Paper Citation Record · LEDGER

Zero Bubble Pipeline Parallelism

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2401.10241.

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

pith.paper-citation-record.v1
2401.10241 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:04:35.491430Z

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

4
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 317e65dc-af55-41c5-8adf-0ae42109b8c3 · inbound

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model cites this paper.

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model Zero Bubble Pipeline Parallelism

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:36:27.188875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bb532364-544b-4d45-abb3-078bae1909ad · inbound

Echo: Simulating Distributed Training At Scale cites this paper.

Echo: Simulating Distributed Training At Scale Zero Bubble Pipeline Parallelism

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:29.491220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79d021ef-6ae1-44fe-8362-db3e968f3bbc · inbound

Automatically Planning Optimal Parallel Strategy for Large Language Models cites this paper.

Automatically Planning Optimal Parallel Strategy for Large Language Models Zero Bubble Pipeline Parallelism

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T22:59:59.150576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06708ac2-2204-45ea-ade2-2209f032de1c · inbound

Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation cites this paper.

Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation Zero Bubble Pipeline Parallelism

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T06:04:35.491430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f34e9dcd-6c09-49e7-ba39-1f1d467497d4 · inbound

Hetu v2: A General and Scalable Deep Learning System with Hierarchical and Heterogeneous Single Program Multiple Data Annotations cites this paper.

Hetu v2: A General and Scalable Deep Learning System with Hierarchical and Heterogeneous Single Program Multiple Data Annotations Zero Bubble Pipeline Parallelism

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T05:32:40.843685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e5cb269-4d7e-4837-b501-baddecfc3d6b · inbound

Nesterov Method for Asynchronous Pipeline Parallel Optimization cites this paper.

Nesterov Method for Asynchronous Pipeline Parallel Optimization Zero Bubble Pipeline Parallelism

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:18.151163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5226490d-593b-4301-bff0-532a76879136 · inbound

DeepCEE: Efficient Cross-Region Model Distributed Training System under Heterogeneous GPUs and Networks cites this paper.

DeepCEE: Efficient Cross-Region Model Distributed Training System under Heterogeneous GPUs and Networks Zero Bubble Pipeline Parallelism

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T15:18:12.657789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e3d8d42-3a1e-4430-a935-f97cf2bc891e · inbound

Thunder-Tok: Minimizing Tokens per Word in Tokenizing Korean Texts for Generative Language Models cites this paper.

Thunder-Tok: Minimizing Tokens per Word in Tokenizing Korean Texts for Generative Language Models Zero Bubble Pipeline Parallelism

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T19:47:59.661858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4482eaa3-1647-4126-82f1-d5fe7f4b75c9 · inbound

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning cites this paper.

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning Zero Bubble Pipeline Parallelism

Reference 149

Resolution: verified exact; arxiv_id, observed 2026-05-19T01:01:10.296458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2f740f25-3b68-4d0b-a7e0-22a1711d5ee2 · inbound

Photonic Rails in ML Datacenters cites this paper.

Photonic Rails in ML Datacenters Zero Bubble Pipeline Parallelism

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:48.217515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 764f144a-9395-4519-a8f6-265b8eca2401 · inbound

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models cites this paper.

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models Zero Bubble Pipeline Parallelism

Reference 136

Resolution: unresolved; no resolver link, observed 2026-08-06T17:47:40.359583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beb524af-4d9c-4eff-839f-2d0f5deb3a0a · 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 Zero Bubble Pipeline Parallelism

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T18:07:35.026073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b5c9b85-d51f-4968-947f-c68721935e7a · inbound

Kimi K2: Open Agentic Intelligence cites this paper.

Kimi K2: Open Agentic Intelligence Zero Bubble Pipeline Parallelism

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T17:49:28.044674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 95140c19-b7d6-465c-a4d3-a87a82a974bb · inbound

HARP: Orchestrating Automated Parallel Training on Heterogeneous GPU Clusters cites this paper.

HARP: Orchestrating Automated Parallel Training on Heterogeneous GPU Clusters Zero Bubble Pipeline Parallelism

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:22:36.186180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0a89597c-35b1-47ec-ba8a-43ec433d9ee0 · inbound

PRISM: Probabilistic Runtime Insights and Scalable Performance Modeling for Large-Scale Distributed Training cites this paper.

