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Paper Citation Record · LEDGER

Distributionally Robust Policy Learning via Adversarial Environment Generation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2107.06353.

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

pith.paper-citation-record.v1
2107.06353 v6

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T08:43:20.695724Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T07:52:43.835608Z

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 369cd166-c90d-438c-838f-bd3eeb8d4231 · inbound

RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential Fields cites this paper.

RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential Fields Distributionally Robust Policy Learning via Adversarial Environment Generation

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:52:43.838704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-23T07:49:37.878395Z digest=sha256:fa8f4a689526f4c2fc22ab7fe09762599b29ecb1770d119da0a31314bb1ab8b3

Observation 448cef79-e40b-415f-b7d6-e766401a432d · inbound

Generative Distributionally Robust Optimization cites this paper.

Generative Distributionally Robust Optimization Distributionally Robust Policy Learning via Adversarial Environment Generation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.695724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.695724Z digest=sha256:b4e1e7e735f24abc3f4902c313b3a1185818c43119747029c55aa98ae3843887