Paper Citation Record · LEDGER

ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2406.14088.

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

pith.paper-citation-record.v1
2406.14088 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:19:34.081749Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:48:49.536779Z

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 23c34f15-0efb-47fb-978c-a4d69d38317a · inbound

7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement cites this paper.

7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T20:27:18.287868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baf37d31-4399-40b3-9a93-4fdb43061efa · inbound

StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation cites this paper.

StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T11:19:34.081749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fda7b7fa-5ba2-4757-93b0-eeb1cbb426da · inbound

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library cites this paper.

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T06:02:32.953420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8ec1b39-c291-4b52-ba9d-2c16cba2ad62 · inbound

MindSpeed RL: Distributed Dataflow for Scalable and Efficient RL Training on Ascend NPU Cluster cites this paper.

MindSpeed RL: Distributed Dataflow for Scalable and Efficient RL Training on Ascend NPU Cluster ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T18:07:35.005076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03e775ba-5b7d-4f06-8de8-c5101b999003 · inbound

Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning cites this paper.

Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:14.552046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f01dc95e-efa1-4994-8bca-1d0c052dc0f0 · inbound

TensorHub: Scalable and Elastic Weight Transfer for LLM RL Training cites this paper.

TensorHub: Scalable and Elastic Weight Transfer for LLM RL Training ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:11:00.594947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 62b51473-9f4e-44f7-93fa-3a1685713e0c · inbound

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs cites this paper.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:13:43.884991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cac5490b-9dab-4729-b291-ae7bfa2b0daa · inbound

PlexRL: Cluster-Level Orchestration of Serviceized LLM Execution for RLVR cites this paper.

PlexRL: Cluster-Level Orchestration of Serviceized LLM Execution for RLVR ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-21T02:29:25.409339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef2e30af-fb88-4ac4-929c-c88ea9e06416 · inbound

Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents cites this paper.

Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:06:40.616189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 06870b1d-8722-4fea-8bb3-1141e75b3305 · inbound

Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents cites this paper.

Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:48:49.538132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c920d508-64bc-4f6d-b9d8-261ba752fd9e · inbound

DynaResize: Runtime GPU Reallocation for Disaggregated LLM Post-Training cites this paper.

DynaResize: Runtime GPU Reallocation for Disaggregated LLM Post-Training ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T11:14:00.088095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.