{"as_of":"2026-08-18T19:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7bbe84cdbf579791ee445f45612e1ee063dc977f9cc01dee9c27fa92681e8d1b","coverage":[{"denominator":43,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":43,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-08T22:34:20.888800Z","state":"measured"},{"denominator":43,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":43,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2607.05855/citation-record","integrity":"/paper/2607.05855/integrity","json":"/paper/2607.05855/citation-record.json","paper":"/paper/2607.05855"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T22:35:40.810096Z","title":"Proceedings of the International AAAI Conference on Web and Social Media13, 15–25 (2019)","venue":null,"work_id":"4f819709-d067-451a-b5ff-243057d72ffa","year":2019},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:945fa9ce58212fade361dc6f5290d48f712017b59806d46f6b63cc659963933d","observation_id":"ac0d4877-c6b7-4e5d-ac61-3fac90b3ccc1","resolution":{"observed_at":"2026-07-08T22:35:40.811219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.787604Z","title":"Science Advances6(30) (2020)","venue":null,"work_id":"36a67147-d5cf-4174-809a-7cd0a66c1a89","year":2020},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:7bec75d71e3689f8d8db9f6710692e76acaf648982c3b46f86b2cfe89d6f32c3","observation_id":"9beb2c8b-67a2-4b3d-a8c8-7334b47bbf05","resolution":{"observed_at":"2026-07-08T22:35:40.788726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.806121Z","title":"In: ACL 2024","venue":null,"work_id":"96a935dc-edd4-41e8-8504-13aea900e9da","year":2024},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:2684f0478babd2b537fd30abb6f6c59a03d530f82782682dc92bc9e9cb386853","observation_id":"00179aa6-6299-4d2a-b18a-1c1a628d9b64","resolution":{"observed_at":"2026-07-08T22:35:40.807160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.818285Z","title":"(eds.): An Introduction to the Theory of Point Processes Volume I: Elementary Theory and Methods","venue":null,"work_id":"e018f5d3-41f0-4c26-81c0-4759c6cc7497","year":2003},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:28407c0c6fcd4abd26b595d50fac349bbec54bfa1083392d956b7c35afe6f1c0","observation_id":"5b5b907a-fd3a-4968-bd15-6a2be7a447a5","resolution":{"observed_at":"2026-07-08T22:35:40.819563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.790940Z","title":"In: ICML 2006","venue":null,"work_id":"ddf0cf3a-510b-422c-9a47-c303fbff67bb","year":2006},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:f6bfaf0b23f83d191f8dc4233c06af1515c5557d83a16cd82223867e60236e61","observation_id":"a0ea0e67-87fb-4d9c-9157-fa98baf1bc08","resolution":{"observed_at":"2026-07-08T22:35:40.791964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.813396Z","title":"EPJ Data Science 12(1), 46 (2023)","venue":null,"work_id":"44edfe6c-d0f8-4312-92d0-d361c38c94d9","year":2023},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:1b92627b178a38fcf55305b086d52034a125604efa768c7db86d1fb06a8e5e7e","observation_id":"e0883a1d-53bf-4dd3-9da2-dbf2c746591c","resolution":{"observed_at":"2026-07-08T22:35:40.814372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.784389Z","title":"World Economic Forum, 19th ed edn","venue":null,"work_id":"5b31042a-3a40-4f9e-88d4-23e8faaf243e","year":2024},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:f6e1e0d138f9ddfb816bd5c3b34116d3ce2f958e0b3757594aefd69ea237e913","observation_id":"e22c5544-1c98-4009-a865-0097e655b950","resolution":{"observed_at":"2026-07-08T22:35:40.785463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.789277Z","title":"In: WWW 2023 Companion","venue":null,"work_id":"b86e55e1-a2b1-4cd7-bf06-664b3bafd0e5","year":2023},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:1301de00bfe108e8dbbce863de4b34f8c7c8c92c2f172c00ae4618e7afcf32d1","observation_id":"a241fa1a-1e49-4741-9d58-cdd9eea753c2","resolution":{"observed_at":"2026-07-08T22:35:40.790381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.761473Z","title":"In: WebSci 2020","venue":null,"work_id":"f426898a-b3e2-4471-a264-2610e1ad1591","year":2020},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:f6ec5d6481d39e231e467fc3a7ff4589a9663209721fa742f0b677131be8713a","observation_id":"052a3d88-7ba2-41c4-9f22-22e9fe38f54d","resolution":{"observed_at":"2026-07-08T22:35:40.762558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.02586","last_updated":"2020-12-07T03:00:54Z","snapshot_observed_at":"2026-08-16T19:00:58.527046Z","submitted_at":"2020-12-04T13:46:42Z","title":"TrollHunter [Evader]: Automated Detection [Evasion] of Twitter Trolls During the COVID-19 Pandemic","version":2},"cited_work":{"arxiv_id":"2012.02586","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.02586","snapshot_observed_at":"2026-07-08T22:35:40.479474Z","title":"TrollHunter [Evader]: Automated Detection [Evasion] of Twitter Trolls During the COVID-19 Pandemic","venue":"cs.CR","work_id":"12273008-810e-488c-a902-1105181c8aa1","year":2020},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"cited_paper":"/paper/2012.02586","citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:1d90063a5c8ec0799988e0cad2fa2b6d5d5583c9b38ac6c9c43b91838febfcc8","observation_id":"d7c95891-508f-4982-9685-7b6b6a9c2222","resolution":{"observed_at":"2026-07-08T22:35:40.480924Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.816443Z","title":"Transactions on Machine Learning Research (2025)","venue":null,"work_id":"69b693a7-a32c-4660-a7e8-5935f183f4cf","year":2025},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:25dabc8a7656411b572d14e8ec0383b86722af9cbb2b16d6b24649b511abe5fb","observation_id":"d88442ba-a8ad-43f8-88ed-b01e062b6b25","resolution":{"observed_at":"2026-07-08T22:35:40.817618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.799267Z","title":"In: Proceedings of the ACM Web Conference 2023","venue":null,"work_id":"461dd4ad-e8a4-4481-beff-4443cb496abb","year":2023},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:2be547454c023dc97be2ff900e1989eead86f797bdbdc4b9f5ce99680288dba3","observation_id":"027177aa-813b-4286-8be3-77b807c027cf","resolution":{"observed_at":"2026-07-08T22:35:40.800451Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.768103Z","title":"In: EMNLP 2022","venue":null,"work_id":"295162df-df68-4a9a-87a0-47babe3fffeb","year":2022},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:f9427251bb929e70c06096d774ea24e09e1e85dda22e5fc243817898aef979a4","observation_id":"bce0e7a6-f9d8-449c-a7e0-9c572713361d","resolution":{"observed_at":"2026-07-08T22:35:40.769124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.782873Z","title":null,"venue":null,"work_id":"aa2c38fd-174d-4faf-a36d-32213c875b3f","year":2025},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:badb65f4f7440ef9b888102b1cc10f0bf4ed1bd7b5e42cf73ae908f001d80b71","observation_id":"29205872-263c-42f7-bb1c-c222c1162e72","resolution":{"observed_at":"2026-07-08T22:35:40.783871Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.781304Z","title":"TMLR (2022)","venue":null,"work_id":"102c61ac-8db6-4115-b5a7-5e2169219370","year":2022},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:74f7641511756579ba927d12d4fd612958b85186d9983ed937b3d0f89ae3ec78","observation_id":"b3b933c3-47fa-492c-b306-608865328868","resolution":{"observed_at":"2026-07-08T22:35:40.782344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.804303Z","title":"In: Proceedings of the 38th International Conference on Machine Learning","venue":null,"work_id":"b7ba876a-238d-4e32-a704-2d2f71211338","year":2021},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:3a65fa86fa08e28d5d3e2c316f1dc413f032e11bcb0d06416f98213c9bd4713a","observation_id":"bf01e713-0fb7-42dc-b813-458004a9f82d","resolution":{"observed_at":"2026-07-08T22:35:40.805563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.779760Z","title":"In: Companion Proceedings of the ACM Web Conference 2024","venue":null,"work_id":"eb21380d-1766-4b4e-9680-36ed5e157077","year":2024},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:5903cf1cf49bbf5a7e340ddea2714bd2223d4651258bd41690e7481448f4f673","observation_id":"99c2922e-66fb-4361-b49e-56f04b2abdb2","resolution":{"observed_at":"2026-07-08T22:35:40.780798Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.792470Z","title":"Proceedings of the International AAAI Conference on Web and Social Media14, 417–427 (2020)","venue":null,"work_id":"9ec1fe81-bdcf-48ba-b568-12c8abda95f7","year":2016},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:45b4dd28e30afd1d8224927105fbae095836e9b7a55160764a9b5b864d38c250","observation_id":"cb1ad122-3b40-4801-b667-aa8a838db4e4","resolution":{"observed_at":"2026-07-08T22:35:40.793543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.807822Z","title":"IEEE