{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:AA5CNZMMSWSWS5XBNZGAIK3DOH","short_pith_number":"pith:AA5CNZMM","canonical_record":{"source":{"id":"2607.06319","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-07T14:19:22Z","cross_cats_sorted":[],"title_canon_sha256":"375ffd18ee86a49e7d693de2736a946b15ee07af0c6c8b4018413ab920c48291","abstract_canon_sha256":"ed1571116a00a3198f8fdb43ae87c9edf1cda09a6e08c7098a8afd2f54755f57"},"schema_version":"1.0"},"canonical_sha256":"003a26e58c95a56976e16e4c042b6371c28b3c2cc94594d16d35c1208f7ce867","source":{"kind":"arxiv","id":"2607.06319","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.06319","created_at":"2026-07-08T01:19:21Z"},{"alias_kind":"arxiv_version","alias_value":"2607.06319v1","created_at":"2026-07-08T01:19:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.06319","created_at":"2026-07-08T01:19:21Z"},{"alias_kind":"pith_short_12","alias_value":"AA5CNZMMSWSW","created_at":"2026-07-08T01:19:21Z"},{"alias_kind":"pith_short_16","alias_value":"AA5CNZMMSWSWS5XB","created_at":"2026-07-08T01:19:21Z"},{"alias_kind":"pith_short_8","alias_value":"AA5CNZMM","created_at":"2026-07-08T01:19:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:AA5CNZMMSWSWS5XBNZGAIK3DOH","target":"record","payload":{"canonical_record":{"source":{"id":"2607.06319","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-07T14:19:22Z","cross_cats_sorted":[],"title_canon_sha256":"375ffd18ee86a49e7d693de2736a946b15ee07af0c6c8b4018413ab920c48291","abstract_canon_sha256":"ed1571116a00a3198f8fdb43ae87c9edf1cda09a6e08c7098a8afd2f54755f57"},"schema_version":"1.0"},"canonical_sha256":"003a26e58c95a56976e16e4c042b6371c28b3c2cc94594d16d35c1208f7ce867","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-08T01:19:21.273195Z","signature_b64":"XH+clWYKmOVfAcuQbiVgMPfgNXrr98m11zGA/XBNByR14XGqHreS0GPe380d0w6/RNkmuwJbfBOX6bd5jNllAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"003a26e58c95a56976e16e4c042b6371c28b3c2cc94594d16d35c1208f7ce867","last_reissued_at":"2026-07-08T01:19:21.272766Z","signature_status":"signed_v1","first_computed_at":"2026-07-08T01:19:21.272766Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.06319","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":"2026-07-08T01:19:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uw6YZsOWh5KN48uWfGth1NW1hcOjIhO6IBSq4zyf5l+fw2wrhSSGM0EDl5IUUJFLgS314JwwGVPEJ6TDAjR+AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T22:38:18.488820Z"},"content_sha256":"ec6324985da0814aedf3a74bd041fd1bdd00a2f7ed3b7df509e929ec989edf72","schema_version":"1.0","event_id":"sha256:ec6324985da0814aedf3a74bd041fd1bdd00a2f7ed3b7df509e929ec989edf72"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:AA5CNZMMSWSWS5XBNZGAIK3DOH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Synthetic-to-Real Translation for Class-Agnostic Motion Prediction","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenjing Ding, Dongliang Wang, Guosheng Lin, Hongwei Fan, Kewei Wang, Ruibo Li, Xiao Song, Xingyi Li, Yizheng Wu, Zhe Wang, Zhiguo Cao","submitted_at":"2026-07-07T14:19:22Z","abstract_excerpt":"Motion understanding is critical for ensuring safety and robustness in autonomous driving systems, driving increasing interest in motion prediction. A key challenge in this domain is the high cost associated with acquiring real-world motion labels. It is therefore ideal if we could transfer motion knowledge from synthetic data to real data. In this context, we explore the potential of synthetic-to-real translation for motion prediction (SRMP). However, the most used naive motion regression methods are notably sensitive to the synthetic-to-real domain shift, resulting in unreliable knowledge tr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.06319","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/2607.06319/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":"2026-07-08T01:19:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JlyQJyDYiz1ZwtCaUudgClOJb5I1YAU/CZy5zi/h3DdDxjCotwrsH8JZr7Lja9qLcZIOp8kVfKJgBBbHmLAbAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T22:38:18.489471Z"},"content_sha256":"a8146aa53992d68fda79ab02d46f24f605c53c5ce17fc084a65aab3954f3cf36","schema_version":"1.0","event_id":"sha256:a8146aa53992d68fda79ab02d46f24f605c53c5ce17fc084a65aab3954f3cf36"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AA5CNZMMSWSWS5XBNZGAIK3DOH/bundle.json","state_url":"