{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:V7TFOQCPCKXKH6AMVYDKBJFTGN","short_pith_number":"pith:V7TFOQCP","canonical_record":{"source":{"id":"2303.06935","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-03-13T09:03:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b006fcf69cb75caacc388b20a2cbbffc26845aaf372355c6ff1948b1ae6eedc9","abstract_canon_sha256":"be75cd3c58bfa3be501cfd733bd2d79655670b1da58e247736a9f775ab1b9169"},"schema_version":"1.0"},"canonical_sha256":"afe657404f12aea3f80cae06a0a4b33340b93c788808c2e6b4afdd955a660bfd","source":{"kind":"arxiv","id":"2303.06935","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.06935","created_at":"2026-07-05T05:50:24Z"},{"alias_kind":"arxiv_version","alias_value":"2303.06935v1","created_at":"2026-07-05T05:50:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.06935","created_at":"2026-07-05T05:50:24Z"},{"alias_kind":"pith_short_12","alias_value":"V7TFOQCPCKXK","created_at":"2026-07-05T05:50:24Z"},{"alias_kind":"pith_short_16","alias_value":"V7TFOQCPCKXKH6AM","created_at":"2026-07-05T05:50:24Z"},{"alias_kind":"pith_short_8","alias_value":"V7TFOQCP","created_at":"2026-07-05T05:50:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:V7TFOQCPCKXKH6AMVYDKBJFTGN","target":"record","payload":{"canonical_record":{"source":{"id":"2303.06935","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-03-13T09:03:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b006fcf69cb75caacc388b20a2cbbffc26845aaf372355c6ff1948b1ae6eedc9","abstract_canon_sha256":"be75cd3c58bfa3be501cfd733bd2d79655670b1da58e247736a9f775ab1b9169"},"schema_version":"1.0"},"canonical_sha256":"afe657404f12aea3f80cae06a0a4b33340b93c788808c2e6b4afdd955a660bfd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:50:24.688465Z","signature_b64":"lNu1F1X90R1ksEXw8NRCO5hoGI7lVxzwK1YzVd21UycbSVaIZR4kvEuS81UFZouTVF0EdMp/H3XmlhUiU9b7Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"afe657404f12aea3f80cae06a0a4b33340b93c788808c2e6b4afdd955a660bfd","last_reissued_at":"2026-07-05T05:50:24.688036Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:50:24.688036Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.06935","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":"2026-07-05T05:50:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3yN2Q/xEzi6HE6yRX4q+g1Wbk8j8bX+MXECkSefjGToWFvjPHJf1BaEJtBQv3Ssz0xqVrZWkJ6Jz5er+kR5aAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T14:15:06.536193Z"},"content_sha256":"500890584798159bea1026bbb79c65d348c8e2766cce075dc5e6cf715030e644","schema_version":"1.0","event_id":"sha256:500890584798159bea1026bbb79c65d348c8e2766cce075dc5e6cf715030e644"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:V7TFOQCPCKXKH6AMVYDKBJFTGN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Importance Filtering with Risk Models for Complex Driving Situations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Benedict Flade, Julian Eggert, Malte Probst, Raphael Wenzel, Tim Puphal","submitted_at":"2023-03-13T09:03:10Z","abstract_excerpt":"Self-driving cars face complex driving situations with a large amount of agents when moving in crowded cities. However, some of the agents are actually not influencing the behavior of the self-driving car. Filtering out unimportant agents would inherently simplify the behavior or motion planning task for the system. The planning system can then focus on fewer agents to find optimal behavior solutions for the ego~agent. This is helpful especially in terms of computational efficiency. In this paper, therefore, the research topic of importance filtering with driving risk models is introduced. We "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.06935","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/2303.06935/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":"2026-07-05T05:50:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a/xyd3fZjkUiLvutNcZvYLx8DQTV0SBFDsQbDBNxx2ffUD3EaTfqvzOD7w1ExSmokj5aIM2EUdXRvx1Z/uzKCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T14:15:06.537043Z"},"content_sha256":"30a415a01a008efbfd6b11b8a25838bde2ccd682b78db2f858ed39130532868b","schema_version":"1.0","event_id":"sha256:30a415a01a008efbfd6b11b8a25838bde2ccd682b78db2f858ed39130532868b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V7TFOQCPCKXKH6AMVYDKBJFTGN/bundle.json","state_url":"https://pith.