{"as_of":"2026-08-12T21:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:52d9c686dede06e2e545487bbaf9b0a09b3115a47c3d89b540869a80c04b10d5","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T18:58:50.343255Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2412.07213/citation-record","integrity":"/paper/2412.07213/integrity","json":"/paper/2412.07213/citation-record.json","paper":"/paper/2412.07213"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T18:58:51.449303Z","title":"An anatomization of research paper recommender system: Overview, approaches and challenges","venue":null,"work_id":"06d9cc82-7985-4e74-8cdf-8397f5d02bb1","year":2023},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.052804Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:ccfa4df9ce7ee29264fdeffc31f207db312a34416c8d576359525e62442816d8","observation_id":"029ee79c-4ee2-4554-8b53-e2d7742c9175","resolution":{"observed_at":"2026-08-11T18:58:51.456873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:51.430915Z","title":"Approximate data collection in sensor networks using probabilistic models","venue":null,"work_id":"6305b406-2010-48a6-855a-32c345c23143","year":2006},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.063302Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:5cc54542035972fc7dacae053b5dd90c4b0a61a0fa1a1486352316fd31acfffc","observation_id":"675a7d65-dce2-4766-a9ed-5f3f5c79a965","resolution":{"observed_at":"2026-08-11T18:58:51.436798Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:51.411171Z","title":null,"venue":null,"work_id":"62fd30bc-e739-4cdb-9a82-a206ade0801b","year":2017},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.068521Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:0ea0699d8398d88d4bc79932b7e7de6fa6a113d4ad15f61ab51a18f53ac800df","observation_id":"0429bc8f-ee94-485d-a9dc-5ada42ca9ac0","resolution":{"observed_at":"2026-08-11T18:58:51.416065Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:51.385431Z","title":null,"venue":null,"work_id":"d27fbb41-f504-4968-af31-b5f5c130a397","year":2013},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.074725Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:14fc13bc0a8a319de8d57a6e8f8f4d645b636691318dab534a697d4eba4f490e","observation_id":"0124948b-bb1c-4cb2-b8e2-b10dade8f3bc","resolution":{"observed_at":"2026-08-11T18:58:51.393092Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:51.357769Z","title":"Scholarly paper recommendation via user’s recent research interests","venue":null,"work_id":"ea19e5ba-7ca6-4f87-954f-a183428053cb","year":2010},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.080409Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:9b0dce4e748f7ed55de278ae35d6fc770dd8a75accbe5c384be73f789288c0da","observation_id":"615d9594-530b-4c79-a43c-c7f1e5f9edac","resolution":{"observed_at":"2026-08-11T18:58:51.365170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:51.335341Z","title":"Research articles suggestion using topic modelling","venue":null,"work_id":"b32cc080-26d6-4a66-a387-a7c347377e9e","year":2017},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.087589Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:d2399236047b6677426b724c023f2ad443f26c478442b4f7e79525a0517c9260","observation_id":"c135f807-855e-4589-aff3-a6af57f02711","resolution":{"observed_at":"2026-08-11T18:58:51.341533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:51.315820Z","title":"Citation recommendation using semantic repre- sentation of cited papers’ relations and content.Expert systems with applications, 187:115826, 2022","venue":null,"work_id":"b11cb974-0104-434e-942b-c208486324ec","year":2022},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.095360Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:24c18492a4c70cb75946247bed264a0e09fe9855e9f320b4eaf5f9e21d757b2a","observation_id":"a03e51d5-ea81-4002-a85a-460ff088bd68","resolution":{"observed_at":"2026-08-11T18:58:51.322940Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:51.285888Z","title":"Cares: a