{"as_of":"2026-08-07T08:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e4ae75a4f4bb9bc343a34ed7c838c88ad3f28a8adaac8d1e79433aedeab55bf9","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:18:41.941914Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:43:23.895509Z","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":"2026-06-29T17:13:44.975116Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.21931","snapshot_observed_at":"2026-08-06T20:43:23.895509Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.02097","last_updated":"2026-06-28T08:31:01Z","snapshot_observed_at":"2026-08-06T20:35:32.980157Z","submitted_at":"2025-07-02T19:25:44Z","title":"The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems","version":3},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-06T20:43:23.895509Z"},"links":{"cited_paper":"/paper/2506.21931","citing_paper":"/paper/2507.02097"},"observation_digest":"sha256:0e0e390ab63baba952ea65a707a751735d3f9d6a6e689ff3be997038d9c1cc51","observation_id":"ee84c882-3f07-4718-b79e-8959848f89df","resolution":{"observed_at":"2026-08-06T20:43:23.895509Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.21931","snapshot_observed_at":"2026-08-06T15:06:48.877582Z","title":"Arag: Agentic retrieval augmented generation for personalized recommendation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.16731","last_updated":"2025-07-22T16:13:43Z","snapshot_observed_at":"2026-08-06T15:00:33.300567Z","submitted_at":"2025-07-22T16:13:43Z","title":"Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges","version":1},"reference_index":274,"source":"pdf_text","source_observed_at":"2026-08-06T15:06:48.877582Z"},"links":{"cited_paper":"/paper/2506.21931","citing_paper":"/paper/2507.16731"},"observation_digest":"sha256:cd843a8419a42bc1e04be9485449c7086218782850f9e8117f2b3690315b780a","observation_id":"45ab2cbd-5a9c-4288-9407-8aba860ccd9c","resolution":{"observed_at":"2026-08-06T15:06:48.877582Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"cited_work":{"arxiv_id":"2506.21931","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.21931","snapshot_observed_at":"2026-06-29T17:13:44.975116Z","title":null,"venue":null,"work_id":"9f3768e2-ee0e-47e7-8c83-d392735831d5","year":2025},"citing_paper":{"arxiv_id":"2605.11118","last_updated":"2026-05-14T20:17:47Z","snapshot_observed_at":"2026-08-03T01:34:12.047245Z","submitted_at":"2026-05-11T18:27:08Z","title":"A Cascaded Generative Approach for e-Commerce Recommendations","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-13T02:45:47.102573Z"},"links":{"cited_paper":"/paper/2506.21931","citing_paper":"/paper/2605.11118"},"observation_digest":"sha256:091faed66775fae6c3e26fe396b02ed016861a0fe2150ae2983ce1d2e4b0a468","observation_id":"0c9f6aa8-32a4-4c0e-9b6e-97f07090080a","resolution":{"observed_at":"2026-05-13T02:47:07.852499Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"cited_work":{"arxiv_id":"2506.21931","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.21931","snapshot_observed_at":"2026-06-29T17:13:44.975116Z","title":null,"venue":null,"work_id":"9f3768e2-ee0e-47e7-8c83-d392735831d5","year":2025},"citing_paper":{"arxiv_id":"2605.11118","last_updated":"2026-05-14T20:17:47Z","snapshot_observed_at":"2026-08-03T01:34:12.047245Z","submitted_at":"2026-05-11T18:27:08Z","title":"A Cascaded Generative Approach for e-Commerce Recommendations","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-19T14:39:21.506844Z"},"links":{"cited_paper":"/paper/2506.21931","citing_paper":"/paper/2605.11118"},"observation_digest":"sha256:dd80b6983ca287b579fc9e7b48cda319f09a2b80b818d632a0f223ad4fbc5d74","observation_id":"234ac907-aa3b-4661-9a3c-af2801fef408","resolution":{"observed_at":"2026-05-19T14:42:37.503073Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"cited_work":{"arxiv_id":"2506.21931","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.21931","snapshot_observed_at":"2026-06-29T17:13:44.975116Z","title":null,"venue":null,"work_id":"9f3768e2-ee0e-47e7-8c83-d392735831d5","year":2025},"citing_paper":{"arxiv_id":"2605.27164","last_updated":"2026-05-26T15:22:42Z","snapshot_observed_at":"2026-07-06T23:36:53.330986Z","submitted_at":"2026-05-26T15:22:42Z","title":"Query