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Paper Citation Record · LEDGER

Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2111.01243.

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

pith.paper-citation-record.v1
2111.01243 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 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:40:48.114461Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T20:28:39.443541Z

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 2fbe8e9a-cf18-4b84-abd3-ec7f6c7ef884 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:28:39.444967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:9fa68f022c535ce96f735932c9872c07cc7f3405ab1455cf456e1152343341f3

Observation 605db371-9f99-47a2-9154-5243fa710736 · inbound

RefSAM3D: Adapting SAM with Cross-modal Reference for 3D Medical Image Segmentation cites this paper.

RefSAM3D: Adapting SAM with Cross-modal Reference for 3D Medical Image Segmentation Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T20:39:32.449469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:39:32.449469Z digest=sha256:5009ab12a37a0ceff2f83fc33a54529e67f60783642612753cadc229decd94c5

Observation e2a98262-3fbf-4325-a64a-404272b06c67 · inbound

Bringing legal knowledge to the public by constructing a legal question bank using large-scale pre-trained language model cites this paper.

Bringing legal knowledge to the public by constructing a legal question bank using large-scale pre-trained language model Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T23:40:48.114461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:40:48.114461Z digest=sha256:e307f130c651a82869b350675247c8e7c0dd66788a34eca78378f36d1d7c9e4a