{"as_of":"2026-08-08T12:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a175ff40920993c765402ef1d2eb61fca423e623fe40b9871cf3a6d51fc0ac7d","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":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":16,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:24:59.615010Z","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":"2026-05-24T02:15:55.494007Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2202.01110","last_updated":"2022-02-13T05:50:10Z","snapshot_observed_at":"2026-07-06T12:33:49.568397Z","submitted_at":"2022-02-02T16:18:41Z","title":"A Survey on Retrieval-Augmented Text Generation","version":2},"cited_work":{"arxiv_id":"2202.01110","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.01110","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A survey on retrieval-augmented text generation","venue":null,"work_id":"5dab3d82-356b-4093-9863-9f010047df1d","year":2022},"citing_paper":{"arxiv_id":"2303.09014","last_updated":"2023-03-16T01:04:45Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-16T01:04:45Z","title":"ART: Automatic multi-step reasoning and tool-use for large language models","version":1},"reference_index":107,"source":"arxiv_source","source_observed_at":"2026-05-16T19:03:05.597295Z"},"links":{"cited_paper":"/paper/2202.01110","citing_paper":"/paper/2303.09014"},"observation_digest":"sha256:6aeee37313983abe310988d73794eecef457c4fb424a6efc296c9e9f68a39951","observation_id":"dc44ab41-300d-4d71-b197-abaa0a767c78","resolution":{"observed_at":"2026-05-16T19:03:06.130642Z","resolver_source":"arxiv_id","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":"2202.01110","last_updated":"2022-02-13T05:50:10Z","snapshot_observed_at":"2026-07-06T12:33:49.568397Z","submitted_at":"2022-02-02T16:18:41Z","title":"A Survey on Retrieval-Augmented Text Generation","version":2},"cited_work":{"arxiv_id":"2202.01110","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.01110","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A survey on retrieval-augmented text generation","venue":null,"work_id":"5dab3d82-356b-4093-9863-9f010047df1d","year":2022},"citing_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},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-05-12T11:19:17.120464Z"},"links":{"cited_paper":"/paper/2202.01110","citing_paper":"/paper/2401.15884"},"observation_digest":"sha256:8e2ace430eea39656d56453634abd7d10e38729cd405f1e4c4d43bf287e3dc14","observation_id":"490d2b20-b3c7-4304-a9ac-92910e6a9ae7","resolution":{"observed_at":"2026-05-12T11:19:17.327897Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2202.01110","last_updated":"2022-02-13T05:50:10Z","snapshot_observed_at":"2026-07-06T12:33:49.568397Z","submitted_at":"2022-02-02T16:18:41Z","title":"A Survey on Retrieval-Augmented Text Generation","version":2},"cited_work":{"arxiv_id":"2202.01110","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.01110","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A survey on retrieval-augmented text generation","venue":null,"work_id":"5dab3d82-356b-4093-9863-9f010047df1d","year":2022},"citing_paper":{"arxiv_id":"2402.19473","last_updated":"2024-06-21T08:26:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-29T18:59:01Z","title":"Retrieval-Augmented Generation for AI-Generated Content: A Survey","version":6},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-15T13:32:17.177021Z"},"links":{"cited_paper":"/paper/2202.01110","citing_paper":"/paper/2402.19473"},"observation_digest":"sha256:5f649c1377a1d5ba22d2d88e2a3b3e1bf931fe478059226571c33c665847c616","observation_id":"1496464f-c7af-405d-ba49-2bcf97116410","resolution":{"observed_at":"2026-05-15T13:32:17.325944Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2202.01110","last_updated":"2022-02-13T05:50:10Z","snapshot_observed_at":"2026-07-06T12:33:49.568397Z","submitted_at":"2022-02-02T16:18:41Z","title":"A Survey on Retrieval-Augmented Text Generation","version":2},"cited_work":{"arxiv_id":"2202.01110","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.01110","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A survey on retrieval-augmented text generation","venue":null,"work_id":"5dab3d82-356b-4093-9863-9f010047df1d","year":2022},"citing_paper":{"arxiv_id":"2404.10981","last_updated":"2024-08-23T00:17:02Z","snapshot_observed_at":"2026-07-06T18:01:18.745347Z","submitted_at":"2024-04-17T01:27:42Z","title":"A Survey on Retrieval-Augmented Text Generation for Large Language