{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:6WBUGRLB2K76HLTXRTQ3T7HZDB","short_pith_number":"pith:6WBUGRLB","canonical_record":{"source":{"id":"2607.28243","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-30T14:06:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9ee1213722aa515734acd34224f59de5f7294793cc593f1f6eaaefa70c346f38","abstract_canon_sha256":"f69e866c7c5af3f72ba637f96cd12baab9a3bb52db9105e024e3fc2a72b21b8f"},"schema_version":"1.0"},"canonical_sha256":"f583434561d2bfe3ae778ce1b9fcf91873d8fedff65a4afa63945016b0b0df90","source":{"kind":"arxiv","id":"2607.28243","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.28243","created_at":"2026-07-31T01:36:54Z"},{"alias_kind":"arxiv_version","alias_value":"2607.28243v1","created_at":"2026-07-31T01:36:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.28243","created_at":"2026-07-31T01:36:54Z"},{"alias_kind":"pith_short_12","alias_value":"6WBUGRLB2K76","created_at":"2026-07-31T01:36:54Z"},{"alias_kind":"pith_short_16","alias_value":"6WBUGRLB2K76HLTX","created_at":"2026-07-31T01:36:54Z"},{"alias_kind":"pith_short_8","alias_value":"6WBUGRLB","created_at":"2026-07-31T01:36:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:6WBUGRLB2K76HLTXRTQ3T7HZDB","target":"record","payload":{"canonical_record":{"source":{"id":"2607.28243","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-30T14:06:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9ee1213722aa515734acd34224f59de5f7294793cc593f1f6eaaefa70c346f38","abstract_canon_sha256":"f69e866c7c5af3f72ba637f96cd12baab9a3bb52db9105e024e3fc2a72b21b8f"},"schema_version":"1.0"},"canonical_sha256":"f583434561d2bfe3ae778ce1b9fcf91873d8fedff65a4afa63945016b0b0df90","receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f583434561d2bfe3ae778ce1b9fcf91873d8fedff65a4afa63945016b0b0df90","last_reissued_at":"2026-07-31T01:36:54.311547Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-31T01:36:54.311547Z"},"source_kind":"arxiv","source_id":"2607.28243","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":"2026-07-31T01:36:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"04ghj7GFg9/T2TO6lq7Z+lm0y3m6bb0gPKoPWkl1LRYzmWDRHFpoLOZkxQbafhPlq3pD2wgBcO2jqBO+fqyaDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T16:02:11.037515Z"},"content_sha256":"3a18d1b23fd1c7114cb2975aada5d30fd76e4c696f9fefa98c778e61776f4660","schema_version":"1.0","event_id":"sha256:3a18d1b23fd1c7114cb2975aada5d30fd76e4c696f9fefa98c778e61776f4660"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:6WBUGRLB2K76HLTXRTQ3T7HZDB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EgoGenesis: Egocentric World-Action Modeling with Online Anchored Projective Memory and Action-3D RoPE","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Jinghong Liu, Jinkui Ren, Kaibo Yin, Linfeng Zhang, Shijian Wang, Xiantao Zhang, Xiaobing Tu, Yinggui Wang, Yue Ma, Yuzhou Wu, Zexuan Yan, Zonghang He","submitted_at":"2026-07-30T14:06:26Z","abstract_excerpt":"Egocentric video offers rich manipulation experience for embodied AI, yet collecting diverse egocentric data across scenes, objects, motions, and embodiments remains costly. We present \\method, an egocentric world-action simulator that synthesizes controllable, high-quality manipulation videos to expand scarce real-world training data. \\method{} builds on a pretrained video generation prior and introduces two geometry-aware conditioning mechanisms. Online Anchored Projective Memory (OAPM) preserves a first-frame 3D scene anchor while periodically refreshing a recent state during autoregressive"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.28243","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/2607.28243/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":"2026-07-31T01:36:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CtuN2FgNWxDYYw9y4gU/64F0XZd2TnOxPD2P39HYavMBjsMy4bag2pA3jktvlnB8PgRHe2VFt0AEOW6H4ikOBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T16:02:11.038117Z"},"content_sha256":"a623238b4a2b8bf42e6b280a535310251ba8ae579eda1639938e1cda62312e47","schema_version":"1.0","event_id":"sha256:a623238b4a2b8bf42e6b280a535310251ba8ae579eda1639938e1cda62312e47"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6WBUGRLB2K76HLTXRTQ3T7HZDB/bundle.json","state_url