{"as_of":"2026-08-10T00:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dffdf2c810bb06dbd3c771a00800750877612d3f11378479f1e0244461ec3d2b","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":"2026-08-04T03:03:24.331570Z","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":"2026-08-09T06:31:02.800959+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/2608.00006/citation-record","integrity":"/paper/2608.00006/integrity","json":"/paper/2608.00006/citation-record.json","paper":"/paper/2608.00006"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T03:03:21.999584Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:21.999584Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:fe1d4c354eb6899b6d17bf9f348e2fc285dc5bb437b9427f424c4e038094168c","observation_id":"49ef7410-aa18-4c4c-9826-fcb022911a20","resolution":{"observed_at":"2026-08-04T03:03:21.999584Z","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":"2026-08-04T03:03:22.154506Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:22.154506Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:05d51267580d183bfc14fb159a4c2747cfcc2f31f418fed7b726d7875f166823","observation_id":"c27fc055-cc13-4eec-8afc-881ae06a89b5","resolution":{"observed_at":"2026-08-04T03:03:22.154506Z","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":"2026-08-04T03:03:22.291819Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:22.291819Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:d242b883fedb69889d69180c07fb770d534026ac713f95b1f75a6b83eaf49c0c","observation_id":"3d40f432-22af-4138-a415-19e47d8b41ba","resolution":{"observed_at":"2026-08-04T03:03:22.291819Z","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":"2026-08-04T03:03:22.452402Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:22.452402Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:0386b96eb6419824798dbe8e7da5ca1a16296aff208b0b2d44572cebf41ef47d","observation_id":"5f2b2957-6065-456a-9836-cf0eead0253b","resolution":{"observed_at":"2026-08-04T03:03:22.452402Z","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":"2026-08-04T03:03:22.594497Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:22.594497Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:29b8821515a133baf49fa0fde1d0cc7927156792ec78aa7f44fda6cc8ac592aa","observation_id":"4d403627-3ccc-4e03-95a6-dfa345c20454","resolution":{"observed_at":"2026-08-04T03:03:22.594497Z","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":"2026-08-04T03:03:22.735756Z","title":"Alansari, H","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:22.735756Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:8ee5935e0f5e43752f6f52670d2d8c9662fde8b787619b265964b28e56ef061c","observation_id":"378770cb-aaa8-4bc0-a676-8db9b9ea9b69","resolution":{"observed_at":"2026-08-04T03:03:22.735756Z","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":"2026-08-04T03:03:22.841618Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:22.841618Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:8b4d4c972c121262d03ca2b96f7d361d6f3ec13c553d88c49324022b07556441","observation_id":"bd5a84fc-751d-47fd-a46e-414d9547a0fd","resolution":{"observed_at":"2026-08-04T03:03:22.841618Z","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":"2026-08-04T03:03:23.083804Z","title":"Lavrinovics, R","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:23.083804Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:e653d0f795c17bb5a4dc0e611f95c465ca9f2ced35c37a1e03753ed628d614ae","observation_id":"de5a0156-fef4-468e-8675-6342e6f1d52f","resolution":{"observed_at":"2026-08-04T03:03:23.083804Z","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":"2026-08-04T03:03:23.241809Z","title":"Kasneci, K","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:23.241809Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:e92a56e8005f20ac1856fac9247944d09635daa40a57efec134ac414541d6a21","observation_id":"5e8aa305-e1f8-4333-a27e-a34e674169e6","resolution":{"observed_at":"2026-08-04T03:03:23.241809Z","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":"2026-08-04T03:03:23.330747Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:23.330747Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:be71e105b01caf57b6dac528de248ce60ffa94f33496077ec3a45607dd822712","observation_id":"825c36a7-532b-40cc-a373-e2d248a0d1bb","resolution":{"observed_at":"2026-08-04T03:03:23.330747Z","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":"2026-08-04T03:03:23.411183Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