Pith. sign in

Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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
  • verified fuzzy32
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:55:45.614353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.878870Z digest=sha256:0c28b899c4975ee10388f1530471fa1f7e4ed0f2386de7889c336892c8724584

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.882944Z digest=sha256:50d0418b09da14ad3317b2c9727cb3cc2d3e3bb7d14f4bf57eae2e9fe01abd6d

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.886629Z digest=sha256:678104aa8794974410c0ac1c29b6b6640ebbeeefb507f0886c4dfabd0e7ea11e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:55:45.582328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.890266Z digest=sha256:ad7fa581ce8c1aa8c716c2175c95cd24e9822229b09dbea5767bdfa11248d280

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.894252Z digest=sha256:9875acf3ecad1fdf28fda7a25835d05b5eb6a7b37c4228623e0145c68aaa6509

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.898871Z digest=sha256:7913c5cbfb0817ea4db29de93381315740f1cc385ccd9dfaea9d5050cb2a31f2

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:55:45.549636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.903361Z digest=sha256:d64359944660c2605afb0ccc9835dc4d6b865109d86a9a683f08ea98a85b1381

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.907203Z digest=sha256:217cac27c7280d48ec5f14741824e69a727d2d0ade5942e61accc93f403faf63

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.910982Z digest=sha256:2b9344177b8ae6855416960c273519281987bb53b884476042561812c3d61033

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

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T04:55:45.150882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.914597Z digest=sha256:01246665128b845fe89938af047c23634d7c89532e76683cd223f302192fe1f3

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.918616Z digest=sha256:e482f90f391ef77dd1b00c59036ba5fa5b00604cc1d191507946f1a27470d171

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.922378Z digest=sha256:035a83e972971e85fe920610001492a24debf3bdf0a567636255ce9d3917ab70

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

Resolution
unresolved
raw_fallback, observed 2026-08-12T04:55:45.490010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.926115Z digest=sha256:5722d9778dd39bbd7c3acb2c63bcf8ba34223027a05343034274e42a612f1419

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.929789Z digest=sha256:d4723206514e47cd68dd445a2e3e6f473f014e1265062b1f71cb4078abd5d317

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.933318Z digest=sha256:ce9aefcf48ec3104b5bbc13ca4c1c52ce8eba1fb1953b229068be043f09c0d2a

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

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T04:55:45.133748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.936728Z digest=sha256:12970490903f368bdeade34511c533806407195a4f045b3866e90400d73549c4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.940518Z digest=sha256:897775a66a4694e749a5c04fe6db8a2217bba7c5e7f858fb38919e320e84d152

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:55:45.444924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.944322Z digest=sha256:9ca2c16368ba720b9e279d95a4c678b80e0116eb99b4cd68d8e8503b5bc9b5da

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:55:45.431252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.949210Z digest=sha256:f590f96fcee54b72aa50c30d3fbfb396a5fc80ff9c44a3b8d7eeb19977fc8aea

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:55:45.418958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.952557Z digest=sha256:a05ba066de5ddd989482eab02e12a8352af8ddf15dd24f273f0872ad9dbd49a2

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

This paper cites an unresolved cited work.

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

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-12T04:55:45.406928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.956380Z digest=sha256:1c4500b0a4896b837e44ccd705dcbc1a551446dad10b7946815670cee1a9c0fb

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.960402Z digest=sha256:f2a47b1289a1bf04209e85dabe0ab27d8cb35f283dd7df930353b78ad2ef1f3b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.963745Z digest=sha256:af990dab877b4233b69df08da324dddf753d801016d40394d5273729e1aa3613

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.967286Z digest=sha256:1d5769be6c35318168d4f22a9fb4f2b1486e21ba8a560236826bb5b5cba1b87d

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

Resolution
unresolved
no resolver link, observed 2026-08-12T04:55:44.970739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:55:44.970739Z digest=sha256:4f99fab4b4dce95234ec0b1fbe8674ca58d9af48efd067280598fe7093182b3d

