{"as_of":"2026-08-08T03:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b99291e1a11b035416870f7c07fb33d055520fbb83b39126b354ce02ac657c49","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:26:56.659188Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-01T00:55:12.120217Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.23214","last_updated":"2024-10-31T01:34:16Z","snapshot_observed_at":"2026-08-04T22:48:50.229098Z","submitted_at":"2024-10-30T17:02:54Z","title":"Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval","version":2},"cited_work":{"arxiv_id":"2410.23214","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.23214","snapshot_observed_at":"2026-07-01T00:55:12.120217Z","title":"Grounding by trying: Llms with reinforcement learning-enhanced retrieval","venue":null,"work_id":"6a58da47-d450-4e74-9f4f-81813bcbffad","year":2024},"citing_paper":{"arxiv_id":"2502.13957","last_updated":"2026-05-16T17:37:22Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-19T18:56:03Z","title":"Supervising the search process produces reliable and generalizable information-seeking agents","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-23T02:18:27.204122Z"},"links":{"cited_paper":"/paper/2410.23214","citing_paper":"/paper/2502.13957"},"observation_digest":"sha256:cd83e67c4c87d34495b5432262ef97705dc7d6ffaaf9dd97758a9a9ebbf0e348","observation_id":"d1116e0c-96ad-44d0-b721-58b0f7237495","resolution":{"observed_at":"2026-05-23T02:22:25.332332Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23214","last_updated":"2024-10-31T01:34:16Z","snapshot_observed_at":"2026-08-04T22:48:50.229098Z","submitted_at":"2024-10-30T17:02:54Z","title":"Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.23214","snapshot_observed_at":"2026-08-06T23:26:56.659188Z","title":"Grounding by trying: Llms with reinforcement learning-enhanced retrieval","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18096","last_updated":"2025-09-03T15:32:23Z","snapshot_observed_at":"2026-08-06T23:20:46.744749Z","submitted_at":"2025-06-22T16:52:48Z","title":"Deep Research Agents: A Systematic Examination And Roadmap","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T23:26:56.659188Z"},"links":{"cited_paper":"/paper/2410.23214","citing_paper":"/paper/2506.18096"},"observation_digest":"sha256:059c8d034b2f316d545834291cf0f800f931b0d1ffc61d111c77e4cec9b6a29c","observation_id":"923bf86b-f26c-41eb-a7ff-d45de05d90b5","resolution":{"observed_at":"2026-08-06T23:26:56.659188Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23214","last_updated":"2024-10-31T01:34:16Z","snapshot_observed_at":"2026-08-04T22:48:50.229098Z","submitted_at":"2024-10-30T17:02:54Z","title":"Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.23214","snapshot_observed_at":"2026-08-06T23:20:32.987960Z","title":"Grounding by trying: Llms with reinforcement learning-enhanced retrieval.arXiv preprint arXiv:2410.23214,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.18670","last_updated":"2025-06-23T14:14:43Z","snapshot_observed_at":"2026-08-06T23:13:30.465608Z","submitted_at":"2025-06-23T14:14:43Z","title":"Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:32.987960Z"},"links":{"cited_paper":"/paper/2410.23214","citing_paper":"/paper/2506.18670"},"observation_digest":"sha256:ae70d07488e0c7170c4dae6471fa77a5673983edd9c949aa3f1a62e0d6f4f319","observation_id":"5487c94a-887e-4904-a508-d404b5b6fd49","resolution":{"observed_at":"2026-08-06T23:20:32.987960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23214","last_updated":"2024-10-31T01:34:16Z","snapshot_observed_at":"2026-08-04T22:48:50.229098Z","submitted_at":"2024-10-30T17:02:54Z","title":"Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval","version":2},"cited_work":{"arxiv_id":"2410.23214","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.23214","snapshot_observed_at":"2026-07-01T00:55:12.120217Z","title":"Grounding by trying: Llms with reinforcement learning-enhanced retrieval","venue":null,"work_id":"6a58da47-d450-4e74-9f4f-81813bcbffad","year":2024},"citing_paper":{"arxiv_id":"2508.15411","last_updated":"2026-04-22T08:47:14Z","snapshot_observed_at":"2026-08-03T01:46:26.898737Z","submitted_at":"2025-08-21T10:05:18Z","title":"Foundational Design Principles