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Paper Citation Record · LEDGER

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2303.04226.

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

pith.paper-citation-record.v1
2303.04226 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:27:19.498285Z

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

404
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 ef1f6618-09c3-4d83-9b72-8a3e9a64141e · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:46:40.770736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:c1a2ac1a03eec191093dafcf34042a99dd744a7c61f63beb3805b332807238d3

Observation 4e7c9d58-1b5c-4dc6-a53b-c234a591fe48 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:46:27.333553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:f64de815846a0a392b236db88edfb871088da927cd1e4c298afdb001b716ea4a

Observation e70f0a54-434d-4363-9588-8a1573dd1880 · 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 A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:58:51.410600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T03:58:32.556725Z digest=sha256:0748e6dace6d07c151780a94d96d960ae075e422f1a0ab6068559d12c21649a6

Observation a81e663b-9565-402c-9414-5a9097628057 · inbound

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models cites this paper.

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-13T13:43:11.080540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T13:43:11.024069Z digest=sha256:21e06cfdcca868b3a7646c036643867727b77139faf9235dbbce0a1cd33b798c

Observation 601c4446-f256-4198-a8c9-1e46b535853b · inbound

Towards trustworthy management of AIGC copyright: blockchain-enabled full lifecycle recording and multi-party auditing approach cites this paper.

Towards trustworthy management of AIGC copyright: blockchain-enabled full lifecycle recording and multi-party auditing approach A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-24T00:33:40.064215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T00:30:19.360716Z digest=sha256:9e705586a786d71f41e13b9f42296855206c3a1f1c8e874ab7016e9c5f90e593

Observation 0865bab6-3b6b-4070-9cb0-01ec5961af41 · inbound

Detecting Malicious Concepts without Image Generation in AI-Generated Content (AIGC) cites this paper.

Detecting Malicious Concepts without Image Generation in AI-Generated Content (AIGC) A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:47:28.596545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T03:46:15.019944Z digest=sha256:4357af6d5324f2728ad754bceb6b5a468e40b01a4a7dd3737b89de1e6505a193

Observation 52649e71-ecd9-43ee-a15c-8ff09a3bc47d · inbound

"I Cannot Write This Because It Violates Our Content Policy": Understanding Content Moderation Policies and User Experiences in Generative AI Products cites this paper.

"I Cannot Write This Because It Violates Our Content Policy": Understanding Content Moderation Policies and User Experiences in Generative AI Products A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T00:27:19.498285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:27:19.498285Z digest=sha256:161253ddbc736ca94d30bc19db46bbf694ba0774307a9bc791d039ba8c6e7695

Observation 58f397d7-80ed-4ef8-8bf3-6691114e3d39 · inbound

A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset cites this paper.

A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:22:11.140646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T08:18:48.936867Z digest=sha256:84a7359fac1ff868becc715fe363ba7d297c5e940befce5fe1a3d1bfd95c6c4d

Observation 6af9995e-9755-4618-a8b3-e758743e2009 · inbound

FlashDP: Private Training Large Language Models with Efficient DP-SGD cites this paper.

FlashDP: Private Training Large Language Models with Efficient DP-SGD A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T21:06:01.443843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:06:01.443843Z digest=sha256:5016d8d0e35c6ad9b70330ff57240fdc34c80baea69eb735c26c0913411f6f71

Observation 9d47626f-6f6e-4e3e-96b3-f897c1265385 · inbound

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection cites this paper.

CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T19:45:58.438153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:45:58.438153Z digest=sha256:a57187718d575db8874e5ff177c01a6b09086ae6686d03493e143847f4100570

Observation d8e23581-8848-41a1-a1f5-70cdf87dd3fa · inbound

DatasetAgent: A Novel Multi-Agent System for Auto-Constructing Datasets from Real-World Images cites this paper.

DatasetAgent: A Novel Multi-Agent System for Auto-Constructing Datasets from Real-World Images A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.870967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.870967Z digest=sha256:62fef8f217439e43624175210f5a6fb199efa1b81936924063ea356936963606

Observation 2a1ea3ea-af9d-4eae-8cf8-6db15e4fc20b · inbound

Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs cites this paper.

Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T14:58:05.273006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:58:05.273006Z digest=sha256:2ab6bd73d62087bb148c4bbe68af8fcc4fa2883285c52c16c2ea13d0ca3ba612

Observation 55b91946-2e24-42ce-8a21-b0f42ff41d2e · inbound

Unlock the Potential of Fine-grained LLM Serving via Dynamic Module Scaling cites this paper.

Unlock the Potential of Fine-grained LLM Serving via Dynamic Module Scaling A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:20.585569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:20.585569Z digest=sha256:d88717d8a3a28ab468b6f5214b514911af6b1fd9a993e8c8e3b6d8618605b5c7

Observation f33b25ff-311c-4f42-919a-1a89e8d6eeed · inbound

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation cites this paper.

