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Paper Citation Record · LEDGER

Incentivized Learning in Principal-Agent Bandit Games

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.03811.

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

pith.paper-citation-record.v1
2403.03811 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:53:58.415367Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:03:58.240654Z

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 d717a5c1-c573-4be8-85ab-8b6131661045 · inbound

Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition cites this paper.

Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition Incentivized Learning in Principal-Agent Bandit Games

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:58.415367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:53:58.415367Z digest=sha256:818daaa491f456ad4450670f737760216b93b40e1311712e312ea4f004d7a6f4

Observation 62bd797d-15ec-4e52-ab61-0ffe285344b3 · inbound

Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals cites this paper.

Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals Incentivized Learning in Principal-Agent Bandit Games

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:03:58.299182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:03:57.746639Z digest=sha256:7873d5ef9bb22e55ebfb85b3adb2c784ccc2373670f9d3dc7a0d684d83e0f7eb