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Paper Citation Record · LEDGER

Offline Reinforcement Learning with Fisher Divergence Critic Regularization

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.08050.

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

pith.paper-citation-record.v1
2103.08050 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:01:30.763300Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T15:35:10.940163Z

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 2efcb5ac-af78-41d8-8814-bfdcb59efcf1 · inbound

Is Conditional Generative Modeling all you need for Decision-Making? cites this paper.

Is Conditional Generative Modeling all you need for Decision-Making? Offline Reinforcement Learning with Fisher Divergence Critic Regularization

Reference 255

Resolution
verified exact
arxiv_id, observed 2026-05-15T15:35:10.943347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T15:35:10.593969Z digest=sha256:8bf02abd8e2be5d79c465908e298dfc4416de47b63f7a5c14b5ad70ca0ff34d0

Observation 12f3aa42-cfc7-4cde-bf2a-ed324aeeb224 · inbound

Value Flows cites this paper.

Value Flows Offline Reinforcement Learning with Fisher Divergence Critic Regularization

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-04T11:01:30.763300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:01:30.763300Z digest=sha256:ec4b2ae27243cc85e3583d24be5c615d15c2f694dd1f28a57e2951a9cf3f70d7