{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:BBHQT6DDHVAWGFGPMGARQEU3N7","short_pith_number":"pith:BBHQT6DD","canonical_record":{"source":{"id":"1806.00571","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2018-06-02T02:11:50Z","cross_cats_sorted":["cs.DB"],"title_canon_sha256":"bc2dbc16d89f505a03e02ea38f55d2dc6d1638f1fab4dba4e79a4fb18262a40f","abstract_canon_sha256":"4bd8c342f896e1446911e7183f3e04deec6455a4536051c5a7faf6edfb2222f3"},"schema_version":"1.0"},"canonical_sha256":"084f09f8633d416314cf618118129b6ffbe4c559d6d59cd231f68f15c9e111ae","source":{"kind":"arxiv","id":"1806.00571","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.00571","created_at":"2026-05-18T00:14:19Z"},{"alias_kind":"arxiv_version","alias_value":"1806.00571v1","created_at":"2026-05-18T00:14:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.00571","created_at":"2026-05-18T00:14:19Z"},{"alias_kind":"pith_short_12","alias_value":"BBHQT6DDHVAW","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"BBHQT6DDHVAWGFGP","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"BBHQT6DD","created_at":"2026-05-18T12:32:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:BBHQT6DDHVAWGFGPMGARQEU3N7","target":"record","payload":{"canonical_record":{"source":{"id":"1806.00571","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2018-06-02T02:11:50Z","cross_cats_sorted":["cs.DB"],"title_canon_sha256":"bc2dbc16d89f505a03e02ea38f55d2dc6d1638f1fab4dba4e79a4fb18262a40f","abstract_canon_sha256":"4bd8c342f896e1446911e7183f3e04deec6455a4536051c5a7faf6edfb2222f3"},"schema_version":"1.0"},"canonical_sha256":"084f09f8633d416314cf618118129b6ffbe4c559d6d59cd231f68f15c9e111ae","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:19.040409Z","signature_b64":"Iga67+7O8Sfjtydu3hJxSiDVbXlgIQoj23ErHvM3xQDQ/ksePP28b/1BTDEqIMrW2eJCAlhrs9id2C20oggyAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"084f09f8633d416314cf618118129b6ffbe4c559d6d59cd231f68f15c9e111ae","last_reissued_at":"2026-05-18T00:14:19.039891Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:19.039891Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.00571","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":"2026-05-18T00:14:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ApZTp2noor5LHYru5V/+Qqwq2X3KOKCzNhRKAcUQ7CHtw/0tlLI1jaqa7xsSpQKmrJ7nBR2G6pwGQTGpaB7YBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T02:57:38.431794Z"},"content_sha256":"a5794e021e9794deff6f568ff7f1e10244a9c6429e7d7aed34b62bad4433bcb3","schema_version":"1.0","event_id":"sha256:a5794e021e9794deff6f568ff7f1e10244a9c6429e7d7aed34b62bad4433bcb3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:BBHQT6DDHVAWGFGPMGARQEU3N7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient Interactive Search for Geo-tagged Multimedia Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DB"],"primary_cat":"cs.MM","authors_text":"Chengyuan Zhang, Jun Long, Lei Zhu, Ruipeng Chen, Yunwu Lin, Zhan Yang","submitted_at":"2018-06-02T02:11:50Z","abstract_excerpt":"Due to the advances in mobile computing and multimedia techniques, there are vast amount of multimedia data with geographical information collected in multifarious applications. In this paper, we propose a novel type of image search named interactive geo-tagged image search which aims to find out a set of images based on geographical proximity and similarity of visual content, as well as the preference of users. Existing approaches for spatial keyword query and geo-image query cannot address this problem effectively since they do not consider these three type of information together for query."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.00571","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":""},"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":"2026-05-18T00:14:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GzO/F1V1stfU39clbCkRlghJHIyOoQKz/NmlLzUsEagiehsAKXJH1nBKEKNSWBLDLRDWIaPhTANyViNDJkgOCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T02:57:38.432203Z"},"content_sha256":"a29c3acdf92b7d946bf937955f475828d12a7b1e2f7ee262032cfbdee5aabc14","schema_version":"1.0","event_id":"sha256:a29c3acdf92b7d946bf937955f475828d12a7b1e2f7ee262032cfbdee5aabc14"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BBHQT6DDHVAWGFGPMGARQEU3N7/bundle.json","state_url":"https://