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Paper Citation Record · LEDGER

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference

As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2509.07571.

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

pith.paper-citation-record.v1
2509.07571 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:03:02.083797Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

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  • verified fuzzy4
  • unresolved19
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc2ee3ef-b17f-4ffe-b16c-96da318de0ac · outbound

This paper cites 2024 aime problems and solutions.,.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference 2024 aime problems and solutions.,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-04T22:03:02.832551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-04T22:03:00.639561Z digest=sha256:8d433074bdef1474195506d041d59511fbe3601e2faf45ff3c45058ec61bafcc

Observation 947731c4-965f-4e2b-9e7c-1fe948c15337 · outbound

This paper cites GraphRouter: A Graph-based Router for LLM Selections.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference GraphRouter: A Graph-based Router for LLM Selections

Reference 5

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source=pdf_text observed=2026-08-04T22:03:01.025641Z digest=sha256:5e9bf4c37b0c2f40f7afdd255374936c5d91c70313902d413eb2e5c9349afb1a

Observation dba8262f-292c-4ebd-8fb1-086bea6ec619 · outbound

This paper cites Prompt-to-Leaderboard.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference Prompt-to-Leaderboard

Reference 6

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source=pdf_text observed=2026-08-04T22:03:01.095225Z digest=sha256:dc5c8ae84f25c3d170ca30e07e5a2a7693f9ed5254c194199d9c63dcf787cba8

Observation cd0bffdc-56ff-4d57-a439-9dfb52469129 · outbound

This paper cites Moa: Mixture of sparse attention for automatic large language model compression.arXiv preprint arXiv:2406.14909,.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference Moa: Mixture of sparse attention for automatic large language model compression.arXiv preprint arXiv:2406.14909,

Reference 7

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source=pdf_text observed=2026-08-04T22:03:01.267557Z digest=sha256:45e2d0b454e5b74a80290111f19ce2c58725ae03061797c2595303bb5bb45cbd

Observation 17981650-791e-4faf-9a9c-b5d55ce5a1c6 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

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source=pdf_text observed=2026-08-04T22:03:01.383236Z digest=sha256:d3b4f96e8922cd336e8964f08ffe5076a410cd90017a1c657250ebffbc2bdb60

Observation eed67855-1450-49ca-a21c-63eba076fd49 · outbound

This paper cites Joyagents-r1: Joint evolution dynamics for versatile multi-llm agents with reinforcement learning.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference Joyagents-r1: Joint evolution dynamics for versatile multi-llm agents with reinforcement learning

Reference 9

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source=pdf_text observed=2026-08-04T22:03:01.454561Z digest=sha256:a6c03b4809b87b6aa8c16f98acc3e4fcd51c8888fb7db57a115c42c8c3065eaf

Observation fc08265a-3e68-4fb9-ace3-59ab41ce5ec3 · outbound

This paper cites Large language models for code: Security hardening and adver- sarial testing.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference Large language models for code: Security hardening and adver- sarial testing

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-04T22:03:02.783669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-04T22:03:01.571554Z digest=sha256:485e1dd1df4492dc92f0a71d47d6b97a3ef93b3a229bfbfc6c69ce7e94c4fe58

Observation 5c46c619-221d-4146-945c-599208f33f64 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 12

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source=pdf_text observed=2026-08-04T22:03:01.990619Z digest=sha256:d0e2893476739a95cd368433238edba03176eced5d8eaba3df366838bcc7f23e

Observation 9747c1c0-3807-410f-bf75-e47dc570bee1 · outbound

This paper cites LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 13

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source=pdf_text observed=2026-08-04T22:03:01.998475Z digest=sha256:0e0e4da5adb3c22c455256334fb33bc8d7bbee2ff2c4fd504d2864bff63b6d7d

Observation b24de13b-efe0-40b4-9fce-a042c67f8316 · outbound

This paper cites DeepSeek-V3 Technical Report.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference DeepSeek-V3 Technical Report

Reference 16

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source=pdf_text observed=2026-08-04T22:03:02.019440Z digest=sha256:3a60de3e838822723f78edf7b8b622537fc9e08384af3f0ee1adb194e197a138

Observation 0fad8384-2d4d-479b-a8f4-f7cce359867c · outbound

This paper cites Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 17

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source=pdf_text observed=2026-08-04T22:03:02.028525Z digest=sha256:9cb6e1e749ef671e57161f68f9641d48f40fd588f2bc216d99d93d9b3a2659ae

Observation e52c4210-4464-4e91-9f07-b3b560336fcc · outbound

This paper cites RouteLLM: Learning to Route LLMs with Preference Data.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference RouteLLM: Learning to Route LLMs with Preference Data

Reference 18

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source=pdf_text observed=2026-08-04T22:03:02.034792Z digest=sha256:ab5c464fa05d519c4008dbdc8e27c89577bb486e9f671f4e9651b465f7cca859

Observation 5d71bac7-d295-42be-a65b-64ed46c6434e · outbound

This paper cites Mixture-of-Agents Enhances Large Language Model Capabilities.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference Mixture-of-Agents Enhances Large Language Model Capabilities

Reference 19

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source=pdf_text observed=2026-08-04T22:03:02.041305Z digest=sha256:671cb5d40b75154151239d1fc8d64388bd92439a6a2bfed4f0fe63be63e8901f

Observation 798a97a3-3e8d-496f-93ff-410cba03e8bd · outbound

This paper cites Measuring short-form factuality in large language models.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference Measuring short-form factuality in large language models

Reference 20

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source=pdf_text observed=2026-08-04T22:03:02.053966Z digest=sha256:0c8d085e824518ddbd258fa2eb23cc933108d794341e59895f5ba6216aaada7e

Observation e93d2225-9b55-41f0-8a99-be042e25e16b · outbound

This paper cites Qwen3 Technical Report.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference Qwen3 Technical Report

Reference 21

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source=pdf_text observed=2026-08-04T22:03:02.062492Z digest=sha256:5befc047792364243efa685c4025ed402416bd022fb437c0e63dc0fe321a41f0

Observation 7f093be1-2537-4ba9-9226-99e65d6d887c · outbound

This paper cites Be- yond gpt-5: Making llms cheaper and better via performance-efficiency optimized routing.arXiv preprint arXiv:2508.12631, 2025a.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference Be- yond gpt-5: Making llms cheaper and better via performance-efficiency optimized routing.arXiv preprint arXiv:2508.12631, 2025a

Reference 22

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source=pdf_text observed=2026-08-04T22:03:02.071125Z digest=sha256:fba3c3c5686705ac738e6b04b7a2b3d62e31272e341ca4b82fdf06d44bf80049

Observation 79f1ef38-4279-43f6-b99c-9bd97c1b82ce · outbound

This paper cites macro- level category signals.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference macro- level category signals

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-04T22:03:02.083797Z digest=sha256:9a57a4221969de3c9c8f9ad62eb8289ce0a9db42c4749d26f5edfb9904c070f2

Observation c20b88c8-e6cb-47fd-9621-5b7a1295e591 · outbound

This paper cites Qwen2.5-Coder Technical Report.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference Qwen2.5-Coder Technical Report

Reference 2001

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source=pdf_text observed=2026-08-04T22:03:01.677545Z digest=sha256:0625504419c1d2980eb33ff9fdc435082c9c2f3dc5f214619b3f349c6da0c43e

Observation e048fe38-e460-433f-9515-8b4fc77ff1c0 · outbound

This paper cites Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing

Reference 2019

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source=pdf_text observed=2026-08-04T22:03:00.916850Z digest=sha256:750241bbdff8096cd28e8db0d17e7468d9ca053dab0791d8fc74cf2f97998e85

Observation d26b3cd4-b532-4037-adf7-807fa791a3a4 · outbound

This paper cites Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?

Reference 2020

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source=pdf_text observed=2026-08-04T22:03:02.011254Z digest=sha256:6601cf11d2073257364bb8443d92be23e2b4b17a45eca54136cdf4e98b71bcf6

Observation 558360f0-b6b8-42be-96e9-02961abfdf66 · outbound

This paper cites Message type identification of binary network protocols using continuous segment similarity.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference Message type identification of binary network protocols using continuous segment similarity

Reference 2023

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verified fuzzy
raw_fallback, observed 2026-08-04T22:03:02.750286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-04T22:03:02.003532Z digest=sha256:6515649da685192e30f0c96e3b41268fd10f31bb732175a22ba9f4b5c5e57924

Observation 1583596b-2d35-40ad-9718-7674abcabe0e · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 2024

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source=pdf_text observed=2026-08-04T22:03:00.687862Z digest=sha256:6159cfbc0f20f4f06f2b628a62bab7bc88e5dd8bd0fd2f760c9a869711cc8814

Observation 7b884cbd-b944-4c55-8898-713e06f2bd58 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 2025

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source=pdf_text observed=2026-08-04T22:03:00.800450Z digest=sha256:1ac203a6e00eb8f32697f1fa80a044733d934aa7c6c7e8e6db1b5d219c27fc69

Pith citing papers

No inbound Pith citation observations are available.