{"as_of":"2026-08-07T18:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8e5578b73eca0ac984f25def18793664cd4a7ec82570fac6f43ede8b820b93a1","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T06:52:17.232759Z","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":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.00234","last_updated":"2025-05-16T21:52:57Z","snapshot_observed_at":"2026-08-07T15:57:30.270614Z","submitted_at":"2025-05-01T00:48:12Z","title":"Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks","version":3},"cited_work":{"arxiv_id":"2505.00234","doi":"10.48550/arxiv.2505.00234","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.00234","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Self-generated in-context examples improve LLM agents for sequential decision-making tasks","venue":"ArXiv.org","work_id":"ff3b9960-0934-4f0f-b772-18ee77993ba3","year":2025},"citing_paper":{"arxiv_id":"2512.17052","last_updated":"2026-04-17T13:55:44Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-18T20:40:25Z","title":"Dynamic Tool Dependency Retrieval for Lightweight Function Calling","version":4},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-05-16T21:13:49.210602Z"},"links":{"cited_paper":"/paper/2505.00234","citing_paper":"/paper/2512.17052"},"observation_digest":"sha256:f9ad3664db716e4de97d7dad8c087ba96a21268f16a4de4a5644415875558462","observation_id":"6f73a2d5-e9c5-4c58-87b8-ddcd0b107500","resolution":{"observed_at":"2026-05-16T21:18:32.802582Z","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":"2026-05-23T16:25:09.682714+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T16:25:09.682714+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00234","last_updated":"2025-05-16T21:52:57Z","snapshot_observed_at":"2026-08-07T15:57:30.270614Z","submitted_at":"2025-05-01T00:48:12Z","title":"Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks","version":3},"cited_work":{"arxiv_id":"2505.00234","doi":"10.48550/arxiv.2505.00234","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.00234","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Self-generated in-context examples improve LLM agents for sequential decision-making tasks","venue":"ArXiv.org","work_id":"ff3b9960-0934-4f0f-b772-18ee77993ba3","year":2025},"citing_paper":{"arxiv_id":"2605.16233","last_updated":"2026-05-15T17:42:49Z","snapshot_observed_at":"2026-08-01T17:51:40.270050Z","submitted_at":"2026-05-15T17:42:49Z","title":"FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-20T18:47:34.221197Z"},"links":{"cited_paper":"/paper/2505.00234","citing_paper":"/paper/2605.16233"},"observation_digest":"sha256:a4f40b14f0617706dc37b72752bfabc98bac17b3c86b5db4b166f8dbd8ceceaa","observation_id":"d1c5373a-8336-41f0-987e-194b82e90bb4","resolution":{"observed_at":"2026-05-20T18:48:53.269342Z","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":"2026-05-23T16:25:09.682714+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T16:25:09.682714+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00234","last_updated":"2025-05-16T21:52:57Z","snapshot_observed_at":"2026-08-07T15:57:30.270614Z","submitted_at":"2025-05-01T00:48:12Z","title":"Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks","version":3},"cited_work":{"arxiv_id":"2505.00234","doi":"10.48550/arxiv.2505.00234","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.00234","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Self-generated in-context examples improve LLM agents for sequential decision-making tasks","venue":"ArXiv.org","work_id":"ff3b9960-0934-4f0f-b772-18ee77993ba3","year":2025},"citing_paper":{"arxiv_id":"2605.17187","last_updated":"2026-05-16T22:52:11Z","snapshot_observed_at":"2026-07-06T23:28:12.114488Z","submitted_at":"2026-05-16T22:52:11Z","title":"PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-05-20T14:05:14.737146Z"},"links":{"cited_paper":"/paper/2505.00234","citing_paper":"/paper/2605.17187"},"observation_digest":"sha256:a6583863b87c6a3d1bcb970ae3d2c86170fbfc3390e5d71978e3eda8acb422cd","observation_id":"4fbad889-1382-4ade-aac8-c3986ac99383","resolution":{"observed_at":"2026-05-20T14:08:20.637082Z","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":"2026-05-23T16:25:09.682714+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T16:25:09.682714+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00234","last_updated":"2025-05-16T21:52:57Z","snapshot_observed_at":"2026-08-07T15:57:30.270614Z","submitted_at":"2025-05-01T00:48:12Z","title":"Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks","version":3},"cited_work":{"arxiv_id":"2505.00234","doi":"10.48550/arxiv.2505.00234","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.00234","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Self-generated