Pith. sign in

Paper Citation Record · LEDGER

MOReL : Model-Based Offline Reinforcement Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2005.05951.

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

pith.paper-citation-record.v1
2005.05951 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:47:41.235096Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:19:13.368103Z

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 2e8276f3-c0d7-4ec7-ae12-5f89d65ff4ed · inbound

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems cites this paper.

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems MOReL : Model-Based Offline Reinforcement Learning

Reference 237

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:33:21.261148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-11T11:33:20.892688Z digest=sha256:11cd9656367e27401c5cd0ae3f4fec50d1eb417fa1e129b4888334c3e3ba5ddc

Observation a65afdb5-fb62-4853-9f6b-d988d6273344 · 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 MOReL : Model-Based Offline Reinforcement Learning

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-13T08:51:55.943236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T08:51:55.826747Z digest=sha256:7ceea2e7258a7f57095a13cb17532842d275df4388f5fa5e7433eea423772720

Observation 1ec8c519-2b1b-4a92-89dd-9ece8c9411a9 · inbound

Iterative Batch Reinforcement Learning via Safe Diversified Model-based Policy Search cites this paper.

Iterative Batch Reinforcement Learning via Safe Diversified Model-based Policy Search MOReL : Model-Based Offline Reinforcement Learning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T20:47:41.235096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:47:41.235096Z digest=sha256:31c381339a842f0883d69c29379088dd2648d0f5f75105ad64cfc109f321325d

Observation 2c1f07c2-7af3-4dc1-9cd2-473c37874a89 · inbound

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

Safety, Security, and Cognitive Risks in World Models MOReL : Model-Based Offline Reinforcement Learning

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:38:22.260370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T22:35:46.126714Z digest=sha256:c7f5a867b93825735c1dec1bc4fc55c22382f7c75b66219e351bb271f1510c7c

Observation 1368454b-7349-40a3-b617-588317475772 · inbound

Learning to Theorize the World from Observation cites this paper.

Learning to Theorize the World from Observation MOReL : Model-Based Offline Reinforcement Learning

Reference 78

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:21:29.586465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-07T17:15:43.429602Z digest=sha256:505960c892a7291a7117ddf9138a747de408d9ae2c429158992f6bed0892f388

Observation 5df106ba-df71-45f1-a920-9ff9ad7104c7 · 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 MOReL : Model-Based Offline Reinforcement Learning

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:19:13.369846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T21:18:07.494794Z digest=sha256:c1b80610092c9fa84ba0a5a5981189000b71ce07ee5b73bc710af714f67b29da

Observation 190a053d-cf96-463e-91ef-d47a53361bac · 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 MOReL : Model-Based Offline Reinforcement Learning

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:23:51.380132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T05:06:30.594399Z digest=sha256:24310667650578b9d708dcc65d95964c5068ec8f7f67f45e99f5703cf2e6cd4e

Observation 0e22de98-d18e-4e5d-a8f3-9a0cbab207c7 · 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 MOReL : Model-Based Offline Reinforcement Learning

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:09:14.885388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T21:27:31.026539Z digest=sha256:a66bec8a9870eb25fead11cc596d14d697e08f1263d3e96aa46af1735e35821f