{"as_of":"2026-08-17T14:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b6e5156935af81cb474240b8f72414113427a4b41b6981d0e56f7ec657af4dce","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T04:17:42.047382Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.10154/citation-record","integrity":"/paper/2608.10154/integrity","json":"/paper/2608.10154/citation-record.json","paper":"/paper/2608.10154"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:17:41.916297Z","title":"Payne, and Valentina Tamma","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:41.916297Z"},"links":{"citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:58fe3a17bcbf41a3cd7941028ca097106fdfcd0ffc13a6742acd0217236fa3a6","observation_id":"601f6b2c-c7a2-4828-9de2-05e69ba51c64","resolution":{"observed_at":"2026-08-14T04:17:41.916297Z","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":"2026-08-14T04:17:42.716041Z","title":null,"venue":null,"work_id":"6536aa55-256e-440a-a553-638525052e0c","year":2024},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:41.921537Z"},"links":{"citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:0239072ec82f64275c6745069763c19a8572ab8c6a751bc31ceb02f6bbf87516","observation_id":"f2f1b74b-4993-4281-b111-46ccbf2dfde7","resolution":{"observed_at":"2026-08-14T04:17:42.720277Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.11416","last_updated":"2022-12-06T21:39:48Z","snapshot_observed_at":"2026-08-17T10:20:11.128461Z","submitted_at":"2022-10-20T16:58:32Z","title":"Scaling Instruction-Finetuned Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.11416","snapshot_observed_at":"2026-08-14T04:17:41.927656Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:41.927656Z"},"links":{"cited_paper":"/paper/2210.11416","citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:9a12cc42299dad6d6d47e104fabcfa819b56a34dbc58d4dc952afd682309c8cc","observation_id":"d9a1a7ad-2784-4822-acd8-f5cc71141640","resolution":{"observed_at":"2026-08-14T04:17:41.927656Z","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":"2026-08-14T04:17:41.932428Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:41.932428Z"},"links":{"citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:5dbbca382c3a87be82f431f524c9d782a94b922a7a7701e81aa1c545b691e0d8","observation_id":"cd4df03e-60df-4f1e-bada-65af33baee70","resolution":{"observed_at":"2026-08-14T04:17:41.932428Z","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":"2026-08-14T04:17:41.936734Z","title":"Gierl and Thomas M","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:41.936734Z"},"links":{"citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:ed7d1ff0c4176ce05c4bc0ab3b23a1ebe038c60d839301ffadc70e3afd56866c","observation_id":"bc9776ae-754b-43e5-af22-92304a77b289","resolution":{"observed_at":"2026-08-14T04:17:41.936734Z","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":"2026-08-14T04:17:42.691596Z","title":null,"venue":null,"work_id":"afa89329-9c89-4935-9bf7-ad308d7f760d","year":2026},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:41.941107Z"},"links":{"citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:b1022a4af6d0673fc6edd040929a731ba36d5135719a21ccb24b22ccea00adf6","observation_id":"9924aecf-4e3c-40f7-b0e1-68e526cbab12","resolution":{"observed_at":"2026-08-14T04:17:42.696100Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.15645","last_updated":"2024-07-22T14:02:59Z","snapshot_observed_at":"2026-08-16T13:32:08.352934Z","submitted_at":"2024-07-22T14:02:59Z","title":"Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.15645","snapshot_observed_at":"2026-08-14T04:17:41.945698Z","title":"Domingue, Emma Brunskill, and Noah D","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:41.945698Z"},"links":{"cited_paper":"/paper/2407.15645","citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:28386f38b719192baaa024fb091a579660de9ba45b6bcd6c1719613c716af985","observation_id":"100ddd7f-570f-477b-ac28-88c85ef7fd3e","resolution":{"observed_at":"2026-08-14T04:17:41.945698Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-11T08:20:29.798517Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-14T04:17:41.950875Z","title":"Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:41.950875Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:73f28e0a9f4bc53791f859b51fa5b966bbeb667fc16e0aaa99d5b5a265cb4b51","observation_id":"45bcf39f-2156-4f0a-ab06-cff48667275d","resolution":{"