Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.09185.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:04:02.164592Z
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
2
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 55af9bc0-2072-45ae-b9fc-e1a78300b462 · inbound
A Large Language Model-Enabled Control Architecture for Dynamic Resource Capability Exploration in Multi-Agent Manufacturing Systems cites this paper.
A Large Language Model-Enabled Control Architecture for Dynamic Resource Capability Exploration in Multi-Agent Manufacturing Systems Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:04:02.164592Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63929a12-7ee9-4e9b-82d7-1c8419f63185 · inbound
Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks cites this paper.
Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:19:40.637776Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11513968-35e6-4a28-b888-b1188577fff3 · inbound
Knowledge Conceptualization Impacts RAG Efficacy cites this paper.
Knowledge Conceptualization Impacts RAG Efficacy Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:01:20.239412Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8215da6-cc72-4bb8-b1ae-e20f68a336e1 · inbound
The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.
The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T16:41:38.146147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8db6e6ff-1195-4497-bd05-8808b6626faa · inbound
The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.
The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints
Reference 87
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T16:41:37.453287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.