{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:7SZGOUG7HBJNUIU5OPNPNNYQ53","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":"8515746a35597a9b3de92c38d50d13939715453d7fad7db83d033994388742ca","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-09-02T10:56:41Z","title_canon_sha256":"b8188391db62d018f73117b00e6711b8d04c0e19b97534243e7c3993310ea556"},"schema_version":"1.0","source":{"id":"2209.02429","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.02429","created_at":"2026-07-05T05:43:03Z"},{"alias_kind":"arxiv_version","alias_value":"2209.02429v2","created_at":"2026-07-05T05:43:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.02429","created_at":"2026-07-05T05:43:03Z"},{"alias_kind":"pith_short_12","alias_value":"7SZGOUG7HBJN","created_at":"2026-07-05T05:43:03Z"},{"alias_kind":"pith_short_16","alias_value":"7SZGOUG7HBJNUIU5","created_at":"2026-07-05T05:43:03Z"},{"alias_kind":"pith_short_8","alias_value":"7SZGOUG7","created_at":"2026-07-05T05:43:03Z"}],"graph_snapshots":[{"event_id":"sha256:b1f8293d41159294210b7924120123c84933aa5650db7baddb74320326a48a8d","target":"graph","created_at":"2026-07-05T05:43:03Z","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/2209.02429/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recognizing the country where a picture has been taken has many potential applications, such as identification of fake news and prevention of disinformation campaigns. Previous works focused on the estimation of the geo-coordinates where a picture has been taken. Yet, recognizing in which country an image was taken could be more critical, from a semantic and forensic point of view, than estimating its spatial coordinates. In the above framework, this paper provides two contributions. First, we introduce the VIPPGeo dataset, containing 3.8 million geo-tagged images. Secondly, we used the datase","authors_text":"Benedetta Tondi, Giovanna Maria Dimitri, Jun Wang, Mauro Barni, Omran Alamayreh","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-09-02T10:56:41Z","title":"Which country is this picture from? New data and methods for DNN-based country recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.02429","kind":"arxiv","version":2},"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:cb75e2c70782925338be0085a59d073347983ee75994a142835bc4d02b6e3b09","target":"record","created_at":"2026-07-05T05:43:03Z","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":"8515746a35597a9b3de92c38d50d13939715453d7fad7db83d033994388742ca","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-09-02T10:56:41Z","title_canon_sha256":"b8188391db62d018f73117b00e6711b8d04c0e19b97534243e7c3993310ea556"},"schema_version":"1.0","source":{"id":"2209.02429","kind":"arxiv","version":2}},"canonical_sha256":"fcb26750df3852da229d73daf6b710eed555084f3e27e5cfe196eb68a349f977","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fcb26750df3852da229d73daf6b710eed555084f3e27e5cfe196eb68a349f977","first_computed_at":"2026-07-05T05:43:03.218980Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:43:03.218980Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jvOkTR5CUx5asSft44eRS0dQGLfrgu+glycbgV/MiV/LunaPsFGrsS4wVQGGvjikMjJ6DVa7Y9Fh2YpWuErYBg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:43:03.219411Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.02429","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cb75e2c70782925338be0085a59d073347983ee75994a142835bc4d02b6e3b09","sha256:b1f8293d41159294210b7924120123c84933aa5650db7baddb74320326a48a8d"],"state_sha256":"93fc43518b2d6996599f5cc32fd290d1bca4d95d888e7f2474756c3fbaf7a8a2"}