Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Shallow Synthesis of Knowledge in GPT-Generated Texts: A Case Study in Automatic Related Work Composition
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.12255.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:19:48.670874Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:13:32.566452Z
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 1c9ef306-3d19-46b0-81f4-3721708bc018 · inbound
LLM4SR: A Survey on Large Language Models for Scientific Research cites this paper.
LLM4SR: A Survey on Large Language Models for Scientific Research Shallow Synthesis of Knowledge in GPT-Generated Texts: A Case Study in Automatic Related Work Composition
Reference 109
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:39:25.538298Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34cdc749-4a94-45ef-8f71-0d4d2a3ca087 · inbound
Toward Living Narrative Reviews: An Empirical Study of the Processes and Challenges in Updating Survey Articles in Computing Research cites this paper.
Toward Living Narrative Reviews: An Empirical Study of the Processes and Challenges in Updating Survey Articles in Computing Research Shallow Synthesis of Knowledge in GPT-Generated Texts: A Case Study in Automatic Related Work Composition
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T17:24:25.811327Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 566e57c5-d2f9-411c-b74d-d5974b1e2bdc · inbound
Facets, Taxonomies, and Syntheses: Navigating Structured Representations in LLM-Assisted Literature Review cites this paper.
Facets, Taxonomies, and Syntheses: Navigating Structured Representations in LLM-Assisted Literature Review Shallow Synthesis of Knowledge in GPT-Generated Texts: A Case Study in Automatic Related Work Composition
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:19:48.670874Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec2e776f-2afa-468a-83bc-f9c88e00b544 · inbound
Select, Read, and Write: A Multi-Agent Framework of Full-Text-based Related Work Generation cites this paper.
Select, Read, and Write: A Multi-Agent Framework of Full-Text-based Related Work Generation Shallow Synthesis of Knowledge in GPT-Generated Texts: A Case Study in Automatic Related Work Composition
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:13:32.660393Z
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.
Observation 920330d2-585e-477b-bcf5-f0b0197d8635 · inbound
GRASP: Graph-Reasoning Aided Survey Planning for High-Fidelity Related Work Generation cites this paper.
GRASP: Graph-Reasoning Aided Survey Planning for High-Fidelity Related Work Generation Shallow Synthesis of Knowledge in GPT-Generated Texts: A Case Study in Automatic Related Work Composition
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:30:19.582326Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.