{"as_of":"2026-08-18T16:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c3d08fb98226325b5574f87986ac8b3ec082dcdacb67a06e33f083bab92cbf47","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T21:25:39.739148Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T07:22:17.567250Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T10:09:44.107220Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"cited_work":{"arxiv_id":"2501.04899","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.04899","snapshot_observed_at":"2026-07-04T10:09:44.107220Z","title":"15 Preprint","venue":null,"work_id":"02776d61-48ef-4835-8f5a-9e7cb8f5bd94","year":2025},"citing_paper":{"arxiv_id":"2510.07794","last_updated":"2026-04-11T16:18:46Z","snapshot_observed_at":"2026-08-11T15:55:44.930856Z","submitted_at":"2025-10-09T05:13:10Z","title":"HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-18T09:27:17.760078Z"},"links":{"cited_paper":"/paper/2501.04899","citing_paper":"/paper/2510.07794"},"observation_digest":"sha256:71025f2fdff8224806bf5deb02400bbe9f37f4a5f1515e6686cf5e32267ca9f8","observation_id":"722b55b0-f51d-4c4c-8afe-3917ddce961b","resolution":{"observed_at":"2026-05-18T09:31:11.973749Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"cited_work":{"arxiv_id":"2501.04899","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.04899","snapshot_observed_at":"2026-07-04T10:09:44.107220Z","title":"15 Preprint","venue":null,"work_id":"02776d61-48ef-4835-8f5a-9e7cb8f5bd94","year":2025},"citing_paper":{"arxiv_id":"2605.29796","last_updated":"2026-05-29T02:17:31Z","snapshot_observed_at":"2026-08-12T22:39:15.306204Z","submitted_at":"2026-05-28T11:45:45Z","title":"SAAS: Self-Aware Reinforcement Learning for Over-Search Mitigation in Agentic Search","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T07:22:17.567250Z"},"links":{"cited_paper":"/paper/2501.04899","citing_paper":"/paper/2605.29796"},"observation_digest":"sha256:708460c1ca6c9ab289d61f2f6611e787e01ce241ef1d28af4fcf48ea255680e3","observation_id":"7ba3f652-3803-4c1e-a138-86abf8e08c36","resolution":{"observed_at":"2026-06-29T07:23:12.535717Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"cited_work":{"arxiv_id":"2501.04899","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.04899","snapshot_observed_at":"2026-07-04T10:09:44.107220Z","title":"15 Preprint","venue":null,"work_id":"02776d61-48ef-4835-8f5a-9e7cb8f5bd94","year":2025},"citing_paper":{"arxiv_id":"2606.04612","last_updated":"2026-06-03T08:49:15Z","snapshot_observed_at":"2026-08-06T10:02:28.129011Z","submitted_at":"2026-06-03T08:49:15Z","title":"Hybrid Adversarial Defence for Natural Language Understanding Tasks","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-06-28T06:55:02.191691Z"},"links":{"cited_paper":"/paper/2501.04899","citing_paper":"/paper/2606.04612"},"observation_digest":"sha256:ca4403e821e806a870bc717283a7dca7a4999b95d304ac89ef1de491d2ee7963","observation_id":"da65a190-98ad-4a0c-8759-abea5a2eeb8d","resolution":{"observed_at":"2026-07-02T07:26:46.318091Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"cited_work":{"arxiv_id":"2501.04899","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.04899","snapshot_observed_at":"2026-07-04T10:09:44.107220Z","title":"15 Preprint","venue":null,"work_id":"02776d61-48ef-4835-8f5a-9e7cb8f5bd94","year":2025},"citing_paper":{"arxiv_id":"2606.22728","last_updated":"2026-06-22T00:08:00Z","snapshot_observed_at":"2026-08-16T11:58:23.919653Z","submitted_at":"2026-06-22T00:08:00Z","title":"When Confidence Takes the Wrong Path: Diagnosing Retrieval-State Lock-In in RAG","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-06-26T09:10:58.722292Z"},"links":{"cited_paper":"/paper/2501.04899","citing_paper":"/paper/2606.22728"},"observation_digest":"sha256:49208412929e556f2ce48b9ca490e7835431c01dc0a6ecd96eb45180f83ce599","observation_id":"95aa41d7-d0f9-4123-907a-ae6053fc653b","resolution":{"observed_at":"2026-07-04T10:09:44.108988Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.04899/citation-record","integrity":"/paper/2501.04899/integrity","json":"/paper/2501.04899/citation-record.json","paper":"/paper/2501.04899"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:25:40.205708Z","title":"Language models are few-shot