{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:HLXTDB2MUHPHWX4IEQKZU7MSSU","short_pith_number":"pith:HLXTDB2M","schema_version":"1.0","canonical_sha256":"3aef31874ca1de7b5f8824159a7d929520dc47320f2c69f55dc27eacabdb10cf","source":{"kind":"arxiv","id":"2508.00359","version":1},"attestation_state":"computed","paper":{"title":"CoST: Efficient Collaborative Perception From Unified Spatiotemporal Perspective","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jinyu Chen, Runsheng Xu, Si Liu, Yifan Sun, Yi Liu, Yulu Gao, Zongheng Tang","submitted_at":"2025-08-01T06:45:12Z","abstract_excerpt":"Collaborative perception shares information among different agents and helps solving problems that individual agents may face, e.g., occlusions and small sensing range. Prior methods usually separate the multi-agent fusion and multi-time fusion into two consecutive steps. In contrast, this paper proposes an efficient collaborative perception that aggregates the observations from different agents (space) and different times into a unified spatio-temporal space simultanesouly. The unified spatio-temporal space brings two benefits, i.e., efficient feature transmission and superior feature fusion."},"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":"2508.00359","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-01T06:45:12Z","cross_cats_sorted":[],"title_canon_sha256":"930b9cf2bd1c2b206fef63e690bb5d243463d7cccfd6e14b882de69edfd5cd90","abstract_canon_sha256":"3acb20e94d1630508ca03b42975417878ac41a2e9b5b120dcecec9980cd61d7d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:46:54.189486Z","signature_b64":"uZOjaMieuFtZ9pTkllj48iv/suFKL7rPPQxoJSsUQrs5vdXqX095mhejisGUWJlFkNGR/TyxbDPCSykV5qFgDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3aef31874ca1de7b5f8824159a7d929520dc47320f2c69f55dc27eacabdb10cf","last_reissued_at":"2026-07-05T11:46:54.189008Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:46:54.189008Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CoST: Efficient Collaborative Perception From Unified Spatiotemporal Perspective","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jinyu Chen, Runsheng Xu, Si Liu, Yifan Sun, Yi Liu, Yulu Gao, Zongheng Tang","submitted_at":"2025-08-01T06:45:12Z","abstract_excerpt":"Collaborative perception shares information among different agents and helps solving problems that individual agents may face, e.g., occlusions and small sensing range. Prior methods usually separate the multi-agent fusion and multi-time fusion into two consecutive steps. In contrast, this paper proposes an efficient collaborative perception that aggregates the observations from different agents (space) and different times into a unified spatio-temporal space simultanesouly. The unified spatio-temporal space brings two benefits, i.e., efficient feature transmission and superior feature fusion."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.00359","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/2508.00359/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":"2508.00359","created_at":"2026-07-05T11:46:54.189072+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.00359v1","created_at":"2026-07-05T11:46:54.189072+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.00359","created_at":"2026-07-05T11:46:54.189072+00:00"},{"alias_kind":"pith_short_12","alias_value":"HLXTDB2MUHPH","created_at":"2026-07-05T11:46:54.189072+00:00"},{"alias_kind":"pith_short_16","alias_value":"HLXTDB2MUHPHWX4I","created_at":"2026-07-05T11:46:54.189072+00:00"},{"alias_kind":"pith_short_8","alias_value":"HLXTDB2M","created_at":"2026-07-05T11:46:54.189072+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/HLXTDB2MUHPHWX4IEQKZU7MSSU","json":"https://pith.science/pith/HLXTDB2MUHPHWX4IEQKZU7MSSU.json","graph_json":"https://pith.science/api/pith-number/HLXTDB2MUHPHWX4IEQKZU7MSSU/graph.json","events_json":"https://pith.science/api/pith-number/HLXTDB2MUHPHWX4IEQKZU7MSSU/events.json","paper":"https://pith.science/paper/HLXTDB2M"},"agent_actions":{"view_html":"https://pith.science/pith/HLXTDB2MUHPHWX4IEQKZU7MSSU","download_json":"https://pith.science/pith/HLXTDB2MUHPHWX4IEQKZU7MSSU.json","view_paper":"https://pith.science/paper/HLXTDB2M","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.00359&json=true","fetch_graph":"https://pith.science/api/pith-number/HLXTDB2MUHPHWX4IEQKZU7MSSU/graph.json","fetch_events":"https://pith.science/api/pith-number/HLXTDB2MUHPHWX4IEQKZU7MSSU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HLXTDB2MUHPHWX4IEQKZU7MSSU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HLXTDB2MUHPHWX4IEQKZU7MSSU/action/storage_attestation","attest_author":"https://pith.science/pith/HLXTDB2MUHPHWX4IEQKZU7MSSU/action/author_attestation","sign_citation":"https://pith.science/pith/HLXTDB2MUHPHWX4IEQKZU7MSSU/action/citation_signature","submit_replication":"https://pith.science/pith/HLXTDB2MUHPHWX4IEQKZU7MSSU/action/replication_record"}},"created_at":"2026-07-05T11:46:54.189072+00:00","updated_at":"2026-07-05T11:46:54.189072+00:00"}