{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:VTSGF5ZY6H6HSV5ZAQEMKUN2UX","short_pith_number":"pith:VTSGF5ZY","canonical_record":{"source":{"id":"2410.15461","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-20T18:24:00Z","cross_cats_sorted":["cs.MM","cs.RO"],"title_canon_sha256":"d108091bf37c751ff35d1c75a6de3f985dce325daaab86cf0d8ba33c07612d19","abstract_canon_sha256":"d9a4a2b34c636154e4789273f2f8b54721fe3ca5a9a128b988cce706190d7ce9"},"schema_version":"1.0"},"canonical_sha256":"ace462f738f1fc7957b90408c551baa5f75f9e12274650c44a3e6f7e83c9b139","source":{"kind":"arxiv","id":"2410.15461","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.15461","created_at":"2026-07-05T11:19:01Z"},{"alias_kind":"arxiv_version","alias_value":"2410.15461v2","created_at":"2026-07-05T11:19:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.15461","created_at":"2026-07-05T11:19:01Z"},{"alias_kind":"pith_short_12","alias_value":"VTSGF5ZY6H6H","created_at":"2026-07-05T11:19:01Z"},{"alias_kind":"pith_short_16","alias_value":"VTSGF5ZY6H6HSV5Z","created_at":"2026-07-05T11:19:01Z"},{"alias_kind":"pith_short_8","alias_value":"VTSGF5ZY","created_at":"2026-07-05T11:19:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:VTSGF5ZY6H6HSV5ZAQEMKUN2UX","target":"record","payload":{"canonical_record":{"source":{"id":"2410.15461","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-20T18:24:00Z","cross_cats_sorted":["cs.MM","cs.RO"],"title_canon_sha256":"d108091bf37c751ff35d1c75a6de3f985dce325daaab86cf0d8ba33c07612d19","abstract_canon_sha256":"d9a4a2b34c636154e4789273f2f8b54721fe3ca5a9a128b988cce706190d7ce9"},"schema_version":"1.0"},"canonical_sha256":"ace462f738f1fc7957b90408c551baa5f75f9e12274650c44a3e6f7e83c9b139","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:19:01.113010Z","signature_b64":"c31s+xPHAaMWykGbhyw0sKYlYTBe32+7IYwpuwXAJba1KY1d8/vNklqIfarIfN7Pz3Vv+OLIQgUxt5Wf6jYIAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ace462f738f1fc7957b90408c551baa5f75f9e12274650c44a3e6f7e83c9b139","last_reissued_at":"2026-07-05T11:19:01.112517Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:19:01.112517Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.15461","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:19:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8R5+OwglfRNPD+2E0Bdt0EHVv5OoaRlkdWaZs0ts5EFlh1JKbGi76dnlITONs3OoDmsxnOAmijd83b2tu0HSAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T14:59:49.707126Z"},"content_sha256":"41d984dbd2705e6398cb1be9f94de2858758fe55cb84742dd5483d375c17f3d7","schema_version":"1.0","event_id":"sha256:41d984dbd2705e6398cb1be9f94de2858758fe55cb84742dd5483d375c17f3d7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:VTSGF5ZY6H6HSV5ZAQEMKUN2UX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EVA: An Embodied World Model for Future Video Anticipation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.MM","cs.RO"],"primary_cat":"cs.CV","authors_text":"Anthony Chen, Chi-Min Chan, Chun-Kai Fan, Hengyuan Zhang, Qifeng Liu, Rongyu Zhang, Shanghang Zhang, Wei Xue, Xiaowei Chi, Xingqun Qi, Yike Guo","submitted_at":"2024-10-20T18:24:00Z","abstract_excerpt":"Video generation models have made significant progress in simulating future states, showcasing their potential as world simulators in embodied scenarios. However, existing models often lack robust understanding, limiting their ability to perform multi-step predictions or handle Out-of-Distribution (OOD) scenarios. To address this challenge, we propose the Reflection of Generation (RoG), a set of intermediate reasoning strategies designed to enhance video prediction. It leverages the complementary strengths of pre-trained vision-language and video generation models, enabling them to function as"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.15461","kind":"arxiv","version":2},"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/2410.15461/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":"2026-07-05T11:19:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Mb+a4tctA60rpUUpPfC/kjHXi19Y9D6gVffI4UMXNW3of2aNSOxGG8mkJUn6IVoH23E3pXrcc51hhYqnjJZKAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T14:59:49.707653Z"},"content_sha256":"9514be70985d9df588dae20fe7a2f601a7fff6f1ea4753e7842fe047baa6d662","schema_version":"1.0","event_id":"sha256:9514be70985d9df588dae20fe7a2f601a7fff6f1ea4753e7842fe047baa6d662"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VTSGF5ZY6H6HSV5ZAQEMKUN2UX/bundle.json","state_url":"https://pith.science/pith/VTSGF5ZY6H6HSV5ZAQEMKUN2UX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VTSGF5ZY6H6HSV5ZAQEMKUN2UX/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":"2026-08-03T14:59:49Z","links":{"resolver":"https://pith.science/pith/VTSGF5ZY6H6HSV5ZAQEMKUN2UX","bundle":"https://pith.science/pith/VTSGF5ZY6H6HSV5ZAQEMKUN2UX/bundle.json","state":"https://pith.science/pith/VTSGF5ZY6H6HSV5ZAQEMKUN2UX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VTSGF5ZY6H6HSV5ZAQEMKUN2UX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VTSGF5ZY6H6HSV5ZAQEMKUN2UX","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":"d9a4a2b34c636154e4789273f2f8b54721fe3ca5a9a128b988cce706190d7ce9","cross_cats_sorted":["cs.MM","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-20T18:24:00Z","title_canon_sha256":"d108091bf37c751ff35d1c75a6de3f985dce325daaab86cf0d8ba33c07612d19"},"schema_version":"1.0","source":{"id":"2410.15461","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.15461","created_at":"2026-07-05T11:19:01Z"},{"alias_kind":"arxiv_version","alias_value":"2410.15461v2","created_at":"2026-07-05T11:19:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.15461","created_at":"2026-07-05T11:19:01Z"},{"alias_kind":"pith_short_12","alias_value":"VTSGF5ZY6H6H","created_at":"2026-07-05T11:19:01Z"},{"alias_kind":"pith_short_16","alias_value":"VTSGF5ZY6H6HSV5Z","created_at":"2026-07-05T11:19:01Z"},{"alias_kind":"pith_short_8","alias_value":"VTSGF5ZY","created_at":"2026-07-05T11:19:01Z"}],"graph_snapshots":[{"event_id":"sha256:9514be70985d9df588dae20fe7a2f601a7fff6f1ea4753e7842fe047baa6d662","target":"graph","created_at":"2026-07-05T11:19:01Z","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/2410.15461/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Video generation models have made significant progress in simulating future states, showcasing their potential as world simulators in embodied scenarios. However, existing models often lack robust understanding, limiting their ability to perform multi-step predictions or handle Out-of-Distribution (OOD) scenarios. To address this challenge, we propose the Reflection of Generation (RoG), a set of intermediate reasoning strategies designed to enhance video prediction. It leverages the complementary strengths of pre-trained vision-language and video generation models, enabling them to function as","authors_text":"Anthony Chen, Chi-Min Chan, Chun-Kai Fan, Hengyuan Zhang, Qifeng Liu, Rongyu Zhang, Shanghang Zhang, Wei Xue, Xiaowei Chi, Xingqun Qi, Yike Guo","cross_cats":["cs.MM","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-20T18:24:00Z","title":"EVA: An Embodied World Model for Future Video Anticipation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.15461","kind":"arxiv","version":2},"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":"sha256:41d984dbd2705e6398cb1be9f94de2858758fe55cb84742dd5483d375c17f3d7","target":"record","created_at":"2026-07-05T11:19:01Z","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":"d9a4a2b34c636154e4789273f2f8b54721fe3ca5a9a128b988cce706190d7ce9","cross_cats_sorted":["cs.MM","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-20T18:24:00Z","title_canon_sha256":"d108091bf37c751ff35d1c75a6de3f985dce325daaab86cf0d8ba33c07612d19"},"schema_version":"1.0","source":{"id":"2410.15461","kind":"arxiv","version":2}},"canonical_sha256":"ace462f738f1fc7957b90408c551baa5f75f9e12274650c44a3e6f7e83c9b139","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ace462f738f1fc7957b90408c551baa5f75f9e12274650c44a3e6f7e83c9b139","first_computed_at":"2026-07-05T11:19:01.112517Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:19:01.112517Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c31s+xPHAaMWykGbhyw0sKYlYTBe32+7IYwpuwXAJba1KY1d8/vNklqIfarIfN7Pz3Vv+OLIQgUxt5Wf6jYIAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:19:01.113010Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.15461","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:41d984dbd2705e6398cb1be9f94de2858758fe55cb84742dd5483d375c17f3d7","sha256:9514be70985d9df588dae20fe7a2f601a7fff6f1ea4753e7842fe047baa6d662"],"state_sha256":"d1cf0785cdbd314e6c50e00ec45be97665ae33c554fd3208c6c3de2d6b67b4a0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8a0guu2zHECbNq8bYtPmlnqQhqG31rQJNPETnTdp3F2RJFYbur0bAxYI45FK++4arTk0rUgcQhxmshoiSBSjBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T14:59:49.713086Z","bundle_sha256":"1ac74b2f3ca9527e03e6e97a1a2303ea0d9722cb427257338eef475fdf8ecda9"}}