Models","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-05-24T02:15:05.379583Z"},"links":{"cited_paper":"/paper/2202.01110","citing_paper":"/paper/2404.10981"},"observation_digest":"sha256:7f30f26a31604a459a64bf39b6fa997177772a371bfcea6707c9dbd8262cda7d","observation_id":"e3cee78d-6ecf-4f4d-9d1a-24479855e858","resolution":{"observed_at":"2026-05-24T02:15:55.496041Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2202.01110","last_updated":"2022-02-13T05:50:10Z","snapshot_observed_at":"2026-07-06T12:33:49.568397Z","submitted_at":"2022-02-02T16:18:41Z","title":"A Survey on Retrieval-Augmented Text Generation","version":2},"cited_work":{"arxiv_id":"2202.01110","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.01110","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A survey on retrieval-augmented text generation","venue":null,"work_id":"5dab3d82-356b-4093-9863-9f010047df1d","year":2022},"citing_paper":{"arxiv_id":"2407.13193","last_updated":"2026-05-19T15:04:52Z","snapshot_observed_at":"2026-07-06T18:48:16.629078Z","submitted_at":"2024-07-18T06:06:53Z","title":"Retrieval-Augmented Generation for Natural Language Processing: A Survey","version":4},"reference_index":103,"source":"pdf_text","source_observed_at":"2026-05-23T23:06:41.081461Z"},"links":{"cited_paper":"/paper/2202.01110","citing_paper":"/paper/2407.13193"},"observation_digest":"sha256:be7b9a6ddafc8e8e718bbc63e28073179897d594a267223e35a7f1f07ba3bd1d","observation_id":"43ad76d4-315c-4460-aaec-940a381de2ca","resolution":{"observed_at":"2026-05-23T23:08:35.714216Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2202.01110","last_updated":"2022-02-13T05:50:10Z","snapshot_observed_at":"2026-07-06T12:33:49.568397Z","submitted_at":"2022-02-02T16:18:41Z","title":"A Survey on Retrieval-Augmented Text Generation","version":2},"cited_work":{"arxiv_id":"2202.01110","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.01110","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A survey on retrieval-augmented text generation","venue":null,"work_id":"5dab3d82-356b-4093-9863-9f010047df1d","year":2022},"citing_paper":{"arxiv_id":"2411.08249","last_updated":"2026-04-06T19:35:21Z","snapshot_observed_at":"2026-08-03T08:33:38.280907Z","submitted_at":"2024-11-12T23:55:11Z","title":"Retrieval Augmented Time Series Forecasting","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-23T16:59:20.386522Z"},"links":{"cited_paper":"/paper/2202.01110","citing_paper":"/paper/2411.08249"},"observation_digest":"sha256:0f79c1f779ebe68791945b0938ebec3ef325175fde126fc9fa908a534b86705e","observation_id":"fb731016-e68f-4e27-a695-70cb3df7d58e","resolution":{"observed_at":"2026-05-23T17:03:12.643885Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2202.01110","last_updated":"2022-02-13T05:50:10Z","snapshot_observed_at":"2026-07-06T12:33:49.568397Z","submitted_at":"2022-02-02T16:18:41Z","title":"A Survey on Retrieval-Augmented Text Generation","version":2},"cited_work":{"arxiv_id":"2202.01110","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.01110","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A survey on retrieval-augmented text generation","venue":null,"work_id":"5dab3d82-356b-4093-9863-9f010047df1d","year":2022},"citing_paper":{"arxiv_id":"2501.00309","last_updated":"2025-01-08T05:16:25Z","snapshot_observed_at":"2026-08-07T12:37:34.294206Z","submitted_at":"2024-12-31T06:59:35Z","title":"Retrieval-Augmented Generation with Graphs (GraphRAG)","version":2},"reference_index":227,"source":"pdf_text","source_observed_at":"2026-05-18T04:33:39.076517Z"},"links":{"cited_paper":"/paper/2202.01110","citing_paper":"/paper/2501.00309"},"observation_digest":"sha256:d0a0c8c5f3f3fd882d7611d7b0d6aa76a491ba209533e5f6275b68bb9fef2311","observation_id":"362b565d-e06b-4aaf-8d05-2de0bacc07a1","resolution":{"observed_at":"2026-05-18T04:33:39.547538Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2202.01110","last_updated":"2022-02-13T05:50:10Z","snapshot_observed_at":"2026-07-06T12:33:49.568397Z","submitted_at":"2022-02-02T16:18:41Z","title":"A Survey on Retrieval-Augmented Text Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01110","snapshot_observed_at":"2026-08-07T14:24:59.615010Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.19001","last_updated":"2025-08-18T17:20:35Z","snapshot_observed_at":"2026-08-07T14:19:46.066488Z","submitted_at":"2025-05-25T06:45:53Z","title":"DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T14:24:59.615010Z"},"links":{"cited_paper":"/paper/2202.01110","citing_paper":"/paper/2505.19001"},"observation_digest":"sha256:a3634291b47386f1ded1c8dff1d7729a63bb42730442e89363d4bfc440ec0a32","observation_id":"d160bdeb-e920-48bd-90a8-0e718f3a8358","resolution":{"observed_at":"2026-08-07T14:24:59.615010Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01110","last_updated":"2022-02-13T05:50:10Z","snapshot_observed_at":"2026-07-06T12:33:49.568397Z","submitted_at":"2022-02-02T16:18:41Z","title":"A