{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:JKIX5S63JMEIYP5VHY7YIUU75U","short_pith_number":"pith:JKIX5S63","canonical_record":{"source":{"id":"2605.26036","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T17:03:46Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"4248b4e106df74b63ec04765c0453b5dc52c7f928e5d2af0c8efe09d6d175699","abstract_canon_sha256":"265390285184884cd9163950841526f7f4ff84e3914cce7fa1deb0716d373633"},"schema_version":"1.0"},"canonical_sha256":"4a917ecbdb4b088c3fb53e3f84529fed1d595bfcc6386c8be9f181c275195eda","source":{"kind":"arxiv","id":"2605.26036","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.26036","created_at":"2026-05-26T02:05:24Z"},{"alias_kind":"arxiv_version","alias_value":"2605.26036v1","created_at":"2026-05-26T02:05:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.26036","created_at":"2026-05-26T02:05:24Z"},{"alias_kind":"pith_short_12","alias_value":"JKIX5S63JMEI","created_at":"2026-05-26T02:05:24Z"},{"alias_kind":"pith_short_16","alias_value":"JKIX5S63JMEIYP5V","created_at":"2026-05-26T02:05:24Z"},{"alias_kind":"pith_short_8","alias_value":"JKIX5S63","created_at":"2026-05-26T02:05:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:JKIX5S63JMEIYP5VHY7YIUU75U","target":"record","payload":{"canonical_record":{"source":{"id":"2605.26036","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T17:03:46Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"4248b4e106df74b63ec04765c0453b5dc52c7f928e5d2af0c8efe09d6d175699","abstract_canon_sha256":"265390285184884cd9163950841526f7f4ff84e3914cce7fa1deb0716d373633"},"schema_version":"1.0"},"canonical_sha256":"4a917ecbdb4b088c3fb53e3f84529fed1d595bfcc6386c8be9f181c275195eda","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:05:24.407085Z","signature_b64":"ecMP9bR7it7OmpL51uYZykCxv1iDhf5UBjiUdnTAf2qO5dccTP/2akVq86NeMbGffUJKmW1uj8c5O9BIBqq+Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4a917ecbdb4b088c3fb53e3f84529fed1d595bfcc6386c8be9f181c275195eda","last_reissued_at":"2026-05-26T02:05:24.406228Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:05:24.406228Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.26036","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":"2026-05-26T02:05:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ciu3ZNqoY9QNlq8CPynwBSkWE/x6V9+Ej7apYyvHBOtYcp/piPr2r2pT5RMRB0ZAPytmxFSDWtcR+dJTJ1DNDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T04:45:35.164570Z"},"content_sha256":"30632c975baf2d5f206aa857164de5bdb411d02b884a8f1a639df7aa5201b4a1","schema_version":"1.0","event_id":"sha256:30632c975baf2d5f206aa857164de5bdb411d02b884a8f1a639df7aa5201b4a1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:JKIX5S63JMEIYP5VHY7YIUU75U","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CITYREP: A Unified Benchmark for Urban Representations Across Cities, Tasks, and Modalities","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Guangsheng Dong, Ilya Ilyankou, Jiazhuang Feng, Junyuan Liu, Quan Qin, Tao Cheng, Xinglei Wang, Zichao Zeng","submitted_at":"2026-05-25T17:03:46Z","abstract_excerpt":"Urban representation learning encodes complex urban environments into general-purpose embeddings for diverse downstream tasks and emerging urban foundation models. However, current evaluations are limited, typically focusing on one or two cities and tasks and relying on random splits that introduce spatial leakage, leading to inflated performance and weak support for cross-location generalization and fair comparison. To address this, we propose CityRep, a unified benchmark that evaluates urban representations across data modalities, cities, and tasks using spatially structured splits. CityRep "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.26036","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/2605.26036/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":"2026-05-26T02:05:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9lL/RwEsCgWjsPwu+3fENnj/VYIdAh3SCcGxrk6APOuuFTSJjN1q6yq4E9HoV+fvIp2fhHUqfTkuI4hvFQxXAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T04:45:35.164941Z"},"content_sha256":"74eb835cb1d3d53774167afa5223e8ac6f2f487012b525ff171d5162e949bf65","schema_version":"1.0","event_id":"sha256:74eb835cb1d3d53774167afa5223e8ac6f2f487012b525ff171d5162e949bf65"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JKIX5S63JMEIYP5VHY7YIUU75U/bundle.json","state_url":"https://pith