Paper Citation Record · LEDGER

Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2304.01852.

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

pith.paper-citation-record.v1
2304.01852 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:42:27.867221Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-17T12:04:10.556039Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 79d7bb0b-a219-4ede-8c6a-57d46aa9f4f4 · inbound

Voyager: An Open-Ended Embodied Agent with Large Language Models cites this paper.

Voyager: An Open-Ended Embodied Agent with Large Language Models Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T13:11:41.184014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ef7bc096-51aa-4b35-88db-09bd21cbf846 · inbound

RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback cites this paper.

RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:32:27.960111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b6d6d3a3-ab5e-474f-b174-9e6197636867 · inbound

Training Language Models to Self-Correct via Reinforcement Learning cites this paper.

Training Language Models to Self-Correct via Reinforcement Learning Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-17T12:04:10.558444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 954b9aac-ff98-4934-bf08-1522c62a1824 · inbound

RLInspect: An Interactive Visual Approach to Assess Reinforcement Learning Algorithm cites this paper.

RLInspect: An Interactive Visual Approach to Assess Reinforcement Learning Algorithm Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T21:42:27.867221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ba39f62-1fde-4710-a4b4-d9a8525ab67c · inbound

Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation cites this paper.

Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T18:44:39.783953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 170602a2-7d0e-46f2-bfe9-6573ebe91177 · inbound

Averaged Adam accelerates stochastic optimization in the training of deep neural network approximations for partial differential equation and optimal control problems cites this paper.

Averaged Adam accelerates stochastic optimization in the training of deep neural network approximations for partial differential equation and optimal control problems Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:06.770615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3da35532-588d-4e60-ad54-8bf5c256d421 · inbound

Automated Consistency Analysis of LLMs cites this paper.

Automated Consistency Analysis of LLMs Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T14:02:15.677397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bac1231-de65-4876-b567-4d100f65ad04 · inbound

Concealment of Intent: A Game-Theoretic Analysis cites this paper.

Concealment of Intent: A Game-Theoretic Analysis Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:39.117287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e11fa63e-2b52-4fda-8849-89de09810771 · inbound

PADAM: Parallel averaged Adam reduces the error for stochastic optimization in scientific machine learning cites this paper.

PADAM: Parallel averaged Adam reduces the error for stochastic optimization in scientific machine learning Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:47.730894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6213d40c-e900-4467-a32e-e340370a0d8b · inbound

Quantifiable Uncertainty: A Stochastic Consensus Multi-Agent RAG Framework for Robust Malware Detection cites this paper.

Quantifiable Uncertainty: A Stochastic Consensus Multi-Agent RAG Framework for Robust Malware Detection Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:26.077127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.