Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.00322.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:09.176111Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T19:53:42.861005Z
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 4897e9d5-5cac-430a-a90a-bafbbb5158fc · inbound
Scaling-up Perceptual Video Quality Assessment cites this paper.
Scaling-up Perceptual Video Quality Assessment LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:12:09.176111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb300b93-e05b-422c-b9ac-8fc0c0717996 · inbound
GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs cites this paper.
GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:55:23.771326Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 516616da-ab43-42e5-a08c-537e2a148f87 · inbound
ChemActor: Enhancing Automated Extraction of Chemical Synthesis Actions with LLM-Generated Data cites this paper.
ChemActor: Enhancing Automated Extraction of Chemical Synthesis Actions with LLM-Generated Data LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:45:10.751933Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 376ca163-774a-458a-9fb8-d44942966d6b · inbound
The Surprising Universality of LLM Outputs: A Real-Time Verification Primitive cites this paper.
The Surprising Universality of LLM Outputs: A Real-Time Verification Primitive LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T00:11:14.763865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7e737614-3fce-4f2b-9d98-2a5facd2db85 · inbound
Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Sign cites this paper.
Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Sign LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods
Reference 73
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T19:53:42.864566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.