Pith. sign in

Paper Citation Record · LEDGER

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism

As of 7 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2605.06374.

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

pith.paper-citation-record.v1
2605.06374 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T04:01:42.265205Z

measured 58 of 58 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

58 of 58 outbound references displayed

  • verified exact21
  • verified fuzzy6
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cbb7827b-5b9b-4055-b489-bff82099cd06 · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.615062Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:680e0efa41c1d4ddcd13dd042ede1d6673c4c25a0a26ab9555179df4fb4b8c04

Observation 18d16531-638b-4728-897b-fb9724b2866e · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.582278Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:b85469148625f959942a9396b3b6b5ec6a002891bf5cd0e90540476f575b73e0

Observation 2219b46f-ff0a-4273-b4ec-1759d7d18381 · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.625233Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:c93e566346614b26928ec09fbb415b5de645096ccb8af67a144ecd5d16a2b587

Observation 97febac6-8c72-46ab-8f52-7cd757495d3d · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.603374Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:f554fdd2d18f7210c3f1eab050d3c7b92d0af357e1dc35554aa8ea27610cd8b6

Observation 9033362c-2726-4dd2-b70c-c95aebbdbfd9 · outbound

This paper cites DeepSeek-V3 Technical Report.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism DeepSeek-V3 Technical Report

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:41:45.064519Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:14000c44832be2a2fef5ee0ae5ff3226b4c4fdc33ca584745e0c0c116bd9c3b0

Observation a739c7aa-8701-44c4-aeb6-6b4a22c9a9ff · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.579931Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:e602d0d782e241542260224c2dd97f5309e466f1417c2f8202d8c052fa80d755

Observation 5734e788-fff4-4c0d-977f-1a3fb34edcbe · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.584659Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:7890cee81ebe5bdfdf8e0eb69559d212100b6ed8c85f2a7b34619015bebdb060

Observation 8f531f66-2b36-4c76-9666-23ebe6328abd · outbound

This paper cites Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud Microservices.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud Microservices

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:41:45.094643Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:807a79bcdf061facfe9da8842e3fceb697c822f8625e7df602c37be99c25bc38

Observation f54e1e4a-ac08-455e-9dab-2eb4d8722f60 · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.621013Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:81a158e8aee7bfb08fea4fc76691f68e760f8269dd9171d748a3e1e4073ebb73

Observation 884b28d0-4a21-478b-ac0c-827607a32e05 · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.611055Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:3ed99d1f3b106f590815c6b9aa5244356a496f037ecd26fb813cebd08f485d20

Observation ab732ce7-5025-4e89-a776-a8d051d3b249 · outbound

This paper cites In Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism In Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:06:42.617384Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:c4c1f05695fbe3a196cd9e12710d702c65b2bd6c3c5dbf024d8e0b2b4c374c1c

Observation f589bbec-0dfe-464f-95e7-a563b92257cb · outbound

This paper cites Rollpacker: Mitigating long-tail rollouts for fast, synchronous rl post-training.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Rollpacker: Mitigating long-tail rollouts for fast, synchronous rl post-training

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:41:45.024246Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:4c1031853dce45f233bf74bf2a6334206338abe6555f21cb457397a7ce7360d4

Observation 69f5e69b-a33d-4fcd-be89-72c208c335bc · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.595685Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:c3be04856efa9c30353d952b565c931024774f1603e29f2f64cdad0867dc170d

Observation 83456f6a-a984-4e31-9c02-9b338fc9084c · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.627210Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:d8be37c2740c2cd9b911433a8af288c21313360da6718c170f7f09bae028be0a

Observation 3bc0eebe-5f0d-4640-9773-0208769567b7 · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.612982Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:c3e757b2acb7e211b91bbdaeb98d1cd6f9acee33dd5ba7d57a94f7aa0ce2972c

