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Paper Citation Record · LEDGER

LightSeq2: Accelerated Training for Transformer-based Models on GPUs

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.05722.

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

pith.paper-citation-record.v1
2110.05722 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:33:12.988266Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T01:12:48.296214Z

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 37a50796-4c88-4cd4-b113-54e43a0d7d89 · inbound

Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation cites this paper.

Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation LightSeq2: Accelerated Training for Transformer-based Models on GPUs

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T20:33:12.988266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:33:12.988266Z digest=sha256:033477291f55daf4d570962c0b165dc182f7d0244ca5e143044b6494daecc7a9

Observation de93e740-306e-4720-b64c-b46d5a14bddd · inbound

Two Heads Are Better than One: Simulating Large Transformers with Small Ones cites this paper.

Two Heads Are Better than One: Simulating Large Transformers with Small Ones LightSeq2: Accelerated Training for Transformer-based Models on GPUs

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-07T01:12:48.303846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T01:12:48.245834Z digest=sha256:837e9bab7f5e5adbb8a021d86ff1b3d2652e00525c752a071654657c0a2680d8