Access12, 15902–15916 (2024)","venue":null,"work_id":"1bc946e9-a862-4326-93cb-fd16b4451bbf","year":2024},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:d6760086a253f12d67f5fd89a270ce2d4fd5c7fb98fd08cb66d37fe3a8b4d549","observation_id":"325dd8d6-f508-43b1-930a-bbd19f815572","resolution":{"observed_at":"2026-07-08T22:35:40.809499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.777953Z","title":"Proceedings of the AAAI Conference on Artificial Intelligence39(27), 28258–28266 (2025)","venue":null,"work_id":"0271e0b6-1e90-4e62-98fc-86bdd13f5061","year":2025},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:a271b5b54fe1288bcc2913651f98d55cbfcb80bdb672e94bcd8d3ce31ebd7e8b","observation_id":"75ec1e2b-92d7-4cbe-b4c2-31ede3576659","resolution":{"observed_at":"2026-07-08T22:35:40.779235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.759823Z","title":"EPJ Data Science12(1), 33 (2023)","venue":null,"work_id":"596c5ae5-e970-452f-a7bb-fffee4d370c2","year":2023},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:8df7a44219a3b5d2409611f0f3554faf57c6d09b4cf44bb075e5464af5a69f8c","observation_id":"cb39290b-1fc2-48e8-8957-9486d1aff343","resolution":{"observed_at":"2026-07-08T22:35:40.760947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.16720","last_updated":"2026-04-30T02:46:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-21T18:04:31Z","title":"OpenAI o1 System Card","version":2},"cited_work":{"arxiv_id":"2412.16720","doi":"10.48550/arxiv.2412.16720","metadata_source":"pith","pith_arxiv_id":"2412.16720","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"OpenAI o1 System Card","venue":"cs.AI","work_id":"68d3c334-0fc9-49e3-b7b0-a69afae933e2","year":2024},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"cited_paper":"/paper/2412.16720","citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:a1eb81b34dfa5c51417dab16f1896f821d9eebc27fd0a1b5d6e047713acdd5ae","observation_id":"94486ccc-21ac-4af5-8ed7-6e25a204ef7e","resolution":{"observed_at":"2026-07-08T22:35:40.478222Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.10925","last_updated":"2025-08-08T19:24:38Z","snapshot_observed_at":"2026-08-14T02:46:12.121034Z","submitted_at":"2025-08-08T19:24:38Z","title":"gpt-oss-120b & gpt-oss-20b Model Card","version":1},"cited_work":{"arxiv_id":"2508.10925","doi":"10.3115/1073083.1073135","metadata_source":"pith","pith_arxiv_id":"2508.10925","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"gpt-oss-120b & gpt-oss-20b Model Card","venue":"cs.CL","work_id":"178c1f7e-4f19-4392-a45d-45a6dfa88ead","year":2025},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"cited_paper":"/paper/2508.10925","citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:2f087331afdf3d27758296215a1b2fd86a23eaa0900660981bd7e45022960830","observation_id":"d6da4726-0795-45c4-b836-ef075bf5979c","resolution":{"observed_at":"2026-07-08T22:35:40.475541Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-07-11T19:19:47.962081+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T19:19:47.962081+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.758189Z","title":"In: NeurIPS 2025 (2025)","venue":null,"work_id":"190b1417-f23e-4be8-94e3-3bf22710d1dc","year":2025},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:531d872f3c6512fed55176b6e95dbf927c8033618b3f8925b2723292aceeae08","observation_id":"10d77999-5735-4bbb-83d1-2e4b403759d0","resolution":{"observed_at":"2026-07-08T22:35:40.759296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.756457Z","title":"In: Proceedings of the 40th International Conference on Machine Learning","venue":null,"work_id":"7f6e6ae1-bb35-40dd-9af6-a7d24975a1f1","year":2023},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:b88e15edccda9343b792e61ddb2d05a821d23ecb8a5dd7e6e92e0a0a9aff5c00","observation_id":"8254bc1e-a331-481a-af9b-44c6c908a13c","resolution":{"observed_at":"2026-07-08T22:35:40.757627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.764772Z","title":"In: CVPR","venue":null,"work_id":"9456ab0d-5348-4443-bc6e-0b371bd1f54b","year":2024},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:a82b3de941e47fbc948e94525386dfd62ab7cd483f1ffcfbe963c119e4888def","observation_id":"2dc01938-c5da-40dc-8c24-4cb0ad130281","resolution":{"observed_at":"2026-07-08T22:35:40.765885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.795741Z","title":"In: Proceedings of the 39th International Conference on Machine Learning","venue":null,"work_id":"f848cf32-c871-4720-b47e-8e7d236fa4a3","year":2022},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:df50d62bc638b1553155171d2e871ebe9c2cbe461c1cbf962f305e873fd38bd3","observation_id":"eff9c2c0-6157-4453-a09d-ee44eac4ebdc","resolution":{"observed_at":"2026-07-08T22:35:40.796845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.776218Z","title":"Proceedings of the International AAAI Conference on Web and Social Media 19, 2567–2574 (2025)","venue":null,"work_id":"9eb6c82a-5c23-494d-89fe-204860ee62ac","year":2025},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:ab8bcd84c02e92f8317c2fcee30fd8595f17f7c4886f2eb503cec3a044eacbaf","observation_id":"2a9ba1af-f378-4fca-a1ac-fe9ad35b950e","resolution":{"observed_at":"2026-07-08T22:35:40.777372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.794048Z","title":"In: NeurIPS 2021 (2021) 18 S","venue":null,"work_id":"14057f2b-fac4-44ca-99cf-2424f7081b2c","year":2021},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:0ba126774c699e71e4593d27c65b4efb9c1c17ae32984e5769a5055311516fc3","observation_id":"cc96d70a-a6f4-4d1f-bace-8ab9f22d96b4","resolution":{"observed_at":"2026-07-08T22:35:40.795176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.786015Z","title":"In: IJCAI 2021","venue":null,"work_id":"55d92553-3529-4329-a5cc-d1b1a0e0e668","year":2021},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:e5d28672d4eab7f06904fa44d8d5a8e9199f71c7c16bf6ad9ceda1462e23bca3","observation_id":"7894b0a7-f0ca-4d78-833a-01270ae695ec","resolution":{"observed_at":"2026-07-08T22:35:40.787056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.774519Z","title":"Pro- ceedings of the National Academy of Sciences118(4) (2021)","venue":null,"work_id":"efe6b5be-91f7-4d33-ac22-63cb8f5fa43b","year":2021},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:97c1545a18e59a76f05947fad08404408801a5a6ca27e4915b20574b03c187ae","observation_id":"299a9774-3f14-486a-b3ae-05e15faff3b0","resolution":{"observed_at":"2026-07-08T22:35:40.775703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.06471","last_updated":"2025-08-08T17:21:06Z","snapshot_observed_at":"2026-08-11T03:34:09.767397Z","submitted_at":"2025-08-08T17:21:06Z","title":"GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models","version":1},"cited_work":{"arxiv_id":"2508.06471","doi":"10.48550/arxiv.2508.06471","metadata_source":"pith","pith_arxiv_id":"2508.06471","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models","venue":"cs.CL","work_id":"5bb4e5d7-985e-431b-bb0d-75576cdc2950","year":2025},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"cited_paper":"/paper/2508.06471","citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:e9045be57619b2f3be4f08d71ea3fb592cd0f534595bcd6193cee556c485fef4","observation_id":"8cd453bc-06cb-45ee-8cab-7ba1eb4139bd","resolution":{"observed_at":"2026-07-08T22:35:40.486657Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-05-23T05:23:01.474969+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T05:23:01.474969+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.811750Z","title":null,"venue":null,"work_id":"95386eb7-7c18-444a-a094-27d88374ffd8","year":2025},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:0a3296a2aeb63b0ab7c41cf0d05c0c8d0b4eecde165cefd8deab4cee61ae37bd","observation_id":"06e52eca-a4f1-46f5-93de-dd3b918e8b4d","resolution":{"observed_at":"2026-07-08T22:35:40.812855Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.814875Z","title":"In: HCI International 2023 - Late Breaking Papers","venue":null,"work_id":"5be7ab6b-e1a3-4f5b-81e9-fa57bea5d5cf","year":2023},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:f7b140d56ca54d2dd220d7bedce7d0083df16e8e9c97bcd4c99f9ee1512898e6","observation_id":"94396cb0-f889-4a49-ad59-91c8978e2048","resolution":{"observed_at":"2026-07-08T22:35:40.815919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.797412Z","title":"Social Science Computer Review43(6), 1181–1195 (2025)","venue":null,"work_id":"69486fa3-abb2-43f4-bb73-217c7f75d92f","year":2025},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:020e409d43d7929d9d128d005ed7e9573ca51549ce3e6d34256c57c3a07f5e98","observation_id":"ed0539be-6817-4e76-b6fa-bde5407fa50c","resolution":{"observed_at":"2026-07-08T22:35:40.798700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.772971Z","title":"In: CCSW 2020","venue":null,"work_id":"aa070f89-4ee9-40d2-8b9a-6dd38015cc21","year":2020},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:eabeb4c369f5cc1f595d154b015e015282820e70f0ec06837ff94ac17abb1159","observation_id":"561deebb-270d-4024-aae4-7a97315aeca4","resolution":{"observed_at":"2026-07-08T22:35:40.774004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.763069Z","title":"Proceedings of the International AAAI Conference on Web and Social Media18, 1557–1570 (2024)","venue":null,"work_id":"7e615b32-090f-43cf-b813-2d0fc538bf02","year":2024},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:f56dbad4bf818e240a99dadc0061528233d09f089e92fcc9e972bf0dd72e3b63","observation_id":"a5ae58bf-a746-406b-a2ae-a65645529453","resolution":{"observed_at":"2026-07-08T22:35:40.764192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.771321Z","title":"In: Advances in Neural Information Processing Systems","venue":null,"work_id":"047a18ce-719b-4091-a6e7-0bf1900d0528","year":2019},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:a1031ea20149003bf586c8c7bce796b2f1868e1b283b4ba8e70cad953e341c73","observation_id":"41be4fdd-656c-46c4-9445-a90e08d8395e","resolution":{"observed_at":"2026-07-08T22:35:40.772455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.802664Z","title":"Transactions on Machine Learning Research (2022)","venue":null,"work_id":"125b85f6-bedc-49b3-9a0a-5b79b6fd0c94","year":2022},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:d53b0e830b83576a2a870792a23c5f76e5046a4c889022fb1b8da47b3866c4ab","observation_id":"0b68d2b1-bfd7-46b4-9015-902cdeb08704","resolution":{"observed_at":"2026-07-08T22:35:40.803765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.769678Z","title":"In: Proceedings of the 37th International Conference on Machine Learning","venue":null,"work_id":"336bbae9-674c-429a-8abe-58b71273f103","year":2020},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:b4611408a11c3610d2046b15ef9258e829ac73649cee2f6ffb55a79bb50ef6e0","observation_id":"68760d16-12a1-4be1-883e-17992cbcd042","resolution":{"observed_at":"2026-07-08T22:35:40.770791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.801049Z","title":"In: ICDM","venue":null,"work_id":"d2036d01-b84b-4fc3-8723-a024808a7369","year":2023},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:bc31b932f10811e0f75a7d165fa81dac3c611dcbcfcc9ae6bbd109e4c2339c8f","observation_id":"fd584f7c-96e4-4f8d-824c-5f1970e42d1e","resolution":{"observed_at":"2026-07-08T22:35:40.802112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-07-08T22:35:40.766481Z","title":"In: WWW 2024 Companion","venue":null,"work_id":"4984b6b2-5f59-4084-b171-d3dd6cd2b977","year":2024},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:433f9bf9802a787e7ec241bdf2a19393fdac5918b862d13a6239cd0ad66318df","observation_id":"0e5cab8c-6327-4f68-982e-ecc4ff3e024f","resolution":{"observed_at":"2026-07-08T22:35:40.767541Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2403.11169","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T22:35:40.482267Z","title":"arXiv preprint arXiv:2403.11169 , year=","venue":null,"work_id":"2f1e53c7-5271-46c6-84a2-ee27a32a488d","year":2026},"citing_paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-08T22:34:20.888800Z"},"links":{"citing_paper":"/paper/2607.05855"},"observation_digest":"sha256:c2565c065cb550f6e35c8503940c10cd0ff6264e0280540f13b9ff3b90ac5d03","observation_id":"3e9bba06-b4c0-42ae-9343-211797c89f8c","resolution":{"observed_at":"2026-07-08T22:35:40.483797Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.05855","last_updated":"2026-07-07T05:23:42Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-02T09:18:44.162887Z","submitted_at":"2026-07-07T05:23:42Z","title":"Unsupervised Anomaly Detection of Information Operations Users via Behavioral and Language Patterns"},"reference_resolution":{"displayed":43,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":5,"verified_fuzzy":36},"total_outbound_references":43},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.05855."}