observed_at":"2026-08-14T04:17:41.950875Z","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":"2026-08-14T04:17:42.677658Z","title":null,"venue":null,"work_id":"534ebbc2-6d92-4169-8a90-66aa740e7cee","year":2025},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:41.955019Z"},"links":{"citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:fa32edd0cda1a76dc21d01ebc325e7722ea25492fbf316e29e792e172bef66d3","observation_id":"407afada-1ecb-4031-88a2-07ebe5e32df1","resolution":{"observed_at":"2026-08-14T04:17:42.681743Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.19887","last_updated":"2024-07-03T14:30:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-03-28T23:55:06Z","title":"Jamba: A Hybrid Transformer-Mamba Language Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.19887","snapshot_observed_at":"2026-08-14T04:17:41.958994Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:41.958994Z"},"links":{"cited_paper":"/paper/2403.19887","citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:92de3e75cf546aaf0ada285b3cd522e0ee217cac4f2e99b89b2b79026ef4acd2","observation_id":"6cb3c7bb-ed2c-4a6e-a2ca-fe169407f13a","resolution":{"observed_at":"2026-08-14T04:17:41.958994Z","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":"2026-08-14T04:17:41.963942Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:41.963942Z"},"links":{"citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:b87e2ea2abe3fa8d4a34439915b2110988bcec64ba6e2f78e0e17775092e265a","observation_id":"83e78273-19bb-4a75-b4d3-4d74e20082bd","resolution":{"observed_at":"2026-08-14T04:17:41.963942Z","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":"2026-08-14T04:17:41.969140Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:41.969140Z"},"links":{"citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:e2d35d8dd9fffa65c5c4a69ea636f520834dfa0092f4ef49c1a797c945ed61d7","observation_id":"098d9fc1-4af8-48ce-b944-b2acc37b1c11","resolution":{"observed_at":"2026-08-14T04:17:41.969140Z","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":"10.1177/00131644241281053","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:17:42.232215Z","title":null,"venue":null,"work_id":"c3fc634b-9cb8-483a-8d73-99a9dc2dc7f8","year":2025},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:41.973662Z"},"links":{"citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:665eafd9043b5bbda4a176c76e5515d13aabf78de20427d16fabfbfdea9b270a","observation_id":"0ecafde5-85a6-4881-84df-ea45d14c4d78","resolution":{"observed_at":"2026-08-14T04:17:42.236600Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.59863/okuu1904","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:17:42.217974Z","title":null,"venue":null,"work_id":"392ffa68-ea28-40df-b10c-8de84589498d","year":2024},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:41.977944Z"},"links":{"citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:72cdaf6c432f2d0b1d3878ad47cfe62ad490886797e32d140e120b417b047c7e","observation_id":"82e4848a-5b6e-467e-b152-07cf4ce542a0","resolution":{"observed_at":"2026-08-14T04:17:42.222129Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.02580","last_updated":"2026-07-24T20:17:29Z","snapshot_observed_at":"2026-08-11T08:21:16.011639Z","submitted_at":"2026-01-05T22:11:41Z","title":"Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models","version":2},"cited_work":{"arxiv_id":"2601.02580","doi":null,"metadata_source":"pith","pith_arxiv_id":"2601.02580","snapshot_observed_at":"2026-08-14T04:17:42.499593Z","title":"Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models","venue":"cs.CL","work_id":"275c7d5c-d4fa-4935-94c2-8bceff3af75b","year":2026},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:41.982561Z"},"links":{"cited_paper":"/paper/2601.02580","citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:80ea4dbb7924861c5c3cf0f86c0fe5cc571e13fe43c13b2e05c96f8abf425d51","observation_id":"e0954cc6-9b08-4dbe-b2d5-50dd9e757684","resolution":{"observed_at":"2026-08-14T04:17:42.505258Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.00377","last_updated":"2021-05-02T02:10:31Z","snapshot_observed_at":"2026-08-16T18:27:37.670568Z","submitted_at":"2021-05-02T02:10:31Z","title":"MathBERT: A Pre-Trained Model for Mathematical