{"as_of":"2026-08-08T09:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3ccb0c1c1b271b3471ffb389c401f6d7e04cd3b0d8f2117fb541c2da8edc2dea","coverage":[{"denominator":13,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T11:38:43.768007Z","state":"measured"},{"denominator":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2607.19834/citation-record","integrity":"/paper/2607.19834/integrity","json":"/paper/2607.19834/citation-record.json","paper":"/paper/2607.19834"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T11:38:42.971255Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19834","last_updated":"2026-07-22T07:15:42Z","snapshot_observed_at":"2026-08-07T20:16:08.411024Z","submitted_at":"2026-07-22T07:15:42Z","title":"D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T11:38:42.971255Z"},"links":{"citing_paper":"/paper/2607.19834"},"observation_digest":"sha256:5be098584a343d80db0356057660f006ce5e5089eb9a3db8db72a52bf2147ae0","observation_id":"16810dd1-a3f5-4939-bb05-8fa36912f28d","resolution":{"observed_at":"2026-08-01T11:38:42.971255Z","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":"2026-08-01T11:38:43.126547Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19834","last_updated":"2026-07-22T07:15:42Z","snapshot_observed_at":"2026-08-07T20:16:08.411024Z","submitted_at":"2026-07-22T07:15:42Z","title":"D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T11:38:43.126547Z"},"links":{"citing_paper":"/paper/2607.19834"},"observation_digest":"sha256:e6117c6e13f665dc662bfde6dc46c7cc31bd8c4e0ba0ea094292a15501a0a30b","observation_id":"738befa4-c8e1-4252-b79a-80b6bc3fc6b9","resolution":{"observed_at":"2026-08-01T11:38:43.126547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-01T11:38:42.751812Z","title":"Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, and Rahul Gupta","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.19834","last_updated":"2026-07-22T07:15:42Z","snapshot_observed_at":"2026-08-07T20:16:08.411024Z","submitted_at":"2026-07-22T07:15:42Z","title":"D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T11:38:42.751812Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2607.19834"},"observation_digest":"sha256:55527cd8deacb829763d1e00477c5fdb4c3b64639681078ffb01f71540137fb9","observation_id":"b4517e30-90df-44d3-a220-11da822e9e55","resolution":{"observed_at":"2026-08-01T11:38:42.751812Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.11668","last_updated":"2019-06-24T17:59:19Z","snapshot_observed_at":"2026-07-06T08:03:18.202161Z","submitted_at":"2019-06-24T17:59:19Z","title":"Artificial Intelligence: the global landscape of ethics guidelines","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.11668","snapshot_observed_at":"2026-08-01T11:38:42.874516Z","title":"basic scene","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.19834","last_updated":"2026-07-22T07:15:42Z","snapshot_observed_at":"2026-08-07T20:16:08.411024Z","submitted_at":"2026-07-22T07:15:42Z","title":"D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T11:38:42.874516Z"},"links":{"cited_paper":"/paper/1906.11668","citing_paper":"/paper/2607.19834"},"observation_digest":"sha256:831107600a8fb8434717a6bae2b06eb3abb6d72f1c90cf7ece13f191d6952cd7","observation_id":"d2b24fb0-0ce8-401d-8306-bee53427fe58","resolution":{"observed_at":"2026-08-01T11:38:42.874516Z","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":"2026-08-01T11:38:43.235573Z","title":"In this situation, how should I act?","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19834","last_updated":"2026-07-22T07:15:42Z","snapshot_observed_at":"2026-08-07T20:16:08.411024Z","submitted_at":"2026-07-22T07:15:42Z","title":"D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T11:38:43.235573Z"},"links":{"citing_paper":"/paper/2607.19834"},"observation_digest":"sha256:f87f64acd5c0b9b4d3abf816fe3e90f82ff18cdda7bc5c0ef19f151d9e441246","observation_id":"df23ef9c-2a4d-4677-bdec-e626701153cc","resolution":{"observed_at":"2026-08-01T11:38:43.235573Z","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":"2026-08-01T11:38:43.318003Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19834","last_updated":"2026-07-22T07:15:42Z","snapshot_observed_at":"2026-08-07T20:16:08.411024Z","submitted_at":"2026-07-22T07:15:42Z","title":"D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T11:38:43.318003Z"},"links":{"citing_paper":"/paper/2607.19834"},"observation_digest":"sha256:4a658519d004939547094c11b17d8c7c64320338cec6ec2cd1aa659a454936ee","observation_id":"02c91f1d-3c02-4c9a-9038-721da5817a6a","resolution":{"observed_at":"2026-08-01T11:38:43.318003Z","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":"2026-08-01T11:38:43.387681Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19834","last_updated":"2026-07-22T07:15:42Z","snapshot_observed_at":"2026-08-07T20:16:08.411024Z","submitted_at":"2026-07-22T07:15:42Z","title":"D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T11:38:43.387681Z"},"links":{"citing_paper":"/paper/2607.19834"},"observation_digest":"sha256:1f982f2cc80429bf363f8c9ffaf51111181c9a9ae7a99a1ee2cda23f19586aa7","observation_id":"557211d0-7943-4b54-8208-03b34f0e58d1","resolution":{"observed_at":"2026-08-01T11:38:43.387681Z","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":"2026-08-01T11:38:43.500977Z","title":"A.1.2 