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Paper Citation Record · LEDGER

Language Models with Transformers

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1904.09408.

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

pith.paper-citation-record.v1
1904.09408 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 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:34:41.367744Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:50:41.615151Z

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 83723db5-07e9-4ee8-9e4b-a11baf974b56 · inbound

Encoder-Agnostic Adaptation for Conditional Language Generation cites this paper.

Encoder-Agnostic Adaptation for Conditional Language Generation Language Models with Transformers

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.367744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.367744Z digest=sha256:b57a310074a497df58f12277f336845fec2f58d404d1d113afca95619dfbb7d3

Observation fa6b4a39-08f4-4fc8-bfa8-042a32e12d93 · inbound

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions cites this paper.

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions Language Models with Transformers

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T21:37:04.246832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:37:04.246832Z digest=sha256:00d8ce2e31d77e3a96c2e82ca268a8bc3cd5f9c91649ad7e5110cfd0dc10f46a

Observation 55f69996-85c9-4e86-8bad-52dfa49f7c13 · inbound

Put Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework cites this paper.

Put Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework Language Models with Transformers

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:50:41.620403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:50:41.288478Z digest=sha256:2f57308c5d7e7e88b07916c5c5f15f9ee648240a9c0ee5c42d3df44ab80341d3