{"as_of":"2026-08-08T11:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:de3281c274b3d47e877780ebaf9a2da0e32610069b3b2b7cdf1390a9e89d6364","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T11:01:54.612434Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2507.23211/citation-record","integrity":"/paper/2507.23211/integrity","json":"/paper/2507.23211/citation-record.json","paper":"/paper/2507.23211"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.02437","last_updated":"2022-12-05T17:25:15Z","snapshot_observed_at":"2026-08-01T06:34:31.316887Z","submitted_at":"2022-12-05T17:25:15Z","title":"In-context Examples Selection for Machine Translation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.02437","snapshot_observed_at":"2026-08-06T11:01:54.431180Z","title":"arXiv preprint arXiv:2212.02437 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.431180Z"},"links":{"cited_paper":"/paper/2212.02437","citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:f85ab35c8294fd8ed22a630165f1dd7b12bc8a81dcbad1c5e9d82fb5b9e632db","observation_id":"6a64f11b-f352-413e-8dce-d510434d0d57","resolution":{"observed_at":"2026-08-06T11:01:54.431180Z","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":"2026-08-06T11:01:55.236084Z","title":"In: Findings of the Asso ciation for Computational Linguistics: EMNLP 2024","venue":null,"work_id":"58b29316-c0ff-4d09-89de-412d00b14ed6","year":2024},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.439256Z"},"links":{"citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:cb4ca40e383e24ffb4c49dfd05178b58a70d448fa3e321f4239278c09a730f94","observation_id":"131b225f-0279-43c6-86c8-d0cc4b841d2a","resolution":{"observed_at":"2026-08-06T11:01:55.240851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.20689","last_updated":"2024-03-29T07:17:39Z","snapshot_observed_at":"2026-08-07T10:31:33.290602Z","submitted_at":"2023-10-31T17:52:22Z","title":"Learning From Mistakes Makes LLM Better Reasoner","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.20689","snapshot_observed_at":"2026-08-06T11:01:54.451947Z","title":"arXiv preprint arXiv:2310.20689 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.451947Z"},"links":{"cited_paper":"/paper/2310.20689","citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:32a79eea58622ec2ca59ebd600d6a4f6af0407c3797cc8dce21336b3fae1803f","observation_id":"c723450e-6244-4637-a420-131d7bf931e3","resolution":{"observed_at":"2026-08-06T11:01:54.451947Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.12588","last_updated":"2023-10-23T01:27:38Z","snapshot_observed_at":"2026-08-02T13:06:11.850456Z","submitted_at":"2022-11-22T21:06:00Z","title":"Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.12588","snapshot_observed_at":"2026-08-06T11:01:54.459186Z","title":"arXiv pr eprint arXiv:2211.12588 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.459186Z"},"links":{"cited_paper":"/paper/2211.12588","citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:f57d02bc18f4dad8c0c565b995c60a1227e33d0ac9da13456d7f8d17fe3ecc50","observation_id":"9a46ad40-0ce2-464e-a155-57396ff235fb","resolution":{"observed_at":"2026-08-06T11:01:54.459186Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14168","last_updated":"2021-11-18T00:23:45Z","snapshot_observed_at":"2026-08-07T01:45:38.840969Z","submitted_at":"2021-10-27T04:49:45Z","title":"Training Verifiers to Solve Math Word Problems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.14168","snapshot_observed_at":"2026-08-06T11:01:54.467949Z","title":"arXiv preprint arXiv:2110.14168 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.467949Z"},"links":{"cited_paper":"/paper/2110.14168","citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:ff26e9cbd0c214cd5383a87538614b9a7363dd39d1699bc38f97d893ed2d9216","observation_id":"b75aea19-1c1e-4592-90ab-1172d1268f1d","resolution":{"observed_at":"2026-08-06T11:01:54.467949Z","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":"2026-08-06T11:01:55.219418Z","title":"T ransactions of the Association for Computa- tional Linguistics 9, 346–361 (2021)","venue":null,"work_id":"8ef0f9cd-8e85-4413-9b8b-754a7024d161","year":2021},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.474170Z"},"links":{"citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:73d037eb64d142cd24ec03fdc805bb19684ef71125dee33917d104121967787c","observation_id":"5c418d35-dfb0-42a9-aba3-03858334cf2a","resolution":{"observed_at":"2026-08-06T11:01:55.224747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T11:01:55.198091Z","title":": Learning to