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Paper Citation Record · LEDGER

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2505.16221.

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

pith.paper-citation-record.v1
2505.16221 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:11:17.508971Z

measured 32 of 32 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:12:30.358427Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:12:32.763864Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98d5218d-0356-439e-b79e-c698bec99aa0 · outbound

This paper cites GPT-4 Technical Report.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:17.377349Z digest=sha256:29a03c6ec8c6d6c8d844f03a2919e7a617e0ee156bf99c57a6d9c26a0d31b67e

Observation f1b8e9c3-1adb-4d38-8746-3c9f7c720aae · outbound

This paper cites ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models

Reference 3

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local_arxiv, observed 2026-08-07T15:11:17.804529Z

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=2026-08-07T15:11:17.387110Z digest=sha256:53eba23b93b5b4cb6d6307073c2719f6df3e301aa33093b3f8a1b6510aafca33

Observation 2c2becf4-31d5-4ad3-b125-5f8a59840f88 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901,.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901,

Reference 4

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source=pdf_text observed=2026-08-07T15:11:17.391752Z digest=sha256:33ee3736f0423a82b88157797c564095f5e2944ca8646875c620fed980169a29

Observation 83ff80c2-26b6-4d4a-9080-b6a4b08d7654 · outbound

This paper cites What is the Role of Small Models in the LLM Era: A Survey.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead What is the Role of Small Models in the LLM Era: A Survey

Reference 6

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source=pdf_text observed=2026-08-07T15:11:17.400739Z digest=sha256:a4298fe97e5a6911609077d585cc662e0afbaa4709cb884f8c150d143866fe1f

Observation 5dfa909c-c980-461c-b32d-7a1654252f13 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Training Verifiers to Solve Math Word Problems

Reference 8

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source=pdf_text observed=2026-08-07T15:11:17.410189Z digest=sha256:8c13dd9fc5717780862f205dd870d92b9545351fc8d8db03d3f1c32c9304a9e4

Observation c95e968f-97f7-4df0-abe0-5eec708e0034 · outbound

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

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead GraphRouter: A Graph-based Router for LLM Selections

Reference 9

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source=pdf_text observed=2026-08-07T15:11:17.414033Z digest=sha256:adea723cea225cfbd877a945f00d4c0164da1feae31669f6b7f2ff61481ed905

Observation 069df2ac-0260-43a1-91ca-6f94f046e6f7 · outbound

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

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

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source=pdf_text observed=2026-08-07T15:11:17.418633Z digest=sha256:08ac1952fab6084b40f31d610cb01a77d135aee0c52602b54202727789f48abb

Observation c52a99ea-ff7a-4cd4-9e8a-801a660d0dca · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Measuring Mathematical Problem Solving With the MATH Dataset

Reference 12

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source=pdf_text observed=2026-08-07T15:11:17.426762Z digest=sha256:79833413b2749f937c862ec172ea9275c8bdb1607a4602f1f383e21b9c435287

Observation f9b76be3-78ac-49d5-82ed-63d56d03b83a · outbound

This paper cites RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs

Reference 13

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source=pdf_text observed=2026-08-07T15:11:17.431359Z digest=sha256:116c88f9cf25253907df9d637f60e6c172c74e0b9ccce6cc2a17c5dc3b623be4

Observation 49450460-5ef7-4d2f-872b-e5b496c3bb6f · outbound

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

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 15

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source=pdf_text observed=2026-08-07T15:11:17.439648Z digest=sha256:8380c432c709e46a49855cfd329dfa86bde1161ee6f07e96579f8afaaf01792f

Observation 018e734a-9868-475c-bd3d-65cc79230b4b · outbound

This paper cites DeepSeek-V3 Technical Report.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead DeepSeek-V3 Technical Report

Reference 16

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source=pdf_text observed=2026-08-07T15:11:17.444316Z digest=sha256:7521b5d8d7534cbd44fbab16719bf9221224289f2d7e9a805abd894ea6dc7c58

Observation a165b283-98a8-40eb-a0f3-1a1b91fb7a56 · outbound

This paper cites SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization

Reference 17

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source=pdf_text observed=2026-08-07T15:11:17.448589Z digest=sha256:a88a1c53cba464824502fdef647ce1eee450b4bbe294adcfff5cb1b8c1d85374

Observation f16862dc-de39-41ba-92ec-bf35c1834da9 · outbound

This paper cites SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization

Reference 19

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local_arxiv, observed 2026-08-07T15:11:17.648488Z

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=2026-08-07T15:11:17.457684Z digest=sha256:0b7adee4e5a1b815dcc8ee256e8c43af0fb3d7a29fa7e46612638775c8ec3e9f

Observation 16a59abc-42f5-4549-9af3-7f1087c77506 · outbound

This paper cites DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 20

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source=pdf_text observed=2026-08-07T15:11:17.462875Z digest=sha256:516c4ad797d0b0a2a599d1e45c66a77ee49b5b83b8b2afdc6d0b66b360f9ca06

Observation c3164259-a084-45f9-b105-2c42059b315a · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 21

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source=pdf_text observed=2026-08-07T15:11:17.466646Z digest=sha256:9f06db99dee3df5a3cbf682f65b3bf69986fa9f420b1efb66f4d278e2a8067d9

Observation 58137cba-4e09-4b2b-82f6-1e80f68e5450 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 23

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source=pdf_text observed=2026-08-07T15:11:17.475653Z digest=sha256:9a02c76775ca707895a2227f0b6d9637437ed05096716814bcf40bcba002c905