Symbolically or Retrieve Semantically? A Dataset and Method for Semi-Structured Question Answering","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-06-29T17:03:46.019948Z"},"links":{"cited_paper":"/paper/2506.21931","citing_paper":"/paper/2605.27164"},"observation_digest":"sha256:4a368ad422fb872ac04ad60e28d5de94c9a799cc7c4fd43f1fb77c42344f1435","observation_id":"3446fc19-112b-42f7-9db3-2f2bec44c8d8","resolution":{"observed_at":"2026-06-29T17:13:44.976404Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"cited_work":{"arxiv_id":"2506.21931","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.21931","snapshot_observed_at":"2026-06-29T17:13:44.975116Z","title":null,"venue":null,"work_id":"9f3768e2-ee0e-47e7-8c83-d392735831d5","year":2025},"citing_paper":{"arxiv_id":"2605.28175","last_updated":"2026-05-29T13:34:06Z","snapshot_observed_at":"2026-07-06T23:37:45.223562Z","submitted_at":"2026-05-27T08:56:57Z","title":"Mixture-of-Experts Knowledge Graph Retrieval-Augmented Generation for Multi-Agent LLM-based Recommendation","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-29T10:03:45.368681Z"},"links":{"cited_paper":"/paper/2506.21931","citing_paper":"/paper/2605.28175"},"observation_digest":"sha256:f78862e0e5ea9144a6c25eadd50f43e4cee80a6677234321539b8eb7d71a2425","observation_id":"2c6ec06c-640b-4930-af90-4c2d450ee7df","resolution":{"observed_at":"2026-06-29T10:13:17.961728Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.21931","snapshot_observed_at":"2026-07-11T19:14:13.105401Z","title":"arXiv preprint arXiv:2506.21931 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04433","last_updated":"2026-07-05T17:55:05Z","snapshot_observed_at":"2026-08-04T17:53:26.891888Z","submitted_at":"2026-07-05T17:55:05Z","title":"Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-07-11T19:14:13.105401Z"},"links":{"cited_paper":"/paper/2506.21931","citing_paper":"/paper/2607.04433"},"observation_digest":"sha256:a8c6c81cad1e3d4e6ae8758c7c4c9ee89eea2f46f3b9c73141d3a1c2c9ecf6d4","observation_id":"d82953d1-cfa9-4cdc-8dd9-9f4e17481553","resolution":{"observed_at":"2026-07-11T19:14:13.105401Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.21931/citation-record","integrity":"/paper/2506.21931/integrity","json":"/paper/2506.21931/citation-record.json","paper":"/paper/2506.21931"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:39.493192Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:39.493192Z"},"links":{"citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:99e33167404a5b16b9385047d333c140ec8b2a213f62903a7df9ca2396682e25","observation_id":"8af179f3-2cda-4597-98f8-b0b846f7daeb","resolution":{"observed_at":"2026-08-06T22:18:39.493192Z","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":"2026-08-06T22:18:44.974527Z","title":null,"venue":null,"work_id":"dd4050e7-590d-4489-b3f3-aac5f8e5f8c1","year":2024},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:39.674665Z"},"links":{"citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:538b52dd472267bdc540b74a1ef07eb490268629f57414950cb0ab1566dd3cdf","observation_id":"33e54ffd-f2d5-4e49-b2e4-7a9ce5f2dfbc","resolution":{"observed_at":"2026-08-06T22:18:45.098983Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T22:18:44.659897Z","title":null,"venue":null,"work_id":"b951f7f3-6b96-4bac-bed6-1e4a89990653","year":2024},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:39.823491Z"},"links":{"citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:07a950a6cd8abe049946d6d45cbcdfd4ac883c1e5431219863c6ca4bbaf14aab","observation_id":"a3646726-57d3-4db9-948b-31b6b5c6377d","resolution":{"observed_at":"2026-08-06T22:18:44.829317Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:39.948298Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:39.948298Z"},"links":{"citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:9e35df024753e3347a97ee7dd18f56c43ab297d2a7d5fd3a14478fcc18cc8a12","observation_id":"2928c17a-8e7e-4511-80b0-4e028b28e11b","resolution":{"observed_at":"2026-08-06T22:18:39.948298Z","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":"2026-08-06T22:18:44.359913Z","title":null,"venue":null,"work_id":"0f736fb8-0f9f-4058