":"https://pith.science/pith/6WBUGRLB2K76HLTXRTQ3T7HZDB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6WBUGRLB2K76HLTXRTQ3T7HZDB/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":"2026-08-02T16:02:11Z","links":{"resolver":"https://pith.science/pith/6WBUGRLB2K76HLTXRTQ3T7HZDB","bundle":"https://pith.science/pith/6WBUGRLB2K76HLTXRTQ3T7HZDB/bundle.json","state":"https://pith.science/pith/6WBUGRLB2K76HLTXRTQ3T7HZDB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6WBUGRLB2K76HLTXRTQ3T7HZDB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:6WBUGRLB2K76HLTXRTQ3T7HZDB","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":"f69e866c7c5af3f72ba637f96cd12baab9a3bb52db9105e024e3fc2a72b21b8f","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-30T14:06:26Z","title_canon_sha256":"9ee1213722aa515734acd34224f59de5f7294793cc593f1f6eaaefa70c346f38"},"schema_version":"1.0","source":{"id":"2607.28243","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.28243","created_at":"2026-07-31T01:36:54Z"},{"alias_kind":"arxiv_version","alias_value":"2607.28243v1","created_at":"2026-07-31T01:36:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.28243","created_at":"2026-07-31T01:36:54Z"},{"alias_kind":"pith_short_12","alias_value":"6WBUGRLB2K76","created_at":"2026-07-31T01:36:54Z"},{"alias_kind":"pith_short_16","alias_value":"6WBUGRLB2K76HLTX","created_at":"2026-07-31T01:36:54Z"},{"alias_kind":"pith_short_8","alias_value":"6WBUGRLB","created_at":"2026-07-31T01:36:54Z"}],"graph_snapshots":[{"event_id":"sha256:a623238b4a2b8bf42e6b280a535310251ba8ae579eda1639938e1cda62312e47","target":"graph","created_at":"2026-07-31T01:36:54Z","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/2607.28243/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Egocentric video offers rich manipulation experience for embodied AI, yet collecting diverse egocentric data across scenes, objects, motions, and embodiments remains costly. We present \\method, an egocentric world-action simulator that synthesizes controllable, high-quality manipulation videos to expand scarce real-world training data. \\method{} builds on a pretrained video generation prior and introduces two geometry-aware conditioning mechanisms. Online Anchored Projective Memory (OAPM) preserves a first-frame 3D scene anchor while periodically refreshing a recent state during autoregressive","authors_text":"Jinghong Liu, Jinkui Ren, Kaibo Yin, Linfeng Zhang, Shijian Wang, Xiantao Zhang, Xiaobing Tu, Yinggui Wang, Yue Ma, Yuzhou Wu, Zexuan Yan, Zonghang He","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-30T14:06:26Z","title":"EgoGenesis: Egocentric World-Action Modeling with Online Anchored Projective Memory and Action-3D RoPE"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.28243","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":"sha256:3a18d1b23fd1c7114cb2975aada5d30fd76e4c696f9fefa98c778e61776f4660","target":"record","created_at":"2026-07-31T01:36:54Z","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":"f69e866c7c5af3f72ba637f96cd12baab9a3bb52db9105e024e3fc2a72b21b8f","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-30T14:06:26Z","title_canon_sha256":"9ee1213722aa515734acd34224f59de5f7294793cc593f1f6eaaefa70c346f38"},"schema_version":"1.0","source":{"id":"2607.28243","kind":"arxiv","version":1}},"canonical_sha256":"f583434561d2bfe3ae778ce1b9fcf91873d8fedff65a4afa63945016b0b0df90","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f583434561d2bfe3ae778ce1b9fcf91873d8fedff65a4afa63945016b0b0df90","first_computed_at":"2026-07-31T01:36:54.311547Z","kind":"pith_receipt","last_reissued_at":"2026-07-31T01:36:54.311547Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.28243","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3a18d1b23fd1c7114cb2975aada5d30fd76e4c696f9fefa98c778e61776f4660","sha256:a623238b4a2b8bf42e6b280a535310251ba8ae579eda1639938e1cda62312e47"],"state_sha256":"fe8e95537d63b04e13fd33e32bb530cf21840f47bc5c2130e28ba2bc42593e51"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kHcDIJSjskgUZFzznBZi5IAqCvxjTJivlaCqCWm17P0gM+kI51A3ga7W89BcXThJ4jVQMtPcDxW6Oa3JQM/wAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-02T16:02:11.043577Z","bundle_sha256":"c82fa3a0fc620172ab98a7ebd60a9ecdf74f0bd0c6764d8df2b9d82e1326b400"}}