{"as_of":"2026-08-10T05:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5dffaa8f22067dc3d78bd2ce8b851db209cd94aaa6eb4315524b2ab64b686726","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":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":27,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T19:15:25.376826Z","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":"2026-07-03T18:28:48.389697Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-08-08T19:15:25.376826Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.06872","last_updated":"2025-02-08T06:50:47Z","snapshot_observed_at":"2026-08-08T19:10:42.419238Z","submitted_at":"2025-02-08T06:50:47Z","title":"Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-08T19:15:25.376826Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2502.06872"},"observation_digest":"sha256:5c1db99b4abc459b38f3173f61265b2af7e56c56c3f293625fbd7fc5de2e84ae","observation_id":"c2410254-209c-48ad-9f68-ae163ad551b7","resolution":{"observed_at":"2026-08-08T19:15:25.376826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":"2304.03879","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-07-03T18:28:48.389697Z","title":"GPT4Rec: A generative framework for personalized recommendation and user interests interpretation","venue":null,"work_id":"83ec6760-77a9-474f-8c63-966fd8732c37","year":2023},"citing_paper":{"arxiv_id":"2502.12187","last_updated":"2026-05-15T05:33:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-15T07:28:40Z","title":"Hallucinations are inevitable but can be made statistically negligible","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-23T02:41:59.640979Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2502.12187"},"observation_digest":"sha256:dd2498567a0c6845fb1c1074ba7255a537e31b58354e4386e97bbe3a9cf63a7a","observation_id":"b77671fd-d9e4-42ee-bf9f-365276cbffc3","resolution":{"observed_at":"2026-05-23T02:42:25.831520Z","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":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-08-07T11:35:39.892041Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.01910","last_updated":"2025-06-09T23:45:38Z","snapshot_observed_at":"2026-08-09T06:45:06.248004Z","submitted_at":"2025-06-02T17:31:42Z","title":"GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T11:35:39.892041Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2506.01910"},"observation_digest":"sha256:db1a517de5f78a3f6da2daeef88552389bbb5d886c7bcaf4846e33bc34f63606","observation_id":"3e1729ba-ac6a-40c6-93a9-e42356ec9d2a","resolution":{"observed_at":"2026-08-07T11:35:39.892041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-08-06T23:53:55.761970Z","title":"Gpt4rec: A generative framework for personalized recommendation and user interests interpretation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.15833","last_updated":"2025-06-18T19:18:49Z","snapshot_observed_at":"2026-08-09T08:32:55.418244Z","submitted_at":"2025-06-18T19:18:49Z","title":"Architecture is All You Need: Improving LLM Recommenders by Dropping the Text","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T23:53:55.761970Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2506.15833"},"observation_digest":"sha256:6aefd9a579f400c73fea52bd9068365f7bbedc9b93c987c4c07310bf1c2ac7c8","observation_id":"5852da57-f441-420c-9194-3c8ae48f0a80","resolution":{"observed_at":"2026-08-06T23:53:55.761970Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-08-06T23:12:32.288506Z","title":"Gpt4rec: A generative framework for personalized recommendation and user interests interpretation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.19235","last_updated":"2025-06-24T01:39:34Z","snapshot_observed_at":"2026-08-06T23:04:52.829402Z","submitted_at":"2025-06-24T01:39:34Z","title":"RecLLM-R1: A Two-Stage Training Paradigm with Reinforcement Learning and Chain-of-Thought v1","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T23:12:32.288506Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2506.19235"},"observation_digest":"sha256:7632e9a446b31ff709cd95874c515b9ea92c1be32d201107f8e63f78e1b97cbd","observation_id":"3898939a-803c-4bef-b330-1e6d4fa7d26b","resolution":{"observed_at":"2026-08-06T23:12:32.288506Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-08-06T23:04:14.129052Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.19993","last_updated":"2025-06-24T20:27:51Z","snapshot_observed_at":"2026-08-06T22:56:54.915714Z","submitted_at":"2025-06-24T20:27:51Z","title":"CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-06T23:04:14.129052Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2506.19993"},"observation_digest":"sha256:7d120418d71ee5fb9068fc599b4cd801ec3e9eb218be5afe26fb1c2fa0f0dc0a","observation_id":"b19397bb-0600-4e7a-90f7-de522b43cab0","resolution":{"observed_at":"2026-08-06T23:04:14.129052Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-08-06T16:41:38.411496Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12871","last_updated":"2025-08-07T08:36:01Z","snapshot_observed_at":"2026-08-09T13:22:42.744845Z","submitted_at":"2025-07-17T07:44:05Z","title":"Generative