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Paper Citation Record · LEDGER

Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers

As of 7 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 1 inbound Pith citation observation for arXiv:2508.04711.

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

pith.paper-citation-record.v1
2508.04711 v2

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:55:58.214461Z

measured 9 of 9 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T20:38:01.086990Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:17:22.280604Z

Reference resolution

8 of 8 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3505154b-db91-4978-bcd4-5d266aa0129e · outbound

This paper cites TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou.

Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T14:55:58.195086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:55:58.195086Z digest=sha256:17ed3d777d9c5dd2b9197b6d8a9e55b0392653b4a74e24098f69cd2d86dd62c0

Observation e266c49c-a76e-468b-9583-4d30530fb81d · outbound

This paper cites an unresolved cited work.

Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T14:55:58.199004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:55:58.199004Z digest=sha256:bccfff16ca37e6ec30078781f2052cec093aec27fb438426e998b0ea5ecbc106

Observation ebb17320-1e0c-4e4c-82df-142782cd5ca5 · outbound

This paper cites DISTFLASHATTN: Distributed Memory-efficient Attention for Long-context LLMs Training.

Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers DISTFLASHATTN: Distributed Memory-efficient Attention for Long-context LLMs Training

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T14:55:58.201054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:55:58.201054Z digest=sha256:af023645e2e549e1c4f01084796958febe5d30e40ac4e92c4bc23971db977382

Observation 3df6497f-b625-4c02-86a0-33420523eb79 · outbound

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

Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers Ring Attention with Blockwise Transformers for Near-Infinite Context

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T14:55:58.204155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:55:58.204155Z digest=sha256:005e6ca3cc338bbc79a3a3cc5b70d8271655323862505c89ffc59c84626a0f8f

Observation 131d59f5-d1e4-433a-beb6-834852e89a58 · outbound

This paper cites an unresolved cited work.

Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:55:58.324799Z

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=2026-08-06T14:55:58.206684Z digest=sha256:6b73c525b06e3be281040d801b5a83103d6b21e0a44e19a104fde821e764e264

Observation 32e633d8-eef3-4da2-8e70-bbcf4ffa970a · outbound

This paper cites PinnerFormer: Sequence Modeling for User Representation at Pinterest.

Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers PinnerFormer: Sequence Modeling for User Representation at Pinterest

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T14:55:58.208852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:55:58.208852Z digest=sha256:b858218dc96297ae57d58eb5d698cce4ab982f471857eb8251d92a1ec51c4e8d

Observation ef573c90-5fef-4cc0-8c14-6e7f03822c95 · outbound

This paper cites BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer.

Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T14:55:58.211414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:55:58.211414Z digest=sha256:638f2cc63088c1b3171e13b1ccf5651c2f1e1a44ae53723eaa1b1eca765b91c1

Observation 3625df87-df1d-4d33-a0e5-8653cbdebdc4 · outbound

This paper cites Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations.

Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T14:55:58.214461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:55:58.214461Z digest=sha256:01ffb6a461cecbb27a0582ba0008befe448059bf7af1746841932ea0a6038131

Pith citing papers

Observation f171c899-2cd3-45a7-9274-b7ff8713c0fb · inbound

Gated Bidirectional Linear Attention for Generative Retrieval cites this paper.

Gated Bidirectional Linear Attention for Generative Retrieval Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:17:22.281987Z

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=2026-06-27T20:38:01.086990Z digest=sha256:a77e662c3098ebc55107d5013110994303ae557918f56badb42032574877a022