{"as_of":"2026-08-20T08:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:36c18ad47cdfcd274daf9a7b45344936bd7b7891db83594ada843f75d2a5f3de","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:16:29.619491Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":6,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.11598","last_updated":"2023-05-19T11:20:37Z","snapshot_observed_at":"2026-08-20T02:05:10.771678Z","submitted_at":"2023-05-19T11:20:37Z","title":"Introspective Tips: Large Language Model for In-Context Decision Making","version":1},"cited_work":{"arxiv_id":"2305.11598","doi":"10.48550/arxiv.2305.11598","metadata_source":"arxiv_reference","pith_arxiv_id":"2305.11598","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Introspective tips: Large language model for in-context decision making","venue":"arXiv (Cornell University)","work_id":"e980d1f8-d01c-4750-90c4-a4077aa1597f","year":2023},"citing_paper":{"arxiv_id":"2308.11432","last_updated":"2025-03-02T04:04:03Z","snapshot_observed_at":"2026-08-17T02:16:24.215789Z","submitted_at":"2023-08-22T13:30:37Z","title":"A Survey on Large Language Model based Autonomous Agents","version":7},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-05-15T04:03:00.340349Z"},"links":{"cited_paper":"/paper/2305.11598","citing_paper":"/paper/2308.11432"},"observation_digest":"sha256:ff95984eecc5965e138d9c504017214ed673178d817a795f5284807000e9d223","observation_id":"c90fa64d-891c-4846-a16a-3dc842869e16","resolution":{"observed_at":"2026-05-15T04:03:01.245652Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.11598","last_updated":"2023-05-19T11:20:37Z","snapshot_observed_at":"2026-08-20T02:05:10.771678Z","submitted_at":"2023-05-19T11:20:37Z","title":"Introspective Tips: Large Language Model for In-Context Decision Making","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.11598","snapshot_observed_at":"2026-08-16T11:16:29.619491Z","title":"Introspective tips: Large language model for in-context decision making.arXiv preprint arXiv:2305.11598,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.16078","last_updated":"2025-04-22T17:57:14Z","snapshot_observed_at":"2026-08-16T15:32:07.519785Z","submitted_at":"2025-04-22T17:57:14Z","title":"LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T11:16:29.619491Z"},"links":{"cited_paper":"/paper/2305.11598","citing_paper":"/paper/2504.16078"},"observation_digest":"sha256:6c099ec1e7fd5736b19d0dc4957abf76a1f468249597ee2df08938280131fb67","observation_id":"7b1f57e6-e137-488b-9a89-1a645b22dd5f","resolution":{"observed_at":"2026-08-16T11:16:29.619491Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.11598","last_updated":"2023-05-19T11:20:37Z","snapshot_observed_at":"2026-08-20T02:05:10.771678Z","submitted_at":"2023-05-19T11:20:37Z","title":"Introspective Tips: Large Language Model for In-Context Decision Making","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.11598","snapshot_observed_at":"2026-08-15T20:52:15.839099Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.11887","last_updated":"2025-05-17T07:44:54Z","snapshot_observed_at":"2026-08-18T08:22:00.747133Z","submitted_at":"2025-05-17T07:44:54Z","title":"AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T20:52:15.839099Z"},"links":{"cited_paper":"/paper/2305.11598","citing_paper":"/paper/2505.11887"},"observation_digest":"sha256:a4fa5ad89943a598cab897db34e2c1c31a33a008612c71e5ea966f418a320978","observation_id":"3ae1315f-b2e0-4ea2-be39-cdbecc09e727","resolution":{"observed_at":"2026-08-15T20:52:15.839099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.11598","last_updated":"2023-05-19T11:20:37Z","snapshot_observed_at":"2026-08-20T02:05:10.771678Z","submitted_at":"2023-05-19T11:20:37Z","title":"Introspective Tips: Large Language Model for In-Context Decision Making","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.11598","snapshot_observed_at":"2026-08-07T10:43:37.303075Z","title":"Introspective tips: Large language model for in-context decision making,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.04594","last_updated":"2025-06-05T03:19:57Z","snapshot_observed_at":"2026-08-18T08:50:38.486079Z","submitted_at":"2025-06-05T03:19:57Z","title":"Intelligent Channel Allocation for IEEE 802.11be Multi-Link Operation: When MAB Meets LLM","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T10:43:37.303075Z"},"links":{"cited_paper":"/paper/2305.11598","citing_paper":"/paper/2506.04594"},"observation_digest":"sha256:9f73b5c24d3f641b137cc00cec1216bdf54b144640797831f835829110d39077","observation_id":"20d63e48-9f28-4b01-b899-26da8ed7c3bd","resolution":{"observed_at":"2026-08-07T10:43:37.303075Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.11598","last_updated":"2023-05-19T11:20:37Z","snapshot_observed_at":"2026-08-20T02:05:10.771678Z","submitted_at":"2023-05-19T11:20:37Z","title":"Introspective Tips: Large Language Model for In-Context Decision Making","version":1},"cited_work":{"arxiv_id":"2305.11598","doi":"10.48550/arxiv.2305.11598","metadata_source":"arxiv_reference","pith_arxiv_id":"2305.11598","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Introspective tips: Large language model for in-context decision making","venue":"arXiv (Cornell