{"as_of":"2026-08-08T23:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b02ae876078523f37abded3d67485f3b6c1adab6fa66904131e684291e0705fc","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T19:39:06.057481Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"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/2511.23276/citation-record","integrity":"/paper/2511.23276/integrity","json":"/paper/2511.23276/citation-record.json","paper":"/paper/2511.23276"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T19:39:01.551427Z","title":"Update on hand-foot-and-mouth disease.Clinics in dermatology, 33(3):340–346, 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:01.551427Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:ec62819e2796bf3c1cd640d784e13658bf76208a8a421ffffb9153da1843829a","observation_id":"ded083a4-2499-41df-ae13-eb14af0f6b44","resolution":{"observed_at":"2026-08-03T19:39:01.551427Z","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":"2026-08-03T19:39:01.639193Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:01.639193Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:e5eb74d2c67275910e95db45e801066b74801c5015d7d56e56741ef27e3355d3","observation_id":"c1e93297-871b-4e8b-81e0-52f8c1dca958","resolution":{"observed_at":"2026-08-03T19:39:01.639193Z","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":"2026-08-03T19:39:01.820037Z","title":"Epidemiology and clinical characteristics of hand foot, and mouth disease in a shenzhen sentinel hospital from 2009 to 2011","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:01.820037Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:351759c73e697656924156759c98cf5a0d221a1b9f8b62016f983c73f7922f9b","observation_id":"be8a0e2b-73ea-4d7e-8d85-a08a692fddca","resolution":{"observed_at":"2026-08-03T19:39:01.820037Z","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":"2026-08-03T19:39:01.952235Z","title":"Hand, foot, and mouth disease in china, 2008–12: an epidemiological study.The Lancet infectious diseases, 14(4):308–318, 2014","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:01.952235Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:bd5a6a760427cc4886031d892651a2e4737f7d79c773d70733d875647285c2c1","observation_id":"2f694cb8-88fc-4094-8183-b7e8c579158f","resolution":{"observed_at":"2026-08-03T19:39:01.952235Z","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":"2026-08-03T19:39:02.096926Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:02.096926Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:e92d25dc884bb76a3e152daa9a42b5a584342bdd1d321f03014950e62d2025f4","observation_id":"0b55f472-33e8-4627-aebf-0346dad74b20","resolution":{"observed_at":"2026-08-03T19:39:02.096926Z","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":"2026-08-03T19:39:02.279059Z","title":"Current status of hand-foot-and-mouth disease.Journal of biomedical science, 30(1):15, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:02.279059Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:5471bc6b807a0ba71ed3f6ba78b630c30503efbb1e42112e401659b568838b97","observation_id":"1dc417d0-c92b-452e-96a6-6c2956e4f35e","resolution":{"observed_at":"2026-08-03T19:39:02.279059Z","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":"2026-08-03T19:39:02.394472Z","title":"Detecting spatial-temporal clusters of hfmd from 2007 to 2011 in shandong province, china.PloS one, 8(5):e63447, 2013","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:02.394472Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:443b4c8681f86463371b1983517b5aebb622f7a8b5ca7219928f313d40d1f931","observation_id":"caba7f98-89f0-424a-8c88-ac657b58dd41","resolution":{"observed_at":"2026-08-03T19:39:02.394472Z","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":"2026-08-03T19:39:02.550122Z","title":"Epidemiological analysis, detection, and comparison of space-time patterns of beijing hand-foot-mouth disease (2008–2012).PLoS one, 9(3):e92745, 2014","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:02.550122Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:d20b6e72fb0a28eb51a28fc9d1e5813f846bf05e89bbae20fc8300ff0e084b0c","observation_id":"85e9bb51-5ab3-45eb-aea8-2700bbdd5d67","resolution":{"observed_at":"2026-08-03T19:39:02.550122Z","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":"2026-08-03T19:39:02.711736Z","title":"The epidemiology of hand, foot and mouth disease in asia: a systematic review and analysis.The Pediatric infectious disease journal, 35(10):e285–e300, 2016","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:02.711736Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:17d866adb50a7c1bf2a3dbf45be6975a60af4d0d4339bd1944dcf3c94160ede3","observation_id":"e68fd93a-6526-4f57-8eae-7bf504a55363","resolution":{"observed_at":"2026-08-03T19:39:02.711736Z","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":"2026-08-03T19:39:02.853095Z","title":"Research on hand, foot and mouth disease incidence forecasting using hybrid model in mainland china.BMC Public Health, 23(1):619, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:02.853095Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:732087bd46061974fb40037bdcf153a27772efd732f975e6b921ac95296fc818","observation_id":"027db462-dc24-4fb6-bdd8-e9b40b003bfa","resolution":{"observed_at":"2026-08-03T19:39:02.853095Z","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":"2026-08-03T19:39:02.965772Z","title":"Applying