{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:AVX2X2ZTGMH4WT3HNMPATY2TK3","short_pith_number":"pith:AVX2X2ZT","canonical_record":{"source":{"id":"2502.20607","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-28T00:12:35Z","cross_cats_sorted":[],"title_canon_sha256":"c6c48ee8ebe20f0b7a99d9f3e046e0c788f58160cfda9d417fa85c7facad078b","abstract_canon_sha256":"8ce12b9cb6e9e1cba094c1e2556dfe48e533f212a6f85709cf64735dee600820"},"schema_version":"1.0"},"canonical_sha256":"056fabeb33330fcb4f676b1e09e35356e2b78bd36e853fb30c3aca1e78b63ba0","source":{"kind":"arxiv","id":"2502.20607","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.20607","created_at":"2026-07-05T10:21:36Z"},{"alias_kind":"arxiv_version","alias_value":"2502.20607v1","created_at":"2026-07-05T10:21:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.20607","created_at":"2026-07-05T10:21:36Z"},{"alias_kind":"pith_short_12","alias_value":"AVX2X2ZTGMH4","created_at":"2026-07-05T10:21:36Z"},{"alias_kind":"pith_short_16","alias_value":"AVX2X2ZTGMH4WT3H","created_at":"2026-07-05T10:21:36Z"},{"alias_kind":"pith_short_8","alias_value":"AVX2X2ZT","created_at":"2026-07-05T10:21:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:AVX2X2ZTGMH4WT3HNMPATY2TK3","target":"record","payload":{"canonical_record":{"source":{"id":"2502.20607","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-28T00:12:35Z","cross_cats_sorted":[],"title_canon_sha256":"c6c48ee8ebe20f0b7a99d9f3e046e0c788f58160cfda9d417fa85c7facad078b","abstract_canon_sha256":"8ce12b9cb6e9e1cba094c1e2556dfe48e533f212a6f85709cf64735dee600820"},"schema_version":"1.0"},"canonical_sha256":"056fabeb33330fcb4f676b1e09e35356e2b78bd36e853fb30c3aca1e78b63ba0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:21:36.086039Z","signature_b64":"1gLh1/c1bApv550bQs4ADr6pOIPygHfeKyZgCmWl3ZiiDDTUnirn73j5wH8MCH+z6Kx4YPSffCZQ7B9gAzY2Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"056fabeb33330fcb4f676b1e09e35356e2b78bd36e853fb30c3aca1e78b63ba0","last_reissued_at":"2026-07-05T10:21:36.085522Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:21:36.085522Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.20607","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":"2026-07-05T10:21:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9P88ZZ+bA365TBPodzJ4FFmssWx0xwU7LtK5n3JRT1o8Su0fxQwpVLQfTF9ktkeuddRcn73GJIOBRjqjh7cRBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:21:49.711933Z"},"content_sha256":"bf9e152dce59f6f282434a61574079e4861009f96af1a81b45169d0723a78b5a","schema_version":"1.0","event_id":"sha256:bf9e152dce59f6f282434a61574079e4861009f96af1a81b45169d0723a78b5a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:AVX2X2ZTGMH4WT3HNMPATY2TK3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LV-DOT: LiDAR-visual dynamic obstacle detection and tracking for autonomous robot navigation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Hanyu Jin, Haoyu Shen, Kanlong Ye, Kenji Shimada, Xinming Han, Zhefan Xu","submitted_at":"2025-02-28T00:12:35Z","abstract_excerpt":"Accurate perception of dynamic obstacles is essential for autonomous robot navigation in indoor environments. Although sophisticated 3D object detection and tracking methods have been investigated and developed thoroughly in the fields of computer vision and autonomous driving, their demands on expensive and high-accuracy sensor setups and substantial computational resources from large neural networks make them unsuitable for indoor robotics. Recently, more lightweight perception algorithms leveraging onboard cameras or LiDAR sensors have emerged as promising alternatives. However, relying on "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.20607","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/2502.20607/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":"2026-07-05T10:21:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v0Um/5wsRCJeeBqZGqDg+17Zw2OXgM9grZECBU9nxRiodzLRYZuRG7qxzqedallNFBmadxzhO2rAFFw0+sg7DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:21:49.712918Z"},"content_sha256":"6dd471b90607749bdbba22f7ae26057f74224d55a4f46029db1a0e8a7df8b4d6","schema_version":"1.0","event_id":"sha256:6dd471b90607749bdbba22f7ae26057f74224d55a4f46029db1a0e8a7df8b4d6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AVX2X2ZTGMH4WT3HNMPATY2TK3/bundle.json","state_url":"https://pith.science/pith/AVX2X2ZTGMH4WT3HNMPATY2TK3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AVX2X2ZTGMH4WT3HNMPATY2TK3/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":"2026-08-08T09:21:49Z","links":{"resolver":"https://pith.science/pith/AVX2X2ZTGMH4WT3HNMPATY2TK3","bundle":"https://pith.science/pith/AVX2X2ZTGMH4WT3HNMPATY2TK3/bundle.json","state":"https://pith.science/pith/AVX2X2ZTGMH4WT3HNMPATY2TK3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AVX2X2ZTGMH4WT3HNMPATY2TK3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AVX2X2ZTGMH4WT3HNMPATY2TK3","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":"8ce12b9cb6e9e1cba094c1e2556dfe48e533f212a6f85709cf64735dee600820","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-28T00:12:35Z","title_canon_sha256":"c6c48ee8ebe20f0b7a99d9f3e046e0c788f58160cfda9d417fa85c7facad078b"},"schema_version":"1.0","source":{"id":"2502.20607","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.20607","created_at":"2026-07-05T10:21:36Z"},{"alias_kind":"arxiv_version","alias_value":"2502.20607v1","created_at":"2026-07-05T10:21:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.20607","created_at":"2026-07-05T10:21:36Z"},{"alias_kind":"pith_short_12","alias_value":"AVX2X2ZTGMH4","created_at":"2026-07-05T10:21:36Z"},{"alias_kind":"pith_short_16","alias_value":"AVX2X2ZTGMH4WT3H","created_at":"2026-07-05T10:21:36Z"},{"alias_kind":"pith_short_8","alias_value":"AVX2X2ZT","created_at":"2026-07-05T10:21:36Z"}],"graph_snapshots":[{"event_id":"sha256:6dd471b90607749bdbba22f7ae26057f74224d55a4f46029db1a0e8a7df8b4d6","target":"graph","created_at":"2026-07-05T10:21:36Z","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/2502.20607/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate perception of dynamic obstacles is essential for autonomous robot navigation in indoor environments. Although sophisticated 3D object detection and tracking methods have been investigated and developed thoroughly in the fields of computer vision and autonomous driving, their demands on expensive and high-accuracy sensor setups and substantial computational resources from large neural networks make them unsuitable for indoor robotics. Recently, more lightweight perception algorithms leveraging onboard cameras or LiDAR sensors have emerged as promising alternatives. However, relying on ","authors_text":"Hanyu Jin, Haoyu Shen, Kanlong Ye, Kenji Shimada, Xinming Han, Zhefan Xu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-28T00:12:35Z","title":"LV-DOT: LiDAR-visual dynamic obstacle detection and tracking for autonomous robot navigation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.20607","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:bf9e152dce59f6f282434a61574079e4861009f96af1a81b45169d0723a78b5a","target":"record","created_at":"2026-07-05T10:21:36Z","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":"8ce12b9cb6e9e1cba094c1e2556dfe48e533f212a6f85709cf64735dee600820","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-28T00:12:35Z","title_canon_sha256":"c6c48ee8ebe20f0b7a99d9f3e046e0c788f58160cfda9d417fa85c7facad078b"},"schema_version":"1.0","source":{"id":"2502.20607","kind":"arxiv","version":1}},"canonical_sha256":"056fabeb33330fcb4f676b1e09e35356e2b78bd36e853fb30c3aca1e78b63ba0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"056fabeb33330fcb4f676b1e09e35356e2b78bd36e853fb30c3aca1e78b63ba0","first_computed_at":"2026-07-05T10:21:36.085522Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:21:36.085522Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1gLh1/c1bApv550bQs4ADr6pOIPygHfeKyZgCmWl3ZiiDDTUnirn73j5wH8MCH+z6Kx4YPSffCZQ7B9gAzY2Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:21:36.086039Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.20607","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bf9e152dce59f6f282434a61574079e4861009f96af1a81b45169d0723a78b5a","sha256:6dd471b90607749bdbba22f7ae26057f74224d55a4f46029db1a0e8a7df8b4d6"],"state_sha256":"99fe499b767d60b8ab0290791c564bbbfc0a3a0f60009f51dba04cd565514335"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qSC/I4GaFM/QE6UOU6+xNh+uY4mz7feMWAJExsyaB6mW7q6hNih8t2I07tSdJFRwu+GsnL15/QF0yjo6UpDRBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T09:21:49.719415Z","bundle_sha256":"72b7a78e1a72f51f92171cdb4a08c7e61cb56644f576bd4575ed5310e3f1ebd3"}}