{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:7EITEZDUKCOQKTW5O675VNMMEP","short_pith_number":"pith:7EITEZDU","canonical_record":{"source":{"id":"2312.08060","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-13T11:14:57Z","cross_cats_sorted":[],"title_canon_sha256":"6f6cd175f4c61b51f763fe2df1ac321facf0170b874e3feb1459706508b213fe","abstract_canon_sha256":"33ec3567bbe7e17c8885fc45182ff0f5a5bb3813361b5be85736ba5c1f6e3a69"},"schema_version":"1.0"},"canonical_sha256":"f911326474509d054edd77bfdab58c23de63172eb2ed6f5fa6789f3434f603fd","source":{"kind":"arxiv","id":"2312.08060","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.08060","created_at":"2026-07-05T07:23:40Z"},{"alias_kind":"arxiv_version","alias_value":"2312.08060v1","created_at":"2026-07-05T07:23:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.08060","created_at":"2026-07-05T07:23:40Z"},{"alias_kind":"pith_short_12","alias_value":"7EITEZDUKCOQ","created_at":"2026-07-05T07:23:40Z"},{"alias_kind":"pith_short_16","alias_value":"7EITEZDUKCOQKTW5","created_at":"2026-07-05T07:23:40Z"},{"alias_kind":"pith_short_8","alias_value":"7EITEZDU","created_at":"2026-07-05T07:23:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:7EITEZDUKCOQKTW5O675VNMMEP","target":"record","payload":{"canonical_record":{"source":{"id":"2312.08060","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-13T11:14:57Z","cross_cats_sorted":[],"title_canon_sha256":"6f6cd175f4c61b51f763fe2df1ac321facf0170b874e3feb1459706508b213fe","abstract_canon_sha256":"33ec3567bbe7e17c8885fc45182ff0f5a5bb3813361b5be85736ba5c1f6e3a69"},"schema_version":"1.0"},"canonical_sha256":"f911326474509d054edd77bfdab58c23de63172eb2ed6f5fa6789f3434f603fd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:23:40.775350Z","signature_b64":"hlFKc5zO2vdnaFD/XieEi7XyY12TbXBW6GEU1uwljoQ1UHDxWA6dsEcxaHprxG2WMexhJ8GoXLthIyLzM7eVCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f911326474509d054edd77bfdab58c23de63172eb2ed6f5fa6789f3434f603fd","last_reissued_at":"2026-07-05T07:23:40.774882Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:23:40.774882Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.08060","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":"2026-07-05T07:23:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CDf3y/KrNy+Z4o6WWpMfQPslztu0HgQuLW5OdYJXRWlVKRmbRnPsAcWFdfqbqPaUB18GSQ3iG6A74wFYMhTzDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T20:26:12.627888Z"},"content_sha256":"4b7fe0c6172a147dcb212d3da5181c0f183adad71f2ea43791e3f2b7a7020a5d","schema_version":"1.0","event_id":"sha256:4b7fe0c6172a147dcb212d3da5181c0f183adad71f2ea43791e3f2b7a7020a5d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:7EITEZDUKCOQKTW5O675VNMMEP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"C-BEV: Contrastive Bird's Eye View Training for Cross-View Image Retrieval and 3-DoF Pose Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Christoph Bodensteiner, Florian Fervers, Michael Arens, Rainer Stiefelhagen, Sebastian Bullinger","submitted_at":"2023-12-13T11:14:57Z","abstract_excerpt":"To find the geolocation of a street-view image, cross-view geolocalization (CVGL) methods typically perform image retrieval on a database of georeferenced aerial images and determine the location from the visually most similar match. Recent approaches focus mainly on settings where street-view and aerial images are preselected to align w.r.t. translation or orientation, but struggle in challenging real-world scenarios where varying camera poses have to be matched to the same aerial image. We propose a novel trainable retrieval architecture that uses bird's eye view (BEV) maps rather than vecto"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.08060","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/2312.08060/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":"2026-07-05T07:23:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6PN4r19OCeWEkP78B0tOAyQwX/KW+1VdOSzwdkeF+gjhstlsmkW8mUJYwrdnlSU9U5ooO5qCcV5JYMydsfGHAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T20:26:12.628791Z"},"content_sha256":"5dbe421b2040d82d274d6b8504fe7d3b8b54ee8a1a11a9ec6c234d0db0d367c3","schema_version":"1.0","event_id":"sha256:5dbe421b2040d82d274d6b8504fe7d3b8b54ee8a1a11a9ec6c234d0db0d367c3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7EITEZDUKCOQKTW5O675VNMMEP/bundle.json","state_url":"https://pith.science