{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:X4BUGEI57HBG6LCTGKL4IA72U3","short_pith_number":"pith:X4BUGEI5","schema_version":"1.0","canonical_sha256":"bf0343111df9c26f2c533297c403faa6cfabe419ab6957e453cdd196b37d4681","source":{"kind":"arxiv","id":"2508.08917","version":1},"attestation_state":"computed","paper":{"title":"A Pseudo Global Fusion Paradigm-Based Cross-View Network for LiDAR-Based Place Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiehao Luo, Jintao Cheng, Jin Wu, Rui Fan, Wei Zhang, Xiaoyu Tang, Xieyuanli Chen","submitted_at":"2025-08-12T13:12:48Z","abstract_excerpt":"LiDAR-based Place Recognition (LPR) remains a critical task in Embodied Artificial Intelligence (AI) and Autonomous Driving, primarily addressing localization challenges in GPS-denied environments and supporting loop closure detection. Existing approaches reduce place recognition to a Euclidean distance-based metric learning task, neglecting the feature space's intrinsic structures and intra-class variances. Such Euclidean-centric formulation inherently limits the model's capacity to capture nonlinear data distributions, leading to suboptimal performance in complex environments and temporal-va"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2508.08917","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-12T13:12:48Z","cross_cats_sorted":[],"title_canon_sha256":"23ecb2301248136a74aee866ac45f66683e7b31990714b442c4cd48bcb82701d","abstract_canon_sha256":"a6db0c1ea98da59ef938dace594cffa30ae0951b78e67138914824d0bd7300a2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:52:36.529380Z","signature_b64":"pqlizO5qBAz34xeopreotI/pW3zznyculEULGGPC+ULtTxyWCfXXpXr+jy2g8TSXCi2LYgGJeD1i3C9fPiwiAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bf0343111df9c26f2c533297c403faa6cfabe419ab6957e453cdd196b37d4681","last_reissued_at":"2026-07-05T11:52:36.528891Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:52:36.528891Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Pseudo Global Fusion Paradigm-Based Cross-View Network for LiDAR-Based Place Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiehao Luo, Jintao Cheng, Jin Wu, Rui Fan, Wei Zhang, Xiaoyu Tang, Xieyuanli Chen","submitted_at":"2025-08-12T13:12:48Z","abstract_excerpt":"LiDAR-based Place Recognition (LPR) remains a critical task in Embodied Artificial Intelligence (AI) and Autonomous Driving, primarily addressing localization challenges in GPS-denied environments and supporting loop closure detection. Existing approaches reduce place recognition to a Euclidean distance-based metric learning task, neglecting the feature space's intrinsic structures and intra-class variances. Such Euclidean-centric formulation inherently limits the model's capacity to capture nonlinear data distributions, leading to suboptimal performance in complex environments and temporal-va"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.08917","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/2508.08917/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2508.08917","created_at":"2026-07-05T11:52:36.528952+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.08917v1","created_at":"2026-07-05T11:52:36.528952+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.08917","created_at":"2026-07-05T11:52:36.528952+00:00"},{"alias_kind":"pith_short_12","alias_value":"X4BUGEI57HBG","created_at":"2026-07-05T11:52:36.528952+00:00"},{"alias_kind":"pith_short_16","alias_value":"X4BUGEI57HBG6LCT","created_at":"2026-07-05T11:52:36.528952+00:00"},{"alias_kind":"pith_short_8","alias_value":"X4BUGEI5","created_at":"2026-07-05T11:52:36.528952+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/X4BUGEI57HBG6LCTGKL4IA72U3","json":"https://pith.science/pith/X4BUGEI57HBG6LCTGKL4IA72U3.json","graph_json":"https://pith.science/api/pith-number/X4BUGEI57HBG6LCTGKL4IA72U3/graph.json","events_json":"https://pith.science/api/pith-number/X4BUGEI57HBG6LCTGKL4IA72U3/events.json","paper":"https://pith.science/paper/X4BUGEI5"},"agent_actions":{"view_html":"https://pith.science/pith/X4BUGEI57HBG6LCTGKL4IA72U3","download_json":"https://pith.science/pith/X4BUGEI57HBG6LCTGKL4IA72U3.json","view_paper":"https://pith.science/paper/X4BUGEI5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.08917&json=true","fetch_graph":"https://pith.science/api/pith-number/X4BUGEI57HBG6LCTGKL4IA72U3/graph.json","fetch_events":"https://pith.science/api/pith-number/X4BUGEI57HBG6LCTGKL4IA72U3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/X4BUGEI57HBG6LCTGKL4IA72U3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/X4BUGEI57HBG6LCTGKL4IA72U3/action/storage_attestation","attest_author":"https://pith.science/pith/X4BUGEI57HBG6LCTGKL4IA72U3/action/author_attestation","sign_citation":"https://pith.science/pith/X4BUGEI57HBG6LCTGKL4IA72U3/action/citation_signature","submit_replication":"https://pith.science/pith/X4BUGEI57HBG6LCTGKL4IA72U3/action/replication_record"}},"created_at":"2026-07-05T11:52:36.528952+00:00","updated_at":"2026-07-05T11:52:36.528952+00:00"}