Paper Citation Record · LEDGER

Gpt-4: A Review on Advancements and Opportunities in Natural Language Processing

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.03195.

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

pith.paper-citation-record.v1
2305.03195 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:28:22.133041Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:35:06.302391Z

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 445d8fbe-c42f-4526-a14a-cd79a4b33107 · inbound

Evaluating LLM Reasoning in the Operations Research Domain with ORQA cites this paper.

Evaluating LLM Reasoning in the Operations Research Domain with ORQA Gpt-4: A Review on Advancements and Opportunities in Natural Language Processing

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:13.234417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85a9b451-cf28-4e71-a160-48bdbc76f08f · inbound

What Makes a Fairness Tool Project Sustainable in Open Source? cites this paper.

What Makes a Fairness Tool Project Sustainable in Open Source? Gpt-4: A Review on Advancements and Opportunities in Natural Language Processing

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:28:22.133041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7abbd3e2-21b7-45dd-8aa4-70afb6d5a59c · inbound

Tailored Conversations beyond LLMs: A RL-Based Dialogue Manager cites this paper.

Tailored Conversations beyond LLMs: A RL-Based Dialogue Manager Gpt-4: A Review on Advancements and Opportunities in Natural Language Processing

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T18:35:12.495912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fd875c7-9a91-4018-bc0e-c7a636379731 · inbound

Jack Unit: An Area- and Energy-Efficient Multiply-Accumulate (MAC) Unit Supporting Diverse Data Formats cites this paper.

Jack Unit: An Area- and Energy-Efficient Multiply-Accumulate (MAC) Unit Supporting Diverse Data Formats Gpt-4: A Review on Advancements and Opportunities in Natural Language Processing

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:43.233925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3685cef2-d4aa-4b8b-accb-c0d6874884f7 · inbound

Exploring the Landscape of Fairness Interventions in Software Engineering cites this paper.

Exploring the Landscape of Fairness Interventions in Software Engineering Gpt-4: A Review on Advancements and Opportunities in Natural Language Processing

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:35:06.307249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7fa30e7a-7677-4220-937e-f085ffed40b3 · inbound

Orthogonal Hierarchical Decomposition for Structure-Aware Table Understanding with Large Language Models cites this paper.

Orthogonal Hierarchical Decomposition for Structure-Aware Table Understanding with Large Language Models Gpt-4: A Review on Advancements and Opportunities in Natural Language Processing

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T05:31:31.828628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.