Paper Citation Record · LEDGER

Predictive Lagrangian Optimization for Constrained Reinforcement Learning

As of 12 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2501.15217.

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

pith.paper-citation-record.v1
2501.15217 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:36:11.220159Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy13
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a851b8a-4e39-495e-89d9-e70dabceabf5 · outbound

This paper cites Human-level control through deep reinforcement learning,.

Predictive Lagrangian Optimization for Constrained Reinforcement Learning Human-level control through deep reinforcement learning,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T14:36:11.152230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1c9607c-fa41-443e-a16c-fa4cb1b674d3 · outbound

This paper cites Mastering the game of go with deep neural networks and tree search,.

Predictive Lagrangian Optimization for Constrained Reinforcement Learning Mastering the game of go with deep neural networks and tree search,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:36:11.461677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4b5092f4-f73c-4d3f-8f7e-606da9b3c761 · outbound

This paper cites Distributional soft actor-critic: Off-policy reinforcement learning for addressing value estimation errors,.

Predictive Lagrangian Optimization for Constrained Reinforcement Learning Distributional soft actor-critic: Off-policy reinforcement learning for addressing value estimation errors,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:36:11.446832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d0f7a593-2512-485b-a701-94ffbbb68fad · outbound

This paper cites A transformation-aggregation framework for state representation of au- tonomous driving systems,.

Predictive Lagrangian Optimization for Constrained Reinforcement Learning A transformation-aggregation framework for state representation of au- tonomous driving systems,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:36:11.432376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 559ca1fd-67fc-428c-98c1-0d1223bbd7d8 · outbound

This paper cites an unresolved cited work.

Predictive Lagrangian Optimization for Constrained Reinforcement Learning Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:36:11.417777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2c0456ab-157a-4930-b08b-4430b6f269bf · outbound

This paper cites Direct and indirect reinforcement learning,.

Predictive Lagrangian Optimization for Constrained Reinforcement Learning Direct and indirect reinforcement learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:36:11.402702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eaf139ff-44c5-4d61-90e2-573c482a486f · outbound

This paper cites A dynamic penalty function approach for constraint-handling in reinforcement learning,.

Predictive Lagrangian Optimization for Constrained Reinforcement Learning A dynamic penalty function approach for constraint-handling in reinforcement learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:36:11.385834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5e382ad8-89aa-45ab-a24c-03adecf7b045 · outbound

This paper cites Self- learned intelligence for integrated decision and control of automated vehicles at signalized intersections,.

Predictive Lagrangian Optimization for Constrained Reinforcement Learning Self- learned intelligence for integrated decision and control of automated vehicles at signalized intersections,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:36:11.370392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8fcd0f6a-4877-4e97-bc40-228b30594f1c · outbound

This paper cites Learning safe policies via primal-dual methods,.

Predictive Lagrangian Optimization for Constrained Reinforcement Learning Learning safe policies via primal-dual methods,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:36:11.355274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3adb2ecd-37e9-412e-9bc7-d9fa8bf646e2 · outbound

This paper cites Dynamical, symplectic and stochastic perspectives on gradient-based optimization,.

Predictive Lagrangian Optimization for Constrained Reinforcement Learning Dynamical, symplectic and stochastic perspectives on gradient-based optimization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:36:11.338350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d2bac549-e87d-4faf-98f1-423e9b374c6e · outbound

This paper cites Responsive safety in re- inforcement learning by PID lagrangian methods,.

Predictive Lagrangian Optimization for Constrained Reinforcement Learning Responsive safety in re- inforcement learning by PID lagrangian methods,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:36:11.321304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9586ec56-8c2c-4bd9-8de8-93f16ca8bca8 · outbound

This paper cites Separated proportional-integral lagrangian for chance constrained reinforcement learning,.

Predictive Lagrangian Optimization for Constrained Reinforcement Learning Separated proportional-integral lagrangian for chance constrained reinforcement learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:36:11.305139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 68dee65c-b556-4932-822c-bcf042e05201 · outbound

This paper cites Model- based actor-critic with chance constraint for stochastic system,.

Predictive Lagrangian Optimization for Constrained Reinforcement Learning Model- based actor-critic with chance constraint for stochastic system,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:36:11.289398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3072ebe2-72ff-4e3a-9328-6b3c26e8080f · outbound

This paper cites Gops: A general optimal control problem solver for autonomous driving and industrial control applications,.

Predictive Lagrangian Optimization for Constrained Reinforcement Learning Gops: A general optimal control problem solver for autonomous driving and industrial control applications,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:36:11.273556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d01f9777-6183-40de-89dc-611f6e010edf · outbound

This paper cites Enhance generality by model-based reinforcement learning and domain ran- domization,.

Predictive Lagrangian Optimization for Constrained Reinforcement Learning Enhance generality by model-based reinforcement learning and domain ran- domization,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:36:11.257771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.