{"as_of":"2026-08-17T15:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9b4dff7ab8a0a3433ab5a22cf95643cf78740c24182b8a2a147c16aa2e340e3c","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":"2026-08-17T06:30:58.91139+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":"2026-08-16T04:55:07.984519Z","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":"2026-08-14T05:01:39.579476Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1901.03116","last_updated":"2019-06-02T22:20:06Z","snapshot_observed_at":"2026-08-14T17:32:46.278049Z","submitted_at":"2019-01-10T12:06:31Z","title":"Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.03116","snapshot_observed_at":"2026-08-14T11:36:53.000853Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.09635","last_updated":"2022-01-25T05:42:50Z","snapshot_observed_at":"2026-08-17T09:21:42.493000Z","submitted_at":"2019-08-23T01:22:04Z","title":"A Survey on Bias and Fairness in Machine Learning","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T11:36:53.000853Z"},"links":{"cited_paper":"/paper/1901.03116","citing_paper":"/paper/1908.09635"},"observation_digest":"sha256:04e3c2d5756719a1eeff0ca57539fb4a30cb97c4b33c660cba205dea93789b98","observation_id":"296ce96d-f9b9-47b5-8e33-66eedf292c3d","resolution":{"observed_at":"2026-08-14T11:36:53.000853Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1901.03116","last_updated":"2019-06-02T22:20:06Z","snapshot_observed_at":"2026-08-14T17:32:46.278049Z","submitted_at":"2019-01-10T12:06:31Z","title":"Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques","version":2},"cited_work":{"arxiv_id":"1901.03116","doi":null,"metadata_source":"pith","pith_arxiv_id":"1901.03116","snapshot_observed_at":"2026-08-14T05:01:39.579476Z","title":"Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques","venue":"cs.CL","work_id":"7163db5f-332c-461e-8f2c-51c001d352ec","year":2019},"citing_paper":{"arxiv_id":"1909.02224","last_updated":"2019-09-09T19:22:25Z","snapshot_observed_at":"2026-08-14T04:54:13.077111Z","submitted_at":"2019-09-05T06:20:43Z","title":"Examining Gender Bias in Languages with Grammatical Gender","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-14T05:01:39.502323Z"},"links":{"cited_paper":"/paper/1901.03116","citing_paper":"/paper/1909.02224"},"observation_digest":"sha256:203ae50f8f49c22a9cea244bbcd64cdb6de2e9e8efcac14c6495808d4e313967","observation_id":"f4cf713a-1d86-4453-a390-45aee277b252","resolution":{"observed_at":"2026-08-14T05:01:39.585067Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.03116","last_updated":"2019-06-02T22:20:06Z","snapshot_observed_at":"2026-08-14T17:32:46.278049Z","submitted_at":"2019-01-10T12:06:31Z","title":"Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.03116","snapshot_observed_at":"2026-08-16T04:55:07.984519Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.00144","last_updated":"2025-04-30T19:30:28Z","snapshot_observed_at":"2026-08-16T12:53:20.864747Z","submitted_at":"2025-04-30T19:30:28Z","title":"When Deep Learning Meets Information Retrieval-based Bug Localization: A Survey","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T04:55:07.984519Z"},"links":{"cited_paper":"/paper/1901.03116","citing_paper":"/paper/2505.00144"},"observation_digest":"sha256:6e02ef000bfb3377292bf06c162bbd5b780bc6e066d89def41c3ed7ec7c9ed5e","observation_id":"56667786-338e-4044-a35f-bf6822a857ad","resolution":{"observed_at":"2026-08-16T04:55:07.984519Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1901.03116/citation-record","integrity":"/paper/1901.03116/integrity","json":"/paper/1901.03116/citation-record.json","paper":"/paper/1901.03116"},"outbound":[],"paper":{"arxiv_id":"1901.03116","last_updated":"2019-06-02T22:20:06Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-14T17:32:46.278049Z","submitted_at":"2019-01-10T12:06:31Z","title":"Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1901.03116."}