Paper Citation Record · LEDGER

Reward Models in Deep Reinforcement Learning: A Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2506.15421.

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

pith.paper-citation-record.v1
2506.15421 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T18:08:19.797150Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:29:50.941267Z

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 9c30b6bc-215c-4a92-8b91-d9a93b451a39 · inbound

Multi-objective Reinforcement Learning With Augmented States Requires Rewards After Deployment cites this paper.

Multi-objective Reinforcement Learning With Augmented States Requires Rewards After Deployment Reward Models in Deep Reinforcement Learning: A Survey

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:38:41.945064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e53582ca-beba-4ed5-90ca-36d1efeb6910 · inbound

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning cites this paper.

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning Reward Models in Deep Reinforcement Learning: A Survey

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:24:47.223690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 79cea2e5-be26-43e8-9720-51304d27cddc · inbound

D-VLA: A High-Concurrency Distributed Asynchronous Reinforcement Learning Framework for Vision-Language-Action Models cites this paper.

D-VLA: A High-Concurrency Distributed Asynchronous Reinforcement Learning Framework for Vision-Language-Action Models Reward Models in Deep Reinforcement Learning: A Survey

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:47:53.425028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ee58a84b-58e0-4b21-80ad-9659fcf303f4 · inbound

D-VLA: A High-Concurrency Distributed Asynchronous Reinforcement Learning Framework for Vision-Language-Action Models cites this paper.

D-VLA: A High-Concurrency Distributed Asynchronous Reinforcement Learning Framework for Vision-Language-Action Models Reward Models in Deep Reinforcement Learning: A Survey

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:05:06.483419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6c8a3fc2-9855-4232-b2f2-9bf323ba31e0 · inbound

AudioProcessBench: Benchmark for Identifying Process Errors in Audio-Grounded Reasoning cites this paper.

AudioProcessBench: Benchmark for Identifying Process Errors in Audio-Grounded Reasoning Reward Models in Deep Reinforcement Learning: A Survey

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T23:37:27.332423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad523e39-1735-4f45-8802-1b24dff731b1 · inbound

PortraitGen: Exemplar-Driven GRPO with Dual-Reward Guidance for Photorealistic Portrait Generation cites this paper.

PortraitGen: Exemplar-Driven GRPO with Dual-Reward Guidance for Photorealistic Portrait Generation Reward Models in Deep Reinforcement Learning: A Survey

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:29:50.942774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.