Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ChatGPT is not all you need. A State of the Art Review of large Generative AI models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2301.04655.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:41:35.736633Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
245
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 74332f51-d192-424b-bbb5-d1e05fb4266b · inbound
ART: Automatic multi-step reasoning and tool-use for large language models cites this paper.
ART: Automatic multi-step reasoning and tool-use for large language models ChatGPT is not all you need. A State of the Art Review of large Generative AI models
Reference 149
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T19:03:06.243460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cdfaa733-5461-4a79-b4c1-6df9665806ef · inbound
Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks cites this paper.
Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks ChatGPT is not all you need. A State of the Art Review of large Generative AI models
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T06:20:15.996237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fbd761ed-1749-44dd-99a5-91b31a17b997 · inbound
CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology cites this paper.
CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology ChatGPT is not all you need. A State of the Art Review of large Generative AI models
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T03:58:51.440616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bb493cea-7fcd-4edf-8ada-f0e16971fca3 · inbound
Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts cites this paper.
Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts ChatGPT is not all you need. A State of the Art Review of large Generative AI models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T03:08:48.005528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e129a29e-1ca5-4db0-ae0c-e0e1a4f55558 · inbound
Detoxify: A framework for abusive text transformation using LLMs cites this paper.
Detoxify: A framework for abusive text transformation using LLMs ChatGPT is not all you need. A State of the Art Review of large Generative AI models
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:41:35.736633Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 548f7d04-07c4-4e4a-996d-d2bb0275a37f · inbound
AI-Powered Sustainable Finance: An Integrative Taxonomy and Framework of AI Applications for Sustainable Investment Decision-Making cites this paper.
AI-Powered Sustainable Finance: An Integrative Taxonomy and Framework of AI Applications for Sustainable Investment Decision-Making ChatGPT is not all you need. A State of the Art Review of large Generative AI models
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T19:13:52.577525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 062133bc-4fd7-4a8f-951b-92886ea8e451 · inbound
From Prompts to Context: An Ontology-Driven Framework for Human-Generative AI Collaboration cites this paper.
From Prompts to Context: An Ontology-Driven Framework for Human-Generative AI Collaboration ChatGPT is not all you need. A State of the Art Review of large Generative AI models
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T05:53:08.927561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 500f3f0e-8790-4725-8591-a002a949d636 · inbound
When LLMs Invent Rust Crates: An Empirical Study of Hallucination Patterns and Mitigation cites this paper.
When LLMs Invent Rust Crates: An Empirical Study of Hallucination Patterns and Mitigation ChatGPT is not all you need. A State of the Art Review of large Generative AI models
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T23:17:29.369179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d16dd51d-00b7-4f4a-b333-91958efe8d4b · inbound
Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering cites this paper.
Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering ChatGPT is not all you need. A State of the Art Review of large Generative AI models
Reference 80
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T22:55:06.295738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.