solve arithmetic word problems with verb categorization","venue":null,"work_id":"f01a6f29-299c-4f60-aedf-c98dbe197787","year":2014},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.479813Z"},"links":{"citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:8fdc2df832671d25b5d3524b2fd9b6c85b4f90ba7492ab36fb4b7c280b35449f","observation_id":"5f47ce44-d296-41ea-8d0c-28acf799aa52","resolution":{"observed_at":"2026-08-06T11:01:55.204176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T11:01:55.182336Z","title":"Advances in neural information processing systems 35, 22199–22213 (2022) Title Suppressed Due to Excessive Length 9","venue":null,"work_id":"3007140d-fa92-490e-8458-84d895fff243","year":2022},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.484729Z"},"links":{"citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:6dca8c809d7d081a02012c65f703ea713d719baf85b64785c4609c8486055a12","observation_id":"a3187f4c-d52a-4aa9-93c3-1ea6956966b9","resolution":{"observed_at":"2026-08-06T11:01:55.187319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T11:01:55.165798Z","title":"Transactions of the Association f or Computational Linguistics 3, 585–597 (2015)","venue":null,"work_id":"7b018b97-e844-4f7e-bce8-23f19f38db76","year":2015},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.490111Z"},"links":{"citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:f8da7f5bda26e8cb2e7788a114a4d268a083991a74e1fc386d240a18c1d64d1b","observation_id":"4fedfe90-def9-409d-97de-4ea7ef395b7c","resolution":{"observed_at":"2026-08-06T11:01:55.171159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T11:01:55.149041Z","title":"CoRR (2023)","venue":null,"work_id":"7ff0dc4d-ec7d-41fe-99a3-070e46d2da45","year":2023},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.496732Z"},"links":{"citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:54bcc339e9ce686a2c2a762aa4f987564ca3dd8d203b3e5f05ec18f36bbcd3e7","observation_id":"ba9493e1-2fef-47d4-bd99-c86c54ed1aca","resolution":{"observed_at":"2026-08-06T11:01:55.154049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T11:01:55.131049Z","title":"In: Proceedings of the AAAI Conference on Artiﬁcial Intelligence","venue":null,"work_id":"708c03e5-83a4-4d7b-afac-78244dcd1edc","year":2024},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.502748Z"},"links":{"citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:22bf74f176beb7224a841576476e9267f0f01b76fbd11dcafdacaff9a60a7ed2","observation_id":"81dc5ff4-6697-4ae1-9201-6637b9ee2fd5","resolution":{"observed_at":"2026-08-06T11:01:55.137185Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T11:01:55.109087Z","title":"In: International Conference on Intelligent Computing","venue":null,"work_id":"b307ddf1-7c3e-4097-a510-8c16481ed77b","year":2025},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.509525Z"},"links":{"citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:bcaa34a50c4860779e4e91d8c871bab6ddfc98122fea7ee3963eb019dc7ad41b","observation_id":"e5a44f15-cc18-45fd-9afe-c1110b46fcc7","resolution":{"observed_at":"2026-08-06T11:01:55.114438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T11:01:55.089128Z","title":"In: International Conference on Intelligent Computing","venue":null,"work_id":"d12d77a2-b67a-4b33-8cde-482c379bc265","year":2025},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.517266Z"},"links":{"citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:88a76ba190dcdecbdd8ec3a5701b2291d02ac6cfa7bcbf5bcbe26b01c5c2d82f","observation_id":"bb924638-fca9-4c27-81c3-98842070029a","resolution":{"observed_at":"2026-08-06T11:01:55.095672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08786","last_updated":"2022-03-03T12:10:58Z","snapshot_observed_at":"2026-07-06T11:01:05.577957Z","submitted_at":"2021-04-18T09:29:16Z","title":"Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.08786","snapshot_observed_at":"2026-08-06T11:01:54.523163Z","title":": Fantastically ordered prompts and where to ﬁnd them: Overcoming few-shot prompt order sensitivity","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.523163Z"},"links":{"cited_paper":"/paper/2104.08786","citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:755352e7481081f6e33e181dcb8ad121b09e1b37a27ac5805949ee82c86063eb","observation_id":"f88829ff-e1a4-4b47-8de0-0de731f8ed83","resolution":{"observed_at":"2026-08-06T11:01:54.523163Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14128","last_updated":"2023-05-23T14:55:25Z","snapshot_observed_at":"2026-07-06T15:31:28.888752Z","submitted_at":"2023-05-23T14:55:25Z","title":"Dr.ICL: Demonstration-Retrieved In-context Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14128","snapshot_observed_at":"2026-08-06T11:01:54.528660Z","title":"icl: Demonstration-retrieved in-context learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.528660Z"},"links":{"cited_paper":"/paper/2305.14128","citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:cb160dea2ebe38a1136372c78c4237bbd11c353891e4cdc87c5f9ca61ffe1a55","observation_id":"4ff23786-50ca-40b5-99ba-1acc4bbeee9b","resolution":{"observed_at":"2026-08-06T11:01:54.528660Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.13074","last_updated":"2022-10-21T18:51:17Z","snapshot_observed_at":"2026-07-06T13:04:23.687710Z","submitted_at":"2022-04-27T17:15:07Z","title":"Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement","version":2},"cited_work":{"arxiv_id":"2204.13074","doi":null,"metadata_source":"pith","pith_arxiv_id":"2204.13074","snapshot_observed_at":"2026-08-06T11:01:54.822411Z","title":"Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement","venue":"cs.CL","work_id":"28cfc2df-5aa8-4c5b-9372-078b27a07ec5","year":2022},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.537004Z"},"links":{"cited_paper":"/paper/2204.13074","citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:da09170d105bf9f23c6ed1552680cf776410b7d6164072012d6790ae8d961c6e","observation_id":"aea9384c-8ee5-42dd-b72e-910f144e4424","resolution":{"observed_at":"2026-08-06T11:01:54.830912Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2103.07191","last_updated":"2021-04-15T06:11:12Z","snapshot_observed_at":"2026-08-07T13:11:17.300265Z","submitted_at":"2021-03-12T10:23:47Z","title":"Are NLP Models really able to Solve Simple Math Word Problems?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.07191","snapshot_observed_at":"2026-08-06T11:01:54.542337Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.542337Z"},"links":{"cited_paper":"/paper/2103.07191","citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:410328f57ee940e19b4cfd7e1f92502a56d32a441f92a50a694abca70ca4c1c5","observation_id":"79f18603-bbab-4cc1-b99d-9b414a4db105","resolution":{"observed_at":"2026-08-06T11:01:54.542337Z","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":"2026-08-06T11:01:55.060621Z","title":"OpenAI blog 1(8), 9 (2019)","venue":null,"work_id":"71fa4fd9-0255-411c-9ae2-1f791cff4999","year":2019},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.548743Z"},"links":{"citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:b191cb270f2501e8f308c9d77de5bd761363946fa0d3787b23cf117d2f001316","observation_id":"c1e902d5-8e33-41e6-b6a0-d3e1fe286b3e","resolution":{"observed_at":"2026-08-06T11:01:55.070282Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.10084","last_updated":"2019-08-27T08:50:17Z","snapshot_observed_at":"2026-07-06T08:17:05.681370Z","submitted_at":"2019-08-27T08:50:17Z","title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.10084","snapshot_observed_at":"2026-08-06T11:01:54.557382Z","title":"arXiv preprint arXiv:1908.10084 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.557382Z"},"links":{"cited_paper":"/paper/1908.10084","citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:f5d544fb537009acdd3612350dbc60f68e47669919131f9eed21691349a5f7ca","observation_id":"efb9085e-2603-4c33-b460-6db97b7f6b0c","resolution":{"observed_at":"2026-08-06T11:01:54.557382Z","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":"2026-08-06T11:01:55.038701Z","title":"In: Extended abstracts of the 2021 CHI conference on human factors in computing systems","venue":null,"work_id":"a3283b16-8d60-4ce9-bccb-2e65d4743cd9","year":2021},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.564689Z"},"links":{"citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:f4fa03862ff0aa0f6c7c04711736db0d9fe5b655c6b3054a3524a24827e6461c","observation_id":"ec294ff2-d424-40ee-9106-f5bf5651e6fe","resolution":{"observed_at":"2026-08-06T11:01:55.046166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.08633","last_updated":"2022-05-08T05:17:15Z","snapshot_observed_at":"2026-08-07T07:00:59.716646Z","submitted_at":"2021-12-16T05:17:56Z","title":"Learning To Retrieve Prompts for In-Context Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.08633","snapshot_observed_at":"2026-08-06T11:01:54.569887Z","title":"arXiv preprint arXiv:2112.08633 