Paper Citation Record · LEDGER

On the Challenges and Opportunities in Generative AI

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2403.00025.

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

pith.paper-citation-record.v1
2403.00025 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:57:41.092318Z

measured 1 of 1 external citation measurements

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

17
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 2e3c9c28-dbe7-4ca4-8a87-384365862a04 · inbound

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data cites this paper.

Rendering-Refined Stable Diffusion for Privacy Compliant Synthetic Data On the Challenges and Opportunities in Generative AI

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T19:57:41.092318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5de90922-d3cd-44f0-aae2-8766e965eff0 · inbound

Progressive Monitoring of Generative Model Training Evolution cites this paper.

Progressive Monitoring of Generative Model Training Evolution On the Challenges and Opportunities in Generative AI

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T13:49:04.750290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c08edd0f-32d1-4647-8d89-46123a310647 · inbound

Understanding Design Fixation in Generative AI cites this paper.

Understanding Design Fixation in Generative AI On the Challenges and Opportunities in Generative AI

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:41.102231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d8d9356-38d9-496b-88b4-688d2cf232e2 · inbound

Pretrained LLMs Learn Multiple Types of Uncertainty cites this paper.

Pretrained LLMs Learn Multiple Types of Uncertainty On the Challenges and Opportunities in Generative AI

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:44:21.608634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7511ee99-1683-4898-aa61-cd060f36bccf · inbound

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning cites this paper.

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning On the Challenges and Opportunities in Generative AI

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:39.059373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df7530b3-64b9-4442-a205-cac519959ee1 · inbound

FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion cites this paper.

FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion On the Challenges and Opportunities in Generative AI

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T10:41:45.369860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9de933dd-79e1-440d-ac5d-ce0e5f67977c · inbound

Contextual Memory Intelligence -- A Foundational Paradigm for Human-AI Collaboration and Reflective Generative AI Systems cites this paper.

Contextual Memory Intelligence -- A Foundational Paradigm for Human-AI Collaboration and Reflective Generative AI Systems On the Challenges and Opportunities in Generative AI

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:15.014649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2be78c29-db3a-4881-a588-6c971ed7da83 · inbound

Beyond N-Grams: Rethinking Evaluation Metrics and Strategies for Multilingual Abstractive Summarization cites this paper.

Beyond N-Grams: Rethinking Evaluation Metrics and Strategies for Multilingual Abstractive Summarization On the Challenges and Opportunities in Generative AI

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:32.479772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ba8f7dd-8879-4182-b322-faf99bed3029 · inbound

AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions cites this paper.

AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions On the Challenges and Opportunities in Generative AI

Reference 176

Resolution: unresolved; no resolver link, observed 2026-08-04T17:04:42.788605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df5feeae-1209-4c15-be6e-6381851bade9 · inbound

The Annotation Scarcity Paradox in Low-Resource NLP Evaluation: A Decade of Acceleration and Emerging Constraints cites this paper.

The Annotation Scarcity Paradox in Low-Resource NLP Evaluation: A Decade of Acceleration and Emerging Constraints On the Challenges and Opportunities in Generative AI

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:48:13.016642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 32c2805a-eb50-4e21-8e9e-030723f8828d · inbound

The Annotation Scarcity Paradox in Low-Resource NLP Evaluation: A Decade of Acceleration and Emerging Constraints cites this paper.

The Annotation Scarcity Paradox in Low-Resource NLP Evaluation: A Decade of Acceleration and Emerging Constraints On the Challenges and Opportunities in Generative AI

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:14:59.825609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bca3774e-e64c-459c-b18f-26d30459a946 · inbound

The Annotation Scarcity Paradox in Low-Resource NLP Evaluation: A Decade of Acceleration and Emerging Constraints cites this paper.

The Annotation Scarcity Paradox in Low-Resource NLP Evaluation: A Decade of Acceleration and Emerging Constraints On the Challenges and Opportunities in Generative AI

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-01T07:15:29.718615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b9eac590-3cc0-4341-a3da-0d0ce370ddc2 · inbound

Training-Free Quantum Generative Paradigm via Local Parent Hamiltonians cites this paper.

Training-Free Quantum Generative Paradigm via Local Parent Hamiltonians On the Challenges and Opportunities in Generative AI

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:04:00.443520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1f3d5e27-b2b6-474e-ab83-ac5078baab13 · inbound

Physics-informed Conditional Normalizing Flows for Angles-only Cislunar Orbit Determination cites this paper.

Physics-informed Conditional Normalizing Flows for Angles-only Cislunar Orbit Determination On the Challenges and Opportunities in Generative AI

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T06:15:26.487797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.