Paper Citation Record · LEDGER

DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2308.01320.

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

pith.paper-citation-record.v1
2308.01320 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 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 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:21:37.458748Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

10
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a8da933d-fddd-4d6c-9a12-82d3fa422edf · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 214

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:46:40.026523Z

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.

Observation a1c3eae2-2f4a-4e22-8be7-d9e6e31897b5 · inbound

OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework cites this paper.

OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:28:57.132277Z

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.

Observation 81152436-d2f4-4828-83bc-53f101f250ce · inbound

HybridFlow: A Flexible and Efficient RLHF Framework cites this paper.

HybridFlow: A Flexible and Efficient RLHF Framework DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:53:38.949833Z

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.

Observation 9fb83aab-dfe0-4eaa-83ea-22db674c60c9 · inbound

Curiosity-Driven Reinforcement Learning from Human Feedback cites this paper.

Curiosity-Driven Reinforcement Learning from Human Feedback DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T18:21:37.458748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cb093db-74b0-4c15-9e31-db362efb60fc · inbound

Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective cites this paper.

Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-10T00:11:59.487147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae705c90-d7b1-4065-86eb-f4a8027ba4af · inbound

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling cites this paper.

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T17:46:29.299748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a346cb7-c05c-40d9-adb2-bbddb6a051d4 · inbound

Trustworthy AI: Safety, Bias, and Privacy -- A Survey cites this paper.

Trustworthy AI: Safety, Bias, and Privacy -- A Survey DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T11:26:27.871302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97efdee9-ee8b-4ccc-bce1-73c6eaed10ff · inbound

hdl2v: A Code Translation Dataset for Enhanced LLM Verilog Generation cites this paper.

hdl2v: A Code Translation Dataset for Enhanced LLM Verilog Generation DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:07.106711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31e20e14-e2d7-48c2-8f4b-62ff40c7919f · inbound

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training cites this paper.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:26.921368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c61dd39-2429-487e-a5fc-91c87cd3b8a4 · inbound

A Technical Survey of Reinforcement Learning Techniques for Large Language Models cites this paper.

A Technical Survey of Reinforcement Learning Techniques for Large Language Models DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 125

Resolution: unresolved; no resolver link, observed 2026-08-06T19:59:36.363859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 925590c5-9fb1-4b36-a820-e55fa5a3b877 · inbound

Towards Hallucination-Free Music: A Reinforcement Learning Preference Optimization Framework for Reliable Song Generation cites this paper.

Towards Hallucination-Free Music: A Reinforcement Learning Preference Optimization Framework for Reliable Song Generation DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T23:43:05.560349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2e9a5d5-ed78-4f19-9f40-9bf2c675bda2 · inbound

Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms cites this paper.

Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T23:26:57.319056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e334d77-5ec9-4c76-b73f-dc6bf5d9b267 · inbound

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 225

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:45.810430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 854279e9-d260-4a88-9ef2-3f3bf087e8aa · inbound

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

Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:14.512467Z

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.

Observation 320429c6-cee5-4569-8a60-7b8e42716a9b · inbound

Periodic Asynchrony: An On-Policy Approach for Accelerating LLM Reinforcement Learning cites this paper.

Periodic Asynchrony: An On-Policy Approach for Accelerating LLM Reinforcement Learning DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:34:04.919439Z

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.

Observation 91d20183-0493-4ff5-9269-c0bd1ad03359 · inbound

HetRL: Efficient Reinforcement Learning for LLMs in Heterogeneous Environments cites this paper.

HetRL: Efficient Reinforcement Learning for LLMs in Heterogeneous Environments DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T22:23:36.659585Z

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.

Observation 6a8f4821-a09c-4daa-a10a-b230ba7d5b2e · inbound

FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning cites this paper.

FP8-RL: A Practical and Stable Low-Precision Stack for LLM Reinforcement Learning DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-16T11:07:47.104402Z

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.

Observation 46372f89-f4c5-4dd3-a354-abca0291a1ad · inbound

TENT: A Declarative Slice Spraying Engine for Performant and Resilient Data Movement in Disaggregated LLM Serving cites this paper.

TENT: A Declarative Slice Spraying Engine for Performant and Resilient Data Movement in Disaggregated LLM Serving DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T17:01:43.630573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0025aedf-01b9-4e91-a04c-311a574f183e · inbound

Reinforcement Learning from Human Feedback: A Statistical Perspective cites this paper.

Reinforcement Learning from Human Feedback: A Statistical Perspective DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 87

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T20:13:13.726538Z

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.

Observation 49c70956-40a4-4cb5-9270-5de56d9f3a92 · inbound

JigsawRL: Assembling RL Pipelines for Efficient LLM Post-Training cites this paper.

JigsawRL: Assembling RL Pipelines for Efficient LLM Post-Training DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:11:11.055339Z

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.

Observation 9a61df6f-04b7-41ff-b383-ab7013fb6cdf · inbound

DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training cites this paper.

DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:46:26.338424Z

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.

Observation 7c63bc60-5e50-4d1b-a984-356098c4ecc9 · inbound

Safactory: A Scalable Agentic Infrastructure for Training Trustworthy Autonomous Intelligence cites this paper.

Safactory: A Scalable Agentic Infrastructure for Training Trustworthy Autonomous Intelligence DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:06:18.446759Z

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.

Observation 6c0aa9ae-c00e-41e6-97bc-eaca23fed6e4 · inbound

Safactory: A Scalable Agentic Infrastructure for Training Trustworthy Autonomous Intelligence cites this paper.

Safactory: A Scalable Agentic Infrastructure for Training Trustworthy Autonomous Intelligence DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:00:54.475637Z

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.

Observation ec74e6e1-88e0-407e-97f9-b0b76e09f3b6 · inbound

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL cites this paper.

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:31:16.480776Z

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.

Observation 81aa4c7c-fa99-4278-bbf4-f768a620a14b · inbound

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL cites this paper.

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:39:53.327060Z

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.

Observation c8cdc8e8-cd28-44a5-9c50-c99de0989ddb · inbound

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

PlexRL: Cluster-Level Orchestration of Serviceized LLM Execution for RLVR DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-21T02:29:25.369999Z

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.

Observation 36f0d166-0b90-4c03-9c82-f3d3b7ca186f · inbound

Spend Your Rollouts Where It Counts: Rollout Allocation for Group-Based RL Post-Training cites this paper.

Spend Your Rollouts Where It Counts: Rollout Allocation for Group-Based RL Post-Training DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:53:55.785979Z

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.

Observation 5fd2bbd8-573f-4685-8264-38363a5652fc · inbound

Libra: Efficient Resource Management for Agentic RL Post-Training cites this paper.

Libra: Efficient Resource Management for Agentic RL Post-Training DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:16:27.143876Z

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.

Observation b60fc586-0338-4925-bad5-7fe6ee500f3a · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 230

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:09:46.498426Z

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.

Observation cb13f38a-7fff-4397-8a91-7c58abd0a5da · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 216

Resolution: unresolved; no resolver link, observed 2026-08-02T10:27:18.522221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 907b9312-f955-48fd-917a-976172431ce0 · inbound

Bidirectional Resource Scheduling for Disaggregated and Asynchronous RL Post-Training cites this paper.

Bidirectional Resource Scheduling for Disaggregated and Asynchronous RL Post-Training DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-13T04:42:35.589143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5b7eb1d-f9a0-48cb-9da4-c1c052ed7136 · inbound

JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models cites this paper.

JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T21:32:07.773505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.