{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:OERH6QLSEGCCDZAVZU7SWEAC6N","short_pith_number":"pith:OERH6QLS","canonical_record":{"source":{"id":"2607.00090","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T19:33:39Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"530ce8065d120066d4d5c03dfb587e9ed457dacfe46c39bb67d6cb3a5cba35e5","abstract_canon_sha256":"10595a2a0bd9764a4241bddd0929cb6fbd9e6a4031f2b63c7fc6aaab5209691e"},"schema_version":"1.0"},"canonical_sha256":"71227f4172218421e415cd3f2b1002f379f3a78d84ddb60c7601ef6e40f75fbe","source":{"kind":"arxiv","id":"2607.00090","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.00090","created_at":"2026-07-02T00:18:33Z"},{"alias_kind":"arxiv_version","alias_value":"2607.00090v1","created_at":"2026-07-02T00:18:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.00090","created_at":"2026-07-02T00:18:33Z"},{"alias_kind":"pith_short_12","alias_value":"OERH6QLSEGCC","created_at":"2026-07-02T00:18:33Z"},{"alias_kind":"pith_short_16","alias_value":"OERH6QLSEGCCDZAV","created_at":"2026-07-02T00:18:33Z"},{"alias_kind":"pith_short_8","alias_value":"OERH6QLS","created_at":"2026-07-02T00:18:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:OERH6QLSEGCCDZAVZU7SWEAC6N","target":"record","payload":{"canonical_record":{"source":{"id":"2607.00090","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T19:33:39Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"530ce8065d120066d4d5c03dfb587e9ed457dacfe46c39bb67d6cb3a5cba35e5","abstract_canon_sha256":"10595a2a0bd9764a4241bddd0929cb6fbd9e6a4031f2b63c7fc6aaab5209691e"},"schema_version":"1.0"},"canonical_sha256":"71227f4172218421e415cd3f2b1002f379f3a78d84ddb60c7601ef6e40f75fbe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-02T00:18:33.991095Z","signature_b64":"Rhm6IcBOXn2XoXVVyF+AMzIt4rqDnFnPrd5Ld/f5ISHAwfOIHNT8Inwd6F3wyWjNk83jnvoW5t7CIWEHsIQ1Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"71227f4172218421e415cd3f2b1002f379f3a78d84ddb60c7601ef6e40f75fbe","last_reissued_at":"2026-07-02T00:18:33.990597Z","signature_status":"signed_v1","first_computed_at":"2026-07-02T00:18:33.990597Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.00090","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":"2026-07-02T00:18:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gJEnDkaxWKZ6fb2Pdc2dNKqLbqH5/XssTAs2I25fntKyZrcTZrBICrLAEHJquf66LibtaYvQxGP0V+3stKw3AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T04:10:46.965071Z"},"content_sha256":"2a768fd10b9a38be962ab5565e9d8975a60db023cfb01b47f4b11e0abf6f4eac","schema_version":"1.0","event_id":"sha256:2a768fd10b9a38be962ab5565e9d8975a60db023cfb01b47f4b11e0abf6f4eac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:OERH6QLSEGCCDZAVZU7SWEAC6N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Lost in the Tail: Addressing Geographic Imbalance in Urban Visual Place Recognition","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chuan Li, Da Chen, Jiacheng Yang, Waishan Qiu, Yang Lu, Zhiyao Shu","submitted_at":"2026-06-30T19:33:39Z","abstract_excerpt":"Urban-scale Visual Place Recognition (VPR) aims to identify the geographic location of a query image by matching it against a geo-tagged database. While recent methods achieve impressive performance, they overlook a serious long-tailed problem hidden in urban-scale datasets, which biases the model towards locations with abundant images and ignores less-visited areas, causing models to systematically favor frequently photographed locations while failing in sparsely covered areas. In this paper, we systematically characterize this imbalance challenge and propose Distribution-Aware Place Recognit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.00090","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/2607.00090/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":"2026-07-02T00:18:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nXktZN3RPbU298klmr6jaRvaFtjzIgdUap9VX7X5oLQUfGnqOR4P330OF5OCErNhylOTxoiDXpuG40jiWSxBDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T04:10:46.965484Z"},"content_sha256":"6036cc9f683b09a54ca8ae39f6a66996d36ee2274f7d4994dee17562840c029a","schema_version":"1.0","event_id":"sha256:6036cc9f683b09a54ca8ae39f6a66996d36ee2274f7d4994dee17562840c029a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OERH6QLSEGCCDZAVZU7SWEAC6N/bundle.json","state