{"as_of":"2026-08-24T04:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ed945425f7c932f3393ecd41a97c530b304b0ecee8158066a9972d3cb5016c9f","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T21:43:06.086060Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+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/2412.04185/citation-record","integrity":"/paper/2412.04185/integrity","json":"/paper/2412.04185/citation-record.json","paper":"/paper/2412.04185"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.459097Z","title":"Visible learning: a synthesis of over 800 meta-analyses relating to achievement","venue":null,"work_id":"bc8acd44-b4c6-4bf7-8921-c26479369ecd","year":2009},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:05.983695Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:c12e50d635a3338111eb4c2749edcef43d70f0f2b8214848fcd9a069ab96e789","observation_id":"27799f59-65a0-46f5-aa3c-f19031e9291d","resolution":{"observed_at":"2026-08-11T21:43:06.461877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.451922Z","title":"Enhancing the Quality of Learning: Dispositions, Instruction, and Learning Processes","venue":null,"work_id":"513270db-d4a5-4990-96c4-31c2f98662cb","year":2012},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:05.986634Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:7a448e1c35592bb362adc96aca9150cbf4045d587e4fb4e931baa21a5b7406a1","observation_id":"c13f61a5-22e8-4e5e-a0df-a9c1ba529b5e","resolution":{"observed_at":"2026-08-11T21:43:06.454661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.444413Z","title":"Cognitive Load During Problem Solving: Effects on Learning","venue":null,"work_id":"c8b76566-8ba9-40de-8c45-2310d4daa1c2","year":1988},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:05.989596Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:785b5395c8deb932537847f01c4814dbb002357c4b54cec56b508e046f7c1775","observation_id":"400a4cc2-e13c-44fc-9bf3-fc0eb57836ca","resolution":{"observed_at":"2026-08-11T21:43:06.447479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.437873Z","title":"Cognitive Architecture and Instructional Design","venue":null,"work_id":"bd9328e4-70fb-41b5-8b8c-ec431b6b4a26","year":1998},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:05.992466Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:a5817ffd5cba75789a50df75abe347fa1276eb21a94850914a2e02df3470de25","observation_id":"58e9c624-d1ee-491c-be35-d777dbb7e9de","resolution":{"observed_at":"2026-08-11T21:43:06.440418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.430767Z","title":"Learning of mastery","venue":null,"work_id":"4f30cc06-b530-44bc-9368-5e6d38ddf068","year":1968},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:05.995367Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:850130b5ee5efeb98f8408c2dcbc1707e320ecb4d007e4157d7656bd038bcd3c","observation_id":"6813a265-6451-4650-aaa6-e83a67b95faf","resolution":{"observed_at":"2026-08-11T21:43:06.433379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.423911Z","title":"Good-bye, teacher","venue":null,"work_id":"e7aeb720-4d8d-4292-8063-90ec15cfec7d","year":1968},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:05.998323Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:1ae304534ff7df0869e4a57ab39a8bf45ef21712f425b123dada3d6bf6777b5d","observation_id":"2aa2eede-936e-43bf-a09b-aaa74ed1e864","resolution":{"observed_at":"2026-08-11T21:43:06.426389Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.417023Z","title":"Learning with ALeA: T ailored Experiences through Annotated Course Material","venue":null,"work_id":"178c2aef-a8f8-40ba-a11e-2f236f11d65b","year":2023},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.001503Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:45111896733b174e915bc5ac65dd2a997fa051d23fcfdfb164b4fe156c11d3be","observation_id":"36cee01b-0967-41b8-8eb1-c21c1d1224f6","resolution":{"observed_at":"2026-08-11T21:43:06.419840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.410517Z","title":"Automatic Question Generation from T ext - an Aid to Independent Study","venue":null,"work_id":"3e088b27-db23-4ef9-803e-22cc0a19f753","year":1976},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.004118Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:6e71d2c5fe04752ac8c425902a3645bab908a383ca6a2fc5bc81b60a57ad6149","observation_id":"cb41cda8-6bf6-4da3-85d3-3da15735a2cd","resolution":{"observed_at":"2026-08-11T21:43:06.413080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.403644Z","title":"Can