Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
OmniPred: Language Models as Universal Regressors
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.14547.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:05:04.185225Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T00:52:55.841243Z
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 5150d67e-f306-44d3-9835-f355b6abc003 · inbound
Understanding LLM Embeddings for Regression cites this paper.
Understanding LLM Embeddings for Regression OmniPred: Language Models as Universal Regressors
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:05:04.185225Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03c28c55-d67e-4301-a7de-b6f16fe9c9d5 · inbound
Decoding-based Regression cites this paper.
Decoding-based Regression OmniPred: Language Models as Universal Regressors
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T20:34:01.617785Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c092f70-5544-4a5d-8b58-2a7377cac9ba · inbound
Quantile Regression with Large Language Models for Price Prediction cites this paper.
Quantile Regression with Large Language Models for Price Prediction OmniPred: Language Models as Universal Regressors
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:58:20.365065Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a611526-1f0c-4c9c-a342-f71d0620c924 · inbound
Performance Prediction for Large Systems via Text-to-Text Regression cites this paper.
Performance Prediction for Large Systems via Text-to-Text Regression OmniPred: Language Models as Universal Regressors
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:29:59.037171Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c30ed659-8376-4c9e-91fe-d72d5c4821e0 · inbound
Distribution-Aware Reward: Reinforcement Learning over Predictive Distributions for LLM Regression cites this paper.
Distribution-Aware Reward: Reinforcement Learning over Predictive Distributions for LLM Regression OmniPred: Language Models as Universal Regressors
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T07:04:01.616111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3c210396-6cc0-43e0-a4de-d77991d7f2f0 · inbound
Large language model for unified and accurate description of multidimensional nuclear properties cites this paper.
Large language model for unified and accurate description of multidimensional nuclear properties OmniPred: Language Models as Universal Regressors
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T00:52:55.842931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.