Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:35:15.582538Z
Paper Citation Record · LEDGER
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions
As of 19 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2411.08563.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
18 of 18 outbound references displayed
- verified exact1
- verified fuzzy3
- unresolved14
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 68e1fd5a-1207-49c6-9245-f420fa1985d9 · outbound
This paper cites Language models are few-shot learners.
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions Language models are few-shot learners
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:35:15.492614Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b59d62e2-cd96-42ba-99b4-bd581e80acb3 · outbound
This paper cites What do llms know about financial markets? a case study on reddit market sentiment analysis.
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions What do llms know about financial markets? a case study on reddit market sentiment analysis
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:35:16.036879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e5f61cc9-a98b-4c2a-85ae-e0bb6275e212 · outbound
This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions Prefix-Tuning: Optimizing Continuous Prompts for Generation
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:35:15.525765Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0a2472e-c188-40e6-a626-036644dea9a3 · outbound
This paper cites Choice architecture promotes sustainable choices in online food-delivery apps.PNAS Nexus, pp.
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions Choice architecture promotes sustainable choices in online food-delivery apps.PNAS Nexus, pp
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:35:15.531797Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fafdab6d-6ba4-4855-aa2a-38721bc1bfc7 · outbound
This paper cites An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:35:15.536715Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8977b427-2636-4d42-82e8-255df394f354 · outbound
This paper cites Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation.
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:35:15.541880Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30107294-266b-4f7c-bf73-a60acd579c31 · outbound
This paper cites Using LLMs to Model the Beliefs and Preferences of Targeted Populations.
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions Using LLMs to Model the Beliefs and Preferences of Targeted Populations
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:35:15.547714Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a67fc493-3f10-46d0-986e-09003c5a0158 · outbound
This paper cites Language Models as Knowledge Bases?.
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions Language Models as Knowledge Bases?
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:35:15.552919Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2bd364cd-bb20-4a0d-a13a-c2b9cdf97af0 · outbound
This paper cites Fine Tuning LLM for Enterprise: Practical Guidelines and Recommendations.
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions Fine Tuning LLM for Enterprise: Practical Guidelines and Recommendations
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:35:15.569887Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2dcd5189-2653-4560-9486-397eb26a22fe · outbound
This paper cites BloombergGPT: A Large Language Model for Finance.
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions BloombergGPT: A Large Language Model for Finance
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:35:15.576770Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37981224-586c-45d3-a5ef-c1b20d6277d4 · outbound
This paper cites PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance.
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:35:15.582538Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation afc502ba-3a02-4d8f-978b-05972e225180 · outbound
This paper cites Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting.
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
Reference 2013
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:35:15.564134Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 784f929f-030b-4f6a-a6d2-65dee1d4051c · outbound
This paper cites Universal Language Model Fine-tuning for Text Classification.
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions Universal Language Model Fine-tuning for Text Classification
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:35:15.520916Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c16d068-4a6c-4f3b-8ee6-6dc6e698c982 · outbound
This paper cites What shapes sustainable food choices? a field ex- periment on the impact of a behaviorally informed intervention and a price variation on sustainable food choices.
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions What shapes sustainable food choices? a field ex- periment on the impact of a behaviorally informed intervention and a price variation on sustainable food choices
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:35:16.018677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2c371b6e-b4b1-4b1a-961b-75f728541f7a · outbound
This paper cites Evaluating the replicability of social science experiments in nature and science between 2010 and 2015.Nature human behaviour, 2(9): 637–644,.
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions Evaluating the replicability of social science experiments in nature and science between 2010 and 2015.Nature human behaviour, 2(9): 637–644,
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:35:16.053894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f44c80f9-46d9-4937-961a-cda91461e902 · outbound
This paper cites Template-Based Named Entity Recognition Using BART.
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions Template-Based Named Entity Recognition Using BART
Reference 2021
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T21:35:15.957141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3d65fc8d-40c9-4016-a00c-3c7dffc59892 · outbound
This paper cites Large Language Models for Mathematical Reasoning: Progresses and Challenges.
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions Large Language Models for Mathematical Reasoning: Progresses and Challenges
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:35:15.480532Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6803e71-1d0f-4ba2-9fb3-72d1360e374d · outbound
This paper cites The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4.
Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:35:15.487158Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.