pith.science/pith/BBHQT6DDHVAWGFGPMGARQEU3N7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BBHQT6DDHVAWGFGPMGARQEU3N7/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":"2026-05-31T02:57:38Z","links":{"resolver":"https://pith.science/pith/BBHQT6DDHVAWGFGPMGARQEU3N7","bundle":"https://pith.science/pith/BBHQT6DDHVAWGFGPMGARQEU3N7/bundle.json","state":"https://pith.science/pith/BBHQT6DDHVAWGFGPMGARQEU3N7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BBHQT6DDHVAWGFGPMGARQEU3N7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:BBHQT6DDHVAWGFGPMGARQEU3N7","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":"4bd8c342f896e1446911e7183f3e04deec6455a4536051c5a7faf6edfb2222f3","cross_cats_sorted":["cs.DB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2018-06-02T02:11:50Z","title_canon_sha256":"bc2dbc16d89f505a03e02ea38f55d2dc6d1638f1fab4dba4e79a4fb18262a40f"},"schema_version":"1.0","source":{"id":"1806.00571","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.00571","created_at":"2026-05-18T00:14:19Z"},{"alias_kind":"arxiv_version","alias_value":"1806.00571v1","created_at":"2026-05-18T00:14:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.00571","created_at":"2026-05-18T00:14:19Z"},{"alias_kind":"pith_short_12","alias_value":"BBHQT6DDHVAW","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"BBHQT6DDHVAWGFGP","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"BBHQT6DD","created_at":"2026-05-18T12:32:13Z"}],"graph_snapshots":[{"event_id":"sha256:a29c3acdf92b7d946bf937955f475828d12a7b1e2f7ee262032cfbdee5aabc14","target":"graph","created_at":"2026-05-18T00:14:19Z","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"},"paper":{"abstract_excerpt":"Due to the advances in mobile computing and multimedia techniques, there are vast amount of multimedia data with geographical information collected in multifarious applications. In this paper, we propose a novel type of image search named interactive geo-tagged image search which aims to find out a set of images based on geographical proximity and similarity of visual content, as well as the preference of users. Existing approaches for spatial keyword query and geo-image query cannot address this problem effectively since they do not consider these three type of information together for query.","authors_text":"Chengyuan Zhang, Jun Long, Lei Zhu, Ruipeng Chen, Yunwu Lin, Zhan Yang","cross_cats":["cs.DB"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2018-06-02T02:11:50Z","title":"Efficient Interactive Search for Geo-tagged Multimedia Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.00571","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:a5794e021e9794deff6f568ff7f1e10244a9c6429e7d7aed34b62bad4433bcb3","target":"record","created_at":"2026-05-18T00:14:19Z","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":"4bd8c342f896e1446911e7183f3e04deec6455a4536051c5a7faf6edfb2222f3","cross_cats_sorted":["cs.DB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2018-06-02T02:11:50Z","title_canon_sha256":"bc2dbc16d89f505a03e02ea38f55d2dc6d1638f1fab4dba4e79a4fb18262a40f"},"schema_version":"1.0","source":{"id":"1806.00571","kind":"arxiv","version":1}},"canonical_sha256":"084f09f8633d416314cf618118129b6ffbe4c559d6d59cd231f68f15c9e111ae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"084f09f8633d416314cf618118129b6ffbe4c559d6d59cd231f68f15c9e111ae","first_computed_at":"2026-05-18T00:14:19.039891Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:19.039891Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Iga67+7O8Sfjtydu3hJxSiDVbXlgIQoj23ErHvM3xQDQ/ksePP28b/1BTDEqIMrW2eJCAlhrs9id2C20oggyAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:19.040409Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.00571","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a5794e021e9794deff6f568ff7f1e10244a9c6429e7d7aed34b62bad4433bcb3","sha256:a29c3acdf92b7d946bf937955f475828d12a7b1e2f7ee262032cfbdee5aabc14"],"state_sha256":"d95a1ce888616299cc1c87e9c4640aa462309f098dbbd4c8d4b6bfe7317831e4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CXxdPePgRIOpQenE1GWeMZgJF7y+I7utRy+ssJQgwDdTfxa1Wmex1Pc+4eEpdXUtP9upDW3P9MA5KVWtKu/OCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T02:57:38.434964Z","bundle_sha256":"fc580e9f83ab6add0f7dfcd7608b8af1190e7192009bc2a642a9641aa9d60ddc"}}