{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UZ75XDT4VGQKN5ECWG4ZAGF5S5","short_pith_number":"pith:UZ75XDT4","canonical_record":{"source":{"id":"2606.05188","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-04-28T11:57:42Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"bfbff3f68c7cf6b1954bef028dadfd7ee197227b7facba4ceb5d4cc2f5a38a50","abstract_canon_sha256":"fb1689e8059eac5323c1fc9b55841aa34c2be85e50654a67f0a07bd8bbbd825a"},"schema_version":"1.0"},"canonical_sha256":"a67fdb8e7ca9a0a6f482b1b99018bd9749c63eae6cbdb14eec03b5d1fcf3f8aa","source":{"kind":"arxiv","id":"2606.05188","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.05188","created_at":"2026-06-05T00:13:48Z"},{"alias_kind":"arxiv_version","alias_value":"2606.05188v1","created_at":"2026-06-05T00:13:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.05188","created_at":"2026-06-05T00:13:48Z"},{"alias_kind":"pith_short_12","alias_value":"UZ75XDT4VGQK","created_at":"2026-06-05T00:13:48Z"},{"alias_kind":"pith_short_16","alias_value":"UZ75XDT4VGQKN5EC","created_at":"2026-06-05T00:13:48Z"},{"alias_kind":"pith_short_8","alias_value":"UZ75XDT4","created_at":"2026-06-05T00:13:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UZ75XDT4VGQKN5ECWG4ZAGF5S5","target":"record","payload":{"canonical_record":{"source":{"id":"2606.05188","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-04-28T11:57:42Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"bfbff3f68c7cf6b1954bef028dadfd7ee197227b7facba4ceb5d4cc2f5a38a50","abstract_canon_sha256":"fb1689e8059eac5323c1fc9b55841aa34c2be85e50654a67f0a07bd8bbbd825a"},"schema_version":"1.0"},"canonical_sha256":"a67fdb8e7ca9a0a6f482b1b99018bd9749c63eae6cbdb14eec03b5d1fcf3f8aa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-05T00:13:48.175399Z","signature_b64":"HlfZPJTK6/fr1SXnh9/224eQTntgQDjMA4MUcNXTU2wtusaZK1Mq4rY5kMWOEPsjFzn5vBHDQHAbpm6GIpVEBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a67fdb8e7ca9a0a6f482b1b99018bd9749c63eae6cbdb14eec03b5d1fcf3f8aa","last_reissued_at":"2026-06-05T00:13:48.174803Z","signature_status":"signed_v1","first_computed_at":"2026-06-05T00:13:48.174803Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.05188","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":"2026-06-05T00:13:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1Jn8eSUtc0XfljzvIvqNzR7TkA0kNYC8aGW1yLHHciwJf0qvrm4jrXpb9YgEuS63nhfe808u3GVOImuWHY91BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T14:34:30.498631Z"},"content_sha256":"6fdb6d30a94293041bf26107ca4632b70ac68399edaf0c64787a6c295a4d7f37","schema_version":"1.0","event_id":"sha256:6fdb6d30a94293041bf26107ca4632b70ac68399edaf0c64787a6c295a4d7f37"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UZ75XDT4VGQKN5ECWG4ZAGF5S5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Assessing the Geographic Diversity of AI's Platial Representations in Image Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CY","authors_text":"Krzysztof Janowicz, Mina Karimi, Zilong Liu","submitted_at":"2026-04-28T11:57:42Z","abstract_excerpt":"(Gen)AI diversity is not merely an ethical issue. From the perspective of geographic information science (GIScience), it could be interpreted as a function of uncertainty and as a form of cognitive bias, embedded in AI outputs. Recent work has sought to develop information-theoretic diversity measures and apply them to evaluate AI-chatbot outputs in a geographic context. As the AI ecosystem to which we are exposed on a daily basis becomes rapidly multimodal, we believe it is important to examine geographic diversity across various modalities. Focusing on images, this paper aims to fill this re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.05188","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/2606.05188/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":"2026-06-05T00:13:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zIdT9XDKmDmXQQk7+S/WC4QTh4RJ+6wmG67F7qhoxIfmpADjK+3Fnb2Cz9tGEbn3amC+5J032yBBPp1v/li4Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T14:34:30.499426Z"},"content_sha256":"11fa9797c1fc350bd72fa0448b96038f6273e2c306d243013ca196fb8fb6394c","schema_version":"1.0","event_id":"sha256:11fa9797c1fc350bd72fa0448b96038f6273e2c306d243013ca196fb8fb6394c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UZ75XDT4VGQKN5ECWG4ZAGF5S5/bundle.json","state_url