Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2304.13712.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T05:29:38.289100Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T17:47:17.806699Z
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 d25f4ad0-005d-4fdc-88b0-cc0173297700 · inbound
H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models cites this paper.
H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T18:00:50.172211Z
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.
Observation 30740c29-bdfd-475d-8214-cd9e36594dcc · inbound
A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.
A Survey on the Memory Mechanism of Large Language Model based Agents Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T07:21:39.780328Z
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.
Observation 2929ab7b-5a14-4bed-8c8e-7c8407669edb · inbound
Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy cites this paper.
Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T05:29:38.289100Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d39344c-540b-4b2a-a581-5ed764e32be0 · inbound
Origin Tracer: A Method for Detecting LoRA Fine-Tuning Origins in LLMs cites this paper.
Origin Tracer: A Method for Detecting LoRA Fine-Tuning Origins in LLMs Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:17:22.212190Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87d00a8b-bf6f-4ec7-b302-d550b6329b05 · 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 Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:43:45.245495Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0e9443b-1feb-4be5-ae4f-10755cb26773 · inbound
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion cites this paper.
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Reference 27
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:05.890823Z
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.
Observation 7f3ca5fe-bae2-4a25-a699-c05f2a94db33 · inbound
Empirical Evaluation of Large Language Models for Migration of Code Fragments to Post-Quantum Cryptography cites this paper.
Empirical Evaluation of Large Language Models for Migration of Code Fragments to Post-Quantum Cryptography Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T17:47:17.808163Z
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.