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Paper Citation Record · LEDGER

Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.15587.

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

pith.paper-citation-record.v1
2106.15587 v2

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:22:28.994652Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:46:03.418101Z

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 9050406b-4c85-4912-ab30-6fd5499245ce · inbound

LLM Bandit: Cost-Efficient LLM Generation via Preference-Conditioned Dynamic Routing cites this paper.

LLM Bandit: Cost-Efficient LLM Generation via Preference-Conditioned Dynamic Routing Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-09T11:22:28.994652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:22:28.994652Z digest=sha256:967df411d2a9c6d30800a1433b26cc6c6433cfb4db590601466e35a29d138f91

Observation ea991915-d6c7-4e22-a76d-27ddd1176e20 · inbound

LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning cites this paper.

LLM-Driven Policy Diffusion: Enhancing Generalization in Offline Reinforcement Learning Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:46:03.459519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T13:46:03.192637Z digest=sha256:91eb050079ac155107aaa644b7351fefbfb3a6e163849c3e4041f1628c04955e