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Paper Citation Record · LEDGER

MOPO: Model-based Offline Policy Optimization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2005.13239.

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

pith.paper-citation-record.v1
2005.13239 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:50.991836Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:19:13.383717Z

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 976f7ba9-16ee-42eb-b8b1-8c6851d74870 · inbound

Mastering Atari with Discrete World Models cites this paper.

Mastering Atari with Discrete World Models MOPO: Model-based Offline Policy Optimization

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:27:32.036327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T01:27:31.813680Z digest=sha256:4be742a035b1cf6495d44ed60e6546dae4c39cf29604d6310a70a4bb180a171a

Observation c6d33ad9-2082-4300-ad71-c39e5a9de3fc · inbound

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation cites this paper.

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation MOPO: Model-based Offline Policy Optimization

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-13T08:51:55.947110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T08:51:55.826747Z digest=sha256:a242de16d2427e8efc5aeffff94c66668ef17ef6a93f38e1b73c975f8426c9f5

Observation 502d693a-a891-43e7-bbff-f76c055b7b81 · inbound

FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning cites this paper.

FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning MOPO: Model-based Offline Policy Optimization

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:50.991836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:50.991836Z digest=sha256:b7df436d707e17afe20a4896453e15d4ed79f810998b9771bdd52a9c3746228c

Observation b8017192-acb5-4e81-8fc2-bc4f73ef3ab0 · inbound

Model-free Reinforcement Learning for Model-based Control: Towards Safe, Interpretable and Sample-efficient Agents cites this paper.

Model-free Reinforcement Learning for Model-based Control: Towards Safe, Interpretable and Sample-efficient Agents MOPO: Model-based Offline Policy Optimization

Reference 192

Resolution
unresolved
no resolver link, observed 2026-08-06T16:29:06.221296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:29:06.221296Z digest=sha256:77888c978d98e94ae02e4820d6afdeff26721276a6c9aeb03b777e86e196a025

Observation cf93d61e-21ef-4c72-b842-e954f85b855f · inbound

Safe Deployment of Offline Reinforcement Learning via Input Convex Action Correction cites this paper.

Safe Deployment of Offline Reinforcement Learning via Input Convex Action Correction MOPO: Model-based Offline Policy Optimization

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T11:34:19.560544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:34:19.560544Z digest=sha256:dfc45353057c01eb1ddb1818b53a6019663fcf9cfb49bd5a1de7da50dcb9f0da

Observation 09c7c563-8f98-43d7-aed8-844ec46b3436 · inbound

First Order Model-Based RL through Decoupled Backpropagation cites this paper.

First Order Model-Based RL through Decoupled Backpropagation MOPO: Model-based Offline Policy Optimization

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T13:55:20.185179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:55:20.185179Z digest=sha256:65981ab521bd89c095418b7a48a908d9e89e6a20ed08a8b466e4b26f68cbcde1

Observation 2ef01248-6517-4897-9a2a-cfdf19982fe4 · inbound

Safety, Security, and Cognitive Risks in World Models cites this paper.

Safety, Security, and Cognitive Risks in World Models MOPO: Model-based Offline Policy Optimization

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:38:22.244962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T22:35:46.126714Z digest=sha256:c4ff64c3ebbacd32551e39314d34848614f574b57a9dffcb420d833948cacb2b

Observation 9e5d2f54-7764-47d9-9b27-21ed76e371e8 · inbound

JD-BP: A Joint-Decision Generative Framework for Auto-Bidding and Pricing cites this paper.

JD-BP: A Joint-Decision Generative Framework for Auto-Bidding and Pricing MOPO: Model-based Offline Policy Optimization

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:10:52.071962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:40:01.560145Z digest=sha256:ae9ef0c489594add3f89017d6a6765c61f65c9b5c642836f72f1a609506afded

Observation a37ef13d-974b-49b4-8b1b-c4b75b2e1f17 · inbound

JD-BP: A Joint-Decision Generative Framework for Auto-Bidding and Pricing cites this paper.

JD-BP: A Joint-Decision Generative Framework for Auto-Bidding and Pricing MOPO: Model-based Offline Policy Optimization

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-02T16:46:56.897190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:46:56.897190Z digest=sha256:49209b3affe39b1ec9aff8a459369f0baf722cc9983469100e74db9f8361a9b1

Observation 24142d24-8d96-468f-a9eb-ff23519ffd20 · inbound

Explainable Wastewater Digital Twins: Adaptive Context-Conditioned Structured Simulators with Self-Falsifying Decision Support cites this paper.

Explainable Wastewater Digital Twins: Adaptive Context-Conditioned Structured Simulators with Self-Falsifying Decision Support MOPO: Model-based Offline Policy Optimization

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:03:05.153784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T06:00:38.239171Z digest=sha256:3802808b6cbd54124de9f3f15b024fcec08a253b1e949a26119742a90e3aff60

Observation c0c7d8df-fd93-46a2-9e4b-41b02729228b · inbound

Neuro-Inspired Inverse Learning for Planning and Control cites this paper.

Neuro-Inspired Inverse Learning for Planning and Control MOPO: Model-based Offline Policy Optimization

Reference 112

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:14:53.457020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T16:07:16.957620Z digest=sha256:9963cb21e53b71b631aad3bf777f47875a29e2fa59deaf978ec01b2fde7b1048

Observation 10f9ca40-db27-42cd-92cc-8b150867f331 · inbound

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation cites this paper.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation MOPO: Model-based Offline Policy Optimization

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:19:13.385378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T21:18:07.494794Z digest=sha256:e0b40adf99b7e1870a38b2cd43696a7081210537643663eaf6ed7a66badf7ac6

Observation 9a78598c-f066-49e4-9837-c50e6cd2fa3c · inbound

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation cites this paper.

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation MOPO: Model-based Offline Policy Optimization

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:23:51.382724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:d8f8dca762ad39a69244aed65c5bfe454eb76d2cddd3fd36685af386a867d119

Observation 1da0f5dd-dca6-4f26-b446-faf6326a2534 · inbound

UBP2: Uncertainty-Balanced Preference Planning for Efficient Preference-based Reinforcement Learning cites this paper.

UBP2: Uncertainty-Balanced Preference Planning for Efficient Preference-based Reinforcement Learning MOPO: Model-based Offline Policy Optimization

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:09:15.002060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T21:27:31.026539Z digest=sha256:678feea6a6cb686bbd1007a87fff122acba03c108bfeafdf2a6b2bb7bd9c1f6d

Observation 7c585324-b055-4258-9c5c-04800a5918e5 · inbound

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies cites this paper.

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies MOPO: Model-based Offline Policy Optimization

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:58:05.744741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-03T11:50:49.215046Z digest=sha256:8caacd7e47763bf4661f3fdaa40c0b1d410006aa89c573771ccd919f1cb9b56f

Observation d424cb3f-e2b9-4020-bed4-04c3da6e2cbd · inbound

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies cites this paper.

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies MOPO: Model-based Offline Policy Optimization

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-12T08:26:59.428524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T08:26:59.428524Z digest=sha256:200229d280454f98d7a91d862ada663d9ab3da3b29dc6ad60ddc3c5b2d9af381