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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.974748Z digest=sha256:41d592eea310cefbf010cf81d94b4d3d23bbdf8c0fdc4ecb856e331bc30ddfa9

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.978742Z digest=sha256:2a7728ae9de479ecf2789519ba4be9d4ee8c638403f040c5fdcd490433fec1d4

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

Resolution
unresolved
no resolver link, observed 2026-08-12T04:55:44.982287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:55:44.982287Z digest=sha256:ce8bed7d1bd7d6501007234b8ce9bb5a077a5207589516b9171052b668f51165

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.986469Z digest=sha256:b1153a263fcc55840dfc6b4b7392f0f15759d80d680fa21cea521e339fe072b9

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

Resolution
unresolved
no resolver link, observed 2026-08-12T04:55:44.990662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:55:44.990662Z digest=sha256:18d1daf366d4e310c656a5661b0d90fec71f16c5003c86313740914bc5c4ab07

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.994914Z digest=sha256:0f19911d116e7c61a336947af7e324081af62ec52638e3bdfab9401c9e9849d5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:44.998897Z digest=sha256:7a61badea8ff5f5b90f3565bbbe6db37393f38cf57c7755c75cc434860c18289

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:45.002720Z digest=sha256:6a804d1a37a22f9e17a1471fcdd6d40e6a2d22477e0b88f541c82199215bef47

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:45.006426Z digest=sha256:4b12f19b088cdcd40a146cfcbbd96079051c3207ae8b6d0850a4c80eb2809e3c

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

Resolution
unresolved
no resolver link, observed 2026-08-12T04:55:45.011359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:55:45.011359Z digest=sha256:97ad798f2f8a84ba4f213d7ce838d613348b405b64d7b1048438742ea5456f64

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:55:45.015987Z digest=sha256:7ba66d1c8b5b95395c27ca203de2c1aa198c9bd9ebe28ec31b7df32c35596724

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:45.019309Z digest=sha256:4448e24bef84e4b5d7a7fb53dd0e09ea5d6f4b229cd478018c63f0aa5a39d543

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:45.022861Z digest=sha256:77b8d853ebe3e9f54b8b58d5266f66e6f3371009614433d9e87eabaf96f1a6f2

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

Resolution
unresolved
raw_fallback, observed 2026-08-12T04:55:45.247719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:45.026589Z digest=sha256:4121f7725e89326b2dc8f2727ebe2a41736c54c6b598987c82f2b7facd30414d

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:45.030514Z digest=sha256:99ea662e9e8675c4502572b4cc0448f10759139d97017478609a53712f7f06c1

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

Resolution
unresolved
raw_fallback, observed 2026-08-12T04:55:45.224525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:45.034423Z digest=sha256:972de0431e0e8beae392ab0296ad93ce9836caf96492cbc16ce6830993c445e7

Observation f49994b4-f229-49ef-bdd4-c0f4200315f1 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:45.038373Z digest=sha256:5ffa2011f09aa015f653ef9da63e04f819cd5e5da9edab3fc78a32e9b4c43fb2

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:45.042515Z digest=sha256:7a9df609308560a84e66963142d150f9d7b4b60a9f01b3cfb053e8ab586ce868

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:45.046989Z digest=sha256:9fb4ad35dfde007b293a5c866cca2abdeacb084e17ad5fd357fb775930e436ef

Observation 056b009e-60c5-4134-a68a-b76fef06dfe4 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:45.050963Z digest=sha256:4e28a8f78d9b9f3f1d5675c210fe76a03e926745b5ef8c181ad77453bebfd9de

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:55:45.054966Z digest=sha256:dbed7fbc32dfe21c48b54b6c341dc0abdc90b2452f1c37f6aa52812ba943f460

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-05T22:45:50.032492Z digest=sha256:a283eacc34fe72b2f8f90edcc638ef3b4894e98c217c921786c04ad8a92b19e9