Formula Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.00377","snapshot_observed_at":"2026-08-14T04:17:41.986734Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:41.986734Z"},"links":{"cited_paper":"/paper/2105.00377","citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:e2712f613e6a882836817d3202be92d8a4712a68f9758cd54119996c616c4b79","observation_id":"db21d4ad-174b-4802-b747-b45986da721f","resolution":{"observed_at":"2026-08-14T04:17:41.986734Z","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":"2026-08-14T04:17:41.990723Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:41.990723Z"},"links":{"citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:35e9ace4003cbc95ceeb432f087f9de54ab67c516294ced47f7f9061dc0c3b8f","observation_id":"bfcf4933-f405-46eb-9d34-6c678ed567ca","resolution":{"observed_at":"2026-08-14T04:17:41.990723Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.06708","last_updated":"2025-05-10T17:15:49Z","snapshot_observed_at":"2026-08-14T13:38:50.524779Z","submitted_at":"2025-05-10T17:15:49Z","title":"Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.06708","snapshot_observed_at":"2026-08-14T04:17:41.994449Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:41.994449Z"},"links":{"cited_paper":"/paper/2505.06708","citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:e01a604aa607b37edcce631f124801b3cd3b8b31bd0f537c8f91bb8d6db1ceaf","observation_id":"20b0d9d2-7ca8-4c11-9039-ec3cda20bd89","resolution":{"observed_at":"2026-08-14T04:17:41.994449Z","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":"2026-08-14T04:17:42.661434Z","title":null,"venue":null,"work_id":"ba8b2734-2eb0-4b32-bb2e-8cf418a8a991","year":2026},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:42.000094Z"},"links":{"citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:7210a920c8876628078504062ad4b78490e581464133d0102fb912c13c1f3e16","observation_id":"a09ffe68-b3f3-4419-9f09-8af01b7eadeb","resolution":{"observed_at":"2026-08-14T04:17:42.665944Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/bf03372160","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:08:50.044864Z","title":null,"venue":"Psychometrika","work_id":"c27076c8-548d-42a4-9fee-a9e4dd3aa93f","year":1969},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:42.004179Z"},"links":{"citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:7020bf32aabc6af3ed5e31cd8a5189bd0eb16632119c874e726dbd14422c6a58","observation_id":"e2ad4824-12ad-4448-88d7-24a8f690aeb7","resolution":{"observed_at":"2026-08-14T04:17:42.178726Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-14T06:18:02.877972+00:00","source":"paper_reference_links","state":"open"},"event_date":"2006-01-25","event_type":"correction","notice_doi":"10.1007/bf02290599","provenance":{"observed_at":"2026-07-11T02:56:49.754966+00:00","source":"crossref","source_record_id":"10.1007/bf02290599->10.1007/bf03372160:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:17:42.008062Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:42.008062Z"},"links":{"citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:b884a39b1c0fb5c8f0e98f3f5842caceaedcf7660110775c0d530b40eb084516","observation_id":"6f73dd57-3754-4e45-89af-e88b332459f7","resolution":{"observed_at":"2026-08-14T04:17:42.008062Z","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":"2026-08-14T04:17:42.012453Z","title":null,"venue":null,"work_id":null,"year":1984},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:42.012453Z"},"links":{"citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:a0e32bac0390cd9a7780eebe0cb09dd19aa1d9a197e6b7c23643132675cc2e4c","observation_id":"1a66b3e7-60fe-41fa-949f-1b4c1f5e3bd3","resolution":{"observed_at":"2026-08-14T04:17:42.012453Z","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":"10.1007/bf02295596","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:08:50.044864Z","title":null,"venue":"Psychometrika","work_id":"c5b1e09b-08d5-4c38-bdf9-78abebaf56e0","year":1986},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:42.016627Z"},"links":{"citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:00b7389c446edbbd66cd6a2dc2889cdeecc70da58e32dc1605b82239a3d93b3b","observation_id":"010fce11-438e-4098-b8d1-e1a02ce9e86a","resolution":{"observed_at":"2026-08-14T04:17:42.144686Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-14T04:17:42.020721Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:42.020721Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:075006628078fca3b3408554b5e46da116cf9109583194325f8d40f73f365a8b","observation_id":"cd7cdd0b-842e-42bb-b69e-76e51456