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Paper Citation Record · LEDGER

State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2102.11941.

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

pith.paper-citation-record.v1
2102.11941 v2

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 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:49:28.755578Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T12:40:45.923824Z

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 e5e4fd73-681f-4d25-8067-da8a5f2ce359 · inbound

Operator Splitting for Convex Constrained Markov Decision Processes cites this paper.

Operator Splitting for Convex Constrained Markov Decision Processes State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-11T12:40:45.928287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T12:40:45.571142Z digest=sha256:9113dd5aaf596268d5eee437a46a91a19e62f809ddf86a0e2ef083c003c288c0

Observation 8e48dd8d-a88f-473c-b4af-1036defc733b · inbound

Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression cites this paper.

Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T18:49:28.755578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:28.755578Z digest=sha256:d70eaad83de10f5dd48a58746076d8e2b4ffbc4dc9caa632556379763973f3f6

Observation a55c1d69-749e-47e5-ad55-d77e4a5d6366 · inbound

Long-Horizon Wireless Link Scheduling with State-Augmented Graph Neural Networks cites this paper.

Long-Horizon Wireless Link Scheduling with State-Augmented Graph Neural Networks State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T15:24:38.191162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:24:38.191162Z digest=sha256:0b70decde556c3eb077c24c31f53875ea9af3543b07cc80e43c92dc8982bb643