{"as_of":"2026-08-17T09:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3aabfeace64602e76202cebae6d8a37deb9c62bc3b3042c765dc32e805a20d44","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T20:07:28.319758Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2602.24060/citation-record","integrity":"/paper/2602.24060/integrity","json":"/paper/2602.24060/citation-record.json","paper":"/paper/2602.24060"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-08-15T12:33:55.451951Z","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":"2026-08-02T20:07:27.336384Z","title":"arXiv preprint arXiv:2501.12948 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.24060","last_updated":"2026-02-27T14:49:05Z","snapshot_observed_at":"2026-08-16T04:09:23.364945Z","submitted_at":"2026-02-27T14:49:05Z","title":"Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T20:07:27.336384Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2602.24060"},"observation_digest":"sha256:73264fafbb8dad170101845e0117358e65f216d3aea8b9b88bf95821895c7098","observation_id":"ebab4904-20cd-4794-919e-7c6411e6cac4","resolution":{"observed_at":"2026-08-02T20:07:27.336384Z","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":"2026-08-02T20:07:27.361190Z","title":"In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2602.24060","last_updated":"2026-02-27T14:49:05Z","snapshot_observed_at":"2026-08-16T04:09:23.364945Z","submitted_at":"2026-02-27T14:49:05Z","title":"Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T20:07:27.361190Z"},"links":{"citing_paper":"/paper/2602.24060"},"observation_digest":"sha256:1c5045e56600fbf98f93f4b5a4c2469eb6e2617374ba1a9afbdbb75a3df371ed","observation_id":"e29b051d-12a6-40ec-9b1c-4ed991005364","resolution":{"observed_at":"2026-08-02T20:07:27.361190Z","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":"2026-08-02T20:07:27.378299Z","title":"In: Findings of the Association for Computational Linguistics: ACL","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.24060","last_updated":"2026-02-27T14:49:05Z","snapshot_observed_at":"2026-08-16T04:09:23.364945Z","submitted_at":"2026-02-27T14:49:05Z","title":"Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T20:07:27.378299Z"},"links":{"citing_paper":"/paper/2602.24060"},"observation_digest":"sha256:7e72c0bab871f1d491dcfe3d5dc4414901f784d8538cd60f58bb3878de665932","observation_id":"bc7ecf7e-13c2-4e91-bcb8-21cffe12ab7d","resolution":{"observed_at":"2026-08-02T20:07:27.378299Z","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":"2026-08-02T20:07:27.516450Z","title":"IEEE Intelligent Systems 40(6), 52–63 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.24060","last_updated":"2026-02-27T14:49:05Z","snapshot_observed_at":"2026-08-16T04:09:23.364945Z","submitted_at":"2026-02-27T14:49:05Z","title":"Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T20:07:27.516450Z"},"links":{"citing_paper":"/paper/2602.24060"},"observation_digest":"sha256:b63c0fe56822c40b1b4f3aa2c12221689605ad71ed563328f1df9997701a01ce","observation_id":"a62d429c-b9aa-44b6-9cc3-62ad5d814047","resolution":{"observed_at":"2026-08-02T20:07:27.516450Z","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":"2026-08-02T20:07:27.553647Z","title":"https://www.ibm.com/granite/docs/models/granite/ (2025), accessed on July 20, 2025 12 D","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.24060","last_updated":"2026-02-27T14:49:05Z","snapshot_observed_at":"2026-08-16T04:09:23.364945Z","submitted_at":"2026-02-27T14:49:05Z","title":"Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T20:07:27.553647Z"},"links":{"citing_paper":"/paper/2602.24060"},"observation_digest":"sha256:635367e8ebc3d0586d1076318a9d7471ead4a355fe36b1aa83fb21d7dc02cd55","observation_id":"b521180c-fcaa-4767-8c73-eb0554d3d20e","resolution":{"observed_at":"2026-08-02T20:07:27.553647Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.04574","last_updated":"2025-06-05T02:47:23Z","snapshot_observed_at":"2026-08-16T04:08:43.225829Z","submitted_at":"2025-06-05T02:47:23Z","title":"Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.04574","snapshot_observed_at":"2026-08-02T20:07:27.642037Z","title":"arXiv preprint arXiv:2506.04574 