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Paper Citation Record · LEDGER

EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.15164.

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

pith.paper-citation-record.v1
2402.15164 v3

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:39:56.544042Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a68895ad-9132-4ba1-8256-505a6c21bd78 · inbound

Large Language Model driven Policy Exploration for Recommender Systems cites this paper.

Large Language Model driven Policy Exploration for Recommender Systems EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T15:39:56.544042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:39:56.544042Z digest=sha256:89109efcdf9b076e98357e05e0170adfbedd16c52dbaefc517e9402df64640b2

Observation 0546a750-096f-412b-b9fc-c227f023c185 · inbound

FlowTime: Towards Continuous Generative Watch Time Prediction via Flow-based Personalized Priors cites this paper.

FlowTime: Towards Continuous Generative Watch Time Prediction via Flow-based Personalized Priors EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-06-28T17:12:24.097803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T17:10:10.936024Z digest=sha256:92889a41b8c63d6d1e092fa00e09f9250f4d48196ce82c625165a5dc157c0f04