{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5PRRIAFKRNQ3DCOFVCU7EMWVUR","short_pith_number":"pith:5PRRIAFK","canonical_record":{"source":{"id":"2405.14691","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-05-23T15:27:18Z","cross_cats_sorted":["cs.MA"],"title_canon_sha256":"29e8610e73216d8b99add95b27f6c0e63436803b4052d93102e87b98059a3625","abstract_canon_sha256":"b7b43981ccd5489ceee56e1264b817d977ecbab99f13d10aaa630a921e0b3a49"},"schema_version":"1.0"},"canonical_sha256":"ebe31400aa8b61b189c5a8a9f232d5a471437f7a868ce7c67c7244b25e6fdac9","source":{"kind":"arxiv","id":"2405.14691","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.14691","created_at":"2026-07-05T08:22:26Z"},{"alias_kind":"arxiv_version","alias_value":"2405.14691v1","created_at":"2026-07-05T08:22:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.14691","created_at":"2026-07-05T08:22:26Z"},{"alias_kind":"pith_short_12","alias_value":"5PRRIAFKRNQ3","created_at":"2026-07-05T08:22:26Z"},{"alias_kind":"pith_short_16","alias_value":"5PRRIAFKRNQ3DCOF","created_at":"2026-07-05T08:22:26Z"},{"alias_kind":"pith_short_8","alias_value":"5PRRIAFK","created_at":"2026-07-05T08:22:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5PRRIAFKRNQ3DCOFVCU7EMWVUR","target":"record","payload":{"canonical_record":{"source":{"id":"2405.14691","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-05-23T15:27:18Z","cross_cats_sorted":["cs.MA"],"title_canon_sha256":"29e8610e73216d8b99add95b27f6c0e63436803b4052d93102e87b98059a3625","abstract_canon_sha256":"b7b43981ccd5489ceee56e1264b817d977ecbab99f13d10aaa630a921e0b3a49"},"schema_version":"1.0"},"canonical_sha256":"ebe31400aa8b61b189c5a8a9f232d5a471437f7a868ce7c67c7244b25e6fdac9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:22:26.606966Z","signature_b64":"n+hSlRFtf9d1tyLSRCEUYkzk0Ni3V+n4JP5EAvrMUd5YMcKy5OTti2UpnhqKcYq6aYJpY2y2mdCAtcAWztWlCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ebe31400aa8b61b189c5a8a9f232d5a471437f7a868ce7c67c7244b25e6fdac9","last_reissued_at":"2026-07-05T08:22:26.606560Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:22:26.606560Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.14691","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":"2026-07-05T08:22:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"67z5yYecLh9RdfM38oopkqS2cTbBVkvJ62GuxVa92wU/RrFmSziqZG2kOD6gy6hoiVAD5QE3Yc0OTaBDMh4AAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T03:59:11.527910Z"},"content_sha256":"31d0e9fa62f76e238763789c1923cbbc9675a75dc54bc3f0b2b95eae2dba9903","schema_version":"1.0","event_id":"sha256:31d0e9fa62f76e238763789c1923cbbc9675a75dc54bc3f0b2b95eae2dba9903"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5PRRIAFKRNQ3DCOFVCU7EMWVUR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CityGPT: Towards Urban IoT Learning, Analysis and Interaction with Multi-Agent System","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MA"],"primary_cat":"cs.AI","authors_text":"Di Wu, Jinhui Ouyang, Qinghua Guan, Weiren Yu","submitted_at":"2024-05-23T15:27:18Z","abstract_excerpt":"The spatiotemporal data generated by massive sensors in the Internet of Things (IoT) is extremely dynamic, heterogeneous, large scale and time-dependent. It poses great challenges (e.g. accuracy, reliability, and stability) in real-time analysis and decision making for different IoT applications. The complexity of IoT data prevents the common people from gaining a deeper understanding of it. Agentized systems help address the lack of data insight for the common people. We propose a generic framework, namely CityGPT, to facilitate the learning and analysis of IoT time series with an end-to-end "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.14691","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/2405.14691/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":"2026-07-05T08:22:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Oip5XGFNeYO+Yt4DnoGHS0b7VbmscMFAbx0gwXtEf8IAAwus8uQt9xZ/GXbNpnYuJZtMnE2V+4JWw6jMmzpHCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T03:59:11.528725Z"},"content_sha256":"6cd3482213fceafe58f1269623dbe4ecc34549ec046c1f9edcda2d88ed6e9062","schema_version":"1.0","event_id":"sha256:6cd3482213fceafe58f1269623dbe4ecc34549ec046c1f9edcda2d88ed6e9062"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5PRRIAFKRNQ3DCOFVCU7EMWVUR/bundle.json","state_url":"https://pith.science/pith