ranking-orientedcadalrecommendersystem","venue":null,"work_id":"ec69f961-51f9-429f-bc55-1d335d0b7fa0","year":2009},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.100311Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:3b3e18f60a1f9bd858ed88003914be78b8fb642f5052df07674c945b879c7cfe","observation_id":"f86c45c7-b73b-4c7a-bab7-5ece3c8b786f","resolution":{"observed_at":"2026-08-11T18:58:51.292776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:51.268148Z","title":"Collaborative filtering-based recommender system: Approaches and research challenges","venue":null,"work_id":"64d6ff23-7793-42ce-a36d-29f108d4c819","year":2017},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.104718Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:b91d79346f31dfc229767ca97e4d9cb7b89211efc37f1ec71e4beba72f610067","observation_id":"132af7b8-de70-4919-a24b-171db9cc10d3","resolution":{"observed_at":"2026-08-11T18:58:51.276077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:51.244559Z","title":"A pagerank-based collabo- rative filtering recommendation approach in digital libraries","venue":null,"work_id":"b318c013-b799-41a4-b2d1-ba73ec159b81","year":2017},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.109331Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:4a6e7ac8cc68f3f02dd943791b5f4ff9e0d32e52e9336758308056712f974be0","observation_id":"db512fb8-fb4a-4f4c-bccd-38427f50cff1","resolution":{"observed_at":"2026-08-11T18:58:51.253829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:51.224162Z","title":"Trust-based recommendations for scien- tific papers based on the researcher’s current interest","venue":null,"work_id":"c7bcfd91-c501-4b8c-a79d-c49fc570a8ca","year":2013},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.114613Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:2cda123152ebb081b55e695223fc7f8cf8034d5d7e29db220c61716d10f8d85d","observation_id":"953359f8-8e5b-4a5f-839d-b45600762f65","resolution":{"observed_at":"2026-08-11T18:58:51.230393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:51.205948Z","title":"Learning multiple graphs for document recommendations","venue":null,"work_id":"6ed33400-fe97-4381-b425-9a2cfdfedb15","year":2008},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.118869Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:797d26bb96982b624d0b1600cb7cd8b150dba4ce2362c797848c245ffbe7fcc7","observation_id":"ec03f515-6c61-460c-b6b4-c434b707f5ac","resolution":{"observed_at":"2026-08-11T18:58:51.212937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:51.183759Z","title":"Publication venue recommendation based on paper’s title and co-authors network","venue":null,"work_id":"9478adc1-f773-4288-930f-6db809ec52a2","year":2018},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.126073Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:6960503969c75ffd259388e1775f8c44d006c081a39d67850b31bb2053e15739","observation_id":"144476ba-f247-47d4-abf5-f1dc10c31973","resolution":{"observed_at":"2026-08-11T18:58:51.191441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:51.167723Z","title":"Personalized scientific paper recommendation based on heterogeneous graph representation.IEEE Access, 7:79887–79894, 2019","venue":null,"work_id":"16aa9506-c49e-412e-8e39-98024a77fb26","year":2019},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.132056Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:dc72a23d77d5e0c87c70077f703d5ae348ba8d27054bde655e1feb57461efb98","observation_id":"183ffa59-0dfd-4164-bfe8-869f059e6fa0","resolution":{"observed_at":"2026-08-11T18:58:51.172906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.05542","last_updated":"2021-08-28T05:59:16Z","snapshot_observed_at":"2026-08-10T20:10:16.431097Z","submitted_at":"2021-08-12T05:32:18Z","title":"AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.05542","snapshot_observed_at":"2026-08-11T18:58:50.137081Z","title":"Ammus: A survey of transformer-based pretrained models in natural language processing","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.137081Z"},"links":{"cited_paper":"/paper/2108.05542","citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:675b0a023d2553f454d3a31af4566888a660b671b5f768eb6308002df5471567","observation_id":"4da9cb22-5252-4eba-9b3f-5128c09f1851","resolution":{"observed_at":"2026-08-11T18:58:50.137081Z","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":"2026-08-11T18:58:51.139604Z","title":"Bian