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Paper Citation Record · LEDGER

Boosting Distributed Training Performance of the Unpadded BERT Model

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2208.08124.

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

pith.paper-citation-record.v1
2208.08124 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:25:42.756424Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T17:46:47.082467Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e4ae31ce-bcb1-4a3e-8116-e6434251ee34 · inbound

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality cites this paper.

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality Boosting Distributed Training Performance of the Unpadded BERT Model

Reference 110

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:16:26.010020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T12:16:25.390683Z digest=sha256:9c27bf79d46ab62e020e3124eb4ad518043afb136903ce53ccf216d8cd217ef7

Observation 4ed4fc0d-507f-43a2-864f-8ca698d2eb3e · inbound

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference cites this paper.

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference Boosting Distributed Training Performance of the Unpadded BERT Model

Reference 209

Resolution
verified exact
arxiv_id, observed 2026-05-20T17:46:47.084570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T17:46:46.845424Z digest=sha256:74444ea97c5b77b02f056dc05222fe1cfd29c4fe0658f44b6efa644b0bd46daf

Observation b7a65e53-4525-4a5c-b54c-566a1621e8df · inbound

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

LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid Boosting Distributed Training Performance of the Unpadded BERT Model

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T12:25:42.756424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:25:42.756424Z digest=sha256:3b2fb4a3883d56206bd60e9cf4d6951c50975de4c99a9eed2352602fac77fb90