-bd11-3b6061a8604d","year":2025},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:40.093469Z"},"links":{"citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:f8af0bbcce3fce0145406216e65d2a0d4470bb5eb7514cc6ecae9b4f14e89b72","observation_id":"5720c146-bf16-4d5f-a685-6b19773acc65","resolution":{"observed_at":"2026-08-06T22:18:44.520879Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.00352","last_updated":"2024-11-01T14:36:52Z","snapshot_observed_at":"2026-07-06T16:01:07.532053Z","submitted_at":"2023-08-01T07:49:10Z","title":"MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.00352","snapshot_observed_at":"2026-08-06T22:18:40.234409Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:40.234409Z"},"links":{"cited_paper":"/paper/2308.00352","citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:db894995ce270e19694c87d6b1737a27200dc379d679e566f915f78ad18a3515","observation_id":"1636ec98-31a0-4865-9d3c-dd2d0133ca08","resolution":{"observed_at":"2026-08-06T22:18:40.234409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06954","last_updated":"2024-02-20T21:11:23Z","snapshot_observed_at":"2026-08-03T20:24:49.827216Z","submitted_at":"2024-01-13T02:20:17Z","title":"Bridging the Preference Gap between Retrievers and LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06954","snapshot_observed_at":"2026-08-06T22:18:40.422048Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:40.422048Z"},"links":{"cited_paper":"/paper/2401.06954","citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:8c5b78df061f850a06fadf3925d2c0b09c349d584726d9d32b33a373db37195e","observation_id":"77962764-f8a3-4a2c-86ad-f0da08407528","resolution":{"observed_at":"2026-08-06T22:18:40.422048Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.12586","last_updated":"2025-02-18T06:42:38Z","snapshot_observed_at":"2026-07-06T20:38:25.164930Z","submitted_at":"2025-02-18T06:42:38Z","title":"G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation","version":1},"cited_work":{"arxiv_id":"2502.12586","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.12586","snapshot_observed_at":"2026-08-06T22:18:42.352943Z","title":"G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation","venue":"cs.IR","work_id":"d6607edc-2a30-4061-9eb4-adab6d75ff27","year":2025},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:40.617777Z"},"links":{"cited_paper":"/paper/2502.12586","citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:bb12a5df3ea11a86adc04a263c58a0f2ad51006d0e7a170129076aadc9e6874a","observation_id":"d1719fe0-1399-48b9-8f3a-2725b6a9a78a","resolution":{"observed_at":"2026-08-06T22:18:42.452689Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T22:18:44.070975Z","title":null,"venue":null,"work_id":"c7286801-8ddc-4b36-a2c6-bbb15e5f31e3","year":2022},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:40.715534Z"},"links":{"citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:ac2198627ea1be5ce1f0165f0b18fe2f6b01a04a0e347413a066c6387d041f2c","observation_id":"8da9cdf6-6d19-4e07-a57e-9b55bf540908","resolution":{"observed_at":"2026-08-06T22:18:44.250019Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.04695","last_updated":"2025-01-08T18:58:22Z","snapshot_observed_at":"2026-07-06T20:18:21.419068Z","submitted_at":"2025-01-08T18:58:22Z","title":"Re-ranking the Context for Multimodal Retrieval Augmented Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.04695","snapshot_observed_at":"2026-08-06T22:18:40.870273Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:40.870273Z"},"links":{"cited_paper":"/paper/2501.04695","citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:426e71b04d5ce03fecec0fed94d57c1340790120ec83ffc5606f9e38dffcfad3","observation_id":"617543b3-f938-45dc-86df-89c498130206","resolution":{"observed_at":"2026-08-06T22:18:40.870273Z","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":"2026-08-06T22:18:43.797949Z","title":null,"venue":null,"work_id":"1a15af14-82e8-4d01-bfba-0d7fee6bd267","year":1986},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:41.026866Z"},"links":{"citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:54115bfcd43a7cbb31cdd70250f8a4fedd231550ebd5f60582935eeabaf5416d","observation_