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Paper Citation Record · LEDGER

Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers

As of 13 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 2026-08-13T06:32:02.005865+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:effc3b5968641dc29af6030f426c0febb1cdbadecc03f67710f7cf1ebb8d2a2a

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:f7c3a53c106af40c6fc9bb870397b8fbd02467709d31a9535f2299d9d1bb60c8

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=sha256:93d75d571180bdeb07e720d4a1777d32a4cf8d057d2bef1a0e82b967f2c25b13

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:a3308301228f8c3692f1a7e9457bfd4eedd0ca98988def5659f03e36881a769c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:55:58.206684Z digest=sha256:1eaa76b86f6f78448d630863a136001b992a15b32a6cceba452ed96f0b0c5e2d

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=sha256:9b20f134167f443aa8efcd4bdc44a53b89a01daf7bc78f14881fcc0aba886fdf

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=sha256:7e3e1f29965c6f2680ab274ac0bf384fe7826d16d357dc70a407f18871d37f36

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=sha256:7fdd00d7fb5de618eea9996f4419cb5b2867772dcb131679555ffcb1fe2b9bf2

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T20:38:01.086990Z digest=sha256:853916660bfc3018800f9652160a1c1c2338fe4ef2e3ec84908d7813c7c8d935