{"as_of":"2026-08-06T13:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:51d9e320b52200737aca4f39f02b67da369d12bc7ab534d635959de18ea7042c","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-11T01:11:10.959395Z","state":"measured"},{"denominator":47,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":47,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T13:31:21.537058Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.07042","snapshot_observed_at":"2026-08-04T13:31:21.537058Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.02163","last_updated":"2026-08-03T12:43:00Z","snapshot_observed_at":"2026-08-06T12:19:58.643193Z","submitted_at":"2026-08-03T12:43:00Z","title":"From Simple QA to Deep Research: A Verifiable Benchmark Constructed through Iterative Task Evolution","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T13:31:21.537058Z"},"links":{"cited_paper":"/paper/2605.07042","citing_paper":"/paper/2608.02163"},"observation_digest":"sha256:9cd6dcf707ed23c30849ca8d20dcb6e8ec86be237978f030e4f3ac96e01a2554","observation_id":"39226649-5485-4d43-a93d-97177dbd3d97","resolution":{"observed_at":"2026-08-04T13:31:21.537058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2605.07042/citation-record","integrity":"/paper/2605.07042/integrity","json":"/paper/2605.07042/citation-record.json","paper":"/paper/2605.07042"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.22344","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-02T16:27:09.196012Z","title":"Fair-rag: Faithful adaptive iterative refinement for retrieval-augmented generation.arXiv preprint arXiv:2510.22344","venue":null,"work_id":"fc6f826b-367c-446f-b8e9-b6a0e4b7cd28","year":2025},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:128570f8e0408ea1dc27aa9f6dc877862ed7daccf3a6431d6aea6d7c11b67c56","observation_id":"28bec65d-b0b6-41bf-af3b-1ccd1aae952a","resolution":{"observed_at":"2026-05-11T04:40:58.200744Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Self-RAG: Learning to retrieve, generate, and critique through self-reflection","venue":null,"work_id":"00e756df-d047-42bf-b024-e3e323eee601","year":2024},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:d4cc10c90fc0660ca4d42ae062bc1cecc9052d93d8dafe8a1ba6d8392e3a2684","observation_id":"bf310ea6-a270-4814-b779-21cb984c0330","resolution":{"observed_at":"2026-05-16T00:00:27.247212Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-11T01:17:48.287833Z","title":"Finite-time analysis of the multiarmed bandit problem.Machine learning, 47(2):235–256","venue":null,"work_id":"018f5948-9558-4cd2-9f41-4ffc9d138564","year":2002},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:a0688c377b60dbd68dfdb2c3144f204d02c814e30bbf27fe9792896cf16d813d","observation_id":"2b7d23a8-233f-4865-b06a-2cfb0508847e","resolution":{"observed_at":"2026-05-16T00:00:27.263081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"A close look into the calibration of pre-trained language models","venue":null,"work_id":"ff5c8317-d8f3-4000-bf94-46d77add181e","year":2023},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:738a179ff079a4bd80dcc8259aad8f48ec49eff9818cde7f83425cb10f1ae94c","observation_id":"b0a500e9-988f-4f06-8beb-61f7ed874c54","resolution":{"observed_at":"2026-05-16T00:00:27.239922Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16130","last_updated":"2025-02-19T10:49:41Z","snapshot_observed_at":"2026-07-06T18:05:11.700127Z","submitted_at":"2024-04-24T18:38:11Z","title":"From Local to Global: A Graph RAG Approach to Query-Focused Summarization","version":2},"cited_work":{"arxiv_id":"2404.16130","doi":"10.48550/arxiv.2404.16130","metadata_source":"pith","pith_arxiv_id":"2404.16130","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"From Local to Global: A Graph RAG Approach to Query-Focused