Observation 12b9e1e9-6abc-4760-9c89-40f49a67def0 · outbound

This paper cites Gunawi, Riza O.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Gunawi, Riza O

Reference 16

Resolution
verified exact
doi, observed 2026-05-12T04:11:22.419269Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:4ee4b80ca5375ec9497ee9835e46220c30240c6521724424daa436a8175048d3

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

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

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:5225208d2c0849f7b100bcc6ecce90ea0c1e3f4dcc6a8ea56351371414634e31

Observation c7fa4d47-5cc6-4dd5-92ed-11801c8dd32c · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.586943Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:81e7b7d243c164908082f408d137fa16558de65f9b01c61078056698a1da57cd

Observation c716d102-16e2-4fb9-84f1-af47cdf9f55f · outbound

This paper cites Le, Yonghui Wu, and Zhifeng Chen.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Le, Yonghui Wu, and Zhifeng Chen

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:06:42.591437Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:baab3cedfb528893b3f6342457081321b52d2c56c3a7d65e46a55320833fdc61

Observation afd2c21a-ed1a-4e13-8f6d-c3cabe23af85 · outbound

This paper cites DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:07:22.650116Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:aaa0bc1f55ae5eec730d8b054a2e7afa3139ebc953cf5cde3e5e872bc8ea3666

Observation cd1faaf7-8570-44cf-996f-7cc1b2262649 · outbound

This paper cites 1991.The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism 1991.The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:06:42.593538Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:bc044d20c3d1f21dee1b54f3fe8dea20d756e8a0b3f32e284828baad1929c95d

Observation 0aac8b09-bb09-485f-a350-3ca28d132053 · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.589474Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:5a81a9479aad17d4b71a5cfae42efb306a865679e0ade2a0c52103b6cdeb7605

Observation 9b222ff8-f02b-42e2-b736-79f45a5ddab0 · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.623004Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:a27fc6d7753d2d2cdd8e727e2e394ffcadfc0ba59942bee93f1bfbfb571118b1

Observation 195e3356-f231-424e-a5a8-b15a228840f2 · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.605373Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:00299addae6d0e8524913170debe17aa94b406030c5ed61cb6c489e74662f8c0

Observation 9858b347-8f22-4a2a-97b2-54624664e180 · outbound

This paper cites Elaswave: An elastic-native system for scalable hybrid-parallel training.arXiv preprint arXiv:2510.00606, 2025.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Elaswave: An elastic-native system for scalable hybrid-parallel training.arXiv preprint arXiv:2510.00606, 2025

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:41:44.999358Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:4e38bf2b9b9b5e47fef3a660c86712e0958425424fab6148b6aaaf1995b7a1a0

Observation 3c5d0d30-36a2-4de1-8c70-c083189ef69a · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.649150Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:62ce1b2b60c24730fbbe0b5b9904e7f6dc2deb363af3f6db64a36f483b10c47a

Observation 1a25cd3a-af29-4808-8f11-3c10c6ef14a3 · outbound

This paper cites Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:41:44.985422Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:c62385eb8a90d1a707b11391e486e1c528ff7e33778c003d82b64bd6af34f6ef

Observation e472f29c-22d5-4084-ad54-144b92a72eae · outbound

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

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:41:44.903290Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:bd0c579b7818f9dfa7d17c6e29e7e77264a3b89c8abe6fd7cc61a9ddd709bb59

Observation 9a164a99-2b3d-4125-af43-3f3f1abbda66 · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 29

Resolution
verified exact
doi, observed 2026-05-12T04:11:22.408097Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:69a72833d5436aac0040f8a4feb342ee3369497610e77e0c3242e0b5217c7bfe

Observation e8ac1c2b-a3a3-4685-999a-f0e076821a8b · outbound

This paper cites Understanding Stragglers in Large Model Training Using What-if Analysis.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Understanding Stragglers in Large Model Training Using What-if Analysis

