{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:LTJPSQENT5HHT5ZZL6GIQWPGBB","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":"5c05a07d4893e67a750e8ba4fe780192c84a1e1bcf350103f2faa439356d34c9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-01-28T12:37:01Z","title_canon_sha256":"652536ea9e2faf1c5f170b65d4f2dfcdee205b52188f1ad877e30903215e7d56"},"schema_version":"1.0","source":{"id":"2601.20540","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.20540","created_at":"2026-05-17T23:38:48Z"},{"alias_kind":"arxiv_version","alias_value":"2601.20540v1","created_at":"2026-05-17T23:38:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.20540","created_at":"2026-05-17T23:38:48Z"},{"alias_kind":"pith_short_12","alias_value":"LTJPSQENT5HH","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"LTJPSQENT5HHT5ZZ","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"LTJPSQEN","created_at":"2026-05-18T12:33:37Z"}],"graph_snapshots":[{"event_id":"sha256:521182fda74e638b7f65518e488b49cf946b6d278d1c6379d162a2c7f2a2e1d3","target":"graph","created_at":"2026-05-17T23:38:48Z","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":4,"items":[{"attestation":"unclaimed","claim_id":"C1","kind":"strongest_claim","source":"verdict.strongest_claim","status":"machine_extracted","text":"Positioned as a top-tier world model, LingBot-World offers the following features. (1) It maintains high fidelity and robust dynamics in a broad spectrum of environments, including realism, scientific contexts, cartoon styles, and beyond. (2) It enables a minute-level horizon while preserving contextual consistency over time, which is also known as 'long-term memory'. (3) It supports real-time interactivity, achieving a latency of under 1 second when producing 16 frames per second."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"The assumption that the released model actually achieves the stated levels of fidelity, minute-scale consistency, and sub-second latency across diverse environments, as the abstract provides no benchmarks, comparisons, or implementation details to support these performance assertions."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"LingBot-World is presented as an open-source world model that delivers high-fidelity simulation, minute-level contextual consistency, and real-time interactivity under one second latency."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"LingBot-World is an open-source world simulator from video generation that claims high fidelity across environments, minute-scale temporal consistency, and sub-second latency at 16 frames per second."}],"snapshot_sha256":"6c0d89bff1ef1ec2f4c7a4c82b9ed433f705778ab7bc5c55ce5bd2a06a28d6f6"},"formal_canon":{"evidence_count":2,"snapshot_sha256":"d3caeb89f497cc9e0fa7dfd0446443149eaf6ced7c6845a254b91497ddf7e015"},"paper":{"abstract_excerpt":"We present LingBot-World, an open-sourced world simulator stemming from video generation. Positioned as a top-tier world model, LingBot-World offers the following features. (1) It maintains high fidelity and robust dynamics in a broad spectrum of environments, including realism, scientific contexts, cartoon styles, and beyond. (2) It enables a minute-level horizon while preserving contextual consistency over time, which is also known as \"long-term memory\". (3) It supports real-time interactivity, achieving a latency of under 1 second when producing 16 frames per second. We provide public acces","authors_text":"Hanlin Wang, Hao Ouyang, Jiapeng Zhu, Jiayi Zhu, Jie Liu, Jingye Chen, Ka Leong Cheng, Kecheng Zheng, Qingyan Bai, Qiuyu Wang, Robbyant Team: Zelin Gao, Shuailei Ma, Xing Zhu, Yanhong Zeng, Yansong Cheng, Yao Yao, Yihang Chen, Yihao Meng, Yinghao Xu, Yixuan Li, Yue Yu, Yujun Shen, Zehong Shen","cross_cats":[],"headline":"LingBot-World is an open-source world simulator from video generation that claims high fidelity across environments, minute-scale temporal consistency, and sub-second latency at 16 frames per second.","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-01-28T12:37:01Z","title":"Advancing Open-source World