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.24060","last_updated":"2026-02-27T14:49:05Z","snapshot_observed_at":"2026-08-16T04:09:23.364945Z","submitted_at":"2026-02-27T14:49:05Z","title":"Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T20:07:27.642037Z"},"links":{"cited_paper":"/paper/2506.04574","citing_paper":"/paper/2602.24060"},"observation_digest":"sha256:a9036cf51aed66a7d252391e67beb1cc667755bd1fe1a2a9769ec4709e3b1f91","observation_id":"de8b6aab-b836-4bac-a734-5725b0d1bdbc","resolution":{"observed_at":"2026-08-02T20:07:27.642037Z","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":"2026-08-02T20:07:27.726971Z","title":"In: IEEE 10th International Conference on Awareness Science and Technology (iCAST)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.24060","last_updated":"2026-02-27T14:49:05Z","snapshot_observed_at":"2026-08-16T04:09:23.364945Z","submitted_at":"2026-02-27T14:49:05Z","title":"Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T20:07:27.726971Z"},"links":{"citing_paper":"/paper/2602.24060"},"observation_digest":"sha256:298ff2ec5273a35bd6ec2bfd7638f75574fce4a0a400742df952007e89112ee2","observation_id":"625486c3-2aa0-42cb-be1b-2e18b6d7e9bf","resolution":{"observed_at":"2026-08-02T20:07:27.726971Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01687","last_updated":"2024-10-04T01:01:39Z","snapshot_observed_at":"2026-08-16T13:38:00.506038Z","submitted_at":"2024-07-01T18:01:07Z","title":"Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01687","snapshot_observed_at":"2026-08-02T20:07:27.836462Z","title":"arXiv preprint arXiv:2407.01687 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.24060","last_updated":"2026-02-27T14:49:05Z","snapshot_observed_at":"2026-08-16T04:09:23.364945Z","submitted_at":"2026-02-27T14:49:05Z","title":"Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T20:07:27.836462Z"},"links":{"cited_paper":"/paper/2407.01687","citing_paper":"/paper/2602.24060"},"observation_digest":"sha256:1b061c91f9a917ab1f416532997d9a1c67f21625760afa3f080f5309000ad102","observation_id":"71c4aa8d-703b-405a-b9be-7de45eb694b5","resolution":{"observed_at":"2026-08-02T20:07:27.836462Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-08-02T20:07:27.921278Z","title":"arXiv preprint arXiv:2505.09388 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.24060","last_updated":"2026-02-27T14:49:05Z","snapshot_observed_at":"2026-08-16T04:09:23.364945Z","submitted_at":"2026-02-27T14:49:05Z","title":"Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T20:07:27.921278Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2602.24060"},"observation_digest":"sha256:92afcbb79ac7246931f4c1cc99f600fe334a8ad4c4191b5e24b71a67e3f4c280","observation_id":"df0d77e0-f225-4cf3-8e39-cbebdd2069a2","resolution":{"observed_at":"2026-08-02T20:07:27.921278Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.10910","last_updated":"2025-06-12T17:22:37Z","snapshot_observed_at":"2026-08-08T22:49:29.831091Z","submitted_at":"2025-06-12T17:22:37Z","title":"Magistral","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.10910","snapshot_observed_at":"2026-08-02T20:07:28.015727Z","title":"arXiv preprint arXiv:2506.10910 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.24060","last_updated":"2026-02-27T14:49:05Z","snapshot_observed_at":"2026-08-16T04:09:23.364945Z","submitted_at":"2026-02-27T14:49:05Z","title":"Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T20:07:28.015727Z"},"links":{"cited_paper":"/paper/2506.10910","citing_paper":"/paper/2602.24060"},"observation_digest":"sha256:052fc71a0691a1fdafe5894d01d53ec5d0a492ac0d10bd9b0d37647700266504","observation_id":"2f7f2d9e-b2fd-4310-9f85-63e6be00e0ed","resolution":{"observed_at":"2026-08-02T20:07:28.015727Z","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":"2026-08-02T20:07:28.063816Z","title":"International Journal of Advanced Computer Science and Applications 13(9), 618–624 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.24060","last_updated":"2026-02-27T14:49:05Z","snapshot_observed_at":"2026-08-16T04:09:23.364945Z","submitted_at":"2026-02-27T14:49:05Z","title":"Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T20:07:28.063816Z"},"links":{"citing_paper":"/paper/2602.24060"},"observation_digest":"sha256:18fdbd7794940c1480fbc375dbcd12fd7a434e342c3382532d2aa985d4ea4c15","observation_id":"3a07b2ff-a511-40a5-a27a-7a914377cd1a","resolution":{"observed_at":"2026-08-02T20:07:28.063816Z","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":"2026-08-02T20:07:28.121930Z","title":"Artificial Intelligence Review 58(3), 75 