et al","venue":null,"work_id":"b6263bcd-4a05-41db-80d3-0e1d07d1b0b8","year":1901},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.145514Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:d17c7d3e24e150104467159fb10099288b926af0f100ddd4cbf563b2d414c64c","observation_id":"d8e8eb40-12ab-4ced-be4e-17018dcca870","resolution":{"observed_at":"2026-08-11T18:58:51.152309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:50.152316Z","title":"Palm: Scaling language modeling with pathways.Journal of Machine Learning Research, 24(240):1–113, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.152316Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:fcdfaf2841f493a3fa313b3ab85d53e7f2974dfc53211fc40e5ff0738b392af8","observation_id":"964ee78a-ac1a-45fd-bb46-b214c06eb761","resolution":{"observed_at":"2026-08-11T18:58:50.152316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.10403","last_updated":"2023-09-13T20:35:45Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-17T17:46:53Z","title":"PaLM 2 Technical Report","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.10403","snapshot_observed_at":"2026-08-11T18:58:50.157261Z","title":"Palm 2 technical report.arXiv preprint arXiv:2305.10403, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.157261Z"},"links":{"cited_paper":"/paper/2305.10403","citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:2e2ef546f4945fea23b11a4d0e939cb5f00d00185c6cfaec2b6f912b4e9e82ce","observation_id":"b7cee057-aebe-43a0-a269-b3306eac0431","resolution":{"observed_at":"2026-08-11T18:58:50.157261Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.08239","last_updated":"2022-02-10T16:30:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-01-20T15:44:37Z","title":"LaMDA: Language Models for Dialog Applications","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.08239","snapshot_observed_at":"2026-08-11T18:58:50.164994Z","title":"Lamda: Language models for dialog applications.arXiv preprint arXiv:2201.08239, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.164994Z"},"links":{"cited_paper":"/paper/2201.08239","citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:846a4f4e6058b805e3797a391da9b5f9856e0a7f110ad5cd66030f0c2d8869c8","observation_id":"ca87773b-15a8-42f6-bab3-08667bc1bdc6","resolution":{"observed_at":"2026-08-11T18:58:50.164994Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.11990","last_updated":"2022-02-04T18:02:23Z","snapshot_observed_at":"2026-08-09T17:07:26.804289Z","submitted_at":"2022-01-28T08:59:57Z","title":"Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.11990","snapshot_observed_at":"2026-08-11T18:58:50.170136Z","title":"Using deepspeed and megatron to train megatron-turing nlg 530b, a large-scale generative language model.arXiv preprint arXiv:2201.11990, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.170136Z"},"links":{"cited_paper":"/paper/2201.11990","citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:00dc64c3aa2343a78590d73abf9baf0d27ebc2958a24ed86ddf06ebed696f5d0","observation_id":"2b00a4aa-d746-47fa-b62c-2e58a04504a0","resolution":{"observed_at":"2026-08-11T18:58:50.170136Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-11T18:58:50.176450Z","title":"Llama: Open and efficient foundation language models.arXiv preprint arXiv:2302.13971, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.176450Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:30a21eea313b63f080abff7e4eab8669e82eabb8304c24a19d204a9d48d5e207","observation_id":"7b7226ab-7083-44b3-8d72-f092c9aac955","resolution":{"observed_at":"2026-08-11T18:58:50.176450Z","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":"2026-08-11T18:58:51.107559Z","title":"Gpt-4 technical report.arXiv, pages 2303–08774, 