{"as_of":"2026-08-09T08:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2228ae6380a83714e5336a685d049466c712ef18c441a1df6058dc696cfd2a35","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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":"2026-08-07T00:49:38.000946Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2110.04541","last_updated":"2022-03-21T17:57:13Z","snapshot_observed_at":"2026-08-04T03:21:19.108004Z","submitted_at":"2021-10-09T11:05:16Z","title":"The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.04541","snapshot_observed_at":"2026-08-07T00:49:38.000946Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.12796","last_updated":"2025-06-17T07:46:17Z","snapshot_observed_at":"2026-08-09T02:07:02.685178Z","submitted_at":"2025-06-15T10:04:42Z","title":"Surprise Calibration for Better In-Context Learning","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T00:49:38.000946Z"},"links":{"cited_paper":"/paper/2110.04541","citing_paper":"/paper/2506.12796"},"observation_digest":"sha256:3166b30390a1f961e10f23257039e7b1249aecbfb01f190eb8e585d10d46aa46","observation_id":"e203a2f4-1338-48e8-89a3-6829c384fac5","resolution":{"observed_at":"2026-08-07T00:49:38.000946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.04541","last_updated":"2022-03-21T17:57:13Z","snapshot_observed_at":"2026-08-04T03:21:19.108004Z","submitted_at":"2021-10-09T11:05:16Z","title":"The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design","version":3},"cited_work":{"arxiv_id":"2110.04541","doi":"10.48550/arxiv.2110.04541","metadata_source":"arxiv_reference","pith_arxiv_id":"2110.04541","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The inductive bias of in-context learning: Rethinking pretraining example design.arXiv preprint arXiv:2110.04541","venue":"arXiv (Cornell University)","work_id":"b154b8a2-cdfb-4213-881b-534fca6a1bb0","year":2021},"citing_paper":{"arxiv_id":"2601.05106","last_updated":"2026-05-21T03:21:52Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-01-08T16:53:16Z","title":"Token-Level LLM Collaboration via FusionRoute","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-22T12:25:59.747665Z"},"links":{"cited_paper":"/paper/2110.04541","citing_paper":"/paper/2601.05106"},"observation_digest":"sha256:5ebe7fdcd371f4a7d491cc06c579d66d2d27ee64a8ad2326f921fa4ad0890702","observation_id":"dd27e7ff-e8be-47b2-88de-717ae440d9af","resolution":{"observed_at":"2026-05-22T12:26:31.578714Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.04541","last_updated":"2022-03-21T17:57:13Z","snapshot_observed_at":"2026-08-04T03:21:19.108004Z","submitted_at":"2021-10-09T11:05:16Z","title":"The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design","version":3},"cited_work":{"arxiv_id":"2110.04541","doi":"10.48550/arxiv.2110.04541","metadata_source":"arxiv_reference","pith_arxiv_id":"2110.04541","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The inductive bias of in-context learning: Rethinking pretraining example design.arXiv preprint arXiv:2110.04541","venue":"arXiv (Cornell University)","work_id":"b154b8a2-cdfb-4213-881b-534fca6a1bb0","year":2021},"citing_paper":{"arxiv_id":"2605.12940","last_updated":"2026-05-13T03:22:10Z","snapshot_observed_at":"2026-07-06T23:24:32.412966Z","submitted_at":"2026-05-13T03:22:10Z","title":"The Expressivity Boundary of Probabilistic Circuits: A Comparison with Large Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-14T20:49:06.931010Z"},"links":{"cited_paper":"/paper/2110.04541","citing_paper":"/paper/2605.12940"},"observation_digest":"sha256:bea922bb790cf57d8cc484de1dbe137e16934d55ac9490475cfd59ec4d76a15d","observation_id":"1732af0e-c586-4ced-92e6-bb280c4b41d9","resolution":{"observed_at":"2026-05-14T20:49:26.714157Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.04541","last_updated":"2022-03-21T17:57:13Z","snapshot_observed_at":"2026-08-04T03:21:19.108004Z","submitted_at":"2021-10-09T11:05:16Z","title":"The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design","version":3},"cited_work":{"arxiv_id":"2110.04541","doi":"10.48550/arxiv.2110.04541","metadata_source":"arxiv_reference","pith_arxiv_id":"2110.04541","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The inductive bias of in-context learning: Rethinking pretraining example design.arXiv preprint arXiv:2110.04541","venue":"arXiv (Cornell University)","work_id":"b154b8a2-cdfb-4213-881b-534fca6a1bb0","year":2021},"citing_paper":{"arxiv_id":"2605.18768","last_updated":"2026-04-13T10:07:03Z","snapshot_observed_at":"2026-08-01T02:49:14.468592Z","submitted_at":"2026-04-13T10:07:03Z","title":"ClinQueryAgent: A Conversational Agent for Population Health Management","version":1},"reference_index":133,"source":"arxiv_source","source_observed_at":"2026-05-21T01:31:07.031424Z"},"links":{"cited_paper":"/paper/2110.04541","citing_paper":"/paper/2605.18768"},"observation_digest":"sha256:2846fae06c0d6590a97206232e1d691620f0264b25e486810396d425bb2626f2","observation_id":"6da8893a-f2c5-4ab9-8e6a-d6eaf3e9ed40","resolution":{"observed_at":"2026-05-21T01:33:56.447651Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2110.04541/citation-record","integrity":"/paper/2110.04541/integrity","json":"/paper/2110.04541/citation-record.json","paper":"/paper/2110.04541"},"outbound":[],"paper":{"arxiv_id":"2110.04541","last_updated":"2022-03-21T17:57:13Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-04T03:21:19.108004Z","submitted_at":"2021-10-09T11:05:16Z","title":"The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2110.04541."}