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Paper Citation Record · LEDGER

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:20:36.145203Z

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

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  • verified fuzzy0
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  • malformed identifier0
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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 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T19:34:33.263674Z digest=sha256:df7162dd9af07567a74503ec6487ede3b34704bf88e4cc4dd495353b91709f46

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.

source=pdf_text observed=2026-08-07T14:14:45.120978Z digest=sha256:fd8d878e6531f424ac0e3296c45004773afec5192e2c86b7ddad2f0bd08d58b7

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.

source=pdf_text observed=2026-08-07T14:20:36.145203Z digest=sha256:c4510582d2422bd00db055ea17db438f33bec367bea53d12022a78977056e387

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.

source=pdf_text observed=2026-08-07T12:55:49.886568Z digest=sha256:e8ec28fce6d519b32eb5ae2c4b7c8a9c05b10daf1c4587306d55c2ee52e7e1f9

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T01:17:48.643521Z digest=sha256:a2c578bcc4f31feee9b276751de520832fa8f512e42716238aeaaf9696f58df8

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T02:17:25.783688Z digest=sha256:febdc073b666166ea7b217b7021d1260db8f6a5eb246963106e53271e4c8c557

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.

source=pdf_text observed=2026-08-01T14:19:58.893464Z digest=sha256:3bae4ef108d17bac865a1bb4a2f8916c60cd2abf05a7a29be7b9351504cef035

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.

source=pdf_text observed=2026-08-01T12:41:26.352943Z digest=sha256:1619ea5184891f712331cec8705bc0f268be506e79f073696a1e26d42fa15e4b