{"as_of":"2026-08-21T04:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f1381f11085932b3430027c607901087450dced6d76260b9535a3d3d2694466d","coverage":[{"denominator":25,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":25,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T19:32:46.924312Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/2509.09226/citation-record","integrity":"/paper/2509.09226/integrity","json":"/paper/2509.09226/citation-record.json","paper":"/paper/2509.09226"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T19:32:46.819221Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.819221Z"},"links":{"citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:7c4ec1558727daa5f9ee8be584fde23c80fc61cb351b372bbb36891b824394fe","observation_id":"966edf5d-e8a0-4c7a-8c2d-e2567c07506c","resolution":{"observed_at":"2026-08-04T19:32:46.819221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.04234","last_updated":"2023-06-07T08:24:44Z","snapshot_observed_at":"2026-08-18T20:29:35.897124Z","submitted_at":"2023-06-07T08:24:44Z","title":"Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.04234","snapshot_observed_at":"2026-08-04T19:32:46.829874Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.829874Z"},"links":{"cited_paper":"/paper/2306.04234","citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:1337d3fda7369ca0fe8d5915d5bcc0e7765cdca2a293c0992719dcec362c5838","observation_id":"711d71ad-2e03-41ad-8020-c869d6f5bc2c","resolution":{"observed_at":"2026-08-04T19:32:46.829874Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.10360","last_updated":"2022-03-17T11:49:55Z","snapshot_observed_at":"2026-08-16T18:37:57.151597Z","submitted_at":"2021-03-18T16:30:26Z","title":"GLM: General Language Model Pretraining with Autoregressive Blank Infilling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.10360","snapshot_observed_at":"2026-08-04T19:32:46.835896Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.835896Z"},"links":{"cited_paper":"/paper/2103.10360","citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:973e75aa78ce9c99e50c5d99c7a6703e0cb37e8c80dae43fba10f466ea62a312","observation_id":"c2ee59ea-f2ab-4fd4-87ac-6b3b38bb4ad7","resolution":{"observed_at":"2026-08-04T19:32:46.835896Z","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":"2026-08-04T19:32:46.840323Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.840323Z"},"links":{"citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:c67adf5c054b565da83e2e8d251065e9d0080a06795cce3ea20263f478add211","observation_id":"11196ded-0b14-4838-9fa8-afecd702d6e9","resolution":{"observed_at":"2026-08-04T19:32:46.840323Z","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":"2026-08-04T19:32:46.844479Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.844479Z"},"links":{"citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:5cc32f495d1d91c25c318c5f0442158296ffcac8cba072ebfa98f64b1ffdb431","observation_id":"4c347b0a-c582-4a71-83a6-9709f882b759","resolution":{"observed_at":"2026-08-04T19:32:46.844479Z","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":"2026-08-04T19:32:46.848435Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.848435Z"},"links":{"citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:eae36e4492fba35344fdca48d53e384c4f0e9330c76875cfec9f7ffb41392c06","observation_id":"316793ae-74d4-42a8-934a-ca57f2d99b84","resolution":{"observed_at":"2026-08-04T19:32:46.848435Z","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":"2026-08-04T19:32:46.852789Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.852789Z"},"links":{"citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:9ce23fc044db8b9b3a28c59ed7c05440f182d2f26b23bcc750524c28a1d5faf9","observation_id":"3154ae13-06a0-487d-876c-f619d3de8fbb","resolution":{"observed_at":"2026-08-04T19:32:46.852789Z","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":"2026-08-04T19:32:46.863819Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.863819Z"},"links":{"citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:6d9071191d3672a02824645c43a12f9a2fd77671ea1f63ef62b6aac14eb91e9c","observation_id":"6b1dbfe6-53c4-4e96-9e0b-f5cad309ecb2","resolution":{"observed_at":"2026-08-04T19:32:46.863819Z","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":"2026-08-04T19:32:46.871128Z","title":null,"venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.871128Z"},"links":{"citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:ac006e9c85afe17acc01aaa8c1885977f00ea329d3f0d0aadf9917f9dd1524ba","observation_id":"41dda574-ac1b-41b2-8cd4-06c394b710ae","resolution":{"observed_at":"2026-08-04T19:32:46.871128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-04T19:32:46.874869Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.874869Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:ca050d1dc454f68cea668d86fa61af9c16933ab30ec32c0cfabab01cc28d1ed0","observation_id":"6e380925-11b1-46b7-afda-0e9543cbe234","resolution":{"observed_at":"2026-08-04T19:32:46.874869Z","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":"2026-08-04T19:32:46.867579Z","title":"InProceedings