University)","work_id":"e980d1f8-d01c-4750-90c4-a4077aa1597f","year":2023},"citing_paper":{"arxiv_id":"2510.16079","last_updated":"2026-05-16T02:57:47Z","snapshot_observed_at":"2026-08-16T07:40:12.166586Z","submitted_at":"2025-10-17T12:03:16Z","title":"EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-18T06:19:44.360734Z"},"links":{"cited_paper":"/paper/2305.11598","citing_paper":"/paper/2510.16079"},"observation_digest":"sha256:8c0b69991472466ff1d4a11ccbd7bbdfb1ed4762f92aba79d617ac9bf8204cd4","observation_id":"b61fc81c-c2f8-4eac-8c1a-8e679d118fdd","resolution":{"observed_at":"2026-05-18T06:20:58.288830Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.11598","last_updated":"2023-05-19T11:20:37Z","snapshot_observed_at":"2026-08-20T02:05:10.771678Z","submitted_at":"2023-05-19T11:20:37Z","title":"Introspective Tips: Large Language Model for In-Context Decision Making","version":1},"cited_work":{"arxiv_id":"2305.11598","doi":"10.48550/arxiv.2305.11598","metadata_source":"arxiv_reference","pith_arxiv_id":"2305.11598","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Introspective tips: Large language model for in-context decision making","venue":"arXiv (Cornell University)","work_id":"e980d1f8-d01c-4750-90c4-a4077aa1597f","year":2023},"citing_paper":{"arxiv_id":"2510.16079","last_updated":"2026-05-16T02:57:47Z","snapshot_observed_at":"2026-08-16T07:40:12.166586Z","submitted_at":"2025-10-17T12:03:16Z","title":"EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-21T20:50:06.642976Z"},"links":{"cited_paper":"/paper/2305.11598","citing_paper":"/paper/2510.16079"},"observation_digest":"sha256:257d3bf5af9d178ca70891693d63fd93181fc8130d9b8863dc4aa6e2a87e307a","observation_id":"f0bedbe0-f36d-4f2e-b5d4-8963a9913716","resolution":{"observed_at":"2026-05-21T20:50:36.422035Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.11598","last_updated":"2023-05-19T11:20:37Z","snapshot_observed_at":"2026-08-20T02:05:10.771678Z","submitted_at":"2023-05-19T11:20:37Z","title":"Introspective Tips: Large Language Model for In-Context Decision Making","version":1},"cited_work":{"arxiv_id":"2305.11598","doi":"10.48550/arxiv.2305.11598","metadata_source":"arxiv_reference","pith_arxiv_id":"2305.11598","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Introspective tips: Large language model for in-context decision making","venue":"arXiv (Cornell University)","work_id":"e980d1f8-d01c-4750-90c4-a4077aa1597f","year":2023},"citing_paper":{"arxiv_id":"2606.07603","last_updated":"2026-05-29T09:31:39Z","snapshot_observed_at":"2026-08-08T05:15:40.740084Z","submitted_at":"2026-05-29T09:31:39Z","title":"MetaEvo: A Meta-Optimization Framework for Experience-Driven Agent Evolution","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-06-28T23:36:38.989358Z"},"links":{"cited_paper":"/paper/2305.11598","citing_paper":"/paper/2606.07603"},"observation_digest":"sha256:a835d18718542b2ed3678dd6c65b93d6dde9a9ab2c23d5eb2eaf888d5f0fbeb8","observation_id":"8dfdd0fd-6cb4-4e5c-a3b5-0cd3c6f923a9","resolution":{"observed_at":"2026-06-28T23:42:49.123792Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.11598","last_updated":"2023-05-19T11:20:37Z","snapshot_observed_at":"2026-08-20T02:05:10.771678Z","submitted_at":"2023-05-19T11:20:37Z","title":"Introspective Tips: Large Language Model for In-Context Decision Making","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.11598","snapshot_observed_at":"2026-08-01T21:29:42.517342Z","title":"Multi-agent collaboration: Harnessing the power of LLMs.arXiv preprint arXiv:2305.11598, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.16066","last_updated":"2026-07-17T15:47:23Z","snapshot_observed_at":"2026-08-20T03:50:37.423402Z","submitted_at":"2026-07-17T15:47:23Z","title":"LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-01T21:29:42.517342Z"},"links":{"cited_paper":"/paper/2305.11598","citing_paper":"/paper/2607.16066"},"observation_digest":"sha256:85e5286abe821bc71a644addff84f9f819715bfc90e41970533c8e68921a5fb4","observation_id":"8a8d9809-e74c-4622-9f2c-6a3f077b7056","resolution":{"observed_at":"2026-08-01T21:29:42.517342Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.11598","last_updated":"2023-05-19T11:20:37Z","snapshot_observed_at":"2026-08-20T02:05:10.771678Z","submitted_at":"2023-05-19T11:20:37Z","title":"Introspective Tips: Large Language Model for In-Context Decision Making","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.11598","snapshot_observed_at":"2026-07-31T12:39:13.979151Z","title":"Introspective tips: Large language model for in-context decision making.arXiv preprint arXiv:2305.11598, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.28272","last_updated":"2026-07-30T14:25:49Z","snapshot_observed_at":"2026-08-18T12:33:40.733069Z","submitted_at":"2026-07-30T14:25:49Z","title":"MemHarness: Memory Is Reconstructed, Not Replayed","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-31T12:39:13.979151Z"},"links":{"cited_paper":"/paper/2305.11598","citing_paper":"/paper/2607.28272"},"observation_digest":"sha256:a59d863cf1b6ccf6bbb9bcf455849c2d2e556af128c1ff0af977a9b71f16bdd4","observation_id":"a18c6404-ad7b-4053-94c1-239f135d712e","resolution":{"observed_at":"2026-07-31T12:39:13.979151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2305.11598/citation-record","integrity":"/paper/2305.11598/integrity","json":"/paper/2305.11598/citation-record.json","paper":"/paper/2305.11598"},"outbound":[],"paper":{"arxiv_id":"2305.11598","last_updated":"2023-05-19T11:20:37Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-20T02:05:10.771678Z","submitted_at":"2023-05-19T11:20:37Z","title":"Introspective Tips: Large Language Model for In-Context Decision Making"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2305.11598."}