2023","venue":null,"work_id":"69fb1eb7-a470-473f-8e7e-0c38baff8927","year":2023},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.182326Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:0075b30a556a13926353c1f02de7f84dd13e79212ca0c468dee5292953b14e92","observation_id":"1a0d1d98-675e-4c9c-9d88-37b6506ac4d0","resolution":{"observed_at":"2026-08-11T18:58:51.113682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17564","last_updated":"2023-12-21T06:21:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-30T17:30:36Z","title":"BloombergGPT: A Large Language Model for Finance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17564","snapshot_observed_at":"2026-08-11T18:58:50.187080Z","title":"Bloomberggpt: A large language model for finance","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.187080Z"},"links":{"cited_paper":"/paper/2303.17564","citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:5cd376a9e0e446b56cb10cb1c89b13d43b6f0d809e2264d02a235d6f64d97a93","observation_id":"aafafefd-47b3-479b-a978-6bd7537b79b3","resolution":{"observed_at":"2026-08-11T18:58:50.187080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.02309","last_updated":"2023-07-11T21:11:23Z","snapshot_observed_at":"2026-08-10T18:07:58.825697Z","submitted_at":"2023-05-03T17:55:25Z","title":"CodeGen2: Lessons for Training LLMs on Programming and Natural Languages","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.02309","snapshot_observed_at":"2026-08-11T18:58:50.195592Z","title":"Codegen2: Lessons for training llms on programming and natural languages.arXiv preprint arXiv:2305.02309, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.195592Z"},"links":{"cited_paper":"/paper/2305.02309","citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:2603b08950f6059389dda30ed863b93fa9be5cd3e33da39ec41903c7589a1f68","observation_id":"f035e2a7-6554-4e0f-bfb7-c710ebc7c4f7","resolution":{"observed_at":"2026-08-11T18:58:50.195592Z","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":"2026-08-11T18:58:50.200243Z","title":"Large language models encode clinical knowledge","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.200243Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:7909410eb4965b10ab695c92f28260afcb52ea73e463b8b636d7cd76cec4814a","observation_id":"26af0e74-886e-4313-ba61-2442fa603e7f","resolution":{"observed_at":"2026-08-11T18:58:50.200243Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14201","last_updated":"2023-05-23T16:20:30Z","snapshot_observed_at":"2026-07-06T15:31:36.425535Z","submitted_at":"2023-05-23T16:20:30Z","title":"Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14201","snapshot_observed_at":"2026-08-11T18:58:50.204652Z","title":"Goat: Fine-tuned llama outperforms gpt-4 on arithmetic tasks.arXiv preprint arXiv:2305.14201, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.204652Z"},"links":{"cited_paper":"/paper/2305.14201","citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:63b9cba9fc5e932f8a5f01b81e0642ad4f89612d55c1deb7acb25d629bcede72","observation_id":"b8ed91f8-9bfd-409c-8a0f-913534b80d36","resolution":{"observed_at":"2026-08-11T18:58:50.204652Z","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":"2026-08-11T18:58:51.075535Z","title":"Visconde: Multi-document qa with gpt-3 and neural reranking","venue":null,"work_id":"ea9b6b24-4338-496e-804f-3d0acffaeb29","year":2023},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.212499Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:fab16dab0a4b694693ee50ea2630368d4074dc8cfdc2202d49cc2edb5c4bd358","observation_id":"4d7a5b9d-4441-412e-b4fe-b1d09a686f65","resolution":{"observed_at":"2026-08-11T18:58:51.082285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.10420","last_updated":"2023-12-23T12:53:02Z","snapshot_observed_at":"2026-08-10T21:00:36.639546Z","submitted_at":"2023-03-18T14:02:04Z","title":"A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.10420","snapshot_observed_at":"2026-08-11T18:58:50.218787Z","title":"A comprehensive capability analysis of gpt-3 and gpt-3.5 series models.arXiv preprint arXiv:2303.10420, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.218787Z"},"links":{"cited_paper":"/paper/2303.10420","citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:314db40ca390d818b2c6e377ed3c8ab3e8b5de1d0434af86aa10d146f516572a","observation_id":"b8bee9ea-3cf9-42ab-9102-46a2e2dd46ae","resolution":{"observed_at":"2026-08-11T18:58:50.218787Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.17284","last_updated":"2022-10-31T13:08:55Z","snapshot_observed_at":"2026-07-06T14:12:29.636948Z","submitted_at":"2022-10-31T13:08:55Z","title":"Towards