Pith. sign in

Paper Citation Record · LEDGER

An Overview on Language Models: Recent Developments and Outlook

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.05759.

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

pith.paper-citation-record.v1
2303.05759 v2

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:43:58.284846Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:51:07.329647Z

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 1ff1b1d8-db35-4bd6-88ee-924cc20873d2 · inbound

Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma cites this paper.

Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma An Overview on Language Models: Recent Developments and Outlook

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-08T11:43:58.284846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:43:58.284846Z digest=sha256:35b26ffd37da84b6b2e4d068f3e74f3c0a22d8037e26b0b1a554ce2d6565058e

Observation f71c8f65-4d90-4e3f-8b4e-1fefc63f41f9 · inbound

Perturbation is All You Need for Extrapolating Language Models cites this paper.

Perturbation is All You Need for Extrapolating Language Models An Overview on Language Models: Recent Developments and Outlook

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:51:07.335387Z

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=2026-05-08T17:05:17.086619Z digest=sha256:9ad2902b5ff5068e960d688f08e6df8b53b6a1a45820e159b75f6fc2f2d4fd76