{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:BIUKUU7ZQANMQBC4P2MBWOEF23","short_pith_number":"pith:BIUKUU7Z","canonical_record":{"source":{"id":"2608.04964","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-05T15:34:47Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"925d66ad20cdd406da1dd1c1fbf00fd6f19d4b857aa1fe72eb2977d88972eb11","abstract_canon_sha256":"c8e6c7c521b3ba0a4173d7bf3bd18fb8f02b3b963baed9db676af08766f32a90"},"schema_version":"1.0"},"canonical_sha256":"0a28aa53f9801ac8045c7e981b3885d6f6bf34ce25027b4cfee574b0e79b9a96","source":{"kind":"arxiv","id":"2608.04964","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.04964","created_at":"2026-08-06T01:47:57Z"},{"alias_kind":"arxiv_version","alias_value":"2608.04964v1","created_at":"2026-08-06T01:47:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.04964","created_at":"2026-08-06T01:47:57Z"},{"alias_kind":"pith_short_12","alias_value":"BIUKUU7ZQANM","created_at":"2026-08-06T01:47:57Z"},{"alias_kind":"pith_short_16","alias_value":"BIUKUU7ZQANMQBC4","created_at":"2026-08-06T01:47:57Z"},{"alias_kind":"pith_short_8","alias_value":"BIUKUU7Z","created_at":"2026-08-06T01:47:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:BIUKUU7ZQANMQBC4P2MBWOEF23","target":"record","payload":{"canonical_record":{"source":{"id":"2608.04964","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-05T15:34:47Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"925d66ad20cdd406da1dd1c1fbf00fd6f19d4b857aa1fe72eb2977d88972eb11","abstract_canon_sha256":"c8e6c7c521b3ba0a4173d7bf3bd18fb8f02b3b963baed9db676af08766f32a90"},"schema_version":"1.0"},"canonical_sha256":"0a28aa53f9801ac8045c7e981b3885d6f6bf34ce25027b4cfee574b0e79b9a96","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-06T01:47:57.647213Z","signature_b64":"Md7Ygz1GgjpEUXG2Mg7vuxVrfO6CkQQskbFXN5McwDOd7y/QNSZBC8x8ifOaHORElgkoSRHhPb7honKecYwiAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0a28aa53f9801ac8045c7e981b3885d6f6bf34ce25027b4cfee574b0e79b9a96","last_reissued_at":"2026-08-06T01:47:57.645857Z","signature_status":"signed_v1","first_computed_at":"2026-08-06T01:47:57.645857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.04964","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":"2026-08-06T01:47:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C4PDZBv6U/z7epev+eoBU8NHxNjhmRE7YP9NLIL++OkzmuaQ2W7kCOVqsUN0LwWNbqnzRgPwBOLzJVjBmtckAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T20:48:27.601857Z"},"content_sha256":"778d736e161179c9268fad8f4a673eaadef3810a40da911b35d8090d8bd180ea","schema_version":"1.0","event_id":"sha256:778d736e161179c9268fad8f4a673eaadef3810a40da911b35d8090d8bd180ea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:BIUKUU7ZQANMQBC4P2MBWOEF23","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"WorldCycle: Self-Verifiable Reinforcement Learning for Long-Horizon Video World Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Alan Zhao, Bohai Gu, Dazhao Du, Haobin Zhong, Jian Liu, Jie Zhang, Song Guo, Taiyi Wu, Xiaocheng Lu, Xiaotong Zhao, Xiaoyi Pang, Yueyang Yuan","submitted_at":"2026-08-05T15:34:47Z","abstract_excerpt":"Interactive video world models are essential for long-horizon planning and exploration, yet they suffer from compounding errors. Post-training methods such as reinforcement learning (RL) can improve these models, but they hit a verification bottleneck: for arbitrary action sequences, no ground-truth future state exists to measure long-term drift. Our key insight is that reversible action cycles make this verification possible: a sequence composed with its inverse must analytically return to the initial state, yielding annotation-free supervision on long-horizon correctness. Building on this, w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.04964","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/2608.04964/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":"2026-08-06T01:47:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jR3tvIWTsOk0Ttqa2g1I0o0GNlypJlS4m4a4ma4ABUa3wv/7Bp0JPmpk7RgOcBknSSPx8MSIo8PspoLsXGPkCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T20:48:27.602180Z"},"content_sha256":"c286ba3617dc01f6a90ec9c49d2b4de44622c21700b2fa84a46dbb87c97b2d73","schema_version":"1.0","event_id":"sha256:c286ba3617dc01f6a90ec9c49d2b4de44622c21700b2fa84a46dbb87c97b2d73"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BIUKUU7ZQANMQBC4P2MBWOEF23/bundle.json","state_url":"https://