Zero-Shot and Few-Shot Table Question Answering using GPT-3","version":1},"cited_work":{"arxiv_id":"2210.17284","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.17284","snapshot_observed_at":"2026-08-11T18:58:50.464419Z","title":"Towards Zero-Shot and Few-Shot Table Question Answering using GPT-3","venue":"cs.LG","work_id":"e397e1d4-dbe6-4380-8828-0aef5a055ae9","year":2022},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.223587Z"},"links":{"cited_paper":"/paper/2210.17284","citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:95dafa9fe9c268181b0b260f8e24b278e39c9f5077846cfdf8d6aaab131ee4c0","observation_id":"baac534c-13e5-41a7-9733-4b777464a438","resolution":{"observed_at":"2026-08-11T18:58:50.472408Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:51.056911Z","title":"Discovering user preferences by using time entries in click-through data to improve search engine results","venue":null,"work_id":"08bcde01-7906-4af6-bd55-aedff811faac","year":2005},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.229035Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:f0d2a2f4ef64437382d2b7c1678c4f7d3229316fe294d35466cdcf1d7a47bff2","observation_id":"bf302968-15a5-4646-8e1e-ee9d3f5456a1","resolution":{"observed_at":"2026-08-11T18:58:51.062034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.10198","last_updated":"2023-03-02T14:33:12Z","snapshot_observed_at":"2026-08-11T03:13:41.586299Z","submitted_at":"2023-02-19T12:29:33Z","title":"Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.10198","snapshot_observed_at":"2026-08-11T18:58:50.235167Z","title":"Can chat- gpt understand too? a comparative study on chatgpt and fine-tuned bert.arXiv preprint arXiv:2302.10198, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.235167Z"},"links":{"cited_paper":"/paper/2302.10198","citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:7290ed858ce6214e7e6bb726722d2553742e2a20ed73f026335f21113878961b","observation_id":"c2e14fc6-5275-45b1-ada5-4a1c0291a1b9","resolution":{"observed_at":"2026-08-11T18:58:50.235167Z","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":"2026-08-11T18:58:51.038204Z","title":"Context preserving dynamic word cloud visualization","venue":null,"work_id":"378efec3-7bfc-4f13-a894-9eb827eea4f7","year":2010},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.240392Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:c0c7e2c1048adac1638f4173dc34e6812dd8084a3ca896536a11ae56d783fa36","observation_id":"8c65ba18-7a0d-4539-bf35-cec3928572ea","resolution":{"observed_at":"2026-08-11T18:58:51.044761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1809.02412","last_updated":"2018-09-07T11:35:40Z","snapshot_observed_at":"2026-07-06T06:59:47.280380Z","submitted_at":"2018-09-07T11:35:40Z","title":"Data Requirements for Evaluation of Personalization of Information Retrieval - A Position Paper","version":1},"cited_work":{"arxiv_id":"1809.02412","doi":null,"metadata_source":"pith","pith_arxiv_id":"1809.02412","snapshot_observed_at":"2026-08-11T18:58:50.413316Z","title":"Data Requirements for Evaluation of Personalization of Information Retrieval - A Position Paper","venue":"cs.IR","work_id":"52299ba0-e6d8-4f85-9f0c-1e4eaa318df7","year":2018},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.245481Z"},"links":{"cited_paper":"/paper/1809.02412","citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:d4ee93df22f095d552bbb89a9c0779fe6533c8cc882f9395c173d460180aff4e","observation_id":"240f6cd3-b14f-489e-aead-869134e7a380","resolution":{"observed_at":"2026-08-11T18:58:50.421151Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:51.015419Z","title":"Database management as a service: Challenges and