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Paper Citation Record · LEDGER

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking

As of 22 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.17751.

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

pith.paper-citation-record.v1
2607.17751 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:09:21.087449Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

28 of 28 outbound references displayed

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Outbound references

Observation 891fc2ea-0ffb-43fa-93c4-85aaed9b9265 · outbound

This paper cites Understanding the planning of LLM agents: A survey.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Understanding the planning of LLM agents: A survey

Reference 4

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Observation a6545571-9273-4385-8d75-9dcee0de60c6 · outbound

This paper cites Agentbench: Evaluating llms as agents.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Agentbench: Evaluating llms as agents

Reference 6

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Observation c4d06dc5-2e9f-4818-a7d5-94ec1675b50f · outbound

This paper cites Document ranking with a pretrained sequence-to-sequence model.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Document ranking with a pretrained sequence-to-sequence model

Reference 11

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Observation 712ee17c-b8b0-4d21-a159-e28f628889ab · outbound

This paper cites The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models

Reference 12

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Observation 8c44100b-4d7f-4184-a406-2741bb939a47 · outbound

This paper cites CREATOR: Tool creation for disentangling abstract and concrete reasoning of large language models.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking CREATOR: Tool creation for disentangling abstract and concrete reasoning of large language models

Reference 14

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source=pdf_text observed=2026-08-01T17:09:19.238855Z digest=sha256:e403e31b76631dcd60c230a384ea19d3289d5252b3372fcdff24ede111b79b4a

Observation 4ce484bd-73fe-471c-a0ef-e87812059960 · outbound

This paper cites Toolllm: Facilitating large language models to master 16000+ real-world apis.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Toolllm: Facilitating large language models to master 16000+ real-world apis

Reference 15

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source=pdf_text observed=2026-08-01T17:09:19.349589Z digest=sha256:b52ab9e71f7295a744b1ee7442a54c83ed6318acc960b7d8a50fc362f96b839b

Observation ea37b8c2-9485-4abe-a92b-8ce75bfdb906 · outbound

This paper cites Sentence-BERT: Sentence embeddings using siamese BERT- networks.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Sentence-BERT: Sentence embeddings using siamese BERT- networks

Reference 16

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source=pdf_text observed=2026-08-01T17:09:19.486026Z digest=sha256:d762466017969bb1f38494c1827f4cb93578908816b7ddbf6be64f41eb39bca8

Observation 835c91d2-095c-4662-b425-a9481e6c5652 · outbound

This paper cites Retrieval models aren’t tool-savvy: Benchmarking tool retrieval for large language models.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Retrieval models aren’t tool-savvy: Benchmarking tool retrieval for large language models

Reference 18

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Observation bbad2221-ae51-4a30-8ee6-22ccf66cb9e1 · outbound

This paper cites Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 19

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source=pdf_text observed=2026-08-01T17:09:19.928246Z digest=sha256:f89ce5cae5996e3088e4130ecaaded7f524a467a87b86ec9fba2e09f2138dc10

Observation 0989f21d-9f12-40cf-9259-3086fe695246 · outbound

This paper cites Efficient context selection for long-context QA: No tuning, no iteration, just adaptive-k.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Efficient context selection for long-context QA: No tuning, no iteration, just adaptive-k

Reference 20

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Observation 3544b503-cbf3-4535-8fdb-b4c8fb1dd5f7 · outbound

This paper cites Hammerbench: Fine-grained function-calling evalu- ation in real mobile assistant scenarios.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Hammerbench: Fine-grained function-calling evalu- ation in real mobile assistant scenarios

Reference 21

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Observation 2f9216b7-37a1-4b9a-b938-5c3864f4eb63 · outbound

This paper cites Improving text embeddings with large language models.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Improving text embeddings with large language models

Reference 22

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Observation 5e938008-f6bc-41fb-ab33-6af629c649f4 · outbound

This paper cites Enhancing tool retrieval with iterative feedback from large language models.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Enhancing tool retrieval with iterative feedback from large language models

Reference 23

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Observation b7876ebc-1011-4b66-a6c1-b4f16d391f28 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking ReAct: Synergizing Reasoning and Acting in Language Models

Reference 24

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Observation 4528c567-4f02-4692-a15d-257ac36d39ea · outbound

This paper cites Survey on Evaluation of LLM-based Agents.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Survey on Evaluation of LLM-based Agents

Reference 26

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Observation fa5a4d27-a2be-4bb2-8a0d-b8e24d46246c · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 27

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source=pdf_text observed=2026-08-01T17:09:20.951263Z digest=sha256:02b82eadfe4d3ee786d8ad8e33a7efb7340b88c5823d8ae1c189b9ba3e65f662

Observation e1d7ba0f-a211-4871-8530-9c60b8941211 · outbound

This paper cites Webarena: A realistic web environment for building autonomous agents.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Webarena: A realistic web environment for building autonomous agents

Reference 28

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Observation afc89b5e-cfed-45bb-bf7a-cdaa2a616a80 · outbound

This paper cites ToolOmni: Enabling Open-World Tool Use via Agentic learning with Proactive Retrieval and Grounded Execution.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking ToolOmni: Enabling Open-World Tool Use via Agentic learning with Proactive Retrieval and Grounded Execution

Reference 1997

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Observation a5d782e3-d58c-42f0-ab5c-dd7732cc211e · outbound

This paper cites Passage Re-ranking with BERT.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Passage Re-ranking with BERT

Reference 2005

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Observation c6ab5f09-7b22-4c1c-ab2d-cf4ae5f095d2 · outbound

This paper cites 29 HONOR Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joëlle Pineau, and Luke Zettlemoyer.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking 29 HONOR Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joëlle Pineau, and Luke Zettlemoyer

Reference 2009

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source=pdf_text observed=2026-08-01T17:09:19.619772Z digest=sha256:b99d6df893897fcb0f9c926ce5be6863373f6f524d4ef36108ccaeeb84ec7b4e

Observation 04262f1c-eadc-4d58-b44d-137c310fc9f8 · outbound

This paper cites Multi-Stage Document Ranking with BERT.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Multi-Stage Document Ranking with BERT

Reference 2019

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Observation f7071ae9-c8c1-4d59-bc2f-6dbe9dbc1845 · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 2020

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Observation 1bc1b841-683f-403f-93b3-0ceb2309b012 · outbound

This paper cites RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models

Reference 2021

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Observation 96120c03-8eda-4562-9ac5-9ceb27175d5c · outbound

This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 2022

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Observation f848a1e5-55a0-4d73-8b32-19391e1ebfbf · outbound

This paper cites Gaia: a benchmark for general ai assistants.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Gaia: a benchmark for general ai assistants

Reference 2023

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Observation 68523aa3-5bd4-409e-b23c-9de358d9babb · outbound

This paper cites Re-invoke: Tool invocation rewriting for zero-shot tool retrieval.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Re-invoke: Tool invocation rewriting for zero-shot tool retrieval

Reference 2024

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Observation 08b9b287-a87e-49c8-875e-18e9643cca77 · outbound

This paper cites Zero-Shot Listwise Document Reranking with a Large Language Model.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Zero-Shot Listwise Document Reranking with a Large Language Model

Reference 2025

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Observation 2b85333b-84cf-4fb8-b655-5ea0a0cd935d · outbound

This paper cites FIRST: Faster improved listwise reranking with single token decoding.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking FIRST: Faster improved listwise reranking with single token decoding

Reference 2026

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source=pdf_text observed=2026-08-01T17:09:17.660321Z digest=sha256:c93b78c28b4749376db3c7713be84c7ac70c55f6be4e5fc92ea4771b9fc97bb3

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