infectious disease forecasting to public health: a path forward using influenza forecasting examples.BMC Public Health, 19(1):1659, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:02.965772Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:89f6fdb85edbde920727a932ad0a0e0315f4adcbc1aaa5330eed9ffb23b69c7f","observation_id":"27b45d34-0583-43be-8690-625ed7d6fe9e","resolution":{"observed_at":"2026-08-03T19:39:02.965772Z","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":"2026-08-03T19:39:03.126542Z","title":"Princeton university press, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:03.126542Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:3142291aa2f0bd594d3bfbf6a0c658ec1aa3fccd9c0737cdb2476f1d2e758f7d","observation_id":"c624929d-7119-40d5-a3bf-a4c35d4548fa","resolution":{"observed_at":"2026-08-03T19:39:03.126542Z","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":"2026-08-03T19:39:03.186232Z","title":"A contribution to the mathematical theory of epidemics","venue":null,"work_id":null,"year":1927},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:03.186232Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:f43e8d4c0ac859e1a2f15d36ff21bceac6d0ff19e55fccdd44fdda0471688e13","observation_id":"77d8b526-6aa3-4c06-b123-a1bd1c85fe88","resolution":{"observed_at":"2026-08-03T19:39:03.186232Z","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":"2026-08-03T19:39:03.323815Z","title":"Predicting the incidence of hand, foot and mouth disease in sichuan province, china using the arima model.Epidemiology & Infection, 144(1):144–151, 2016","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:03.323815Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:84ee126e3254bb7a76bc6832e6926ea5d673a7a783ab83c542f75fab3c52fe45","observation_id":"c4e13e7f-615d-4755-ad97-5f04b1857e4f","resolution":{"observed_at":"2026-08-03T19:39:03.323815Z","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":"2026-08-03T19:39:03.476024Z","title":"Short-term effects of weather on hand, foot, and mouth disease","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:03.476024Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:68a8d4e3ebd793a884e237301834ee2c138eb8ceb721937e2e6bc27d54e616ec","observation_id":"defc4fdc-be70-4902-b68c-c826f15388c6","resolution":{"observed_at":"2026-08-03T19:39:03.476024Z","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":"2026-08-03T19:39:03.610293Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:03.610293Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:6a67c2081437933e0a53db17d11077f7670a57f391a34c1e91ac46b2cf82f4a3","observation_id":"368b07e3-4b6c-4e69-a598-41d87e53478b","resolution":{"observed_at":"2026-08-03T19:39:03.610293Z","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":"2026-08-03T19:39:03.738500Z","title":"Spatio-temporal analysis of the relationship between meteorological factors and hand-foot-mouth disease in beijing, china.BMC infectious diseases, 18(1):158, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:03.738500Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:5441cc9e49cc8da7e145c89000372e07e62c4ec3a383dc59fa741e48f13f0dc0","observation_id":"4c2765b1-c813-4fe5-bf00-617cc32be986","resolution":{"observed_at":"2026-08-03T19:39:03.738500Z","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":"2026-08-03T19:39:03.857740Z","title":"Trend analysis and forecast of daily reported incidence of hand, foot and mouth disease in hubei, china by prophet model","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:03.857740Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:468b8687bc3fbc083c6fee0d164da9ab631539f07cd38689a5fa460ff320eb08","observation_id":"92444477-1e1f-4019-90b1-520f71e4e2b9","resolution":{"observed_at":"2026-08-03T19:39:03.857740Z","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":"2026-08-03T19:39:03.920150Z","title":"Deep learning for time series forecasting: a survey.Big data, 9(1):3–21, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:03.920150Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:18d93cfb1bdeccaa022ccb68fd436be67f0edecffd9434f628db734c7923e08e","observation_id":"54f28d1f-9886-44e7-9d81-e5a839bfd4ae","resolution":{"observed_at":"2026-08-03T19:39:03.920150Z","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":"2026-08-03T19:39:03.991004Z","title":"Forecasting at scale.The American Statistician, 72(1):37–45, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:03.991004Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:b01682ed0eaf634bebd7e40a25e911f04394bffb4231575919c231d93bff7e5c","observation_id":"2615a486-2b02-45aa-9c7f-b21763f654da","resolution":{"observed_at":"2026-08-03T19:39:03.991004Z","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":"2026-08-03T19:39:04.083854Z","title":"A decoder-only foundation model for time-series forecasting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:04.083854Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:ee030401dd6e8db7b423cc644f6d6084293db6c9f3319738eab5ea5fa0743389","observation_id":"f48727d5-d28a-418f-97fc-1327666936d7","resolution":{"observed_at":"2026-08-03T19:39:04.083854Z","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":"2026-08-03T19:39:04.175097Z","title":"Xgboost: A scalable tree boosting system","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:04.175097Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:1e2e8176c95861ad1c02a3efa39437129f1b0204dbd371dc5a449faad6a2d66f","observation_id":"fb932359-b53f-4f9c-a583-ae1b435195a7","resolution":{"observed_at":"2026-08-03T19:39:04.175097Z","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":"2026-08-03T19:39:04.300019Z","title":"Lightgbm: A highly efficient gradient boosting decision tree.Advances in neural information processing systems, 30, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:04.300019Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:1138fd3c86271696b9bbd97231d760d744a55a1f8aec4cd3e2186f62cce13d6b","observation_id":"dcfcc7fd-ebd6-481c-b3f0-fd03b60d5f1a","resolution":{"observed_at":"2026-08-03T19:39:04.300019Z","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":"2026-08-03T19:39:04.354231Z","title":"Catboost: unbiased boosting with categorical features.Advances in neural information processing systems, 31, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:04.354231Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:a48421897958bfba9c2dd7009bf5f1c438fea9d2682c9a0122d7b38ca7219fd3","observation_id":"d21ac212-01cf-4200-a195-f05e80da72b8","resolution":{"observed_at":"2026-08-03T19:39:04.354231Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02186","last_updated":"2023-04-12T02:34:03Z","snapshot_observed_at":"2026-07-06T13:59:54.436175Z","submitted_at":"2022-10-05T12:19:51Z","title":"TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02186","snapshot_observed_at":"2026-08-03T19:39:04.523453Z","title":"Timesnet: Temporal 2d-variation modeling for general time series analysis.arXiv preprint arXiv:2210.02186, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:04.523453Z"},"links":{"cited_paper":"/paper/2210.02186","citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:a6723baed7c05076bdf6fb5ec4dc5eee5a2b218fda64af673842ef5b9839e3a7","observation_id":"479ca7ab-0713-4441-b114-36d680e8816d","resolution":{"observed_at":"2026-08-03T19:39:04.523453Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.14730","last_updated":"2023-03-05T22:11:56Z","snapshot_observed_at":"2026-07-31T22:45:35.561492Z","submitted_at":"2022-11-27T05:15:42Z","title":"A Time Series is Worth 64 Words: Long-term Forecasting with Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.14730","snapshot_observed_at":"2026-08-03T19:39:04.658658Z","title":"A time series is worth 64words: Long-term forecasting with transformers.arXiv preprint arXiv:2211.14730, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:04.658658Z"},"links":{"cited_paper":"/paper/2211.14730","citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:b3b452e6af85c16133d13d1f08a7c654191dcdcdc0b66e4e76c36d9d647ac7e6","observation_id":"e331b3d8-5189-4497-8c47-11afd71c09f8","resolution":{"observed_at":"2026-08-03T19:39:04.658658Z","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":"2026-08-03T19:39:04.787048Z","title":"Chronos-2: From univariate to universal forecasting.arXiv e-prints, pages arXiv–2510, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:04.787048Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:3b02e84c3f2f91de7d81a845532ea570dc6b91a2ac91f0da6aa35710e31616d1","observation_id":"27a7891f-b4f4-442d-bc4e-922615764952","resolution":{"observed_at":"2026-08-03T19:39:04.787048Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07815","last_updated":"2024-11-04T17:42:45Z","snapshot_observed_at":"2026-07-06T17:43:27.034067Z","submitted_at":"2024-03-12T16:53:54Z","title":"Chronos: Learning the Language of Time Series","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07815","snapshot_observed_at":"2026-08-03T19:39:04.956070Z","title":"Chronos: Learning the language of time series.arXiv preprint arXiv:2403.07815, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:04.956070Z"},"links":{"cited_paper":"/paper/2403.07815","citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:e7fc0d713d06e0281d959869e34bd93522d2c80d482dffcddf73fc76d3d09add","observation_id":"c7803d48-2056-4117-9fd0-49a83b4ac0d1","resolution":{"observed_at":"2026-08-03T19:39:04.956070Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10469","last_updated":"2024-10-14T13:01:11Z","snapshot_observed_at":"2026-07-06T19:33:04.265295Z","submitted_at":"2024-10-14T13:01:11Z","title":"Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.10469","snapshot_observed_at":"2026-08-03T19:39:05.055302Z","title":"Moirai-moe: Empowering time series foundation models with sparse mixture of experts.arXiv preprint arXiv:2410.10469, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:05.055302Z"},"links":{"cited_paper":"/paper/2410.10469","citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:c0281943e944d60cabee31ba5ea72886b5808ef8af7683861640f14f58539f57","observation_id":"8294cf43-3324-49ba-b013-c15743694f95","resolution":{"observed_at":"2026-08-03T19:39:05.055302Z","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":"2026-08-03T19:39:05.268448Z","title":"Neuro-symbolic models for interpretable time series classification using temporal logic