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Paper Citation Record · LEDGER

Contracting With a Reinforcement Learning Agent by Playing Trick or Treat

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.13520.

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

pith.paper-citation-record.v1
2410.13520 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:43:25.910417Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T09:18:31.670737Z

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 0bf2ae70-93f1-4ed1-b8c1-22f67097799d · inbound

Algorithmic Contract Theory: A Survey cites this paper.

Algorithmic Contract Theory: A Survey Contracting With a Reinforcement Learning Agent by Playing Trick or Treat

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-11T10:43:25.910417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:43:25.910417Z digest=sha256:c695c269b2b798a89ffba9cbb884924fa7da92ffe7caa7a8e0809cef93dd93b0

Observation 074878bf-14ba-4eac-9c30-d15e037bf97d · inbound

The Power of Information for Intermediate States in Contract Design cites this paper.

The Power of Information for Intermediate States in Contract Design Contracting With a Reinforcement Learning Agent by Playing Trick or Treat

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:18:31.672708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T08:03:47.774614Z digest=sha256:c0b8eef63834e628ccc62f1ba8bd9df168d474ce7f8dc039094996691439668e