{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:4RZY5KFY42EUL32FTWAL6Y663X","short_pith_number":"pith:4RZY5KFY","canonical_record":{"source":{"id":"2507.20224","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-27T11:09:27Z","cross_cats_sorted":[],"title_canon_sha256":"89e7c51a52d405f86f4ee6b751e5996cb186da2f0bcd41f0b093b9f91bcf6096","abstract_canon_sha256":"17e9dfa11b4b98ce70da43d4912ba8e429d261daf4f648aac7d8133b5538f11c"},"schema_version":"1.0"},"canonical_sha256":"e4738ea8b8e68945ef459d80bf63deddcad1eb681aa0aca963b757922d9116c0","source":{"kind":"arxiv","id":"2507.20224","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.20224","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"arxiv_version","alias_value":"2507.20224v1","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.20224","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"pith_short_12","alias_value":"4RZY5KFY42EU","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"pith_short_16","alias_value":"4RZY5KFY42EUL32F","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"pith_short_8","alias_value":"4RZY5KFY","created_at":"2026-07-05T11:44:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:4RZY5KFY42EUL32FTWAL6Y663X","target":"record","payload":{"canonical_record":{"source":{"id":"2507.20224","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-27T11:09:27Z","cross_cats_sorted":[],"title_canon_sha256":"89e7c51a52d405f86f4ee6b751e5996cb186da2f0bcd41f0b093b9f91bcf6096","abstract_canon_sha256":"17e9dfa11b4b98ce70da43d4912ba8e429d261daf4f648aac7d8133b5538f11c"},"schema_version":"1.0"},"canonical_sha256":"e4738ea8b8e68945ef459d80bf63deddcad1eb681aa0aca963b757922d9116c0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:44:15.485339Z","signature_b64":"/NZiZt0dH5icPrTF2DfJ5PlKoFJmE3CxZz6f3knQY+xD48eco/F0P/DcuuuAbPJbOMZ0W9yvP/nlorXvuLCjAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e4738ea8b8e68945ef459d80bf63deddcad1eb681aa0aca963b757922d9116c0","last_reissued_at":"2026-07-05T11:44:15.484888Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:44:15.484888Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.20224","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":"2026-07-05T11:44:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oJKylmaeuiryH9NrzCuDqx7tYZEwcJdGbSA1nAtUPjxTW/lhE2Vz6sBiCABIgTLpn4ROMzKBpfx96haPgpsxDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T11:30:59.721739Z"},"content_sha256":"06f91f6082d74f575979b0f7105aa493da5392858080bf78928706f0127f2ecd","schema_version":"1.0","event_id":"sha256:06f91f6082d74f575979b0f7105aa493da5392858080bf78928706f0127f2ecd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:4RZY5KFY42EUL32FTWAL6Y663X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MambaMap: Online Vectorized HD Map Construction using State Space Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jianke Zhu, Junbo Chen, Ruizi Yang, Xiaolu Liu","submitted_at":"2025-07-27T11:09:27Z","abstract_excerpt":"High-definition (HD) maps are essential for autonomous driving, as they provide precise road information for downstream tasks. Recent advances highlight the potential of temporal modeling in addressing challenges like occlusions and extended perception range. However, existing methods either fail to fully exploit temporal information or incur substantial computational overhead in handling extended sequences. To tackle these challenges, we propose MambaMap, a novel framework that efficiently fuses long-range temporal features in the state space to construct online vectorized HD maps. Specifical"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.20224","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/2507.20224/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":"2026-07-05T11:44:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aspePyLasulR3H5EdoDrv/5fLrfFOIquASraxA/pdkI5sBdcMTZShebamArNJinMacyBlzinb4QmfPrHTkYMDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T11:30:59.722260Z"},"content_sha256":"514624e0964c855eb993b0fe9aa63e9b5d00d8affe640b073dca0ae55420db8a","schema_version":"1.0","event_id":"sha256:514624e0964c855eb993b0fe9aa63e9b5d00d8affe640b073dca0ae55420db8a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4RZY5KFY42EUL32FTWAL6Y663X/bundle.json","state_url":"https://