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Paper Citation Record · LEDGER

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System

As of 17 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2606.20720.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.20720 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T21:43:01.949350Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T21:43:01.949350Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-03T23:49:02.833386Z

Reference resolution

34 of 34 outbound references displayed

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  • verified fuzzy0
  • unresolved30
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External citation measurements

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Outbound references

Observation cf58b97d-f617-4a39-8b45-8360bd194d36 · outbound

This paper cites Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System

Reference 1

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ea3aaa52-2cb2-4556-b3a0-77e2059412c9 · outbound

This paper cites an unresolved cited work.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Unresolved cited work

Reference 2

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Observation c379ea15-74fa-4c5d-af33-613ed908bff2 · outbound

This paper cites 1929 Great Depression.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System 1929 Great Depression

Reference 3

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Observation 131ba258-cda0-476e-bf96-dd1d2c51d9ba · outbound

This paper cites an unresolved cited work.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Unresolved cited work

Reference 4

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source=pdf_text observed=2026-06-26T21:43:01.949350Z digest=sha256:de89928b496f35f548e5d5ad650300d75bd5cd6e193b23d739f73df983edb61a

Observation 45a33ea7-1721-4bd3-a651-f349381b4d30 · outbound

This paper cites an unresolved cited work.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Unresolved cited work

Reference 5

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Observation 3ba7a222-5f01-4669-961b-cb5df268dc9f · outbound

This paper cites Shocks and frictions in us business cycles: A bayesian dsge approach,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Shocks and frictions in us business cycles: A bayesian dsge approach,

Reference 6

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Observation 7c3390b8-b203-458c-9c55-cb857b1be593 · outbound

This paper cites Macroeconomics and reality,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Macroeconomics and reality,

Reference 7

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Observation 32359d8d-da01-4522-a230-2cfa3fa7fa66 · outbound

This paper cites Rational expectations and the theory of price movements,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Rational expectations and the theory of price movements,

Reference 8

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Observation ac169ebe-5f58-4fd1-a315-1e98cbfd377c · outbound

This paper cites Agent-based computational eco- nomics: Growing economies from the bottom up,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Agent-based computational eco- nomics: Growing economies from the bottom up,

Reference 9

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Observation c73b90e1-df5d-43e7-a032-6b19c26a737b · outbound

This paper cites The economy needs agent-based modelling,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System The economy needs agent-based modelling,

Reference 10

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Observation fc051035-934b-4a06-bc80-ff9ded9fc6f0 · outbound

This paper cites Monotonic value function factorisation for deep multi-agent reinforce- ment learning,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Monotonic value function factorisation for deep multi-agent reinforce- ment learning,

Reference 11

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Observation be388cce-8b6e-49d7-ad78-9072714ad83f · outbound

This paper cites Are risk preferences sta- ble?,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Are risk preferences sta- ble?,

Reference 12

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Observation fae9b615-6d40-4604-b418-7f9fc031d6dc · outbound

This paper cites Recency bias and the cross-section of international stock returns,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Recency bias and the cross-section of international stock returns,

Reference 13

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Observation 04ddc3aa-fe9b-499e-b441-290bd1f399bf · outbound

This paper cites Debiasing re- cency: Evidence from individual investor stock sales,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Debiasing re- cency: Evidence from individual investor stock sales,

Reference 14

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Observation 2d8d391b-cdf4-4ed6-9489-cf5b0138dee7 · outbound

This paper cites Choice under risk: How occupation influences prefer- ences,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Choice under risk: How occupation influences prefer- ences,

Reference 15

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Observation 67d33c28-9663-45ef-abc9-41a5cf424a0c · outbound

This paper cites Gore, im- peachment, and beyond, Princeton University Press Princeton, NJ, 2001.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Gore, im- peachment, and beyond, Princeton University Press Princeton, NJ, 2001

Reference 16

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Observation 4dd9c2ea-8ce5-43a4-96a2-37b0566802ff · outbound

This paper cites Unable to forget: Proactive lnterference reveals working memory limits in llms beyond context length,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Unable to forget: Proactive lnterference reveals working memory limits in llms beyond context length,