.science/pith/JKIX5S63JMEIYP5VHY7YIUU75U/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JKIX5S63JMEIYP5VHY7YIUU75U/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":"2026-06-30T04:45:35Z","links":{"resolver":"https://pith.science/pith/JKIX5S63JMEIYP5VHY7YIUU75U","bundle":"https://pith.science/pith/JKIX5S63JMEIYP5VHY7YIUU75U/bundle.json","state":"https://pith.science/pith/JKIX5S63JMEIYP5VHY7YIUU75U/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JKIX5S63JMEIYP5VHY7YIUU75U/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JKIX5S63JMEIYP5VHY7YIUU75U","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":"265390285184884cd9163950841526f7f4ff84e3914cce7fa1deb0716d373633","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T17:03:46Z","title_canon_sha256":"4248b4e106df74b63ec04765c0453b5dc52c7f928e5d2af0c8efe09d6d175699"},"schema_version":"1.0","source":{"id":"2605.26036","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.26036","created_at":"2026-05-26T02:05:24Z"},{"alias_kind":"arxiv_version","alias_value":"2605.26036v1","created_at":"2026-05-26T02:05:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.26036","created_at":"2026-05-26T02:05:24Z"},{"alias_kind":"pith_short_12","alias_value":"JKIX5S63JMEI","created_at":"2026-05-26T02:05:24Z"},{"alias_kind":"pith_short_16","alias_value":"JKIX5S63JMEIYP5V","created_at":"2026-05-26T02:05:24Z"},{"alias_kind":"pith_short_8","alias_value":"JKIX5S63","created_at":"2026-05-26T02:05:24Z"}],"graph_snapshots":[{"event_id":"sha256:74eb835cb1d3d53774167afa5223e8ac6f2f487012b525ff171d5162e949bf65","target":"graph","created_at":"2026-05-26T02:05:24Z","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/2605.26036/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Urban representation learning encodes complex urban environments into general-purpose embeddings for diverse downstream tasks and emerging urban foundation models. However, current evaluations are limited, typically focusing on one or two cities and tasks and relying on random splits that introduce spatial leakage, leading to inflated performance and weak support for cross-location generalization and fair comparison. To address this, we propose CityRep, a unified benchmark that evaluates urban representations across data modalities, cities, and tasks using spatially structured splits. CityRep ","authors_text":"Guangsheng Dong, Ilya Ilyankou, Jiazhuang Feng, Junyuan Liu, Quan Qin, Tao Cheng, Xinglei Wang, Zichao Zeng","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T17:03:46Z","title":"CITYREP: A Unified Benchmark for Urban Representations Across Cities, Tasks, and Modalities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.26036","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":"sha256:30632c975baf2d5f206aa857164de5bdb411d02b884a8f1a639df7aa5201b4a1","target":"record","created_at":"2026-05-26T02:05:24Z","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":"265390285184884cd9163950841526f7f4ff84e3914cce7fa1deb0716d373633","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-25T17:03:46Z","title_canon_sha256":"4248b4e106df74b63ec04765c0453b5dc52c7f928e5d2af0c8efe09d6d175699"},"schema_version":"1.0","source":{"id":"2605.26036","kind":"arxiv","version":1}},"canonical_sha256":"4a917ecbdb4b088c3fb53e3f84529fed1d595bfcc6386c8be9f181c275195eda","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4a917ecbdb4b088c3fb53e3f84529fed1d595bfcc6386c8be9f181c275195eda","first_computed_at":"2026-05-26T02:05:24.406228Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:05:24.406228Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ecMP9bR7it7OmpL51uYZykCxv1iDhf5UBjiUdnTAf2qO5dccTP/2akVq86NeMbGffUJKmW1uj8c5O9BIBqq+Cg==","signature_status":"signed_v1","signed_at":"2026-05-26T02:05:24.407085Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.26036","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:30632c975baf2d5f206aa857164de5bdb411d02b884a8f1a639df7aa5201b4a1","sha256:74eb835cb1d3d53774167afa5223e8ac6f2f487012b525ff171d5162e949bf65"],"state_sha256":"e5de58119f102844e6f60aca0f4fbac4ad39e4faf085bd15539747cd4a4f62d6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hrKtZAmPVtb+lxHNgWW/OCaGtGCHb8NJJoalCt2LoiLDrBH43zMH/VjeL70fXi9/Bwf7DZIEyUEXE2XJL4AIBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T04:45:35.167154Z","bundle_sha256":"9201f3b2791d808c33346106e5fb250b77cd51cd27ca9618b3c56e65997d6ba3"}}