Summarization","venue":"cs.CL","work_id":"588618d7-fd41-4053-b34d-a981f8793039","year":2024},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"cited_paper":"/paper/2404.16130","citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:704499b16b532cd604474515b2449671a44573d4dca56a4997ed18f2a799c643","observation_id":"95cb4bf4-23eb-47ed-8aba-ffc57d5d58a7","resolution":{"observed_at":"2026-05-11T05:10:58.470966Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-11T05:49:57.694079+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T05:49:57.694079+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Don’t hallucinate, abstain: Identifying LLM knowledge gaps via multi-LLM collaboration.ACL","venue":null,"work_id":"3a9d576c-91e0-4a76-96b9-f7cdfe429d65","year":2024},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:20d04da9d0f397c92ce12f5703de17e4934a9c07773b0c130a2229134f219dd2","observation_id":"7e8c16a0-e9ed-4a8b-97d2-f2d83a833d60","resolution":{"observed_at":"2026-05-16T00:00:27.253678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Optimal best arm identification with fixed confidence","venue":null,"work_id":"7a7a760f-788e-403b-b3f5-443c12078de6","year":2016},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:41c8a43894a5d200a87ae807a575f72feceb116f8517665d83d4cb5912945d52","observation_id":"ae1f9955-3c19-430f-85bc-d28cc537a595","resolution":{"observed_at":"2026-05-16T00:00:27.233696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"HippoRAG: Neurobiologically inspired long-term memory for large language models","venue":null,"work_id":"34eb9fab-8ae5-4649-a63b-4d89f38cca86","year":2024},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:d97725bd9e03bbd07844da9f8f65e2c2bead12056193c67f5a10489b09404373","observation_id":"68fbdd5c-e409-4aed-a52c-0b0bc5bfd047","resolution":{"observed_at":"2026-05-16T00:00:27.269456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Large language models cannot self-correct reasoning yet","venue":null,"work_id":"5b8c9f97-d549-4554-ae5c-9c3f8ee29f09","year":2024},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:b0882ee03a35b0a5f4af379876e9b5f2654951320b1603adc6daf42bcd24c8eb","observation_id":"4fa4ac23-d58a-4be0-b6b6-e4ab73fb7966","resolution":{"observed_at":"2026-05-16T00:00:27.250412Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Active retrieval augmented generation","venue":null,"work_id":"4c15f59f-a21e-4ce5-9549-240bcb0a6117","year":2023},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:585c5a64403eaf781108b971545254e2ba9fab1a79821df0dfeb0748bb58fd7e","observation_id":"ab58b497-4935-40ae-a70c-04ba87578852","resolution":{"observed_at":"2026-05-16T00:00:27.266299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b4d86c70-8d6e-4e63-aa54-b7f4a25385c0","year":2025},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:3ed6586f2f3c56c261eb1dd24ad29ca756e5c235c2fac9b6f545380ef0d78552","observation_id":"ea1a9381-c192-4f25-9d09-3de85c28d094","resolution":{"observed_at":"2026-05-16T00:00:27.237128Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Search-r1: Training LLMs to reason and leverage search engines with reinforcement learning","venue":null,"work_id":"afa33b09-591c-4ca2-918e-1fa3d9bc16e6","year":2025},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:c1756e36f2da35046baea8cbe6701b4b53a015c57bf5fdd96f2e415fe94dc818","observation_id":"6e32c104-e73b-4a45-9675-348b291268c8","resolution":{"observed_at":"2026-05-16T00:00:27.259899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Littman, and Anthony R","venue":null,"work_id":"6748c949-7694-426e-a6cd-3b03afae9f1e","year":1998},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:975ec246b10f2d510e7d8448886bc291e1ef740d3257196d2accc522c75b7a6f","observation_id":"64192b77-12f0-4c60-b356-992eaa95a89a","resolution":{"observed_at":"2026-05-16T00:00:27.243165Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"LLMs get lost in multi- turn conversation","venue":null,"work_id":"de462986-066a-4d87-8614-c383f27d5ca8","year":2026},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:a9793d83a82620098ae1defdb6b3397843b39221bddacfa6a71099012b419990","observation_id":"9a3ccf9b-ede8-48df-b1e9-01a5371684c3","resolution":{"observed_at":"2026-05-16T00:00:27.256565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.11753","last_updated":"2026-04-13T17:26:31Z","snapshot_observed_at":"2026-07-06T23:00:03.762376Z","submitted_at":"2026-04-13T17:26:31Z","title":"Agentic