{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:5YX7IDEFMUBCJUCC5PUK45Q32P","short_pith_number":"pith:5YX7IDEF","canonical_record":{"source":{"id":"2601.20430","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-01-28T09:37:13Z","cross_cats_sorted":[],"title_canon_sha256":"9556ae2863ac688678fe40f07925ba5253855a8c3d3e5cce96c9e212d2966c51","abstract_canon_sha256":"5e9a2b5ea37b48410e833d9377e7998ec3b7dcbac3aed4982f1ccdc0f4820c07"},"schema_version":"1.0"},"canonical_sha256":"ee2ff40c85650224d042ebe8ae761bd3d54249a2a24cf6d54eebcbeefe938c6c","source":{"kind":"arxiv","id":"2601.20430","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.20430","created_at":"2026-07-14T02:21:28Z"},{"alias_kind":"arxiv_version","alias_value":"2601.20430v2","created_at":"2026-07-14T02:21:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.20430","created_at":"2026-07-14T02:21:28Z"},{"alias_kind":"pith_short_12","alias_value":"5YX7IDEFMUBC","created_at":"2026-07-14T02:21:28Z"},{"alias_kind":"pith_short_16","alias_value":"5YX7IDEFMUBCJUCC","created_at":"2026-07-14T02:21:28Z"},{"alias_kind":"pith_short_8","alias_value":"5YX7IDEF","created_at":"2026-07-14T02:21:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:5YX7IDEFMUBCJUCC5PUK45Q32P","target":"record","payload":{"canonical_record":{"source":{"id":"2601.20430","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-01-28T09:37:13Z","cross_cats_sorted":[],"title_canon_sha256":"9556ae2863ac688678fe40f07925ba5253855a8c3d3e5cce96c9e212d2966c51","abstract_canon_sha256":"5e9a2b5ea37b48410e833d9377e7998ec3b7dcbac3aed4982f1ccdc0f4820c07"},"schema_version":"1.0"},"canonical_sha256":"ee2ff40c85650224d042ebe8ae761bd3d54249a2a24cf6d54eebcbeefe938c6c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-14T02:21:28.430186Z","signature_b64":"rq0inLQ+e4d/MxjWzX/360q5eB6HjjJ7ayUQyyjDWHbNY8d0Qz3wV8Ax9hhU4XzLJRqyZHzhMjp+TKJOXVdbCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ee2ff40c85650224d042ebe8ae761bd3d54249a2a24cf6d54eebcbeefe938c6c","last_reissued_at":"2026-07-14T02:21:28.429283Z","signature_status":"signed_v1","first_computed_at":"2026-07-14T02:21:28.429283Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2601.20430","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":"2026-07-14T02:21:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E+F2RcyWboestKkLs4WBv4mQjqnpuqw3jYJ0n5Kaz7royVmoFxUeSA7y12J5rzJezOCU3XV8mjZvXwmGoRI+Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-27T09:33:04.798041Z"},"content_sha256":"6f6590d432f915a4613c47e4a78813b4dea3733e4364675d86240c435ef3650d","schema_version":"1.0","event_id":"sha256:6f6590d432f915a4613c47e4a78813b4dea3733e4364675d86240c435ef3650d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:5YX7IDEFMUBCJUCC5PUK45Q32P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Youtu-Parsing: Perception, Structuring and Recognition via High-Parallelism Decoding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Antai Guo, Bing Liu, Chengxu He, Deqiang Jiang, Haodong Lin, Haoyu Cao, Huang Chen, Kun Yin, Qianyu Li, Shuangyin Liu, Xiaotian Li, Xing Sun, Xin Li, Yanqiu Qu, Yanzhen Liao, Yinsong Liu, Yunfei Wu, Yunsheng Wu, Zhongpeng Cai","submitted_at":"2026-01-28T09:37:13Z","abstract_excerpt":"This paper presents Youtu-Parsing, an efficient and versatile document parsing model designed for high-performance content extraction. The architecture employs a native Vision Transformer (ViT) featuring a dynamic-resolution visual encoder to extract shared document features, coupled with a prompt-guided Youtu-LLM-2B language model for layout analysis and region-prompted decoding. Leveraging this decoupled and feature-reusable framework, we introduce a high-parallelism decoding strategy comprising two core components: token parallelism and query parallelism. The token parallelism strategy conc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.20430","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/2601.20430/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":"2026-07-14T02:21:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ubqQ5J1C6BDDcgAMjRm7l+wepgEYGq1kITkxcR7IKh8zqoQZhK2gQIcogpyZRHppHlMgAelFXKWOw6XTk39zAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-27T09:33:04.798431Z"},"content_sha256":"fa53cada7098fc69a866521ac97b78407f5b9bdbbe3c381c11f4e6903ffcb338","schema_version":"1.0","event_id":"sha256:fa53cada7098fc69a866521ac97b78407f5b9bdbbe3c381c11f4e6903ffcb338"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5YX7IDEFMUBCJUCC5PUK45Q32P/bundle.json","state_url":"https