Multi-Target Cross-Domain Recommendation","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T16:41:38.411496Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2507.12871"},"observation_digest":"sha256:457341b2dfc6ec45f2586bd0b7da31bddbc8877fb7c4e4348bf31ba8666d520c","observation_id":"8b5370f7-3f98-4f25-a0de-4da1942b86ef","resolution":{"observed_at":"2026-08-06T16:41:38.411496Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-08-06T15:55:20.824447Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.14758","last_updated":"2025-07-19T21:23:23Z","snapshot_observed_at":"2026-08-09T22:10:44.046386Z","submitted_at":"2025-07-19T21:23:23Z","title":"GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T15:55:20.824447Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2507.14758"},"observation_digest":"sha256:4deb4443dc87531b56fde4f1d5f9e518a53f713c7d407764425741f3e51753e7","observation_id":"ffc48f35-356f-43f5-9aa1-bcce36717a89","resolution":{"observed_at":"2026-08-06T15:55:20.824447Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-08-06T15:17:52.811002Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.16289","last_updated":"2025-07-22T07:20:52Z","snapshot_observed_at":"2026-08-10T04:09:27.313006Z","submitted_at":"2025-07-22T07:20:52Z","title":"Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T15:17:52.811002Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2507.16289"},"observation_digest":"sha256:91463b41014e10de530de78cc25d04bb94bd7798c6b38bbebc913e74ebb18515","observation_id":"66e078cb-3a32-4c17-802b-68eca18f9cc1","resolution":{"observed_at":"2026-08-06T15:17:52.811002Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-08-06T13:53:58.298841Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.19990","last_updated":"2025-07-26T15:59:25Z","snapshot_observed_at":"2026-08-06T13:53:55.342988Z","submitted_at":"2025-07-26T15:59:25Z","title":"Improving the Performance of Sequential Recommendation Systems with an Extended Large Language Model","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T13:53:58.298841Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2507.19990"},"observation_digest":"sha256:91aa80766871ce4d355d54f18e9829414b7beda7d77ed80da88da3e86d74d946","observation_id":"196881af-44f6-4bad-affb-7c52e28665fc","resolution":{"observed_at":"2026-08-06T13:53:58.298841Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-08-05T10:46:49.203408Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.03746","last_updated":"2025-09-03T22:09:57Z","snapshot_observed_at":"2026-08-09T08:07:24.561087Z","submitted_at":"2025-09-03T22:09:57Z","title":"Efficient Item ID Generation for Large-Scale LLM-based Recommendation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T10:46:49.203408Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2509.03746"},"observation_digest":"sha256:8a7f9b00804f2cdc55f2c57a3b6663b66e2fae651fd417a276c0b603dd62ce11","observation_id":"b4bf5f92-5a0a-4af7-8425-66eb26d4aff9","resolution":{"observed_at":"2026-08-05T10:46:49.203408Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-08-04T23:54:00.567764Z","title":"Gpt4rec: A generative framework for personalized recommendation and user interests interpretation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.06286","last_updated":"2025-09-08T02:15:55Z","snapshot_observed_at":"2026-08-09T00:52:28.912052Z","submitted_at":"2025-09-08T02:15:55Z","title":"RecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer Recommendations","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T23:54:00.567764Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2509.06286"},"observation_digest":"sha256:58a47ddcd68f0a60960a6db165efdad9e30ce5d3f5f6eb43996e08ec2eb3cd93","observation_id":"34536199-543b-48ca-b535-12c7e6e659cc","resolution":{"observed_at":"2026-08-04T23:54:00.567764Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-08-04T13:46:14.907258Z","title":"Gpt4rec: A generative framework for personalized recommendation and user