Paper Citation Record · LEDGER

Multi-Agent System for Cosmological Parameter Analysis

As of 14 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 4 inbound Pith citation observations for arXiv:2412.00431.

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

pith.paper-citation-record.v1
2412.00431 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:26:14.138581Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:48:19.384259Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

43 of 43 outbound references displayed

verified exact1
verified fuzzy1
unresolved39
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

1
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

Observation 800ee77f-eacd-4689-a56e-325df28c6ea7 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Multi-Agent System for Cosmological Parameter Analysis AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:13.955467Z

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Observation 6223e8ba-99f2-47c9-b1a9-9a786b53311f · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Multi-Agent System for Cosmological Parameter Analysis LLaMA: Open and Efficient Foundation Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:13.960865Z

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Observation 834694aa-3794-4638-bea7-09705b5b8ca0 · outbound

This paper cites Language Models are Few-Shot Learners.

Multi-Agent System for Cosmological Parameter Analysis Language Models are Few-Shot Learners

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:13.965062Z

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Observation 9570ade3-2052-47f7-b08b-7d7c150370ec · outbound

This paper cites GPT-4 Technical Report.

Multi-Agent System for Cosmological Parameter Analysis GPT-4 Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:13.969423Z

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Observation 4f34a9c9-18e8-496d-8d1b-0d915eded968 · outbound

This paper cites Transformers for scientific data: a pedagogical review for astronomers.

Multi-Agent System for Cosmological Parameter Analysis Transformers for scientific data: a pedagogical review for astronomers

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T05:26:14.635434Z

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 fd72fc07-d2e9-4a2b-bd20-acf2732ab259 · outbound

This paper cites SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning.

Multi-Agent System for Cosmological Parameter Analysis SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:13.977622Z

Source-reported events for the cited work

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Observation 7d7fd6ed-9d7a-48de-80de-4060e04c6f94 · outbound

This paper cites an unresolved cited work.

Multi-Agent System for Cosmological Parameter Analysis Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:13.982480Z

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Observation 982f3bce-da52-4ab9-a5bb-2752342e10f5 · outbound

This paper cites Interpreting Multi-band Galaxy Observations with Large Language Model-Based Agents.

Multi-Agent System for Cosmological Parameter Analysis Interpreting Multi-band Galaxy Observations with Large Language Model-Based Agents

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:13.986313Z

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Observation 5c3f0e4c-6cd1-4f18-bb05-e6098dbe5f07 · outbound

This paper cites The Atacama Cosmology Telescope: DR6 Gravitational Lensing Map and Cosmological Parameters.

Multi-Agent System for Cosmological Parameter Analysis The Atacama Cosmology Telescope: DR6 Gravitational Lensing Map and Cosmological Parameters

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:13.990019Z

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Observation 046e9b36-472e-423b-8d7c-17fa5d746768 · outbound

This paper cites The Atacama Cosmology Telescope: A Measurement of the DR6 CMB Lensing Power Spectrum and its Implications for Structure Growth.

Multi-Agent System for Cosmological Parameter Analysis The Atacama Cosmology Telescope: A Measurement of the DR6 CMB Lensing Power Spectrum and its Implications for Structure Growth

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:13.994265Z

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Observation 1b4e91a6-00ee-417f-ae61-f6fd6d861b6b · outbound

This paper cites The Atacama Cosmology Telescope: Mitigating the impact of extragalactic foregrounds for the DR6 CMB lensing analysis.

Multi-Agent System for Cosmological Parameter Analysis The Atacama Cosmology Telescope: Mitigating the impact of extragalactic foregrounds for the DR6 CMB lensing analysis

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:13.998197Z

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Observation 5637acd7-5472-4738-af90-93e66aa7bb71 · outbound

This paper cites Efficient Computation of CMB anisotropies in closed FRW models.

Multi-Agent System for Cosmological Parameter Analysis Efficient Computation of CMB anisotropies in closed FRW models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.002178Z

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Observation 27833c9a-6947-4225-8024-b8e344401bc3 · outbound

This paper cites The Cosmic Linear Anisotropy Solving System (CLASS) II: Approximation schemes.

Multi-Agent System for Cosmological Parameter Analysis The Cosmic Linear Anisotropy Solving System (CLASS) II: Approximation schemes

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.006242Z

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Observation d1e6093f-ce53-4577-9c2b-953c230a7fb0 · outbound

This paper cites Cobaya: Code for Bayesian Analysis of hierarchical physical models.

