Paper Citation Record · LEDGER

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2202.11566.

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

pith.paper-citation-record.v1
2202.11566 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:14:13.031140Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T19:35:03.962967Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 426821e6-a2a3-4417-8b55-ab3aa0cc3396 · inbound

Offline Learning for Combinatorial Multi-armed Bandits cites this paper.

Offline Learning for Combinatorial Multi-armed Bandits Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-09T20:45:51.230499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d56868cc-236e-425d-9622-a235eedb9382 · inbound

VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning cites this paper.

VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:35:03.964814Z

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 a108c1bd-fc75-4d58-962b-1efcda500453 · inbound

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning cites this paper.

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-16T04:14:13.031140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e614c14e-8003-4cc3-a08d-0ac9dc9f223a · inbound

Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL cites this paper.

Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:45.120978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f669e893-c37a-4c18-aedb-6dc3c9e72cc4 · inbound

Decision Flow Policy Optimization cites this paper.

Decision Flow Policy Optimization Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:36.145203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fc1e53c-519f-4b0e-996e-c04cbfd6fe86 · inbound

ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning cites this paper.

ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:55:49.886568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2474643-d956-48e9-86cf-1c7e7519af7a · inbound

QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL cites this paper.

QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:30:58.119396Z

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 399cc92b-03c4-41fc-b216-3305bd4f4f3c · inbound

Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement Learning cites this paper.

Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement Learning Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:41:50.382783Z

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 4fcd855e-68aa-4d55-ab2e-2a862282c663 · inbound

Collaborative Weighting with Pessimistic Critic for Mitigating Overestimation in Off-Policy Reinforcement Learning cites this paper.

Collaborative Weighting with Pessimistic Critic for Mitigating Overestimation in Off-Policy Reinforcement Learning Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T14:19:58.893464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 696ef70c-8b71-4367-9178-dd94e4265308 · inbound

Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation cites this paper.

Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T12:41:26.352943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.