science/pith/V7TFOQCPCKXKH6AMVYDKBJFTGN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V7TFOQCPCKXKH6AMVYDKBJFTGN/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":"2026-08-18T14:15:06Z","links":{"resolver":"https://pith.science/pith/V7TFOQCPCKXKH6AMVYDKBJFTGN","bundle":"https://pith.science/pith/V7TFOQCPCKXKH6AMVYDKBJFTGN/bundle.json","state":"https://pith.science/pith/V7TFOQCPCKXKH6AMVYDKBJFTGN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V7TFOQCPCKXKH6AMVYDKBJFTGN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:V7TFOQCPCKXKH6AMVYDKBJFTGN","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":"be75cd3c58bfa3be501cfd733bd2d79655670b1da58e247736a9f775ab1b9169","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-03-13T09:03:10Z","title_canon_sha256":"b006fcf69cb75caacc388b20a2cbbffc26845aaf372355c6ff1948b1ae6eedc9"},"schema_version":"1.0","source":{"id":"2303.06935","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.06935","created_at":"2026-07-05T05:50:24Z"},{"alias_kind":"arxiv_version","alias_value":"2303.06935v1","created_at":"2026-07-05T05:50:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.06935","created_at":"2026-07-05T05:50:24Z"},{"alias_kind":"pith_short_12","alias_value":"V7TFOQCPCKXK","created_at":"2026-07-05T05:50:24Z"},{"alias_kind":"pith_short_16","alias_value":"V7TFOQCPCKXKH6AM","created_at":"2026-07-05T05:50:24Z"},{"alias_kind":"pith_short_8","alias_value":"V7TFOQCP","created_at":"2026-07-05T05:50:24Z"}],"graph_snapshots":[{"event_id":"sha256:30a415a01a008efbfd6b11b8a25838bde2ccd682b78db2f858ed39130532868b","target":"graph","created_at":"2026-07-05T05:50:24Z","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/2303.06935/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-driving cars face complex driving situations with a large amount of agents when moving in crowded cities. However, some of the agents are actually not influencing the behavior of the self-driving car. Filtering out unimportant agents would inherently simplify the behavior or motion planning task for the system. The planning system can then focus on fewer agents to find optimal behavior solutions for the ego~agent. This is helpful especially in terms of computational efficiency. In this paper, therefore, the research topic of importance filtering with driving risk models is introduced. We ","authors_text":"Benedict Flade, Julian Eggert, Malte Probst, Raphael Wenzel, Tim Puphal","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-03-13T09:03:10Z","title":"Importance Filtering with Risk Models for Complex Driving Situations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.06935","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":"sha256:500890584798159bea1026bbb79c65d348c8e2766cce075dc5e6cf715030e644","target":"record","created_at":"2026-07-05T05:50:24Z","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":"be75cd3c58bfa3be501cfd733bd2d79655670b1da58e247736a9f775ab1b9169","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2023-03-13T09:03:10Z","title_canon_sha256":"b006fcf69cb75caacc388b20a2cbbffc26845aaf372355c6ff1948b1ae6eedc9"},"schema_version":"1.0","source":{"id":"2303.06935","kind":"arxiv","version":1}},"canonical_sha256":"afe657404f12aea3f80cae06a0a4b33340b93c788808c2e6b4afdd955a660bfd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"afe657404f12aea3f80cae06a0a4b33340b93c788808c2e6b4afdd955a660bfd","first_computed_at":"2026-07-05T05:50:24.688036Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:50:24.688036Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lNu1F1X90R1ksEXw8NRCO5hoGI7lVxzwK1YzVd21UycbSVaIZR4kvEuS81UFZouTVF0EdMp/H3XmlhUiU9b7Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:50:24.688465Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.06935","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:500890584798159bea1026bbb79c65d348c8e2766cce075dc5e6cf715030e644","sha256:30a415a01a008efbfd6b11b8a25838bde2ccd682b78db2f858ed39130532868b"],"state_sha256":"e93c65fda54574e841a24125a46bc0215d077778265326517c07de5c269239a4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5FE5zYsWWYyYqHoW1UC+ewb6HVwEqQS5NFShXHPpI+iZXUjomcOmC8BJ9EOvsNd6mT90ahr5L0RuKB0NpxrjCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T14:15:06.545491Z","bundle_sha256":"b668a699b1816e55fc0995938e08b56908ee1625e4ae99654707c974a22ceba0"}}