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Paper Citation Record · LEDGER

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence

As of 15 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2608.06838.

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

pith.paper-citation-record.v1
2608.06838 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:57:05.616356Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

36 of 36 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved32
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da94a7fa-aae3-407e-b3de-12074d8da3e5 · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.463867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.463867Z digest=sha256:9d0f0c887507ea98b19b5957d0946198e531d9e023e0f2d5a8cabc9cf9b3966d

Observation 816b90ff-420b-4ed3-addc-bcb72f1d0db5 · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.473173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.473173Z digest=sha256:aa2adab3f56a1f514f3e207713b9106d3e9c531d88bb6b434df6d3f841094844

Observation 1284c79f-6509-406a-985a-7c215922dd39 · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:57:07.053633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:57:05.477372Z digest=sha256:1610bbaa26a38e51e1c4a3bcb4cf2e848f7272b36a100b6f730621680355846e

Observation 60cdc13b-a3dd-4104-add8-b699a61b855c · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:57:07.043500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:57:05.480848Z digest=sha256:d30e9921cdb653d3a7d1ebe3f489c36594d3f8e401baebe9bc162e0486008a83

Observation 171361e6-12dc-43dd-a9fd-0a491d1b163f · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.484933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.484933Z digest=sha256:b5c2bfbd1627044e8d1fc9ab52e3901ce5cd84b08ac664038e3d98ca0b951dc3

Observation bddb21fc-370c-4677-9d8d-ebc8db6891ef · outbound

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

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence USP: A Unified Sequence Parallelism Approach for Long Context Generative AI

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.488654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.488654Z digest=sha256:6eabb9f99c0b31a2d4865cadcfb39849dd8db33a0467cfcba8f3a4917942b317

Observation 4d27e6f9-b64d-4cb2-9e20-fcbdeeaa9443 · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.493146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.493146Z digest=sha256:36cfd75fa2aa4423046cb4dfe1370988bf4573e5c0983c35998338650685b12a

Observation ca00a9a7-dcaa-43bd-ad4c-c0b761e60867 · outbound

This paper cites LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.496787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.496787Z digest=sha256:2fb5b749ed7d70979642574ac63a369b7397234951763ca568d8d59acfd497c3

Observation ed83271a-2a78-4439-8a36-5d06e77d4ba8 · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:57:07.025089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:57:05.500369Z digest=sha256:bbb6bc67a4eccd1295a6010ec0dd5bfa623dd753e689b143023f2073b4df2004

Observation 95a9017f-7306-4185-8c38-af1f08da1cfc · outbound

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

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.504418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.504418Z digest=sha256:0fad6fe06b8d4539b97180aa105c7deddf46c02c642f91bf383d8d256896deb1

Observation 45d47688-b16b-4120-a51f-2ce648d42005 · outbound

This paper cites Kimi Linear: An Expressive, Efficient Attention Architecture.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Kimi Linear: An Expressive, Efficient Attention Architecture

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.509153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.509153Z digest=sha256:3ced3495a5378a78b362370403727af8955e9b46188c78528b6409d2b1e01154

Observation f9099425-22a2-458e-827e-c29140642025 · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.513700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.513700Z digest=sha256:a49b348a5a3d46a514123a8dcc3db09de36ceb048dcb653cba194926f29b408c

Observation f3ff591b-047a-480e-8087-1dba5c36d29d · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:57:07.012999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:57:05.517584Z digest=sha256:1a0d001fc8ba7e142260b99e7fb18e3f2a1e562c0d0a78b959077d72da0e56d2

Observation 5e8ed09a-5c07-43da-8e86-ff94ce3421ff · outbound

This paper cites Li, Berlin Chen, Caitlin Wang, Aviv Bick, J.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Li, Berlin Chen, Caitlin Wang, Aviv Bick, J

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.521481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.521481Z digest=sha256:9047afaa4ec431a24bde48c460a93a5c1fb3ae0e83cef09155fc5472939b155b

Observation 56ee64e2-1c03-4b17-b1df-db999ba28714 · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:57:07.000458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:57:05.526056Z digest=sha256:e474b44bebea1b0b2be571b7d3f2363a2f094dcd56c9098f7238ab29ffd54f4b

Observation 90196ab4-f3c0-4a72-b9b1-a0b43f22e106 · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.530406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.530406Z digest=sha256:9f23b2e454829ebe9a90e4e9352fb8bc280d07ebc7b688fdbfbb333d5148dc2c

Observation e1278f18-18ba-475d-901b-290c5ec29869 · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:57:06.989144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:57:05.534580Z digest=sha256:cad8aa25f7b8f67cd682ed18a87ea8c474557f8250c8ef6e7044b38ce9e899b0

Observation 94b51da7-0aff-4f7a-86f5-c208ce957d47 · outbound

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

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Jamba: A Hybrid Transformer-Mamba Language Model

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.538797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.538797Z digest=sha256:a750cbc22bb0ec2eb84a894be53c7c734c050f8880d19af7684cd9e2b40ef7c7

