{"as_of":"2026-08-06T10:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:94f1c9169342263b22d5da0313f01096f5f4db8989b3e2dc270bc416f7e54d54","coverage":[{"denominator":7,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T21:30:58.940530Z","state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+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/2606.00020/citation-record","integrity":"/paper/2606.00020/integrity","json":"/paper/2606.00020/citation-record.json","paper":"/paper/2606.00020"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.18938","last_updated":"2025-08-11T14:10:45Z","snapshot_observed_at":"2026-07-06T21:15:11.912919Z","submitted_at":"2025-04-26T14:48:44Z","title":"RAIR: Retrieval-Augmented Iterative Refinement for Chinese Spelling Correction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.18938","snapshot_observed_at":"2026-07-12T21:30:58.940530Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.00020","last_updated":"2026-04-14T02:06:38Z","snapshot_observed_at":"2026-07-12T21:30:52.582249Z","submitted_at":"2026-04-14T02:06:38Z","title":"CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-12T21:30:58.940530Z"},"links":{"cited_paper":"/paper/2504.18938","citing_paper":"/paper/2606.00020"},"observation_digest":"sha256:5230f3bb4e87220466c6a014520c105aff157b327cc8bfc516ffadc93e2755b9","observation_id":"2f1f4b69-ba44-47b2-aafd-861cb60c2a70","resolution":{"observed_at":"2026-07-12T21:30:58.940530Z","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":"2026-07-12T21:30:58.940530Z","title":"In2020 IEEE 6th Interna- tional Conference on Computer and Communications (ICCC), pages 1146–1150","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.00020","last_updated":"2026-04-14T02:06:38Z","snapshot_observed_at":"2026-07-12T21:30:52.582249Z","submitted_at":"2026-04-14T02:06:38Z","title":"CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-12T21:30:58.940530Z"},"links":{"citing_paper":"/paper/2606.00020"},"observation_digest":"sha256:7fb96dc6f21b757825a1c7f7612ccb22816425f80e8334ce81bcff8086fadebc","observation_id":"c3f1c070-57bf-4612-a97c-c03f507d3d10","resolution":{"observed_at":"2026-07-12T21:30:58.940530Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-07-12T21:30:58.940530Z","title":"I today ate one ping-guo","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2606.00020","last_updated":"2026-04-14T02:06:38Z","snapshot_observed_at":"2026-07-12T21:30:52.582249Z","submitted_at":"2026-04-14T02:06:38Z","title":"CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-12T21:30:58.940530Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2606.00020"},"observation_digest":"sha256:3d7cf9d05127fd03a0801456ec5fa059c15fdfd8d7be415680a0874b28407bfa","observation_id":"2a2238df-e3b3-4a13-949c-dfc22b51db91","resolution":{"observed_at":"2026-07-12T21:30:58.940530Z","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":"2026-07-12T21:30:58.940530Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00020","last_updated":"2026-04-14T02:06:38Z","snapshot_observed_at":"2026-07-12T21:30:52.582249Z","submitted_at":"2026-04-14T02:06:38Z","title":"CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-12T21:30:58.940530Z"},"links":{"citing_paper":"/paper/2606.00020"},"observation_digest":"sha256:044a9c4ba3b77ae819e8d4fdafa5e815fbfaef7e62fdbb3ec7d6a686d6b349f2","observation_id":"74c42f7e-af7d-4e3e-bef8-120475dc0ae4","resolution":{"observed_at":"2026-07-12T21:30:58.940530Z","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":"2026-07-12T21:30:58.940530Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00020","last_updated":"2026-04-14T02:06:38Z","snapshot_observed_at":"2026-07-12T21:30:52.582249Z","submitted_at":"2026-04-14T02:06:38Z","title":"CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-12T21:30:58.940530Z"},"links":{"citing_paper":"/paper/2606.00020"},"observation_digest":"sha256:cdeca76ce424f78c8537358c173f01aaf6a24207288d6bd12e5de5410349b43a","observation_id":"21cf0928-e666-429a-9895-366734ef7175","resolution":{"observed_at":"2026-07-12T21:30:58.940530Z","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":"2026-07-12T21:30:58.940530Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00020","last_updated":"2026-04-14T02:06:38Z","snapshot_observed_at":"2026-07-12T21:30:52.582249Z","submitted_at":"2026-04-14T02:06:38Z","title":"CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-12T21:30:58.940530Z"},"links":{"citing_paper":"/paper/2606.00020"},"observation_digest":"sha256:8e78d2fd02409a9a82b3591d602dbc9d31053561e9fac9a3cd164c3e9a9b40dc","observation_id":"2217447b-492b-4fdb-a93e-f068f9a6b200","resolution":{"observed_at":"2026-07-12T21:30:58.940530Z","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":"2026-07-12T21:30:58.940530Z","title":"The original sentence has errors, the corrected sentence fixes them","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.00020","last_updated":"2026-04-14T02:06:38Z","snapshot_observed_at":"2026-07-12T21:30:52.582249Z","submitted_at":"2026-04-14T02:06:38Z","title":"CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-12T21:30:58.940530Z"},"links":{"citing_paper":"/paper/2606.00020"},"observation_digest":"sha256:792a2212cfee9a6743aca60ae1e9ac0fff3c1a6e0af8cdd65ead4fa2882e88b9","observation_id":"4f22d5fb-0491-4dce-80a0-5ad523557efc","resolution":{"observed_at":"2026-07-12T21:30:58.940530Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.00020","last_updated":"2026-04-14T02:06:38Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-12T21:30:52.582249Z","submitted_at":"2026-04-14T02:06:38Z","title":"CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards"},"reference_resolution":{"displayed":7,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":7},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2606.00020."}