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:41:45.015153Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:a58d6bbf9ac810ddc21d684bb9d5849dbccc0093033fbbb1ffc1381929afd854

Observation 52b6e005-c0eb-4ab9-b9f5-2a263743aed9 · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.609257Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:3a04f76cd15d005a3e0b5c0eada075a04a747fe600d0e8962c51671d42a1bcd3

Observation f1bc1880-d36d-49fb-a4d9-ee83049632db · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.651087Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:fec88cd3a8b740dee16118d7ac2be059fb08c81ecabd207f9e936fbc2696ef6d

Observation f71fb791-f5cf-46dc-b3ed-a59e587a100e · outbound

This paper cites In Proceedings of the 21st USENIX Conference on File and Storage Technologies(Santa Clara, CA, USA)(FAST’23).

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism In Proceedings of the 21st USENIX Conference on File and Storage Technologies(Santa Clara, CA, USA)(FAST’23)

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:06:42.607412Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:a60c47619a39d2f8eebe5199aa0d88e6295c10de00c3e12a5593637eafdd12ee

Observation 986b2d83-1b70-4854-8f9e-5ab5954b1eed · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.601127Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:8bcaecf209b29646fc554bd53228f87c7d721f0ee8e6069dabfccff9e55d0b4c

Observation 62ac62db-9df5-42da-b477-510c14c3c00a · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.642703Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:3e734fa48c75e21dd9004130c6b26fc338911432b17a6aa71a0ce00637917ca4

Observation 3097e593-810f-4c70-a281-ff953f4c8eb4 · outbound

This paper cites Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis , articleno =.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis , articleno =

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T04:11:22.402864Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:73899ceab5017ccda910d09b96f4d1832e045cb8237ec01d4df470527778fac8

Observation 9554db37-893b-4973-9e16-9ed1b0a9f82f · outbound

This paper cites GPT-4 Technical Report.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism GPT-4 Technical Report

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:41:45.031808Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:f650a2621c1abc55464d0f51abb8b7af104a9932b67844f7672000edf3a0ab0d

Observation d00ee5ca-9901-4322-8b6c-76c14cc6f3b3 · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.631811Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:0e27b2554be6910bd2007196933fa25a560c0cf44ce0c56c6a61ed25167c172c

Observation 5031289f-d905-42df-ab91-89535e82d3fb · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.647121Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:a88b4d21d26ac4870d0b07e580be5fff8a6a42826067a74e69424cf2cb97c04a

Observation 7024e6b4-6287-4ad2-abdc-514f7e67da16 · outbound

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

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:41:45.072097Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:797d85596e6b5210de02c47e97eab05a515ce194bee2330008d9324b02d4e406

Observation e21b24ad-1ba5-411a-a238-2c75e576d1c8 · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.597914Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:87243c5807808c5224f78cabd5e8349f2bb21022cd0d19443cf9d2876b96e55d

Observation b39d1908-ed25-4e38-9fb6-8a6e90cf8b48 · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.629733Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:1ba13b909e657bad7ed3c4a5637999db431f9d1b2f59964c9d20f81f6b22770e

Observation c9219296-854f-4280-b58c-57d8453a66dd · outbound

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

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:41:45.109354Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:dee799b94de2b9786542cbe9216184af6df4bd2d4e5b2c068b02ecba7e376361

Observation b65968e0-aec5-470d-9fb0-4fb231395e41 · outbound

This paper cites doi: 10.1145/79173.79181.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism doi: 10.1145/79173.79181

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-12T04:11:22.413429Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:9f5bac33912c6cca532842b50b2518760452bdff6961f7e302683b5c432c9bea

Observation 1fef4a67-de75-4956-8dc2-e51ec9266352 · outbound

This paper cites Attention Is All You Need.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Attention Is All You Need

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:41:45.053054Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:f1bf9f09112795dc28d37fb34c843070d1906d12a3b0c5fd6d49fe652b0d0e1a

