{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DAA4YGRJS4TMQU7DWKJYAJWCKH","short_pith_number":"pith:DAA4YGRJ","canonical_record":{"source":{"id":"2505.20622","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-27T01:59:58Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"7c18591af2f234e9d9b8f135b79bd650049fd0b4d809e81d27740875c711b2b0","abstract_canon_sha256":"4b57d2c2a16b4c2dbeffc4a89cb1625b6f82444aeed5d1abaf18e3c3ab62816b"},"schema_version":"1.0"},"canonical_sha256":"1801cc1a299726c853e3b2938026c251e0ea3696fcb98a1a2610213410ee5949","source":{"kind":"arxiv","id":"2505.20622","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.20622","created_at":"2026-07-05T11:10:15Z"},{"alias_kind":"arxiv_version","alias_value":"2505.20622v1","created_at":"2026-07-05T11:10:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.20622","created_at":"2026-07-05T11:10:15Z"},{"alias_kind":"pith_short_12","alias_value":"DAA4YGRJS4TM","created_at":"2026-07-05T11:10:15Z"},{"alias_kind":"pith_short_16","alias_value":"DAA4YGRJS4TMQU7D","created_at":"2026-07-05T11:10:15Z"},{"alias_kind":"pith_short_8","alias_value":"DAA4YGRJ","created_at":"2026-07-05T11:10:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DAA4YGRJS4TMQU7DWKJYAJWCKH","target":"record","payload":{"canonical_record":{"source":{"id":"2505.20622","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-27T01:59:58Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"7c18591af2f234e9d9b8f135b79bd650049fd0b4d809e81d27740875c711b2b0","abstract_canon_sha256":"4b57d2c2a16b4c2dbeffc4a89cb1625b6f82444aeed5d1abaf18e3c3ab62816b"},"schema_version":"1.0"},"canonical_sha256":"1801cc1a299726c853e3b2938026c251e0ea3696fcb98a1a2610213410ee5949","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:10:15.572265Z","signature_b64":"EZhtp3Sx+AAocqeTP0pjecaTSAnNwchAEff2nZUjoO07U95URKeYJhoxKKbstmAk7Cc7xxqPBsNzyzviIZ+6Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1801cc1a299726c853e3b2938026c251e0ea3696fcb98a1a2610213410ee5949","last_reissued_at":"2026-07-05T11:10:15.571692Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:10:15.571692Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.20622","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":"2026-07-05T11:10:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BJdkcP05xTk4/wlWcyAW/m/f1v+nXAmTXEhyxVkiQ1SKsPafJTBA53EaATXY9gvCWArzTDa+5AUWPKXO+uFMDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:09:52.588276Z"},"content_sha256":"2e66536a30315024d2fc9043e021686d888b54340b53ced382236bef0ff4275e","schema_version":"1.0","event_id":"sha256:2e66536a30315024d2fc9043e021686d888b54340b53ced382236bef0ff4275e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DAA4YGRJS4TMQU7DWKJYAJWCKH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SeqPO-SiMT: Sequential Policy Optimization for Simultaneous Machine Translation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Jiankai Sun, Shanbo Cheng, Ting Xu, Wai Lam, Zhichao Huang","submitted_at":"2025-05-27T01:59:58Z","abstract_excerpt":"We present Sequential Policy Optimization for Simultaneous Machine Translation (SeqPO-SiMT), a new policy optimization framework that defines the simultaneous machine translation (SiMT) task as a sequential decision making problem, incorporating a tailored reward to enhance translation quality while reducing latency. In contrast to popular Reinforcement Learning from Human Feedback (RLHF) methods, such as PPO and DPO, which are typically applied in single-step tasks, SeqPO-SiMT effectively tackles the multi-step SiMT task. This intuitive framework allows the SiMT LLMs to simulate and refine th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.20622","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/2505.20622/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":"2026-07-05T11:10:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"48Hp0hL1aFLChrGhwtmBbl/C6edH4bsEJT92dMVt5DTskMj6NCuGAL4Y4HyiHaAnFxXnh0pBpJozFsC1znmWAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T13:09:52.588787Z"},"content_sha256":"d3db3549c73bfd66dad6c5718f121691931c4e611fc372f25636adbc0469dada","schema_version":"1.0","event_id":"sha256:d3db3549c73bfd66dad6c5718f121691931c4e611fc372f25636adbc0469dada"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DAA4YGRJS4TMQU7DWKJYAJWCKH/bundle.json","state_url":"https