{"as_of":"2026-08-13T15:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:526edd534dcf9030143ef57b0b2774e0649ef8c9fa233767819bd3e65f3dd2ad","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":"2026-08-10T22:10:32.534336Z","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":"2026-08-13T06:32:02.005865+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/2501.02683/citation-record","integrity":"/paper/2501.02683/integrity","json":"/paper/2501.02683/citation-record.json","paper":"/paper/2501.02683"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1508.05326","last_updated":"2015-08-21T16:17:01Z","snapshot_observed_at":"2026-08-10T11:52:49.214145Z","submitted_at":"2015-08-21T16:17:01Z","title":"A large annotated corpus for learning natural language inference","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1508.05326","snapshot_observed_at":"2026-08-10T22:10:32.502441Z","title":"Bowman, Gabor Angeli, Christopher Potts, and Christopher D","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.02683","last_updated":"2025-01-08T01:27:30Z","snapshot_observed_at":"2026-08-12T18:39:17.768827Z","submitted_at":"2025-01-05T23:19:55Z","title":"From Superficial Patterns to Semantic Understanding: Fine-Tuning Language Models on Contrast Sets","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T22:10:32.502441Z"},"links":{"cited_paper":"/paper/1508.05326","citing_paper":"/paper/2501.02683"},"observation_digest":"sha256:b2ee8c5a583a7fb62a09fb4219fd727dd2641069fe5b4a55154a054894f0f273","observation_id":"8ed441b9-03c9-415d-9378-cca4d9944829","resolution":{"observed_at":"2026-08-10T22:10:32.502441Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.10555","last_updated":"2020-03-23T21:17:42Z","snapshot_observed_at":"2026-08-11T12:55:51.308870Z","submitted_at":"2020-03-23T21:17:42Z","title":"ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.10555","snapshot_observed_at":"2026-08-10T22:10:32.508390Z","title":"Le, and Christopher D","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.02683","last_updated":"2025-01-08T01:27:30Z","snapshot_observed_at":"2026-08-12T18:39:17.768827Z","submitted_at":"2025-01-05T23:19:55Z","title":"From Superficial Patterns to Semantic Understanding: Fine-Tuning Language Models on Contrast Sets","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T22:10:32.508390Z"},"links":{"cited_paper":"/paper/2003.10555","citing_paper":"/paper/2501.02683"},"observation_digest":"sha256:7b0c5470540b6c8e1543f53c8924b49bce3517005e09ffc618352520867eb131","observation_id":"064ed052-89a5-4d3e-8d99-72825999a627","resolution":{"observed_at":"2026-08-10T22:10:32.508390Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.02709","last_updated":"2020-10-01T21:26:57Z","snapshot_observed_at":"2026-08-05T12:48:49.186133Z","submitted_at":"2020-04-06T14:47:18Z","title":"Evaluating Models' Local Decision Boundaries via Contrast Sets","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.02709","snapshot_observed_at":"2026-08-10T22:10:32.512905Z","title":"Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.02683","last_updated":"2025-01-08T01:27:30Z","snapshot_observed_at":"2026-08-12T18:39:17.768827Z","submitted_at":"2025-01-05T23:19:55Z","title":"From Superficial Patterns to Semantic Understanding: Fine-Tuning Language Models on Contrast Sets","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T22:10:32.512905Z"},"links":{"cited_paper":"/paper/2004.02709","citing_paper":"/paper/2501.02683"},"observation_digest":"sha256:787fec417af1faa1f06ce89b40051a4b19c629ee963211399323f5cfc8688385","observation_id":"b4995955-934b-44dc-bda9-76164df48f5f","resolution":{"observed_at":"2026-08-10T22:10:32.512905Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.08580","last_updated":"2020-11-12T18:16:58Z","snapshot_observed_at":"2026-08-12T18:39:34.172372Z","submitted_at":"2020-10-16T18:23:05Z","title":"Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.08580","snapshot_observed_at":"2026-08-10T22:10:32.517655Z","title":"Liu, Xinyi Wu, Xuhui Zhou, and Shane Steinert-Threlkeld","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.02683","last_updated":"2025-01-08T01:27:30Z","snapshot_observed_at":"2026-08-12T18:39:17.768827Z","submitted_at":"2025-01-05T23:19:55Z","title":"From Superficial Patterns to Semantic Understanding: Fine-Tuning Language Models on Contrast Sets","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T22:10:32.517655Z"},"links":{"cited_paper":"/paper/2010.08580","citing_paper":"/paper/2501.02683"},"observation_digest":"sha256:f10712b6290ae48a37a713038a5a168f21d20d8dfee48860595b6116aad337ca","observation_id":"6d26aebe-e45c-4845-85dd-dfdd27b0d1cd","resolution":{"observed_at":"2026-08-10T22:10:32.517655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.00692","last_updated":"2018-06-13T23:54:17Z","snapshot_observed_at":"2026-08-10T09:40:26.441908Z","submitted_at":"2018-06-02T19:14:39Z","title":"Stress Test Evaluation for Natural Language Inference","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.00692","snapshot_observed_at":"2026-08-10T22:10:32.524363Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.02683","last_updated":"2025-01-08T01:27:30Z","snapshot_observed_at":"2026-08-12T18:39:17.768827Z","submitted_at":"2025-01-05T23:19:55Z","title":"From Superficial Patterns to Semantic Understanding: Fine-Tuning Language Models on Contrast Sets","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T22:10:32.524363Z"},"links":{"cited_paper":"/paper/1806.00692","citing_paper":"/paper/2501.02683"},"observation_digest":"sha256:61fa0d4846bdfa6f1069363913062ae08cbdcf11c73adcab0fed1e82946efc40","observation_id":"53438550-92c1-486d-b5e5-e1ad1b774c29","resolution":{"observed_at":"2026-08-10T22:10:32.524363Z","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":"2026-08-10T22:10:32.528898Z","title":"URL: \" 'urlintro :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.02683","last_updated":"2025-01-08T01:27:30Z","snapshot_observed_at":"2026-08-12T18:39:17.768827Z","submitted_at":"2025-01-05T23:19:55Z","title":"From Superficial Patterns to Semantic Understanding: Fine-Tuning Language Models on Contrast Sets","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T22:10:32.528898Z"},"links":{"citing_paper":"/paper/2501.02683"},"observation_digest":"sha256:0aba8ce9c87a9e21dba2eca02505519993b4aa08385814c1c2f6eeae27f874c8","observation_id":"023db40a-6767-4124-8128-a0fd609f94d5","resolution":{"observed_at":"2026-08-10T22:10:32.528898Z","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":"2026-08-10T22:10:32.534336Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.02683","last_updated":"2025-01-08T01:27:30Z","snapshot_observed_at":"2026-08-12T18:39:17.768827Z","submitted_at":"2025-01-05T23:19:55Z","title":"From Superficial Patterns to Semantic Understanding: Fine-Tuning Language Models on Contrast Sets","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T22:10:32.534336Z"},"links":{"citing_paper":"/paper/2501.02683"},"observation_digest":"sha256:ea24182e41a1d971612ed63e4be9ffae0ec672a2e83d8d56e25f6ddbea94fbb8","observation_id":"7449f7d3-a370-4606-8bb3-48b90b0bb9d8","resolution":{"observed_at":"2026-08-10T22:10:32.534336Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.02683","last_updated":"2025-01-08T01:27:30Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-12T18:39:17.768827Z","submitted_at":"2025-01-05T23:19:55Z","title":"From Superficial Patterns to Semantic Understanding: Fine-Tuning Language Models on Contrast Sets"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2501.02683."}