:23.411183Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:c507be99b0051283b0ec2de4185ac7fd53fad665dc36643892ab92c75d672a64","observation_id":"a3cefdce-96bb-4066-9812-15ad1d675209","resolution":{"observed_at":"2026-08-04T03:03:23.411183Z","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":"2026-08-04T03:03:23.436968Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:23.436968Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:1a80bfc6307fddab5ace41b41b93e13bb47807b298950460c4b936e652fce353","observation_id":"062227af-e6fb-457a-bb1d-2f712e8a3be4","resolution":{"observed_at":"2026-08-04T03:03:23.436968Z","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":"2026-08-04T03:03:23.478928Z","title":"Computing 28 (2025) 27","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:23.478928Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:3513d4af4ea85afcf06f4166c53dea105b5baca6b6ddd29fa318e10f996a930f","observation_id":"2c2fb5ed-c4cc-486f-8bfe-a553a7c6cd34","resolution":{"observed_at":"2026-08-04T03:03:23.478928Z","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":"2026-08-04T03:03:23.506101Z","title":"Farquhar, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:23.506101Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:0d4548e7244b0ee7a2f0161c17370a5836e50487b7dead6fa36a76763a2d8e9d","observation_id":"e3d577cb-19a7-4eef-a42b-c9186fabba47","resolution":{"observed_at":"2026-08-04T03:03:23.506101Z","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":"2026-08-04T03:03:23.554213Z","title":"Islam and Sarker et al.:Preprint submitted to ElsevierPage 14 of 15 VectorRAG and GraphRAG based Modeling","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:23.554213Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:f2cca3684ea3dd93c5ef7783c492d5b12d1264246a439c3cbc37bdfb8212dabb","observation_id":"5a032399-7d02-4729-8825-093769ff79ab","resolution":{"observed_at":"2026-08-04T03:03:23.554213Z","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":"2026-08-04T03:03:23.565290Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:23.565290Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:889eede91a53e3ba950b2d8f30050583b19099760b203867a6112c1296701b17","observation_id":"37bc4fb8-4c7c-40d3-8aa0-eeeed28a7c8f","resolution":{"observed_at":"2026-08-04T03:03:23.565290Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.20013","last_updated":"2025-04-29T13:41:59Z","snapshot_observed_at":"2026-08-07T15:58:30.664422Z","submitted_at":"2025-04-28T17:32:38Z","title":"LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation","version":2},"cited_work":{"arxiv_id":"2504.20013","doi":"10.48550/arxiv.2504.20013","metadata_source":"pith","pith_arxiv_id":"2504.20013","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation","venue":"cs.CL","work_id":"e1de2d54-228c-447f-a47b-2aebaced84c1","year":2025},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:23.618781Z"},"links":{"cited_paper":"/paper/2504.20013","citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:a9346df54f715150063396ecd440abf8afadef9d752342964454635cff943e33","observation_id":"4f412c35-d823-4d14-bc4c-61f755dcca25","resolution":{"observed_at":"2026-08-04T03:08:31.214322Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-04T03:03:23.666388Z","title":"Försch, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:23.666388Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:d56d6e7e9d672f9c3eb9a7c26a187f1d0007a473e23a837f326f4f5979e4450e","observation_id":"66491e9a-7edf-4cf3-a35b-3bba7f0a56a9","resolution":{"observed_at":"2026-08-04T03:03:23.666388Z","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":"2026-08-04T03:03:23.707280Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:23.707280Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:51eae35e4df9e4edca2a9d94165e48c4b0a411ef97e7a9b5adcfa23f798211b5","observation_id":"04fe47f4-2ec9-4e84-835a-c1dd8ea23cb8","resolution":{"observed_at":"2026-08-04T03:03:23.707280Z","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":"2026-08-04T03:03:23.740704Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:23.740704Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:fade31b2cd2c8d765527dc0c289a62bfa5026d0a7cc52dfcb739198f74c1926c","observation_id":"d9a3bcb1-0748-44fa-a0f6-e222d096eb35","resolution":{"observed_at":"2026-08-04T03:03:23.740704Z","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":"2026-08-04T03:03:23.788820Z","title":"Bratanic, Graph algorithms for data science: With examples