://pith.science/pith/DAA4YGRJS4TMQU7DWKJYAJWCKH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DAA4YGRJS4TMQU7DWKJYAJWCKH/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":"2026-08-08T13:09:52Z","links":{"resolver":"https://pith.science/pith/DAA4YGRJS4TMQU7DWKJYAJWCKH","bundle":"https://pith.science/pith/DAA4YGRJS4TMQU7DWKJYAJWCKH/bundle.json","state":"https://pith.science/pith/DAA4YGRJS4TMQU7DWKJYAJWCKH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DAA4YGRJS4TMQU7DWKJYAJWCKH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DAA4YGRJS4TMQU7DWKJYAJWCKH","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":"4b57d2c2a16b4c2dbeffc4a89cb1625b6f82444aeed5d1abaf18e3c3ab62816b","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-27T01:59:58Z","title_canon_sha256":"7c18591af2f234e9d9b8f135b79bd650049fd0b4d809e81d27740875c711b2b0"},"schema_version":"1.0","source":{"id":"2505.20622","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.20622","created_at":"2026-07-05T11:10:15Z"},{"alias_kind":"arxiv_version","alias_value":"2505.20622v1","created_at":"2026-07-05T11:10:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.20622","created_at":"2026-07-05T11:10:15Z"},{"alias_kind":"pith_short_12","alias_value":"DAA4YGRJS4TM","created_at":"2026-07-05T11:10:15Z"},{"alias_kind":"pith_short_16","alias_value":"DAA4YGRJS4TMQU7D","created_at":"2026-07-05T11:10:15Z"},{"alias_kind":"pith_short_8","alias_value":"DAA4YGRJ","created_at":"2026-07-05T11:10:15Z"}],"graph_snapshots":[{"event_id":"sha256:d3db3549c73bfd66dad6c5718f121691931c4e611fc372f25636adbc0469dada","target":"graph","created_at":"2026-07-05T11:10:15Z","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/2505.20622/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present Sequential Policy Optimization for Simultaneous Machine Translation (SeqPO-SiMT), a new policy optimization framework that defines the simultaneous machine translation (SiMT) task as a sequential decision making problem, incorporating a tailored reward to enhance translation quality while reducing latency. In contrast to popular Reinforcement Learning from Human Feedback (RLHF) methods, such as PPO and DPO, which are typically applied in single-step tasks, SeqPO-SiMT effectively tackles the multi-step SiMT task. This intuitive framework allows the SiMT LLMs to simulate and refine th","authors_text":"Jiankai Sun, Shanbo Cheng, Ting Xu, Wai Lam, Zhichao Huang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-27T01:59:58Z","title":"SeqPO-SiMT: Sequential Policy Optimization for Simultaneous Machine Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.20622","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":"sha256:2e66536a30315024d2fc9043e021686d888b54340b53ced382236bef0ff4275e","target":"record","created_at":"2026-07-05T11:10:15Z","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":"4b57d2c2a16b4c2dbeffc4a89cb1625b6f82444aeed5d1abaf18e3c3ab62816b","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-27T01:59:58Z","title_canon_sha256":"7c18591af2f234e9d9b8f135b79bd650049fd0b4d809e81d27740875c711b2b0"},"schema_version":"1.0","source":{"id":"2505.20622","kind":"arxiv","version":1}},"canonical_sha256":"1801cc1a299726c853e3b2938026c251e0ea3696fcb98a1a2610213410ee5949","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1801cc1a299726c853e3b2938026c251e0ea3696fcb98a1a2610213410ee5949","first_computed_at":"2026-07-05T11:10:15.571692Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:10:15.571692Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EZhtp3Sx+AAocqeTP0pjecaTSAnNwchAEff2nZUjoO07U95URKeYJhoxKKbstmAk7Cc7xxqPBsNzyzviIZ+6Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:10:15.572265Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.20622","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2e66536a30315024d2fc9043e021686d888b54340b53ced382236bef0ff4275e","sha256:d3db3549c73bfd66dad6c5718f121691931c4e611fc372f25636adbc0469dada"],"state_sha256":"eb0ce07c11b3b088eab0b4fe1dccd580ffd980bac859ddc587aa0430e1b1f541"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MrvhkTq32oWiMrs7RQJXEWAfHEhjVrU7z3SHnFKOO2TRRmqvxJRxQvNU00i0pIioRYYdM8mYLRUVDqNkHOUUDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T13:09:52.592395Z","bundle_sha256":"0c6d34982a49d9ad90b8ebb106aa6fb7dbb460ca3ac1dd3ce0131eecacff5e89"}}