{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OKOGQODJLTTWKK756B73NKX2SC","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":"b43704d8214758708efd28a65c60aca84f8570c550cf2b9bfe7dfc5e2db4e403","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-28T20:38:58Z","title_canon_sha256":"c05d2fada2a4f21292522ab0276cf92547c0345a0c66cb307f8c3b8a3bcb85bc"},"schema_version":"1.0","source":{"id":"2401.16449","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.16449","created_at":"2026-07-05T09:00:22Z"},{"alias_kind":"arxiv_version","alias_value":"2401.16449v1","created_at":"2026-07-05T09:00:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.16449","created_at":"2026-07-05T09:00:22Z"},{"alias_kind":"pith_short_12","alias_value":"OKOGQODJLTTW","created_at":"2026-07-05T09:00:22Z"},{"alias_kind":"pith_short_16","alias_value":"OKOGQODJLTTWKK75","created_at":"2026-07-05T09:00:22Z"},{"alias_kind":"pith_short_8","alias_value":"OKOGQODJ","created_at":"2026-07-05T09:00:22Z"}],"graph_snapshots":[{"event_id":"sha256:94b047a63a4561851d31ed4404ef7eaaa5ae56feee6b77502ccc35d6f905b644","target":"graph","created_at":"2026-07-05T09:00:22Z","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/2401.16449/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Digital Twins (DT) have become crucial to achieve sustainable and effective smart urban solutions. However, current DT modelling techniques cannot support the dynamicity of these smart city environments. This is caused by the lack of right-time data capturing in traditional approaches, resulting in inaccurate modelling and high resource and energy consumption challenges. To fill this gap, we explore spatiotemporal graphs and propose the Reinforcement Learning-based Adaptive Twining (RL-AT) mechanism with Deep Q Networks (DQN). By doing so, our study contributes to advancing Green Cities and sh","authors_text":"Berk Canberk, Craig Thomson, Kubra Duran, Lal Verda Cakir, Matthew Broadbent","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-28T20:38:58Z","title":"AI in Energy Digital Twining: A Reinforcement Learning-based Adaptive Digital Twin Model for Green Cities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.16449","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:f43eb4f7ae123f0760da1cc2b4e6b895c1201f1a3b5f5cf7f7a263e43d93e5a1","target":"record","created_at":"2026-07-05T09:00:22Z","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":"b43704d8214758708efd28a65c60aca84f8570c550cf2b9bfe7dfc5e2db4e403","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-28T20:38:58Z","title_canon_sha256":"c05d2fada2a4f21292522ab0276cf92547c0345a0c66cb307f8c3b8a3bcb85bc"},"schema_version":"1.0","source":{"id":"2401.16449","kind":"arxiv","version":1}},"canonical_sha256":"729c6838695ce7652bfdf07fb6aafa9087596fc5c13cd328eb969cfc96c5c548","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"729c6838695ce7652bfdf07fb6aafa9087596fc5c13cd328eb969cfc96c5c548","first_computed_at":"2026-07-05T09:00:22.145531Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:00:22.145531Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vcHldqZuOHk9crjYp8yRxpZqKrhB8lc4s1nC+P+/Zs3cZwfOmrZA8vFuaeC7v8jXDimm26XgBRp1DNWIPMXnBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:00:22.145986Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.16449","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f43eb4f7ae123f0760da1cc2b4e6b895c1201f1a3b5f5cf7f7a263e43d93e5a1","sha256:94b047a63a4561851d31ed4404ef7eaaa5ae56feee6b77502ccc35d6f905b644"],"state_sha256":"afa57eb8f32af32dc9fc8e2af30d8b3dc5aecb50add6acdb898fa52c0479d328"}