in Neo4j, Simon and Schuster, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:23.788820Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:642e8cadf1f9d4a66174fcb914ce52976e3b76f44028274ad650982ff4a8fdd3","observation_id":"e21039a3-7c84-4521-b4d6-dac827fae9e9","resolution":{"observed_at":"2026-08-04T03:03:23.788820Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06825","last_updated":"2023-10-10T17:54:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-10T17:54:58Z","title":"Mistral 7B","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06825","snapshot_observed_at":"2026-08-04T03:03:23.836516Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:23.836516Z"},"links":{"cited_paper":"/paper/2310.06825","citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:5cc30ad8aa7b0ceac96a8951589bb34874ba455e2c1dc9b256175f2936365133","observation_id":"cc50c3c8-0179-46ce-aa16-9cfb6510b336","resolution":{"observed_at":"2026-08-04T03:03:23.836516Z","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":"2026-08-04T03:03:23.873339Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:23.873339Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:570c7b3c77ca94b13a49d6570604214cbd77a7adf53c38c2f6ed1dfe6ce5763e","observation_id":"31dc67cc-9c18-4793-85bb-c2f903df8fa0","resolution":{"observed_at":"2026-08-04T03:03:23.873339Z","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":"2026-08-04T03:03:23.919328Z","title":"Team, Qwen3 technical report, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:23.919328Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:d7ecda1b21ee2a10924bf3e9996319a03ca570b9620c9674e32c5c7366644efe","observation_id":"2c84d3ec-e88c-40b4-a4d8-fee6c6cd40c8","resolution":{"observed_at":"2026-08-04T03:03:23.919328Z","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":"2026-08-04T03:03:23.981200Z","title":"Mudzakir, J","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:23.981200Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:bf52ba6b4d597a24306cbb40056d104f1703dd1a4216c6a877101a0ec8d8e37c","observation_id":"3ec6872e-0b0b-4ba9-94c8-ba9d5454259a","resolution":{"observed_at":"2026-08-04T03:03:23.981200Z","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":"2026-08-04T03:03:24.092493Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:24.092493Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:35e3869999a4c4c288f7398f0b8f321086afa1c27006f4e8fd927c213feae3a0","observation_id":"aa7e8243-6f5a-421c-b9bd-adb36b1cfada","resolution":{"observed_at":"2026-08-04T03:03:24.092493Z","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":"2026-08-04T03:03:24.162414Z","title":"Al Faraby, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:24.162414Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:2844f541df4e72a76a96234468805e9a5ccc601e4ce20fc4c0bd06546d6ed1d4","observation_id":"ca4272b5-3326-4fba-a1fb-a047063f7327","resolution":{"observed_at":"2026-08-04T03:03:24.162414Z","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":"2026-08-04T03:03:24.217583Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:24.217583Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:4b8e758282051f886ddc2678861af0a0474598c19d1af29d18ac31f67ea2a1bd","observation_id":"ee17b3c7-897f-4f07-925b-86b3f3765c88","resolution":{"observed_at":"2026-08-04T03:03:24.217583Z","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":"2026-08-04T03:03:24.260157Z","title":"Sequeda, D","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:24.260157Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:6629e48c54d5267d6745a89bfe820c41b1a33c017230e5b915b64bf37ea0409c","observation_id":"13553ee4-18b4-4b35-9b6f-397c295dc096","resolution":{"observed_at":"2026-08-04T03:03:24.260157Z","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":"2026-08-04T03:03:24.331570Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T03:03:24.331570Z"},"links":{"citing_paper":"/paper/2608.00006"},"observation_digest":"sha256:b376ffd8289be0bba62fe5b3dccebd21bf30cddd99b05154c1c99a8ef2215f0c","observation_id":"005abffb-181b-473e-8613-91be0d7d95dc","resolution":{"observed_at":"2026-08-04T03:03:24.331570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.00006","last_updated":"2026-06-08T15:34:04Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-06T23:11:30.342589Z","submitted_at":"2026-06-08T15:34:04Z","title":"Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":29,"verified_exact":1,"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2608.00006."}