Paper Citation Record · LEDGER

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling

As of 7 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 4 inbound Pith citation observations for arXiv:2509.23722.

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

pith.paper-citation-record.v1
2509.23722 v2

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:43:05.087510Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T07:35:32.225708Z

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

68 of 68 outbound references displayed

verified exact0
verified fuzzy0
unresolved68
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a334c39c-19a4-4655-a151-2b361c7a81a4 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:56.314240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71fa6136-83f6-443a-b622-38d3c3db4ce4 · outbound

This paper cites Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:56.399872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10850af2-eca3-451a-80e4-6d2ceb842cc1 · outbound

This paper cites Language Models are Few-Shot Learners.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Language Models are Few-Shot Learners

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:56.462278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75c6c37c-7042-4a95-8d2c-40d78b236e7b · outbound

This paper cites SPPO:Efficient Long-sequence LLM Training via Adaptive Sequence Pipeline Parallel Offloading.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling SPPO:Efficient Long-sequence LLM Training via Adaptive Sequence Pipeline Parallel Offloading

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:56.571437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be5b96c1-90f9-440c-9515-e86cfa25a1a7 · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Training Deep Nets with Sublinear Memory Cost

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:56.681876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14e9ad2b-cf02-4751-91ff-be08621509ef · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:56.819874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 902b3bd9-1694-4149-9370-942788437246 · outbound

This paper cites The Llama 3 Herd of Models.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling The Llama 3 Herd of Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:57.009698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6136c2d1-dee4-4178-9566-2b592be53743 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:57.129257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e722a43d-d48a-41f3-b841-5b728ef4b49d · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:57.212949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 065e3ee1-2ea1-4fba-807f-50c8203faa6e · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:57.330095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1ba0494-7f7f-4882-8219-743c3f710bcd · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:57.534227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 168328dd-3336-4384-b2bb-8f0a03ed688b · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:57.773020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 054bdcd8-5793-454b-92ca-0a6f6a9321b3 · outbound

This paper cites PipeDream: Fast and Efficient Pipeline Parallel DNN Training.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling PipeDream: Fast and Efficient Pipeline Parallel DNN Training

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:57.952940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8e3677f-1ad2-41ce-b7db-1644fddc16cb · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:58.164363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93cc38a3-dc96-4c7b-b2d3-b1193d9ae013 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:58.310240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab974751-f511-4c9e-92cf-0642f85d7960 · outbound

This paper cites Scaling Laws for Neural Language Models.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Scaling Laws for Neural Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:58.429286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1449b7db-6da1-45a5-a70a-f7f4fcc82a8c · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:58.602381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 582c949c-759d-4cbc-89e5-3bc9353d7333 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:58.823357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7e13982-92db-475b-ad8c-8f8f5c14a033 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:59.034830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6c5d790-c0e9-433e-a90a-5f224a70dfc2 · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:59.198162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 792e798f-6720-4832-9689-43d6818dabde · outbound

This paper cites MiniMax-01: Scaling Foundation Models with Lightning Attention.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling MiniMax-01: Scaling Foundation Models with Lightning Attention

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:59.377440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77d6325d-b89f-4e92-a794-5a21f025d8be · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:59.508166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f14456d2-623f-410c-ab2a-05b7620f0aab · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:59.705049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1577ac71-03e3-4be5-8009-78cdee82ac87 · outbound

This paper cites PyTorch Distributed: Experiences on Accelerating Data Parallel Training.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling PyTorch Distributed: Experiences on Accelerating Data Parallel Training

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:59.829942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9bafe50-c7c6-4fd3-a6ef-2d276caa3c22 · outbound

This paper cites SlimPipe: Memory-Thrifty and Efficient Pipeline Parallelism for Long-Context LLM Training.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling SlimPipe: Memory-Thrifty and Efficient Pipeline Parallelism for Long-Context LLM Training

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:59.961767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af2d964f-205a-458f-a8ca-15b7a7a5f027 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:00.150441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25b629e5-ab65-47b2-9a23-7165f76072cd · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Jamba: A Hybrid Transformer-Mamba Language Model

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:00.250896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb5a37b8-796e-43b8-a04d-33596c1b4589 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:00.334997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c031a9fc-6bd9-4a85-afcd-ebfae966a1cd · outbound

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

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:00.470094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5905e5f5-0b4e-482d-a65f-e1f8f06338c5 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:00.606602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6149929-a52c-4f66-8be9-2d1373ff5943 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:00.905727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d333d98-410f-4f2c-8c1f-42b66c3bb52e · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:01.043194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4db2a77-fd91-4879-b649-944bd8ea7672 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:01.183813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9187a99-8bee-4347-a13b-3a75ff5a9d5f · outbound

This paper cites Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:01.294927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee89dae8-0315-44e7-bd39-f891c8b23624 · outbound