We T rust AI-Generated Educational Content? Comparative Analysis of Human and AI-Generated Learning Resources","venue":null,"work_id":"f3493622-ce13-4873-940e-678876f264f4","year":2023},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.006663Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:db549a9f697c6c29666e727292286754f129082fb2119ba32a06bc17a66f4d86","observation_id":"7b4dea06-8ea6-422f-b82c-00106e445bc4","resolution":{"observed_at":"2026-08-11T21:43:06.406424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.396816Z","title":"Automatic Generation of Multiple-Choice Questions for CS0 and CS1 Curricula Using Large Language Models","venue":null,"work_id":"c9330d36-3c65-48ef-b3a1-4485c3828757","year":2023},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.009199Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:a0d05898b2db536f5e65ac37061b8a710aedad48f2f49493c5bcda7faa65c52f","observation_id":"50e4cadc-a132-429f-9f2e-f9805417dcfa","resolution":{"observed_at":"2026-08-11T21:43:06.399588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.389642Z","title":"Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models","venue":null,"work_id":"9db022a9-f21f-4585-90c7-659a71d59553","year":2022},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.011704Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:c4778b5701a6703bcf0ebf700b02c0e93f869e4d3f7eac394658599bccbe092c","observation_id":"0b52ec82-a2dc-4782-baf7-7a5ec7631db0","resolution":{"observed_at":"2026-08-11T21:43:06.392660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.382926Z","title":"A Systematic Review of Automatic Question Generation for Educational Purposes","venue":null,"work_id":"18c0993b-f10f-4b2a-b5e7-c36e3aea6d9a","year":2020},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.014212Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:6a415369964edc1e5f32c2df457ba0d4d0a0aa318412d09ce1ab52441c48ee72","observation_id":"f78b0f99-0b59-4274-8e75-55b3ae019512","resolution":{"observed_at":"2026-08-11T21:43:06.385612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.376192Z","title":"The Robots Are Here: Navigating the Generative AI Revolution in Computing Education","venue":null,"work_id":"956d4c89-f87b-4245-9f5e-efb70c20bca5","year":2023},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.016788Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:747fc524598994347e8683b0b61ae8d12ba669ce92ff31cd15698f90b3915a99","observation_id":"c73d5ad4-451a-4074-9b2c-37eda462ab26","resolution":{"observed_at":"2026-08-11T21:43:06.378830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.369148Z","title":"T owards Automated Generation and Evaluation of Questions in Educational Domains","venue":null,"work_id":"1da272d7-768a-4bd5-8290-efc549606ed8","year":2022},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.019325Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:b8df9a7ff4037153ecb2ac62c19298e6b008ae58f1310e369fd8dcdf8d48411d","observation_id":"126decdc-706e-405b-b449-dde0db7ec609","resolution":{"observed_at":"2026-08-11T21:43:06.371858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.362372Z","title":"T owards Human-Like Educational Question Generation with Large Language Models","venue":null,"work_id":"0e6080f2-350e-4ca7-8918-36c41e224d64","year":2022},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.021877Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:4bdde9c6ff560831fc427999a017b9726dc3f66070b4b44f04aaa191c83ab7b4","observation_id":"de487b7c-3242-4474-8c08-cfd2dafb4d9b","resolution":{"observed_at":"2026-08-11T21:43:06.365131Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.355446Z","title":"From Hype to Insight: Exploring ChatGPT ’s Early Footprint in Education via Altmetrics and Bibliometrics","venue":null,"work_id":"20c1f80b-f9c9-4b19-b080-8572727cf661","year":2024},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.024304Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:7aa0639d7cb6df69532dc059a4e3de41bd0777d0be1f585807d0fc09d8d56560","observation_id":"5301f3bd-edaa-44b6-aef2-ecb428e3fe65","resolution":{"observed_at":"2026-08-11T21:43:06.358159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.348229Z","title":"Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review","venue":null,"work_id":"35c80137-0f16-4f0d-80f7-7aa5ba45d87e","year":2024},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.026891Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