_url":"https://pith.science/pith/OERH6QLSEGCCDZAVZU7SWEAC6N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OERH6QLSEGCCDZAVZU7SWEAC6N/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":"2026-07-04T04:10:46Z","links":{"resolver":"https://pith.science/pith/OERH6QLSEGCCDZAVZU7SWEAC6N","bundle":"https://pith.science/pith/OERH6QLSEGCCDZAVZU7SWEAC6N/bundle.json","state":"https://pith.science/pith/OERH6QLSEGCCDZAVZU7SWEAC6N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OERH6QLSEGCCDZAVZU7SWEAC6N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:OERH6QLSEGCCDZAVZU7SWEAC6N","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":"10595a2a0bd9764a4241bddd0929cb6fbd9e6a4031f2b63c7fc6aaab5209691e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T19:33:39Z","title_canon_sha256":"530ce8065d120066d4d5c03dfb587e9ed457dacfe46c39bb67d6cb3a5cba35e5"},"schema_version":"1.0","source":{"id":"2607.00090","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.00090","created_at":"2026-07-02T00:18:33Z"},{"alias_kind":"arxiv_version","alias_value":"2607.00090v1","created_at":"2026-07-02T00:18:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.00090","created_at":"2026-07-02T00:18:33Z"},{"alias_kind":"pith_short_12","alias_value":"OERH6QLSEGCC","created_at":"2026-07-02T00:18:33Z"},{"alias_kind":"pith_short_16","alias_value":"OERH6QLSEGCCDZAV","created_at":"2026-07-02T00:18:33Z"},{"alias_kind":"pith_short_8","alias_value":"OERH6QLS","created_at":"2026-07-02T00:18:33Z"}],"graph_snapshots":[{"event_id":"sha256:6036cc9f683b09a54ca8ae39f6a66996d36ee2274f7d4994dee17562840c029a","target":"graph","created_at":"2026-07-02T00:18:33Z","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/2607.00090/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Urban-scale Visual Place Recognition (VPR) aims to identify the geographic location of a query image by matching it against a geo-tagged database. While recent methods achieve impressive performance, they overlook a serious long-tailed problem hidden in urban-scale datasets, which biases the model towards locations with abundant images and ignores less-visited areas, causing models to systematically favor frequently photographed locations while failing in sparsely covered areas. In this paper, we systematically characterize this imbalance challenge and propose Distribution-Aware Place Recognit","authors_text":"Chuan Li, Da Chen, Jiacheng Yang, Waishan Qiu, Yang Lu, Zhiyao Shu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T19:33:39Z","title":"Lost in the Tail: Addressing Geographic Imbalance in Urban Visual Place Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.00090","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":"sha256:2a768fd10b9a38be962ab5565e9d8975a60db023cfb01b47f4b11e0abf6f4eac","target":"record","created_at":"2026-07-02T00:18:33Z","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":"10595a2a0bd9764a4241bddd0929cb6fbd9e6a4031f2b63c7fc6aaab5209691e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T19:33:39Z","title_canon_sha256":"530ce8065d120066d4d5c03dfb587e9ed457dacfe46c39bb67d6cb3a5cba35e5"},"schema_version":"1.0","source":{"id":"2607.00090","kind":"arxiv","version":1}},"canonical_sha256":"71227f4172218421e415cd3f2b1002f379f3a78d84ddb60c7601ef6e40f75fbe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71227f4172218421e415cd3f2b1002f379f3a78d84ddb60c7601ef6e40f75fbe","first_computed_at":"2026-07-02T00:18:33.990597Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-02T00:18:33.990597Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Rhm6IcBOXn2XoXVVyF+AMzIt4rqDnFnPrd5Ld/f5ISHAwfOIHNT8Inwd6F3wyWjNk83jnvoW5t7CIWEHsIQ1Ag==","signature_status":"signed_v1","signed_at":"2026-07-02T00:18:33.991095Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.00090","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a768fd10b9a38be962ab5565e9d8975a60db023cfb01b47f4b11e0abf6f4eac","sha256:6036cc9f683b09a54ca8ae39f6a66996d36ee2274f7d4994dee17562840c029a"],"state_sha256":"1ab121f8b40e250833ec839acdb775cf2715fa30ec327ac4eed50b5d07a8d37a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KAbU93eJDLXh9WKTHSzeiTnOMwV2jmncsvH9Esee10uD/4/t/BIDqy9Vx6QxnOx5z07UpxsSLKbgBHMZRM1KDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T04:10:46.967818Z","bundle_sha256":"54f4a090bc43ee2757a983ecebd9b9cae147f3f74b7f8148404fcaf01160b0ef"}}