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Paper Citation Record · LEDGER

Mixtures of Experts Unlock Parameter Scaling for Deep RL

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2402.08609.

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

pith.paper-citation-record.v1
2402.08609 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:44:15.137915Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:19:31.151808Z

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 9b2e9d27-f0e0-4b90-94b5-75c88eafc7b7 · inbound

One Step Diffusion via Shortcut Models cites this paper.

One Step Diffusion via Shortcut Models Mixtures of Experts Unlock Parameter Scaling for Deep RL

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T06:40:55.563568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T06:40:55.394389Z digest=sha256:6bd5af47d7399ddd8524ba24ea4dc88e5996dd83f3bd3a1ce2fe9c7a88bf636c

Observation 49e4a198-8e23-4210-a2a6-6a14c665cb30 · inbound

Is Exploration or Optimization the Problem for Deep Reinforcement Learning? cites this paper.

Is Exploration or Optimization the Problem for Deep Reinforcement Learning? Mixtures of Experts Unlock Parameter Scaling for Deep RL

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T05:44:15.137915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:44:15.137915Z digest=sha256:cce6e5d694bf40ee9f499af671594c19774f4e93a49529df82bea0c0d86256e6

Observation 5bdc6d28-9dc8-48ed-b0dd-1e339fe4dd6e · inbound

Tree Learning: A Multi-Skill Continual Learning Framework for Humanoid Robots cites this paper.

Tree Learning: A Multi-Skill Continual Learning Framework for Humanoid Robots Mixtures of Experts Unlock Parameter Scaling for Deep RL

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:56:04.654286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:15:58.932739Z digest=sha256:c9b5330d748c87af75df73d58a472a564f3389b7b2f5cf655b13dc26338a947a

Observation 816f1a7a-763c-4c76-b2d2-d14e744f00a9 · inbound

Scalable Reinforcement Learning via Adaptive Batch Scaling cites this paper.

Scalable Reinforcement Learning via Adaptive Batch Scaling Mixtures of Experts Unlock Parameter Scaling for Deep RL

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:24:27.777454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T00:21:15.933174Z digest=sha256:6fc124613862a6757332cb1122bb4663095acaab23c2da02544992ec460b3c1b

Observation 70a4cc89-d84c-4f7f-aa20-7beba96ebb5f · inbound

Scalable Reinforcement Learning via Adaptive Batch Scaling cites this paper.

Scalable Reinforcement Learning via Adaptive Batch Scaling Mixtures of Experts Unlock Parameter Scaling for Deep RL

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:24:57.657044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T17:17:59.698127Z digest=sha256:7b4453bd2eeca6cc54715c1b470995c4d9050f3af5c124d9dab3af03949a2367

Observation 361da505-2223-4ddd-8756-667e923b824f · inbound

NUCLEUS-MoE: Unified Model of Pool Boiling for Liquid Cooling cites this paper.

NUCLEUS-MoE: Unified Model of Pool Boiling for Liquid Cooling Mixtures of Experts Unlock Parameter Scaling for Deep RL

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:33:50.518559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T18:30:09.813448Z digest=sha256:45de194d0fa901bf5bb85522cb7db797ac656ebf7c2d889f086ff6293ff0b401

Observation 67520ffa-6666-4e55-b228-28d1c27daf1d · inbound

Direct Advantage Estimation for Scalable and Sample-efficient Deep Reinforcement Learning cites this paper.

Direct Advantage Estimation for Scalable and Sample-efficient Deep Reinforcement Learning Mixtures of Experts Unlock Parameter Scaling for Deep RL

Reference 88

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T03:19:31.153848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-26T18:12:00.111067Z digest=sha256:10a2ee1fa549ea14ce9fd3b1961847d161225b3dad04cb166edbdfd31558c04a

Observation d5131b09-6aba-497f-8f93-ab9fa004591d · inbound

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text cites this paper.

SCOPE and SCION: A Benchmark and an Auditable Reference Pipeline for Schema Induction and Fusion from Text Mixtures of Experts Unlock Parameter Scaling for Deep RL

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-02T13:36:57.613779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T13:36:57.613779Z digest=sha256:0a059ec141cdfe9264cb97e7961fe6cfe0dcd59e6d76f02f98236bc2c8620e73

Observation cc8eb7ff-db86-417f-9c36-ac4297ca1da3 · inbound

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning cites this paper.

Cooperative Multi-UAV Navigation in Complex Environments via Systematic Multi-Agent Deep Reinforcement Learning Mixtures of Experts Unlock Parameter Scaling for Deep RL

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T01:39:36.561037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:39:36.561037Z digest=sha256:2e9a4cd876195d684adc88e395c391daef5febaed067b5fd705358a0fb99fac8

Observation 9b779e9c-8965-48ab-969b-bc3443117196 · inbound

ReBRAC-v2: The Return of the King cites this paper.

ReBRAC-v2: The Return of the King Mixtures of Experts Unlock Parameter Scaling for Deep RL

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T00:32:44.210333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:32:44.210333Z digest=sha256:9bbba857774bab149813d5152cfa1e8e143d086c7d09ee70e64c11a3d1e167dc