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Paper Citation Record · LEDGER

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops

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.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.15114 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T00:11:40.693826Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8154a600-3082-4e34-887c-994df2961e1b · outbound

This paper cites Ricci, L.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops Ricci, L

Reference 1

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source=pdf_text observed=2026-08-02T00:11:40.523482Z digest=sha256:a4badbd2f111111b9c85f584e2d83f5962a3938c359aec569bd3a5b2771fd8fb

Observation e86f57ba-9683-47f4-99da-8035d00d197b · outbound

This paper cites Matrix factorization techniques for recommender systems,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops Matrix factorization techniques for recommender systems,

Reference 2

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source=pdf_text observed=2026-08-02T00:11:40.531276Z digest=sha256:6fbbe96a7f0ea96031905450bc4b87a7657eac3078c5e2e7dce83fc3e94d7603

Observation 090afbdc-8f4b-4e40-9026-867e7163e9dd · outbound

This paper cites Bpr: Bayesian personalized ranking from implicit feedback,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops Bpr: Bayesian personalized ranking from implicit feedback,

Reference 3

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source=pdf_text observed=2026-08-02T00:11:40.536799Z digest=sha256:7594125567af37f682eed205bcdf56bbbdd276b233e76f96a7bdeb3ffa31f229

Observation 4bd53e31-ae7b-441b-9a41-2fc537de5ec3 · outbound

This paper cites Lightgcn: Simplifying and powering graph convolution network for recommenda- tion,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops Lightgcn: Simplifying and powering graph convolution network for recommenda- tion,

Reference 4

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source=pdf_text observed=2026-08-02T00:11:40.542872Z digest=sha256:83a5cf017a613a6cf3f3b2ffcdf01b09737270eb340bb3fff4056913a056a784

Observation de96b1db-b998-4e3b-b138-6d894f71908d · outbound

This paper cites The relevance of algorithms,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops The relevance of algorithms,

Reference 5

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source=pdf_text observed=2026-08-02T00:11:40.549080Z digest=sha256:c89a2ae720e9c1631fae43188b276388b423039800ac3a47c587044c6b3b6b8e

Observation ec1df0ff-738f-4d31-a772-f824b731866d · outbound

This paper cites Automated media: An institutional theory perspective on algorithmic media production and consumption,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops Automated media: An institutional theory perspective on algorithmic media production and consumption,

Reference 6

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source=pdf_text observed=2026-08-02T00:11:40.554470Z digest=sha256:543b72efe5c6604899296523c4d19dcb5379a6c3f76cd0e171d2678920de5d94

Observation d9c80735-eed3-4a28-9e09-3388ca66ceb7 · outbound

This paper cites Toward trustwor- thy recommender systems: An analysis of attack models and algorithm robustness,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops Toward trustwor- thy recommender systems: An analysis of attack models and algorithm robustness,

Reference 7

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source=pdf_text observed=2026-08-02T00:11:40.562051Z digest=sha256:c7cda4c524423c99a52bdd0078c7b42aa1315ba8bab17eec2a0eba03c63c9d9d

Observation f679bd45-46df-476f-851d-bdda210cbe00 · outbound

This paper cites Shilling attacks against recommender systems: A comprehensive survey,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops Shilling attacks against recommender systems: A comprehensive survey,

Reference 8

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source=pdf_text observed=2026-08-02T00:11:40.567728Z digest=sha256:1660b06e075fe167c1b2943c1e5cc97790a33dee27cc0ba039fb4b8d490feb10

Observation 2eb47283-0fe5-490d-9cb8-3384f326b902 · outbound

This paper cites Data poisoning attacks on factorization-based collaborative filtering,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops Data poisoning attacks on factorization-based collaborative filtering,

Reference 9

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source=pdf_text observed=2026-08-02T00:11:40.573098Z digest=sha256:8c5781f435d31ab76c27740c0908ec2eae0eb11daee83601608414ae026454f5

