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Paper Citation Record · LEDGER

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism

As of 17 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2507.00394.

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

pith.paper-citation-record.v1
2507.00394 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:23:57.277715Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7e1ce8b1-d90e-4d44-aa5a-9af96869b2d4 · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:53.692087Z digest=sha256:023b932e2a083d538838f569ca0c88247695ec064ad6618136278bcddd00a142

Observation f03e460f-d1ae-44fa-87fa-24e56ad829d0 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 2

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source=pdf_text observed=2026-08-06T21:23:53.746363Z digest=sha256:a0d31d570724713ca6222430bb613c919e68d005ccc3d0fcf06ee06d5735ef39

Observation 66aefc22-c41f-47d0-bc87-337c72c6d552 · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-06T21:23:53.811024Z digest=sha256:7efc02b006f68f888e650548039bfc60b4b0478ffc9a36bf8d53d158b3ca1e1f

Observation b70e40e5-1bd8-4f25-995e-f354d2900947 · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:53.919535Z digest=sha256:d70fccc16e7512dde6336df83041a6faddb17313949e5f93d65d4cc15fd82055

Observation 21f8fc66-b51f-404f-81b0-df1cb9960068 · outbound

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

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 5

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source=pdf_text observed=2026-08-06T21:23:53.999056Z digest=sha256:42c672ddd6540f0d66f5f7894afef06d3e84cb5663279650fdb39a7441d3cd74

Observation 54decfe8-aaa5-4a55-b2cd-4e8452080815 · outbound

This paper cites The Llama 3 Herd of Models.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism The Llama 3 Herd of Models

Reference 6

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source=pdf_text observed=2026-08-06T21:23:54.092188Z digest=sha256:3e75396359e90cf342cdf97f0f86b0e9ad54281f34741001d800f154ef90b488

Observation dcb32a89-63da-4874-8717-6f75d9ec2454 · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:54.176929Z digest=sha256:fa8c36eb4f70731159f84ca0aa12acfc1c4ea9cb35a8d5593872fb16dcb14261

Observation be9fd903-38b4-4e0a-8481-7b47fc283194 · outbound

This paper cites USP: A Unified Sequence Parallelism Approach for Long Context Generative AI.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism USP: A Unified Sequence Parallelism Approach for Long Context Generative AI

Reference 8

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source=pdf_text observed=2026-08-06T21:23:54.265899Z digest=sha256:cfba7240eddfc84f17c7dbb3abfcbcf0c125ed084ed32bed0f72a0c11c731537

Observation 3f67d6b1-d963-4268-a4a4-1d4dc9069aeb · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:54.334328Z digest=sha256:5786802d559313b4816ec94690f142f5ad6c2e5e59b51d61952374c0bbb5df54

Observation cf242950-5162-4173-b51c-d5953b8efc5d · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 10

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source=pdf_text observed=2026-08-06T21:23:54.404334Z digest=sha256:3ff14d4a1bf8066463e0667f475f3b7b2ec1c822d5c4cedda6d339a2824d5849

Observation 3bf1575b-0bec-47a3-ba93-aac7a1855d34 · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-06T21:23:54.494880Z digest=sha256:7f6d8cb6be31050ebe3b15e756b9231278bf6aa085d7983718183eb5290cf651

Observation 66212a3d-1f92-43db-9a54-34f11a449e39 · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:54.569804Z digest=sha256:5c0dd792332b9ef9f812b18a11238a5f29376f46860d1fa6d51d1d6142e6d633

Observation 7d32cd38-de21-4a71-8530-10df60b90716 · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:54.690197Z digest=sha256:b4efcf946262e0beef594b748785d14f8d2b8fd0475b2f2b66c8a9fa5c994d57

Observation 38e3f04f-ecb9-43ab-82b0-76250608e5e0 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 14

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source=pdf_text observed=2026-08-06T21:23:54.753887Z digest=sha256:efd82aeea533fce5e63180c29985f599cd25cc581606929e858c6a09e4e62054

