Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Generative AI Paradox: "What It Can Create, It May Not Understand"
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.00059.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:42:34.086763Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T05:59:38.299326Z
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 a061f6be-ffe3-4212-853d-8101b4619921 · inbound
Energy-Based Transformers are Scalable Learners and Thinkers cites this paper.
Energy-Based Transformers are Scalable Learners and Thinkers The Generative AI Paradox: "What It Can Create, It May Not Understand"
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:42:34.086763Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f973977d-8271-4b9a-8f9c-52c81ae64b04 · inbound
SymbolicThought: Integrating Language Models and Symbolic Reasoning for Consistent and Interpretable Human Relationship Understanding cites this paper.
SymbolicThought: Integrating Language Models and Symbolic Reasoning for Consistent and Interpretable Human Relationship Understanding The Generative AI Paradox: "What It Can Create, It May Not Understand"
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:57:28.675693Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e1b9ffc-254c-400e-8a06-bb593df463a2 · inbound
Implicature in Interaction: Understanding Implicature Improves Alignment in Human-LLM Interaction cites this paper.
Implicature in Interaction: Understanding Implicature Improves Alignment in Human-LLM Interaction The Generative AI Paradox: "What It Can Create, It May Not Understand"
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T03:00:48.255428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f40fde53-c284-4f27-a55e-5b7addb61dba · inbound
The Metanym Game: A Self-Contained, Self-Consistent LLM Peer-Community Benchmark for Structural Intelligence cites this paper.
The Metanym Game: A Self-Contained, Self-Consistent LLM Peer-Community Benchmark for Structural Intelligence The Generative AI Paradox: "What It Can Create, It May Not Understand"
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T05:59:38.301521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e790cebc-bb1a-4fbd-b282-6369caff9acf · inbound
The Metanym Game: A Self-Contained, Self-Consistent LLM Peer-Community Benchmark for Structural Intelligence cites this paper.
The Metanym Game: A Self-Contained, Self-Consistent LLM Peer-Community Benchmark for Structural Intelligence The Generative AI Paradox: "What It Can Create, It May Not Understand"
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:18:37.880097Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.