Multi-Agent System for Cosmological Parameter Analysis Cobaya: Code for Bayesian Analysis of hierarchical physical models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.010149Z

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Observation 9ab7da95-f2bb-4053-acf9-e307b1690834 · outbound

This paper cites GetDist: a Python package for analysing Monte Carlo samples.

Multi-Agent System for Cosmological Parameter Analysis GetDist: a Python package for analysing Monte Carlo samples

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.014331Z

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Observation 857a3ffc-3b40-44fe-b340-881cdb4ef6d1 · outbound

This paper cites class_sz I: Overview.

Multi-Agent System for Cosmological Parameter Analysis class_sz I: Overview

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.018403Z

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Observation db639c0e-1d59-455a-afca-0bc9dbbd6294 · outbound

This paper cites The Planck SZiFi catalogues: a new set of Planck catalogues of Sunyaev-Zeldovich-detected galaxy clusters.

Multi-Agent System for Cosmological Parameter Analysis The Planck SZiFi catalogues: a new set of Planck catalogues of Sunyaev-Zeldovich-detected galaxy clusters

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.022499Z

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Observation 8d8c1c7f-da35-42f8-96e8-f2cb0788b0ef · outbound

This paper cites TensorFlow: A system for large-scale machine learning.

Multi-Agent System for Cosmological Parameter Analysis TensorFlow: A system for large-scale machine learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.026808Z

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Observation e7a6e671-a1b1-4b79-bd90-ccaa92accb6a · outbound

This paper cites COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys.

Multi-Agent System for Cosmological Parameter Analysis COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.031645Z

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Observation 4101f352-6c13-4e01-beb5-7ef7a53ee23d · outbound

This paper cites High-accuracy emulators for observables in $\Lambda$CDM, $N_\mathrm{eff}$, $\Sigma m_\nu$, and $w$ cosmologies.

Multi-Agent System for Cosmological Parameter Analysis High-accuracy emulators for observables in $\Lambda$CDM, $N_\mathrm{eff}$, $\Sigma m_\nu$, and $w$ cosmologies

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.035624Z

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Observation bc3c0173-827f-494a-bd37-15671cc26598 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Multi-Agent System for Cosmological Parameter Analysis Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.039774Z

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Observation 2a82972e-9766-41e9-ad30-b323b056e0cf · outbound

This paper cites Planck 2018 results. VI. Cosmological parameters.

Multi-Agent System for Cosmological Parameter Analysis Planck 2018 results. VI. Cosmological parameters

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.043792Z

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Observation 040f36a1-f06e-45a4-9d40-d0c4c695c89c · outbound

This paper cites CMB lensing from Planck PR4 maps.

Multi-Agent System for Cosmological Parameter Analysis CMB lensing from Planck PR4 maps

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.048022Z

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Observation 6e0b60f1-61c8-493b-90d9-eb591fae5276 · outbound

This paper cites Cosmological parameters derived from the final (PR4) Planck data release.

Multi-Agent System for Cosmological Parameter Analysis Cosmological parameters derived from the final (PR4) Planck data release

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.052271Z

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Observation f15ca6d9-6abd-465f-bf8f-c86fe923410d · outbound

This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.

Multi-Agent System for Cosmological Parameter Analysis OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.056316Z

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Observation a9bc9227-d32d-4c35-acf3-e381c9c68515 · outbound

This paper cites Language agents achieve superhuman synthesis of scientific knowledge.

Multi-Agent System for Cosmological Parameter Analysis Language agents achieve superhuman synthesis of scientific knowledge

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.060407Z

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Observation d1f6d7b2-c159-4c4a-b628-275850836b22 · outbound

This paper cites Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

Multi-Agent System for Cosmological Parameter Analysis Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.064505Z

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Observation b366cbef-70e7-431c-baae-82e189db51c5 · outbound

This paper cites cosmosage: A Natural-Language Assistant for Cosmologists.

Multi-Agent System for Cosmological Parameter Analysis cosmosage: A Natural-Language Assistant for Cosmologists

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-12T05:26:14.368598Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 76891bbc-0e37-467a-8e08-3e1c7c5c559c · outbound

This paper cites AstroLLaMA: Towards Specialized Foundation Models in Astronomy.

Multi-Agent System for Cosmological Parameter Analysis AstroLLaMA: Towards Specialized Foundation Models in Astronomy

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.077791Z

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Observation fdbcffaa-751e-4454-9a97-8cabf85ea343 · outbound

This paper cites AstroMLab 1: Who Wins Astronomy Jeopardy!?.