Survey on Retrieval-Augmented Text Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01110","snapshot_observed_at":"2026-08-07T05:22:49.541591Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.08134","last_updated":"2026-06-09T00:39:28Z","snapshot_observed_at":"2026-08-07T05:16:33.521117Z","submitted_at":"2025-06-09T18:37:14Z","title":"Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem","version":4},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T05:22:49.541591Z"},"links":{"cited_paper":"/paper/2202.01110","citing_paper":"/paper/2506.08134"},"observation_digest":"sha256:369676d45cd21a5c51758770d832c1ee4d6400c2216ce61f5980d85f09888291","observation_id":"9a09beed-4d50-45cb-a721-356b1e78b51b","resolution":{"observed_at":"2026-08-07T05:22:49.541591Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01110","last_updated":"2022-02-13T05:50:10Z","snapshot_observed_at":"2026-07-06T12:33:49.568397Z","submitted_at":"2022-02-02T16:18:41Z","title":"A Survey on Retrieval-Augmented Text Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01110","snapshot_observed_at":"2026-08-07T00:42:57.987668Z","title":"A survey on retrieval-augmented text generation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13178","last_updated":"2025-06-16T07:43:18Z","snapshot_observed_at":"2026-08-07T00:34:16.038100Z","submitted_at":"2025-06-16T07:43:18Z","title":"Enhancing Large Language Models with Reliable Knowledge Graphs","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-07T00:42:57.987668Z"},"links":{"cited_paper":"/paper/2202.01110","citing_paper":"/paper/2506.13178"},"observation_digest":"sha256:b2a4fb3cc33b2657602da83ed2e0c30b05c35b03e8a0853cc7da31616a7444d5","observation_id":"63c30c01-4924-4d0e-af86-199942628ee1","resolution":{"observed_at":"2026-08-07T00:42:57.987668Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01110","last_updated":"2022-02-13T05:50:10Z","snapshot_observed_at":"2026-07-06T12:33:49.568397Z","submitted_at":"2022-02-02T16:18:41Z","title":"A Survey on Retrieval-Augmented Text Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01110","snapshot_observed_at":"2026-08-05T22:34:14.589249Z","title":"A survey on retrieval- augmented text generation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.06888","last_updated":"2025-08-09T08:35:40Z","snapshot_observed_at":"2026-08-07T20:00:53.865378Z","submitted_at":"2025-08-09T08:35:40Z","title":"Multi-Modal Requirements Data-based Acceptance Criteria Generation using LLMs","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-05T22:34:14.589249Z"},"links":{"cited_paper":"/paper/2202.01110","citing_paper":"/paper/2508.06888"},"observation_digest":"sha256:a9238d8795f48d84278ceb08cdec394a6c98d7703fc2fed3f71d928298e7b97b","observation_id":"8cfbbf79-a2f6-41db-9894-1338e104fc32","resolution":{"observed_at":"2026-08-05T22:34:14.589249Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01110","last_updated":"2022-02-13T05:50:10Z","snapshot_observed_at":"2026-07-06T12:33:49.568397Z","submitted_at":"2022-02-02T16:18:41Z","title":"A Survey on Retrieval-Augmented Text Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01110","snapshot_observed_at":"2026-08-05T15:38:03.050139Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.19724","last_updated":"2025-08-28T12:05:33Z","snapshot_observed_at":"2026-08-07T09:02:40.359825Z","submitted_at":"2025-08-27T09:34:28Z","title":"NLKI: A lightweight Natural Language Knowledge Integration Framework for Improving Small VLMs in Commonsense VQA Tasks","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-05T15:38:03.050139Z"},"links":{"cited_paper":"/paper/2202.01110","citing_paper":"/paper/2508.19724"},"observation_digest":"sha256:0e7bb91ba55df590f1124ce72817b3cfe7fe46e048862483aa06ab21753ff072","observation_id":"24bc312a-511f-4491-8dc5-bf8365d947ee","resolution":{"observed_at":"2026-08-05T15:38:03.050139Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01110","last_updated":"2022-02-13T05:50:10Z","snapshot_observed_at":"2026-07-06T12:33:49.568397Z","submitted_at":"2022-02-02T16:18:41Z","title":"A Survey on Retrieval-Augmented Text Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01110","snapshot_observed_at":"2026-08-05T14:49:07.897501Z","title":"Huayang