{"as_of":"2026-08-20T16:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c9569f8f5f09d7ce870d79da8bf2102ce52abc600a100bcb4fd7abc1d67b7a54","coverage":[{"denominator":24,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T08:21:02.790097Z","state":"measured"},{"denominator":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":[],"links":{"evidence":"/evidence","html":"/paper/2607.21143/citation-record","integrity":"/paper/2607.21143/integrity","json":"/paper/2607.21143/citation-record.json","paper":"/paper/2607.21143"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:21:00.470338Z","title":"Bruce , address=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:00.470338Z"},"links":{"citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:898e8ec10717995dfc103d2dc1c71607c465ad8c732cc8f8cbae6b11ad513b03","observation_id":"f2e90082-1ed4-43d9-a264-fc7966dbe773","resolution":{"observed_at":"2026-08-01T08:21:00.470338Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.11352","last_updated":"2020-09-23T19:48:02Z","snapshot_observed_at":"2026-08-17T10:59:08.781266Z","submitted_at":"2020-09-23T19:48:02Z","title":"ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.11352","snapshot_observed_at":"2026-08-01T08:21:00.569126Z","title":"ArXiv preprint , volume=","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:00.569126Z"},"links":{"cited_paper":"/paper/2009.11352","citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:7baf6d5b7141170d4aaced57de21cfd1110af81e5d1e5da2481bdb4dac1fc00b","observation_id":"e3ffe5d8-dc3c-46b1-ac4b-b4919d88006b","resolution":{"observed_at":"2026-08-01T08:21:00.569126Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:21:00.677427Z","title":"A mbig QA : A nswering Ambiguous Open-domain Questions","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:00.677427Z"},"links":{"citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:c9ed9f1f84be7a1eb5d73204a1b97c905a21de379cbf7963cd6942dd86a8fcab","observation_id":"f24ebc3e-69ba-4d03-b7f9-ad3a86f47d47","resolution":{"observed_at":"2026-08-01T08:21:00.677427Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:21:00.823438Z","title":"Asking Clarification Questions to Handle Ambiguity in Open-Domain QA","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:00.823438Z"},"links":{"citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:1c3a98b864c1d5153bbd8ad0f6645e98bd7ff2e697a4d9450b937dfbb1571d3a","observation_id":"eb32096b-7fc7-484c-9c37-fb4d73fb8537","resolution":{"observed_at":"2026-08-01T08:21:00.823438Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:21:00.924830Z","title":"CLAMBER : A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:00.924830Z"},"links":{"citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:2b79de4e93a93fece4767275c525caed8e641ec758946573a83302d48dc30683","observation_id":"4550c220-3fc4-4bc6-aa8d-2916bb598d41","resolution":{"observed_at":"2026-08-01T08:21:00.924830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.12257","last_updated":"2025-04-25T23:50:57Z","snapshot_observed_at":"2026-08-16T12:57:34.881289Z","submitted_at":"2025-02-17T19:01:10Z","title":"InfoQuest: Evaluating Multi-Turn Dialogue Agents for Open-Ended Conversations with Hidden Context","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.12257","snapshot_observed_at":"2026-08-01T08:21:01.004934Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:01.004934Z"},"links":{"cited_paper":"/paper/2502.12257","citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:1a14975477a5e7f91545f9b1d7d0d6cbad9d31afd90d3bf1a5a9eae806acf5e7","observation_id":"39c5379e-1a36-498a-a346-0620970b2b33","resolution":{"observed_at":"2026-08-01T08:21:01.004934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:21:01.091981Z","title":"ArXiv preprint , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:01.091981Z"},"links":{"citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:01e8849a23d2057f44daf56122ad62452d1ee0b93de08a910cc3131a0766f13d","observation_id":"bd6e8502-be05-4329-96af-478118b52fc3","resolution":{"observed_at":"2026-08-01T08:21:01.091981Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:21:01.177748Z","title":"Clarify When Necessary: R esolving Ambiguity Through Interaction with LM