This paper cites MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:01.402944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79dcde32-1645-4e51-8d0e-796222c3dd03 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:01.503628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 638f2345-cf2e-4585-9bf8-61e5ed42703b · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:01.606823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb168f56-0f76-4596-ad2f-65e043ee1d5a · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:01.749078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35ecbc80-5906-4332-8876-9b68983cc796 · outbound

This paper cites Pipeline Parallelism with Controllable Memory.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Pipeline Parallelism with Controllable Memory

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:01.864297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdc49a1b-5ec8-4d7d-b48f-fb6be030e6e3 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:02.013161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bbe735e-fbe3-4c17-adf3-753bde6370ae · outbound

This paper cites Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:02.167963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ab9db9b-d6bc-4d6f-9188-47220a9af8c6 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:02.337891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84e0dbd8-c393-474e-80e5-1e1848db71a6 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:02.469877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 150708e3-5334-438e-ad60-d848049e192d · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:02.731191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb893a86-6e8d-4e04-9c39-14c1dfa3a87a · outbound

This paper cites 2021.{Zero-offload}: Democratizing{billion-scale} model training.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling 2021.{Zero-offload}: Democratizing{billion-scale} model training

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:02.833757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 680f174b-c432-46be-a619-bba37b90ca6a · outbound

This paper cites Horovod: fast and easy distributed deep learning in TensorFlow.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Horovod: fast and easy distributed deep learning in TensorFlow

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:02.954005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b51ae09-72fd-4bdd-87b6-ace8b415121d · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:03.076893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8239353-81b1-459e-a234-6690cb671d61 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:03.161382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fac3fb5-9d25-40fa-a3e1-a9d17ed9d36b · outbound

This paper cites Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:03.261468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a97e026e-0b66-48ce-92db-43b270168e73 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:03.389189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0933d6d0-9727-4537-8e27-69dce7e3b871 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:03.484701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02624761-e281-45af-bc8b-47d9548579f0 · outbound

This paper cites Gemma 3 Technical Report.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Gemma 3 Technical Report

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:03.552319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 054141aa-9d7e-45d1-91cd-cef5d6743907 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:03.616506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e2f273f-7d3c-4d48-b932-9c4395e94b6e · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:03.782891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8624200c-3601-4067-b262-b16e142a4a0b · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:03.910864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a90ebbf9-265f-4d29-9e39-d8c9bf249191 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:04.033215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7206f3ff-3703-49b9-bd9b-7eede5c2e6b6 · outbound

This paper cites Emergent Abilities of Large Language Models.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Emergent Abilities of Large Language Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:04.197536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3370522-9ec9-41dd-b6ac-6fecd003838a · outbound

This paper cites Qwen3 Technical Report.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Qwen3 Technical Report

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:04.291509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c0749ba-40b0-4b95-a771-cb95a52c537e · outbound

This paper cites Balancing Pipeline Parallelism with Vocabulary Parallelism.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Balancing Pipeline Parallelism with Vocabulary Parallelism

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:04.454377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fac70f2f-67cb-4d6f-ac57-497822f59729 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:04.584357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee246595-211b-40e0-a33c-3e4094930587 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:04.701870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f361e042-4335-4dfd-b3b2-85b587bc8fe5 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:04.919038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2e0b1be-c77e-4cf1-b211-38c10edf9fd4 · outbound

This paper cites an unresolved cited work.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling Unresolved cited work

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:04.997973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 054f5e2c-50dd-4cac-a66d-f0ebde3eeb98 · outbound

This paper cites PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:04.792216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 235f60bf-0e9b-4e8e-9108-00846488c10b · outbound

This paper cites InSC20: International Conference for High Performance Computing, Networking, Storage and Analysis.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling InSC20: International Conference for High Performance Computing, Networking, Storage and Analysis

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:02.588413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76d0a2cc-9eff-46ec-b40c-4ac14963acbf · outbound

This paper cites InInternational Conference on Machine Learning.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling InInternational Conference on Machine Learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:58.763528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9d4d30b-3396-4bbc-9089-c4b6c6078aa7 · outbound

This paper cites DeepSeek-V3 Technical Report.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling DeepSeek-V3 Technical Report

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:00.748991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee5224a7-6be4-488b-aea7-53d7cca97534 · outbound

This paper cites InProceedings of the Twentieth European Conference on Computer Systems.

OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling InProceedings of the Twentieth European Conference on Computer Systems

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:05.087510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 79af8c3d-abde-49c1-88c1-bc4c41464c9d · inbound

NestPipe: Large-Scale Recommendation Training on 1,500+ Accelerators via Nested Pipelining cites this paper.

NestPipe: Large-Scale Recommendation Training on 1,500+ Accelerators via Nested Pipelining OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:15:57.736644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ed5691a5-fffd-441c-826b-ff5339291f16 · inbound

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism cites this paper.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:15:57.736644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 07de0392-3ff9-4436-9fcf-16b7533bbcea · inbound

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism cites this paper.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:15:57.736644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 73a390de-8d7d-4718-afef-126fc85bd1af · 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 OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:15:57.736644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.