:a5b1e4edf6b776393678e897c17cf6047cbaa113fc08960aca6d9aaf7f5d0bd0","observation_id":"3a8b61f6-5ab0-4bf5-8ced-3a9e0cf7e87c","resolution":{"observed_at":"2026-08-11T21:43:06.351147Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.341241Z","title":"Exploring Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning","venue":null,"work_id":"0dfc02e2-2565-47c1-9e82-714c1fd2e616","year":2023},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.029449Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:435ecf658467276ccfa47b75a557d38f8e79aa0ce8495194f371d25335caee8d","observation_id":"6035465d-bf3c-4c37-898a-5d062e6ef331","resolution":{"observed_at":"2026-08-11T21:43:06.343996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.333575Z","title":"Reading Comprehension Quiz Generation Using Generative Pre-trained T ransform- ers","venue":null,"work_id":"aebd8175-4aa2-43f0-b92c-80bed37a8aac","year":2022},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.031948Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:83bf1cfbdad17a01a856ec11b3f265d69440c3123af774a140b80d931a2e6ce7","observation_id":"9138c580-23d8-450a-8fb8-44ad401a4c73","resolution":{"observed_at":"2026-08-11T21:43:06.337045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.327318Z","title":"Generating Multiple Choice Questions for Computing Courses Using Large Language Models","venue":null,"work_id":"aa343f4d-64ad-4471-ac6b-bc1d7e934a08","year":2023},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.034433Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:fbfae6363c6a277ed764bfae4a2d095cd38c95b30e3ca39a8dc1c00406ca176c","observation_id":"3456e278-1c19-42ee-934e-5b510fe9e96c","resolution":{"observed_at":"2026-08-11T21:43:06.329762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.320631Z","title":"A T axonomy for Learning, T eaching, and Assessing: A Revision of Bloom’s T axon- omy of Educational Objectives","venue":null,"work_id":"2a09fbf3-16ab-485f-b578-2c43a4a4d040","year":2001},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.037006Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:3a94b5e9c9c73c295660781965e1759beb7d96fa1c75ef750d370265bfb122b8","observation_id":"926efec2-440f-4387-bc1c-75ca786130fd","resolution":{"observed_at":"2026-08-11T21:43:06.323412Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.313490Z","title":"The Y-Model - Formalization of Computer Science T asks in the Context of Adaptive Learning Systems","venue":null,"work_id":"55ab99f8-316c-4b9b-92ab-48c97f32a584","year":2023},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.039405Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:7cfe248c6d693dc6749712218b4dd77db75b9da99d694a410bdb7cea0f225311","observation_id":"cd4e7bea-6044-4fd7-aba9-cdb9bb16d64b","resolution":{"observed_at":"2026-08-11T21:43:06.316190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.306381Z","title":"Automatic Multiple Choice Question Generation From T ext: A Survey","venue":null,"work_id":"6f7be4df-de03-416c-9634-9fa7e9b68314","year":2020},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.041831Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:44a040f50ccfc1473e1bb93c04a34ed719e0fae72c8a5c4c7176e939f5d8f005","observation_id":"6e9bb13f-ebd6-4aab-9607-33239e811ae6","resolution":{"observed_at":"2026-08-11T21:43:06.309285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.299199Z","title":"Automatic Question Generation: A Review of Methodologies, Datasets, Evaluation Metrics, and Applications","venue":null,"work_id":"0611399c-cfc2-45e3-8a4c-505f7f8cde36","year":2023},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.044289Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:7e74837517f6d31da26b2c09d22a26e4666e7cf55c6718d5acdd118872186c24","observation_id":"988aa202-6e36-4f17-bf71-7f050f980790","resolution":{"observed_at":"2026-08-11T21:43:06.302066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.292037Z","title":"The Power of Feedback","venue":null,"work_id":"90dde822-8b65-4160-a548-e151d052c9c3","year":2007},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.046809Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:07b7649f5a2c8dfb91da2ac14fcef5511eecddb21238bb8c110a51e78856289f","observation_id":"5202383a-3eea-4cd0-b4a9-b2d8af1b422d","resolution":{"observed_at":"2026-08-11T21:43:06.294555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.284870Z","title":"Exploring the Potential of Large Language Models to Generate Formative