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Paper Citation Record · LEDGER

Mixtures of Experts Unlock Parameter Scaling for Deep RL

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:23:18.496270Z

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

source=pdf_text observed=2026-05-15T06:40:55.394389Z digest=sha256:3e703c4bbf8841d54d6a4d52e8cd6f7ae435a6031a5c887790d6276dff5adaf1

Observation 230260b6-3b52-42f0-8290-1c9247141cc9 · inbound

Hadamax Encoding: Elevating Performance in Model-Free Atari cites this paper.

Hadamax Encoding: Elevating Performance in Model-Free Atari Mixtures of Experts Unlock Parameter Scaling for Deep RL

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T15:23:18.496270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:23:18.496270Z digest=sha256:f7361517d8f686063df5095b45d96ea172a309ad86a850c7130d9c4afcf20f7a

Observation aec23ad6-b798-4e70-80b2-758c11dcea5c · inbound

Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer cites this paper.

Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer Mixtures of Experts Unlock Parameter Scaling for Deep RL

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:13.564548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:35:13.564548Z digest=sha256:2bcb470673003821cb11327e04465d8cc7f995687a18a6a790a9aab119355bee

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=sha256:45a2ea8b3a14f7fcbabb27b649b830c9fdcf9dafdf1694fa882752979ec1d681

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

source=pdf_text observed=2026-05-10T15:15:58.932739Z digest=sha256:55ee090fb1794c9c98885b5b3f35334470491ae89d7b26db4625acf447d45f87

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

source=pdf_text observed=2026-05-22T00:21:15.933174Z digest=sha256:9ae62a86895f7f6bfb926a99551adbaf302f6d264a258ea6047d43c762af10c2

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

source=pdf_text observed=2026-06-30T17:17:59.698127Z digest=sha256:9ad813c22105f8d4984636acf55b4b169c497644a39b805b923577764c9eae12

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

source=pdf_text observed=2026-06-29T18:30:09.813448Z digest=sha256:0b1d816b0af2e0f065ea60ed9bb4fd148fac70c9ae2f5ae74f8406f2d75a419d

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

source=arxiv_source observed=2026-06-26T18:12:00.111067Z digest=sha256:a497b52d8ac6e033396d6fd7237f1f4f7e82a3fcc9077bf6211ef2c10b000a5b

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=sha256:43ce13ef263558f00c51dd7ecfc93e346cd19322c0d9dd5f286dcefd4c87d247

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=sha256:0be46861f03b7df54fd28a6e3b3b6aa6328c10da6b171fdd7eadf66dcb3a5b02

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=sha256:5983209dbcb2c41b0f62e6db3ae81712c2c86df48a2ad947c343c0e0d1385a91