Li, Yixuan Su, Deng Cai, Yan Wang, and Lemao Liu","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.20867","last_updated":"2025-08-28T14:59:55Z","snapshot_observed_at":"2026-08-06T23:06:47.239686Z","submitted_at":"2025-08-28T14:59:55Z","title":"MSRS: Evaluating Multi-Source Retrieval-Augmented Generation","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-05T14:49:07.897501Z"},"links":{"cited_paper":"/paper/2202.01110","citing_paper":"/paper/2508.20867"},"observation_digest":"sha256:df2d09df6ed39930b65f2c103555b4638e28bf6eade90bcdddc90e2cc2285076","observation_id":"f770a0df-a182-4d87-9caa-2af73e774c18","resolution":{"observed_at":"2026-08-05T14:49:07.897501Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01110","last_updated":"2022-02-13T05:50:10Z","snapshot_observed_at":"2026-07-06T12:33:49.568397Z","submitted_at":"2022-02-02T16:18:41Z","title":"A Survey on Retrieval-Augmented Text Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01110","snapshot_observed_at":"2026-08-04T21:02:41.731654Z","title":"A survey on retrieval-augmented text generation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.08862","last_updated":"2025-09-10T02:21:11Z","snapshot_observed_at":"2026-08-08T07:14:19.558409Z","submitted_at":"2025-09-10T02:21:11Z","title":"Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T21:02:41.731654Z"},"links":{"cited_paper":"/paper/2202.01110","citing_paper":"/paper/2509.08862"},"observation_digest":"sha256:3d063ecaec88e6ff653d9db58678959c39e36db70055c4f1c72986528c5cba59","observation_id":"c442ac7c-b10b-42d0-86d8-f57d5d7395d3","resolution":{"observed_at":"2026-08-04T21:02:41.731654Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01110","last_updated":"2022-02-13T05:50:10Z","snapshot_observed_at":"2026-07-06T12:33:49.568397Z","submitted_at":"2022-02-02T16:18:41Z","title":"A Survey on Retrieval-Augmented Text Generation","version":2},"cited_work":{"arxiv_id":"2202.01110","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.01110","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A survey on retrieval-augmented text generation","venue":null,"work_id":"5dab3d82-356b-4093-9863-9f010047df1d","year":2022},"citing_paper":{"arxiv_id":"2510.25401","last_updated":"2026-04-11T06:37:04Z","snapshot_observed_at":"2026-07-06T22:34:23.736456Z","submitted_at":"2025-10-29T11:20:10Z","title":"DGAI: Decoupled On-Disk Graph-Based ANN Index for Efficient Updates and Queries","version":5},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-18T03:42:04.427190Z"},"links":{"cited_paper":"/paper/2202.01110","citing_paper":"/paper/2510.25401"},"observation_digest":"sha256:56570d7fc3ea78a17634c15881d1a6b5c60dbb06802d202e3ad40768c9ea1f49","observation_id":"ff197e7b-50b0-4f80-9c86-26d063b6fe5b","resolution":{"observed_at":"2026-05-18T03:42:22.540545Z","resolver_source":"arxiv_id","status":"verified_exact"},"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":"2202.01110","last_updated":"2022-02-13T05:50:10Z","snapshot_observed_at":"2026-07-06T12:33:49.568397Z","submitted_at":"2022-02-02T16:18:41Z","title":"A Survey on Retrieval-Augmented Text Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01110","snapshot_observed_at":"2026-08-03T03:04:47.700014Z","title":"A survey on retrieval-augmented text generation.arXiv preprint arXiv:2202.01110, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.09319","last_updated":"2026-06-08T20:08:22Z","snapshot_observed_at":"2026-08-08T00:41:54.596301Z","submitted_at":"2026-02-10T01:27:46Z","title":"Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T03:04:47.700014Z"},"links":{"cited_paper":"/paper/2202.01110","citing_paper":"/paper/2602.09319"},"observation_digest":"sha256:28b8226a48d33f80feaa4131dc617b46cc03fd4c6110ee6221470c037acf3484","observation_id":"43dc6232-130a-4225-896f-fe70011a31d6","resolution":{"observed_at":"2026-08-03T03:04:47.700014Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2202.01110/citation-record","integrity":"/paper/2202.01110/integrity","json":"/paper/2202.01110/citation-record.json","paper":"/paper/2202.01110"},"outbound":[],"paper":{"arxiv_id":"2202.01110","last_updated":"2022-02-13T05:50:10Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T12:33:49.568397Z","submitted_at":"2022-02-02T16:18:41Z","title":"A Survey on Retrieval-Augmented Text Generation"},"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":"2026-08-08T06:32:00.761636+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 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2202.01110."}