/pith/7EITEZDUKCOQKTW5O675VNMMEP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7EITEZDUKCOQKTW5O675VNMMEP/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":"2026-08-09T20:26:12Z","links":{"resolver":"https://pith.science/pith/7EITEZDUKCOQKTW5O675VNMMEP","bundle":"https://pith.science/pith/7EITEZDUKCOQKTW5O675VNMMEP/bundle.json","state":"https://pith.science/pith/7EITEZDUKCOQKTW5O675VNMMEP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7EITEZDUKCOQKTW5O675VNMMEP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:7EITEZDUKCOQKTW5O675VNMMEP","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":"33ec3567bbe7e17c8885fc45182ff0f5a5bb3813361b5be85736ba5c1f6e3a69","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-13T11:14:57Z","title_canon_sha256":"6f6cd175f4c61b51f763fe2df1ac321facf0170b874e3feb1459706508b213fe"},"schema_version":"1.0","source":{"id":"2312.08060","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.08060","created_at":"2026-07-05T07:23:40Z"},{"alias_kind":"arxiv_version","alias_value":"2312.08060v1","created_at":"2026-07-05T07:23:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.08060","created_at":"2026-07-05T07:23:40Z"},{"alias_kind":"pith_short_12","alias_value":"7EITEZDUKCOQ","created_at":"2026-07-05T07:23:40Z"},{"alias_kind":"pith_short_16","alias_value":"7EITEZDUKCOQKTW5","created_at":"2026-07-05T07:23:40Z"},{"alias_kind":"pith_short_8","alias_value":"7EITEZDU","created_at":"2026-07-05T07:23:40Z"}],"graph_snapshots":[{"event_id":"sha256:5dbe421b2040d82d274d6b8504fe7d3b8b54ee8a1a11a9ec6c234d0db0d367c3","target":"graph","created_at":"2026-07-05T07:23:40Z","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/2312.08060/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To find the geolocation of a street-view image, cross-view geolocalization (CVGL) methods typically perform image retrieval on a database of georeferenced aerial images and determine the location from the visually most similar match. Recent approaches focus mainly on settings where street-view and aerial images are preselected to align w.r.t. translation or orientation, but struggle in challenging real-world scenarios where varying camera poses have to be matched to the same aerial image. We propose a novel trainable retrieval architecture that uses bird's eye view (BEV) maps rather than vecto","authors_text":"Christoph Bodensteiner, Florian Fervers, Michael Arens, Rainer Stiefelhagen, Sebastian Bullinger","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-13T11:14:57Z","title":"C-BEV: Contrastive Bird's Eye View Training for Cross-View Image Retrieval and 3-DoF Pose Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.08060","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":"sha256:4b7fe0c6172a147dcb212d3da5181c0f183adad71f2ea43791e3f2b7a7020a5d","target":"record","created_at":"2026-07-05T07:23:40Z","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":"33ec3567bbe7e17c8885fc45182ff0f5a5bb3813361b5be85736ba5c1f6e3a69","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-13T11:14:57Z","title_canon_sha256":"6f6cd175f4c61b51f763fe2df1ac321facf0170b874e3feb1459706508b213fe"},"schema_version":"1.0","source":{"id":"2312.08060","kind":"arxiv","version":1}},"canonical_sha256":"f911326474509d054edd77bfdab58c23de63172eb2ed6f5fa6789f3434f603fd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f911326474509d054edd77bfdab58c23de63172eb2ed6f5fa6789f3434f603fd","first_computed_at":"2026-07-05T07:23:40.774882Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:23:40.774882Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hlFKc5zO2vdnaFD/XieEi7XyY12TbXBW6GEU1uwljoQ1UHDxWA6dsEcxaHprxG2WMexhJ8GoXLthIyLzM7eVCA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:23:40.775350Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.08060","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4b7fe0c6172a147dcb212d3da5181c0f183adad71f2ea43791e3f2b7a7020a5d","sha256:5dbe421b2040d82d274d6b8504fe7d3b8b54ee8a1a11a9ec6c234d0db0d367c3"],"state_sha256":"dbdd978e95a048ff8e58edda1fff7ed1aa1f5a7babe6e17197caf84a0ecff808"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B0/aeyQ1YZ1urZKPCl0D5kjOi8DpPnyPd8G7KnDlTn4Gs5YTv+uR66hcnNgHGuzEBLaJdJbHE3tY4uSfakmvBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T20:26:12.635939Z","bundle_sha256":"155abc18dafec8c9ebf4a2aedb840ffb4967978b97d2866f05e3853381dd99a5"}}