":"https://pith.science/pith/UZ75XDT4VGQKN5ECWG4ZAGF5S5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UZ75XDT4VGQKN5ECWG4ZAGF5S5/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":"2026-06-07T14:34:30Z","links":{"resolver":"https://pith.science/pith/UZ75XDT4VGQKN5ECWG4ZAGF5S5","bundle":"https://pith.science/pith/UZ75XDT4VGQKN5ECWG4ZAGF5S5/bundle.json","state":"https://pith.science/pith/UZ75XDT4VGQKN5ECWG4ZAGF5S5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UZ75XDT4VGQKN5ECWG4ZAGF5S5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UZ75XDT4VGQKN5ECWG4ZAGF5S5","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":"fb1689e8059eac5323c1fc9b55841aa34c2be85e50654a67f0a07bd8bbbd825a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-04-28T11:57:42Z","title_canon_sha256":"bfbff3f68c7cf6b1954bef028dadfd7ee197227b7facba4ceb5d4cc2f5a38a50"},"schema_version":"1.0","source":{"id":"2606.05188","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.05188","created_at":"2026-06-05T00:13:48Z"},{"alias_kind":"arxiv_version","alias_value":"2606.05188v1","created_at":"2026-06-05T00:13:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.05188","created_at":"2026-06-05T00:13:48Z"},{"alias_kind":"pith_short_12","alias_value":"UZ75XDT4VGQK","created_at":"2026-06-05T00:13:48Z"},{"alias_kind":"pith_short_16","alias_value":"UZ75XDT4VGQKN5EC","created_at":"2026-06-05T00:13:48Z"},{"alias_kind":"pith_short_8","alias_value":"UZ75XDT4","created_at":"2026-06-05T00:13:48Z"}],"graph_snapshots":[{"event_id":"sha256:11fa9797c1fc350bd72fa0448b96038f6273e2c306d243013ca196fb8fb6394c","target":"graph","created_at":"2026-06-05T00:13:48Z","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/2606.05188/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"(Gen)AI diversity is not merely an ethical issue. From the perspective of geographic information science (GIScience), it could be interpreted as a function of uncertainty and as a form of cognitive bias, embedded in AI outputs. Recent work has sought to develop information-theoretic diversity measures and apply them to evaluate AI-chatbot outputs in a geographic context. As the AI ecosystem to which we are exposed on a daily basis becomes rapidly multimodal, we believe it is important to examine geographic diversity across various modalities. Focusing on images, this paper aims to fill this re","authors_text":"Krzysztof Janowicz, Mina Karimi, Zilong Liu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-04-28T11:57:42Z","title":"Assessing the Geographic Diversity of AI's Platial Representations in Image Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.05188","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":"sha256:6fdb6d30a94293041bf26107ca4632b70ac68399edaf0c64787a6c295a4d7f37","target":"record","created_at":"2026-06-05T00:13:48Z","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":"fb1689e8059eac5323c1fc9b55841aa34c2be85e50654a67f0a07bd8bbbd825a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-04-28T11:57:42Z","title_canon_sha256":"bfbff3f68c7cf6b1954bef028dadfd7ee197227b7facba4ceb5d4cc2f5a38a50"},"schema_version":"1.0","source":{"id":"2606.05188","kind":"arxiv","version":1}},"canonical_sha256":"a67fdb8e7ca9a0a6f482b1b99018bd9749c63eae6cbdb14eec03b5d1fcf3f8aa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a67fdb8e7ca9a0a6f482b1b99018bd9749c63eae6cbdb14eec03b5d1fcf3f8aa","first_computed_at":"2026-06-05T00:13:48.174803Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-05T00:13:48.174803Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HlfZPJTK6/fr1SXnh9/224eQTntgQDjMA4MUcNXTU2wtusaZK1Mq4rY5kMWOEPsjFzn5vBHDQHAbpm6GIpVEBQ==","signature_status":"signed_v1","signed_at":"2026-06-05T00:13:48.175399Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.05188","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6fdb6d30a94293041bf26107ca4632b70ac68399edaf0c64787a6c295a4d7f37","sha256:11fa9797c1fc350bd72fa0448b96038f6273e2c306d243013ca196fb8fb6394c"],"state_sha256":"755db9b32c62989a061a94d3669f68dd679808add93e39709db83efe04edf1d1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RGb0AY0vnH/UR0mv4BGdKQzbhMErb8Rt+D3gd052fn4peGm23g2dNheDYvOT48iqn57L1vJngxidfK51adFqBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T14:34:30.503954Z","bundle_sha256":"106683525ec23e4ceb916381233b3daae65b53c9b3a15e3486ab6190d54745fe"}}