{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DASG5RF3UEDXEMP26JDDNS24CF","short_pith_number":"pith:DASG5RF3","canonical_record":{"source":{"id":"2502.09886","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-14T03:22:03Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"8f606124d4dd9189653569f293f6687f7e21f969163ddec39e1de421784b1980","abstract_canon_sha256":"f959c9b75c6ddba1cc977c2f5f81b566c0bf4367197693331e9b9b83819ce617"},"schema_version":"1.0"},"canonical_sha256":"18246ec4bba1077231faf24636cb5c117ab27a19ef8ac43d5b6a0c936e90a0e1","source":{"kind":"arxiv","id":"2502.09886","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.09886","created_at":"2026-07-05T10:14:13Z"},{"alias_kind":"arxiv_version","alias_value":"2502.09886v1","created_at":"2026-07-05T10:14:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.09886","created_at":"2026-07-05T10:14:13Z"},{"alias_kind":"pith_short_12","alias_value":"DASG5RF3UEDX","created_at":"2026-07-05T10:14:13Z"},{"alias_kind":"pith_short_16","alias_value":"DASG5RF3UEDXEMP2","created_at":"2026-07-05T10:14:13Z"},{"alias_kind":"pith_short_8","alias_value":"DASG5RF3","created_at":"2026-07-05T10:14:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DASG5RF3UEDXEMP26JDDNS24CF","target":"record","payload":{"canonical_record":{"source":{"id":"2502.09886","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-14T03:22:03Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"8f606124d4dd9189653569f293f6687f7e21f969163ddec39e1de421784b1980","abstract_canon_sha256":"f959c9b75c6ddba1cc977c2f5f81b566c0bf4367197693331e9b9b83819ce617"},"schema_version":"1.0"},"canonical_sha256":"18246ec4bba1077231faf24636cb5c117ab27a19ef8ac43d5b6a0c936e90a0e1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:14:13.813990Z","signature_b64":"hCxX6mdRbBEs0zX++n79Fdf1wDeyNlKURllDVepCsC7Ie3aLDuaLwMSd88rdQEQYBU3YOHxG7ROWA+VFVyPgDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"18246ec4bba1077231faf24636cb5c117ab27a19ef8ac43d5b6a0c936e90a0e1","last_reissued_at":"2026-07-05T10:14:13.813456Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:14:13.813456Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.09886","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":"2026-07-05T10:14:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RFx+hZIBPbEiAi2GeGdRzrjD5SMxSJlid6ii0ZARzKMdBXGQMH78xvGJzejn4VcsS3xNVw22N1PfP2lqHk8ABQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T03:50:16.585914Z"},"content_sha256":"66038597b4db3e504220c486d93a858d7caad559aa7260ab78681a9984ba3236","schema_version":"1.0","event_id":"sha256:66038597b4db3e504220c486d93a858d7caad559aa7260ab78681a9984ba3236"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DASG5RF3UEDXEMP26JDDNS24CF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Video2Policy: Scaling up Manipulation Tasks in Simulation through Internet Videos","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.RO","authors_text":"Fangchen Liu, Oleh Rybkin, Pieter Abbeel, Weirui Ye, Yang Gao, Zheng Ding","submitted_at":"2025-02-14T03:22:03Z","abstract_excerpt":"Simulation offers a promising approach for cheaply scaling training data for generalist policies. To scalably generate data from diverse and realistic tasks, existing algorithms either rely on large language models (LLMs) that may hallucinate tasks not interesting for robotics; or digital twins, which require careful real-to-sim alignment and are hard to scale. To address these challenges, we introduce Video2Policy, a novel framework that leverages internet RGB videos to reconstruct tasks based on everyday human behavior. Our approach comprises two phases: (1) task generation in simulation fro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.09886","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/2502.09886/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":"2026-07-05T10:14:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JkASRsCBZTdkAju4jZr7DyESV2OYLlq1fuWcuR0LkBfQ6a3Aat4acAQqzvBc65Hm9LAf1TAvr9sDOHSIAjSoDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T03:50:16.586305Z"},"content_sha256":"8a865dc7c65ca06727f12c3497760771111d3344e67404d1fb2ebe3512f9becd","schema_version":"1.0","event_id":"sha256:8a865dc7c65ca06727f12c3497760771111d3344e67404d1fb2ebe3512f9becd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DASG5RF3UEDXEMP26JDDNS24CF/bundle.json","state_url":