Observation d222a1c7-1200-4e39-b55b-f32c37388b0f · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 15

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:54.870535Z digest=sha256:abdb27182e01398f55409cdb596d175267a76d0118f446da50f370d4ad0e616a

Observation 75e023c8-4dbb-472d-8327-ff54db289f5f · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 16

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:54.923264Z digest=sha256:225112e577eee85f9b847d2a7c41a23508374edd6f4b8f3d9de56dbb0bc8df7b

Observation 3f8a2902-375a-4ecf-8504-336ee7d3c488 · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 17

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:55.008323Z digest=sha256:c0b9bacc172b814280334d24b487172cb33060de9169d04c9d616cdbfd18b09f

Observation dba36695-6cf5-4dc5-b602-1174f066fd7a · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 18

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a13e50ff-8e12-4612-93f3-33d0edf1b02b · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 19

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:55.160694Z digest=sha256:f4e44b3e66eb041ac00998cb3dca178ed9087f24d3b527106c831722dc823cfc

Observation 496d1de6-7dbf-4d6d-a431-8506ccc2940e · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-06T21:23:55.248788Z digest=sha256:65c8d90d219d4c38539cdf6b699d0ef64ed93d296f2aec904402855f6751964d

Observation e6514cc5-8d59-424b-8b58-da03c8ca28b7 · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 21

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:55.321069Z digest=sha256:6bef25946e9593ef5bd2552c463d97edc67f454c6a7f829bbe90faad400fb041

Observation 129cf0d0-9a86-4868-a4c7-63d8842fdc76 · outbound

This paper cites DeepSeek-V3 Technical Report.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism DeepSeek-V3 Technical Report

Reference 22

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source=pdf_text observed=2026-08-06T21:23:55.472812Z digest=sha256:a76c95547693a4b0f5cd4046334e063c89bd9fc5541cc2a44f4dd4439f30bf51

Observation 7597863a-0a1f-446a-8451-2bcf32160e0c · outbound

This paper cites Ring Attention with Blockwise Transformers for Near-Infinite Context.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Ring Attention with Blockwise Transformers for Near-Infinite Context

Reference 23

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source=pdf_text observed=2026-08-06T21:23:55.547812Z digest=sha256:6910d7cb668f625bc4390ba79e3ff62f4a24e9781c3e63542f248b77bb6f46e1

Observation 7eb2167d-ce4f-4764-af10-9b5ce2063e66 · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 24

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:55.658827Z digest=sha256:b6fb47de74e6152684ecb2ca8e4ac352113736ea02eb72d305a9289fca366758

Observation 25162bd5-444a-425d-af0b-3bf046a04a9a · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-06T21:23:55.772412Z digest=sha256:8363fe9d780cb4bcf4518e193e464c3cbadbd5a02cc858431d8deff70020a445

Observation f93070be-af65-4dea-aca7-a4a0661841af · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-06T21:23:55.834829Z digest=sha256:8105176fd6f3ae36276a8bfe70ce2a28b4e02ef28dc97590559edca1606e2f9c

Observation 435abde4-0717-400b-a9a4-406356bea774 · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-06T21:23:56.007833Z digest=sha256:96041675c8a86246c9424bc43cbc0ad3a8cd1aa6554bd46ade7dd6953782ac13

Observation 390127d0-7036-452f-8b3b-a56c778b71e1 · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:56.102723Z digest=sha256:cd91a96d560fd1ea348cd0fd2cafd785f8db9ec47449b02468c7861df9dc3ce4

Observation 9104f383-fd2f-4ba4-a83a-94871ccb3d13 · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:56.175810Z digest=sha256:44443bbf5dbf0e98922348e58e6d8dddb9f0ad2936156abeeb53642a0c7b08bc

Observation e1d62b35-5f9b-4b53-856b-f7595985923a · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 30

