Paper Citation Record · LEDGER

The Generative AI Paradox: "What It Can Create, It May Not Understand"

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2311.00059.

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

pith.paper-citation-record.v1
2311.00059 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:32:42.991740Z

measured 0 of 1 external citation measurements

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 cf0c0a9f-3d93-473c-a15a-46fefcf4982c · inbound

Code Simulation as a Proxy for High-order Tasks in Large Language Models cites this paper.

Code Simulation as a Proxy for High-order Tasks in Large Language Models The Generative AI Paradox: "What It Can Create, It May Not Understand"

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T04:32:42.991740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7c1b828-c1c0-42c1-a429-b2c547f8eb26 · inbound

Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Art cites this paper.

Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Art The Generative AI Paradox: "What It Can Create, It May Not Understand"

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:04.582523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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.