pith.science/pith/BIUKUU7ZQANMQBC4P2MBWOEF23/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BIUKUU7ZQANMQBC4P2MBWOEF23/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":"2026-08-06T20:48:27Z","links":{"resolver":"https://pith.science/pith/BIUKUU7ZQANMQBC4P2MBWOEF23","bundle":"https://pith.science/pith/BIUKUU7ZQANMQBC4P2MBWOEF23/bundle.json","state":"https://pith.science/pith/BIUKUU7ZQANMQBC4P2MBWOEF23/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BIUKUU7ZQANMQBC4P2MBWOEF23/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BIUKUU7ZQANMQBC4P2MBWOEF23","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":"c8e6c7c521b3ba0a4173d7bf3bd18fb8f02b3b963baed9db676af08766f32a90","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-05T15:34:47Z","title_canon_sha256":"925d66ad20cdd406da1dd1c1fbf00fd6f19d4b857aa1fe72eb2977d88972eb11"},"schema_version":"1.0","source":{"id":"2608.04964","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.04964","created_at":"2026-08-06T01:47:57Z"},{"alias_kind":"arxiv_version","alias_value":"2608.04964v1","created_at":"2026-08-06T01:47:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.04964","created_at":"2026-08-06T01:47:57Z"},{"alias_kind":"pith_short_12","alias_value":"BIUKUU7ZQANM","created_at":"2026-08-06T01:47:57Z"},{"alias_kind":"pith_short_16","alias_value":"BIUKUU7ZQANMQBC4","created_at":"2026-08-06T01:47:57Z"},{"alias_kind":"pith_short_8","alias_value":"BIUKUU7Z","created_at":"2026-08-06T01:47:57Z"}],"graph_snapshots":[{"event_id":"sha256:c286ba3617dc01f6a90ec9c49d2b4de44622c21700b2fa84a46dbb87c97b2d73","target":"graph","created_at":"2026-08-06T01:47:57Z","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/2608.04964/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Interactive video world models are essential for long-horizon planning and exploration, yet they suffer from compounding errors. Post-training methods such as reinforcement learning (RL) can improve these models, but they hit a verification bottleneck: for arbitrary action sequences, no ground-truth future state exists to measure long-term drift. Our key insight is that reversible action cycles make this verification possible: a sequence composed with its inverse must analytically return to the initial state, yielding annotation-free supervision on long-horizon correctness. Building on this, w","authors_text":"Alan Zhao, Bohai Gu, Dazhao Du, Haobin Zhong, Jian Liu, Jie Zhang, Song Guo, Taiyi Wu, Xiaocheng Lu, Xiaotong Zhao, Xiaoyi Pang, Yueyang Yuan","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-05T15:34:47Z","title":"WorldCycle: Self-Verifiable Reinforcement Learning for Long-Horizon Video World Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.04964","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":"sha256:778d736e161179c9268fad8f4a673eaadef3810a40da911b35d8090d8bd180ea","target":"record","created_at":"2026-08-06T01:47:57Z","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":"c8e6c7c521b3ba0a4173d7bf3bd18fb8f02b3b963baed9db676af08766f32a90","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-08-05T15:34:47Z","title_canon_sha256":"925d66ad20cdd406da1dd1c1fbf00fd6f19d4b857aa1fe72eb2977d88972eb11"},"schema_version":"1.0","source":{"id":"2608.04964","kind":"arxiv","version":1}},"canonical_sha256":"0a28aa53f9801ac8045c7e981b3885d6f6bf34ce25027b4cfee574b0e79b9a96","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0a28aa53f9801ac8045c7e981b3885d6f6bf34ce25027b4cfee574b0e79b9a96","first_computed_at":"2026-08-06T01:47:57.645857Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-06T01:47:57.645857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Md7Ygz1GgjpEUXG2Mg7vuxVrfO6CkQQskbFXN5McwDOd7y/QNSZBC8x8ifOaHORElgkoSRHhPb7honKecYwiAA==","signature_status":"signed_v1","signed_at":"2026-08-06T01:47:57.647213Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.04964","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:778d736e161179c9268fad8f4a673eaadef3810a40da911b35d8090d8bd180ea","sha256:c286ba3617dc01f6a90ec9c49d2b4de44622c21700b2fa84a46dbb87c97b2d73"],"state_sha256":"7b8c87c64108275d4202ddcfc49f17458737c3f340a6c049bb76f96bfcfa2da3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kuYEoxUW1AS680YWdVaXLI8rKZtVLeMLsh1ND69lfK71didPe1eJ0uua9LPREvQIih2LwlSzprz5+Bo9SXDOAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T20:48:27.606031Z","bundle_sha256":"5f804d39bfb66b566e0c07f242ead3992b9eaa5b06c8c59f37c9a7ad3422125c"}}