Large Language Model Agent for Structural Drawing Generation Using ReAct Prompt Engineering and Retrieval Augmented Generation A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T14:07:28.790739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:07:28.790739Z digest=sha256:cc04bccf98254203ced04cd3afd771fbbffe9dc3e3c4fb72bc38c7b584f5b8da

Observation ed1c77d5-8447-4ff0-89e4-1b56446d4bf8 · inbound

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems cites this paper.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T14:34:10.484346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:34:10.484346Z digest=sha256:4f0bd1312fb711ce67d03154a1ad697d298e13ee0b5d32f70747995cab9ddf6d

Observation 6c18a36c-c448-4e8d-b985-4c8f438bb7f1 · inbound

Modeling Human Responses to Multimodal AI Content cites this paper.

Modeling Human Responses to Multimodal AI Content A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T20:20:12.168845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:20:12.168845Z digest=sha256:5820e56a593d1c1e183f781990fef8bc65dc0831c4f2b2af3a480d908778e47a

Observation d87ec4b4-ae20-4f70-b1e2-2354752a7b89 · inbound

Generative AI for Testing of Autonomous Driving Systems: A Survey cites this paper.

Generative AI for Testing of Autonomous Driving Systems: A Survey A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T15:24:11.648915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:24:11.648915Z digest=sha256:10fa889de7f0c623cb1b9fdf4462ed0f4cedb8278aad9f516601887aee72660f

Observation 2927ee4d-00a1-4704-9ef2-df545acd6fac · inbound

Can Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization cites this paper.

Can Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T12:43:42.316384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:43:42.316384Z digest=sha256:38e1452ae188bc11b59cf746c79f26ee4047eab577ef30f9adc39fb413697a4b

Observation 22f31255-b2e3-410f-8133-b14fa367cb11 · inbound

Artificial intelligence for representing and characterizing quantum systems cites this paper.

Artificial intelligence for representing and characterizing quantum systems A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T05:50:37.618103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:50:37.618103Z digest=sha256:879c1239cf654d6cffc60a5077888f1746d87232c6a808612f4113b1050fb264

Observation 7642b494-c035-44cc-ac4a-b05c2e9aefa6 · inbound

DreamAudio: Customized Text-to-Audio Generation with Diffusion Models cites this paper.

DreamAudio: Customized Text-to-Audio Generation with Diffusion Models A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:31:44.735534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T18:26:51.583145Z digest=sha256:09f1a3767084e421c029f5a458ae3369973b1b0870d884d9ad60657d3020a223

Observation ea51eeae-e5a5-450e-b288-9b9d6cd168fc · inbound

Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation cites this paper.

Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:41:10.516202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:31:30.510866Z digest=sha256:90dbd70377e356482393eb839bb8a30538e23e6dd95d9d4999be97c5977b381e

Observation 4b597498-9aea-4f3c-8829-6619f1989d05 · inbound

Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation cites this paper.

Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-14T19:49:46.135987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T19:49:46.135987Z digest=sha256:359542597ff40d906a2ec5e7c218a2c3acc24d660d6ba8de8555e5ecb6073527

Observation 014c4446-957c-490b-aae1-6cc143470ede · inbound

Discrete Diffusion for Codebook-Based Beam Candidate Generation cites this paper.

Discrete Diffusion for Codebook-Based Beam Candidate Generation A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:05:57.907922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:48:37.951942Z digest=sha256:a4ba78327ce368a54261a9d29b3bf8b81645e5195abdaf39910ca5152da62f51

Observation d4e24df3-1016-46ed-9160-a9fcb611d0b9 · inbound

ReLoRA: Knowledge-Reusing Adaptation for Fast Rollout of Evolving LLM Services cites this paper.

ReLoRA: Knowledge-Reusing Adaptation for Fast Rollout of Evolving LLM Services A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:44:48.865449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T15:06:08.515588Z digest=sha256:6acec3434a6d43b257ee3973de0e03255c2cc66d265cf4379017632985f081c1

Observation 1476c24f-f568-4db4-822a-e4bd4eb8b386 · inbound

Qiskit Code Migration with LLMs cites this paper.

Qiskit Code Migration with LLMs A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 92

Resolution
metadata mismatch
arxiv_id, observed 2026-06-26T16:29:35.705863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-26T16:24:25.357338Z digest=sha256:3a07cee7f3071e2cbc5692a9038b5fd8892e081d57587f6a96f19cebf6fc7020

Observation eacdcb20-857b-4fe6-a9e8-6a30f3b0f0b3 · inbound

An Exploration of Agentic Information Fusion for Test Maintenance Prediction cites this paper.

An Exploration of Agentic Information Fusion for Test Maintenance Prediction A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-11T13:32:25.037160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T13:32:25.037160Z digest=sha256:5e6183ab1876517b57b5859955d5be5131aca50e58cef273f5428817c4170569