interests interpretation.arXiv preprint arXiv:2304.03879,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.25522","last_updated":"2026-06-04T23:14:09Z","snapshot_observed_at":"2026-08-05T11:58:53.582807Z","submitted_at":"2025-09-29T21:24:17Z","title":"Understanding Generative Recommendation with Semantic IDs from a Model-scaling View","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T13:46:14.907258Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2509.25522"},"observation_digest":"sha256:4d8ce5ee7e72f54486775b90ea97ce4a2fc37f010734acd1d7c1ff71626831d0","observation_id":"e1e2a640-15b0-4689-b4df-78e99ec81943","resolution":{"observed_at":"2026-08-04T13:46:14.907258Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-08-04T10:43:24.517821Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.08948","last_updated":"2026-06-01T10:09:40Z","snapshot_observed_at":"2026-08-04T10:43:21.913963Z","submitted_at":"2025-10-10T02:57:58Z","title":"SHERLOCK: Towards Dynamic Knowledge Adaptation in LLM-enhanced E-commerce Risk Management","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T10:43:24.517821Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2510.08948"},"observation_digest":"sha256:e11b1731e4f299d6201f9d5020e218611056ad7030a10eb2fc8af5eb1adaa7c3","observation_id":"95888562-5da7-4f56-8594-85e20caa2adf","resolution":{"observed_at":"2026-08-04T10:43:24.517821Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":"2304.03879","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-07-03T18:28:48.389697Z","title":"GPT4Rec: A generative framework for personalized recommendation and user interests interpretation","venue":null,"work_id":"83ec6760-77a9-474f-8c63-966fd8732c37","year":2023},"citing_paper":{"arxiv_id":"2604.12372","last_updated":"2026-04-14T06:59:40Z","snapshot_observed_at":"2026-08-04T00:46:57.883459Z","submitted_at":"2026-04-14T06:59:40Z","title":"Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T15:46:48.150861Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2604.12372"},"observation_digest":"sha256:f6c7ffce4d4dee508bca3306f639f7a2ac58e849df2dfce88c4b71631841b62b","observation_id":"146641c3-67f6-40b5-84ca-860bfa8ed712","resolution":{"observed_at":"2026-05-11T09:51:00.970667Z","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":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":"2304.03879","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-07-03T18:28:48.389697Z","title":"GPT4Rec: A generative framework for personalized recommendation and user interests interpretation","venue":null,"work_id":"83ec6760-77a9-474f-8c63-966fd8732c37","year":2023},"citing_paper":{"arxiv_id":"2604.16379","last_updated":"2026-07-29T02:00:28Z","snapshot_observed_at":"2026-08-07T02:09:21.099938Z","submitted_at":"2026-03-25T02:49:27Z","title":"LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-15T01:16:10.008948Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2604.16379"},"observation_digest":"sha256:1f62d861524cc7668e2a30fb9b1574cc5ab5f8b72daf7e9dc1c1c2258f013d2b","observation_id":"afa287a5-1fa0-422e-8063-b8a9e4194198","resolution":{"observed_at":"2026-05-15T01:18:26.524450Z","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":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-08-02T17:37:38.514995Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2604.16379","last_updated":"2026-07-29T02:00:28Z","snapshot_observed_at":"2026-08-07T02:09:21.099938Z","submitted_at":"2026-03-25T02:49:27Z","title":"LLMAR: A Tuning-Free Recommendation Framework for Sparse and Text-Rich Industrial Domains","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T17:37:38.514995Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2604.16379"},"observation_digest":"sha256:5c7e985c47f0819d739a08f0457e2875cadb11c6b67eba1b1614ba7e631962a9","observation_id":"2297e880-1188-4990-a24d-c778fdcb9fb7","resolution":{"observed_at":"2026-08-02T17:37:38.514995Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":"2304.03879","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-07-03T18:28:48.389697Z","title":"GPT4Rec: A generative framework for personalized recommendation and user interests interpretation","venue":null,"work_id":"83ec6760-77a9-474f-8c63-966fd8732c37","year":2023},"citing_paper":{"arxiv_id":"2605.02902","last_updated":"2026-03-30T14:06:54Z","snapshot_observed_at":"2026-08-02T19:13:49.175795Z","submitted_at":"2026-03-30T14:06:54Z","title":"From Passive Feeds to Guided Discovery: AI-Initiated Interaction for Vague Intent in Content