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.569887Z"},"links":{"cited_paper":"/paper/2112.08633","citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:f11535a96a41310ab7eb017b20c22af1194db915beeff80f9f7d8a92e4df184a","observation_id":"cf50ee82-a89d-49c5-a8ac-35045c61b7ad","resolution":{"observed_at":"2026-08-06T11:01:54.569887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1811.00937","last_updated":"2019-03-15T18:02:58Z","snapshot_observed_at":"2026-08-04T21:50:24.483867Z","submitted_at":"2018-11-02T15:34:29Z","title":"CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.00937","snapshot_observed_at":"2026-08-06T11:01:54.575803Z","title":"arXiv preprint arXiv:1811.00937 ( 2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.575803Z"},"links":{"cited_paper":"/paper/1811.00937","citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:c0b56821e23727a4313f7f1c45947e69e01bfcfd9bd1241ae21d07a048c9e164","observation_id":"1049b5e8-888c-43a2-a426-cc08a227a343","resolution":{"observed_at":"2026-08-06T11:01:54.575803Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-06T11:01:54.581845Z","title":"arXiv preprint arXiv:2302.13971 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.581845Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:da3095ce38a3e812515ff1820867676bc7f2067e7f36bec336e4c04f98536e5b","observation_id":"6963d8d7-36e9-4867-bf66-76fab149ee31","resolution":{"observed_at":"2026-08-06T11:01:54.581845Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.11171","last_updated":"2023-03-07T17:57:37Z","snapshot_observed_at":"2026-07-06T12:50:22.773056Z","submitted_at":"2022-03-21T17:48:52Z","title":"Self-Consistency Improves Chain of Thought Reasoning in Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.11171","snapshot_observed_at":"2026-08-06T11:01:54.587477Z","title":"arXiv preprint arXiv:2203.11171 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.587477Z"},"links":{"cited_paper":"/paper/2203.11171","citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:025595bded8a3dff5777fa9fe49f31a4226874cc3b48cfccf884039619bac67d","observation_id":"c4e06b82-bd39-4f15-ab16-d15724813d61","resolution":{"observed_at":"2026-08-06T11:01:54.587477Z","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":"2026-08-06T11:01:55.018050Z","title":"ACM Transactions on Knowledge Discovery from Data 18(6), 1–32 (2024)","venue":null,"work_id":"741652d1-5f7e-44cf-808f-3eed4c5e8b4c","year":2024},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.594006Z"},"links":{"citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:cd494a8e57ba7af0a48e8d4bc44cf093376514fa308d79f8d392c33f0c0237cd","observation_id":"668e99bb-0506-4ba7-a64d-d523cb1b443b","resolution":{"observed_at":"2026-08-06T11:01:55.025764Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T11:01:54.991103Z","title":"In: Inter- national Conference on Machine Learning","venue":null,"work_id":"2f0be393-d633-440d-bbc4-0fe593dbbf94","year":2023},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.599568Z"},"links":{"citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:120acb6b1d03842ebc3fee0894ad3d9ae74838148f6ce9ecd86b2b4744bc2804","observation_id":"9d64ec25-909b-4608-9e48-cfb5c7cf4c39","resolution":{"observed_at":"2026-08-06T11:01:54.997509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T11:01:54.971146Z","title":"Advances in neural information processing systems 35, 30378–30392 (2022)","venue":null,"work_id":"50d1f8b6-ecd6-4683-9791-21bb7adbc6d2","year":2022},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.606994Z"},"links":{"citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:6eee3312db753382466368cf0d7bc1c6fb35391a4c449b485d861ae18fd56c62","observation_id":"ee6d3698-39e9-4156-9d74-cc7fd20e6b75","resolution":{"observed_at":"2026-08-06T11:01:54.977531Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-06T23:27:24.356320Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-06T11:01:54.612434Z","title":"arXiv preprint arX iv:2303.18223 1(2) (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T11:01:54.612434Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2507.23211"},"observation_digest":"sha256:5ebf0da007d3f4192bb73b4560c278a01be2ca42bc1004cea2d1ea305e3d0011","observation_id":"621b4361-28b5-42fc-9824-ab33737b179e","resolution":{"observed_at":"2026-08-06T11:01:54.612434Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.23211","last_updated":"2025-07-31T03:06:27Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-06T11:01:53.184518Z","submitted_at":"2025-07-31T03:06:27Z","title":"Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":13,"verified_exact":0,"verified_fuzzy":14},"total_outbound_references":28},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.23211."}