Paper Citation Record · LEDGER

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems

As of 5 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2605.02379.

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

pith.paper-citation-record.v1
2605.02379 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T18:16:45.474902Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:34:50.401085Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

verified exact13
verified fuzzy25
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 32d111d8-e8db-45ec-b401-184e70fbe060 · outbound

This paper cites Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:35:40.953202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 186d7ef0-98d5-4c01-b004-139492a8900d · outbound

This paper cites an unresolved cited work.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:21:49.333523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6a8d068d-0d1a-4ccb-9a79-0d3882cc6e6a · outbound

This paper cites Burke, Multisided fairness for recommendation, Workshop on Fairness, Accountability, and Transparency in Machine Learning (2017).

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Burke, Multisided fairness for recommendation, Workshop on Fairness, Accountability, and Transparency in Machine Learning (2017)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.329334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 632dee3f-8522-4978-adf3-f5dc7137fa17 · outbound

This paper cites Burke, G.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Burke, G

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.337539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1b4e0446-6180-44c8-9752-e18e3918b35e · outbound

This paper cites an unresolved cited work.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:21:49.320592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1295145d-93f4-4e9f-84f6-df350e7a6f7b · outbound

This paper cites Deldjoo, D.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Deldjoo, D

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.316304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 70908b84-d9a2-4291-8826-7b85b95f888d · outbound

This paper cites A Survey of Personalized Large Language Models: Progress and Future Directions.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems A Survey of Personalized Large Language Models: Progress and Future Directions

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:35:40.967774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 19dc8fac-cd5d-4bd2-9419-6f50bcf545a6 · outbound

This paper cites Multi-Agent Collaboration Mechanisms: A Survey of LLMs.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Multi-Agent Collaboration Mechanisms: A Survey of LLMs

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-13T15:54:55.141401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fe309cbb-d21a-4429-a63f-84cdb2b3ea20 · outbound

This paper cites Dignum and F.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Dignum and F

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:35:40.934593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b427318d-f420-42b2-ab84-50d353988287 · outbound

This paper cites Conformity and social impact on ai agents.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Conformity and social impact on ai agents

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:35:40.959424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 06731a7a-21cc-4e33-9821-3581245d1fa1 · outbound

This paper cites Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:35:40.964903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8c066a77-1e75-4fa3-8d99-de674a69686f · outbound

This paper cites Enhancing LLM Performance Through Debate: An Empirical Study on Multi-Agent Debate for Coding Tasks.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Enhancing LLM Performance Through Debate: An Empirical Study on Multi-Agent Debate for Coding Tasks

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-08-05T00:40:40.314526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7a841796-ec2b-4661-9825-82ba4b64e1f1 · outbound

This paper cites an unresolved cited work.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:21:49.324858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0ddd03c3-7308-45c2-9ec5-91af2fe0f4a1 · outbound

This paper cites Sen, Collective Choice and Social Welfare, Holden-Day.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Sen, Collective Choice and Social Welfare, Holden-Day

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.341789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4f7e47f3-613c-4db4-8cd6-1676a254a7b2 · outbound

This paper cites an unresolved cited work.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:21:49.345835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 52b54e55-b942-41a6-914c-7a8d3883ddc5 · outbound

This paper cites Bauer, L.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Bauer, L

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.350059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c082ddff-0c01-49dd-ba0a-4fcbf9e07e8a · outbound

This paper cites an unresolved cited work.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:21:49.307992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1285ae20-d214-4d45-aedd-b02e98e9b0c5 · outbound

This paper cites an unresolved cited work.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:21:49.305034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3feb13d5-4762-4c60-8bb2-b2647fa018f2 · outbound

This paper cites Mhlambi, S.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Mhlambi, S

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.312195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 89532dde-f64c-4dbc-bfbb-d6099ae35140 · outbound

This paper cites Deldjoo, Understanding biases in chatgpt-based recommender systems: Provider fairness, temporal stability, and recency, ACM TORS 4 (2025) 1–35.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Deldjoo, Understanding biases in chatgpt-based recommender systems: Provider fairness, temporal stability, and recency, ACM TORS 4 (2025) 1–35

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.301865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d2cd7178-0074-47f0-9c8d-7e6648b3abf2 · outbound

This paper cites AI Alignment and Social Choice: Fundamental Limitations and Policy Implications.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems AI Alignment and Social Choice: Fundamental Limitations and Policy Implications

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:35:40.922275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 00c48eb9-2ec0-4c26-b36a-e0bebb4547e3 · outbound

This paper cites Abou Ali, F.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Abou Ali, F

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.274217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ec2413b0-b2fb-457d-9f9b-2242022d181f · outbound

This paper cites an unresolved cited work.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Unresolved cited work

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:35:40.925585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d680b7ba-5641-48f9-b952-b67b7512502b · outbound

This paper cites Binkyte, Interactional fairness in llm multi-agent systems: An evaluation framework, in: Proceedings of AIES-25, volume 8, 2025, pp.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Binkyte, Interactional fairness in llm multi-agent systems: An evaluation framework, in: Proceedings of AIES-25, volume 8, 2025, pp

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.270959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 50e0f41a-34d2-43a1-86c9-3fb7331597ba · outbound