id":"96b734a2-c42d-4a70-98ad-d2631962fc03","resolution":{"observed_at":"2026-08-06T22:18:43.932218Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:18:41.138145Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:41.138145Z"},"links":{"citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:7d38d4fb68a0b239409a261e548398107a59631e231f6814665178b4c62ecfd0","observation_id":"273e8737-dbb8-40e7-a3a5-80ef78dabc79","resolution":{"observed_at":"2026-08-06T22:18:41.138145Z","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":"2026-08-06T22:18:43.515800Z","title":null,"venue":null,"work_id":"715c4e62-f8b2-41f2-a70d-98d216cec609","year":2024},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:41.263118Z"},"links":{"citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:6dd648c195663aaa0bed0568e9644b80dcaf14212dea0cf615d7a3aaca82eeb6","observation_id":"50e9d5fe-a312-42d4-91e0-0ff7dacd0398","resolution":{"observed_at":"2026-08-06T22:18:43.645530Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.10081","last_updated":"2024-09-21T08:27:16Z","snapshot_observed_at":"2026-07-06T17:45:07.023305Z","submitted_at":"2024-03-15T07:45:37Z","title":"DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.10081","snapshot_observed_at":"2026-08-06T22:18:41.385483Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:41.385483Z"},"links":{"cited_paper":"/paper/2403.10081","citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:1017fcc23162bd6b46e7eefae9477f6587f54af5bb242b9cb1520b4e016c6bcc","observation_id":"f13ced0e-0ab0-4e09-a5da-64d6d12142c6","resolution":{"observed_at":"2026-08-06T22:18:41.385483Z","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":"2026-08-06T22:18:43.246971Z","title":null,"venue":null,"work_id":"7f42e920-0d5a-4722-84fe-4f4780921a6c","year":2024},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:41.526433Z"},"links":{"citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:8c77fcaaadc11f64ced47d6de5944c0aa20c4e2c63b43f42dd77a4f9f71011d5","observation_id":"3df5ea59-56c1-4c6f-a8d5-3917af6efc94","resolution":{"observed_at":"2026-08-06T22:18:43.400810Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03253","last_updated":"2023-12-06T02:58:49Z","snapshot_observed_at":"2026-08-01T23:44:06.276285Z","submitted_at":"2023-12-06T02:58:49Z","title":"Seller-side Outcome Fairness in Online Marketplaces","version":1},"cited_work":{"arxiv_id":"2312.03253","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.03253","snapshot_observed_at":"2026-08-06T22:18:42.151271Z","title":"Seller-side Outcome Fairness in Online Marketplaces","venue":"cs.LG","work_id":"3f875b8a-ea5f-4be2-b49f-52b3bf4e974a","year":2023},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:41.630212Z"},"links":{"cited_paper":"/paper/2312.03253","citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:9afbe152189449bbd4d816a8108a36a859bc213c62dcb9af4aec4af969e580cb","observation_id":"4684b533-5b56-42f5-89e3-a2fb943b1307","resolution":{"observed_at":"2026-08-06T22:18:42.236035Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T22:18:43.008375Z","title":null,"venue":null,"work_id":"4ab56bad-74b9-409c-821d-a3d99becd21b","year":2020},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:41.781105Z"},"links":{"citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:3ddd0a28bc9940b821bdd0781812850cd09a2b68f9614ef8dfdf43c045bbce25","observation_id":"9cb14cde-78d8-4545-9cee-78b5d65185fb","resolution":{"observed_at":"2026-08-06T22:18:43.132840Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T22:18:42.737898Z","title":null,"venue":null,"work_id":"40c22462-c5f8-4956-a4ae-12672a6c0730","year":2024},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:41.941914Z"},"links":{"citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:a5b0b7fe6ebf21fbacb6dc91c2410196660f349797f3bf02c95dfe453461b101","observation_id":"fa1c7aba-86a2-448d-bf3d-3f99d652a44e","resolution":{"observed_at":"2026-08-06T22:18:42.861904Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","latest_version":2,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":18},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 7 inbound Pith citation observations for arXiv:2506.21931."}