://pith.science/pith/5YX7IDEFMUBCJUCC5PUK45Q32P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5YX7IDEFMUBCJUCC5PUK45Q32P/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":"2026-07-27T09:33:04Z","links":{"resolver":"https://pith.science/pith/5YX7IDEFMUBCJUCC5PUK45Q32P","bundle":"https://pith.science/pith/5YX7IDEFMUBCJUCC5PUK45Q32P/bundle.json","state":"https://pith.science/pith/5YX7IDEFMUBCJUCC5PUK45Q32P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5YX7IDEFMUBCJUCC5PUK45Q32P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:5YX7IDEFMUBCJUCC5PUK45Q32P","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":"5e9a2b5ea37b48410e833d9377e7998ec3b7dcbac3aed4982f1ccdc0f4820c07","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-01-28T09:37:13Z","title_canon_sha256":"9556ae2863ac688678fe40f07925ba5253855a8c3d3e5cce96c9e212d2966c51"},"schema_version":"1.0","source":{"id":"2601.20430","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.20430","created_at":"2026-07-14T02:21:28Z"},{"alias_kind":"arxiv_version","alias_value":"2601.20430v2","created_at":"2026-07-14T02:21:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.20430","created_at":"2026-07-14T02:21:28Z"},{"alias_kind":"pith_short_12","alias_value":"5YX7IDEFMUBC","created_at":"2026-07-14T02:21:28Z"},{"alias_kind":"pith_short_16","alias_value":"5YX7IDEFMUBCJUCC","created_at":"2026-07-14T02:21:28Z"},{"alias_kind":"pith_short_8","alias_value":"5YX7IDEF","created_at":"2026-07-14T02:21:28Z"}],"graph_snapshots":[{"event_id":"sha256:fa53cada7098fc69a866521ac97b78407f5b9bdbbe3c381c11f4e6903ffcb338","target":"graph","created_at":"2026-07-14T02:21:28Z","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/2601.20430/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents Youtu-Parsing, an efficient and versatile document parsing model designed for high-performance content extraction. The architecture employs a native Vision Transformer (ViT) featuring a dynamic-resolution visual encoder to extract shared document features, coupled with a prompt-guided Youtu-LLM-2B language model for layout analysis and region-prompted decoding. Leveraging this decoupled and feature-reusable framework, we introduce a high-parallelism decoding strategy comprising two core components: token parallelism and query parallelism. The token parallelism strategy conc","authors_text":"Antai Guo, Bing Liu, Chengxu He, Deqiang Jiang, Haodong Lin, Haoyu Cao, Huang Chen, Kun Yin, Qianyu Li, Shuangyin Liu, Xiaotian Li, Xing Sun, Xin Li, Yanqiu Qu, Yanzhen Liao, Yinsong Liu, Yunfei Wu, Yunsheng Wu, Zhongpeng Cai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-01-28T09:37:13Z","title":"Youtu-Parsing: Perception, Structuring and Recognition via High-Parallelism Decoding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.20430","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":"sha256:6f6590d432f915a4613c47e4a78813b4dea3733e4364675d86240c435ef3650d","target":"record","created_at":"2026-07-14T02:21:28Z","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":"5e9a2b5ea37b48410e833d9377e7998ec3b7dcbac3aed4982f1ccdc0f4820c07","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-01-28T09:37:13Z","title_canon_sha256":"9556ae2863ac688678fe40f07925ba5253855a8c3d3e5cce96c9e212d2966c51"},"schema_version":"1.0","source":{"id":"2601.20430","kind":"arxiv","version":2}},"canonical_sha256":"ee2ff40c85650224d042ebe8ae761bd3d54249a2a24cf6d54eebcbeefe938c6c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ee2ff40c85650224d042ebe8ae761bd3d54249a2a24cf6d54eebcbeefe938c6c","first_computed_at":"2026-07-14T02:21:28.429283Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-14T02:21:28.429283Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rq0inLQ+e4d/MxjWzX/360q5eB6HjjJ7ayUQyyjDWHbNY8d0Qz3wV8Ax9hhU4XzLJRqyZHzhMjp+TKJOXVdbCQ==","signature_status":"signed_v1","signed_at":"2026-07-14T02:21:28.430186Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.20430","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f6590d432f915a4613c47e4a78813b4dea3733e4364675d86240c435ef3650d","sha256:fa53cada7098fc69a866521ac97b78407f5b9bdbbe3c381c11f4e6903ffcb338"],"state_sha256":"a30fcfb9b5dcf964e7052392940b123b1f617ede61d822686989b3a7b43a8669"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"34nBnnhY5Oo1Gq52oozIa3FCnLAnAbdSDx+M9nNeYF/4YjUTYq8i+VaRaNRfLeBC158pUdrKr6oU2rghwNl9CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-27T09:33:04.800603Z","bundle_sha256":"e4fdebcec4b8176a82316561475aee0903847c509af0f17acb2f2c22d7719851"}}