learners,","venue":null,"work_id":"9bf3d423-a32e-40b0-a331-130527367720","year":2020},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.596655Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:d24a9357a5cefabd598266c4982be645cb4eca0b7274e9b3bc3639398796bbe0","observation_id":"66d7bfb3-7136-44c8-85c7-93b22b4d5d30","resolution":{"observed_at":"2026-08-10T21:25:40.208939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-17T09:58:46.058102Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-10T21:25:39.600816Z","title":"Gpt-4 technical report,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.600816Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:106479133c3f64eafbedc017af6bb6143e5daf4bab10fd763c709fb26d5dc71d","observation_id":"4c3d7bc4-33fb-4e37-a0e7-d85a0304ab61","resolution":{"observed_at":"2026-08-10T21:25:39.600816Z","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":"2026-08-10T21:25:40.196834Z","title":"Training language models to follow instructions with human feedback,","venue":null,"work_id":"8884b4b5-9440-42dd-87e6-2c0d661d1405","year":2022},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.604546Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:bcc6234d6a5977a75c992763df21182c6fecf658447b05023b49b55aee7711d6","observation_id":"231f2687-d248-4345-abb5-9db63051f524","resolution":{"observed_at":"2026-08-10T21:25:40.199683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.06196","last_updated":"2025-03-23T14:51:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-09T05:37:09Z","title":"Large Language Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.06196","snapshot_observed_at":"2026-08-10T21:25:39.608736Z","title":"Large language models: A survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.608736Z"},"links":{"cited_paper":"/paper/2402.06196","citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:152453ce4b3ee87ababf55cd93e42f5479eb8f95bb343a2db5e3f86d7c68f2c0","observation_id":"9fe99715-3235-448d-a85e-2bd859a40c6d","resolution":{"observed_at":"2026-08-10T21:25:39.608736Z","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":"2026-08-10T21:25:40.186480Z","title":"When not to trust language models: Investigating effectiveness of parametric and non-parametric memories,","venue":null,"work_id":"6c3c7fe1-cdb6-457a-8870-98c690980217","year":2023},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.613835Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:14a54cd5e7ec592223608c03204c38e23b3e048ba98a588aec312f7a17214582","observation_id":"82faee24-92fc-40e8-8cd4-7f6c322e16d7","resolution":{"observed_at":"2026-08-10T21:25:40.189985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10997","last_updated":"2024-03-27T09:16:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-18T07:47:33Z","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.10997","snapshot_observed_at":"2026-08-10T21:25:39.617794Z","title":"Retrieval-augmented generation for large language models: A survey,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.617794Z"},"links":{"cited_paper":"/paper/2312.10997","citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:452850890ad6d73ed54da39c137c294d2dcc57622a4930bc15508e6c90f3781c","observation_id":"8a3c01d8-0412-4e7d-a86a-7ecb76d96a12","resolution":{"observed_at":"2026-08-10T21:25:39.617794Z","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":"2026-08-10T21:25:40.172424Z","title":"Unsupervised dense information retrieval with con- trastive learning,","venue":null,"work_id":"b47bd1ca-d81d-4c8e-8e09-db12f2ef17ba","year":2022},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.622095Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:8b62da8666fe801377987a57aed70b98188f3101eaf1d01ae7d20971c41f89e4","observation_id":"4b8f9174-1bad-4fd4-9094-91e6931877e8","resolution":{"observed_at":"2026-08-10T21:25:40.179258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:40.159833Z","title":"Realm: retrieval-augmented language model pre-training,","venue":null,"work_id":"0aaf909e-5542-4f72-b5ba-d2e9e8d190ca","year":2020},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.625695Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:6ce96f23a20d8861f5453050fc94ac0580213cb9e32c57a3ff151e5ca071240c","observation_id":"a33da58d-7d1e-48c8-bb8d-6bd0f704a03f","resolution":{"observed_at":"2026-08-10T21:25:40.163994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:40.146667Z","title":"Retrieval-augmented