Pith. sign in

Paper Citation Record · LEDGER

Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2103.04021.

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

pith.paper-citation-record.v1
2103.04021 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:54:14.457368Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:57:03.345557Z

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 0e270572-5815-4174-bd97-59858a67f107 · inbound

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning cites this paper.

Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T20:26:49.232155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:26:49.232155Z digest=sha256:6ae5f07ae6f58553f1bbe0b4c034b6ee4922ce6143526aa58895410862cbaf3c

Observation 14bd91e6-4c14-4b02-9245-b2dc72627b3f · inbound

Reinforcement Learning with Continuous Actions Under Unmeasured Confounding cites this paper.

Reinforcement Learning with Continuous Actions Under Unmeasured Confounding Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T04:54:14.457368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:54:14.457368Z digest=sha256:66141559b74a7aeb8baa1b81d1545c857158951fccc79be44a4f22e923037096

Observation 6189ce43-2901-429d-b8c9-85201479fe75 · inbound

Causality-informed Anomaly Detection in Partially Observable Sensor Networks: Moving beyond Correlations cites this paper.

Causality-informed Anomaly Detection in Partially Observable Sensor Networks: Moving beyond Correlations Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:57:03.357845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T17:56:59.619466Z digest=sha256:cbd2ea182f8c7025201d097caf40c581fa1931c6a8129c5dbcedee3800d07b9c