pith.science/pith/4RZY5KFY42EUL32FTWAL6Y663X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4RZY5KFY42EUL32FTWAL6Y663X/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":"2026-08-15T11:30:59Z","links":{"resolver":"https://pith.science/pith/4RZY5KFY42EUL32FTWAL6Y663X","bundle":"https://pith.science/pith/4RZY5KFY42EUL32FTWAL6Y663X/bundle.json","state":"https://pith.science/pith/4RZY5KFY42EUL32FTWAL6Y663X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4RZY5KFY42EUL32FTWAL6Y663X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4RZY5KFY42EUL32FTWAL6Y663X","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":"17e9dfa11b4b98ce70da43d4912ba8e429d261daf4f648aac7d8133b5538f11c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-27T11:09:27Z","title_canon_sha256":"89e7c51a52d405f86f4ee6b751e5996cb186da2f0bcd41f0b093b9f91bcf6096"},"schema_version":"1.0","source":{"id":"2507.20224","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.20224","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"arxiv_version","alias_value":"2507.20224v1","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.20224","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"pith_short_12","alias_value":"4RZY5KFY42EU","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"pith_short_16","alias_value":"4RZY5KFY42EUL32F","created_at":"2026-07-05T11:44:15Z"},{"alias_kind":"pith_short_8","alias_value":"4RZY5KFY","created_at":"2026-07-05T11:44:15Z"}],"graph_snapshots":[{"event_id":"sha256:514624e0964c855eb993b0fe9aa63e9b5d00d8affe640b073dca0ae55420db8a","target":"graph","created_at":"2026-07-05T11:44:15Z","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/2507.20224/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High-definition (HD) maps are essential for autonomous driving, as they provide precise road information for downstream tasks. Recent advances highlight the potential of temporal modeling in addressing challenges like occlusions and extended perception range. However, existing methods either fail to fully exploit temporal information or incur substantial computational overhead in handling extended sequences. To tackle these challenges, we propose MambaMap, a novel framework that efficiently fuses long-range temporal features in the state space to construct online vectorized HD maps. Specifical","authors_text":"Jianke Zhu, Junbo Chen, Ruizi Yang, Xiaolu Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-27T11:09:27Z","title":"MambaMap: Online Vectorized HD Map Construction using State Space Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.20224","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":"sha256:06f91f6082d74f575979b0f7105aa493da5392858080bf78928706f0127f2ecd","target":"record","created_at":"2026-07-05T11:44:15Z","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":"17e9dfa11b4b98ce70da43d4912ba8e429d261daf4f648aac7d8133b5538f11c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-27T11:09:27Z","title_canon_sha256":"89e7c51a52d405f86f4ee6b751e5996cb186da2f0bcd41f0b093b9f91bcf6096"},"schema_version":"1.0","source":{"id":"2507.20224","kind":"arxiv","version":1}},"canonical_sha256":"e4738ea8b8e68945ef459d80bf63deddcad1eb681aa0aca963b757922d9116c0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e4738ea8b8e68945ef459d80bf63deddcad1eb681aa0aca963b757922d9116c0","first_computed_at":"2026-07-05T11:44:15.484888Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:44:15.484888Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/NZiZt0dH5icPrTF2DfJ5PlKoFJmE3CxZz6f3knQY+xD48eco/F0P/DcuuuAbPJbOMZ0W9yvP/nlorXvuLCjAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:44:15.485339Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.20224","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:06f91f6082d74f575979b0f7105aa493da5392858080bf78928706f0127f2ecd","sha256:514624e0964c855eb993b0fe9aa63e9b5d00d8affe640b073dca0ae55420db8a"],"state_sha256":"2478b58992c81f1129f545942b6155ba7fb9f3dc2e869beb15525040f803222c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sGo50XEXDWtJQOGVENx2vQdAs5gnJVlRfB3YTP2SbQ2FbbxsYiWbNcUHS8KmteA/3zESWLtKtlJnqTrQ1qY1Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T11:30:59.725848Z","bundle_sha256":"06a99f56695150e5458a146281649ce037acbd709fc16123672305547e50b7a1"}}