{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:5PK3YQ2OQQXUFA36CI4PPUO5SI","short_pith_number":"pith:5PK3YQ2O","canonical_record":{"source":{"id":"2507.03441","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-04T09:57:28Z","cross_cats_sorted":[],"title_canon_sha256":"3b0d8a3fd7a8c073a8c51c7531240a00483641055469b8b589a424a881664b1e","abstract_canon_sha256":"1fff800951afa93bd0b96c817e5a9c70d1809afec5d0d80f21ac0b04de512507"},"schema_version":"1.0"},"canonical_sha256":"ebd5bc434e842f42837e1238f7d1dd923418ee540c9fe92959d0e7928f9939a8","source":{"kind":"arxiv","id":"2507.03441","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.03441","created_at":"2026-07-05T11:31:59Z"},{"alias_kind":"arxiv_version","alias_value":"2507.03441v1","created_at":"2026-07-05T11:31:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.03441","created_at":"2026-07-05T11:31:59Z"},{"alias_kind":"pith_short_12","alias_value":"5PK3YQ2OQQXU","created_at":"2026-07-05T11:31:59Z"},{"alias_kind":"pith_short_16","alias_value":"5PK3YQ2OQQXUFA36","created_at":"2026-07-05T11:31:59Z"},{"alias_kind":"pith_short_8","alias_value":"5PK3YQ2O","created_at":"2026-07-05T11:31:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:5PK3YQ2OQQXUFA36CI4PPUO5SI","target":"record","payload":{"canonical_record":{"source":{"id":"2507.03441","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-04T09:57:28Z","cross_cats_sorted":[],"title_canon_sha256":"3b0d8a3fd7a8c073a8c51c7531240a00483641055469b8b589a424a881664b1e","abstract_canon_sha256":"1fff800951afa93bd0b96c817e5a9c70d1809afec5d0d80f21ac0b04de512507"},"schema_version":"1.0"},"canonical_sha256":"ebd5bc434e842f42837e1238f7d1dd923418ee540c9fe92959d0e7928f9939a8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:31:59.621283Z","signature_b64":"E4Tt3SbIvPr4lMVDbh1Nqi4Y/IU7Fd3+H5iDYWG2vHqb1tyDJ3N7dnyxN3h3KF96WZmqsmbu7YhxS1x2nbWKBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ebd5bc434e842f42837e1238f7d1dd923418ee540c9fe92959d0e7928f9939a8","last_reissued_at":"2026-07-05T11:31:59.620838Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:31:59.620838Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.03441","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":"2026-07-05T11:31:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r3UAOAZohHVsqKlKSGqgFwNJ+pwlkRtJ8AlFJ9BJcTcEwaBWDUTujrT5lqeQYxZrEZ5BSTFyAG3mDBPg09pmDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T22:30:56.715340Z"},"content_sha256":"f9ee7c044393c55fd28eef7edb5d7abe930ef32ce9090e1fa06be4c63468063b","schema_version":"1.0","event_id":"sha256:f9ee7c044393c55fd28eef7edb5d7abe930ef32ce9090e1fa06be4c63468063b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:5PK3YQ2OQQXUFA36CI4PPUO5SI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Radar Tracker: Moving Instance Tracking in Sparse and Noisy Radar Point Clouds","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cyrill Stachniss, Daniel Casado Herraez, Jens Behley, Matthias Zeller, Michael Heidingsfeld","submitted_at":"2025-07-04T09:57:28Z","abstract_excerpt":"Robots and autonomous vehicles should be aware of what happens in their surroundings. The segmentation and tracking of moving objects are essential for reliable path planning, including collision avoidance. We investigate this estimation task for vehicles using radar sensing. We address moving instance tracking in sparse radar point clouds to enhance scene interpretation. We propose a learning-based radar tracker incorporating temporal offset predictions to enable direct center-based association and enhance segmentation performance by including additional motion cues. We implement attention-ba"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.03441","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/2507.03441/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":"2026-07-05T11:31:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aqxWtzIi8dBlngX0afcaHBBOiPKxIbRsqIowEaTjKGoIEGIe4tcz/M2vnKaCWCIdVsJTc90xQfYDvit0GaM8CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T22:30:56.716319Z"},"content_sha256":"32586d294afa0c5749e56dcb5070bef5157eb5688d8663d494aa9d3b21bdd8fc","schema_version":"1.0","event_id":"sha256:32586d294afa0c5749e56dcb5070bef5157eb5688d8663d494aa9d3b21bdd8fc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5PK3YQ2OQQXUFA36CI4PPUO5SI/bundle.json","state_url":"https://pith.science/pith/5PK3YQ2OQQXUFA36CI4PPUO5SI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5PK3YQ2OQQXUFA36CI4PPUO5SI/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":"2026-08-13T22:30:56Z","links":{"resolver":"https://pith.science/pith/5PK3YQ2OQQXUFA36CI4PPUO5SI","bundle":"https://pith.science/pith/5PK3YQ2OQQXUFA36CI4PPUO5SI/bundle.json","state":"https://pith.science/pith/5PK3YQ2OQQXUFA36CI4PPUO5SI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5PK3YQ2OQQXUFA36CI4PPUO5SI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5PK3YQ2OQQXUFA36CI4PPUO5SI","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":"1fff800951afa93bd0b96c817e5a9c70d1809afec5d0d80f21ac0b04de512507","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-04T09:57:28Z","title_canon_sha256":"3b0d8a3fd7a8c073a8c51c7531240a00483641055469b8b589a424a881664b1e"},"schema_version":"1.0","source":{"id":"2507.03441","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.03441","created_at":"2026-07-05T11:31:59Z"},{"alias_kind":"arxiv_version","alias_value":"2507.03441v1","created_at":"2026-07-05T11:31:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.03441","created_at":"2026-07-05T11:31:59Z"},{"alias_kind":"pith_short_12","alias_value":"5PK3YQ2OQQXU","created_at":"2026-07-05T11:31:59Z"},{"alias_kind":"pith_short_16","alias_value":"5PK3YQ2OQQXUFA36","created_at":"2026-07-05T11:31:59Z"},{"alias_kind":"pith_short_8","alias_value":"5PK3YQ2O","created_at":"2026-07-05T11:31:59Z"}],"graph_snapshots":[{"event_id":"sha256:32586d294afa0c5749e56dcb5070bef5157eb5688d8663d494aa9d3b21bdd8fc","target":"graph","created_at":"2026-07-05T11:31:59Z","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/2507.03441/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Robots and autonomous vehicles should be aware of what happens in their surroundings. The segmentation and tracking of moving objects are essential for reliable path planning, including collision avoidance. We investigate this estimation task for vehicles using radar sensing. We address moving instance tracking in sparse radar point clouds to enhance scene interpretation. We propose a learning-based radar tracker incorporating temporal offset predictions to enable direct center-based association and enhance segmentation performance by including additional motion cues. We implement attention-ba","authors_text":"Cyrill Stachniss, Daniel Casado Herraez, Jens Behley, Matthias Zeller, Michael Heidingsfeld","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-04T09:57:28Z","title":"Radar Tracker: Moving Instance Tracking in Sparse and Noisy Radar Point Clouds"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.03441","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:f9ee7c044393c55fd28eef7edb5d7abe930ef32ce9090e1fa06be4c63468063b","target":"record","created_at":"2026-07-05T11:31:59Z","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":"1fff800951afa93bd0b96c817e5a9c70d1809afec5d0d80f21ac0b04de512507","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-04T09:57:28Z","title_canon_sha256":"3b0d8a3fd7a8c073a8c51c7531240a00483641055469b8b589a424a881664b1e"},"schema_version":"1.0","source":{"id":"2507.03441","kind":"arxiv","version":1}},"canonical_sha256":"ebd5bc434e842f42837e1238f7d1dd923418ee540c9fe92959d0e7928f9939a8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ebd5bc434e842f42837e1238f7d1dd923418ee540c9fe92959d0e7928f9939a8","first_computed_at":"2026-07-05T11:31:59.620838Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:31:59.620838Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"E4Tt3SbIvPr4lMVDbh1Nqi4Y/IU7Fd3+H5iDYWG2vHqb1tyDJ3N7dnyxN3h3KF96WZmqsmbu7YhxS1x2nbWKBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:31:59.621283Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.03441","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f9ee7c044393c55fd28eef7edb5d7abe930ef32ce9090e1fa06be4c63468063b","sha256:32586d294afa0c5749e56dcb5070bef5157eb5688d8663d494aa9d3b21bdd8fc"],"state_sha256":"37028b07334abf6903b400389e0dce05b0047f801917ef802c7082446ccaf7cf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UMqCHdRBW4zQG30TH2IAFnBuTeDaOvewuHADDl3DXzJUL0SDI2npBYR5ycOXe5KKZ8off94rphrJ94Klbcq1DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T22:30:56.723504Z","bundle_sha256":"e922b9563b2cd3a3a11f2efe3d3413ddaf332594472f0e98d15752b35fcad839"}}