{"as_of":"2026-08-21T15:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7db3d6c6b09d033749042f3d1b7ad6abf4164d34d93622045dc79f8ba153f715","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T14:56:47.011515Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.03077/citation-record","integrity":"/paper/2608.03077/integrity","json":"/paper/2608.03077/citation-record.json","paper":"/paper/2608.03077"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:56:46.961523Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03077","last_updated":"2026-08-04T03:42:54Z","snapshot_observed_at":"2026-08-19T08:03:17.758748Z","submitted_at":"2026-08-04T03:42:54Z","title":"PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T14:56:46.961523Z"},"links":{"citing_paper":"/paper/2608.03077"},"observation_digest":"sha256:50a2c10e2c1f15e51d9e5bdb516e787f4f9a00c8b6422613fa5d71a6cd9c6cae","observation_id":"54333c48-7c3d-43a9-95d9-f90da542d764","resolution":{"observed_at":"2026-08-15T14:56:46.961523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:56:46.966566Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03077","last_updated":"2026-08-04T03:42:54Z","snapshot_observed_at":"2026-08-19T08:03:17.758748Z","submitted_at":"2026-08-04T03:42:54Z","title":"PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T14:56:46.966566Z"},"links":{"citing_paper":"/paper/2608.03077"},"observation_digest":"sha256:6c7649e0cf2147100c40fca3dbbf892489931a67cdc9e178139434956132ce6f","observation_id":"cbb2c512-76d4-4809-9cdc-888512ae94b0","resolution":{"observed_at":"2026-08-15T14:56:46.966566Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:56:46.971694Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03077","last_updated":"2026-08-04T03:42:54Z","snapshot_observed_at":"2026-08-19T08:03:17.758748Z","submitted_at":"2026-08-04T03:42:54Z","title":"PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T14:56:46.971694Z"},"links":{"citing_paper":"/paper/2608.03077"},"observation_digest":"sha256:836b0c53b02a50fec258890627b5046ee73aa18d8e1f59f388164c9025ea53be","observation_id":"86b042ed-c959-4d5e-aadc-d5f4790f83dc","resolution":{"observed_at":"2026-08-15T14:56:46.971694Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.21276","last_updated":"2024-10-25T17:43:01Z","snapshot_observed_at":"2026-08-15T14:02:47.366139Z","submitted_at":"2024-10-25T17:43:01Z","title":"GPT-4o System Card","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.21276","snapshot_observed_at":"2026-08-15T14:56:46.944038Z","title":"InProceedings of the 40th International Conference on Machine Learning, volume 202 ofProceedings of Machine Learning Research, pages 26106–26128","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.03077","last_updated":"2026-08-04T03:42:54Z","snapshot_observed_at":"2026-08-19T08:03:17.758748Z","submitted_at":"2026-08-04T03:42:54Z","title":"PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T14:56:46.944038Z"},"links":{"cited_paper":"/paper/2410.21276","citing_paper":"/paper/2608.03077"},"observation_digest":"sha256:8c73a4a94984482bb50b1a1de3407884d2701fb01125ebe32981edbe0e268e1f","observation_id":"32a94604-3f93-4eb0-8288-2de673a309ff","resolution":{"observed_at":"2026-08-15T14:56:46.944038Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.17080","last_updated":"2025-06-20T15:30:06Z","snapshot_observed_at":"2026-08-20T20:26:00.973371Z","submitted_at":"2025-06-20T15:30:06Z","title":"Tower+: Bridging Generality and Translation Specialization in Multilingual LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.17080","snapshot_observed_at":"2026-08-15T14:56:46.949943Z","title":"Transactions of the Association for Computational Linguistics, 13:73–95","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.03077","last_updated":"2026-08-04T03:42:54Z","snapshot_observed_at":"2026-08-19T08:03:17.758748Z","submitted_at":"2026-08-04T03:42:54Z","title":"PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T14:56:46.949943Z"},"links":{"cited_paper":"/paper/2506.17080","citing_paper":"/paper/2608.03077"},"observation_digest":"sha256:b4a72f28cd4e6cbafb98e54ca1ee5091b2453aedbccf979b8bc2c07f9c3ae313","observation_id":"92228a6a-19e6-47f1-bc9f-ea4ba943fe9d","resolution":{"observed_at":"2026-08-15T14:56:46.949943Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:56:47.173764Z","title":"errors\": [ {","venue":null,"work_id":"114ee290-4001-4b7c-bfab-24fa11de2eb4","year":null},"citing_paper":{"arxiv_id":"2608.03077","last_updated":"2026-08-04T03:42:54Z","snapshot_observed_at":"2026-08-19T08:03:17.758748Z","submitted_at":"2026-08-04T03:42:54Z","title":"PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T14:56:46.988427Z"},"links":{"citing_paper":"/paper/2608.03077"},"observation_digest":"sha256:c3a48273da09eb4adb21ae1b93279f2dd42fe8f27051c7c6012f728fbc6669cd","observation_id":"27bbf911-5a1c-4efa-ab23-f0f0efd67482","resolution":{"observed_at":"2026-08-15T14:56:47.178809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:56:47.198080Z","title":"•Non-translation Error: Translation is unassessable and unrelated to the Source","venue":null,"work_id":"bc7ac128-4630-40a7-93a1-c44c19906d7e","year":null},"citing_paper":{"arxiv_id":"2608.03077","last_updated":"2026-08-04T03:42:54Z","snapshot_observed_at":"2026-08-19T08:03:17.758748Z","submitted_at":"2026-08-04T03:42:54Z","title":"PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T14:56:46.976974Z"},"links":{"citing_paper":"/paper/2608.03077"},"observation_digest":"sha256:021715d7a9fd08770f62d0c79ae9d32859dc15a44a2ffa24603093dc3e2bf11b","observation_id":"bf618547-7192-4dae-8c1c-c285229a9454","resolution":{"observed_at":"2026-08-15T14:56:47.205392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:56:46.982551Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03077","last_updated":"2026-08-04T03:42:54Z","snapshot_observed_at":"2026-08-19T08:03:17.758748Z","submitted_at":"2026-08-04T03:42:54Z","title":"PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T14:56:46.982551Z"},"links":{"citing_paper":"/paper/2608.03077"},"observation_digest":"sha256:2e6241933deb3f4368641b24a200c10bc076affe4dc719db3fbd6adf62865fc2","observation_id":"c13b9504-0a0f-4da0-b1f1-7a5c15855a0d","resolution":{"observed_at":"2026-08-15T14:56:46.982551Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:56:46.995541Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03077","last_updated":"2026-08-04T03:42:54Z","snapshot_observed_at":"2026-08-19T08:03:17.758748Z","submitted_at":"2026-08-04T03:42:54Z","title":"PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T14:56:46.995541Z"},"links":{"citing_paper":"/paper/2608.03077"},"observation_digest":"sha256:424e6487b1e9e8943a55e6fb64684b9efe2121813bb37955ae938941cdb091af","observation_id":"00436b06-780b-4800-8f5a-6a5eb3ee185f","resolution":{"observed_at":"2026-08-15T14:56:46.995541Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:56:47.148791Z","title":null,"venue":null,"work_id":"71b1a94d-127b-4444-96f5-e50c8216433a","year":null},"citing_paper":{"arxiv_id":"2608.03077","last_updated":"2026-08-04T03:42:54Z","snapshot_observed_at":"2026-08-19T08:03:17.758748Z","submitted_at":"2026-08-04T03:42:54Z","title":"PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T14:56:47.000974Z"},"links":{"citing_paper":"/paper/2608.03077"},"observation_digest":"sha256:a52edd0ff8e1d11a641ff8fca337b01695cd521afa51806bb864888a883b1175","observation_id":"f60aefbe-83df-4ec8-8f46-7b2214201938","resolution":{"observed_at":"2026-08-15T14:56:47.155249Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:56:47.006515Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03077","last_updated":"2026-08-04T03:42:54Z","snapshot_observed_at":"2026-08-19T08:03:17.758748Z","submitted_at":"2026-08-04T03:42:54Z","title":"PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T14:56:47.006515Z"},"links":{"citing_paper":"/paper/2608.03077"},"observation_digest":"sha256:f223533904be9cb2d5f1666250c03d6eab01a630632335385168352840080496","observation_id":"a5f031da-7fad-4da8-8737-4087d6974f6b","resolution":{"observed_at":"2026-08-15T14:56:47.006515Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:56:47.246969Z","title":"tran- sitional