{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:HN275UG3SRJPIOBWRAUI5PQXN6","short_pith_number":"pith:HN275UG3","canonical_record":{"source":{"id":"1706.00757","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2017-06-02T17:03:06Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"2a9e0f92c661750d095ffe0b6d8ff3a8b68aa165829739afbc3c7347c264a80d","abstract_canon_sha256":"7b4941549210aecc20ed73ae54b75d4c9b1231fea9ad2100aa4266ea36ca61de"},"schema_version":"1.0"},"canonical_sha256":"3b75fed0db9452f4383688288ebe176f8a892d0a3e2230ef5ff5cc676f12f0b3","source":{"kind":"arxiv","id":"1706.00757","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.00757","created_at":"2026-05-18T00:43:10Z"},{"alias_kind":"arxiv_version","alias_value":"1706.00757v1","created_at":"2026-05-18T00:43:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.00757","created_at":"2026-05-18T00:43:10Z"},{"alias_kind":"pith_short_12","alias_value":"HN275UG3SRJP","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"HN275UG3SRJPIOBW","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"HN275UG3","created_at":"2026-05-18T12:31:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:HN275UG3SRJPIOBWRAUI5PQXN6","target":"record","payload":{"canonical_record":{"source":{"id":"1706.00757","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2017-06-02T17:03:06Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"2a9e0f92c661750d095ffe0b6d8ff3a8b68aa165829739afbc3c7347c264a80d","abstract_canon_sha256":"7b4941549210aecc20ed73ae54b75d4c9b1231fea9ad2100aa4266ea36ca61de"},"schema_version":"1.0"},"canonical_sha256":"3b75fed0db9452f4383688288ebe176f8a892d0a3e2230ef5ff5cc676f12f0b3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:43:10.138017Z","signature_b64":"tHw47W6qPfd+BnzRwYYZXyyKsqhv1nNoGapaAv//DvFUADm7XIkAZN8dAxa87rspwvuzDW3ZxBrEYa2VAXtlBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3b75fed0db9452f4383688288ebe176f8a892d0a3e2230ef5ff5cc676f12f0b3","last_reissued_at":"2026-05-18T00:43:10.137489Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:43:10.137489Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.00757","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":"2026-05-18T00:43:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2mct6FFHmqzeBcbdUWg4NE0Lb6vSHYuOIzj5PAi6qxOvNP2I1X3KX+GAZEHyAHCStkRggo1fDiAvhpI6ESqTDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T19:11:43.682015Z"},"content_sha256":"04263712f358fdf828feffa6e2182119a19c5b59865437d4bc70496219721517","schema_version":"1.0","event_id":"sha256:04263712f358fdf828feffa6e2182119a19c5b59865437d4bc70496219721517"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:HN275UG3SRJPIOBWRAUI5PQXN6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient Detection of Points of Interest from Georeferenced Visual Content","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MM"],"primary_cat":"cs.DB","authors_text":"Juan A. Colmenares, Ying Lu","submitted_at":"2017-06-02T17:03:06Z","abstract_excerpt":"Many people take photos and videos with smartphones and more recently with 360-degree cameras at popular places and events, and share them in social media. Such visual content is produced in large volumes in urban areas, and it is a source of information that online users could exploit to learn what has got the interest of the general public on the streets of the cities where they live or plan to visit. A key step to providing users with that information is to identify the most popular k spots in specified areas. In this paper, we propose a clustering and incremental sampling (C&IS) approach t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.00757","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":"2026-05-18T00:43:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/wg6lnbyi+e9fNoohTOhPc7j7w9a0ZY3tm6AY9V3BV2326aFhEbEEEhxe2asWDC7WrrQMB17cQPxmHC0VUJzDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-08T19:11:43.682392Z"},"content_sha256":"79925fca301485426a3754eced12dca800909adc07706ea43c8256b00d8b3814","schema_version":"1.0","event_id":"sha256:79925fca301485426a3754eced12dca800909adc07706ea43c8256b00d8b3814"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HN275UG3SRJPIOBWRAUI5PQXN6/bundle.json","state_url":