Aggregation for Parallel Scaling of Long-Horizon Agentic Tasks","version":1},"cited_work":{"arxiv_id":"2604.11753","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.11753","snapshot_observed_at":"2026-07-03T17:48:46.292934Z","title":"Agentic Aggregation for Parallel Scaling of Long-Horizon Agentic Tasks","venue":"cs.CL","work_id":"9b76b989-ea2b-43c9-a750-fdb5500cdde7","year":2026},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"cited_paper":"/paper/2604.11753","citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:0b76d5345518bb8645457477ab77daf1aad6a4e69522ac235adf8bcb5d46e467","observation_id":"89fef3a1-5b84-4898-a41d-8cf72b04fe2a","resolution":{"observed_at":"2026-05-11T04:40:58.170646Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Retrieval-augmented generation for knowledge-intensive NLP tasks","venue":null,"work_id":"56515ff3-4c89-47e7-8616-6cb63280142b","year":2020},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:6eeca361d07e32d9240c9471b11a5d58169e92f5a06d26217150f1450604188d","observation_id":"957930f1-8fc9-4d9a-90f3-e898f7ca2392","resolution":{"observed_at":"2026-05-16T00:00:27.275287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"LooGLE: Can long-context language models understand long contexts? InACL, pages 16304–16333","venue":null,"work_id":"98c2dc17-d7d8-4e66-919e-2e0a6edc588a","year":2024},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:7ca89d719d11936f9232208d30d45cf36ebccba38f07ff38f39f1ceca64f3d03","observation_id":"c51c89e5-6f22-403e-ace4-040b529f0bf9","resolution":{"observed_at":"2026-05-16T00:00:27.282009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Search-o1: Agentic search-enhanced large reasoning models","venue":null,"work_id":"2555e07f-688a-4ef8-822c-95848083bd33","year":2025},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:b044f8e2826cb85a6d57576412ceb77f50899db2cdd040426476ea64c3006d54","observation_id":"bcab03ff-14b2-4d6d-b6a0-94dd5caf59bf","resolution":{"observed_at":"2026-05-16T00:00:27.341875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"WebThinker: Empowering large reasoning models with deep research capability","venue":null,"work_id":"81ee7603-b653-444f-a43b-bbf4c232649c","year":2026},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:bfbdacfd5fea915546a6b99aeedf9ee215d651971ae73211c702ee438330bfce","observation_id":"57d4b207-3a77-48ae-923e-23b6c11480a7","resolution":{"observed_at":"2026-05-16T00:00:27.285747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Ho- pRAG: Multi-hop reasoning for logic-aware retrieval-augmented generation","venue":null,"work_id":"5ad6d61b-0939-4297-ac06-c4e69761c30f","year":1913},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:ce355e21a0c3094ba74a287d5a7d5225ffa5e7cb745fc9110c50343ac8fc806f","observation_id":"f30fc97e-da00-4b37-a333-645bab692baa","resolution":{"observed_at":"2026-05-16T00:00:27.338421Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang","venue":null,"work_id":"e4a42c38-cefa-4e08-b2d7-61a582033486","year":2024},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:0f0f55802d65e2238581bfa67a14972f7e31665971a5c9f3d9d49b917eb5864b","observation_id":"c3a83fd6-4909-4744-ae01-792d59215034","resolution":{"observed_at":"2026-05-16T00:00:27.345477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Evaluating very long-term conversational memory of LLM agents","venue":null,"work_id":"ab587f85-e5a2-4831-90a7-74d03ee82aae","year":2024},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:3b1b72010ce3d96b9ddeddad97ba8923a4918a84640c38738b0b5b95c7240cfe","observation_id":"bfa69d9f-53c1-436f-9243-fc9f29145494","resolution":{"observed_at":"2026-05-16T00:00:27.278655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2511.09030","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T23:49:02.325050Z","title":"Solving a million-step llm task with zero errors.arXiv preprint