generation for knowledge-intensive nlp tasks,","venue":null,"work_id":"f58640f6-6ffd-48b2-9289-8c127d4672ef","year":2020},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.629263Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:ca07d4e04992a656fc58f64567b56a6aec14d148b3c093dccc2a3e8484aa3875","observation_id":"799f71e6-8f6c-48fb-9fbe-fd7d34e5e3cc","resolution":{"observed_at":"2026-08-10T21:25:40.152193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:40.135588Z","title":"Adaptive-rag: Learning to adapt retrieval-augmented large language models through question complexity,","venue":null,"work_id":"552f593b-6ed7-4582-bc6a-c6bccc76f727","year":2024},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.632702Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:1f7fdeb65ba578b810521cd1f80e7c0bd89342fc4a1b83cef467c0a5c7580d82","observation_id":"2c853169-f704-453c-b090-b6eed3b6a3e7","resolution":{"observed_at":"2026-08-10T21:25:40.139509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:40.125557Z","title":"Large language models can be easily distracted by irrelevant context,","venue":null,"work_id":"d6196e98-8aa6-4ab9-96ca-bd15abcd911c","year":2023},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.636151Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:247dade44953d4c43241bb72e7d4757c7ae3154f4f2bc4d1594d200f1ab097f2","observation_id":"0dbd12ae-3850-4a56-abbf-c3d916d38992","resolution":{"observed_at":"2026-08-10T21:25:40.128943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03728","last_updated":"2023-04-07T16:47:49Z","snapshot_observed_at":"2026-08-16T15:41:59.339248Z","submitted_at":"2023-04-07T16:47:49Z","title":"Interpretable Unified Language Checking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03728","snapshot_observed_at":"2026-08-10T21:25:39.639986Z","title":"Interpretable unified language checking,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.639986Z"},"links":{"cited_paper":"/paper/2304.03728","citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:2b50150d7d748f8ffda79bf4308b4cc3fbb607c0d32ec611ad7e43d9ce7cb53e","observation_id":"991c8bd2-6fa9-415d-ae5a-16e776c27a5d","resolution":{"observed_at":"2026-08-10T21:25:39.639986Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.10198","last_updated":"2025-02-07T05:11:18Z","snapshot_observed_at":"2026-08-16T14:00:39.669211Z","submitted_at":"2024-04-16T00:43:03Z","title":"ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.10198","snapshot_observed_at":"2026-08-10T21:25:39.643476Z","title":"Clasheval: Quantifying the tug-of-war between an llm’s internal prior and external evidence,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.643476Z"},"links":{"cited_paper":"/paper/2404.10198","citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:a999fea4807a0c6491ebb9493aef1faca25bf1a9590110c9107820c10b4c0d7e","observation_id":"e9ee4592-48e4-4a44-a399-bbd1878a90d9","resolution":{"observed_at":"2026-08-10T21:25:39.643476Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19010","last_updated":"2024-05-29T11:48:27Z","snapshot_observed_at":"2026-08-17T16:07:03.981774Z","submitted_at":"2024-05-29T11:48:27Z","title":"Evaluating the External and Parametric Knowledge Fusion of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.19010","snapshot_observed_at":"2026-08-10T21:25:39.647817Z","title":"Evaluating the external and parametric knowledge fusion of large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.647817Z"},"links":{"cited_paper":"/paper/2405.19010","citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:fbeb9705c01005847e1824d95f5d4917e88164743ce689c3089c6fe16b54f6eb","observation_id":"88c9bbd9-7fdb-4219-9072-f7c800c0215d","resolution":{"observed_at":"2026-08-10T21:25:39.647817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12824","last_updated":"2024-06-18T17:46:08Z","snapshot_observed_at":"2026-08-16T13:41:44.321017Z","submitted_at":"2024-06-18T17:46:08Z","title":"From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.12824","snapshot_observed_at":"2026-08-10T21:25:39.651228Z","title":"From rags