Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Prompting a Pretrained Transformer Can Be a Universal Approximator
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.14753.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:07:04.349531Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T18:23:50.618540Z
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 58521379-b214-4147-accf-b03f5b1143f6 · inbound
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency cites this paper.
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency Prompting a Pretrained Transformer Can Be a Universal Approximator
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:07:04.349531Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ec1d0e5-967e-43a4-ad1b-54c7c8076d18 · inbound
Learning to Translate from Soft to Hard LLM Prompts cites this paper.
Learning to Translate from Soft to Hard LLM Prompts Prompting a Pretrained Transformer Can Be a Universal Approximator
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T18:23:50.620251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 935415be-8ff3-4773-9bce-4145c48713da · inbound
Measure-to-measure Regression with Transformers cites this paper.
Measure-to-measure Regression with Transformers Prompting a Pretrained Transformer Can Be a Universal Approximator
Reference 20
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T14:53:31.289287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.