Exploration","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-14T22:08:18.893624Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2605.02902"},"observation_digest":"sha256:e0f6b457f6c2723d4c9b466f0655bd4510df2ddfaf3da4035dd940ec925b7e81","observation_id":"cc7971e6-7db7-4ecd-8ec5-f5f7db35b4fc","resolution":{"observed_at":"2026-05-14T22:09:30.819823Z","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":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":"2304.03879","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-07-03T18:28:48.389697Z","title":"GPT4Rec: A generative framework for personalized recommendation and user interests interpretation","venue":null,"work_id":"83ec6760-77a9-474f-8c63-966fd8732c37","year":2023},"citing_paper":{"arxiv_id":"2605.07443","last_updated":"2026-05-08T08:47:50Z","snapshot_observed_at":"2026-07-06T23:19:51.414344Z","submitted_at":"2026-05-08T08:47:50Z","title":"RcLLM: Accelerating Generative Recommendation via Beyond-Prefix KV Caching","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-11T02:07:29.141193Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2605.07443"},"observation_digest":"sha256:4e73520051c9407c505db2a7cd4ffee1aefc2c5ba46afab2a186f7c5ef3ea137","observation_id":"00c97d90-0ca5-4ad5-9188-4a2d5b6ff7d2","resolution":{"observed_at":"2026-05-11T03:55:56.403844Z","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":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":"2304.03879","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-07-03T18:28:48.389697Z","title":"GPT4Rec: A generative framework for personalized recommendation and user interests interpretation","venue":null,"work_id":"83ec6760-77a9-474f-8c63-966fd8732c37","year":2023},"citing_paper":{"arxiv_id":"2605.15203","last_updated":"2026-04-03T01:53:05Z","snapshot_observed_at":"2026-07-06T23:26:32.979566Z","submitted_at":"2026-04-03T01:53:05Z","title":"Agent4POI: Agentic Context-Conditioned Affordance Reasoning for Multimodal Point-of-Interest Recommendation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-19T17:36:33.004577Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2605.15203"},"observation_digest":"sha256:fbdd22649b713ced1d933eae9a0c7c3379da3ffe0206ad950c5289a0e95574c3","observation_id":"e70b045b-3061-4a12-a4f3-665774cc7a21","resolution":{"observed_at":"2026-05-19T17:37:41.385034Z","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":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":"2304.03879","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-07-03T18:28:48.389697Z","title":"GPT4Rec: A generative framework for personalized recommendation and user interests interpretation","venue":null,"work_id":"83ec6760-77a9-474f-8c63-966fd8732c37","year":2023},"citing_paper":{"arxiv_id":"2605.17994","last_updated":"2026-05-18T07:50:15Z","snapshot_observed_at":"2026-08-03T22:30:47.509117Z","submitted_at":"2026-05-18T07:50:15Z","title":"Towards Sustainable Growth: A Multi-Value-Aware Retrieval Framework for E-Commerce Search","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-20T00:48:49.792353Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2605.17994"},"observation_digest":"sha256:b989efa98635ab98e9fb6c2ee848453635a387aaef2113fd22390a9ea14015af","observation_id":"c64e30f1-dd8c-4ab9-9711-6c47021e71da","resolution":{"observed_at":"2026-05-20T00:52:54.855976Z","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":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":"2304.03879","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-07-03T18:28:48.389697Z","title":"GPT4Rec: A generative framework for personalized recommendation and user interests interpretation","venue":null,"work_id":"83ec6760-77a9-474f-8c63-966fd8732c37","year":2023},"citing_paper":{"arxiv_id":"2605.18780","last_updated":"2026-04-29T06:13:39Z","snapshot_observed_at":"2026-08-08T01:45:33.406780Z","submitted_at":"2026-04-29T06:13:39Z","title":"A Reproducibility Analysis of PO4ISR: Diagnosing and Mitigating Semantic Drift in LLM-Based Session Recommendation","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-05-21T00:45:14.845401Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2605.18780"},"observation_digest":"sha256:46311ce9a643b8cd30a6ab7ec60c3fef743945dfdc27e402cfd660d62b17e53f","observation_id":"ae96bd3c-8603-4021-b5b2-5457efb6da24","resolution":{"observed_at":"2026-05-21T00:49:19.538207Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":"2304.03879","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-07-03T18:28:48.389697Z","title":"GPT4Rec: A generative framework