Paper Citation Record · LEDGER

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach

As of 21 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2412.01864.

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

pith.paper-citation-record.v1
2412.01864 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:55:45.054966Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:45:50.032492Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:45:50.225057Z

Reference resolution

46 of 46 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 37469a58-a83c-4383-bb9d-644fdbf64a46 · outbound

This paper cites Advances in Neural Information Processing Systems 34, 8006–8017 (2021).

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Advances in Neural Information Processing Systems 34, 8006–8017 (2021)

Reference 1

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Observation f2dd6723-c887-4ffa-8a03-479cc6efc3bc · outbound

This paper cites In: Pathways Between Social Science and Computational Social Science, pp.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach In: Pathways Between Social Science and Computational Social Science, pp

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.603843Z

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Observation cc501b4b-b92b-47af-879b-0a974e793edd · outbound

This paper cites In: IJCAI, pp.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach In: IJCAI, pp

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.592909Z

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Observation 8671a6dc-79f0-4ce0-b537-f58c7f7d2f8a · outbound

This paper cites Environment and urbanization 16(1), 27–46 (2004).

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Environment and urbanization 16(1), 27–46 (2004)

Reference 4

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Observation 3d076228-3ce2-4c5d-a8d7-1ad33980808d · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.571556Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7638356a-739a-436d-aa04-8239790a2c2f · outbound

This paper cites American Political Sci- ence Review 77(3), 718–733 (1983).

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach American Political Sci- ence Review 77(3), 718–733 (1983)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.560979Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 393476b3-fa40-42e5-848c-abd549330507 · outbound

This paper cites In: Twenty-Ninth AAAI Conference on Artificial Intelligence (2015).

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach In: Twenty-Ninth AAAI Conference on Artificial Intelligence (2015)

Reference 7

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation de3ab19a-ff9b-42c1-a95e-233b4efe761b · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.537926Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6346f7ad-21e8-4b0d-91ec-e74017bc0329 · outbound

This paper cites CUP Archive (1984).

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach CUP Archive (1984)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.526039Z

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Observation dfdcdef8-534d-45d1-8c9a-84fcca16841b · outbound

This paper cites Proportional Participatory Budgeting with Projects Interaction.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Proportional Participatory Budgeting with Projects Interaction

Reference 10

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Observation 369fbdcc-195a-4e01-8661-edd2e41e2142 · outbound

This paper cites representation in participatory budgeting.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach representation in participatory budgeting

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.513580Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 26777246-672b-47db-85ac-452de7d93d27 · outbound

This paper cites Collective Decisions: Theory, Algorithms And Decision Support Systems pp.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Collective Decisions: Theory, Algorithms And Decision Support Systems pp

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.501741Z

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Observation 155cb53e-961e-4e6b-9927-544afa9d49e0 · outbound

This paper cites an unresolved cited work.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Unresolved cited work

Reference 13

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Observation adf1c176-d0be-47a4-ae6f-2e6d5f46cfad · outbound

This paper cites In: Companion of the 2024 on ACM Inter- national Joint Conference on Pervasive and Ubiquitous Computing, pp.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach In: Companion of the 2024 on ACM Inter- national Joint Conference on Pervasive and Ubiquitous Computing, pp

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.479132Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9055b8e4-f18d-4dc1-aee7-399ee2f28a74 · outbound

This paper cites In: Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI), pp.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach In: Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI), pp

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.468211Z

Source-reported events for the cited work

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Observation c78a4fc0-cf15-4057-b248-c918bfff123a · outbound

This paper cites Ties in Multiwinner Approval Voting.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Ties in Multiwinner Approval Voting

Reference 16

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Observation 6059edd2-9038-4061-b1e7-aff8ea2742fc · outbound

This paper cites In: 2016 3rd International Conference on Systems and Informatics (ICSAI), pp.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach In: 2016 3rd International Conference on Systems and Informatics (ICSAI), pp

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.456628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5ec5afa7-95f7-445e-bdd6-c3a6f365c41b · outbound

This paper cites In: Multi-Agent Systems and Agreement Technologies, pp.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach In: Multi-Agent Systems and Agreement Technologies, pp

Reference 18

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Observation 3c0a7d01-565a-4981-a72d-a0a6b292b74b · outbound

This paper cites In: Inter- national conference on machine learning, pp.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach In: Inter- national conference on machine learning, pp

Reference 19

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Observation cd3f5d0e-3753-41f0-9b31-9c24bfe61e0a · outbound

This paper cites Social Choice and Welfare pp.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Social Choice and Welfare pp

Reference 20

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Observation 08b78adc-d821-4b3e-a5af-79fb7153a5b3 · outbound

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Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Unresolved cited work

Reference 21

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Observation a5afe2d1-e898-4aa2-a97d-687fafe3dea6 · outbound

This paper cites Advances in Neural Information Processing Systems 34, 12726–12737 (2021).

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Advances in Neural Information Processing Systems 34, 12726–12737 (2021)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.395190Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 738685d4-6c1c-46b8-86c6-28d4579d60c5 · outbound

This paper cites Advances in Neural Information Processing Systems 33, 1525–1534 (2020).

