{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:AMEZQ3DHKUUZMQHQTVVC57PCBG","short_pith_number":"pith:AMEZQ3DH","canonical_record":{"source":{"id":"2605.30763","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2026-05-29T02:47:42Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"cb1523fc976f553894e4de7a7f947906b14f5c5690a9e852fbe13b979d105b7b","abstract_canon_sha256":"54513cde28cf1d8a5f1aaba3c43f89ab000e90ccbde02d9ae76580cc5e2cc759"},"schema_version":"1.0"},"canonical_sha256":"0309986c6755299640f09d6a2efde209b3f229125ca3e5228b9e6042d19a2687","source":{"kind":"arxiv","id":"2605.30763","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30763","created_at":"2026-06-01T01:03:15Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30763v1","created_at":"2026-06-01T01:03:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30763","created_at":"2026-06-01T01:03:15Z"},{"alias_kind":"pith_short_12","alias_value":"AMEZQ3DHKUUZ","created_at":"2026-06-01T01:03:15Z"},{"alias_kind":"pith_short_16","alias_value":"AMEZQ3DHKUUZMQHQ","created_at":"2026-06-01T01:03:15Z"},{"alias_kind":"pith_short_8","alias_value":"AMEZQ3DH","created_at":"2026-06-01T01:03:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:AMEZQ3DHKUUZMQHQTVVC57PCBG","target":"record","payload":{"canonical_record":{"source":{"id":"2605.30763","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2026-05-29T02:47:42Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"cb1523fc976f553894e4de7a7f947906b14f5c5690a9e852fbe13b979d105b7b","abstract_canon_sha256":"54513cde28cf1d8a5f1aaba3c43f89ab000e90ccbde02d9ae76580cc5e2cc759"},"schema_version":"1.0"},"canonical_sha256":"0309986c6755299640f09d6a2efde209b3f229125ca3e5228b9e6042d19a2687","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-01T01:03:15.024424Z","signature_b64":"6xhgkduQEfNa5cia4i+WakJg1sRUwpxIEbHkzBNWoGkBG/8cmWxDOgSVhdIn5j8LrLBrCn8Gksn0SGIyh+97Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0309986c6755299640f09d6a2efde209b3f229125ca3e5228b9e6042d19a2687","last_reissued_at":"2026-06-01T01:03:15.023353Z","signature_status":"signed_v1","first_computed_at":"2026-06-01T01:03:15.023353Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.30763","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":"2026-06-01T01:03:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SGoqAuPdCQLKKF3l/FaJoPYZlIjgjbnxVtM3smMC1xnTn8vHzp6J1q+yLvAhauJwVRqv2KmWjaJ2CgwyXAeJAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T02:28:25.385657Z"},"content_sha256":"1e4d8afa11e5f17dda00060a8b2e3b56dcca219bbad100f98d37b11418e6c44d","schema_version":"1.0","event_id":"sha256:1e4d8afa11e5f17dda00060a8b2e3b56dcca219bbad100f98d37b11418e6c44d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:AMEZQ3DHKUUZMQHQTVVC57PCBG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Data-Driven Methodology for Scalable Distributed MPC in Heterogeneous Building Aggregation: From Systematic Feature Selection to Convex Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Kaipeng Xu, Keyue Jiang, Zhuo Zhi","submitted_at":"2026-05-29T02:47:42Z","abstract_excerpt":"Coordinating large-scale, heterogeneous building aggregations for demand response (DR) is impeded by a dual challenge: the computational intractability of centralized Model Predictive Control (MPC) and the inadequacy of conventional feature selection methods, which fail to address the error-compounding nature of multi-step forecasting required by MPC. This paper proposes a comprehensive, data-driven framework that first employs a systematic, MPC-aware feature selection methodology to ensure robust multi-step prediction, then models the complex building dynamics using a novel Input-Convex Encod"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30763","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/2605.30763/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":"2026-06-01T01:03:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mdd31VL/yyGGlQIYQjG7/MCDaD5Xy87dBHPsh2jUymnYfXx71PXUznKxnMagyt7/jAHOZKTAeyuuR2E0715JAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T02:28:25.386046Z"},"content_sha256":"edccfad56f3e19b513d7c7dae1f25dddd9d8b7de2667833db79426bed6c45c29","schema_version":"1.0","event_id":"sha256:edccfad56f3e19b513d7c7dae1f25dddd9d8b7de2667833db79426bed6c45c29"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AMEZQ3DHKUUZMQHQTVVC57PCBG/bundle.json","state_url":"https://pith.science/pith/AMEZQ3DHKUUZMQHQTVVC57PCBG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AMEZQ3DHKUUZMQHQTVVC57PCBG/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":"2026-06-03T02:28:25Z","links":{"resolver":"https://pith.science/pith/AMEZQ3DHKUUZMQHQTVVC57PCBG","bundle":"https://pith.science/pith/AMEZQ3DHKUUZMQHQTVVC57PCBG/bundle.json","state":"https://pith.science/pith/AMEZQ3DHKUUZMQHQTVVC57PCBG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AMEZQ3DHKUUZMQHQTVVC57PCBG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:AMEZQ3DHKUUZMQHQTVVC57PCBG","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":"54513cde28cf1d8a5f1aaba3c43f89ab000e90ccbde02d9ae76580cc5e2cc759","cross_cats_sorted":["cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2026-05-29T02:47:42Z","title_canon_sha256":"cb1523fc976f553894e4de7a7f947906b14f5c5690a9e852fbe13b979d105b7b"},"schema_version":"1.0","source":{"id":"2605.30763","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30763","created_at":"2026-06-01T01:03:15Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30763v1","created_at":"2026-06-01T01:03:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30763","created_at":"2026-06-01T01:03:15Z"},{"alias_kind":"pith_short_12","alias_value":"AMEZQ3DHKUUZ","created_at":"2026-06-01T01:03:15Z"},{"alias_kind":"pith_short_16","alias_value":"AMEZQ3DHKUUZMQHQ","created_at":"2026-06-01T01:03:15Z"},{"alias_kind":"pith_short_8","alias_value":"AMEZQ3DH","created_at":"2026-06-01T01:03:15Z"}],"graph_snapshots":[{"event_id":"sha256:edccfad56f3e19b513d7c7dae1f25dddd9d8b7de2667833db79426bed6c45c29","target":"graph","created_at":"2026-06-01T01:03:15Z","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/2605.30763/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Coordinating large-scale, heterogeneous building aggregations for demand response (DR) is impeded by a dual challenge: the computational intractability of centralized Model Predictive Control (MPC) and the inadequacy of conventional feature selection methods, which fail to address the error-compounding nature of multi-step forecasting required by MPC. This paper proposes a comprehensive, data-driven framework that first employs a systematic, MPC-aware feature selection methodology to ensure robust multi-step prediction, then models the complex building dynamics using a novel Input-Convex Encod","authors_text":"Kaipeng Xu, Keyue Jiang, Zhuo Zhi","cross_cats":["cs.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2026-05-29T02:47:42Z","title":"A Data-Driven Methodology for Scalable Distributed MPC in Heterogeneous Building Aggregation: From Systematic Feature Selection to Convex Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30763","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":"sha256:1e4d8afa11e5f17dda00060a8b2e3b56dcca219bbad100f98d37b11418e6c44d","target":"record","created_at":"2026-06-01T01:03:15Z","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":"54513cde28cf1d8a5f1aaba3c43f89ab000e90ccbde02d9ae76580cc5e2cc759","cross_cats_sorted":["cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2026-05-29T02:47:42Z","title_canon_sha256":"cb1523fc976f553894e4de7a7f947906b14f5c5690a9e852fbe13b979d105b7b"},"schema_version":"1.0","source":{"id":"2605.30763","kind":"arxiv","version":1}},"canonical_sha256":"0309986c6755299640f09d6a2efde209b3f229125ca3e5228b9e6042d19a2687","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0309986c6755299640f09d6a2efde209b3f229125ca3e5228b9e6042d19a2687","first_computed_at":"2026-06-01T01:03:15.023353Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:03:15.023353Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6xhgkduQEfNa5cia4i+WakJg1sRUwpxIEbHkzBNWoGkBG/8cmWxDOgSVhdIn5j8LrLBrCn8Gksn0SGIyh+97Ag==","signature_status":"signed_v1","signed_at":"2026-06-01T01:03:15.024424Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.30763","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e4d8afa11e5f17dda00060a8b2e3b56dcca219bbad100f98d37b11418e6c44d","sha256:edccfad56f3e19b513d7c7dae1f25dddd9d8b7de2667833db79426bed6c45c29"],"state_sha256":"ac85b03609f407271f96ee4d1a112526caef2c1c4c0b1472f33c6dae8b8a3630"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AVFwpAhietBYutEwFEnwD3gp4d8TaiFAcfMzeWYUQ+LtDG6+Qi8gY14a7Er3ZemzGeRE5pVoFKRKB/yLK+ypBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T02:28:25.388108Z","bundle_sha256":"e00ae9bfb8533090c19ed4749e1bfd8baab86c4122f5a8581aa556e36839d3f1"}}