description","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:05.268448Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:c7dc94e33318102fe6f4f518331f4a426df9b5f05ebe674820064e43d3627c3a","observation_id":"c6db827f-f7a2-4ea6-9108-f12f48120f63","resolution":{"observed_at":"2026-08-03T19:39:05.268448Z","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":"2026-08-03T19:39:05.354080Z","title":"React: Synergizing reasoning and acting in language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:05.354080Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:c6e1dd63def658e7fe1ed010774df595de6918459d99aee5499a64aaf8d40118","observation_id":"0438bf41-773e-4b15-85d0-e60f86ff9aeb","resolution":{"observed_at":"2026-08-03T19:39:05.354080Z","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":"2026-08-03T19:39:05.457319Z","title":"Logicgame: Benchmarking rule-based reasoning abilities of large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:05.457319Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:03121b3b59d2ed2b8b052c8cae1ab351ef69d053a39ab38d27d1ff4bac48779b","observation_id":"377f812a-5400-4fba-bff9-069925504018","resolution":{"observed_at":"2026-08-03T19:39:05.457319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.16291","last_updated":"2023-10-19T16:27:03Z","snapshot_observed_at":"2026-08-07T08:29:46.650400Z","submitted_at":"2023-05-25T17:46:38Z","title":"Voyager: An Open-Ended Embodied Agent with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.16291","snapshot_observed_at":"2026-08-03T19:39:05.566295Z","title":"V oyager: An open-ended embodied agent with large language models.arXiv preprint arXiv:2305.16291, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:05.566295Z"},"links":{"cited_paper":"/paper/2305.16291","citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:51eb9d9fcada50f467e772a0be8163e9258dceba59e3bcbaae86281b71bd8658","observation_id":"209f0efa-2b95-43bb-ba76-011dd39b8cdb","resolution":{"observed_at":"2026-08-03T19:39:05.566295Z","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":"2026-08-03T19:39:05.677670Z","title":"Reflexion: Language agents with verbal reinforcement learning.Advances in Neural Information Processing Systems, 36:8634–8652, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:05.677670Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:dd1ac2db6b9b6e0935719fc583837b60209fd54d965465e3850a7c2665412e55","observation_id":"c89a5293-13c5-453a-9d5e-51cd437a4372","resolution":{"observed_at":"2026-08-03T19:39:05.677670Z","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":"2026-08-03T19:39:05.784233Z","title":"Assessment of large language models in clinical reasoning: A novel benchmarking study.NEJM AI, 2(10):AIdbp2500120, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:05.784233Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:acb8f6aff78ef46c60401ec30abcaa4a54c83de7ca539b724a1ffa2efb9dd2c4","observation_id":"903fef6a-e0f5-4f72-a3c1-5f8a928f3e5f","resolution":{"observed_at":"2026-08-03T19:39:05.784233Z","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":"2026-08-03T19:39:05.893489Z","title":"Livebench: A challenging, contamination-free LLM benchmark","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:05.893489Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:9500ccb1db2375c704224f94dab483b1fbf2f4445cfc41ef83a1b07e2baed37d","observation_id":"c35a5849-f902-4fff-b945-22bfaf31b62e","resolution":{"observed_at":"2026-08-03T19:39:05.893489Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.08292","last_updated":"2025-01-14T18:13:08Z","snapshot_observed_at":"2026-07-06T20:21:04.675084Z","submitted_at":"2025-01-14T18:13:08Z","title":"HALoGEN: Fantastic LLM Hallucinations and Where to Find Them","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.08292","snapshot_observed_at":"2026-08-03T19:39:05.972114Z","title":"Halogen: Fantastic llm hallucinations and where to find them.arXiv preprint arXiv:2501.08292, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:05.972114Z"},"links":{"cited_paper":"/paper/2501.08292","citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:6bc71a87c73361a1e3905c4853e9ed7febcf2305dd4cba8518070478210f0b62","observation_id":"9bd0dc79-2de9-4883-92a5-149c9b4ff979","resolution":{"observed_at":"2026-08-03T19:39:05.972114Z","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":"2026-08-03T19:39:06.057481Z","title":"Siren’s song in the ai ocean: A survey on hallucination in large language models.Computational Linguistics, pages 1–46, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-03T19:39:06.057481Z"},"links":{"citing_paper":"/paper/2511.23276"},"observation_digest":"sha256:c643c810e9e1710a666f49da8821881401564ac9d318fd27bbbb898fbe45049e","observation_id":"b3856597-2bb2-4346-b56d-6a1fab800a2d","resolution":{"observed_at":"2026-08-03T19:39:06.057481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2511.23276","last_updated":"2026-07-13T17:06:25Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T08:37:46.429809Z","submitted_at":"2025-11-28T15:29:26Z","title":"Auditable Context-Aware HFMD Forecasting with Structured LLM Agents"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":38,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":38},"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 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2511.23276."}