{"as_of":"2026-08-08T17:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d0b9f9fbf32c3d1067d36206bbce0c93465847bdc451bf213e30bcf4efdd1b6b","coverage":[{"denominator":10,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T11:59:51.097116Z","state":"measured"},{"denominator":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"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/2607.24767/citation-record","integrity":"/paper/2607.24767/integrity","json":"/paper/2607.24767/citation-record.json","paper":"/paper/2607.24767"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.11511","last_updated":"2023-10-17T18:18:32Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-17T18:18:32Z","title":"Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.11511","snapshot_observed_at":"2026-08-02T11:59:50.574420Z","title":"Self- rag: Learning to retrieve, generate, and critique through self-reflection, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.24767","last_updated":"2026-06-08T13:55:14Z","snapshot_observed_at":"2026-08-07T21:43:15.523875Z","submitted_at":"2026-06-08T13:55:14Z","title":"The Effect of Text Chunk Size on Retrieval-Augmented Generation Performance","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T11:59:50.574420Z"},"links":{"cited_paper":"/paper/2310.11511","citing_paper":"/paper/2607.24767"},"observation_digest":"sha256:074231591dfac7ff1d5d2bc6a0e5fd2780e34b43c431570c56490f6115912672","observation_id":"dca37cbe-797e-4356-bdbc-4263bab6dd9f","resolution":{"observed_at":"2026-08-02T11:59:50.574420Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.21700","last_updated":"2025-05-29T09:16:42Z","snapshot_observed_at":"2026-08-07T21:40:08.758172Z","submitted_at":"2025-05-27T19:39:16Z","title":"Rethinking Chunk Size For Long-Document Retrieval: A Multi-Dataset Analysis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.21700","snapshot_observed_at":"2026-08-02T11:59:50.639709Z","title":"Rethinkingchunksizeforlong-documentretrieval: A multi-dataset analysis.arXiv preprint arXiv:2505.21700, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.24767","last_updated":"2026-06-08T13:55:14Z","snapshot_observed_at":"2026-08-07T21:43:15.523875Z","submitted_at":"2026-06-08T13:55:14Z","title":"The Effect of Text Chunk Size on Retrieval-Augmented Generation Performance","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T11:59:50.639709Z"},"links":{"cited_paper":"/paper/2505.21700","citing_paper":"/paper/2607.24767"},"observation_digest":"sha256:f3d3bfcf27f6d9edb5668db77d38a313fb8651f08fd74256e046457befa49694","observation_id":"c8428cc5-f2ab-4551-a557-150725a07083","resolution":{"observed_at":"2026-08-02T11:59:50.639709Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T11:59:50.685585Z","title":"The effect of chunk size on the rag performance, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.24767","last_updated":"2026-06-08T13:55:14Z","snapshot_observed_at":"2026-08-07T21:43:15.523875Z","submitted_at":"2026-06-08T13:55:14Z","title":"The Effect of Text Chunk Size on Retrieval-Augmented Generation Performance","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T11:59:50.685585Z"},"links":{"citing_paper":"/paper/2607.24767"},"observation_digest":"sha256:8c2a5a30a0de6ccb0262e96be3f61adc0bf649a84efb39efc3f076edf06102f1","observation_id":"839a9090-788b-43db-a0cc-6904a2d33668","resolution":{"observed_at":"2026-08-02T11:59:50.685585Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T11:59:50.746100Z","title":"Leveraging passage retrieval with generative models for open domain question answering","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.24767","last_updated":"2026-06-08T13:55:14Z","snapshot_observed_at":"2026-08-07T21:43:15.523875Z","submitted_at":"2026-06-08T13:55:14Z","title":"The Effect of Text Chunk Size on Retrieval-Augmented Generation Performance","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T11:59:50.746100Z"},"links":{"citing_paper":"/paper/2607.24767"},"observation_digest":"sha256:6ff37eb9fa33b9d980d114a0d33964988ee4228128a915d453bd59982eabaab0","observation_id":"dabfd7f1-ab53-43cd-8262-d82a85f24059","resolution":{"observed_at":"2026-08-02T11:59:50.746100Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-02T11:59:50.811005Z","title":"Financialreportchunkingforeffectiveretrievalaugmented generation.arXiv preprint arXiv:2402.05131, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.24767","last_updated":"2026-06-08T13:55:14Z","snapshot_observed_at":"2026-08-07T21:43:15.523875Z","submitted_at":"2026-06-08T13:55:14Z","title":"The Effect of Text Chunk Size on Retrieval-Augmented Generation Performance","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T11:59:50.811005Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2607.24767"},"observation_digest":"sha256:fb9903d37f48d6e6b841f7bb9c6ea525e6856f148d754f5882bb58be64104f7a","observation_id":"7519f3a0-28d0-4609-a3f7-88a2a102bccf","resolution":{"observed_at":"2026-08-02T11:59:50.811005Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T11:59:50.883650Z","title":"Retrieval-augmented