"https://pith.science/pith/HN275UG3SRJPIOBWRAUI5PQXN6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HN275UG3SRJPIOBWRAUI5PQXN6/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":"2026-06-08T19:11:43Z","links":{"resolver":"https://pith.science/pith/HN275UG3SRJPIOBWRAUI5PQXN6","bundle":"https://pith.science/pith/HN275UG3SRJPIOBWRAUI5PQXN6/bundle.json","state":"https://pith.science/pith/HN275UG3SRJPIOBWRAUI5PQXN6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HN275UG3SRJPIOBWRAUI5PQXN6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:HN275UG3SRJPIOBWRAUI5PQXN6","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":"7b4941549210aecc20ed73ae54b75d4c9b1231fea9ad2100aa4266ea36ca61de","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2017-06-02T17:03:06Z","title_canon_sha256":"2a9e0f92c661750d095ffe0b6d8ff3a8b68aa165829739afbc3c7347c264a80d"},"schema_version":"1.0","source":{"id":"1706.00757","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.00757","created_at":"2026-05-18T00:43:10Z"},{"alias_kind":"arxiv_version","alias_value":"1706.00757v1","created_at":"2026-05-18T00:43:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.00757","created_at":"2026-05-18T00:43:10Z"},{"alias_kind":"pith_short_12","alias_value":"HN275UG3SRJP","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"HN275UG3SRJPIOBW","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"HN275UG3","created_at":"2026-05-18T12:31:18Z"}],"graph_snapshots":[{"event_id":"sha256:79925fca301485426a3754eced12dca800909adc07706ea43c8256b00d8b3814","target":"graph","created_at":"2026-05-18T00:43:10Z","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":"Many people take photos and videos with smartphones and more recently with 360-degree cameras at popular places and events, and share them in social media. Such visual content is produced in large volumes in urban areas, and it is a source of information that online users could exploit to learn what has got the interest of the general public on the streets of the cities where they live or plan to visit. A key step to providing users with that information is to identify the most popular k spots in specified areas. In this paper, we propose a clustering and incremental sampling (C&IS) approach t","authors_text":"Juan A. Colmenares, Ying Lu","cross_cats":["cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2017-06-02T17:03:06Z","title":"Efficient Detection of Points of Interest from Georeferenced Visual Content"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.00757","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":"sha256:04263712f358fdf828feffa6e2182119a19c5b59865437d4bc70496219721517","target":"record","created_at":"2026-05-18T00:43:10Z","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":"7b4941549210aecc20ed73ae54b75d4c9b1231fea9ad2100aa4266ea36ca61de","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2017-06-02T17:03:06Z","title_canon_sha256":"2a9e0f92c661750d095ffe0b6d8ff3a8b68aa165829739afbc3c7347c264a80d"},"schema_version":"1.0","source":{"id":"1706.00757","kind":"arxiv","version":1}},"canonical_sha256":"3b75fed0db9452f4383688288ebe176f8a892d0a3e2230ef5ff5cc676f12f0b3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b75fed0db9452f4383688288ebe176f8a892d0a3e2230ef5ff5cc676f12f0b3","first_computed_at":"2026-05-18T00:43:10.137489Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:10.137489Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tHw47W6qPfd+BnzRwYYZXyyKsqhv1nNoGapaAv//DvFUADm7XIkAZN8dAxa87rspwvuzDW3ZxBrEYa2VAXtlBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:10.138017Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.00757","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:04263712f358fdf828feffa6e2182119a19c5b59865437d4bc70496219721517","sha256:79925fca301485426a3754eced12dca800909adc07706ea43c8256b00d8b3814"],"state_sha256":"13d7a329d364c8226923af1b4a1d314c260f26f18cd075070b3ce4f745ff9039"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nsKjQTOFfYyXDGlfirwz5GPPK03o/JTno7ooXG0pH6XFcgW4MAQuhUV8D35GWwgF2iPPOiZ3/ywiFL57qIJ+Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-08T19:11:43.685897Z","bundle_sha256":"0dfc00b3b247aef1c1030ff1f218c8258a764003285086eed46913d204c44642"}}