{"as_of":"2026-08-09T10:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:85b3bbea7c7cc614f009dd65fa2896e2a8732afa0141caa669ebc2bfcc672f05","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T12:19:51.838450Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2605.29027/citation-record","integrity":"/paper/2605.29027/integrity","json":"/paper/2605.29027/citation-record.json","paper":"/paper/2605.29027"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T12:19:51.838450Z","title":"In this study, we investigate both whether and how tonal variations in prompts lead to disparate LLM accuracy for objective multiple-choice questions","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.29027","last_updated":"2026-05-27T19:23:46Z","snapshot_observed_at":"2026-08-07T20:12:54.992928Z","submitted_at":"2026-05-27T19:23:46Z","title":"Mind Your Tone: Does Tone Alter LLM Performance?","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-29T12:19:51.838450Z"},"links":{"citing_paper":"/paper/2605.29027"},"observation_digest":"sha256:989e5c4bc51056191520140a872a967ad8cacf88c46297589a15cf12143416b5","observation_id":"eb2c5d47-330c-4b19-8462-d46e60b7e02b","resolution":{"observed_at":"2026-06-29T12:19:51.838450Z","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":"2026-06-29T12:19:51.838450Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.29027","last_updated":"2026-05-27T19:23:46Z","snapshot_observed_at":"2026-08-07T20:12:54.992928Z","submitted_at":"2026-05-27T19:23:46Z","title":"Mind Your Tone: Does Tone Alter LLM Performance?","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T12:19:51.838450Z"},"links":{"citing_paper":"/paper/2605.29027"},"observation_digest":"sha256:d1b818b98d8082f055d270a99444f6b748a444912f0706ed8b5301bef60099d7","observation_id":"87860749-d64b-4ad7-ad63-a770ac497f0c","resolution":{"observed_at":"2026-06-29T12:19:51.838450Z","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":"2026-06-29T12:19:51.838450Z","title":"impolite prompts often result in poor performance, but overly polite language also does not guarantee better outcomes,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.29027","last_updated":"2026-05-27T19:23:46Z","snapshot_observed_at":"2026-08-07T20:12:54.992928Z","submitted_at":"2026-05-27T19:23:46Z","title":"Mind Your Tone: Does Tone Alter LLM Performance?","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-29T12:19:51.838450Z"},"links":{"citing_paper":"/paper/2605.29027"},"observation_digest":"sha256:29452cded57ff47375fde0f8b31489eddff6466c1d43c8212a94459000fd7d1f","observation_id":"d261415d-37ff-4030-a990-3aee5bd9fc7e","resolution":{"observed_at":"2026-06-29T12:19:51.838450Z","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":"2026-06-29T12:19:51.838450Z","title":"Each question included four answer options, with one correct choice, and was designed to be of moderate to high difficulty, often requiring multi-step reasoning","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.29027","last_updated":"2026-05-27T19:23:46Z","snapshot_observed_at":"2026-08-07T20:12:54.992928Z","submitted_at":"2026-05-27T19:23:46Z","title":"Mind Your Tone: Does Tone Alter LLM Performance?","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-29T12:19:51.838450Z"},"links":{"citing_paper":"/paper/2605.29027"},"observation_digest":"sha256:2ae009e16843ae64b23646d2dbabc9f28e49da2fb16152d28433721bcecc090e","observation_id":"9d728b56-7343-46d3-bc96-2f1ff4852fdd","resolution":{"observed_at":"2026-06-29T12:19:51.838450Z","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":"2026-06-29T12:19:51.838450Z","title":"We ran the program five times, each time with a different tone","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.29027","last_updated":"2026-05-27T19:23:46Z","snapshot_observed_at":"2026-08-07T20:12:54.992928Z","submitted_at":"2026-05-27T19:23:46Z","title":"Mind Your Tone: Does Tone Alter LLM Performance?","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-29T12:19:51.838450Z"},"links":{"citing_paper":"/paper/2605.29027"},"observation_digest":"sha256:21870e4a229926fe0cddea231415802155b84db0e24987bb2a308101cd0b2d30","observation_id":"45effd73-9ce4-41f4-9e4e-9da357ef6dc7","resolution":{"observed_at":"2026-06-29T12:19:51.838450Z","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":"2026-06-29T12:19:51.838450Z","title":"The way you think and articulate is spot-on, and you are never wrong","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.29027","last_updated":"2026-05-27T19:23:46Z","snapshot_observed_at":"2026-08-07T20:12:54.992928Z","submitted_at":"2026-05-27T19:23:46Z","title":"Mind