Paper Citation Record · LEDGER

Blending MPC & Value Function Approximation for Efficient Reinforcement Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2012.05909.

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

pith.paper-citation-record.v1
2012.05909 v2

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 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:40:19.955005Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:00:06.252923Z

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 32a6123b-57f1-4c17-a164-c6a99acf5243 · inbound

Dynamic Non-Prehensile Object Transport via Model-Predictive Reinforcement Learning cites this paper.

Dynamic Non-Prehensile Object Transport via Model-Predictive Reinforcement Learning Blending MPC & Value Function Approximation for Efficient Reinforcement Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T11:40:19.955005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c06e1088-12c5-45ca-98b4-f21f0ac7a269 · inbound

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms cites this paper.

RT-HCP: Dealing with Inference Delays and Sample Efficiency to Learn Directly on Robotic Platforms Blending MPC & Value Function Approximation for Efficient Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T23:17:52.963414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0374d4f-b61d-47d8-a87f-2ba1770a2d91 · inbound

MODIP: Efficient Model-Based Optimization for Diffusion Policies cites this paper.

MODIP: Efficient Model-Based Optimization for Diffusion Policies Blending MPC & Value Function Approximation for Efficient Reinforcement Learning

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:37:37.555572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation efc0843b-b95c-44d9-b03c-958abd52932b · inbound

Solving Markov Decision Processes with Future Information via MPC cites this paper.

Solving Markov Decision Processes with Future Information via MPC Blending MPC & Value Function Approximation for Efficient Reinforcement Learning

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:00:06.254484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.