https://pith.science/pith/AA5CNZMMSWSWS5XBNZGAIK3DOH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AA5CNZMMSWSWS5XBNZGAIK3DOH/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":"2026-08-14T22:38:18Z","links":{"resolver":"https://pith.science/pith/AA5CNZMMSWSWS5XBNZGAIK3DOH","bundle":"https://pith.science/pith/AA5CNZMMSWSWS5XBNZGAIK3DOH/bundle.json","state":"https://pith.science/pith/AA5CNZMMSWSWS5XBNZGAIK3DOH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AA5CNZMMSWSWS5XBNZGAIK3DOH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:AA5CNZMMSWSWS5XBNZGAIK3DOH","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":"ed1571116a00a3198f8fdb43ae87c9edf1cda09a6e08c7098a8afd2f54755f57","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-07T14:19:22Z","title_canon_sha256":"375ffd18ee86a49e7d693de2736a946b15ee07af0c6c8b4018413ab920c48291"},"schema_version":"1.0","source":{"id":"2607.06319","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.06319","created_at":"2026-07-08T01:19:21Z"},{"alias_kind":"arxiv_version","alias_value":"2607.06319v1","created_at":"2026-07-08T01:19:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.06319","created_at":"2026-07-08T01:19:21Z"},{"alias_kind":"pith_short_12","alias_value":"AA5CNZMMSWSW","created_at":"2026-07-08T01:19:21Z"},{"alias_kind":"pith_short_16","alias_value":"AA5CNZMMSWSWS5XB","created_at":"2026-07-08T01:19:21Z"},{"alias_kind":"pith_short_8","alias_value":"AA5CNZMM","created_at":"2026-07-08T01:19:21Z"}],"graph_snapshots":[{"event_id":"sha256:a8146aa53992d68fda79ab02d46f24f605c53c5ce17fc084a65aab3954f3cf36","target":"graph","created_at":"2026-07-08T01:19:21Z","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/2607.06319/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Motion understanding is critical for ensuring safety and robustness in autonomous driving systems, driving increasing interest in motion prediction. A key challenge in this domain is the high cost associated with acquiring real-world motion labels. It is therefore ideal if we could transfer motion knowledge from synthetic data to real data. In this context, we explore the potential of synthetic-to-real translation for motion prediction (SRMP). However, the most used naive motion regression methods are notably sensitive to the synthetic-to-real domain shift, resulting in unreliable knowledge tr","authors_text":"Chenjing Ding, Dongliang Wang, Guosheng Lin, Hongwei Fan, Kewei Wang, Ruibo Li, Xiao Song, Xingyi Li, Yizheng Wu, Zhe Wang, Zhiguo Cao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-07T14:19:22Z","title":"Synthetic-to-Real Translation for Class-Agnostic Motion Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.06319","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:ec6324985da0814aedf3a74bd041fd1bdd00a2f7ed3b7df509e929ec989edf72","target":"record","created_at":"2026-07-08T01:19:21Z","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":"ed1571116a00a3198f8fdb43ae87c9edf1cda09a6e08c7098a8afd2f54755f57","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-07T14:19:22Z","title_canon_sha256":"375ffd18ee86a49e7d693de2736a946b15ee07af0c6c8b4018413ab920c48291"},"schema_version":"1.0","source":{"id":"2607.06319","kind":"arxiv","version":1}},"canonical_sha256":"003a26e58c95a56976e16e4c042b6371c28b3c2cc94594d16d35c1208f7ce867","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"003a26e58c95a56976e16e4c042b6371c28b3c2cc94594d16d35c1208f7ce867","first_computed_at":"2026-07-08T01:19:21.272766Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-08T01:19:21.272766Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XH+clWYKmOVfAcuQbiVgMPfgNXrr98m11zGA/XBNByR14XGqHreS0GPe380d0w6/RNkmuwJbfBOX6bd5jNllAg==","signature_status":"signed_v1","signed_at":"2026-07-08T01:19:21.273195Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.06319","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ec6324985da0814aedf3a74bd041fd1bdd00a2f7ed3b7df509e929ec989edf72","sha256:a8146aa53992d68fda79ab02d46f24f605c53c5ce17fc084a65aab3954f3cf36"],"state_sha256":"e0325da1ca587e378dfd695cab00e1d3609c1cec3314b0fac0aaff63f88fe68c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TAds4eyV7u+ICB7lfxx5tzmcwsCZEgZZRwgbgQnkC822pkM/p2d9Vd/XvzgppgNxlvrjwRbqpz++Bk8yne3UDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T22:38:18.497159Z","bundle_sha256":"3736743c5108505f850c02a7ed3a44edb880d90530c4dba8ba1e5c6cc1f05a66"}}