opportunities","venue":null,"work_id":"d25ed1fc-4c7f-44c5-97e0-bc1aaee960cb","year":2009},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.253081Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:834fe61d20c472a33c7bb0fda69e504d312bb37279f324079f609a4565798496","observation_id":"17a12cc9-d27b-477a-b6d8-d29d81990c42","resolution":{"observed_at":"2026-08-11T18:58:51.021821Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:50.257468Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.257468Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:5ae107227781e4e06b49c10eb98b5c60bef0b16be41043418bd7c56ab03cab25","observation_id":"8a52e243-6e19-43aa-b630-8a9d35d5e027","resolution":{"observed_at":"2026-08-11T18:58:50.257468Z","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":"2026-08-11T18:58:50.968920Z","title":"McKenzie, Rodney Harries, and Timothy Bell","venue":null,"work_id":"32359064-8a60-49e0-ba5d-9fb874e16a26","year":1990},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.263930Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:b8c4fab73fa07c892eabb74bb43035bcba9ce720471682cdeba147a128c1fa5a","observation_id":"9a96e87e-4cab-4725-ac6f-fa8c569c7061","resolution":{"observed_at":"2026-08-11T18:58:50.974747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:50.938703Z","title":"Decision tree methods: applications for classification and prediction","venue":null,"work_id":"854e4d0e-b0f4-42b7-b5ad-f038a509cd26","year":2015},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.269102Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:81ea24281d2379c4b3fd1f3d166b09b4b684a7c1ae34600e941490c662fb04af","observation_id":"beedceff-992a-4642-b006-48581263754e","resolution":{"observed_at":"2026-08-11T18:58:50.950257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.08295","last_updated":"2024-04-16T12:52:47Z","snapshot_observed_at":"2026-08-03T03:29:01.959523Z","submitted_at":"2024-03-13T06:59:16Z","title":"Gemma: Open Models Based on Gemini Research and Technology","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.08295","snapshot_observed_at":"2026-08-11T18:58:50.273864Z","title":"Gemma: Open models based on gemini research and technology.arXiv preprint arXiv:2403.08295, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.273864Z"},"links":{"cited_paper":"/paper/2403.08295","citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:dd7f2de3c126f8c02bcf35290be9f183ebf3829b63e4238b330138aa5d04d748","observation_id":"7b936a7d-6f33-41db-a562-3ed3e0057cda","resolution":{"observed_at":"2026-08-11T18:58:50.273864Z","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":"2026-08-11T18:58:50.917858Z","title":null,"venue":null,"work_id":"7f74b495-ec89-4960-a0d4-3d4f29f8af04","year":2023},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.283127Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:6569e784b195a9e4275881221e2138b4bdaf53395f3e65d940610949537968fb","observation_id":"2ee2c03f-616d-4b96-ad40-5fb07dd6eae7","resolution":{"observed_at":"2026-08-11T18:58:50.923750Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:50.888563Z","title":"Train- ing language models to follow instructions with human feedback","venue":null,"work_id":"78facc4c-da0c-4c0a-8da6-9ba3c2cd639b","year":2022},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.288439Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:36bcf4826961b1f0a52d38e0bf7fe2ab35bb24d70d9db2a022ff752ecbde4242","observation_id":"32485fe0-d8bd-4e72-97cb-f441415c8c95","resolution":{"observed_at":"2026-08-11T18:58:50.902254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:50.862828Z","title":"Smmry api","venue":null,"work_id":"cf1d698a-2296-418b-842c-85ece0e12cbf","year":2024},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.293958Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:102ce4db419179c39fd19b59f9135146492d63a73603b39589c9c7575a84b987","observation_id":"0befb1cb-c92c-4207-8766-51788c334b19","resolution":{"observed_at":"2026-08-11T18:58:50.870049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:50.834592Z","title":"User-based collaborative-filtering recom- mendation algorithms on hadoop","venue":null,"work_id":"4c06821b-8c05-4e0e-804b-d2ff58781e3b","year":2010},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.300310Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:7b806cf4a5935bfaeed54f50d0f960ead0218d034679fbd061bbe3010e4f72c3","observation_id":"3158d8ab-5f4b-4e95-918a-bd5531c937bd","resolution":{"observed_at":"2026-08-11T18:58:50.843521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:50.813375Z","title":"Item-based