arXiv:2511.09030","venue":null,"work_id":"cd05c685-1c26-41e3-82d9-9c6a675b52e8","year":2025},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:6bdfa08d8f8db8101aafaf097dc5988aa19396fc802815d872e1e833e339e31d","observation_id":"dbcd578e-4558-497e-9585-6f5954fc20b0","resolution":{"observed_at":"2026-05-11T04:40:58.143113Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Self-contradictory hallucina- tions of large language models: Evaluation, detection and mitigation.ICLR","venue":null,"work_id":"183846b0-7355-444f-95db-9fafd32cc646","year":2024},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:5ab30c648fb124581d34c0db3cdc7c3dda281d4ba005656e54c680ab2ad4a91e","observation_id":"54c0d9cd-4d5c-4c17-ba8e-8da12c457258","resolution":{"observed_at":"2026-05-16T00:00:27.328610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"(more) efficient reinforcement learning via posterior sampling","venue":null,"work_id":"9c7eb42a-676d-4648-95e3-7446c73e5e9e","year":2013},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:1a5a14b1ae417a8d459c379b980375b1343d7096a185fcccd530ab8952fc91ab","observation_id":"97fe110c-82ae-47b3-9380-f3f835ae0ed0","resolution":{"observed_at":"2026-05-16T00:00:27.335594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"MemGPT: Towards LLMs as operating systems","venue":null,"work_id":"544b9450-ab40-487f-81f3-b9ab166dd8d0","year":2024},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:0388f8955cd557d837bc1b36dcdd108f286b31f88eb2b8f7423a2231ec8821a9","observation_id":"56687743-8e67-4cff-9a67-b6dada92679c","resolution":{"observed_at":"2026-05-16T00:00:27.350269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Generative agents: Interactive simulacra of human behavior.UIST","venue":null,"work_id":"6e3ed076-2a3c-4c0f-9ca0-940874e84713","year":2023},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:c8e296a2f429a76cbf1dd1c96e2a0b4c71a728878cbc5d02847bebcefb269ee7","observation_id":"76fc83e6-ca6e-4f8a-9338-570ef5ff36c3","resolution":{"observed_at":"2026-05-16T00:00:27.272301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.14635","last_updated":"2026-04-26T17:37:00Z","snapshot_observed_at":"2026-07-06T22:30:11.897367Z","submitted_at":"2025-09-18T05:25:32Z","title":"SWE-QA: Can Language Models Answer Repository-level Code Questions?","version":2},"cited_work":{"arxiv_id":"2509.14635","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.14635","snapshot_observed_at":"2026-07-03T02:07:33.463863Z","title":"SWE-QA: Can Language Models Answer Repository-level Code Questions?","venue":"cs.CL","work_id":"f7bc07e7-a6d9-472c-81da-a7dae21e5691","year":2025},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"cited_paper":"/paper/2509.14635","citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:6e34a243d9a23eb02d6697aa0ea6340ae997035fa0219685ed2c3c3af8dcb863","observation_id":"07243b15-72d7-47e3-bac3-0fab59fbd987","resolution":{"observed_at":"2026-05-11T04:40:58.161730Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"StateAct: Enhancing LLM base agents via self-prompting and state-tracking","venue":null,"work_id":"4a9014c9-dac9-4113-a53f-27fabff7366d","year":2025},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:b785808740b272c2c83e03137b1b446175711efc6e34996f839cc28490c481e0","observation_id":"9342de34-6933-4a63-a439-4977ad9fd764","resolution":{"observed_at":"2026-05-16T00:00:27.310402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Simple bayesian algorithms for best arm identification","venue":null,"work_id":"bc34861c-bda8-4763-9e7d-6e78af237792","year":2016},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:83575f086fbe8f4a768017bc3e215e5061a500e36430e5cc539224ed28daf11c","observation_id":"bfebdeb4-8ba4-4ee8-8d20-84c0d8ed5c8d","resolution":{"observed_at":"2026-05-16T00:00:27.318574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"A tutorial on thompson sampling.Foundations and Trends in Machine Learning","venue":null,"work_id":"15bc55c3-e905-4479-918c-3bacbbd899d7","year":2018},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:e84a84e91f0696a213efafca7dbc81c54c236c53bc5d41f8a88f2528c9cdecd5","observation_id":"b1a8c830-43aa-4697-ae2c-a90cdc9cb910","resolution":{"observed_at":"2026-05-16T00:00:27.325257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Lost in transmis- sion: When and why LLMs fail to reason globally","venue":null,"work_id":"d8f6dd1a-443e-43a5-a966-46c3c38fa43f","year":2025},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:e0035b6386e9a699803f64543073e2cf1301d51f394c862ef0d2459bf7af973e","observation_id":"8df7cefd-36aa-4064-be96-c2925abc5367","resolution":{"observed_at":"2026-05-16T00:00:27.306917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Enhancing retrieval-augmented large language models with iterative retrieval-generation synergy","venue":null,"work_id":"b5c1a126-e0a2-49e3-a381-d3e30aeed081","year":2023},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:7dc001a076b43ed519dd18a558459c3536d783d70d6a2582f59ec9fe32598261","observation_id":"efc46f55-1ed7-4380-8949-f4e8ddc989a6","resolution":{"observed_at":"2026-05-16T00:00:27.314519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"DRAGIN: Dynamic retrieval augmented generation based on the real-time information needs of large language models","venue":null,"work_id":"9f8710fe-8f97-4aa1-892c-5c6c8e716764","year":2024},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:9327cb1ea12edc25738a6420e64e36664e442322c4dd39a381160735b2105e22","observation_id":"d57dd16d-09d4-427e-9fd2-c35aee87c763","resolution":{"observed_at":"2026-05-16T00:00:27.322054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"On the likelihood that one unknown probability exceeds another in view of the evidence of two samples.Biometrika, 25:285–294","venue":null,"work_id":"d09c5009-d6ea-41ba-9638-017dd584a647","year":1933},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:0164125ad8944bf89dd8540a5a64aec1a837acec99b4132391c68ffa00920b79","observation_id":"632d2fa8-b731-4882-8905-e9d3ab597397","resolution":{"observed_at":"2026-05-16T00:00:27.295963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"MuSiQue: Multihop questions via single hop question composition.Transactions of the Association for Computational Linguistics, 10:539–554","venue":null,"work_id":"95d8898d-46bb-4385-a395-a07826abc197","year":2022},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:8391f229e9bd0665cc0b1156d37a88a93793bbcd7571acd67620e1047c8bb368","observation_id":"f9422269-1504-432f-9ddb-48fe5361deca","resolution":{"observed_at":"2026-05-16T00:00:27.360147Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions","venue":null,"work_id":"d7f6827d-0122-4471-bd56-53bc51597c0a","year":2023},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:5722f7580ee6e3ec51956a25a1011b98d2111e115034e0b2538475b1fed9a3be","observation_id":"cf0ab81f-1566-4326-b0dc-c96145c1fd19","resolution":{"observed_at":"2026-05-16T00:00:27.353423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Extending context window of large language models from a distributional perspective","venue":null,"work_id":"d40a704c-8cf5-4feb-a6e3-4fb786adec00","year":2024},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:50330eab9a678fc60b09617b029241862a8a065d6b2d41ba26804095a3dc4ac7","observation_id":"a69865fe-bca1-4600-b00f-61862a82c3be","resolution":{"observed_at":"2026-05-16T00:00:27.291742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"A-Mem: Agentic memory for LLM agents","venue":null,"work_id":"8f48dcc2-0807-463e-8b06-7d8b703632d1","year":2025},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:9557574915b445ca4677bfea8e23fd2d4a636194e9f2d95907f23edb82dddbed","observation_id":"7cd6a1d5-8437-4857-b4c5-dd44647482cb","resolution":{"observed_at":"2026-05-16T00:00:27.299650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.15884","last_updated":"2024-10-07T02:19:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-29T04:36:39Z","title":"Corrective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":"2401.15884","doi":"10.48550/arxiv.2401.15884","metadata_source":"pith","pith_arxiv_id":"2401.15884","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Corrective Retrieval Augmented