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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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 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 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:36:46.254508Z

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

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  • verified fuzzy0
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  • 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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:726ed4af0d4c52391ef2320c60aadc9fbc82296157a0e0eff8e3a2d240078110

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:6c005a40eb3d84d8701557491cd7ba230e2b87c9656e508f7337f861a081bf61

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T03:58:32.556725Z digest=sha256:ed922948751ec636573c1414abab8b9cc629c91361c7aaccaf7b9ce36d096e6d

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T13:43:11.024069Z digest=sha256:415fdc91b36380176b19cf33e309aee6d64297db44f82f8e7a5a97d9da9f58b6

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T00:30:19.360716Z digest=sha256:57db33d9f49fbdabf0752c3f2da41a7abe8513cf6d844e740095303ab907eafc

Observation 9cc5c167-b9df-48e6-8e46-efc9042a1bd3 · inbound

Unraveling the Capabilities of Language Models in News Summarization cites this paper.

Unraveling the Capabilities of Language Models in News Summarization A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 6

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no resolver link, observed 2026-08-10T00:36:46.254508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:36:46.254508Z digest=sha256:f3a827c04cab23caddf0b448d4c62536ef8982fc72bd8c5b273ee7c7a7d30914

Observation 05d65b20-ab8c-40d0-9269-dc2dc2e5a56f · inbound

Understanding and Supporting Formal Email Exchange by Answering AI-Generated Questions cites this paper.

Understanding and Supporting Formal Email Exchange by Answering AI-Generated Questions A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 2023

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no resolver link, observed 2026-08-09T00:44:51.891142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:44:51.891142Z digest=sha256:6c54c34e461828e99bc219835a8b3a25f70d6e1587f39e37cb39d47d0f5c136e

Observation 28059e98-a5dc-4817-b3d3-ee7e579d24b9 · inbound

Emotion Recognition and Generation: A Comprehensive Review of Face, Speech, and Text Modalities cites this paper.

Emotion Recognition and Generation: A Comprehensive Review of Face, Speech, and Text Modalities A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 20

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no resolver link, observed 2026-08-09T18:23:40.537053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:23:40.537053Z digest=sha256:265127b24fc5941e620667c88a8263ecf1ab59917458ce355b7ce2bc70c3d13e

Observation 9d7fb639-648c-46f1-8204-2869bf588f81 · inbound

Grounding Creativity in Physics: A Brief Survey of Physical Priors in AIGC cites this paper.

Grounding Creativity in Physics: A Brief Survey of Physical Priors in AIGC A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 6

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no resolver link, observed 2026-08-08T14:06:45.608850Z

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source=pdf_text observed=2026-08-08T14:06:45.608850Z digest=sha256:5127dc6cfca647974f977cb7b463e7729e9668eacebf4f1c3e793a184d3611db

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T03:46:15.019944Z digest=sha256:a802220d46c5180b7be5edb369e8f818ccc0212c3fc709e205833225edd0cbc7

Observation b2158e25-d588-4187-81aa-6ce1386dbc29 · inbound

R-Genie: Reasoning-Guided Generative Image Editing cites this paper.

R-Genie: Reasoning-Guided Generative Image Editing A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 5

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no resolver link, observed 2026-08-07T14:46:34.591816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:34.591816Z digest=sha256:6f324098ba507f0f512c2f668ae8918dc933a692ead47bd05830fa33aa7b8db0

Observation f0d58c5e-6387-4051-b226-979318aa6afd · inbound

Versatile Cardiovascular Signal Generation with a Unified Diffusion Transformer cites this paper.

Versatile Cardiovascular Signal Generation with a Unified Diffusion Transformer A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 63

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no resolver link, observed 2026-08-07T13:16:58.953669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:16:58.953669Z digest=sha256:4ca60d3446851cd35967cab5a188f08e4bb0b96b77e67205c8ad4993252ef1a6

Observation c1b45a53-fa21-447c-b667-d26fa4649800 · inbound

Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation cites this paper.

Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 1

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no resolver link, observed 2026-08-07T11:44:14.885064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:44:14.885064Z digest=sha256:f22ab9a05112a961578bfbef49a04cef793a383587c78aac5ee6551c2a582b8d

Observation 2245206f-11ef-4b6d-80a0-ec5258b1c28b · inbound

Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment cites this paper.

Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 5

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no resolver link, observed 2026-08-07T11:22:43.210066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:22:43.210066Z digest=sha256:e44de77c51e4d48bad84b212e31abbf6222680e34f08efcc91b60d911f47ba57

Observation f0a069d9-389c-4f9c-bfc5-ef28c79e0ca8 · inbound

The NordDRG AI Benchmark for Large Language Models cites this paper.

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

Reference 5

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unresolved
no resolver link, observed 2026-08-07T04:47:18.011925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:47:18.011925Z digest=sha256:773000b7558cd5d71da140578442c3b37bd58df37425ed0c5dd33f7ad2ce9c25

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

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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:c61a6994c837245359a8c29c7ae0f0f76bc4294df495b59e1338235bba467539

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T08:18:48.936867Z digest=sha256:6d1fe27a0bcb8765bfc23bc6ec7530c601d40228c2e71deed8823c34640f853f

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

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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:d33d58f7b0a01c398b5631cde9fcc15202ef82d64277f125cdb890c0f6c7ca69

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

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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=sha256:5a59a741494e99cb9463e46526dc51108a1190bdfa2720d87a01ee783f0450a3

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

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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=sha256:05c14ed9b23229f85e92cfac7064b126b92e5131c1cb8e334cd67705328b86ef

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

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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=sha256:4530cc7a5d00e51e6cf765128230092d1e14aa65e6818d3632d1de5fd132a30b

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

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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=sha256:7e85ef1131ac2aed1a3fc221283cf2d505f6290cee83c100ad9a8587be6f4368

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

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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=sha256:96090a42f19f30673015e40b43e89eb18f6cb9a5b6485d89b2291fccc3c477ce

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:34:10.484346Z digest=sha256:3723e3e685d09d4621f7b14d6b8acd190023adc15e3637c1187a60f6b9cf2d40

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

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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:f0e0e52f281f3086352bb1933e106bb0eae40b591381704dfbde7456471151bd

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

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

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source=pdf_text observed=2026-08-05T15:24:11.648915Z digest=sha256:a19315e0c472f481cad921f6963727a3d46b97573b21a856bdffd4576445005f

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

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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:d5702dd50d82daf38cfe8d6afbe29cf8e51508e9589759336b80eabb4a1ba7a6

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

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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:b07dfa47dc0b93e1cabda35703df9802f159a5805e306d050df9998f8b051612

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T18:26:51.583145Z digest=sha256:7fd0869bc9fd01de4dfc1eb9dc53dd22789f8a9ca8933e67339b9de022e8ad5e

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:31:30.510866Z digest=sha256:2455164de05304faeecd8576a6a79a43514ad66c4649dc13933bc749dd1e7b01

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

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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=sha256:1de4718ef228c30276b41b7240615bdd621c785b29f23fece4c409274c44ad5e

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:48:37.951942Z digest=sha256:77d4da7af43f0ed9603c30ce1f031b7a5ff067c65f690b89c52227f4cc0353e9

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

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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 2026-08-09T06:31:02.800959+00:00.

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

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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