Reference 17

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Observation 85c9c996-251e-4c38-bf8a-eed33b1d0663 · outbound

This paper cites Agent-based modeling: Methods and techniques for simulating human systems,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Agent-based modeling: Methods and techniques for simulating human systems,

Reference 18

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Observation eaa9e059-daff-422f-8897-f28c490542eb · outbound

This paper cites SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization

Reference 19

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arxiv_id, observed 2026-07-03T23:49:02.837064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cc11ea43-e0d6-442e-baac-ed3e844ff45c · outbound

This paper cites Pipa: Pixel-and patch-wise self-supervised learning for domain adaptative semantic segmentation,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Pipa: Pixel-and patch-wise self-supervised learning for domain adaptative semantic segmentation,

Reference 20

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Observation 39124516-8d92-4752-8bcc-5f86e7a138dc · outbound

This paper cites Transfer- ring to real-world layouts: A depth-aware framework for scene adaptation,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Transfer- ring to real-world layouts: A depth-aware framework for scene adaptation,

Reference 21

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Observation 1dce96bb-e464-438d-840f-9aff42843db8 · outbound

This paper cites General and task-oriented video segmenta- tion,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System General and task-oriented video segmenta- tion,

Reference 22

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Observation 6381f802-e3c0-470b-9bd4-04cac564c8ae · outbound

This paper cites Dif- fvsgg: Diffusion-driven online video scene graph gener- ation,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Dif- fvsgg: Diffusion-driven online video scene graph gener- ation,

Reference 23

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Observation 99ba6b77-93c6-43d1-b3ab-60542dfcc9c6 · outbound

This paper cites PiPa++: Towards Unification of Domain Adaptive Semantic Segmentation via Self-supervised Learning.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System PiPa++: Towards Unification of Domain Adaptive Semantic Segmentation via Self-supervised Learning

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 13955e5f-e327-4f5d-9016-acea329b4dbb · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Retrieval-augmented generation for knowledge-intensive nlp tasks,

Reference 25

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Observation 3df8bd0f-39be-49b0-985b-283a174d10d2 · outbound

This paper cites A-mem: Agentic mem- ory for llm agents,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System A-mem: Agentic mem- ory for llm agents,

Reference 26

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Observation ee33bbaf-4731-41f3-8598-1c6f7a84a6da · outbound

This paper cites an unresolved cited work.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Unresolved cited work

Reference 27

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Observation 4d7b53c2-e095-4591-be81-d61802e66a12 · outbound

This paper cites an unresolved cited work.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Unresolved cited work

Reference 28

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Observation 19fea8ff-00db-4702-995a-e2e0ef666bd7 · outbound

This paper cites 2, Elsevier, 2006.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System 2, Elsevier, 2006

Reference 29

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Observation ba7e63f2-0378-4970-9c23-468d52e969ad · outbound

This paper cites Learning to com- municate with deep multi-agent reinforcement learn- ing,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Learning to com- municate with deep multi-agent reinforcement learn- ing,

Reference 30

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Observation 589156b4-244a-49e4-bca8-73ccda934874 · outbound

This paper cites React: Synergizing reasoning and acting in language models,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System React: Synergizing reasoning and acting in language models,

Reference 31

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Observation 332ccc5b-eb1b-4836-8fec-fec4dcee7145 · outbound

This paper cites DeepSeek-V3 Technical Report.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System DeepSeek-V3 Technical Report

Reference 32

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verified exact
local_arxiv, observed 2026-07-03T23:49:02.829634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b2fe4fbe-b6ef-45d4-8c40-ef9ac05e461c · outbound

This paper cites Grok-3 language model,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Grok-3 language model,

Reference 33

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Observation 608662e1-b386-446b-86e4-879f78e5ba61 · outbound

This paper cites Openai api models: Gpt-3.5,.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Openai api models: Gpt-3.5,

Reference 34

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Pith citing papers

Observation cf58b97d-f617-4a39-8b45-8360bd194d36 · inbound

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System cites this paper.

Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System Empowering Economic Simulation Through Situation-Aware Llm-Driven Generative System

Reference 1

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metadata mismatch
local_arxiv, observed 2026-07-03T23:49:02.834552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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