{"as_of":"2026-08-06T19:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:440e4b3f5e4751b774910d1ffd8aea78bb3a46f94304c2bca9176a9be2a470e8","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T00:11:40.693826Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+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/2607.15114/citation-record","integrity":"/paper/2607.15114/integrity","json":"/paper/2607.15114/citation-record.json","paper":"/paper/2607.15114"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T00:11:40.523482Z","title":"Ricci, L","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.523482Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:a4badbd2f111111b9c85f584e2d83f5962a3938c359aec569bd3a5b2771fd8fb","observation_id":"8154a600-3082-4e34-887c-994df2961e1b","resolution":{"observed_at":"2026-08-02T00:11:40.523482Z","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":"2026-08-02T00:11:40.531276Z","title":"Matrix factorization techniques for recommender systems,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.531276Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:6fbbe96a7f0ea96031905450bc4b87a7657eac3078c5e2e7dce83fc3e94d7603","observation_id":"e86f57ba-9683-47f4-99da-8035d00d197b","resolution":{"observed_at":"2026-08-02T00:11:40.531276Z","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":"2026-08-02T00:11:40.536799Z","title":"Bpr: Bayesian personalized ranking from implicit feedback,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.536799Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:7594125567af37f682eed205bcdf56bbbdd276b233e76f96a7bdeb3ffa31f229","observation_id":"090afbdc-8f4b-4e40-9026-867e7163e9dd","resolution":{"observed_at":"2026-08-02T00:11:40.536799Z","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":"2026-08-02T00:11:40.542872Z","title":"Lightgcn: Simplifying and powering graph convolution network for recommenda- tion,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.542872Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:83a5cf017a613a6cf3f3b2ffcdf01b09737270eb340bb3fff4056913a056a784","observation_id":"4bd53e31-ae7b-441b-9a41-2fc537de5ec3","resolution":{"observed_at":"2026-08-02T00:11:40.542872Z","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":"2026-08-02T00:11:40.549080Z","title":"The relevance of algorithms,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.549080Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:c89a2ae720e9c1631fae43188b276388b423039800ac3a47c587044c6b3b6b8e","observation_id":"de96b1db-b998-4e3b-b138-6d894f71908d","resolution":{"observed_at":"2026-08-02T00:11:40.549080Z","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":"2026-08-02T00:11:40.554470Z","title":"Automated media: An institutional theory perspective on algorithmic media production and consumption,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.554470Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:543b72efe5c6604899296523c4d19dcb5379a6c3f76cd0e171d2678920de5d94","observation_id":"ec1df0ff-738f-4d31-a772-f824b731866d","resolution":{"observed_at":"2026-08-02T00:11:40.554470Z","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":"2026-08-02T00:11:40.562051Z","title":"Toward trustwor- thy recommender systems: An analysis of attack models and algorithm robustness,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.562051Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:c7cda4c524423c99a52bdd0078c7b42aa1315ba8bab17eec2a0eba03c63c9d9d","observation_id":"d9c80735-eed3-4a28-9e09-3388ca66ceb7","resolution":{"observed_at":"2026-08-02T00:11:40.562051Z","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":"2026-08-02T00:11:40.567728Z","title":"Shilling attacks against recommender systems: A comprehensive survey,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.567728Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:1660b06e075fe167c1b2943c1e5cc97790a33dee27cc0ba039fb4b8d490feb10","observation_id":"f679bd45-46df-476f-851d-bdda210cbe00","resolution":{"observed_at":"2026-08-02T00:11:40.567728Z","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":"2026-08-02T00:11:40.573098Z","title":"Data poisoning attacks on factorization-based collaborative filtering,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.573098Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:8c5781f435d31ab76c27740c0908ec2eae0eb11daee83601608414ae026454f5","observation_id":"2eb47283-0fe5-490d-9cb8-3384f326b902","resolution":{"observed_at":"2026-08-02T00:11:40.573098Z","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":"2026-08-02T00:11:40.578488Z","title":"How algorithmic confounding in recommendation systems increases homogeneity and decreases