Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reframing Instructional Prompts to GPTk's Language
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2109.07830.
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 2026-08-07T13:27:08.775682Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T20:57:23.882331Z
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 a6a04fd7-b39f-4d88-afd0-a10659f4a764 · inbound
Cross-Task Generalization via Natural Language Crowdsourcing Instructions cites this paper.
Cross-Task Generalization via Natural Language Crowdsourcing Instructions Reframing Instructional Prompts to GPTk's Language
Reference 67
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T01:57:29.529757Z
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 86f5ad80-5829-4660-a724-ea0a894b9048 · inbound
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? cites this paper.
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Reframing Instructional Prompts to GPTk's Language
Reference 227
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T09:51:46.895944Z
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 0fdbc677-f88c-4be8-8d5e-7376cb06b0cb · inbound
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting cites this paper.
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting Reframing Instructional Prompts to GPTk's Language
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T01:59:51.407613Z
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 ac8eb36e-a010-4b1e-bd14-7ec883a68de8 · inbound
TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models cites this paper.
TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models Reframing Instructional Prompts to GPTk's Language
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T19:01:57.813239Z
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 a8fdc4ec-058d-4bf0-a4d9-a17c4b6b0a30 · inbound
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams cites this paper.
Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Reframing Instructional Prompts to GPTk's Language
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:27:08.775682Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90b93480-fbcc-4457-afaa-a0567fa6b35e · inbound
Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework cites this paper.
Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework Reframing Instructional Prompts to GPTk's Language
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:14:42.105290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a80e6e8c-a41d-4954-b43c-1d5eea106f81 · inbound
DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination cites this paper.
DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination Reframing Instructional Prompts to GPTk's Language
Reference 119
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T20:57:23.883814Z
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.