{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:WKS5EQVU6WRHA2M4XAWDT55EP3","short_pith_number":"pith:WKS5EQVU","canonical_record":{"source":{"id":"2112.02093","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-12-03T18:58:07Z","cross_cats_sorted":["cs.RO","stat.ML"],"title_canon_sha256":"87b110bb1cff2bffab01f61d2bf1783beac1cb0b4001480893a753d578de44d7","abstract_canon_sha256":"83ae642ffe422314fa70d2ee4383c9b78d9e22818674247495f7927464fcaecf"},"schema_version":"1.0"},"canonical_sha256":"b2a5d242b4f5a270699cb82c39f7a47ef9cef494e6076b4be8271c8ecb5acfcb","source":{"kind":"arxiv","id":"2112.02093","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.02093","created_at":"2026-07-05T03:37:35Z"},{"alias_kind":"arxiv_version","alias_value":"2112.02093v1","created_at":"2026-07-05T03:37:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.02093","created_at":"2026-07-05T03:37:35Z"},{"alias_kind":"pith_short_12","alias_value":"WKS5EQVU6WRH","created_at":"2026-07-05T03:37:35Z"},{"alias_kind":"pith_short_16","alias_value":"WKS5EQVU6WRHA2M4","created_at":"2026-07-05T03:37:35Z"},{"alias_kind":"pith_short_8","alias_value":"WKS5EQVU","created_at":"2026-07-05T03:37:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:WKS5EQVU6WRHA2M4XAWDT55EP3","target":"record","payload":{"canonical_record":{"source":{"id":"2112.02093","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-12-03T18:58:07Z","cross_cats_sorted":["cs.RO","stat.ML"],"title_canon_sha256":"87b110bb1cff2bffab01f61d2bf1783beac1cb0b4001480893a753d578de44d7","abstract_canon_sha256":"83ae642ffe422314fa70d2ee4383c9b78d9e22818674247495f7927464fcaecf"},"schema_version":"1.0"},"canonical_sha256":"b2a5d242b4f5a270699cb82c39f7a47ef9cef494e6076b4be8271c8ecb5acfcb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:37:35.609598Z","signature_b64":"XYPJYhhgyfo/tgTtmCEflyhRvSk+LX9eMP5gu7INB4el9Wilwxw9yKMBzFplIuTPuZrxgko9XU+2WK4GF6NSDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b2a5d242b4f5a270699cb82c39f7a47ef9cef494e6076b4be8271c8ecb5acfcb","last_reissued_at":"2026-07-05T03:37:35.609174Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:37:35.609174Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2112.02093","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":"2026-07-05T03:37:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/164oh6K6TAPVMhxaawo+D0Y07pq4sJ/LnAGYf7BuG8Jgue2QN04dNMSIuRt8HMzZUY6l8AHNgD3Vl8fiU5dAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T19:00:38.473756Z"},"content_sha256":"2de707be6a090c170f081b67280ae4a1a6a2f35505e977dbdf6d1aebe40b564b","schema_version":"1.0","event_id":"sha256:2de707be6a090c170f081b67280ae4a1a6a2f35505e977dbdf6d1aebe40b564b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:WKS5EQVU6WRHA2M4XAWDT55EP3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Causal-based Time Series Domain Generalization for Vehicle Intention Prediction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.RO","stat.ML"],"primary_cat":"cs.LG","authors_text":"Masayoshi Tomizuka, Wei Zhan, Xiaogang Jia, Yeping Hu","submitted_at":"2021-12-03T18:58:07Z","abstract_excerpt":"Accurately predicting possible behaviors of traffic participants is an essential capability for autonomous vehicles. Since autonomous vehicles need to navigate in dynamically changing environments, they are expected to make accurate predictions regardless of where they are and what driving circumstances they encountered. Therefore, generalization capability to unseen domains is crucial for prediction models when autonomous vehicles are deployed in the real world. In this paper, we aim to address the domain generalization problem for vehicle intention prediction tasks and a causal-based time se"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.02093","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/2112.02093/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":"2026-07-05T03:37:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Uogrni8qZj6DwVjma/FBsMI4NZHBbk3CQ+4vamzz0JoAyBnYOW47ymoO5gw+YT2bNU9Qds4eExxI+6azo8FVDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T19:00:38.474703Z"},"content_sha256":"b4af02c03e3cc5ef189f57f97dfb8f1c7bd962624f874170c93cfdd900bfafd2","schema_version":"1.0","event_id":"sha256:b4af02c03e3cc5ef189f57f97dfb8f1c7bd962624f874170c93cfdd900bfafd2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WKS5EQVU6WRHA2M4XAWDT55EP3/bundle.json","state_url":"https