Models"},"references":{"count":92,"internal_anchors":34,"resolved_work":92,"sample":[{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":1,"title":"Diffusion for world modeling: Visual details matter in atari","work_id":"981f9f8f-23a1-43b6-b3a0-7985c1de3adf","year":2024},{"cited_arxiv_id":"2506.09985","doi":"","is_internal_anchor":true,"ref_index":2,"title":"V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning","work_id":"a9c28401-f16a-4933-89f0-788e2f94e52b","year":2025},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":3,"title":"Scaling instruction-based video editing with a high-quality synthetic dataset","work_id":"4db310ce-4ba1-4e8d-93a6-90134f0ff4e8","year":2025},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":4,"title":"Frozen in time: A joint video and image encoder for end-to-end retrieval","work_id":"990d77ea-f62a-4107-9b3c-0d0dfb5b355c","year":2021},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":5,"title":"Philip J. Ball, Jakob Bauer, Frank Belletti, Bethanie Brownfield, Ariel Ephrat, Shlomi Fruchter, Agrim Gupta, Kristian Holsheimer, Aleksander Holynski, Jiri Hron, Christos Kaplanis, Marjorie Limont, M","work_id":"fb735614-5ca1-448c-b17c-b9dde7a72be9","year":2025}],"snapshot_sha256":"8171259952c32e560004c2a558534df781de8fc596fb7ec0d2f85535fb170a48"},"source":{"id":"2601.20540","kind":"arxiv","version":1},"verdict":{"created_at":"2026-05-16T09:02:34.641612Z","id":"13a3d94a-706b-43fb-9681-15e1d9735669","model_set":{"reader":"grok-4.3"},"one_line_summary":"LingBot-World is presented as an open-source world model that delivers high-fidelity simulation, minute-level contextual consistency, and real-time interactivity under one second latency.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"LingBot-World is an open-source world simulator from video generation that claims high fidelity across environments, minute-scale temporal consistency, and sub-second latency at 16 frames per second.","strongest_claim":"Positioned as a top-tier world model, LingBot-World offers the following features. (1) It maintains high fidelity and robust dynamics in a broad spectrum of environments, including realism, scientific contexts, cartoon styles, and beyond. (2) It enables a minute-level horizon while preserving contextual consistency over time, which is also known as 'long-term memory'. (3) It supports real-time interactivity, achieving a latency of under 1 second when producing 16 frames per second.","weakest_assumption":"The assumption that the released model actually achieves the stated levels of fidelity, minute-scale consistency, and sub-second latency across diverse environments, as the abstract provides no benchmarks, comparisons, or implementation details to support these performance assertions."}},"verdict_id":"13a3d94a-706b-43fb-9681-15e1d9735669"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:f641c71289af6a01422ad7521cdb92d44025adb781d6e1d62a4375e6be0bcd77","target":"record","created_at":"2026-05-17T23:38:48Z","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":"5c05a07d4893e67a750e8ba4fe780192c84a1e1bcf350103f2faa439356d34c9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-01-28T12:37:01Z","title_canon_sha256":"652536ea9e2faf1c5f170b65d4f2dfcdee205b52188f1ad877e30903215e7d56"},"schema_version":"1.0","source":{"id":"2601.20540","kind":"arxiv","version":1}},"canonical_sha256":"5cd2f9408d9f4e79f7395f8c8859e60861af57d0a44f69a006aae337ba69f3a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5cd2f9408d9f4e79f7395f8c8859e60861af57d0a44f69a006aae337ba69f3a6","first_computed_at":"2026-05-17T23:38:48.414163Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:38:48.414163Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8ne/IImPxsFv6q9Od1FD+dvDVkor0EFNNrLrh8UIz4X5nnGbtU0UL9Uhsxf+p7xJwhqZojVFLtRgonjfbJPeDw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:38:48.414674Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.20540","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f641c71289af6a01422ad7521cdb92d44025adb781d6e1d62a4375e6be0bcd77","sha256:521182fda74e638b7f65518e488b49cf946b6d278d1c6379d162a2c7f2a2e1d3"],"state_sha256":"7c129be727344844faf3a03d4b0683b87402d88c9cfaa6a0338a71d1f8b574f4"}