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Advances in Neural Information Processing Systems 33, 1525–1534 (2020)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.383551Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7454d375-0363-4d4c-b3a1-e6b80124b26c · outbound

This paper cites Artificial Intelligence 173(12-13), 1133–1149 (2009).

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Artificial Intelligence 173(12-13), 1133–1149 (2009)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.372267Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c01de491-8210-4205-af9d-0a0d464f0ac9 · outbound

This paper cites The (Computational) Social Choice Take on Indivisible Participatory Budgeting.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach The (Computational) Social Choice Take on Indivisible Participatory Budgeting

Reference 25

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Source-reported events for the cited work

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Observation d95412f7-a1ef-486f-a013-a68fbc35a0a4 · outbound

This paper cites Information Processing Letters 42(3), 173–177 (1992).

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Information Processing Letters 42(3), 173–177 (1992)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.361191Z

Source-reported events for the cited work

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Observation 3a1dc7a6-dcbf-4f82-8e07-2bf7c35fda8e · outbound

This paper cites IEEE transactions on neural networks 20(1), 61–80 (2008).

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach IEEE transactions on neural networks 20(1), 61–80 (2008)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.349291Z

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Observation e46a95a9-718c-49c6-9406-27b8999ca5fa · outbound

This paper cites Participatory Budgeting with Cumulative Votes.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Participatory Budgeting with Cumulative Votes

Reference 28

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Observation 7e7333fc-7890-4208-8588-9d07a33f9914 · outbound

This paper cites New Political Science 36(2), 193–218 (2014).

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach New Political Science 36(2), 193–218 (2014)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.335994Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6cf86b04-da2f-4b23-ae06-694fbf137368 · outbound

This paper cites Pabulib: A Participatory Budgeting Library.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Pabulib: A Participatory Budgeting Library

Reference 30

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Source-reported events for the cited work

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Observation 35bb86ff-ec10-46df-9b26-9092cbfaf656 · outbound

This paper cites New Political Science 39(1), 67–75 (2017).

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach New Political Science 39(1), 67–75 (2017)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.324113Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fa1ef0ae-2a13-45d2-b389-072a386b6529 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.311673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3915c606-3de1-4db0-b914-4770449d1a54 · outbound

This paper cites Wireless Communications and Mobile Computing 2022 (2022).

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Wireless Communications and Mobile Computing 2022 (2022)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.299894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4f1b869b-c49f-4555-9016-1027bdedb469 · outbound

This paper cites 884–885 (2021).

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach 884–885 (2021)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.288241Z

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Observation 39687371-67d6-4f0a-8e70-6e4cdc9a755c · outbound

This paper cites How Powerful are Graph Neural Networks?.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach How Powerful are Graph Neural Networks?

Reference 35

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Observation 7a314682-04b1-4b59-92c8-145fd730e301 · outbound

This paper cites Advances in neural information processing systems 30 (2017).

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Advances in neural information processing systems 30 (2017)

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T04:55:45.015987Z

Source-reported events for the cited work

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Observation 4f00af0c-3df7-4d3c-9d58-ec5943a7e5e8 · outbound

This paper cites In: 2017 Conference for E-Democracy and Open Government (CeDEM), pp.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach In: 2017 Conference for E-Democracy and Open Government (CeDEM), pp

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.270226Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4efde00c-53bd-46ef-9418-1b3a25471e52 · outbound

This paper cites an unresolved cited work.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:55:45.259121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 96f341e0-a52c-4717-8ace-325dfd574085 · outbound

This paper cites an unresolved cited work.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Unresolved cited work

Reference 39

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Observation 53b20418-85e8-477d-bae3-cbf3ae169bc7 · outbound

This paper cites an unresolved cited work.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:55:45.236170Z

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Observation b00cb93e-85a8-490f-92aa-cc854654bd6f · outbound

This paper cites an unresolved cited work.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Unresolved cited work

Reference 41

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This paper cites V oters and projects coordinates Two types of distributions were chosen to simulate different situations (each instance have equal probability to be from each distribution):.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach V oters and projects coordinates Two types of distributions were chosen to simulate different situations (each instance have equal probability to be from each distribution):

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.212027Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 39ea0185-13e6-40d6-bd4f-9642da2f5da8 · outbound

This paper cites an unresolved cited work.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:55:45.199566Z

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Observation 93dbed75-f089-4443-ba25-06a466f08444 · outbound

This paper cites Notice that that any combinations for the voters and projects is valid,e.g.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Notice that that any combinations for the voters and projects is valid,e.g

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.187904Z

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This paper cites Title Suppressed Due to Excessive Length 21.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach Title Suppressed Due to Excessive Length 21

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.175298Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation af84196f-219c-4a52-84e3-e358b4446531 · outbound

This paper cites In the instance creating, each voter approve the kv projects that are the closest to his location.

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach In the instance creating, each voter approve the kv projects that are the closest to his location

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:55:45.163182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 5cd6622a-8cdc-4599-8971-937e962b9fe5 · inbound

What Voting Rules Actually Do: A Data-Driven Analysis of Multi-Winner Voting cites this paper.

What Voting Rules Actually Do: A Data-Driven Analysis of Multi-Winner Voting Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:45:50.229950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.