period","venue":null,"work_id":"260f8c88-56fa-4adb-9fb3-673811c9ebf2","year":2023},"citing_paper":{"arxiv_id":"2608.03077","last_updated":"2026-08-04T03:42:54Z","snapshot_observed_at":"2026-08-19T08:03:17.758748Z","submitted_at":"2026-08-04T03:42:54Z","title":"PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T14:56:46.955645Z"},"links":{"citing_paper":"/paper/2608.03077"},"observation_digest":"sha256:d3df2e561dc02bc7522f651dbb444907b1b7c2798a85fe5bdacbd689a0eb29dd","observation_id":"ade3c531-58cf-4172-a49c-62f98b7776aa","resolution":{"observed_at":"2026-08-15T14:56:47.256369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:56:47.120891Z","title":"level\":","venue":null,"work_id":"28c13422-1c8a-424c-a8ba-5fa55af00bb4","year":1999},"citing_paper":{"arxiv_id":"2608.03077","last_updated":"2026-08-04T03:42:54Z","snapshot_observed_at":"2026-08-19T08:03:17.758748Z","submitted_at":"2026-08-04T03:42:54Z","title":"PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T14:56:47.011515Z"},"links":{"citing_paper":"/paper/2608.03077"},"observation_digest":"sha256:706db9c463464d177fc3eb6fb91b8ac2961b5fe40ecfb1aadcb96947d0384a82","observation_id":"1456277e-0b63-4705-b063-5d79314fb02c","resolution":{"observed_at":"2026-08-15T14:56:47.129212Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18629","last_updated":"2024-06-26T17:43:06Z","snapshot_observed_at":"2026-08-06T00:24:52.274888Z","submitted_at":"2024-06-26T17:43:06Z","title":"Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18629","snapshot_observed_at":"2026-08-15T14:56:46.932676Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.03077","last_updated":"2026-08-04T03:42:54Z","snapshot_observed_at":"2026-08-19T08:03:17.758748Z","submitted_at":"2026-08-04T03:42:54Z","title":"PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-15T14:56:46.932676Z"},"links":{"cited_paper":"/paper/2406.18629","citing_paper":"/paper/2608.03077"},"observation_digest":"sha256:938494a856440ca8c179681c78c23b98c2782463ede9cc77e26a30e2c6e74b0b","observation_id":"0e5494c2-1c61-41df-8ec9-96186cc38ff7","resolution":{"observed_at":"2026-08-15T14:56:46.932676Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.20050","last_updated":"2023-05-31T17:24:00Z","snapshot_observed_at":"2026-08-17T09:42:34.746112Z","submitted_at":"2023-05-31T17:24:00Z","title":"Let's Verify Step by Step","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.20050","snapshot_observed_at":"2026-08-15T14:56:46.938930Z","title":"Liangchen Luo, Yinxiao Liu, Rosanne Liu, Samrat Phatale, Meiqi Guo, Harsh Lara, Yunxuan Li, Lei Shu, Yun Zhu, Lei Meng, Jiao Sun, and Abhinav Rastogi","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.03077","last_updated":"2026-08-04T03:42:54Z","snapshot_observed_at":"2026-08-19T08:03:17.758748Z","submitted_at":"2026-08-04T03:42:54Z","title":"PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-15T14:56:46.938930Z"},"links":{"cited_paper":"/paper/2305.20050","citing_paper":"/paper/2608.03077"},"observation_digest":"sha256:8753bb761d520c9ba0b49b7c69a010e02496a9731e967ca5a1dea29fca210f61","observation_id":"146b9939-01ae-442f-b162-eb65b80f0eaa","resolution":{"observed_at":"2026-08-15T14:56:46.938930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-08-15T12:33:55.451951Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-15T14:56:46.927154Z","title":"Jiaxin Guo, Hao Yang, Zongyao Li, Daimeng Wei, Hengchao Shang, and Xiaoyu Chen","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.03077","last_updated":"2026-08-04T03:42:54Z","snapshot_observed_at":"2026-08-19T08:03:17.758748Z","submitted_at":"2026-08-04T03:42:54Z","title":"PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-15T14:56:46.927154Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2608.03077"},"observation_digest":"sha256:9ad0752ae517c655ff692b2101dffbbc5e93ecc8bd0ab312d6f186f4f9e0310c","observation_id":"a549887c-16f2-4b0b-9347-801406694a34","resolution":{"observed_at":"2026-08-15T14:56:46.927154Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.03077","last_updated":"2026-08-04T03:42:54Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-19T08:03:17.758748Z","submitted_at":"2026-08-04T03:42:54Z","title":"PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":0,"verified_fuzzy":4},"total_outbound_references":16},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2608.03077."}