{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:6XS2HTF56VKPO656KI2GQDQJQP","short_pith_number":"pith:6XS2HTF5","canonical_record":{"source":{"id":"2207.02431","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-06T04:25:51Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"1bad2cff1f3722739438482e7963a7220bb1cd096681632cf2c73c264c0779ff","abstract_canon_sha256":"abcde52deaf60cd844486de7835b45f8b98e8d3ae631a570ecf8920fe9fc944d"},"schema_version":"1.0"},"canonical_sha256":"f5e5a3ccbdf554f77bbe5234680e0983fbc72582c4b042ef148a172e54ac6fa7","source":{"kind":"arxiv","id":"2207.02431","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.02431","created_at":"2026-07-05T04:38:03Z"},{"alias_kind":"arxiv_version","alias_value":"2207.02431v1","created_at":"2026-07-05T04:38:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.02431","created_at":"2026-07-05T04:38:03Z"},{"alias_kind":"pith_short_12","alias_value":"6XS2HTF56VKP","created_at":"2026-07-05T04:38:03Z"},{"alias_kind":"pith_short_16","alias_value":"6XS2HTF56VKPO656","created_at":"2026-07-05T04:38:03Z"},{"alias_kind":"pith_short_8","alias_value":"6XS2HTF5","created_at":"2026-07-05T04:38:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:6XS2HTF56VKPO656KI2GQDQJQP","target":"record","payload":{"canonical_record":{"source":{"id":"2207.02431","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-06T04:25:51Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"1bad2cff1f3722739438482e7963a7220bb1cd096681632cf2c73c264c0779ff","abstract_canon_sha256":"abcde52deaf60cd844486de7835b45f8b98e8d3ae631a570ecf8920fe9fc944d"},"schema_version":"1.0"},"canonical_sha256":"f5e5a3ccbdf554f77bbe5234680e0983fbc72582c4b042ef148a172e54ac6fa7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:38:03.051903Z","signature_b64":"v9owysVr2fHv2nPtc5yhCXSP5z4llBO/4PP0e9AFIBoBaEAIyQKi0RfSj3uCB/P5RRHqk3MpaZGNZKbJ/R1EBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f5e5a3ccbdf554f77bbe5234680e0983fbc72582c4b042ef148a172e54ac6fa7","last_reissued_at":"2026-07-05T04:38:03.051443Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:38:03.051443Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2207.02431","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":"2026-07-05T04:38:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P0Wpn3ZUA+WGySS0PkN+dNZpfPe6EUQ3mt18XBIXIYKI1YwvaXrS62B4VFAs9dzcuw1gcavvtiHCn63Et+SBAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:05:41.286307Z"},"content_sha256":"fd98237988fb74f4936bcf0668da3bdc203e71102a8573cb389d6564209a7c76","schema_version":"1.0","event_id":"sha256:fd98237988fb74f4936bcf0668da3bdc203e71102a8573cb389d6564209a7c76"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:6XS2HTF56VKPO656KI2GQDQJQP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GAMa: Cross-view Video Geo-localization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Chen Chen, Mubarak Shah, Shruti Vyas","submitted_at":"2022-07-06T04:25:51Z","abstract_excerpt":"The existing work in cross-view geo-localization is based on images where a ground panorama is matched to an aerial image. In this work, we focus on ground videos instead of images which provides additional contextual cues which are important for this task. There are no existing datasets for this problem, therefore we propose GAMa dataset, a large-scale dataset with ground videos and corresponding aerial images. We also propose a novel approach to solve this problem. At clip-level, a short video clip is matched with corresponding aerial image and is later used to get video-level geo-localizati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.02431","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/2207.02431/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":"2026-07-05T04:38:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fsq0J8k/AmcCM9rMCj3GrySHEt0V6KSYDwqdhlmz1Cdp35nyMFE89zipuNKftfKwyUZRdstcZ7NDH0kIYczsCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:05:41.286690Z"},"content_sha256":"3f81063669b8253f77c477fe1dcbe474d5c57141364c0aedf6dcced68feb4755","schema_version":"1.0","event_id":"sha256:3f81063669b8253f77c477fe1dcbe474d5c57141364c0aedf6dcced68feb4755"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6XS2HTF56VKPO656KI2GQDQJQP/bundle.json","state_url":"https