utility,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.578488Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:bff5e16c4d854d8e6f8cbef9bdaa57dee5e809ce3a60f509c3d1d9e879c04439","observation_id":"08e6db75-e9de-4bb0-96af-e657daf702c2","resolution":{"observed_at":"2026-08-02T00:11:40.578488Z","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":"2026-08-02T00:11:40.583533Z","title":"Feedback loop and bias amplification in recommender systems,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.583533Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:b3fbe68e5dfc8bcc675949d6815d10818d8236961a6594530d39060d1c68d60e","observation_id":"d4ef14d4-67a7-4f12-bac5-cd4602bfde24","resolution":{"observed_at":"2026-08-02T00:11:40.583533Z","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":"2026-08-02T00:11:40.589584Z","title":"The unfairness of popularity bias in recommendation,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.589584Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:df56a1cb86e499f824d313800be54be013c1580a1214b9eefd2e579673905c0d","observation_id":"7c617df3-328b-447e-b5a2-12634decc90f","resolution":{"observed_at":"2026-08-02T00:11:40.589584Z","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":"2026-08-02T00:11:40.597458Z","title":"The rise of social bots,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.597458Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:4f321d2fe7829c31223aa79148403816b1139e7816ea3a6cfa4a1d58c761fab8","observation_id":"145c5940-d4bc-4ed4-aa95-f6bb0d2b1bdc","resolution":{"observed_at":"2026-08-02T00:11:40.597458Z","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":"2026-08-02T00:11:40.602759Z","title":"Online human-bot interactions: Detection, estimation, and characterization,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.602759Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:dcef6178de868e134f70fb1ec3aa541b6d237cc0efe5edc39cf1f9c21b56a71e","observation_id":"0b7356d3-ff9a-48d8-89f2-cff4d37a8675","resolution":{"observed_at":"2026-08-02T00:11:40.602759Z","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":"2026-08-02T00:11:40.608347Z","title":"The spread of true and false news online,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.608347Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:1e525bcac01a64d1f5dee3edf2abcde5726c77303354ba66d8cc70d0b4d12068","observation_id":"910772b8-213a-4af4-af4c-8cd50eb180d5","resolution":{"observed_at":"2026-08-02T00:11:40.608347Z","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":"2026-08-02T00:11:40.615468Z","title":"Generative agents: Interactive simulacra of human behavior,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.615468Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:2b8065b1c00c4e402c3afc5aff4528390956f41b0a4a2e1cd94fd8a855e5e5aa","observation_id":"e2050650-d947-4dea-a4f7-4e2118f2a5aa","resolution":{"observed_at":"2026-08-02T00:11:40.615468Z","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":"2026-08-02T00:11:40.622890Z","title":"User behavior simulation with large language model-based agents,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.622890Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:acf3dbecc7ede1a186a42fc6b9aa589862af71ba068fd7f18dc160e9b85f8e00","observation_id":"4d5efa0c-9bbc-4538-8273-bcb0845321eb","resolution":{"observed_at":"2026-08-02T00:11:40.622890Z","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":"2026-08-02T00:11:40.628973Z","title":"On generative agents in recommendation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.628973Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:b4871a9a440563eb7e3eda3cf4aa385ef2e0e960003d9db3afba1cbd5b4f6df4","observation_id":"1b6fd168-6837-45d5-826b-9cff83ba510a","resolution":{"observed_at":"2026-08-02T00:11:40.628973Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.04847","last_updated":"2019-09-26T13:30:53Z","snapshot_observed_at":"2026-08-05T19:55:41.654237Z","submitted_at":"2019-09-11T04:43:45Z","title":"RecSim: A Configurable Simulation Platform for Recommender Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.04847","snapshot_observed_at":"2026-08-02T00:11:40.635338Z","title":"Recsim: A configurable simulation platform for recommender systems,","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.635338Z"},"links":{"cited_paper":"/paper/1909.04847","citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:faf5ff0baf044d3b20c9dbcc878610aa69af7e2b685d6cf035cd16a46a246e0c","observation_id":"00534716-efbd-4625-b634-cfc9eaba4c2c","resolution":{"observed_at":"2026-08-02T00:11:40.635338Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.11581","last_updated":"2025-03-23T13:00:03Z","snapshot_observed_at":"2026-08-02T06:52:32.786538Z","submitted_at":"2024-11-18T13:57:35Z","title":"OASIS: Open Agent Social Interaction Simulations with One Million Agents","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.11581","snapshot_observed_at":"2026-08-02T00:11:40.643060Z","title":"Oasis: Open agent social interaction simulations with one million agents,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.643060Z"},"links":{"cited_paper":"/paper/2411.11581","citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:387be3ef1fc1869d806f2a577bc82e5c898d13e0a36f0f2afdda49b02fc94d75","observation_id":"a6c8043a-d34b-4f17-b693-abbe31596805","resolution":{"observed_at":"2026-08-02T00:11:40.643060Z","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":"2026-08-02T00:11:40.649604Z","title":"Mind: A large-scale dataset for news recommendation,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.649604Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:3b638c19d88ee01e748c38f922026b487cfe8b6dbf18291d625e8476db455640","observation_id":"68b6ad39-bbe9-437a-adb0-fcc250394625","resolution":{"observed_at":"2026-08-02T00:11:40.649604Z","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":"2026-08-02T00:11:40.656402Z","title":"The movielens datasets: History and context,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.656402Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:7495a8b601dc547f8beecb554650ac1e5fb5a819ae76c03abfd7c3f39e3a7b54","observation_id":"57bf204a-e1bb-4abf-bfd5-8a6ac5ab4ddd","resolution":{"observed_at":"2026-08-02T00:11:40.656402Z","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":"2026-08-02T00:11:40.662481Z","title":"Hetrec 2011 datasets,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.662481Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:190bbdbc00bd87592f565daea63f43edcdcc0821ce2c4104d6d745899afe4565","observation_id":"ee21c476-1aaa-472b-b618-b07374523e03","resolution":{"observed_at":"2026-08-02T00:11:40.662481Z","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":"2026-08-02T00:11:40.669716Z","title":"What kind of news gatekeepers do we want machines to be? filter bubbles, fragmentation, and the normative dimensions of algorithmic recommendations,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.669716Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:4859b8d87f0cf478f95ccbb70f82d42ebc2d1a2c4df94075b5d723fe3345134c","observation_id":"b26e7c75-b2e5-473c-823f-6133d2d9ff46","resolution":{"observed_at":"2026-08-02T00:11:40.669716Z","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":"2026-08-02T00:11:40.675257Z","title":"Experimental study of inequality and unpredictability in an artificial cultural market,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.675257Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:6259ca7c011a15903f3a91609f32d6657d9990641f9c0b56580a6e789e5aeaca","observation_id":"58140e33-6d1e-40ed-88c4-eb2ff808cdec","resolution":{"observed_at":"2026-08-02T00:11:40.675257Z","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":"2026-08-02T00:11:40.681805Z","title":"Exposure diversity as a design principle for recommender systems,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.681805Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:d1966a1636997a2cb92305c4c03bfd89b744a3982aee3dfd71b030d3c24a1a49","observation_id":"6b8e90b7-e256-4d13-bae9-a2d2e24e9eea","resolution":{"observed_at":"2026-08-02T00:11:40.681805Z","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":"2026-08-02T00:11:40.687425Z","title":"The logic of connective action: Digital media and the personalization of contentious politics,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.687425Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:d58ec0e25b1dbc0fe8a60ff6b740f29aaa567d869838b4b499971691a86bac05","observation_id":"559e228f-c0da-4a2f-b931-5b308407ce40","resolution":{"observed_at":"2026-08-02T00:11:40.687425Z","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":"2026-08-02T00:11:40.693826Z","title":"On the detection of disinformation campaign activity with network analysis,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-02T00:11:40.693826Z"},"links":{"citing_paper":"/paper/2607.15114"},"observation_digest":"sha256:8224082a88da1b0a582b685fd5a4adaed9d31953e626686e4b893af937c91fda","observation_id":"4578d887-b3ab-4d58-ad4c-a481fa7c79c7","resolution":{"observed_at":"2026-08-02T00:11:40.693826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.15114","last_updated":"2026-07-30T09:20:10Z","latest_version":2,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-04T08:18:04.832541Z","submitted_at":"2026-07-16T15:24:09Z","title":"CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":28,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":28},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.15114."}