for personalized recommendation and user interests interpretation","venue":null,"work_id":"83ec6760-77a9-474f-8c63-966fd8732c37","year":2023},"citing_paper":{"arxiv_id":"2605.27810","last_updated":"2026-05-27T01:04:36Z","snapshot_observed_at":"2026-08-02T00:44:01.035863Z","submitted_at":"2026-05-27T01:04:36Z","title":"LRanker: LLM Ranker for Massive Candidates","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-29T10:30:39.472561Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2605.27810"},"observation_digest":"sha256:a7e70c2d16d47ace9768585d05de50e2b83c3aa9c11658d14da2b4eb9b23eac6","observation_id":"99ad37ef-535b-49ae-b74a-ecde9d85b341","resolution":{"observed_at":"2026-06-29T10:33:18.838566Z","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":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":"2304.03879","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-07-03T18:28:48.389697Z","title":"GPT4Rec: A generative framework for personalized recommendation and user interests interpretation","venue":null,"work_id":"83ec6760-77a9-474f-8c63-966fd8732c37","year":2023},"citing_paper":{"arxiv_id":"2607.01485","last_updated":"2026-07-01T21:27:52Z","snapshot_observed_at":"2026-07-07T00:07:04.211507Z","submitted_at":"2026-07-01T21:27:52Z","title":"CoPersona: Collaborative Persona Graphs for Robust LLM Personalization","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-03T18:20:53.930801Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2607.01485"},"observation_digest":"sha256:242fbfca0ccdcd5a44adb89e5fad684428cc246a0e54f821698b07c6f47483ca","observation_id":"8bf75cb9-2526-44cd-b7b0-b1adde236897","resolution":{"observed_at":"2026-07-03T18:28:48.392265Z","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":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-07-14T10:57:10.309919Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.10541","last_updated":"2026-07-15T10:06:25Z","snapshot_observed_at":"2026-08-05T19:24:48.537724Z","submitted_at":"2026-07-12T02:53:17Z","title":"RecRec: Recursive Refinement for Sequential Recommendation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-14T10:57:10.309919Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2607.10541"},"observation_digest":"sha256:563844704eebbefb0477708902c57e28bb9c18c116453c25468da3c12fe78bab","observation_id":"e23a9e14-a96d-490b-bd11-1b55d11d0130","resolution":{"observed_at":"2026-07-14T10:57:10.309919Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-08-02T07:17:32.891408Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.10541","last_updated":"2026-07-15T10:06:25Z","snapshot_observed_at":"2026-08-05T19:24:48.537724Z","submitted_at":"2026-07-12T02:53:17Z","title":"RecRec: Recursive Refinement for Sequential Recommendation","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T07:17:32.891408Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2607.10541"},"observation_digest":"sha256:56f545c3aba35078ccd4136807c1a10937d11cbf48a2e9ddd06a33c0a213911f","observation_id":"a483fb8c-1684-4b53-9b14-e9ad5ea6605e","resolution":{"observed_at":"2026-08-02T07:17:32.891408Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03879","last_updated":"2023-04-08T00:30:08Z","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03879","snapshot_observed_at":"2026-08-03T00:49:17.026489Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.28659","last_updated":"2026-07-21T08:01:15Z","snapshot_observed_at":"2026-08-07T03:04:31.829367Z","submitted_at":"2026-07-21T08:01:15Z","title":"Empowering Cross-Domain Sequential Recommendation with Hybrid Tokenization and Serial-Parallel Decoding","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T00:49:17.026489Z"},"links":{"cited_paper":"/paper/2304.03879","citing_paper":"/paper/2607.28659"},"observation_digest":"sha256:ed9a838b3941aad173a465403c73f912ec1f46d71d7b87ea6151dff5779d0ad6","observation_id":"5ecea4a0-efeb-4beb-ac13-06195df012d3","resolution":{"observed_at":"2026-08-03T00:49:17.026489Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2304.03879/citation-record","integrity":"/paper/2304.03879/integrity","json":"/paper/2304.03879/citation-record.json","paper":"/paper/2304.03879"},"outbound":[],"paper":{"arxiv_id":"2304.03879","last_updated":"2023-04-08T00:30:08Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-07-06T15:13:33.023550Z","submitted_at":"2023-04-08T00:30:08Z","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation"},"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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2304.03879."}