and Patterns for Building Robust and Adaptive GenAI-Native Systems","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-18T22:11:00.992743Z"},"links":{"cited_paper":"/paper/2410.23214","citing_paper":"/paper/2508.15411"},"observation_digest":"sha256:691f6fd869f21457e5eb56a6652108fedb06064f37ea9ac14e6942ca0d01dc6e","observation_id":"c468b4b9-3e7a-4abe-a988-a13c8704446a","resolution":{"observed_at":"2026-05-18T22:11:52.598296Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23214","last_updated":"2024-10-31T01:34:16Z","snapshot_observed_at":"2026-08-04T22:48:50.229098Z","submitted_at":"2024-10-30T17:02:54Z","title":"Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.23214","snapshot_observed_at":"2026-07-13T13:05:01.450957Z","title":"Grounding by trying: LLMs with RL-enhanced retrieval,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.03562","last_updated":"2026-04-04T03:04:53Z","snapshot_observed_at":"2026-08-07T23:37:01.705222Z","submitted_at":"2026-04-04T03:04:53Z","title":"When Adaptive Rewards Hurt: Causal Probing and the Switching-Stability Dilemma in LLM-Guided LEO Satellite Scheduling","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-13T13:05:01.450957Z"},"links":{"cited_paper":"/paper/2410.23214","citing_paper":"/paper/2604.03562"},"observation_digest":"sha256:d5c6c070a53947633ff138de699ea4802a9aca5ec522af7e5a27fd5a5a20f23f","observation_id":"aa0ae670-76ed-47e1-9c13-6d8bbf177cd0","resolution":{"observed_at":"2026-07-13T13:05:01.450957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23214","last_updated":"2024-10-31T01:34:16Z","snapshot_observed_at":"2026-08-04T22:48:50.229098Z","submitted_at":"2024-10-30T17:02:54Z","title":"Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval","version":2},"cited_work":{"arxiv_id":"2410.23214","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.23214","snapshot_observed_at":"2026-07-01T00:55:12.120217Z","title":"Grounding by trying: Llms with reinforcement learning-enhanced retrieval","venue":null,"work_id":"6a58da47-d450-4e74-9f4f-81813bcbffad","year":2024},"citing_paper":{"arxiv_id":"2605.01248","last_updated":"2026-06-08T23:39:22Z","snapshot_observed_at":"2026-07-06T23:14:29.125042Z","submitted_at":"2026-05-02T05:01:05Z","title":"$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-09T15:08:53.731480Z"},"links":{"cited_paper":"/paper/2410.23214","citing_paper":"/paper/2605.01248"},"observation_digest":"sha256:4ed5a2fbd3d6536204faf67b015fef346ea92476c0ffa06500ef6c4311bd3cb8","observation_id":"da40d7a6-0b9a-425a-bb82-a3c5c5face30","resolution":{"observed_at":"2026-05-11T16:46:06.821269Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23214","last_updated":"2024-10-31T01:34:16Z","snapshot_observed_at":"2026-08-04T22:48:50.229098Z","submitted_at":"2024-10-30T17:02:54Z","title":"Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval","version":2},"cited_work":{"arxiv_id":"2410.23214","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.23214","snapshot_observed_at":"2026-07-01T00:55:12.120217Z","title":"Grounding by trying: Llms with reinforcement learning-enhanced retrieval","venue":null,"work_id":"6a58da47-d450-4e74-9f4f-81813bcbffad","year":2024},"citing_paper":{"arxiv_id":"2605.01248","last_updated":"2026-06-08T23:39:22Z","snapshot_observed_at":"2026-07-06T23:14:29.125042Z","submitted_at":"2026-05-02T05:01:05Z","title":"$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-01T00:48:54.797750Z"},"links":{"cited_paper":"/paper/2410.23214","citing_paper":"/paper/2605.01248"},"observation_digest":"sha256:d2c70a684888902bddada8668373eb51e997e37e28ee2a3e25d829b3539aaa7f","observation_id":"f67d7d85-af3b-4baa-a4b4-57ec6559e215","resolution":{"observed_at":"2026-07-01T00:55:12.122183Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.23214/citation-record","integrity":"/paper/2410.23214/integrity","json":"/paper/2410.23214/citation-record.json","paper":"/paper/2410.23214"},"outbound":[],"paper":{"arxiv_id":"2410.23214","last_updated":"2024-10-31T01:34:16Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-04T22:48:50.229098Z","submitted_at":"2024-10-30T17:02:54Z","title":"Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval"},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.23214."}