{"as_of":"2026-08-19T16:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e1953a926cee7e2731fef6324af5cb1cb09135567b5caeaf07f3c7d0598f629f","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T18:50:44.176028Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T15:55:22.866820Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1705.00440","last_updated":"2017-05-01T08:12:15Z","snapshot_observed_at":"2026-08-15T06:36:53.237814Z","submitted_at":"2017-05-01T08:12:15Z","title":"Data Augmentation for Low-Resource Neural Machine Translation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.00440","snapshot_observed_at":"2026-08-12T18:50:44.176028Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.15175","last_updated":"2025-02-22T16:42:03Z","snapshot_observed_at":"2026-08-18T08:04:35.598429Z","submitted_at":"2024-11-18T00:21:14Z","title":"ToxiLab: How Well Do Open-Source LLMs Generate Synthetic Toxicity Data?","version":4},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-12T18:50:44.176028Z"},"links":{"cited_paper":"/paper/1705.00440","citing_paper":"/paper/2411.15175"},"observation_digest":"sha256:4a66bdcc800d273d0660657ec92a0f31abcd671f17e7b905340bde23e0bcd542","observation_id":"6707cc26-4f02-4db6-b164-13564d2b13a5","resolution":{"observed_at":"2026-08-12T18:50:44.176028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1705.00440","last_updated":"2017-05-01T08:12:15Z","snapshot_observed_at":"2026-08-15T06:36:53.237814Z","submitted_at":"2017-05-01T08:12:15Z","title":"Data Augmentation for Low-Resource Neural Machine Translation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.00440","snapshot_observed_at":"2026-08-06T19:46:36.623021Z","title":"Data augmentation for low-resource neural machine translation,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.04660","last_updated":"2025-07-07T04:34:02Z","snapshot_observed_at":"2026-08-16T23:34:59.602389Z","submitted_at":"2025-07-07T04:34:02Z","title":"CP-Dilatation: A Copy-and-Paste Augmentation Method for Preserving the Boundary Context Information of Histopathology Images","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T19:46:36.623021Z"},"links":{"cited_paper":"/paper/1705.00440","citing_paper":"/paper/2507.04660"},"observation_digest":"sha256:b1ff70f7efc14e4cc5202678518ff0fc4861742bc93691456dca14fe38498009","observation_id":"6e8a1d36-263f-4018-90a9-7146287ccd22","resolution":{"observed_at":"2026-08-06T19:46:36.623021Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1705.00440","last_updated":"2017-05-01T08:12:15Z","snapshot_observed_at":"2026-08-15T06:36:53.237814Z","submitted_at":"2017-05-01T08:12:15Z","title":"Data Augmentation for Low-Resource Neural Machine Translation","version":1},"cited_work":{"arxiv_id":"1705.00440","doi":null,"metadata_source":"pith","pith_arxiv_id":"1705.00440","snapshot_observed_at":"2026-08-06T15:55:22.866820Z","title":"Data Augmentation for Low-Resource Neural Machine Translation","venue":"cs.CL","work_id":"ce9a7cbd-2435-420d-90ff-f9fa989a1c43","year":2017},"citing_paper":{"arxiv_id":"2507.14590","last_updated":"2025-07-19T12:23:20Z","snapshot_observed_at":"2026-08-09T16:53:43.867979Z","submitted_at":"2025-07-19T12:23:20Z","title":"Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T15:55:22.701637Z"},"links":{"cited_paper":"/paper/1705.00440","citing_paper":"/paper/2507.14590"},"observation_digest":"sha256:e4ff85c670fff82dc0e4b03b6850f267d09153d66b6c879c31e7d89562d448e3","observation_id":"d9a14a8b-a932-4912-a57a-214d3e77ef4f","resolution":{"observed_at":"2026-08-06T15:55:22.869851Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1705.00440/citation-record","integrity":"/paper/1705.00440/integrity","json":"/paper/1705.00440/citation-record.json","paper":"/paper/1705.00440"},"outbound":[],"paper":{"arxiv_id":"1705.00440","last_updated":"2017-05-01T08:12:15Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-15T06:36:53.237814Z","submitted_at":"2017-05-01T08:12:15Z","title":"Data Augmentation for Low-Resource Neural Machine Translation"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1705.00440."}