{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XMIUDC5BIMEAS5S763GPJIB7OR","short_pith_number":"pith:XMIUDC5B","canonical_record":{"source":{"id":"2503.23633","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-03-31T00:12:48Z","cross_cats_sorted":["cs.ET","cs.SE"],"title_canon_sha256":"1cd63525d365cec4391028b9b192f46815e657c0ad8973010bb7589cfa22c121","abstract_canon_sha256":"378043ad66ff4b9f2b5231bbc22b3fac8b570cab90a540d85ade22ddbf403c37"},"schema_version":"1.0"},"canonical_sha256":"bb11418ba1430809765ff6ccf4a03f7478ca1dd52656ab704ab94048a3e91160","source":{"kind":"arxiv","id":"2503.23633","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.23633","created_at":"2026-07-05T10:48:28Z"},{"alias_kind":"arxiv_version","alias_value":"2503.23633v5","created_at":"2026-07-05T10:48:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.23633","created_at":"2026-07-05T10:48:28Z"},{"alias_kind":"pith_short_12","alias_value":"XMIUDC5BIMEA","created_at":"2026-07-05T10:48:28Z"},{"alias_kind":"pith_short_16","alias_value":"XMIUDC5BIMEAS5S7","created_at":"2026-07-05T10:48:28Z"},{"alias_kind":"pith_short_8","alias_value":"XMIUDC5B","created_at":"2026-07-05T10:48:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XMIUDC5BIMEAS5S763GPJIB7OR","target":"record","payload":{"canonical_record":{"source":{"id":"2503.23633","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-03-31T00:12:48Z","cross_cats_sorted":["cs.ET","cs.SE"],"title_canon_sha256":"1cd63525d365cec4391028b9b192f46815e657c0ad8973010bb7589cfa22c121","abstract_canon_sha256":"378043ad66ff4b9f2b5231bbc22b3fac8b570cab90a540d85ade22ddbf403c37"},"schema_version":"1.0"},"canonical_sha256":"bb11418ba1430809765ff6ccf4a03f7478ca1dd52656ab704ab94048a3e91160","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:48:28.289651Z","signature_b64":"oSw0BZlZqsb/+HnApHK0qtOSqIEQpY3W9qNjNftYNo6PfsfRDciZGyQTR1mKwpj1EKE5ORy6mtEi26Aam9sADg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bb11418ba1430809765ff6ccf4a03f7478ca1dd52656ab704ab94048a3e91160","last_reissued_at":"2026-07-05T10:48:28.289133Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:48:28.289133Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.23633","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:48:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k8s9o2DMZMaUBPeUmEgP249PZlJMHWyZXfhgSXMVA3IQ4Yq2WAWmnO+VscYqlv0410TMdhEU79BzXBt9JPWoDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:07:38.343348Z"},"content_sha256":"4c9828d247e1701e432b3a3e74e6139bc3d1cfe1918662a23d5f1d538f236a7b","schema_version":"1.0","event_id":"sha256:4c9828d247e1701e432b3a3e74e6139bc3d1cfe1918662a23d5f1d538f236a7b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XMIUDC5BIMEAS5S763GPJIB7OR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GIScience in the Era of Artificial Intelligence: A Research Agenda Towards Autonomous GIS","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.ET","cs.SE"],"primary_cat":"cs.AI","authors_text":"A-Xing Zhu, Budhendra Bhaduri, Chaowei Yang, Grant McKenzie, Guido Cervone, Huan Ning, Krzysztof Janowicz, Mark Gahegan, Michael E. Hodgson, Samantha T. Arundel, Shaowen Wang, Shashi Shekhar, Song Gao, Wenwen Li, Xinyue Ye, Zhenlong Li","submitted_at":"2025-03-31T00:12:48Z","abstract_excerpt":"The advent of generative AI exemplified by large language models (LLMs) opens new ways to represent and compute geographic information and transcends the process of geographic knowledge production, driving geographic information systems (GIS) towards autonomous GIS. Leveraging LLMs as the decision core, autonomous GIS can independently generate and execute geoprocessing workflows to perform spatial analysis. In this vision paper, we further elaborate on the concept of autonomous GIS and present a conceptual framework that defines its five autonomous goals, five autonomous levels, five core fun"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.23633","kind":"arxiv","version":5},"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/2503.23633/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":"2026-07-05T10:48:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pxBr2GsNhpEqOIVSQ+AkGqqi23FnWLT3abKee395RkXHPVrGfnTu5oP29upRDNdJjkpPGAXC03vgKKL9e76UCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:07:38.343729Z"},"content_sha256":"e34fe353578d65214966482ff20f3a37aac33f9bac1a6255c087f49f01782a5c","schema_version":"1.0","event_id":"sha256:e34fe353578d65214966482ff20f3a37aac33f9bac1a6255c087f49f01782a5c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XMIUDC5BIMEAS5S763GPJIB7OR/bundle.json","state_url":"https://pith.science/pith/XMIUDC5BIMEAS5S763GPJIB7OR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XMIUDC5BIMEAS5S763GPJIB7OR/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":"2026-07-06T18:07:38Z","links":{"resolver":"https://pith.science/pith/XMIUDC5BIMEAS5S763GPJIB7OR","bundle":"https://pith.science/pith/XMIUDC5BIMEAS5S763GPJIB7OR/bundle.json","state":"https://pith.science/pith/XMIUDC5BIMEAS5S763GPJIB7OR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XMIUDC5BIMEAS5S763GPJIB7OR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XMIUDC5BIMEAS5S763GPJIB7OR","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":"378043ad66ff4b9f2b5231bbc22b3fac8b570cab90a540d85ade22ddbf403c37","cross_cats_sorted":["cs.ET","cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-03-31T00:12:48Z","title_canon_sha256":"1cd63525d365cec4391028b9b192f46815e657c0ad8973010bb7589cfa22c121"},"schema_version":"1.0","source":{"id":"2503.23633","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.23633","created_at":"2026-07-05T10:48:28Z"},{"alias_kind":"arxiv_version","alias_value":"2503.23633v5","created_at":"2026-07-05T10:48:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.23633","created_at":"2026-07-05T10:48:28Z"},{"alias_kind":"pith_short_12","alias_value":"XMIUDC5BIMEA","created_at":"2026-07-05T10:48:28Z"},{"alias_kind":"pith_short_16","alias_value":"XMIUDC5BIMEAS5S7","created_at":"2026-07-05T10:48:28Z"},{"alias_kind":"pith_short_8","alias_value":"XMIUDC5B","created_at":"2026-07-05T10:48:28Z"}],"graph_snapshots":[{"event_id":"sha256:e34fe353578d65214966482ff20f3a37aac33f9bac1a6255c087f49f01782a5c","target":"graph","created_at":"2026-07-05T10:48:28Z","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/2503.23633/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The advent of generative AI exemplified by large language models (LLMs) opens new ways to represent and compute geographic information and transcends the process of geographic knowledge production, driving geographic information systems (GIS) towards autonomous GIS. Leveraging LLMs as the decision core, autonomous GIS can independently generate and execute geoprocessing workflows to perform spatial analysis. In this vision paper, we further elaborate on the concept of autonomous GIS and present a conceptual framework that defines its five autonomous goals, five autonomous levels, five core fun","authors_text":"A-Xing Zhu, Budhendra Bhaduri, Chaowei Yang, Grant McKenzie, Guido Cervone, Huan Ning, Krzysztof Janowicz, Mark Gahegan, Michael E. Hodgson, Samantha T. Arundel, Shaowen Wang, Shashi Shekhar, Song Gao, Wenwen Li, Xinyue Ye, Zhenlong Li","cross_cats":["cs.ET","cs.SE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-03-31T00:12:48Z","title":"GIScience in the Era of Artificial Intelligence: A Research Agenda Towards Autonomous GIS"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.23633","kind":"arxiv","version":5},"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":"sha256:4c9828d247e1701e432b3a3e74e6139bc3d1cfe1918662a23d5f1d538f236a7b","target":"record","created_at":"2026-07-05T10:48:28Z","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":"378043ad66ff4b9f2b5231bbc22b3fac8b570cab90a540d85ade22ddbf403c37","cross_cats_sorted":["cs.ET","cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-03-31T00:12:48Z","title_canon_sha256":"1cd63525d365cec4391028b9b192f46815e657c0ad8973010bb7589cfa22c121"},"schema_version":"1.0","source":{"id":"2503.23633","kind":"arxiv","version":5}},"canonical_sha256":"bb11418ba1430809765ff6ccf4a03f7478ca1dd52656ab704ab94048a3e91160","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bb11418ba1430809765ff6ccf4a03f7478ca1dd52656ab704ab94048a3e91160","first_computed_at":"2026-07-05T10:48:28.289133Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:48:28.289133Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oSw0BZlZqsb/+HnApHK0qtOSqIEQpY3W9qNjNftYNo6PfsfRDciZGyQTR1mKwpj1EKE5ORy6mtEi26Aam9sADg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:48:28.289651Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.23633","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c9828d247e1701e432b3a3e74e6139bc3d1cfe1918662a23d5f1d538f236a7b","sha256:e34fe353578d65214966482ff20f3a37aac33f9bac1a6255c087f49f01782a5c"],"state_sha256":"1dd34da432b4e7f611551d663df675a3b5ca8ebc94a9d1e5c885f8b2196002c0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9sx1B9BE4dct0El5Weypbk2SwJ9PEiXkPOhghu+3W1OrlWbmajY+mTBaN1P81rFhTfB+ZxReFnA/FlTTthq+Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T18:07:38.345702Z","bundle_sha256":"3baea6f69d6d4baed846a240eba34878deefcbb4c45d61a0be640fae0622cb89"}}