PRISM: Probabilistic Runtime Insights and Scalable Performance Modeling for Large-Scale Distributed Training Zero Bubble Pipeline Parallelism

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:30:59.743764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0a9b5e80-dec3-4d3e-befb-e0f8802e3ab1 · inbound

BOOST: BOttleneck-Optimized Scalable Training Framework for Low-Rank Large Language Models cites this paper.

BOOST: BOttleneck-Optimized Scalable Training Framework for Low-Rank Large Language Models Zero Bubble Pipeline Parallelism

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:21:21.540521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 790d5b6c-3628-47de-95d0-2dda0e00ab53 · inbound

Opus: Photonic Rail-Optimized Fabric in ML Datacenters cites this paper.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Zero Bubble Pipeline Parallelism

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-02T23:50:58.766843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8959511b-61b1-410c-89ed-15083214787b · inbound

GLM-5: from Vibe Coding to Agentic Engineering cites this paper.

GLM-5: from Vibe Coding to Agentic Engineering Zero Bubble Pipeline Parallelism

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:46:40.931935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9659b4c1-ea9a-4909-a3ac-c9bf427da449 · inbound

JoyAI-LLM Flash: Advancing Mid-Scale LLMs with Token Efficiency cites this paper.

JoyAI-LLM Flash: Advancing Mid-Scale LLMs with Token Efficiency Zero Bubble Pipeline Parallelism

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:28:09.814751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c1f1bfba-28e7-466d-a1b7-99f2f827a672 · inbound

Symphony: Taming Step Misalignments in the Network for Ring-based Collective Operations cites this paper.

Symphony: Taming Step Misalignments in the Network for Ring-based Collective Operations Zero Bubble Pipeline Parallelism

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:06:53.160477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a4871e66-2bac-4c3f-a042-0778c15cfc6a · inbound

Efficient Training on Multiple Consumer GPUs with RoundPipe cites this paper.

Efficient Training on Multiple Consumer GPUs with RoundPipe Zero Bubble Pipeline Parallelism

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:31:26.775186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 590085e0-eccf-4c59-9025-0793b59fd220 · inbound

Piper: Efficient Large-Scale MoE Training via Resource Modeling and Pipelined Hybrid Parallelism cites this paper.

Piper: Efficient Large-Scale MoE Training via Resource Modeling and Pipelined Hybrid Parallelism Zero Bubble Pipeline Parallelism

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-08T17:13:38.698848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation adb6560c-73d8-4f3f-98e8-16b6ee563c24 · inbound

MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production cites this paper.

MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production Zero Bubble Pipeline Parallelism

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:06:14.944054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2b0f09fc-28c0-4043-842f-ed681d76db76 · inbound

Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered cites this paper.

Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered Zero Bubble Pipeline Parallelism

Reference 117

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:23:44.551142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0aa6e76a-6c72-48c4-b794-63daf68b37bd · inbound

A Readiness-Driven Runtime for Pipeline-Parallel Training under Runtime Variability cites this paper.

A Readiness-Driven Runtime for Pipeline-Parallel Training under Runtime Variability Zero Bubble Pipeline Parallelism

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:38:09.459266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3a0ab0cd-71b6-43ef-b170-b34e2925de8d · inbound

BigMac: Breaking the Pareto Frontier of Compute and Memory in Multimodal LLM Training cites this paper.

BigMac: Breaking the Pareto Frontier of Compute and Memory in Multimodal LLM Training Zero Bubble Pipeline Parallelism

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T23:04:01.022295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4902ab06-754c-4169-87e2-a04e16afdb79 · inbound

Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency cites this paper.

Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency Zero Bubble Pipeline Parallelism

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:57:09.430546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0afbd8d9-8814-4a04-8456-a1edaab68160 · inbound

Piper: A Programmable Distributed Training System cites this paper.

Piper: A Programmable Distributed Training System Zero Bubble Pipeline Parallelism

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-03T07:57:44.664289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d2ff9034-2202-4a90-8518-efa4500368ad · 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 Zero Bubble Pipeline Parallelism

Reference 226

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T11:09:46.387679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c6626b61-504e-436a-bd66-ee9f40f80cf9 · 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 Zero Bubble Pipeline Parallelism

Reference 226

Resolution: unresolved; no resolver link, observed 2026-08-02T10:27:18.511412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e2ee157-09e2-4628-8564-1e61e76e3f6a · inbound

One-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining cites this paper.

One-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining Zero Bubble Pipeline Parallelism

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:44:18.887187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.