to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.651228Z"},"links":{"cited_paper":"/paper/2406.12824","citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:1480f48d291052aa6752e7cd406e1cd4dddf433ee93c4a2f7e6495ee89905ddf","observation_id":"01e0711e-5dc5-426a-8eeb-b5a9ad7c5ac2","resolution":{"observed_at":"2026-08-10T21:25:39.651228Z","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":"2026-08-10T21:25:40.113733Z","title":"Why so gullible? enhancing the robustness of retrieval-augmented models against counterfactual noise,","venue":null,"work_id":"4bee25c0-1e89-4923-982c-e3339205c2cf","year":2024},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.654921Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:60d7ce2d58776f4441d78aa91ec8de5af1c7d92b82654d24045646b9643390cd","observation_id":"87b29721-095e-462f-bb6d-d80039aa0117","resolution":{"observed_at":"2026-08-10T21:25:40.118001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:40.099634Z","title":"Don’t hallucinate, abstain: Identifying llm knowledge gaps via multi- llm collaboration,","venue":null,"work_id":"9237ac3e-ae67-41d7-9b7b-6263930b432a","year":2024},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.658607Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:fa5fed845902d54b34322aed863cb576e929bb5162af0297cdeef5694e7e2e48","observation_id":"748f6bfe-63f2-4819-840c-8bba796cd704","resolution":{"observed_at":"2026-08-10T21:25:40.104380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:40.083756Z","title":"An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions,","venue":null,"work_id":"6b16ae85-529c-4397-af60-236739da7ea4","year":2020},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.661992Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:e7c949b1181081186dd900b4a69853d231350e605604f5fe18312e3a1cb9b0fd","observation_id":"94492c85-b62c-4ec8-a2a5-fffe81939535","resolution":{"observed_at":"2026-08-10T21:25:40.089308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:40.067006Z","title":"Text extraction in mpeg compressed video for context-based indexing,","venue":null,"work_id":"35c31ee1-03dd-4ef3-8f72-9a9fcea16319","year":2000},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.665861Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:007dd9e9cbfd40ed595faa5eb2767bf1493b1ad864844d5b592e320a157ef7c8","observation_id":"86486094-7358-416c-a102-fa0ac1887288","resolution":{"observed_at":"2026-08-10T21:25:40.074391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:40.054861Z","title":"A multi-view cnn with novel variance layer for motor imagery brain computer interface,","venue":null,"work_id":"18170b8b-dae5-4b1f-a599-9c187e8f3f89","year":2020},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.670019Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:4acda9dbf4bf127814edb1eea53dab7d9406845f120a6fb329c9a1377b8dd39c","observation_id":"3026f34d-bcb3-411a-955e-70b6395c2a84","resolution":{"observed_at":"2026-08-10T21:25:40.058930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:40.044937Z","title":"Classification of drowsiness levels based on a deep spatio-temporal convolutional bidirectional lstm network using electroencephalography signals,","venue":null,"work_id":"3c7344b4-6efc-498a-b890-fd0a2b1e87c8","year":2019},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.673415Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:4cd0e4c1c740bc1a78354beca2b1b6121e3ece73c2101e84af7e84395da7cd75","observation_id":"14769453-34b6-4108-945f-ae029bea277b","resolution":{"observed_at":"2026-08-10T21:25:40.048630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:40.034410Z","title":"Reconstruction of 3d human body pose from stereo image sequences based on top-down learning,","venue":null,"work_id":"1353221e-b6f7-4288-8c0e-c09718fd481f","year":2007},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.678200Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:d4d6ff9ba86dd080379205431ea63b035d96d12ea93836d8df8860221702b986","observation_id":"b3cf7952-73b7-48fd-a4c2-5b5938c27e69","resolution":{"observed_at":"2026-08-10T21:25:40.038402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:40.023060Z","title":"Self-rag: Learning to retrieve, generate, and critique through