://pith.science/pith/6XS2HTF56VKPO656KI2GQDQJQP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6XS2HTF56VKPO656KI2GQDQJQP/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":"2026-07-06T19:05:41Z","links":{"resolver":"https://pith.science/pith/6XS2HTF56VKPO656KI2GQDQJQP","bundle":"https://pith.science/pith/6XS2HTF56VKPO656KI2GQDQJQP/bundle.json","state":"https://pith.science/pith/6XS2HTF56VKPO656KI2GQDQJQP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6XS2HTF56VKPO656KI2GQDQJQP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:6XS2HTF56VKPO656KI2GQDQJQP","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":"abcde52deaf60cd844486de7835b45f8b98e8d3ae631a570ecf8920fe9fc944d","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-06T04:25:51Z","title_canon_sha256":"1bad2cff1f3722739438482e7963a7220bb1cd096681632cf2c73c264c0779ff"},"schema_version":"1.0","source":{"id":"2207.02431","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.02431","created_at":"2026-07-05T04:38:03Z"},{"alias_kind":"arxiv_version","alias_value":"2207.02431v1","created_at":"2026-07-05T04:38:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.02431","created_at":"2026-07-05T04:38:03Z"},{"alias_kind":"pith_short_12","alias_value":"6XS2HTF56VKP","created_at":"2026-07-05T04:38:03Z"},{"alias_kind":"pith_short_16","alias_value":"6XS2HTF56VKPO656","created_at":"2026-07-05T04:38:03Z"},{"alias_kind":"pith_short_8","alias_value":"6XS2HTF5","created_at":"2026-07-05T04:38:03Z"}],"graph_snapshots":[{"event_id":"sha256:3f81063669b8253f77c477fe1dcbe474d5c57141364c0aedf6dcced68feb4755","target":"graph","created_at":"2026-07-05T04:38:03Z","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/2207.02431/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The existing work in cross-view geo-localization is based on images where a ground panorama is matched to an aerial image. In this work, we focus on ground videos instead of images which provides additional contextual cues which are important for this task. There are no existing datasets for this problem, therefore we propose GAMa dataset, a large-scale dataset with ground videos and corresponding aerial images. We also propose a novel approach to solve this problem. At clip-level, a short video clip is matched with corresponding aerial image and is later used to get video-level geo-localizati","authors_text":"Chen Chen, Mubarak Shah, Shruti Vyas","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-06T04:25:51Z","title":"GAMa: Cross-view Video Geo-localization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.02431","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:fd98237988fb74f4936bcf0668da3bdc203e71102a8573cb389d6564209a7c76","target":"record","created_at":"2026-07-05T04:38:03Z","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":"abcde52deaf60cd844486de7835b45f8b98e8d3ae631a570ecf8920fe9fc944d","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-06T04:25:51Z","title_canon_sha256":"1bad2cff1f3722739438482e7963a7220bb1cd096681632cf2c73c264c0779ff"},"schema_version":"1.0","source":{"id":"2207.02431","kind":"arxiv","version":1}},"canonical_sha256":"f5e5a3ccbdf554f77bbe5234680e0983fbc72582c4b042ef148a172e54ac6fa7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f5e5a3ccbdf554f77bbe5234680e0983fbc72582c4b042ef148a172e54ac6fa7","first_computed_at":"2026-07-05T04:38:03.051443Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:38:03.051443Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v9owysVr2fHv2nPtc5yhCXSP5z4llBO/4PP0e9AFIBoBaEAIyQKi0RfSj3uCB/P5RRHqk3MpaZGNZKbJ/R1EBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:38:03.051903Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.02431","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fd98237988fb74f4936bcf0668da3bdc203e71102a8573cb389d6564209a7c76","sha256:3f81063669b8253f77c477fe1dcbe474d5c57141364c0aedf6dcced68feb4755"],"state_sha256":"e75835df21284c0c65dec8af110b36304f3c8c1a6630e9d0d882fb28e2cec2c4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1bwQWIIOJ/YOWKuRQfhH4stPHdZdoFYL5NPsTUgXmO7uDTt6V4O/B2OBzfy2FIU7bfJkS0wDZQRua7HSeYX2Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T19:05:41.288831Z","bundle_sha256":"1e8e363639a0b96636b14e0f2349a7fcdbc82dacc755855b2ef649ccc7f3c762"}}