Programming Feedback","venue":null,"work_id":"c20fe48e-cac8-4115-af2c-ed6a5eb064df","year":2023},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.049238Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:cc19e1cbd496d22c3353de8dd4e5193a443a7ecdfb26ea9e91bbe7c3bb0efdba","observation_id":"6dbf9c89-fd16-46c5-a35b-d3f0103c60fb","resolution":{"observed_at":"2026-08-11T21:43:06.287790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.277636Z","title":"Let Them T ry to Figure It Out First","venue":null,"work_id":"138042e0-2d1f-46da-93c7-5f4af6432bb4","year":2024},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.051787Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:dcf17bda916572e989628a4afb96626971073b78815588f5ae2461921d580052","observation_id":"b851c53f-3d18-4afa-b1e6-19155f8b32f7","resolution":{"observed_at":"2026-08-11T21:43:06.280496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.270733Z","title":"Exploring the Responses of Large Language Models to Beginner Programmers’ Help Requests","venue":null,"work_id":"5eda4c53-2f5b-42ce-bb3a-78706bb1b06e","year":2023},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.054238Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:25baa369791cb74f2d0f3e86a50066d89538169190db46145c0f0ecfc8d1a75f","observation_id":"3f06eaf9-f161-4d5e-b8b1-8117dc411bc0","resolution":{"observed_at":"2026-08-11T21:43:06.273516Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.263561Z","title":"Investigating the Potential of GPT-3 in Providing Feedback for Programming Assessments","venue":null,"work_id":"1c54c9c7-205a-443a-a788-4df15f08425a","year":2023},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.056786Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:da8b950a71d383540390d37ebc6cc02454a0ab8f45cb529e53ce5d8fb9c790be","observation_id":"283e7e20-a41e-40c4-aae6-6d5f4a14ec00","resolution":{"observed_at":"2026-08-11T21:43:06.266485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.255999Z","title":"A Large Language Model-Assisted Education T ool to Provide Feed- back on Open-Ended Responses","venue":null,"work_id":"3ee972d7-fd80-4681-9c7d-d89bdf136c1e","year":2023},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.059233Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:c94f3d3724aee6840731185658c32fedab31532dc2297b941cb37959c044318a","observation_id":"ccee1ab5-4538-4c12-8371-e4ee07d7cc31","resolution":{"observed_at":"2026-08-11T21:43:06.258838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.248994Z","title":"System Description: s T eX3 – A LATEX-based Ecosystem for Semantic/Active Mathematical Docu- ments","venue":null,"work_id":"3e9b00a1-fdee-42b8-ba0e-2878009f6843","year":2022},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.061836Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:2238d2f83f05e03bf5a0de879b0a9689e5857d4818f612243ef44b5d77e84f07","observation_id":"001b3a79-a7fc-4098-98bd-22a978dc6538","resolution":{"observed_at":"2026-08-11T21:43:06.251538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.236174Z","title":"OMDoc – An open markup format for mathematical documents [Version 1.2]","venue":null,"work_id":"2b0773e6-a130-49ab-9c43-7e786b92db47","year":2006},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.066431Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:ec119738be980e7d3b68f47982e509e50bfc908d93f68a9d8a0ef76eb393b4e8","observation_id":"90680ed7-d7ac-4a9e-bf44-02e9d5d35a49","resolution":{"observed_at":"2026-08-11T21:43:06.238553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.228563Z","title":"https://github.com/slatex/sTeX/blob/main/doc/stex-manual.pdf","venue":null,"work_id":"09fc51b9-8815-40fb-972b-24c9dffff214","year":null},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.068467Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:e66d9a7916b991e13de1a5aa953fc199b8782051092867640026625d8976db74","observation_id":"7c570874-b726-4483-918e-4d2a231dac28","resolution":{"observed_at":"2026-08-11T21:43:06.231743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.220375Z","title":"An HTML/CSS schema for T EX primitives – generating high-quality responsive HTML from generic T EX","venue":null,"work_id":"2aa90caf-d7c2-40e6-9cd4-dc411ee016c0","year":2023},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.070581Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:6f27b7330642ca1784ddd0078c52acaadd9f04e81ea5bbcbba11f08cc3f8c527","observation_id":"0135d6c3-1709-4b61-a4a2-dc7861a67dd3","resolution":{"observed_at":"2026-08-11T21:43:06.223594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-17T09:58:46.058102Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-11T21:43:06.072541Z","title":"arXiv; 