Multi-Agent System for Cosmological Parameter Analysis AstroMLab 1: Who Wins Astronomy Jeopardy!?

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.082127Z

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Observation d2df9b16-3623-47b1-9646-f0d5272b3e51 · outbound

This paper cites AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy.

Multi-Agent System for Cosmological Parameter Analysis AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.086421Z

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Observation 11f879ff-9a9c-47c3-ae5a-073ac43523d2 · outbound

This paper cites AstroMLab 3: Achieving GPT-4o Level Performance in Astronomy with a Specialized 8B-Parameter Large Language Model.

Multi-Agent System for Cosmological Parameter Analysis AstroMLab 3: Achieving GPT-4o Level Performance in Astronomy with a Specialized 8B-Parameter Large Language Model

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T05:26:14.312086Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 15659607-6e73-4c47-bf90-43cb7891e407 · outbound

This paper cites Canese , author G.

Multi-Agent System for Cosmological Parameter Analysis Canese , author G

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:26:14.710779Z

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 f4e3532e-3a0a-4cb4-a5d2-4018ffd78d22 · outbound

This paper cites Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers.

Multi-Agent System for Cosmological Parameter Analysis Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.100182Z

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Observation 951835f2-a5bc-4ac0-befd-85cb9051d30a · outbound

This paper cites Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs.

Multi-Agent System for Cosmological Parameter Analysis Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.104184Z

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Observation cba23dbd-76c1-4ca4-8785-50eecac97391 · outbound

This paper cites Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System.

Multi-Agent System for Cosmological Parameter Analysis Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.108206Z

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Observation 5ceb7326-080e-4133-9ee1-c9c73a856fdb · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

Multi-Agent System for Cosmological Parameter Analysis The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.112429Z

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Observation 8258eed5-3e33-48d4-8b28-38906598eaf5 · outbound

This paper cites Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks.

Multi-Agent System for Cosmological Parameter Analysis Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.118202Z

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Observation f1d0b1ee-8de8-4d28-abf4-d9d093314353 · outbound

This paper cites BenchMARL: Benchmarking Multi-Agent Reinforcement Learning.

Multi-Agent System for Cosmological Parameter Analysis BenchMARL: Benchmarking Multi-Agent Reinforcement Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.122087Z

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Observation 9378273c-8565-4647-83f5-83e2e62ad865 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Multi-Agent System for Cosmological Parameter Analysis Proximal Policy Optimization Algorithms

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.126004Z

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Observation 90796123-801a-47e9-876c-17eeaed744fb · outbound

This paper cites Game-Theoretic Multiagent Reinforcement Learning.

Multi-Agent System for Cosmological Parameter Analysis Game-Theoretic Multiagent Reinforcement Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.130123Z

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Observation 1366ad71-e52c-4167-afaf-22dcf5d9518d · outbound

This paper cites Reinforcing Language Agents via Policy Optimization with Action Decomposition.

Multi-Agent System for Cosmological Parameter Analysis Reinforcing Language Agents via Policy Optimization with Action Decomposition

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T05:26:14.134503Z

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Observation 419dd461-5781-452e-9cf1-d52fbc9d7a11 · outbound

This paper cites an unresolved cited work.

Multi-Agent System for Cosmological Parameter Analysis Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:26:14.698437Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 24cf0892-be8f-4460-b214-f97c3bc4e029 · inbound

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications cites this paper.

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications Multi-Agent System for Cosmological Parameter Analysis

Reference 135

Resolution: unresolved; no resolver link, observed 2026-08-07T00:48:19.384259Z

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Observation b39b57fa-8d4f-4c65-a71d-3125cb8efb84 · inbound

Bridging Literature and the Universe Via A Multi-Agent Large Language Model System cites this paper.

Bridging Literature and the Universe Via A Multi-Agent Large Language Model System Multi-Agent System for Cosmological Parameter Analysis

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:12:40.079511Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 61c2d63b-c8c3-4b41-a239-a453e9df462f · inbound

DeepInflation: an AI agent for research and model discovery of inflation cites this paper.

DeepInflation: an AI agent for research and model discovery of inflation Multi-Agent System for Cosmological Parameter Analysis

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T10:42:27.887899Z

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Observation 7e2a3c06-56bc-4212-8b0f-a482a31888a1 · inbound

Agentic Re-Casting using Agentic Re-Simulations cites this paper.

Agentic Re-Casting using Agentic Re-Simulations Multi-Agent System for Cosmological Parameter Analysis

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:02.094841Z

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