self-reflection,","venue":null,"work_id":"a6f9f964-8029-475a-9d9d-f0db4c632076","year":2024},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.682230Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:909407e3e63da38baf890fa59fd0d90ae1f2606090e2cef027e93604b4707185","observation_id":"ba64c97f-b3b6-4639-9555-9d9e584ccb4b","resolution":{"observed_at":"2026-08-10T21:25:40.026842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:40.010213Z","title":"The web can be your oyster for improving large language models,","venue":null,"work_id":"999e5f9c-ebaa-4579-8836-a972c0ccc530","year":2023},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.686672Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:7c11e493b44c0d693d845dfa1972460dcc94f042fa3e885bcd313bfd38192209","observation_id":"02f4e635-74fd-48fd-8a43-920748441433","resolution":{"observed_at":"2026-08-10T21:25:40.014395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:39.996177Z","title":"Active retrieval augmented generation,","venue":null,"work_id":"549a8358-b7d9-43d3-8097-ae8021928c16","year":2023},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.691633Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:32fe15286f3c2298aeb9873f5304301279ffa8c422332b963885d6395db1e932","observation_id":"fc33cd0d-f92a-477b-bb3d-7aa7ff24a951","resolution":{"observed_at":"2026-08-10T21:25:40.000298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:39.982568Z","title":"Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi- step questions,","venue":null,"work_id":"26719312-7662-464a-9626-af4e15f6e82c","year":2023},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.696858Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:eaf2c4e6c4a2e0cc6c2fcbbd3207b993af581edd4afaefb84ab838feb6b47200","observation_id":"4c4775a2-f1d2-4e84-aa3e-dbbb327b35d6","resolution":{"observed_at":"2026-08-10T21:25:39.987770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:39.969152Z","title":"A semantic similarity approach to paraphrase detection,","venue":null,"work_id":"b3d8b7ab-41a7-4bdf-a883-d364504ea494","year":2008},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.700740Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:7cffe5de6d6c52393dbf041bafdf4d80598b3c4adea942240136482e09ec5ed4","observation_id":"3f4dbc66-459a-4a27-8b66-e1e43c00a329","resolution":{"observed_at":"2026-08-10T21:25:39.973135Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:39.958691Z","title":"Surface form competition: Why the highest probability answer isn’t always right,","venue":null,"work_id":"633e5c9b-3b86-4348-8267-632be74632e2","year":2021},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.704279Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:275e35951795d3e8b4d32c571b7d49441985892d1b000ad4584b099799bf6531","observation_id":"06b95a8d-0250-45cf-8c22-95bbbbc27b37","resolution":{"observed_at":"2026-08-10T21:25:39.962530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:39.947766Z","title":"Semantic uncertainty: Linguistic invariances for uncertainty estimation in natural language generation,","venue":null,"work_id":"444f3164-adc0-4c49-be7a-1bf0810b87bb","year":2023},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.707771Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:859f574145f8826e9f2a9552e7677c5453223afec2393c7e63dcd423abc6ec10","observation_id":"4e3ceda6-6da2-4600-b85c-bb82aecc7b91","resolution":{"observed_at":"2026-08-10T21:25:39.951852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:39.935149Z","title":"Self-knowledge guided retrieval augmentation for large language models,","venue":null,"work_id":"e4d819e1-775d-4dab-bb02-47e9a42e82e9","year":2023},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.711408Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:d7c1aa4019eab361e6ac23d88aeb01b2f479372dd98f9aae8fdcbb904e471201","observation_id":"5ac0c814-ee88-4ba9-916d-d915d60f5a69","resolution":{"observed_at":"2026-08-10T21:25:39.940633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:39.923443Z","title":"Adaptation with self-evaluation to improve selective prediction in llms,","venue":null,"work_id":"2d9013d0-dcfa-4271-a676-7f2382e7c7f0","year":2023},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.715338Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:518942c3be8081c8fcd8c9b3edf411e99f29fe9f53f5f9912bc099c1cc76a110","observation_id":"6ab6442a-dd9f-45d0-9fa0-aa179a239ec6","resolution":{"observed_at":"2026-08-10T21:25:39.927559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:39.910956Z","title":"Squad: 