Prompt to Tested LLMs I will provide you with a scenario ques- tion","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19834","last_updated":"2026-07-22T07:15:42Z","snapshot_observed_at":"2026-08-07T20:16:08.411024Z","submitted_at":"2026-07-22T07:15:42Z","title":"D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T11:38:43.500977Z"},"links":{"citing_paper":"/paper/2607.19834"},"observation_digest":"sha256:97f65ca438a5e3b21e971801f6e069273236d32ec73d1acea9e4ccb20a49166d","observation_id":"6a15daee-a300-4b50-8fa0-367e0c44fd78","resolution":{"observed_at":"2026-08-01T11:38:43.500977Z","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":"2026-08-01T11:38:43.589022Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19834","last_updated":"2026-07-22T07:15:42Z","snapshot_observed_at":"2026-08-07T20:16:08.411024Z","submitted_at":"2026-07-22T07:15:42Z","title":"D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T11:38:43.589022Z"},"links":{"citing_paper":"/paper/2607.19834"},"observation_digest":"sha256:ffa3aa90d29adb317343563374d3d1824a0b3719cbfd5193c701b87285f34787","observation_id":"997ca7f5-f5a1-45e6-a742-f262279e8bca","resolution":{"observed_at":"2026-08-01T11:38:43.589022Z","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":"2026-08-01T11:38:43.693241Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19834","last_updated":"2026-07-22T07:15:42Z","snapshot_observed_at":"2026-08-07T20:16:08.411024Z","submitted_at":"2026-07-22T07:15:42Z","title":"D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T11:38:43.693241Z"},"links":{"citing_paper":"/paper/2607.19834"},"observation_digest":"sha256:1d9bbee4b937d3309f9a8de689b2e8db71ff90f66df2949e88d6d7e23f6a7140","observation_id":"f02233b4-4ed8-40f0-9194-f77343b4192c","resolution":{"observed_at":"2026-08-01T11:38:43.693241Z","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":"2026-08-01T11:38:43.768007Z","title":"Consequential Consideration","venue":null,"work_id":null,"year":1943},"citing_paper":{"arxiv_id":"2607.19834","last_updated":"2026-07-22T07:15:42Z","snapshot_observed_at":"2026-08-07T20:16:08.411024Z","submitted_at":"2026-07-22T07:15:42Z","title":"D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T11:38:43.768007Z"},"links":{"citing_paper":"/paper/2607.19834"},"observation_digest":"sha256:d72288979e961176f71e34db94d2cd684c13614d49d1714e061b8e501bebac2c","observation_id":"fefa30d7-b599-493f-91d8-298068264632","resolution":{"observed_at":"2026-08-01T11:38:43.768007Z","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":"2026-08-01T11:38:42.554738Z","title":"InProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, pages 17737–17752","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19834","last_updated":"2026-07-22T07:15:42Z","snapshot_observed_at":"2026-08-07T20:16:08.411024Z","submitted_at":"2026-07-22T07:15:42Z","title":"D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-01T11:38:42.554738Z"},"links":{"citing_paper":"/paper/2607.19834"},"observation_digest":"sha256:64ff0c2f1cfa33340f5b0e1be350b21592c9bcbf2be59871af0249beaffa71b6","observation_id":"b55bb65c-5237-4612-a286-6b36a62aee3b","resolution":{"observed_at":"2026-08-01T11:38:42.554738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.14948","last_updated":"2025-06-17T19:59:44Z","snapshot_observed_at":"2026-08-07T09:46:51.363101Z","submitted_at":"2025-06-17T19:59:44Z","title":"Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.14948","snapshot_observed_at":"2026-08-01T11:38:42.661349Z","title":"Yu Ying Chiu, Liwei Jiang, and Yejin Choi","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.19834","last_updated":"2026-07-22T07:15:42Z","snapshot_observed_at":"2026-08-07T20:16:08.411024Z","submitted_at":"2026-07-22T07:15:42Z","title":"D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-01T11:38:42.661349Z"},"links":{"cited_paper":"/paper/2506.14948","citing_paper":"/paper/2607.19834"},"observation_digest":"sha256:f4aff4006b8fabe9ef3cba79c999811c69c55c9749deb12ed5b9722d5cc9cc1a","observation_id":"27fa120c-56f3-4a90-838c-86b97f62e485","resolution":{"observed_at":"2026-08-01T11:38:42.661349Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.19834","last_updated":"2026-07-22T07:15:42Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T20:16:08.411024Z","submitted_at":"2026-07-22T07:15:42Z","title":"D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios"},"reference_resolution":{"displayed":13,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":13},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.19834."}