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/2011.13227/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":"2026-07-05T01:54:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MsImInsCV0dWNq+FyglnMeoPXzEEo3j4MV0Pdp86jc0I99qxEFvDWvXBKF2F3xYn+G0qIhs67f9FqpYLwywWCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T19:48:01.850310Z"},"content_sha256":"64dafe5e486f7b608f6f95963f5cfdcd5d8087ed72ab2a12f95e41cf2ef3d59b","schema_version":"1.0","event_id":"sha256:64dafe5e486f7b608f6f95963f5cfdcd5d8087ed72ab2a12f95e41cf2ef3d59b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7VLAODC2RNZTKG2AJPIA7KRGJZ/bundle.json","state_url":"https://pith.science/pith/7VLAODC2RNZTKG2AJPIA7KRGJZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7VLAODC2RNZTKG2AJPIA7KRGJZ/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":"2026-08-22T19:48:01Z","links":{"resolver":"https://pith.science/pith/7VLAODC2RNZTKG2AJPIA7KRGJZ","bundle":"https://pith.science/pith/7VLAODC2RNZTKG2AJPIA7KRGJZ/bundle.json","state":"https://pith.science/pith/7VLAODC2RNZTKG2AJPIA7KRGJZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7VLAODC2RNZTKG2AJPIA7KRGJZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:7VLAODC2RNZTKG2AJPIA7KRGJZ","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":"dc3e2c3d0f2487f8af455aa7408f17a13bb94c6171093f704b26cd2218b435ac","cross_cats_sorted":["cs.LG","cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2020-11-26T10:51:50Z","title_canon_sha256":"fead8c1d22602e8d8d98254a9084a34c71f3b8c9fcee30fd8f4be0b74366211f"},"schema_version":"1.0","source":{"id":"2011.13227","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.13227","created_at":"2026-07-05T01:54:52Z"},{"alias_kind":"arxiv_version","alias_value":"2011.13227v1","created_at":"2026-07-05T01:54:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.13227","created_at":"2026-07-05T01:54:52Z"},{"alias_kind":"pith_short_12","alias_value":"7VLAODC2RNZT","created_at":"2026-07-05T01:54:52Z"},{"alias_kind":"pith_short_16","alias_value":"7VLAODC2RNZTKG2A","created_at":"2026-07-05T01:54:52Z"},{"alias_kind":"pith_short_8","alias_value":"7VLAODC2","created_at":"2026-07-05T01:54:52Z"}],"graph_snapshots":[{"event_id":"sha256:64dafe5e486f7b608f6f95963f5cfdcd5d8087ed72ab2a12f95e41cf2ef3d59b","target":"graph","created_at":"2026-07-05T01:54:52Z","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/2011.13227/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Model Predictive Control in buildings can significantly reduce their energy consumption. The cost and effort necessary for creating and maintaining first principle models for buildings make data-driven modelling an attractive alternative in this domain. In MPC the models form the basis for an optimization problem whose solution provides the control signals to be applied to the system. The fact that this optimization problem has to be solved repeatedly in real-time implies restrictions on the learning architectures that can be used. Here, we adapt Input Convex Neural Networks that are generally","authors_text":"Adrian Schalbetter, Ahmed Aboudonia, Felix B\\\"unning, John Lygeros, Mathias Hudoba de Badyn, Philipp Heer","cross_cats":["cs.LG","cs.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2020-11-26T10:51:50Z","title":"Input Convex Neural Networks for Building MPC"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.13227","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":"sha256:0e009989bf9bfeaed59a73a39a23eed78887881500df5a14da95d118c057205c","target":"record","created_at":"2026-07-05T01:54:52Z","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":"dc3e2c3d0f2487f8af455aa7408f17a13bb94c6171093f704b26cd2218b435ac","cross_cats_sorted":["cs.LG","cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2020-11-26T10:51:50Z","title_canon_sha256":"fead8c1d22602e8d8d98254a9084a34c71f3b8c9fcee30fd8f4be0b74366211f"},"schema_version":"1.0","source":{"id":"2011.13227","kind":"arxiv","version":1}},"canonical_sha256":"fd56070c5a8b73351b404bd00faa264e40cf913103dc555a9002f2091a5b82df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fd56070c5a8b73351b404bd00faa264e40cf913103dc555a9002f2091a5b82df","first_computed_at":"2026-07-05T01:54:52.162016Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:54:52.162016Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SR+syeERbE9neVbsFUp9mziHSXs+CqNvyEnHf2P6uetk20SdCAMY3SSGsbsWmsq6P/1hqM7pbwdRLxEddS5KCw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:54:52.162605Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.13227","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0e009989bf9bfeaed59a73a39a23eed78887881500df5a14da95d118c057205c","sha256:64dafe5e486f7b608f6f95963f5cfdcd5d8087ed72ab2a12f95e41cf2ef3d59b"],"state_sha256":"75a2142c6a6625303475519dd8f208626d3afe8f0bf2fed9c7573ccf887cefc7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"udxFfNHLXfjbxyV/lzg2GAcNPq9N0WwaedRn2mq8qw8t/xQCldsG40PNfBNGBQzyfz3TuRtQteUylc5SnH43Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T19:48:01.853827Z","bundle_sha256":"3a28f5dad46a9556051d324cdcf47ef8aa9dead52a0aa3e3de6a73e52551652c"}}