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Paper Citation Record · LEDGER

Blending Imitation and Reinforcement Learning for Robust Policy Improvement

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.01737.

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

pith.paper-citation-record.v1
2310.01737 v3

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:29:10.651020Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:17:08.607990Z

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 45814632-f5bc-4067-a44e-6ebf4a9eda45 · inbound

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization cites this paper.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Blending Imitation and Reinforcement Learning for Robust Policy Improvement

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T13:29:10.651020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:29:10.651020Z digest=sha256:9b1f6d26716fb26d027daa1203db5b196d51350ab5f65b404a2c0111c402e2e4

Observation 997ce82f-7f9e-4777-b735-8035e029b125 · inbound

DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References cites this paper.

DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References Blending Imitation and Reinforcement Learning for Robust Policy Improvement

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T20:56:47.349036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:56:47.349036Z digest=sha256:6214edae0db022a20c12cce244c035ce489d851a78bad5b6eb5ea5afd547ac58

Observation 796ae6af-1d23-4b1b-a691-c240f449ed02 · inbound

Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving cites this paper.

Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving Blending Imitation and Reinforcement Learning for Robust Policy Improvement

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:59:59.536662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T11:56:40.836234Z digest=sha256:541a7d7b906fddff355fba3bea1ec4b0d8900285c8f10f7e80b0aae758f6da1f

Observation c2624861-b1b6-4054-b89c-5a6fd485f7fa · inbound

Active-GRPO: Adaptive Imitation and Self-Improving Reasoning for Molecular Optimization cites this paper.

Active-GRPO: Adaptive Imitation and Self-Improving Reasoning for Molecular Optimization Blending Imitation and Reinforcement Learning for Robust Policy Improvement

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:17:08.609618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-02T16:07:49.362916Z digest=sha256:db4b8fa34a8fcacfe5c1211536973d817a3b4d74c9d87b133e9d72301861568e