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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:03:00.639561Z digest=sha256:1d30d036d47486c44fef6127175149e7db47fcc5b4ffc1bc00bd6faf002c406d

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=sha256:5a7d50225079767551ccaec428128a2c0448b73fd140515ca1d88f38063ffdc9

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=sha256:7d49c9bd08a97714311a9b0bea090e5f865861d9ee85e994291ce12be4267197

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:ff63a4b0ca42067b9abb145451200d4478f1601ce28133bb2a36ba07bead3d70

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:e0a09f3a2e163e91c5d0b530570f42255a43ddc6a1e2d099ddf8b468f5e5bd84

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=sha256:8e72322ef57cf488921434843f8fb9b40878af9db367405d05c10decb4d810ba

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:03:01.571554Z digest=sha256:7a9df13ac621372f69a3fe0ba43bfd84d4a502b0b352d324dec73a0c71a879da

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=sha256:869d72218cf62c60e16790c449e32130e55275bc934e9909855f9dab51050914

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=sha256:16d773f3baa99e99d91508b6fc6dcaebdd80d27de805e1984f086ea1d3b3a572

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=sha256:0558dbe3424bde75f5c46673fae05e8c26596ae7238243b29b69c908eb80f706

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=sha256:86042ff01bbc6f28efcdaa1754845331f9c622b1d87a80bbbd6a0fda7bdad7f1

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:b0dcdb77083293dec89cca55931d1391420103e88ac0e1f04a3f7203bcf2f954

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=sha256:57d1e7b89551ac6cc23358fd601442bcbbbc4b2db93f4bb7cafa27fde953feb9

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:f3f86d2f738f83e72a8148503addab38fa5c55bd4f31719499e76095c5e1a00c

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=sha256:9428f30a1ce5470c9d280bdcf2742e52bf8b8cb8b709044ec500131e9924f8e3

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=sha256:83d3eb44b7715507cdc1bc6c9bb7e2426737fbd3e8022a833705ccb0d6327f85

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:03:02.083797Z digest=sha256:8c33e7dbe160e1f82af5cba996c33a0f7fe1b53cc1a245457670b28f61296968

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=sha256:98d3b655871c5dae4f98dab4354dd13a1845e7052c99078195d4ef243b7487c9

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=sha256:69baae3b30b76f47a894c29f42225bbd851bd87bd3b192403f6290c9e2619ffc

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=sha256:6fbc2f224064d412553e0d7c1a4cefbf77d321f6a591f0be242bf7a26bf564aa

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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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-04T22:03:02.003532Z digest=sha256:24f04f247398a7faac6126aa28f46e79fea8dc9db2a192b2d7b4d26fdbe231d0

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=sha256:549ee5eba5e024a927aec6d16f4adbe26d2d7645c7fd58c317ba2348f3c7d9f8

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=sha256:00dcb87cc7a91b13b4b1a784fdd90d1bf9fb7dcaec77eb08711b996b6172ec2d

Pith citing papers

No inbound Pith citation observations are available.