generation forknowledge-intensivenlptasks.Advances in Neural Information Processing Systems, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.24767","last_updated":"2026-06-08T13:55:14Z","snapshot_observed_at":"2026-08-07T21:43:15.523875Z","submitted_at":"2026-06-08T13:55:14Z","title":"The Effect of Text Chunk Size on Retrieval-Augmented Generation Performance","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T11:59:50.883650Z"},"links":{"citing_paper":"/paper/2607.24767"},"observation_digest":"sha256:05d95db56088a1ee58e2812a30e50d5ffd1fafe81fa9adf15cbd2343f8cf511a","observation_id":"b2aaffb9-c189-4439-ac74-481bcc49430b","resolution":{"observed_at":"2026-08-02T11:59:50.883650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T11:59:50.958289Z","title":"Raptor: Recursiveabstractiveprocessingfortree-organizedretrieval,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.24767","last_updated":"2026-06-08T13:55:14Z","snapshot_observed_at":"2026-08-07T21:43:15.523875Z","submitted_at":"2026-06-08T13:55:14Z","title":"The Effect of Text Chunk Size on Retrieval-Augmented Generation Performance","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T11:59:50.958289Z"},"links":{"citing_paper":"/paper/2607.24767"},"observation_digest":"sha256:d3f2d0656f060b851c49d195af9de28bc7315f50f8e877f8161cbcc052024d66","observation_id":"1bcb0e5f-4fca-4d6e-9a65-654069d80fae","resolution":{"observed_at":"2026-08-02T11:59:50.958289Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.19572","last_updated":"2025-04-23T06:29:39Z","snapshot_observed_at":"2026-07-06T19:39:42.675941Z","submitted_at":"2024-10-25T14:07:53Z","title":"ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.19572","snapshot_observed_at":"2026-08-02T11:59:51.042071Z","title":"Chunkrag: Novel llm-chunk filtering method for rag systems.arXiv preprint arXiv:2410.19572, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.24767","last_updated":"2026-06-08T13:55:14Z","snapshot_observed_at":"2026-08-07T21:43:15.523875Z","submitted_at":"2026-06-08T13:55:14Z","title":"The Effect of Text Chunk Size on Retrieval-Augmented Generation Performance","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T11:59:51.042071Z"},"links":{"cited_paper":"/paper/2410.19572","citing_paper":"/paper/2607.24767"},"observation_digest":"sha256:80edd2d21c336cfce1bb8082ada56e98b74da0255899229ab42058b97da73c8b","observation_id":"33279ab2-4f69-43d6-808b-9fd6efb85d8e","resolution":{"observed_at":"2026-08-02T11:59:51.042071Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.15884","last_updated":"2024-10-07T02:19:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-29T04:36:39Z","title":"Corrective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.15884","snapshot_observed_at":"2026-08-02T11:59:51.097116Z","title":"URLhttps://arxiv.org/abs/2401.15884","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.24767","last_updated":"2026-06-08T13:55:14Z","snapshot_observed_at":"2026-08-07T21:43:15.523875Z","submitted_at":"2026-06-08T13:55:14Z","title":"The Effect of Text Chunk Size on Retrieval-Augmented Generation Performance","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T11:59:51.097116Z"},"links":{"cited_paper":"/paper/2401.15884","citing_paper":"/paper/2607.24767"},"observation_digest":"sha256:72288c4fd71c847b81939602f73a13f4697275195b3024709a91def9b1ac9e79","observation_id":"ba301a2e-bd48-4efb-8690-2b93be0c786a","resolution":{"observed_at":"2026-08-02T11:59:51.097116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.18059","last_updated":"2024-01-31T18:30:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-31T18:30:21Z","title":"RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.18059","snapshot_observed_at":"2026-08-02T11:59:50.996830Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.24767","last_updated":"2026-06-08T13:55:14Z","snapshot_observed_at":"2026-08-07T21:43:15.523875Z","submitted_at":"2026-06-08T13:55:14Z","title":"The Effect of Text Chunk Size on Retrieval-Augmented Generation Performance","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-02T11:59:50.996830Z"},"links":{"cited_paper":"/paper/2401.18059","citing_paper":"/paper/2607.24767"},"observation_digest":"sha256:7eb69c2f9aae646348f33371c529694305f143414639235c59928def0d26bd44","observation_id":"975545f6-70f4-495d-8077-d9900d1b954d","resolution":{"observed_at":"2026-08-02T11:59:50.996830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.24767","last_updated":"2026-06-08T13:55:14Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-07T21:43:15.523875Z","submitted_at":"2026-06-08T13:55:14Z","title":"The Effect of Text Chunk Size on Retrieval-Augmented Generation Performance"},"reference_resolution":{"displayed":10,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":10},"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 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2607.24767."}