top-n recommendation algo- rithms","venue":null,"work_id":"37339081-4167-4e1f-a5ce-0734d631190f","year":2004},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.307945Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:136c6c2ca4bc5d24305da5ed9730be632a1e75e85106c423d11ca839d395baf9","observation_id":"d40ec03b-dd8f-4a37-b7eb-ab5c1d7197d4","resolution":{"observed_at":"2026-08-11T18:58:50.818782Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:50.793004Z","title":"Item popularity and recommendation accuracy","venue":null,"work_id":"997a9379-ebc4-4f96-9828-81044eb4be1d","year":2011},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.314786Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:d05328b17a708e9ac485c85f95ce0d10170a3e474d6b8eb38a6b03acfcc43e4b","observation_id":"871fa26f-23f2-4afc-84b3-859090d26bcf","resolution":{"observed_at":"2026-08-11T18:58:50.800755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:50.772974Z","title":"A hybrid recommendation approach for a tourism system.Expert systems with applications, 40(9):3532–3550, 2013","venue":null,"work_id":"fc278198-5a99-48f6-98d5-e7df9f70ced0","year":2013},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.320044Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:3e7be4fdb8574860126d8725702c6c572c1c1ad74824a7d021051d85490e8c91","observation_id":"4c3433a6-f200-45bf-8356-49efab3a2a2e","resolution":{"observed_at":"2026-08-11T18:58:50.778639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:50.752953Z","title":"A new academic word list.TESOL quarterly, 34(2):213–238, 2000","venue":null,"work_id":"d6823248-a6fb-4524-8cce-c14262d5d48e","year":2000},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.327626Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:f636baa79f65a5fa41b6008007fb9a6cddb1dce0bc13d46c0d1231ec76bbd3b3","observation_id":"ce73d491-72e5-4408-918b-1726c9e5423e","resolution":{"observed_at":"2026-08-11T18:58:50.759038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:50.734862Z","title":"Framework for testing multi-threaded java programs.Concurrency and Com- putation: Practice and Experience, 15(3-5):485–499, 2003","venue":null,"work_id":"7334af49-d8cd-46a3-b783-d959f1db74f3","year":2003},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.332806Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:0cb4db671ecba5109db227f72ce43918ab55b9fc5bcafbe1c71d820d77500be6","observation_id":"71ec75ab-e98d-4dff-b638-1bc80105d318","resolution":{"observed_at":"2026-08-11T18:58:50.740876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:50.717453Z","title":null,"venue":null,"work_id":"dbf5f9d6-54a0-4587-b8c3-c4818b5ac454","year":2020},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.338148Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:a23a2525d433903663b6151d7cce0226363a47db6dcf74fcf2a4d115985fd664","observation_id":"28f02e34-af25-4140-8986-abb94d9a6df5","resolution":{"observed_at":"2026-08-11T18:58:50.722347Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-11T18:58:50.699878Z","title":"Making pointer-based data structures cache conscious.Computer, 33(12):67–74, 2000","venue":null,"work_id":"4d919365-9423-4fce-aaaf-657093fc74a1","year":2000},"citing_paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T18:58:50.343255Z"},"links":{"citing_paper":"/paper/2412.07213"},"observation_digest":"sha256:e7e40a74e5addeb152dcfe5cc0bce17830d53184c55570610b199f4beeab0abb","observation_id":"5554e9c8-927a-4973-9efb-47fc714daea4","resolution":{"observed_at":"2026-08-11T18:58:50.707245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.07213","last_updated":"2024-12-10T06:09:49Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-12T06:13:53.675680Z","submitted_at":"2024-12-10T06:09:49Z","title":"IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":2,"verified_fuzzy":29},"total_outbound_references":49},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2412.07213."}