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Paper Citation Record · LEDGER

Objective Mismatch in Model-based Reinforcement Learning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2002.04523.

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

pith.paper-citation-record.v1
2002.04523 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:28:44.869965Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T10:34:36.468758Z

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 e832b5b3-2826-4730-99f8-90621918d39e · inbound

Policy-shaped prediction: avoiding distractions in model-based reinforcement learning cites this paper.

Policy-shaped prediction: avoiding distractions in model-based reinforcement learning Objective Mismatch in Model-based Reinforcement Learning

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-11T20:28:44.869965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:28:44.869965Z digest=sha256:0f46a3037e8523910aea8bd89f21f5e817c0dac842453f9e3faa3f2aacfd8f61

Observation ca2da1fb-b1eb-40b7-8637-eaca30cb2d68 · inbound

SimuDICE: Offline Policy Optimization Through World Model Updates and DICE Estimation cites this paper.

SimuDICE: Offline Policy Optimization Through World Model Updates and DICE Estimation Objective Mismatch in Model-based Reinforcement Learning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T19:42:10.295272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:42:10.295272Z digest=sha256:b37f71c862e4cc276330beb3d2e1ebe237707580f19c5f5134229969d75475c3

Observation 06fb74af-b16b-4b69-bd5e-da71dc261ac6 · inbound

How Should World Models Be Evaluated for Embodied Decision-Making? A Decision-Making-Centric Position cites this paper.

How Should World Models Be Evaluated for Embodied Decision-Making? A Decision-Making-Centric Position Objective Mismatch in Model-based Reinforcement Learning

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:34:36.470152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T10:31:37.108792Z digest=sha256:9bdd55837d02ee3d30c279a957e06f0ee09dfff9ec2314e529c9deb224400f41

Observation 8dfa4569-5f99-4803-818f-ae431aab7089 · inbound

When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models cites this paper.

When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models Objective Mismatch in Model-based Reinforcement Learning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T04:49:51.783589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T04:49:51.783589Z digest=sha256:3862bc1b5da5b7f759da2dbb31be43d558de5bbf6ebac5037f1c8069445d0205