Observation 08e6db75-e9de-4bb0-96af-e657daf702c2 · outbound

This paper cites How algorithmic confounding in recommendation systems increases homogeneity and decreases utility,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops How algorithmic confounding in recommendation systems increases homogeneity and decreases utility,

Reference 10

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source=pdf_text observed=2026-08-02T00:11:40.578488Z digest=sha256:bff5e16c4d854d8e6f8cbef9bdaa57dee5e809ce3a60f509c3d1d9e879c04439

Observation d4ef14d4-67a7-4f12-bac5-cd4602bfde24 · outbound

This paper cites Feedback loop and bias amplification in recommender systems,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops Feedback loop and bias amplification in recommender systems,

Reference 11

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source=pdf_text observed=2026-08-02T00:11:40.583533Z digest=sha256:b3fbe68e5dfc8bcc675949d6815d10818d8236961a6594530d39060d1c68d60e

Observation 7c617df3-328b-447e-b5a2-12634decc90f · outbound

This paper cites The unfairness of popularity bias in recommendation,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops The unfairness of popularity bias in recommendation,

Reference 12

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source=pdf_text observed=2026-08-02T00:11:40.589584Z digest=sha256:df56a1cb86e499f824d313800be54be013c1580a1214b9eefd2e579673905c0d

Observation 145c5940-d4bc-4ed4-aa95-f6bb0d2b1bdc · outbound

This paper cites The rise of social bots,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops The rise of social bots,

Reference 13

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source=pdf_text observed=2026-08-02T00:11:40.597458Z digest=sha256:4f321d2fe7829c31223aa79148403816b1139e7816ea3a6cfa4a1d58c761fab8

Observation 0b7356d3-ff9a-48d8-89f2-cff4d37a8675 · outbound

This paper cites Online human-bot interactions: Detection, estimation, and characterization,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops Online human-bot interactions: Detection, estimation, and characterization,

Reference 14

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source=pdf_text observed=2026-08-02T00:11:40.602759Z digest=sha256:dcef6178de868e134f70fb1ec3aa541b6d237cc0efe5edc39cf1f9c21b56a71e

Observation 910772b8-213a-4af4-af4c-8cd50eb180d5 · outbound

This paper cites The spread of true and false news online,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops The spread of true and false news online,

Reference 15

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source=pdf_text observed=2026-08-02T00:11:40.608347Z digest=sha256:1e525bcac01a64d1f5dee3edf2abcde5726c77303354ba66d8cc70d0b4d12068

Observation e2050650-d947-4dea-a4f7-4e2118f2a5aa · outbound

This paper cites Generative agents: Interactive simulacra of human behavior,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops Generative agents: Interactive simulacra of human behavior,

Reference 16

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source=pdf_text observed=2026-08-02T00:11:40.615468Z digest=sha256:2b8065b1c00c4e402c3afc5aff4528390956f41b0a4a2e1cd94fd8a855e5e5aa

Observation 4d5efa0c-9bbc-4538-8273-bcb0845321eb · outbound

This paper cites User behavior simulation with large language model-based agents,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops User behavior simulation with large language model-based agents,

Reference 17

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source=pdf_text observed=2026-08-02T00:11:40.622890Z digest=sha256:acf3dbecc7ede1a186a42fc6b9aa589862af71ba068fd7f18dc160e9b85f8e00

Observation 1b6fd168-6837-45d5-826b-9cff83ba510a · outbound

This paper cites On generative agents in recommendation,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops On generative agents in recommendation,

Reference 18

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source=pdf_text observed=2026-08-02T00:11:40.628973Z digest=sha256:b4871a9a440563eb7e3eda3cf4aa385ef2e0e960003d9db3afba1cbd5b4f6df4

Observation 00534716-efbd-4625-b634-cfc9eaba4c2c · outbound

This paper cites RecSim: A Configurable Simulation Platform for Recommender Systems.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops RecSim: A Configurable Simulation Platform for Recommender Systems

Reference 19

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source=pdf_text observed=2026-08-02T00:11:40.635338Z digest=sha256:faf5ff0baf044d3b20c9dbcc878610aa69af7e2b685d6cf035cd16a46a246e0c