of the 29th ACM international conference on multimedia","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.867579Z"},"links":{"citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:694403a62847d59da09cb01ce6ab9182bb9319e90639896cb887576b08b141b7","observation_id":"96b28e07-4b39-47ca-9f9a-cb9557f5eaf6","resolution":{"observed_at":"2026-08-04T19:32:46.867579Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.06177","last_updated":"2024-09-10T03:12:39Z","snapshot_observed_at":"2026-08-16T13:19:54.460373Z","submitted_at":"2024-09-10T03:12:39Z","title":"HierLLM: Hierarchical Large Language Model for Question Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.06177","snapshot_observed_at":"2026-08-04T19:32:46.883008Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.883008Z"},"links":{"cited_paper":"/paper/2409.06177","citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:5d01b9842a09599fe7e2ffd809293785dc5a2858940af1808d3adcde92186420","observation_id":"44a4f9c3-6063-4acd-9cc1-43f2465ce3f4","resolution":{"observed_at":"2026-08-04T19:32:46.883008Z","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":"2026-08-04T19:32:46.887034Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.887034Z"},"links":{"citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:09c230f90607609f446961e46104187da5a124fad6840661dcb0ff12dbdff30c","observation_id":"e5acb702-e69e-4caf-84f4-c54b958098cf","resolution":{"observed_at":"2026-08-04T19:32:46.887034Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.00268","last_updated":"2021-07-31T15:42:03Z","snapshot_observed_at":"2026-08-16T18:06:08.017915Z","submitted_at":"2021-07-31T15:42:03Z","title":"RLTutor: Reinforcement Learning Based Adaptive Tutoring System by Modeling Virtual Student with Fewer Interactions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.00268","snapshot_observed_at":"2026-08-04T19:32:46.879057Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.879057Z"},"links":{"cited_paper":"/paper/2108.00268","citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:5132e32c420e587798cde2dd6f196e18777cdc4b0fd68b03dd2120bf528f3973","observation_id":"ad99cbdc-f66c-4339-a68e-df4ba2b2d45f","resolution":{"observed_at":"2026-08-04T19:32:46.879057Z","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":"2026-08-04T19:32:46.894738Z","title":"2012.Applications of item response theory to practical testing problems","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.894738Z"},"links":{"citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:6f87cc67f14058a5c501333db4f9b3b9c306aaa8fc55aa17b7fbe23aa1f85a05","observation_id":"d2d49d9e-0576-49a1-8c64-76389c02b7f8","resolution":{"observed_at":"2026-08-04T19:32:46.894738Z","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":"2026-08-04T19:32:46.898434Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.898434Z"},"links":{"citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:e8745a5cdae4709cbb1ea46659e03b8f97911a7f16c8a83aecc10c2c16174fe4","observation_id":"4a23d6b5-c56d-4a19-b90c-a14d53a21919","resolution":{"observed_at":"2026-08-04T19:32:46.898434Z","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":"2026-08-04T19:32:46.890810Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.890810Z"},"links":{"citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:5bc78eafc0114c5a853b35b9f38b9e8d49e2b361547811196843ed67f643e22f","observation_id":"2f1b834f-f500-4552-9062-996af8bd09e4","resolution":{"observed_at":"2026-08-04T19:32:46.890810Z","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":"2026-08-04T19:32:46.906195Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.906195Z"},"links":{"citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:ef9d210f649764c968b8dd73aeedad55f8facd15962b3aaca8496dcf5156db3b","observation_id":"c6fc5737-1b49-