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Paper Citation Record · LEDGER

Objective Mismatch in Model-based Reinforcement Learning

As of 13 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 2026-08-13T06:32:02.005865+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=sha256:99d7e40effd586fb2f38261e3d5a2cd02871701dce03c4baf81a27f3e1a00f05

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:c7d0836d828b8c988c26cbb7f59c50e6de81163ece896f3ff8f23c9ef0eb2529

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-30T10:31:37.108792Z digest=sha256:fab3560ab473b083752274e61b50e84fd1716f316c68e5e1b74ea2897c5db969

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=sha256:9acd9a1eb573b895fd670206b153a7a9d74d15fa51f15d20db907429eadbf97d