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Paper Citation Record · LEDGER

Pabulib: A Participatory Budgeting Library

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2012.06539.

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

pith.paper-citation-record.v1
2012.06539 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:55:44.990662Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:54:15.454954Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach cites this paper.

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 06a0d87a-c012-448f-a9b5-0ca8b72bb497 · inbound

Fair Compromises in Participatory Budgeting: a Multi-Agent Deep Reinforcement Learning Approach cites this paper.

Fair Compromises in Participatory Budgeting: a Multi-Agent Deep Reinforcement Learning Approach Pabulib: A Participatory Budgeting Library

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:54:15.554753Z

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=2026-08-06T14:54:14.932330Z digest=sha256:62575be6246b838e0d3754ecae131249c0af3f9aea342489a2f1c31e923ad1d6