4585-be8c-c45873117e12","resolution":{"observed_at":"2026-08-04T19:32:46.906195Z","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":"2026-08-04T19:32:46.909791Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.909791Z"},"links":{"citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:027fbfe349b17d93e584f2bac63f92c1a4de3b99ab2a525fbf0cdf8327dceb4f","observation_id":"778d5f2e-b03c-45d4-bbba-3156294613d1","resolution":{"observed_at":"2026-08-04T19:32:46.909791Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.06837","last_updated":"2019-07-16T04:47:35Z","snapshot_observed_at":"2026-08-15T06:24:46.433490Z","submitted_at":"2019-07-16T04:47:35Z","title":"A Self-Attentive model for Knowledge Tracing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.06837","snapshot_observed_at":"2026-08-04T19:32:46.902027Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.902027Z"},"links":{"cited_paper":"/paper/1907.06837","citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:aacae03f55301cc23a69c7629b8f744dca24dc4ccd853dd1162c328ed961f9db","observation_id":"ed805c15-10b0-4f23-bd1a-82a5f58f59b0","resolution":{"observed_at":"2026-08-04T19:32:46.902027Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.02945","last_updated":"2025-02-05T07:21:49Z","snapshot_observed_at":"2026-08-21T03:18:12.312130Z","submitted_at":"2025-02-05T07:21:49Z","title":"LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.02945","snapshot_observed_at":"2026-08-04T19:32:46.917090Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.917090Z"},"links":{"cited_paper":"/paper/2502.02945","citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:9e210ac17ec851cddd2e91f6db124df644d5749edd11c42610ec67171dfaa226","observation_id":"8eec7263-e0b2-498a-a47a-c2989e77ecca","resolution":{"observed_at":"2026-08-04T19:32:46.917090Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.11738","last_updated":"2019-04-26T09:38:37Z","snapshot_observed_at":"2026-08-17T11:36:12.259436Z","submitted_at":"2019-04-26T09:38:37Z","title":"Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.11738","snapshot_observed_at":"2026-08-04T19:32:46.920695Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.920695Z"},"links":{"cited_paper":"/paper/1904.11738","citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:4b55442c7b2d21e1bc84070417e80f04b48144781e19c6bc27cb1f83e41b8feb","observation_id":"c7940b2d-485f-449a-9134-cc7056efbf87","resolution":{"observed_at":"2026-08-04T19:32:46.920695Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.10903","last_updated":"2018-02-04T19:13:29Z","snapshot_observed_at":"2026-08-13T22:35:40.714745Z","submitted_at":"2017-10-30T12:41:12Z","title":"Graph Attention Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.10903","snapshot_observed_at":"2026-08-04T19:32:46.913309Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.913309Z"},"links":{"cited_paper":"/paper/1710.10903","citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:44851c27ff954ca6e16deaf76c3cf230204c6e550c329ee817edae1b73d88a87","observation_id":"a7a389df-34d7-4b8a-a54c-2e5c66e1eba7","resolution":{"observed_at":"2026-08-04T19:32:46.913309Z","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":"2026-08-04T19:32:46.924312Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.924312Z"},"links":{"citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:f202a31966428cd745b4ed8decf70660011086f13f12bb998aae4ec9eacc5335","observation_id":"18625d0e-deb4-4d74-b884-723ad183a458","resolution":{"observed_at":"2026-08-04T19:32:46.924312Z","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":"2026-08-04T19:32:46.824916Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-04T19:32:46.824916Z"},"links":{"citing_paper":"/paper/2509.09226"},"observation_digest":"sha256:013e02c5195c9596290c764e925ca84919ad3fef512b4a18ab7c810f90acfcd0","observation_id":"74ab44a9-87aa-440a-9062-b18dd1e28969","resolution":{"observed_at":"2026-08-04T19:32:46.824916Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.09226","last_updated":"2025-09-11T07:59:30Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T22:44:19.266420Z","submitted_at":"2025-09-11T07:59:30Z","title":"Constructing a Question-Answering Simulator through the Distillation of LLMs"},"reference_resolution":{"displayed":25,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":25,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":25},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2509.09226."}