Generation","venue":"cs.CL","work_id":"eda82a01-2f6c-4e23-9f7c-facff5b7e2ee","year":2024},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"cited_paper":"/paper/2401.15884","citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:acf94917b5961a002593c6a79d421a213d34d7df930b1facc18beb2171cfb652","observation_id":"de396768-2a98-46cd-a584-7bbffeab7591","resolution":{"observed_at":"2026-05-12T11:19:17.396474Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-07-15T19:20:21.729234+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-15T19:20:21.729234+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"SWE-agent: Agent-computer interfaces enable automated software engineering","venue":null,"work_id":"e5ed0a05-61ab-4177-a584-1f5b026e3a7c","year":2024},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:79679ea2df3150245da11d657af5f292993a2ac90ac07e1e21205c1a0de0084f","observation_id":"bb8597e7-2218-497e-9f8d-2225021e6124","resolution":{"observed_at":"2026-05-16T00:00:27.303641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-07-07T19:04:02.529098Z","title":"ReAct: Synergizing reasoning and acting in language models","venue":null,"work_id":"3fe69a5e-13e3-45ec-ba74-eda9933890ea","year":2023},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:b9e92c9f934ced6e4b7a8250033bc360e4707124eee9bf7c4237978a92fdaa8f","observation_id":"85ceeeac-a1c6-426d-a0bc-144a1c60424d","resolution":{"observed_at":"2026-05-16T00:00:27.363388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2510.18939","last_updated":"2026-07-14T02:30:28Z","snapshot_observed_at":"2026-08-06T04:19:11.853714Z","submitted_at":"2025-10-21T17:58:45Z","title":"Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic Search","version":2},"cited_work":{"arxiv_id":"2510.18939","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2510.18939","snapshot_observed_at":"2026-07-15T01:20:48.939128Z","title":"Lost in the maze: Overcoming context limitations in long-horizon agentic search","venue":null,"work_id":"ee044fa4-5025-4cf8-bd1d-24d7b2958c42","year":2025},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"cited_paper":"/paper/2510.18939","citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:75cecf96dd786369ae85f87b639db9187794281b22e48d1e2db8fbe0183da965","observation_id":"f3e368c8-d99a-44de-bbad-4562672385f3","resolution":{"observed_at":"2026-07-15T01:20:48.939128Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"I did not find it","venue":null,"work_id":"47276d92-5814-417e-86b2-19ea4cdedc53","year":2025},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:ce499457a8669ba6ab96bb17bf97ddcf9d319a5f8715188eff75a62ad003e63e","observation_id":"d197c339-f99a-43c2-96d3-3e0a1777c201","resolution":{"observed_at":"2026-05-16T00:00:27.332135Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Contains the global best (f_j0.6_u0.3_p2)","venue":null,"work_id":"6e575b8e-b0e8-46e4-af27-ce11073ba92d","year":null},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:c2c91676ae8f8c57b7b17c4f550d5771d68adc87157823f1c9ca775a7787ebab","observation_id":"d665419e-57e2-4db8-8f8c-22ff2069c84a","resolution":{"observed_at":"2026-05-16T00:00:27.288730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Three pairs of configurations are functionally identical (L1 = 0pp): thefull vs.query_and_full trigger mode makes no difference when the diff threshold is not binding","venue":null,"work_id":"036d9acc-3d01-4ea4-ad57-d5a928b5d340","year":null},"citing_paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-11T01:11:10.959395Z"},"links":{"citing_paper":"/paper/2605.07042"},"observation_digest":"sha256:bb54706a739cc46cbe7f64378ab42a003deabebff35377c3e697013821e618a7","observation_id":"6b265a72-9cb5-445b-ab84-3a4da72dbe93","resolution":{"observed_at":"2026-05-16T00:00:27.356699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.07042","last_updated":"2026-05-07T23:45:07Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:45:07Z","title":"The Context Gathering Decision Process: A POMDP Framework for Agentic Search"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":7,"verified_fuzzy":37},"total_outbound_references":46},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2605.07042."}