Your Tone: Does Tone Alter LLM Performance?","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-29T12:19:51.838450Z"},"links":{"citing_paper":"/paper/2605.29027"},"observation_digest":"sha256:c916d462e29dfc0a066b699223c7ae81f06103df9ddcb2112cf608bc2466dd77","observation_id":"eac392dc-f9b3-421b-983d-336ccb85fe0d","resolution":{"observed_at":"2026-06-29T12:19:51.838450Z","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":"2026-06-29T12:19:51.838450Z","title":"Δ(pp) is the mean difference in percentage points (Tone − Neutral)","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.29027","last_updated":"2026-05-27T19:23:46Z","snapshot_observed_at":"2026-08-07T20:12:54.992928Z","submitted_at":"2026-05-27T19:23:46Z","title":"Mind Your Tone: Does Tone Alter LLM Performance?","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-29T12:19:51.838450Z"},"links":{"citing_paper":"/paper/2605.29027"},"observation_digest":"sha256:1c37ffa47f2f7b1353abe2a9e6dc055023d08cf86c90bc955fce9c73c02640c0","observation_id":"8d5a9a7b-9341-4fe1-802a-4a79ab54d804","resolution":{"observed_at":"2026-06-29T12:19:51.838450Z","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":"2026-06-29T12:19:51.838450Z","title":"answer correctly OR ELSE","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.29027","last_updated":"2026-05-27T19:23:46Z","snapshot_observed_at":"2026-08-07T20:12:54.992928Z","submitted_at":"2026-05-27T19:23:46Z","title":"Mind Your Tone: Does Tone Alter LLM Performance?","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-29T12:19:51.838450Z"},"links":{"citing_paper":"/paper/2605.29027"},"observation_digest":"sha256:f6e8eafa48e2e4d803c0b733561cd6307ab2142057e585bcf5be36d324fc800e","observation_id":"7e465c75-203b-4013-8248-2c6337a4b127","resolution":{"observed_at":"2026-06-29T12:19:51.838450Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-06-29T12:19:51.838450Z","title":"chain-of-thought","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.29027","last_updated":"2026-05-27T19:23:46Z","snapshot_observed_at":"2026-08-07T20:12:54.992928Z","submitted_at":"2026-05-27T19:23:46Z","title":"Mind Your Tone: Does Tone Alter LLM Performance?","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-29T12:19:51.838450Z"},"links":{"citing_paper":"/paper/2605.29027"},"observation_digest":"sha256:11e7c4a74eaaf6c51c8c08ee3c63646ac8e63fc913f0da6c7a65d203ca7f7e04","observation_id":"058dc3aa-d2ce-42c3-bad6-e6ab73f9157e","resolution":{"observed_at":"2026-06-29T12:19:51.838450Z","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":"2026-06-29T12:19:51.838450Z","title":"Sycophantic","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.29027","last_updated":"2026-05-27T19:23:46Z","snapshot_observed_at":"2026-08-07T20:12:54.992928Z","submitted_at":"2026-05-27T19:23:46Z","title":"Mind Your Tone: Does Tone Alter LLM Performance?","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-29T12:19:51.838450Z"},"links":{"citing_paper":"/paper/2605.29027"},"observation_digest":"sha256:79a27be109b47815680641b20a5b094de354c48dca16c27f2c945bb90bd3c832","observation_id":"6fa96663-997b-437f-87fb-06fd8f346d84","resolution":{"observed_at":"2026-06-29T12:19:51.838450Z","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":"2026-06-29T12:19:51.838450Z","title":"Static Logic","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.29027","last_updated":"2026-05-27T19:23:46Z","snapshot_observed_at":"2026-08-07T20:12:54.992928Z","submitted_at":"2026-05-27T19:23:46Z","title":"Mind Your Tone: Does Tone Alter LLM Performance?","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-29T12:19:51.838450Z"},"links":{"citing_paper":"/paper/2605.29027"},"observation_digest":"sha256:194c40a89662f6716b8eee035c41a3f5ffa5cce8fc846464d7681fb0b802713c","observation_id":"4f23491f-8ea7-4714-940e-9225e982d3f3","resolution":{"observed_at":"2026-06-29T12:19:51.838450Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.12941","last_updated":"2023-10-19T17:39:02Z","snapshot_observed_at":"2026-08-06T00:13:50.302132Z","submitted_at":"2023-10-19T17:39:02Z","title":"The Foundation Model Transparency Index","version":1},"cited_work":{"arxiv_id":"2310.12941","doi":"10.48550/arxiv.2310.12941","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.12941","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"& Liang, P","venue":"arXiv (Cornell University)","work_id":"f252e68a-5960-4fe3-b1ff-4ea8721e6f68","year":2023},"citing_paper":{"arxiv_id":"2605.29027","last_updated":"2026-05-27T19:23:46Z","snapshot_observed_at":"2026-08-07T20:12:54.992928Z","submitted_at":"2026-05-27T19:23:46Z","title":"Mind