://pith.science/pith/WKS5EQVU6WRHA2M4XAWDT55EP3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WKS5EQVU6WRHA2M4XAWDT55EP3/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":"2026-08-08T19:00:38Z","links":{"resolver":"https://pith.science/pith/WKS5EQVU6WRHA2M4XAWDT55EP3","bundle":"https://pith.science/pith/WKS5EQVU6WRHA2M4XAWDT55EP3/bundle.json","state":"https://pith.science/pith/WKS5EQVU6WRHA2M4XAWDT55EP3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WKS5EQVU6WRHA2M4XAWDT55EP3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:WKS5EQVU6WRHA2M4XAWDT55EP3","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":"83ae642ffe422314fa70d2ee4383c9b78d9e22818674247495f7927464fcaecf","cross_cats_sorted":["cs.RO","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-12-03T18:58:07Z","title_canon_sha256":"87b110bb1cff2bffab01f61d2bf1783beac1cb0b4001480893a753d578de44d7"},"schema_version":"1.0","source":{"id":"2112.02093","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.02093","created_at":"2026-07-05T03:37:35Z"},{"alias_kind":"arxiv_version","alias_value":"2112.02093v1","created_at":"2026-07-05T03:37:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.02093","created_at":"2026-07-05T03:37:35Z"},{"alias_kind":"pith_short_12","alias_value":"WKS5EQVU6WRH","created_at":"2026-07-05T03:37:35Z"},{"alias_kind":"pith_short_16","alias_value":"WKS5EQVU6WRHA2M4","created_at":"2026-07-05T03:37:35Z"},{"alias_kind":"pith_short_8","alias_value":"WKS5EQVU","created_at":"2026-07-05T03:37:35Z"}],"graph_snapshots":[{"event_id":"sha256:b4af02c03e3cc5ef189f57f97dfb8f1c7bd962624f874170c93cfdd900bfafd2","target":"graph","created_at":"2026-07-05T03:37:35Z","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/2112.02093/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurately predicting possible behaviors of traffic participants is an essential capability for autonomous vehicles. Since autonomous vehicles need to navigate in dynamically changing environments, they are expected to make accurate predictions regardless of where they are and what driving circumstances they encountered. Therefore, generalization capability to unseen domains is crucial for prediction models when autonomous vehicles are deployed in the real world. In this paper, we aim to address the domain generalization problem for vehicle intention prediction tasks and a causal-based time se","authors_text":"Masayoshi Tomizuka, Wei Zhan, Xiaogang Jia, Yeping Hu","cross_cats":["cs.RO","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-12-03T18:58:07Z","title":"Causal-based Time Series Domain Generalization for Vehicle Intention Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.02093","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":"sha256:2de707be6a090c170f081b67280ae4a1a6a2f35505e977dbdf6d1aebe40b564b","target":"record","created_at":"2026-07-05T03:37:35Z","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":"83ae642ffe422314fa70d2ee4383c9b78d9e22818674247495f7927464fcaecf","cross_cats_sorted":["cs.RO","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-12-03T18:58:07Z","title_canon_sha256":"87b110bb1cff2bffab01f61d2bf1783beac1cb0b4001480893a753d578de44d7"},"schema_version":"1.0","source":{"id":"2112.02093","kind":"arxiv","version":1}},"canonical_sha256":"b2a5d242b4f5a270699cb82c39f7a47ef9cef494e6076b4be8271c8ecb5acfcb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2a5d242b4f5a270699cb82c39f7a47ef9cef494e6076b4be8271c8ecb5acfcb","first_computed_at":"2026-07-05T03:37:35.609174Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:37:35.609174Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XYPJYhhgyfo/tgTtmCEflyhRvSk+LX9eMP5gu7INB4el9Wilwxw9yKMBzFplIuTPuZrxgko9XU+2WK4GF6NSDA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:37:35.609598Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.02093","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2de707be6a090c170f081b67280ae4a1a6a2f35505e977dbdf6d1aebe40b564b","sha256:b4af02c03e3cc5ef189f57f97dfb8f1c7bd962624f874170c93cfdd900bfafd2"],"state_sha256":"eb77adcd7b62971e63858fd8dae2e122a226eea51e74a34f39b4db0778da98ce"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XnMC1hqa2nE95GDc6AVfzgZYOuU+o2b2nr9L1YrPZl7uAoeGClujohSwujv+3kOu9D4S8LU0RyT3MNdKIKH6Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T19:00:38.480266Z","bundle_sha256":"a72743650a9c1c62e88be0d96d214eed37fac952d41a5e10aa896587608cacad"}}