in-context examples improve LLM agents for sequential decision-making tasks","venue":"ArXiv.org","work_id":"ff3b9960-0934-4f0f-b772-18ee77993ba3","year":2025},"citing_paper":{"arxiv_id":"2605.20477","last_updated":"2026-05-19T20:41:12Z","snapshot_observed_at":"2026-07-06T23:31:03.878152Z","submitted_at":"2026-05-19T20:41:12Z","title":"Training Language Agents to Learn from Experience","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-21T07:11:09.642275Z"},"links":{"cited_paper":"/paper/2505.00234","citing_paper":"/paper/2605.20477"},"observation_digest":"sha256:a8e91b416d948b2f7fecd8a2e9ba87856d9cb846f06a0c9178aca67d36fb3b72","observation_id":"f3822e6a-619b-4f23-9b07-9fa736463b64","resolution":{"observed_at":"2026-05-21T07:14:02.632692Z","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":"2026-05-23T16:25:09.682714+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T16:25:09.682714+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00234","last_updated":"2025-05-16T21:52:57Z","snapshot_observed_at":"2026-08-07T15:57:30.270614Z","submitted_at":"2025-05-01T00:48:12Z","title":"Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks","version":3},"cited_work":{"arxiv_id":"2505.00234","doi":"10.48550/arxiv.2505.00234","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.00234","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Self-generated in-context examples improve LLM agents for sequential decision-making tasks","venue":"ArXiv.org","work_id":"ff3b9960-0934-4f0f-b772-18ee77993ba3","year":2025},"citing_paper":{"arxiv_id":"2605.22154","last_updated":"2026-05-21T08:25:17Z","snapshot_observed_at":"2026-07-30T19:02:11.122375Z","submitted_at":"2026-05-21T08:25:17Z","title":"IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-22T06:21:56.971204Z"},"links":{"cited_paper":"/paper/2505.00234","citing_paper":"/paper/2605.22154"},"observation_digest":"sha256:e93cbc5539afcfc07d26f5c22751d705fb6b716bf5b538a54f49410c79bcecdc","observation_id":"7e13be59-e675-4c39-87d0-87265bc85e17","resolution":{"observed_at":"2026-05-22T06:24:40.511870Z","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":"2026-05-23T16:25:09.682714+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T16:25:09.682714+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00234","last_updated":"2025-05-16T21:52:57Z","snapshot_observed_at":"2026-08-07T15:57:30.270614Z","submitted_at":"2025-05-01T00:48:12Z","title":"Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks","version":3},"cited_work":{"arxiv_id":"2505.00234","doi":"10.48550/arxiv.2505.00234","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.00234","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Self-generated in-context examples improve LLM agents for sequential decision-making tasks","venue":"ArXiv.org","work_id":"ff3b9960-0934-4f0f-b772-18ee77993ba3","year":2025},"citing_paper":{"arxiv_id":"2606.04628","last_updated":"2026-06-03T09:01:46Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-06-03T09:01:46Z","title":"RAMPART: Registry-based Agentic Memory with Priority-Aware Runtime Transformation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-28T06:52:17.232759Z"},"links":{"cited_paper":"/paper/2505.00234","citing_paper":"/paper/2606.04628"},"observation_digest":"sha256:8f55fa892adba5214ca881f91faaf5f8ff123ea57aea4e655cd0059a4504fdd1","observation_id":"d97938c7-3bd3-4195-8a2f-115eb7cb90d8","resolution":{"observed_at":"2026-07-02T07:36:44.957577Z","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":"2026-05-23T16:25:09.682714+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T16:25:09.682714+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.00234/citation-record","integrity":"/paper/2505.00234/integrity","json":"/paper/2505.00234/citation-record.json","paper":"/paper/2505.00234"},"outbound":[],"paper":{"arxiv_id":"2505.00234","last_updated":"2025-05-16T21:52:57Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T15:57:30.270614Z","submitted_at":"2025-05-01T00:48:12Z","title":"Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks"},"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":"2026-08-07T06:34:17.273281+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 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2505.00234."}