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Paper Citation Record · LEDGER

Risk-Averse Offline Reinforcement Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2102.05371.

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

pith.paper-citation-record.v1
2102.05371 v1

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 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:42:58.392711Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:47:31.640170Z

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 ae7feb3d-cf74-45cc-9a8f-b91b17477862 · inbound

Distributional Inverse Reinforcement Learning cites this paper.

Distributional Inverse Reinforcement Learning Risk-Averse Offline Reinforcement Learning

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-04T12:42:58.392711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:42:58.392711Z digest=sha256:4166c961119ae4f93d025537efaf9477d8f2c7970e8195a630c00662605b379b

Observation daadc186-9b29-413b-bd8f-02cdf141f8c4 · inbound

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning cites this paper.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Risk-Averse Offline Reinforcement Learning

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:56:00.610765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T16:25:25.739019Z digest=sha256:b9537176779db3b2e235fbb1d8bb3e383b0cce433aba9dbcabf93435fc0aefde

Observation ab4ce17b-2fc2-4bbd-8812-864542ffefe3 · inbound

MASK: Multi-Agent Semantic K-Scheduling for Risk-Sensitive 6G Robotics cites this paper.

MASK: Multi-Agent Semantic K-Scheduling for Risk-Sensitive 6G Robotics Risk-Averse Offline Reinforcement Learning

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T01:47:31.641891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T16:18:09.604549Z digest=sha256:f0d573ea8ce6c357f0e39e748830068fd40abf54a238713f50bba009bcd2ce24

Observation 974876a1-4367-40cf-be29-f964a6b80754 · inbound

RS-Diffuser: Risk-Sensitive Diffusion Planning with Distributional Value Guidance cites this paper.

RS-Diffuser: Risk-Sensitive Diffusion Planning with Distributional Value Guidance Risk-Averse Offline Reinforcement Learning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:23:51.475599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-29T05:05:39.828659Z digest=sha256:2cf14082d18e161dd794e5abbd391d69e2dfb9a737c60b0908c3ad6924706dfe