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.072541Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:890db17129cbd95ae4238914d0429e58bc461b13e839b57adc5125055bccd1a0","observation_id":"c5443b5c-00b4-4260-b1f1-763048c6bd9b","resolution":{"observed_at":"2026-08-11T21:43:06.072541Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.212512Z","title":null,"venue":null,"work_id":"29e5add6-621c-4300-95d1-3f15f88da1ba","year":2023},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.075058Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:0b871cd91ad8de298c29cc382dd20f133e3b3e2a496d0cc5c305fa5229c10d95","observation_id":"1c835e1a-cb8a-4f7f-bde0-6f3ff0ffc830","resolution":{"observed_at":"2026-08-11T21:43:06.215232Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.077013Z","title":"Why Johnny Can’t Prompt: How Non-AI Experts T ry (and Fail) to Design LLM Prompts","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.077013Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:573bc23e1d3fe2fc9d40bcd66e2c915972ec256cffdb61fcdf1f3e5e8ece4201","observation_id":"d465bc09-fe3a-4df8-9bc4-115d83028771","resolution":{"observed_at":"2026-08-11T21:43:06.077013Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.204664Z","title":"https://platform.openai.com/docs/guides/prompt- engineering","venue":null,"work_id":"a022323c-8ceb-412f-969e-91374acc89e4","year":2024},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.079030Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:3d7a817a377b8ff5f74e2d2e2c7b4354674c5193d30483e1ca1edc986094117c","observation_id":"acaa1cb2-c42f-4e6a-a438-0e1113ea127d","resolution":{"observed_at":"2026-08-11T21:43:06.207577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.196219Z","title":"A Novel Framework for the Generation of Multiple Choice Question Stems Using Semantic and Machine-Learning T echniques","venue":null,"work_id":"0490c617-eaf5-4ebc-8c8b-46058f71d1dc","year":2023},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.080965Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:df41322cf1d72c1ee03ee103fd307b1b715dca55df28abae1e7fe12e56435bcd","observation_id":"be20ebf3-b8ed-4a1d-919f-5c9b26773519","resolution":{"observed_at":"2026-08-11T21:43:06.199392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.187701Z","title":"Y ou’re (Not) My Type – Can LLMs Generate Feedback of Specific Types for Introductory Programming T asks? Journal of Computer Assisted Learning (JCAL) 2024;Accepted","venue":null,"work_id":"154df766-248d-443b-b509-5af72db5c4e2","year":2024},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.083442Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:6381cdb93bfa3682057cc35a90cc04a3b5394d32b9b1625c6132e332a3a431da","observation_id":"71207cc8-3816-44b5-bcfb-e25e5fc6901f","resolution":{"observed_at":"2026-08-11T21:43:06.190937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.177633Z","title":"Playing Games with Ais: The Limits of GPT-3 and Similar Large Language Models","venue":null,"work_id":"b791a5fc-2e12-46f2-b823-a1d8b1bfbfc7","year":2022},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.086060Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:e3b45ed06ba05d6ae767716917c6aa2a054950c20cfde179d2ea6579cc625297","observation_id":"6f4b4f28-d638-48c6-b9ab-207a455f2ff5","resolution":{"observed_at":"2026-08-11T21:43:06.182412Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T21:43:06.242713Z","title":null,"venue":null,"work_id":"c4c77990-3756-4498-9629-97008797bc34","year":null},"citing_paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-11T21:43:06.064340Z"},"links":{"citing_paper":"/paper/2412.04185"},"observation_digest":"sha256:74676356e156c32c0848b5b6665e15e94f42d81d9ca0fe9b5bffce31172c0935","observation_id":"dd810bc3-01cc-427d-b262-d5bf2aee6e02","resolution":{"observed_at":"2026-08-11T21:43:06.244962Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.04185","last_updated":"2024-12-05T14:24:07Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-11T21:37:39.911254Z","submitted_at":"2024-12-05T14:24:07Z","title":"Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":38},"total_outbound_references":42},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 24 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2412.04185."}