/5PRRIAFKRNQ3DCOFVCU7EMWVUR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5PRRIAFKRNQ3DCOFVCU7EMWVUR/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":"2026-08-06T03:59:11Z","links":{"resolver":"https://pith.science/pith/5PRRIAFKRNQ3DCOFVCU7EMWVUR","bundle":"https://pith.science/pith/5PRRIAFKRNQ3DCOFVCU7EMWVUR/bundle.json","state":"https://pith.science/pith/5PRRIAFKRNQ3DCOFVCU7EMWVUR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5PRRIAFKRNQ3DCOFVCU7EMWVUR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5PRRIAFKRNQ3DCOFVCU7EMWVUR","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":"b7b43981ccd5489ceee56e1264b817d977ecbab99f13d10aaa630a921e0b3a49","cross_cats_sorted":["cs.MA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-05-23T15:27:18Z","title_canon_sha256":"29e8610e73216d8b99add95b27f6c0e63436803b4052d93102e87b98059a3625"},"schema_version":"1.0","source":{"id":"2405.14691","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.14691","created_at":"2026-07-05T08:22:26Z"},{"alias_kind":"arxiv_version","alias_value":"2405.14691v1","created_at":"2026-07-05T08:22:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.14691","created_at":"2026-07-05T08:22:26Z"},{"alias_kind":"pith_short_12","alias_value":"5PRRIAFKRNQ3","created_at":"2026-07-05T08:22:26Z"},{"alias_kind":"pith_short_16","alias_value":"5PRRIAFKRNQ3DCOF","created_at":"2026-07-05T08:22:26Z"},{"alias_kind":"pith_short_8","alias_value":"5PRRIAFK","created_at":"2026-07-05T08:22:26Z"}],"graph_snapshots":[{"event_id":"sha256:6cd3482213fceafe58f1269623dbe4ecc34549ec046c1f9edcda2d88ed6e9062","target":"graph","created_at":"2026-07-05T08:22:26Z","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/2405.14691/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The spatiotemporal data generated by massive sensors in the Internet of Things (IoT) is extremely dynamic, heterogeneous, large scale and time-dependent. It poses great challenges (e.g. accuracy, reliability, and stability) in real-time analysis and decision making for different IoT applications. The complexity of IoT data prevents the common people from gaining a deeper understanding of it. Agentized systems help address the lack of data insight for the common people. We propose a generic framework, namely CityGPT, to facilitate the learning and analysis of IoT time series with an end-to-end ","authors_text":"Di Wu, Jinhui Ouyang, Qinghua Guan, Weiren Yu","cross_cats":["cs.MA"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-05-23T15:27:18Z","title":"CityGPT: Towards Urban IoT Learning, Analysis and Interaction with Multi-Agent System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.14691","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":"sha256:31d0e9fa62f76e238763789c1923cbbc9675a75dc54bc3f0b2b95eae2dba9903","target":"record","created_at":"2026-07-05T08:22:26Z","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":"b7b43981ccd5489ceee56e1264b817d977ecbab99f13d10aaa630a921e0b3a49","cross_cats_sorted":["cs.MA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-05-23T15:27:18Z","title_canon_sha256":"29e8610e73216d8b99add95b27f6c0e63436803b4052d93102e87b98059a3625"},"schema_version":"1.0","source":{"id":"2405.14691","kind":"arxiv","version":1}},"canonical_sha256":"ebe31400aa8b61b189c5a8a9f232d5a471437f7a868ce7c67c7244b25e6fdac9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ebe31400aa8b61b189c5a8a9f232d5a471437f7a868ce7c67c7244b25e6fdac9","first_computed_at":"2026-07-05T08:22:26.606560Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:22:26.606560Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"n+hSlRFtf9d1tyLSRCEUYkzk0Ni3V+n4JP5EAvrMUd5YMcKy5OTti2UpnhqKcYq6aYJpY2y2mdCAtcAWztWlCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:22:26.606966Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.14691","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:31d0e9fa62f76e238763789c1923cbbc9675a75dc54bc3f0b2b95eae2dba9903","sha256:6cd3482213fceafe58f1269623dbe4ecc34549ec046c1f9edcda2d88ed6e9062"],"state_sha256":"223a991c9ca223493b4be064a6f317d4d4f4a4cff71d1b61e75c31b2d0c67ada"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dc8dA3J9GTtZgpckoJy5eb4Qgo0gLD9to4Hqo0kHYW3SoUeOwkOPN1XlY7IZUmE1BLm77+leYx4yhV/tN56wAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T03:59:11.539186Z","bundle_sha256":"c733d06a86b1e982de4b80919c34a86892bbb7ff106d9ff976e241d3582622ad"}}