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Paper Citation Record · LEDGER

Online Learning in a Creator Economy

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.11381.

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

pith.paper-citation-record.v1
2305.11381 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 2026-08-11T10:53:10.815652Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:55:58.979980Z

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 abcac524-75f0-441a-bbeb-b4a056186cc8 · inbound

Principal-Agent Bandit Games with Self-Interested and Exploratory Learning Agents cites this paper.

Principal-Agent Bandit Games with Self-Interested and Exploratory Learning Agents Online Learning in a Creator Economy

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T10:53:10.815652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T10:53:10.815652Z digest=sha256:b0c89b7cf9e89c372ccb66f2b14d5fdd6075b55d5fb30cad12c88f7a7b29f429

Observation 0a81e6a0-9798-4c1e-a38b-86746715e267 · inbound

Creator Incentives in Recommender Systems: A Cooperative Game-Theoretic Approach for Stable and Fair Collaboration in Multi-Agent Bandits cites this paper.

Creator Incentives in Recommender Systems: A Cooperative Game-Theoretic Approach for Stable and Fair Collaboration in Multi-Agent Bandits Online Learning in a Creator Economy

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:55:58.991352Z

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=2026-05-10T17:52:39.496504Z digest=sha256:dc955edd91f43dd06af24dd905beeca2e438f6c1b08ef7a9e6128e008d124509