Observation 3986979d-bfda-4e13-a515-433da1f5ce6d · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:57:06.978586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:57:05.543121Z digest=sha256:bbb16b97bb14f46083fd251c5517ff3829136f353428a10e74bc8ed7ae8d8109

Observation 1e91ae4f-8530-4076-b7b9-9522ca2bcb42 · outbound

This paper cites Devanur, Gregory R.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Devanur, Gregory R

Reference 20

Resolution
malformed identifier
no resolver link, observed 2026-08-10T19:57:05.547152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.547152Z digest=sha256:fec16792c66b6508b179d0537b1a68a8d71eba7dba848d38ab18f34480a948c3

Observation 1155e2ce-dddc-420b-8aa8-2baa2ed6c864 · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 21

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unresolved
no resolver link, observed 2026-08-10T19:57:05.551502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.551502Z digest=sha256:0f06136a7029f8813f5b9eae2f49efd94b9981861d61de3a48baaf9f3da4cd2b

Observation 9f61dca9-cf5d-4205-9946-ed6ddd726135 · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.556601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.556601Z digest=sha256:c86a6ea92ee01e0e724c2d58f89be94e9e9d15cfc148221b7ce410f8e2eed9c8

Observation 7de36809-32e4-47ba-99fe-4aa1cc38a055 · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 23

Resolution
verified exact
doi, observed 2026-08-10T19:57:05.659715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:57:05.560191Z digest=sha256:bc0571f8348f9c96921307999022f2cd8711df20a2ebae616aa7b7cc476f7867

Observation ab5e23c2-e23c-4516-86ab-95babfd3e15a · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:57:06.967851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:57:05.564850Z digest=sha256:17dab0db622b9a1f8b883cd54b01b9d4edfefb6ae6f1f7752a73e4a5911a9d70

Observation 2bffc973-cea6-4ae0-ab3a-594009952d7c · outbound

This paper cites Generalized Slow Roll for Tensors.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Generalized Slow Roll for Tensors

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.569115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.569115Z digest=sha256:1da7ea4473a712969a05d173539e84011bbd72ee26adbbc774095b66c4cc9bd5

Observation 0b3829f3-9d12-49c0-b47b-b59f621b4fba · outbound

This paper cites StateX: Enhancing RNN Recall via Post-training State Expansion.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence StateX: Enhancing RNN Recall via Post-training State Expansion

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-10T19:57:05.827597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:57:05.573265Z digest=sha256:83424ad3a637a1d8eee738247bfd1366c9c882370900a449de9196021ce7f4bf

Observation 753b23f5-b168-4d3c-bd79-02087200d2f4 · outbound

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

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.577513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.577513Z digest=sha256:4e7a1cc60680367e9fa442fdbaa903dd71c5bb4928ff33c268645ea3cd36f3ef

Observation 0c601889-27bb-4395-96a4-5ae0b6cac7fd · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 28

Resolution
malformed identifier
no resolver link, observed 2026-08-10T19:57:05.587545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.587545Z digest=sha256:177803fef14b3f5efad0d053e8a5e489459a7f78b662e25457190e7f102a7f4d

Observation df0a3372-aa63-416a-912f-8592e7b395b1 · outbound

This paper cites LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.591512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.591512Z digest=sha256:00d0912badd61d2d5221d9c34fe6365ad9297a874a6f8c20693b51b47f903391

Observation e2228989-7a5d-43c8-a04c-136531bd43a5 · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.596299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.596299Z digest=sha256:d49696c421aefb5197f5577f018b62863e65232f7e94ae042ce6ad47319b2d44

Observation ff80c3e8-133a-4559-b52c-fec85d16cb47 · outbound

This paper cites Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.600689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.600689Z digest=sha256:82873a392cb21d8106f69bb56f510e15b032aabeb346fe4fa23b488adce85ebf

Observation cdeaeada-f6dd-4d21-b92e-7ca5843b9f68 · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:57:06.949920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:57:05.604952Z digest=sha256:f4c9e561be55188690112e8b20a7a72f80cf21c07e5539425f493147210ef0a3

Observation 1ad5ab69-563f-4867-89b6-cb332d870db7 · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-10T19:57:06.936770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T19:57:05.608430Z digest=sha256:ed674aef9215468c2f580c152f93a175a3c7fdf5609b8e50bca9ec96eeb034c5

Observation 18ebbcb3-d646-49f8-a0f6-2286afd14a22 · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.612118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.612118Z digest=sha256:dc21e03f3b6c4bae916692cea0e7d6787d126f06c9ff86b144def87068a8ea8f

Observation 11b1bdc8-5392-47b9-ac9d-edea6abd0072 · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.616356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.616356Z digest=sha256:b39a663a54b5a2fb0bd5c3e5acb16bf5bbc0ee6745b5ada82cfec2067911553e

Observation 1797dbe9-c396-48a7-9a91-d05b9fa08480 · outbound

This paper cites an unresolved cited work.

StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence Unresolved cited work

Reference 4901

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:05.469097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:05.469097Z digest=sha256:fefeba878bc92af05d9b1909788c889394a7b11584e84ee9993b1c5bc7878216

Pith citing papers

No inbound Pith citation observations are available.