Pith. sign in

Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 51 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 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 51 of 51 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:27:05.353547Z

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:2c0f74bb14288133e1b850f9780032705fe3ddede834136b894d5bc0a9309aea

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:e7de77b6afd71116987374856d63eb7e042e5006650b5c605f865af8bed708ef

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-24T03:58:32.556725Z digest=sha256:24b3a7424d926071c499cf8224a7511f6652c085a9d642c657474d168c6297e4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T13:43:11.024069Z digest=sha256:43a63068088c4d3b7b31aa0f99bbbfbdf27eaf1b43c6a49ecb12817dc43de3c4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-24T00:30:19.360716Z digest=sha256:7059229bd359a2280f576c97d9ab98a40cc7c1b13e7898fe52ceacd3b075ee4a

Observation 4634e1e2-09ef-458f-9505-4b3a4d31be10 · inbound

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires cites this paper.

Using ChatGPT-4 for the Identification of Common UX Factors within a Pool of Measurement Items from Established UX Questionnaires A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T16:53:16.759919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:53:16.759919Z digest=sha256:0655ab13ecedabda25e155b12f955d80d87d8daa5b4f9f615f7245358c0bbcf2

Observation 089af130-8543-4f24-b287-32d885412108 · inbound

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 cites this paper.

Identifying Semantic Similarity for UX Items from Established Questionnaires Using ChatGPT-4 A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T16:52:58.956016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:52:58.956016Z digest=sha256:f48b9e5bbcd68b0a8fdfead57d0334aeaea2a964bf09a42ce25bbc105dcf7a82

Observation 727588f7-bb53-4b9c-af5f-003d597c6f26 · inbound

A Review of Human Emotion Synthesis Based on Generative Technology cites this paper.

A Review of Human Emotion Synthesis Based on Generative Technology A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T19:10:13.531108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:10:13.531108Z digest=sha256:c954834f2f0973e86407951c642d63f64189d31dcc1dff52152e1249964026a7

Observation cb554875-cb05-4908-9a44-9e94e1f7e746 · inbound

Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities cites this paper.

Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T12:12:18.260081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:12:18.260081Z digest=sha256:aaf97fbc423446cbed586457c1a6b4d3118d2b8c88de44afe0e2007a67e461e3

Observation a776da10-776a-4f8a-8b33-d3c1db85bd2d · inbound

The Current Challenges of Software Engineering in the Era of Large Language Models cites this paper.

The Current Challenges of Software Engineering in the Era of Large Language Models A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T12:10:13.351167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:10:13.351167Z digest=sha256:8cf004ea5b0d4fbe5f89bde75fee2fc5155e7071a763e361bfc4aa63ea7efded

Observation 145e3692-f048-4b03-8ee7-76b57496d52d · inbound

MagicNaming: Consistent Identity Generation by Finding a "Name Space" in T2I Diffusion Models cites this paper.

MagicNaming: Consistent Identity Generation by Finding a "Name Space" in T2I Diffusion Models 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 2026-08-11T11:53:08.564445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:53:08.564445Z digest=sha256:471726976f16e18072df1e430c3bfaa06d2c31d168e41f3435b3cf644e6f6bea

Observation ff369787-9587-43b3-a230-77eb2966c4f6 · inbound

Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge Networks cites this paper.

Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge Networks A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T04:59:29.417825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:59:29.417825Z digest=sha256:1a32b1dd1341704b0885eab52cd7dfed995ec894d1f0df901a6a55711da7356a

Observation 7579a15a-325b-4ece-a88c-ece56f847d5e · inbound

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity cites this paper.

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T21:57:16.004324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:57:16.004324Z digest=sha256:b65ef04655b50d786265a669ed912df03f8f6c7503ed2af181ff2568f6a51a8c

Observation 905d4829-ca72-4085-a984-950cb2f9db09 · inbound

Why are we living the age of AI applications right now? The long innovation path from AI's birth to a child's bedtime magic cites this paper.

Why are we living the age of AI applications right now? The long innovation path from AI's birth to a child's bedtime magic 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 2026-08-10T20:52:33.528056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:52:33.528056Z digest=sha256:6581759fa0cf724174ff0e08fe36113bd56db50776bb46b070b9d4eca549964b

Observation bee51250-402c-4a62-bfd1-256bdce059f9 · inbound

Unmasking Conversational Bias in AI Multiagent Systems cites this paper.

Unmasking Conversational Bias in AI Multiagent Systems 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 2026-08-10T15:18:21.773771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:21.773771Z digest=sha256:38ccb9eba9ba494416f8960f2557a6a358e817095f593b026b4b47bd7587c96a

Observation fd75cf7e-4b90-4af1-9d81-2bf301e524b9 · inbound

CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial Intelligence cites this paper.

CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial Intelligence A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T12:25:31.028025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:25:31.028025Z digest=sha256:5e826b63db45723f3e839778eddde482e89947d12a6abee825c5f0ad55de1c82

Observation 87a576c1-be7e-4587-b609-03a9ddb171e3 · inbound

CosyAudio: Improving Audio Generation with Confidence Scores and Synthetic Captions cites this paper.