"https://pith.science/pith/DASG5RF3UEDXEMP26JDDNS24CF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DASG5RF3UEDXEMP26JDDNS24CF/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":"2026-07-07T03:50:16Z","links":{"resolver":"https://pith.science/pith/DASG5RF3UEDXEMP26JDDNS24CF","bundle":"https://pith.science/pith/DASG5RF3UEDXEMP26JDDNS24CF/bundle.json","state":"https://pith.science/pith/DASG5RF3UEDXEMP26JDDNS24CF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DASG5RF3UEDXEMP26JDDNS24CF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DASG5RF3UEDXEMP26JDDNS24CF","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":"f959c9b75c6ddba1cc977c2f5f81b566c0bf4367197693331e9b9b83819ce617","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-14T03:22:03Z","title_canon_sha256":"8f606124d4dd9189653569f293f6687f7e21f969163ddec39e1de421784b1980"},"schema_version":"1.0","source":{"id":"2502.09886","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.09886","created_at":"2026-07-05T10:14:13Z"},{"alias_kind":"arxiv_version","alias_value":"2502.09886v1","created_at":"2026-07-05T10:14:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.09886","created_at":"2026-07-05T10:14:13Z"},{"alias_kind":"pith_short_12","alias_value":"DASG5RF3UEDX","created_at":"2026-07-05T10:14:13Z"},{"alias_kind":"pith_short_16","alias_value":"DASG5RF3UEDXEMP2","created_at":"2026-07-05T10:14:13Z"},{"alias_kind":"pith_short_8","alias_value":"DASG5RF3","created_at":"2026-07-05T10:14:13Z"}],"graph_snapshots":[{"event_id":"sha256:8a865dc7c65ca06727f12c3497760771111d3344e67404d1fb2ebe3512f9becd","target":"graph","created_at":"2026-07-05T10:14:13Z","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/2502.09886/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Simulation offers a promising approach for cheaply scaling training data for generalist policies. To scalably generate data from diverse and realistic tasks, existing algorithms either rely on large language models (LLMs) that may hallucinate tasks not interesting for robotics; or digital twins, which require careful real-to-sim alignment and are hard to scale. To address these challenges, we introduce Video2Policy, a novel framework that leverages internet RGB videos to reconstruct tasks based on everyday human behavior. Our approach comprises two phases: (1) task generation in simulation fro","authors_text":"Fangchen Liu, Oleh Rybkin, Pieter Abbeel, Weirui Ye, Yang Gao, Zheng Ding","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-14T03:22:03Z","title":"Video2Policy: Scaling up Manipulation Tasks in Simulation through Internet Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.09886","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":"sha256:66038597b4db3e504220c486d93a858d7caad559aa7260ab78681a9984ba3236","target":"record","created_at":"2026-07-05T10:14:13Z","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":"f959c9b75c6ddba1cc977c2f5f81b566c0bf4367197693331e9b9b83819ce617","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2025-02-14T03:22:03Z","title_canon_sha256":"8f606124d4dd9189653569f293f6687f7e21f969163ddec39e1de421784b1980"},"schema_version":"1.0","source":{"id":"2502.09886","kind":"arxiv","version":1}},"canonical_sha256":"18246ec4bba1077231faf24636cb5c117ab27a19ef8ac43d5b6a0c936e90a0e1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"18246ec4bba1077231faf24636cb5c117ab27a19ef8ac43d5b6a0c936e90a0e1","first_computed_at":"2026-07-05T10:14:13.813456Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:14:13.813456Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hCxX6mdRbBEs0zX++n79Fdf1wDeyNlKURllDVepCsC7Ie3aLDuaLwMSd88rdQEQYBU3YOHxG7ROWA+VFVyPgDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:14:13.813990Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.09886","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:66038597b4db3e504220c486d93a858d7caad559aa7260ab78681a9984ba3236","sha256:8a865dc7c65ca06727f12c3497760771111d3344e67404d1fb2ebe3512f9becd"],"state_sha256":"ec92773cc606d5bf3fcaf1b9c9b04ad2fd64714b26e77cf314e99025363ec328"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PlmDamLx6nV53kYmB4T/IdLGNieXIJg2tuOxBw164gfnLLFeqZDAH9aSv0PFqsbL4JpYnz0GDVAEFv8oFmM+BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T03:50:16.588335Z","bundle_sha256":"5ea6252ca89f06778298b5de7c102978090a31acd841b03ba1e253ca28645ce5"}}