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Paper Citation Record · LEDGER

A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2303.11717.

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

pith.paper-citation-record.v1
2303.11717 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 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:10:25.446241Z

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

107
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 ddb1d422-0661-45c0-911e-9bdbbf29a273 · inbound

Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study cites this paper.

Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-16T22:38:20.556957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-16T22:38:20.531809Z digest=sha256:7070a06a1ac83088b62f66921ced7eb9a7a3f80680c279579c23fdd6c1dd8c27

Observation da058e71-8503-42a2-aabf-db77f2beb756 · inbound

Unified CNNs and transformers underlying learning mechanism reveals multi-head attention modus vivendi cites this paper.

Unified CNNs and transformers underlying learning mechanism reveals multi-head attention modus vivendi A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T16:44:16.680508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:44:16.680508Z digest=sha256:dd0019d3968766ce8bebc8d95b912b5040ea76a725a6b36e4a7a7e94a14ddb4d

Observation 9b78796b-59e9-441f-b0e4-49c9af06a6cd · inbound

Generative to Agentic AI: Survey, Conceptualization, and Challenges cites this paper.

Generative to Agentic AI: Survey, Conceptualization, and Challenges A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?

Reference 197

Resolution
unresolved
no resolver link, observed 2026-08-16T10:10:25.446241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:10:25.446241Z digest=sha256:65afc7b474c171134355ad9495a20e2a3998936f30c97ad3341874f8b088365e

Observation 94c2f037-43ea-4855-af00-95df5488b42e · inbound

Low-latency vision transformers via large-scale multi-head attention cites this paper.

Low-latency vision transformers via large-scale multi-head attention A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T21:39:35.960244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:39:35.960244Z digest=sha256:21d90df4f9481a6d70e8b7a44cafefc2ef7ab75e16075a22e9b903d4441fb8af

Observation a4b7d3cf-cf12-4403-86e7-ce941a1c6180 · inbound

BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence cites this paper.

BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:53:11.935437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-13T19:48:13.133733Z digest=sha256:1e1234ca74476c83ecd76deedfbac231f8363b6e4791b5946dfee5ece7144eaf

Observation 017b550f-09f9-4794-bf78-6e2f58badee8 · inbound

See Further, Think Deeper: Advancing VLM's Reasoning Ability with Low-level Visual Cues and Reflection cites this paper.

See Further, Think Deeper: Advancing VLM's Reasoning Ability with Low-level Visual Cues and Reflection A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:36:17.571038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T04:46:16.497585Z digest=sha256:ace5b8ab065e4a1d8148ef213e2995beef868fa6a9b1ce935c025fbd8ecb8873

Observation 26bbd581-7359-472a-9d09-644fd58159ef · inbound

DP-LENS: A Density-Aware Polyfocal Lens with Topology-Driven Auto-Routing for Occlusion Management in Immersive 3D Analytics cites this paper.

DP-LENS: A Density-Aware Polyfocal Lens with Topology-Driven Auto-Routing for Occlusion Management in Immersive 3D Analytics A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-01T03:09:15.281371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:09:15.281371Z digest=sha256:892685b5ae4c7f21a88d14839569f5e0d90e84c8f1d4cd062b7ada5010491baf