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Paper Citation Record · LEDGER

Language Modeling with Deep Transformers

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1905.04226.

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

pith.paper-citation-record.v1
1905.04226 v2

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 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:36:57.119274Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T13:20:26.498797Z

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 f34d0720-8961-46bc-94ec-888164626f3f · inbound

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems cites this paper.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Language Modeling with Deep Transformers

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.119274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.119274Z digest=sha256:2fe211a886d5d3c6bb2787c884f86842032ba41da1a036a9b840b0726d3e887e

Observation 74dcb4ce-8136-4d34-ac50-e4d4f8d79816 · inbound

Hyperpruning: Efficient Search through Pruned Variants of Recurrent Neural Networks Leveraging Lyapunov Spectrum cites this paper.

Hyperpruning: Efficient Search through Pruned Variants of Recurrent Neural Networks Leveraging Lyapunov Spectrum Language Modeling with Deep Transformers

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:07.989337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:07.989337Z digest=sha256:b666b3a1371cef0627dba5d917878006cf9dd88bc6ea747eaddb6d6e5b4c6ee0

Observation ce89b01d-cea5-4d53-a6a0-fc4884055df5 · inbound

Diffusion Language Models for Speech Recognition cites this paper.

Diffusion Language Models for Speech Recognition Language Modeling with Deep Transformers

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:20:26.500247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T13:12:19.436805Z digest=sha256:ae4a0105dea9974c7db4e3347dd9d8b0f0fcb52d9b96b8c301299a7277ebf878