Observation e2813930-5fe5-48fa-a1b1-2102bc4815ec · outbound

This paper cites FlexSP: Accelerating Large Language Model Training via Flexible Sequence Parallelism.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism FlexSP: Accelerating Large Language Model Training via Flexible Sequence Parallelism

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:41:45.038571Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:da922e7ac1ab469271a1d898950d5b193823f7385afeb01abf0cff3e9b2c305f

Observation 5859c23a-0a77-4928-8a5c-bc7d4b8232ad · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.619216Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:9dcfcc025a51bc52b6b815d019ec5fe37af3087f1de481713da38b4797317c07

Observation 80a56e51-9083-4476-bdca-56c44babdd01 · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:41:45.123097Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:e9cacdf17b4b9d787067926a4d07b545145e2b092745ebddac09f409a2033101

Observation 6b6f1df8-4c35-4b50-8767-088c04899e1b · outbound

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

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:41:44.863146Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:0a0dd0b5b5d1a0778fdb1ff96f5ead2f213d8d5897909e4fe6a76b5e293511e0

Observation 06e39b09-e972-4d8c-835c-6b186018ad3c · outbound

This paper cites 2025.{GREYHOUND}: Hunting {Fail-Slows} in {Hybrid-Parallel} Training at Scale.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism 2025.{GREYHOUND}: Hunting {Fail-Slows} in {Hybrid-Parallel} Training at Scale

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:06:42.644831Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:357d32f81e607c3ccd7ac2438b0ea294d06aaac016ba3811ec3d75a5e20ff7d0

Observation 0705ef04-44cb-4be8-8fce-b425ca4ac340 · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.640821Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:e7c0e50978beff1e25a8e3420a332bfa01e405cd62891be7ba133ff9aa99d26a

Observation 92fa8395-7e95-4708-b584-ddff64799c2a · outbound

This paper cites Qwen3 Technical Report.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Qwen3 Technical Report

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:41:44.871209Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:e688392b16400ce44bde1b702434040813d23ed7cee29784a5160cb09fd2541f

Observation bbd496ec-e30f-4906-95ab-9455eda732ca · outbound

This paper cites Qwen2 Technical Report.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Qwen2 Technical Report

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:41:44.876401Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:e7086431ded7521bff0fc75bdf287b38a6804611642496b75ea2b7a7a1971c5d

Observation 30f9a60f-c72d-4a5b-98df-61696b7fbc80 · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.634041Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:a163096ca73ec1fd38d5bebc66046c2b96033c24d4df41016a78ed04abf79126

Observation 1ce9e58f-4d6a-4fe4-ba03-29a7226664db · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism OPT: Open Pre-trained Transformer Language Models

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:41:44.893673Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:a0af8874c8e8beb773612728935dfc95906e7977d69dec2fe39dfaf8b053e40b

Observation 245dae69-bb4f-48ef-8a65-fffaa6c46a3f · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-05-12T17:06:42.636414Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:39a9206cc3b90076570b164356a138eb2ab81e025b6327981ca10352b616166e

Observation 062a0ddd-c2d6-4255-80aa-87d7bc4d697e · outbound

This paper cites an unresolved cited work.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Unresolved cited work

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-12T04:11:22.395391Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:611de7a08914da7229505a4342670caa5a20f90c27dcc4bbae169754d93cf255

Observation f23cb24a-86ae-41cf-9305-c6c214882f30 · outbound

This paper cites Gonzalez, and Ion Stoica.

ResiHP: Taming LLM Training Failures with Dynamic Hybrid Parallelism Gonzalez, and Ion Stoica

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T17:06:42.638664Z

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.

source=pdf_text observed=2026-05-12T04:01:42.265205Z digest=sha256:93a8ef965df934d76c433addc74665c8b0906f5c2b000ba12c4fa7b80c84e3c4

Pith citing papers

No inbound Pith citation observations are available.