CosyAudio: Improving Audio Generation with Confidence Scores and Synthetic Captions A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T10:58:29.023260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T10:58:29.023260Z digest=sha256:958f6d682fc510f0ccd9ea56aac644541cc8c3f6e15cfc4b7d61554975ef2213

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

Resolution
unresolved
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=sha256:11d448c066fbe0f6de940f9b0d8b661643b238d0980f8f9a4a56bc946b2d6c2d

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

Resolution
unresolved
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:ae0616bfb8a0ee42f9c8e7e804a35a36606ed7ecda86534c7f435493192236cc

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

Resolution
unresolved
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:b77a4136d67ae12c7b1ae20799cd5bce4941b11b6df22280b15eb44c22c4bf8f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:06:45.608850Z digest=sha256:dd89acfd3504fba817acf930e22b2da6a4561bc34c3756f3488d0959a66ba42c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T03:46:15.019944Z digest=sha256:63d1b674e3fa8863840ee8f362eb4471eb1abf14a079e28dad810ea971a7b8c1

Observation d606bea7-9f70-4290-9255-d893ce9034c1 · inbound

A Multi-Agent Framework for Automated Qinqiang Opera Script Generation Using Large Language Models cites this paper.

A Multi-Agent Framework for Automated Qinqiang Opera Script Generation Using Large Language Models 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 2026-08-16T11:27:05.353547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:27:05.353547Z digest=sha256:781ede1da2bb45ee067f1182e5d655825aadefa8f023e77de00ec5b1100a1052

Observation c39cc7e5-da1e-446f-86c2-379daf0740ec · inbound

Generative AI for Autonomous Driving: Frontiers and Opportunities cites this paper.

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

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-15T21:49:12.809718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:49:12.809718Z digest=sha256:4ef99e17e75e6c594850c07479e355fe78a0773ab6c215842d1d52dbd82c0208

Observation 1dc880d4-03dc-4c32-a919-b8d83bd58d5f · inbound

Context-AI Tunes: Context-Aware AI-Generated Music for Stress Reduction cites this paper.

Context-AI Tunes: Context-Aware AI-Generated Music for Stress Reduction 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 2026-08-15T21:26:43.383652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:26:43.383652Z digest=sha256:29ce26c2c0c98be4f0c23585d00e71fb2791ccbe053852699bf455a5ad9cbb9a

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

Resolution
unresolved
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=sha256:21867213b97c400b582d86223b24148097e451764a627eac679b0fbb9686815e

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

Resolution
unresolved
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=sha256:67a53232d8cbc05c910011b4333f0788932583e1b522c10b37391c564d4455ac

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

Resolution
unresolved
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:a8a07d39f821cc415ef6f743413835929e02322eb359fbb86ff1a0a4772037ea

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

Resolution
unresolved
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:dc618c09230a10cc95bee01ee34c0e1d6e3a7f3559d184b39ca476e7ecd090ba

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

Resolution
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:a7a98c6325c93c498111ad8c5149fb9a79dbc9ca7f467237bd2a299cb8cb5739

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=sha256:9333b058225b0aae5c2d47e02b9dc316265b9ef2866f37bd4808dbc7221c4ad4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T08:18:48.936867Z digest=sha256:1626b5d30fb40c26357b91e94b48c73c46cb774fbaf94ad1653cc3d2c2738985

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=sha256:9ff3f1a022c1851b5c70621f31f6ad4ea3ba021da0b982ea171dcf8253bec04b

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:b6a8eb566f92ce364f38773dd1c27e73241704c4aa2a851c5bb5b1498ac6a7df

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=sha256:993910edc394c8b5b7b81f41b939d78d4aea27ad0d2b6e26a7d711ff9a8de892

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=sha256:7b86e7f51980044583d46ae2a10a907a6b79d8f04611f5777b9973f72156dfff

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=sha256:50c986f4d581049e7dd6dc11ef2f0476a0e626d5f5b1ebe3aa352f296a9c6257

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=sha256:29d78e4ac4c1f3d7b82860b910c2a6e09519e5b5972a51efe68e6749d6926544

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=sha256:9efd3837e87548a40549dcfc55438945c1706bbaeafde6405b40f02c7f264efa

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=sha256:2040412a7cb59c709faa9af7795ef4a3a955a3c52d08b7305477ab9c66431f1a

Observation 3397e076-44ed-4b17-8ea4-950da318a90a · inbound

From Classical Probabilistic Latent Variable Models to Modern Generative AI: A Unified Perspective cites this paper.

From Classical Probabilistic Latent Variable Models to Modern Generative AI: A Unified Perspective A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T17:24:35.810701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:24:35.810701Z digest=sha256:443f343461c9e6c0fda3254f62b3d6b4c335efc4915a9d41aa84fef95d308df8

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=sha256:06d6a6395ef1aae51fd38748e2549dff0c76176c083d40c1fec55eea927d6211

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=sha256:51b3bfeecd0f714ae2792a053bf48575ebc99cdacff87cd4b91ebbb37e695b2b

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=sha256:94faed65e2178f67a85497c36a23c47010f7e6c6575c4aae1f4dc9643416ba61

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T18:26:51.583145Z digest=sha256:54b007d4dc7973030e2407967c4ef3a1a0e28b4f23fb5f782ad31bdc6ba66d33

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T17:31:30.510866Z digest=sha256:0570ae2886f2b7dfb88d2843b5bf350b93a13ca181078b9eca508a7011cb3c62

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:dc2926a4defeb24b45cab21701f19eb90c45d9441e750a5cef5ad56f72e536d6

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T17:48:37.951942Z digest=sha256:e89222b3c10d316375ea1467e2f6ec40dfc97b407fb652c71e5d3b06113b740d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T15:06:08.515588Z digest=sha256:2393163aa61badb34ca03bc8a5c46e4c1255b61c531dc50789aa697ac1eb8497

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-26T16:24:25.357338Z digest=sha256:ed2f6ccc243a7ffb7d1ebd38966af59dba5d882f3002f35d3a2bacd85e33d19a

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:d4406033b11952b847e4cfb51cdc836382b3efa63e40eae5e30d451d85efb9b8