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7e56b1ac-78c8-4e80-88a3-a974a0c0f45c · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:56.383276Z digest=sha256:dd55b04bf49cfe21d7a58a40b4b915dab57ed4ecd31bceb73d4552235f37e96c

Observation ea0ebc7b-b993-49d7-94e8-fc6b8241f4d4 · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-06T21:23:56.489085Z digest=sha256:acfb3a1c4360f865ce7d66dc4e794719124ce1ea64b57bf5d9bd4bf59d0222c3

Observation e7c3f6c6-ac7c-4cf5-9afb-2a483388e045 · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 33

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raw_fallback, observed 2026-08-06T21:23:58.592539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:56.580033Z digest=sha256:7938f97fd27dc6b3e8cdb529830b399b9cfe634c0977ed338eec3770c0cbabfe

Observation cf26fdbf-5e54-4254-a548-6a186cf0043b · outbound

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

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 34

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:56.666910Z digest=sha256:8a5f506f49eed25c715748c1f04bb87a75c9f47c5b6dd85df8ceb0da7e10e735

Observation 6b19b1a6-196f-4ef6-8832-f7b171ef148f · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 35

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raw_fallback, observed 2026-08-06T21:23:58.414552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:56.734991Z digest=sha256:cb18fc5486722d6e4e056d58a8685a150be3ab373f145a545f47064f3f5eb708

Observation ad5e93b9-61d4-48e6-8908-e607a079ba83 · outbound

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

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:56.821030Z digest=sha256:eab9c724e612d7304e72b55be33a7d9774f3f4c1283c9edeca4ca8573829659d

Observation 9bf4fe87-cc1b-4a75-bb18-3290431fac3d · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism LLaMA: Open and Efficient Foundation Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:56.891434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7ed9074f-8eac-4128-bbf6-7a483de12b80 · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:23:58.279592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c82eb653-57bb-45e8-9fbc-20fe622ca4fe · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:23:58.124578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:57.059904Z digest=sha256:11c9bdb8deac21cc77c926e862ca4032eb8ec1512f29aa4a4448fe6c50ba592b

Observation bc1cfb32-aa57-4df2-9948-297a09d1b946 · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:23:57.976974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8f143952-21da-46b3-a843-a11580c1b94f · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:23:57.785876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:57.193802Z digest=sha256:4a985ff14d57a068253d75da76b97e529155a0a4e40b891e27f3f19cf536e5dc

Observation e572460a-fb9b-4cdd-80d9-a1e0c7b32e2c · outbound

This paper cites an unresolved cited work.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:23:57.612096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:57.277715Z digest=sha256:5d1b7ef04fd715664c80fa86971a7c36a8c47fbb4ed503407d73fec7b4f1aa2a

Observation 3a94528f-2750-4aff-9239-166fc2f14c28 · outbound

This paper cites InInternational Conference on Machine Learning.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism InInternational Conference on Machine Learning

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:23:59.523899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:55.917433Z digest=sha256:02398b0ecbc7e436deb0b1cd8ee3c1bcf1236ab77846821115eadb0805a14a21

Observation e8fffe23-9abb-4695-9a38-f20ab03c119e · outbound

This paper cites In Proceedings of the 43rd ACM Symposium on Principles of Distributed Computing.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism In Proceedings of the 43rd ACM Symposium on Principles of Distributed Computing

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:24:02.251674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:54.633412Z digest=sha256:2eb59bd1f0204ba3cf6b0fac42f77a53ed10f7de44d4b25d18fb445c18dd543d

Observation 83645299-c5fe-42fc-b7bc-3a15e5c91e50 · outbound

This paper cites In Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming.

HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism In Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:23:59.859672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:23:55.387069Z digest=sha256:4bf883e25ba19a38160d1b8bf31355bf00a8c3d4ed85ddd42c405434ed4603b7

Pith citing papers

No inbound Pith citation observations are available.