532d","resolution":{"observed_at":"2026-08-14T04:17:42.020721Z","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":"2026-08-14T04:17:42.025379Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:42.025379Z"},"links":{"citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:6ca7c4dae9f2864752595e3803f02de9574907f4ecf17ac8f0e032039a612587","observation_id":"57debced-56af-4e4d-8c90-45fb7752644c","resolution":{"observed_at":"2026-08-14T04:17:42.025379Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.10400","last_updated":"2025-02-24T08:57:10Z","snapshot_observed_at":"2026-08-15T21:48:04.229100Z","submitted_at":"2024-12-05T16:10:42Z","title":"Reinforcement Learning Enhanced LLMs: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.10400","snapshot_observed_at":"2026-08-14T04:17:42.029413Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:42.029413Z"},"links":{"cited_paper":"/paper/2412.10400","citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:32ea0dd2f9d9c19038d095c04aca8f9a3763710efa86988494b520717f5353cb","observation_id":"678e5e3d-0219-4cf2-9fc8-835aeadd76e0","resolution":{"observed_at":"2026-08-14T04:17:42.029413Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07682","last_updated":"2022-10-26T05:06:24Z","snapshot_observed_at":"2026-08-17T00:14:01.413100Z","submitted_at":"2022-06-15T17:32:01Z","title":"Emergent Abilities of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07682","snapshot_observed_at":"2026-08-14T04:17:42.033862Z","title":"Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:42.033862Z"},"links":{"cited_paper":"/paper/2206.07682","citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:8abbd344c8a88132262ea27a9d59f289833065c3d581d671438e2ccc0d377470","observation_id":"e88be7f3-9f0b-4aab-97f2-8ff7d4bacb58","resolution":{"observed_at":"2026-08-14T04:17:42.033862Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.12148","last_updated":"2023-12-19T13:31:24Z","snapshot_observed_at":"2026-08-16T14:33:23.059607Z","submitted_at":"2023-12-19T13:31:24Z","title":"Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.12148","snapshot_observed_at":"2026-08-14T04:17:42.037733Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:42.037733Z"},"links":{"cited_paper":"/paper/2312.12148","citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:8e46f667f19da4d43e46f16250d2434d7b184baa3422ec3d19b3e634961f047d","observation_id":"25fd5329-6062-449e-a3c4-10b2c43dec38","resolution":{"observed_at":"2026-08-14T04:17:42.037733Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.06464","last_updated":"2025-03-06T06:57:34Z","snapshot_observed_at":"2026-08-14T21:08:22.323819Z","submitted_at":"2024-12-09T13:09:04Z","title":"Gated Delta Networks: Improving Mamba2 with Delta Rule","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.06464","snapshot_observed_at":"2026-08-14T04:17:42.043003Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:42.043003Z"},"links":{"cited_paper":"/paper/2412.06464","citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:d15dda8b1d0c8fbf75966e994fc2b54c97cf2b8de1c9945ed16171cf469c6509","observation_id":"eec624e0-b143-4e99-9d11-58dda397e20c","resolution":{"observed_at":"2026-08-14T04:17:42.043003Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.12284","last_updated":"2024-05-03T17:36:07Z","snapshot_observed_at":"2026-08-13T10:57:13.012119Z","submitted_at":"2023-09-21T17:45:42Z","title":"MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.12284","snapshot_observed_at":"2026-08-14T04:17:42.047382Z","title":"Kwok, Zhenguo Li, Adrian Weller, and Weiyang Liu","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-14T04:17:42.047382Z"},"links":{"cited_paper":"/paper/2309.12284","citing_paper":"/paper/2608.10154"},"observation_digest":"sha256:1e996b43aa281884e7d70958dbe0a3b605d82154e7f02025d0ab899f35500d04","observation_id":"1ea6d424-08ef-4b29-a683-3e00611c3768","resolution":{"observed_at":"2026-08-14T04:17:42.047382Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.10154","last_updated":"2026-08-10T19:15:39Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-17T02:05:17.769702Z","submitted_at":"2026-08-10T19:15:39Z","title":"Multimodal Item Parameter Estimation using Simulated Response Probabilitie"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":25,"verified_exact":5,"verified_fuzzy":0},"total_outbound_references":30},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2608.10154."}