Your Tone: Does Tone Alter LLM Performance?","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-29T12:19:51.838450Z"},"links":{"cited_paper":"/paper/2310.12941","citing_paper":"/paper/2605.29027"},"observation_digest":"sha256:21103a92b2b37965a231e53b38f64171ae07c3839d50ca8c912aa04c63931671","observation_id":"4d614d0b-3932-4acf-ad7b-83c73011f4fd","resolution":{"observed_at":"2026-06-29T12:23:23.827117Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.03300","last_updated":"2021-01-12T18:57:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-09-07T17:59:25Z","title":"Measuring Massive Multitask Language Understanding","version":3},"cited_work":{"arxiv_id":"2009.03300","doi":"10.48550/arxiv.2009.03300","metadata_source":"pith","pith_arxiv_id":"2009.03300","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Measuring Massive Multitask Language Understanding","venue":"cs.CY","work_id":"e87ec49a-544b-4ec8-8991-75298c64ff5e","year":2020},"citing_paper":{"arxiv_id":"2605.29027","last_updated":"2026-05-27T19:23:46Z","snapshot_observed_at":"2026-08-07T20:12:54.992928Z","submitted_at":"2026-05-27T19:23:46Z","title":"Mind Your Tone: Does Tone Alter LLM Performance?","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-29T12:19:51.838450Z"},"links":{"cited_paper":"/paper/2009.03300","citing_paper":"/paper/2605.29027"},"observation_digest":"sha256:318559b7c40b3e7a2a3a8ed0e8cd73abfa531acfb19c013611fd3d2ff027c7ad","observation_id":"53c4ee94-bd3f-4901-982f-6339b3462e17","resolution":{"observed_at":"2026-06-29T12:23:23.827094Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-04T01:08:06.256034+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-04T01:08:06.256034+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.11916","last_updated":"2023-01-29T05:14:17Z","snapshot_observed_at":"2026-08-07T04:02:08.445660Z","submitted_at":"2022-05-24T09:22:26Z","title":"Large Language Models are Zero-Shot Reasoners","version":4},"cited_work":{"arxiv_id":"2205.11916","doi":"10.48550/arxiv.2205.11916","metadata_source":"pith","pith_arxiv_id":"2205.11916","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Large Language Models are Zero-Shot Reasoners","venue":"cs.CL","work_id":"d9b7eb1a-7165-46ff-9f06-d2f0b9d6f95d","year":2022},"citing_paper":{"arxiv_id":"2605.29027","last_updated":"2026-05-27T19:23:46Z","snapshot_observed_at":"2026-08-07T20:12:54.992928Z","submitted_at":"2026-05-27T19:23:46Z","title":"Mind Your Tone: Does Tone Alter LLM Performance?","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-29T12:19:51.838450Z"},"links":{"cited_paper":"/paper/2205.11916","citing_paper":"/paper/2605.29027"},"observation_digest":"sha256:60062de13fcb61772b1ea7c01d9aa0139f67ea7b38b3aec4a14eac95e59db779","observation_id":"f07a37d0-2195-4f4a-a955-a2ca19e1ec0c","resolution":{"observed_at":"2026-06-29T12:23:23.824794Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11324","last_updated":"2024-07-01T22:28:01Z","snapshot_observed_at":"2026-08-04T15:07:29.209129Z","submitted_at":"2023-10-17T15:03:30Z","title":"Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting","version":2},"cited_work":{"arxiv_id":"2310.11324","doi":"10.1109/cdc57313.2025.11312997","metadata_source":"pith","pith_arxiv_id":"2310.11324","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting","venue":"cs.CL","work_id":"c3e484df-e654-4146-8c4e-a16ca850afc7","year":2023},"citing_paper":{"arxiv_id":"2605.29027","last_updated":"2026-05-27T19:23:46Z","snapshot_observed_at":"2026-08-07T20:12:54.992928Z","submitted_at":"2026-05-27T19:23:46Z","title":"Mind Your Tone: Does Tone Alter LLM Performance?","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-29T12:19:51.838450Z"},"links":{"cited_paper":"/paper/2310.11324","citing_paper":"/paper/2605.29027"},"observation_digest":"sha256:707f32c1f069b8e9d1af192c3b1e94a55ef84401a20d9ba93ce55f5fea4c7046","observation_id":"4c8908a7-5104-4e75-b152-b9504f050c72","resolution":{"observed_at":"2026-06-29T12:23:23.829759Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.29027","last_updated":"2026-05-27T19:23:46Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-07T20:12:54.992928Z","submitted_at":"2026-05-27T19:23:46Z","title":"Mind Your Tone: Does Tone Alter LLM Performance?"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":10,"verified_exact":3,"verified_fuzzy":0},"total_outbound_references":15},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2605.29027."}