This paper cites an unresolved cited work.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:21:49.281675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dc576fa0-02d6-4de3-87e5-d6ec825a1bb5 · outbound

This paper cites an unresolved cited work.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:21:49.285154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9daf607d-9727-4549-a9a8-8709f50c43f3 · outbound

This paper cites Jackpot! Alignment as a Maximal Lottery.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Jackpot! Alignment as a Maximal Lottery

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:35:40.909216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d3085d93-cf4d-406d-b577-58c2fcad7f0b · outbound

This paper cites Collab-REC: An LLM-based Agentic Framework for Balancing Recommendations in Tourism.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Collab-REC: An LLM-based Agentic Framework for Balancing Recommendations in Tourism

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-03T02:05:41.832524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b64f1bc2-d515-4583-925a-aff541945049 · outbound

This paper cites Popescu, Group recommender systems as a voting problem, in: International Conference on Online Communities and Social Computing, Springer, 2013, pp.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Popescu, Group recommender systems as a voting problem, in: International Conference on Online Communities and Social Computing, Springer, 2013, pp

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.354777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 845bd6be-a20a-476a-a879-7d4b6c7343bb · outbound

This paper cites an unresolved cited work.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:21:49.255839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1473b457-f5bf-425f-95b1-5b87045edc54 · outbound

This paper cites Müllner, A.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Müllner, A

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.359052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0c14b777-1a53-4e78-9309-8fb1e7be4159 · outbound

This paper cites an unresolved cited work.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:21:49.291532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b10d070f-1adb-4ff9-b4e5-b03a51f9bdff · outbound

This paper cites Lozano, Envisioning sustainability three-dimensionally, Journal of cleaner production 16 (2008).

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Lozano, Envisioning sustainability three-dimensionally, Journal of cleaner production 16 (2008)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.251478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 22760502-5e8a-4d29-8815-fa01e9fad24b · outbound

This paper cites Forster, S.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Forster, S

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.259618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 22df9164-e0a2-4596-a3ae-0f4047163adf · outbound

This paper cites The Squared Kemeny Rule for Averaging Rankings.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems The Squared Kemeny Rule for Averaging Rankings

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:35:40.912203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 17d7fe53-2cc4-4676-8f7b-d1c34740a078 · outbound

This paper cites The Impact of Popularity Bias on Fairness and Calibration in Recommendation.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems The Impact of Popularity Bias on Fairness and Calibration in Recommendation

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:35:40.916237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 718ad975-89fa-4260-aca9-cfe2b031a766 · outbound

This paper cites Lesota, A.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Lesota, A

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.263304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1432c06f-ce28-4746-965c-000855789be4 · outbound

This paper cites Banerjee, P.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Banerjee, P

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.244114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7f733fe7-07bd-4d01-a6ce-7bfd396d70c6 · outbound

This paper cites Hadziarapovic, M.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Hadziarapovic, M

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.298704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0076066c-b340-4a39-b785-2cf32d109273 · outbound

This paper cites Unger, P.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Unger, P

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.295627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4ff12818-5702-4fcb-988a-fc4503f0bb91 · outbound

This paper cites Value Identification in Multistakeholder Recommender Systems for Humanities and Historical Research: The Case of the Digital Archive Monasterium.net.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Value Identification in Multistakeholder Recommender Systems for Humanities and Historical Research: The Case of the Digital Archive Monasterium.net

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:35:40.902674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b0a4e181-1a39-465b-b6da-54c737a13dc2 · outbound

This paper cites Atzenhofer-Baumgartner, G.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Atzenhofer-Baumgartner, G

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.240419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation caedc886-cb21-4c49-b9db-9a204fe7e2dd · outbound

This paper cites Langer, C.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Langer, C

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.288267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 036846a3-71a7-4176-af5f-50256a60e86b · outbound

This paper cites Rozenblit, A.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Rozenblit, A

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.236821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8bc6cbf9-0148-4085-865c-a1906e04dd5d · outbound

This paper cites Thiebes, F.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Thiebes, F

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.247705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 124f3052-f7b7-4b46-aea5-3db127604da2 · outbound

This paper cites an unresolved cited work.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:21:49.267232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 135215d5-3003-4910-9361-64990a1d1036 · outbound

This paper cites Vente, M.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Vente, M

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.278032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f979812e-2faa-4cc9-aa8f-2a7643d7719f · outbound

This paper cites Di Palma, F.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Di Palma, F

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.225254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6ba40a6f-1d84-425b-91b5-cc6ac1a12b1b · outbound

This paper cites Banerjee, A.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Banerjee, A

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.229328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5c28cd67-0fb2-4d77-957e-3e4868767640 · outbound

This paper cites Sánchez, A.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Sánchez, A

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T05:21:49.232914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a2c86e8a-8ed8-4685-adc5-4480769dea2b · outbound

This paper cites an unresolved cited work.

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-05-26T05:21:49.221173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation c41f8d21-48f9-4e9c-828e-99c95415bfe3 · inbound

From Skill Extraction to Multistakeholder Recommendation: A Two-Stage Framework for Bias Governance in Skills-Based Job Matching cites this paper.

From Skill Extraction to Multistakeholder Recommendation: A Two-Stage Framework for Bias Governance in Skills-Based Job Matching Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T22:34:50.401085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.