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.24060","last_updated":"2026-02-27T14:49:05Z","snapshot_observed_at":"2026-08-16T04:09:23.364945Z","submitted_at":"2026-02-27T14:49:05Z","title":"Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T20:07:28.121930Z"},"links":{"citing_paper":"/paper/2602.24060"},"observation_digest":"sha256:4e95d1f73adeafe6f60907ab6a389313a8f955482f62a08b32c0a562955e6e5a","observation_id":"a23538e0-3c62-452a-aaa6-d98f72f05019","resolution":{"observed_at":"2026-08-02T20:07:28.121930Z","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":"2026-08-02T20:07:28.164555Z","title":"In: Advances in neural information processing systems","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.24060","last_updated":"2026-02-27T14:49:05Z","snapshot_observed_at":"2026-08-16T04:09:23.364945Z","submitted_at":"2026-02-27T14:49:05Z","title":"Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T20:07:28.164555Z"},"links":{"citing_paper":"/paper/2602.24060"},"observation_digest":"sha256:a3185bcbcf6401222e26f554f89f801245b601044b33f4322d514e5d3ec7e643","observation_id":"1a48de0f-957a-4bf2-b321-96737436680c","resolution":{"observed_at":"2026-08-02T20:07:28.164555Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13116","last_updated":"2024-10-21T16:22:33Z","snapshot_observed_at":"2026-08-10T17:26:33.432994Z","submitted_at":"2024-02-20T16:17:37Z","title":"A Survey on Knowledge Distillation of Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13116","snapshot_observed_at":"2026-08-02T20:07:28.184591Z","title":"arXiv preprint arXiv:2402.13116 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.24060","last_updated":"2026-02-27T14:49:05Z","snapshot_observed_at":"2026-08-16T04:09:23.364945Z","submitted_at":"2026-02-27T14:49:05Z","title":"Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T20:07:28.184591Z"},"links":{"cited_paper":"/paper/2402.13116","citing_paper":"/paper/2602.24060"},"observation_digest":"sha256:40273d257a4a85d1732165ca099914e238d31eb9027aa70d0c7236580dc8eedc","observation_id":"21274386-1aea-4956-a0a7-5aa9ae64a1e3","resolution":{"observed_at":"2026-08-02T20:07:28.184591Z","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":"2026-08-02T20:07:28.222952Z","title":"In: Proceedings of NAACL 2024 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.24060","last_updated":"2026-02-27T14:49:05Z","snapshot_observed_at":"2026-08-16T04:09:23.364945Z","submitted_at":"2026-02-27T14:49:05Z","title":"Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T20:07:28.222952Z"},"links":{"citing_paper":"/paper/2602.24060"},"observation_digest":"sha256:9b63b3e80b82ed1b1f6dbe0671a79517c1d9472555af4c4d652ff69d8ff016a5","observation_id":"dc0150cf-ce7b-412b-87af-c3d298ad1954","resolution":{"observed_at":"2026-08-02T20:07:28.222952Z","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":"2026-08-02T20:07:28.319758Z","title":"arXiv preprint arXiv:2503.03225 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.24060","last_updated":"2026-02-27T14:49:05Z","snapshot_observed_at":"2026-08-16T04:09:23.364945Z","submitted_at":"2026-02-27T14:49:05Z","title":"Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T20:07:28.319758Z"},"links":{"citing_paper":"/paper/2602.24060"},"observation_digest":"sha256:c03c96dd91ba3c0db6923e08c6de465cd3f64eb09180c0e4e27d85c3324937c7","observation_id":"0681852b-25d8-4c5c-9cdc-922c0442c690","resolution":{"observed_at":"2026-08-02T20:07:28.319758Z","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":"2026-08-02T20:07:27.449862Z","title":"8003–8017 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.24060","last_updated":"2026-02-27T14:49:05Z","snapshot_observed_at":"2026-08-16T04:09:23.364945Z","submitted_at":"2026-02-27T14:49:05Z","title":"Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-02T20:07:27.449862Z"},"links":{"citing_paper":"/paper/2602.24060"},"observation_digest":"sha256:23cdfdbcd31f459870114211908a375720b9bd573454e3360aa010570dec10f6","observation_id":"180a9995-d12f-4f1a-a20b-c07521b5db3d","resolution":{"observed_at":"2026-08-02T20:07:27.449862Z","resolver_source":null,"status":"parse_uncertain"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2602.24060","last_updated":"2026-02-27T14:49:05Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T04:09:23.364945Z","submitted_at":"2026-02-27T14:49:05Z","title":"Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":16,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":17},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2602.24060."}