100,000+ questions for machine comprehension of text,","venue":null,"work_id":"0e1d1305-4258-4fcd-b8a2-8d5a87f04b68","year":2016},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.718855Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:48024e4fabfd4a1affe5eb1c5361975c431cced192c551329f89a77c20d1f76e","observation_id":"9f228102-1a1a-4b27-806e-bec256c6769d","resolution":{"observed_at":"2026-08-10T21:25:39.915143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:39.899155Z","title":"Natural questions: A benchmark for question an- swering research,","venue":null,"work_id":"063d5abf-15a5-4448-bd39-477e32e6fc4e","year":2019},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.723136Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:c74d0e0e53380ce6d54d6c8249fa3ef5cceb5dd458d62475e5921c66bd48d4df","observation_id":"7e9a1758-37c6-4577-afb3-c16502be4f14","resolution":{"observed_at":"2026-08-10T21:25:39.902578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:39.890649Z","title":"Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension,","venue":null,"work_id":"1fb7dcb1-70f6-4be5-a074-acb8b95c008a","year":2017},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.725763Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:f324f11250d2f58ebd0d37daa2e4a00047160e56e50b2995b47511170de237fc","observation_id":"6aed3acf-0e12-4fb8-a48e-39d56916ff3f","resolution":{"observed_at":"2026-08-10T21:25:39.893563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:39.881639Z","title":"Hotpotqa: A dataset for diverse, explainable multi- hop question answering,","venue":null,"work_id":"1c08dd02-3326-42c8-b545-dd3d5ae46251","year":2018},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.728768Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:f995dde8eac095e5d8603bc818bac0045ce4f35842824bf3c4d72b80759b08e4","observation_id":"b01b953b-542f-44f9-b7cd-285fb0a87cad","resolution":{"observed_at":"2026-08-10T21:25:39.884916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-10T21:25:39.869130Z","title":"Constructing a multi-hop qa dataset for comprehensive evaluation of reasoning steps,","venue":null,"work_id":"c95f397f-303c-4fd0-81b2-c6654be53997","year":2020},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.732019Z"},"links":{"citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:81c2277957f5736e37c82af29ba11f63dcb396595c36ebc79ac74c3fa7358da9","observation_id":"c0b06c93-5cf1-41fe-9ec1-073cc444a62f","resolution":{"observed_at":"2026-08-10T21:25:39.874916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.11416","last_updated":"2022-12-06T21:39:48Z","snapshot_observed_at":"2026-08-17T10:20:11.128461Z","submitted_at":"2022-10-20T16:58:32Z","title":"Scaling Instruction-Finetuned Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.11416","snapshot_observed_at":"2026-08-10T21:25:39.735244Z","title":"Scaling instruction-finetuned language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.735244Z"},"links":{"cited_paper":"/paper/2210.11416","citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:e016a9a9af96827c377525486822b99c488cafe895b81949ce141a96e87f3c49","observation_id":"e5c447fc-4377-4697-8c2b-f99002f022c3","resolution":{"observed_at":"2026-08-10T21:25:39.735244Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-10T21:25:39.739148Z","title":"Llama 2: Open foundation and fine-tuned chat models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T21:25:39.739148Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2501.04899"},"observation_digest":"sha256:7b00eb60dddfe04b73fcbbefe8e43f9be2f0248907b8da2a77243ea11d09bded","observation_id":"b80731ab-c5f8-41d3-8977-6271884c44a2","resolution":{"observed_at":"2026-08-10T21:25:39.739148Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.04899","last_updated":"2025-01-09T01:24:59Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-12T22:39:45.376516Z","submitted_at":"2025-01-09T01:24:59Z","title":"SUGAR: Leveraging Contextual Confidence for Smarter Retrieval"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":29},"total_outbound_references":38},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 4 inbound Pith citation observations for arXiv:2501.04899."}