s","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:01.177748Z"},"links":{"citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:a1e55d6b58319fdf35a5db3fc11e6f0180d52e95a519b981531a17fb5a76a83e","observation_id":"c6d48b42-9999-485b-99bd-bb527d428cba","resolution":{"observed_at":"2026-08-01T08:21:01.177748Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.05685","last_updated":"2023-12-24T02:01:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-06-09T05:55:52Z","title":"Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.05685","snapshot_observed_at":"2026-08-01T08:21:01.270211Z","title":"Xing and Hao Zhang and Joseph E","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:01.270211Z"},"links":{"cited_paper":"/paper/2306.05685","citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:5ea2f1be85611004f0eaf9b4097a6933761aebd53c7ea6ed802109f3c06ad716","observation_id":"b331616b-3024-4474-a81d-5b3ef8761428","resolution":{"observed_at":"2026-08-01T08:21:01.270211Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:21:01.353502Z","title":"Are LLM -Judges Robust to Expressions of Uncertainty? I nvestigating the effect of Epistemic Markers on LLM -based Evaluation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:01.353502Z"},"links":{"citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:95186336b8005bf8973b6a508d311b51c8e09fd242464e1c5c4ced135384dec6","observation_id":"e89a2724-6087-4824-a667-6312ff444f9e","resolution":{"observed_at":"2026-08-01T08:21:01.353502Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:21:01.526072Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:01.526072Z"},"links":{"citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:13070cebd59605b9cd4d795251817867b9eaa707029b1ce24d1994a600ea3b89","observation_id":"0bba3032-a760-4b05-925e-a2967b78e95d","resolution":{"observed_at":"2026-08-01T08:21:01.526072Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12447","last_updated":"2024-08-09T12:40:51Z","snapshot_observed_at":"2026-08-18T08:05:56.146055Z","submitted_at":"2024-04-18T18:12:01Z","title":"AmbigDocs: Reasoning across Documents on Different Entities under the Same Name","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.12447","snapshot_observed_at":"2026-08-01T08:21:01.613505Z","title":"ArXiv preprint , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:01.613505Z"},"links":{"cited_paper":"/paper/2404.12447","citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:2c432c80ba1147d347452f1e5483edd2ec27bba9efc2bb9e045d2b5d3f74fb43","observation_id":"1ec192c9-b302-4819-bf1c-863f5d5cd824","resolution":{"observed_at":"2026-08-01T08:21:01.613505Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:21:01.699511Z","title":"STYLE : I mproving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:01.699511Z"},"links":{"citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:421bf874dad065b0d88ae9fd6760df2bd05aab63c1ea586ae95cf2e0c2edffee","observation_id":"73b7850c-812e-4dd0-99e3-2d003ccadea6","resolution":{"observed_at":"2026-08-01T08:21:01.699511Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:21:01.781820Z","title":"Ambiguity Detection and Uncertainty Calibration for Question Answering with Large Language Models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:01.781820Z"},"links":{"citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:c72c5a92078256f7a6ce39264fe1ddb8ba446a52519c185f61610d0b3c3b7162","observation_id":"ab5d14d8-42b5-4ec0-bd87-de4cffb7811f","resolution":{"observed_at":"2026-08-01T08:21:01.781820Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.06097","last_updated":"2024-09-14T20:55:13Z","snapshot_observed_at":"2026-08-18T13:44:20.068314Z","submitted_at":"2024-09-09T22:29:35Z","title":"ClarQ-LLM: A Benchmark for Models Clarifying and Requesting Information in Task-Oriented Dialog","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.06097","snapshot_observed_at":"2026-08-01T08:21:01.845484Z","title":"ArXiv preprint , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:01.845484Z"},"links":{"cited_paper":"/paper/2409.06097","citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:437cc2bb1710f2ac7f624891bdb6e5a93fd79a4589988ebff4906b2b09f4c58a","observation_id":"fd1498eb-143d-4a5c-9754-b670e5b93d47","resolution":{"observed_at":"2026-08-01T08:21:01.845484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:21:01.966536Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:01.966536Z"},"links":{"citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:6b7f67f643b8028c666ea2df311ed9ab06c4ae6b391a6a17a3ea43cf4d896d38","observation_id":"a8d9a1a2-060e-4994-a4df-cbc2db26ee1d","resolution":{"observed_at":"2026-08-01T08:21:01.966536Z","resolver_source":null,"status":"parse_uncertain"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:21:02.120434Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:02.120434Z"},"links":{"citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:25a66caf9bc46c5f1380ab259e38041f65db61990b1a72812b69245fe00b148b","observation_id":"5328f40d-6457-4af6-a4fa-33233387791f","resolution":{"observed_at":"2026-08-01T08:21:02.120434Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:21:02.139895Z","title":"2025 , institution =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:02.139895Z"},"links":{"citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:fa027f9a93443c93658e6e0487c0028d3181ebf4ed02ca3bdf554c8ed19daf82","observation_id":"f40302ed-1e73-436b-9f36-1161188c2c46","resolution":{"observed_at":"2026-08-01T08:21:02.139895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:21:02.259817Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:02.259817Z"},"links":{"citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:d74124ed94f0fcc2ad926be6aedcd4f709537cfe862fe5ba4f13aca464da4e47","observation_id":"c6f9eec7-8130-48f2-9177-1c6a08518b03","resolution":{"observed_at":"2026-08-01T08:21:02.259817Z","resolver_source":null,"status":"parse_uncertain"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.03267","last_updated":"2026-05-01T23:55:43Z","snapshot_observed_at":"2026-08-15T00:17:32.875866Z","submitted_at":"2025-12-19T07:05:38Z","title":"OpenAI GPT-5 System Card","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.03267","snapshot_observed_at":"2026-08-01T08:21:02.409046Z","title":"2026 , author=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:02.409046Z"},"links":{"cited_paper":"/paper/2601.03267","citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:c45c612faa0a78a5ef11df5a3fba1fdaba6371dde4ebb8639b936d2b0d618cd9","observation_id":"34cc7c97-5869-48bd-8f0d-e26512e6c1b9","resolution":{"observed_at":"2026-08-01T08:21:02.409046Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2512.20856","last_updated":"2025-12-24T00:24:05Z","snapshot_observed_at":"2026-08-18T03:02:34.206139Z","submitted_at":"2025-12-24T00:24:05Z","title":"NVIDIA Nemotron 3: Efficient and Open Intelligence","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2512.20856","snapshot_observed_at":"2026-08-01T08:21:02.544732Z","title":"ArXiv preprint , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:02.544732Z"},"links":{"cited_paper":"/paper/2512.20856","citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:5992655efd1645cb6541ad33938136c86ed8026c81264d46b694c8008be599d0","observation_id":"7c10667f-b251-419b-b8bd-748a55961095","resolution":{"observed_at":"2026-08-01T08:21:02.544732Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:21:02.624486Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:02.624486Z"},"links":{"citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:c7c0a16d8c4fdb4e25475c77b09ddea02f8b21da38327873117c48877972556e","observation_id":"815bbc28-9633-44bb-9e9f-21607ad73a86","resolution":{"observed_at":"2026-08-01T08:21:02.624486Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:21:02.698797Z","title":"ArXiv preprint , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:02.698797Z"},"links":{"citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:a2a7ce4ed631b2f3d57236091f9c6af0de1a2d9c4e57883fa0119b4d02a3638c","observation_id":"ce653252-99a0-4457-948d-d71dbe3b2d28","resolution":{"observed_at":"2026-08-01T08:21:02.698797Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T08:21:02.790097Z","title":"and Oyamada, Masafumi , title =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-01T08:21:02.790097Z"},"links":{"citing_paper":"/paper/2607.21143"},"observation_digest":"sha256:8e2fae9f197a86170079b77db6bf230f87db8a49e69990cacfaf4eeae04473cd","observation_id":"bd0b3400-90c2-409f-8c0b-8e8ec2a8711b","resolution":{"observed_at":"2026-08-01T08:21:02.790097Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.21143","last_updated":"2026-07-24T08:22:37Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-17T12:28:09.849626Z","submitted_at":"2026-07-23T10:22:11Z","title":"One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies"},"reference_resolution":{"displayed":24,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":2,"unresolved":22,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":24},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.21143."}