Observation a6c8043a-d34b-4f17-b693-abbe31596805 · outbound

This paper cites OASIS: Open Agent Social Interaction Simulations with One Million Agents.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops OASIS: Open Agent Social Interaction Simulations with One Million Agents

Reference 20

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source=pdf_text observed=2026-08-02T00:11:40.643060Z digest=sha256:387be3ef1fc1869d806f2a577bc82e5c898d13e0a36f0f2afdda49b02fc94d75

Observation 68b6ad39-bbe9-437a-adb0-fcc250394625 · outbound

This paper cites Mind: A large-scale dataset for news recommendation,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops Mind: A large-scale dataset for news recommendation,

Reference 21

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source=pdf_text observed=2026-08-02T00:11:40.649604Z digest=sha256:3b638c19d88ee01e748c38f922026b487cfe8b6dbf18291d625e8476db455640

Observation 57bf204a-e1bb-4abf-bfd5-8a6ac5ab4ddd · outbound

This paper cites The movielens datasets: History and context,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops The movielens datasets: History and context,

Reference 22

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source=pdf_text observed=2026-08-02T00:11:40.656402Z digest=sha256:7495a8b601dc547f8beecb554650ac1e5fb5a819ae76c03abfd7c3f39e3a7b54

Observation ee21c476-1aaa-472b-b618-b07374523e03 · outbound

This paper cites Hetrec 2011 datasets,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops Hetrec 2011 datasets,

Reference 23

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source=pdf_text observed=2026-08-02T00:11:40.662481Z digest=sha256:190bbdbc00bd87592f565daea63f43edcdcc0821ce2c4104d6d745899afe4565

Observation b26e7c75-b2e5-473c-823f-6133d2d9ff46 · outbound

This paper cites What kind of news gatekeepers do we want machines to be? filter bubbles, fragmentation, and the normative dimensions of algorithmic recommendations,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops What kind of news gatekeepers do we want machines to be? filter bubbles, fragmentation, and the normative dimensions of algorithmic recommendations,

Reference 24

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source=pdf_text observed=2026-08-02T00:11:40.669716Z digest=sha256:4859b8d87f0cf478f95ccbb70f82d42ebc2d1a2c4df94075b5d723fe3345134c

Observation 58140e33-6d1e-40ed-88c4-eb2ff808cdec · outbound

This paper cites Experimental study of inequality and unpredictability in an artificial cultural market,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops Experimental study of inequality and unpredictability in an artificial cultural market,

Reference 25

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source=pdf_text observed=2026-08-02T00:11:40.675257Z digest=sha256:6259ca7c011a15903f3a91609f32d6657d9990641f9c0b56580a6e789e5aeaca

Observation 6b8e90b7-e256-4d13-bae9-a2d2e24e9eea · outbound

This paper cites Exposure diversity as a design principle for recommender systems,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops Exposure diversity as a design principle for recommender systems,

Reference 26

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source=pdf_text observed=2026-08-02T00:11:40.681805Z digest=sha256:d1966a1636997a2cb92305c4c03bfd89b744a3982aee3dfd71b030d3c24a1a49

Observation 559e228f-c0da-4a2f-b931-5b308407ce40 · outbound

This paper cites The logic of connective action: Digital media and the personalization of contentious politics,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops The logic of connective action: Digital media and the personalization of contentious politics,

Reference 27

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source=pdf_text observed=2026-08-02T00:11:40.687425Z digest=sha256:d58ec0e25b1dbc0fe8a60ff6b740f29aaa567d869838b4b499971691a86bac05

Observation 4578d887-b3ab-4d58-ad4c-a481fa7c79c7 · outbound

This paper cites On the detection of disinformation campaign activity with network analysis,.

CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops On the detection of disinformation campaign activity with network analysis,

Reference 28

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source=pdf_text observed=2026-08-02T00:11:40.693826Z digest=sha256:8224082a88da1b0a582b685fd5a4adaed9d31953e626686e4b893af937c91fda

Pith citing papers

No inbound Pith citation observations are available.