Observation 56670945-d38a-4755-b634-c265dccd252f · outbound

This paper cites Qwen2.5 Technical Report.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Qwen2.5 Technical Report

Reference 24

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source=pdf_text observed=2026-08-07T15:11:17.480116Z digest=sha256:58a5bd043d85642120f1084606aa43c1209403d638ebd534d5abf6bace1bc266

Observation cf3c5653-c41b-463d-9d1b-cc8aa5df1408 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 25

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source=pdf_text observed=2026-08-07T15:11:17.483284Z digest=sha256:66e3427374657b8c016dd5ea1ccdd9749382337d5dd06293966baa642059d881

Observation 3f381e3c-4203-48f6-8c7c-7a3a057e09ff · outbound

This paper cites Knowledge Fusion of Large Language Models.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Knowledge Fusion of Large Language Models

Reference 26

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source=pdf_text observed=2026-08-07T15:11:17.487698Z digest=sha256:4b5bae7afac466e61159c32432fb5b8420235bd3953dee2436d937573d4409ce

Observation 6e111868-9f4f-468c-bda8-3467697e0de3 · outbound

This paper cites Fusing Models with Complementary Expertise.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Fusing Models with Complementary Expertise

Reference 27

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source=pdf_text observed=2026-08-07T15:11:17.491867Z digest=sha256:7ba1ad20ed884119f775ee0722b30b6ebf3ec6861c4c88c921fcf66398a3468f

Observation aeeafed2-02ca-4a45-801d-431efa80e8b6 · outbound

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

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Mixture-of-Agents Enhances Large Language Model Capabilities

Reference 28

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source=pdf_text observed=2026-08-07T15:11:17.496688Z digest=sha256:a104d474937eaa2d8ba968f1e98a0c27de80680546cd51d9eb9cf4a13623a9f8

Observation 61955ac3-42b2-407e-9d19-fc9172cc3b35 · outbound

This paper cites Which llm to play? convergence-aware online model selection with time-increasing bandits.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Which llm to play? convergence-aware online model selection with time-increasing bandits

Reference 29

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raw_fallback, observed 2026-08-07T15:11:17.841325Z

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=2026-08-07T15:11:17.500344Z digest=sha256:8be3a016a6aafe4bd780b7968d4aee6f79f835c4ee265a06042da6550c99e431

Observation ab3414fc-0653-48c1-9560-8176bec39071 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead OPT: Open Pre-trained Transformer Language Models

Reference 30

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source=pdf_text observed=2026-08-07T15:11:17.505087Z digest=sha256:ee844785718c4311aa8892c2388e15ca4a7f597cd720a408057774847ae6254c

Observation 583335e7-1336-47f1-ada2-8c3354229c46 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 31

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source=pdf_text observed=2026-08-07T15:11:17.508971Z digest=sha256:14bc6aa0810ab31813a0172d3db474fd3392364920f2f7138a0922ae769f1bd7

Observation ca070952-f65b-4791-9cff-77ba8786d23c · outbound

This paper cites Mixtral of Experts.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Mixtral of Experts

Reference 1991

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source=pdf_text observed=2026-08-07T15:11:17.435510Z digest=sha256:a432bf3daac53672232f691cef8ef709652410fa8a08f565c7c77fc271001119

Observation af962790-1ffa-4c39-adfc-edd5e37800f7 · outbound

This paper cites Large Language Model Routing with Benchmark Datasets.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Large Language Model Routing with Benchmark Datasets

Reference 2017

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source=pdf_text observed=2026-08-07T15:11:17.471621Z digest=sha256:b8e613531ef862e89ed8be51c0a1aefd1ff7fed88539d5fbf8da6f4988a4df01

Observation b672965b-05d9-48b8-b89f-240cdbe535d8 · outbound

This paper cites ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs

Reference 2020

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source=pdf_text observed=2026-08-07T15:11:17.395603Z digest=sha256:d8f06127cf7f862c73fe1daff048b434638f915077f6d3546bdc0743e97864a4

Observation b2f5239e-f702-4185-8ac9-c9ea9028a953 · outbound

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

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 2021

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source=pdf_text observed=2026-08-07T15:11:17.453059Z digest=sha256:17255c5abfcab576a83f00daf84667916f35ddd58ce977bf8f69cf182fe721f1

Observation 2c3c1228-c1b4-4c39-9413-110048decd5f · outbound

This paper cites OceanGPT: A Large Language Model for Ocean Science Tasks.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead OceanGPT: A Large Language Model for Ocean Science Tasks

Reference 2023

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source=pdf_text observed=2026-08-07T15:11:17.383015Z digest=sha256:dfce11fe65810d98f333e223dca52096ea2da560c46cb9332e8949c4735cfc3f

Observation 1b4b8f71-c265-46a3-bb6a-5323fc749095 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Evaluating Large Language Models Trained on Code

Reference 2024

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source=pdf_text observed=2026-08-07T15:11:17.405752Z digest=sha256:36de98db6b048e10257679013cf7d1aacd6f45ef1049837e35af0553267ad978

Observation a7c682ba-fbeb-4e37-9a09-359652378c18 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Measuring Massive Multitask Language Understanding

Reference 2025

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source=pdf_text observed=2026-08-07T15:11:17.422882Z digest=sha256:ad48b9e52a58927d76e831bed5ac302b706e19c4c64c172110af036b7ab84902

Pith citing papers

Observation 00d5258b-8b42-4b4d-a9e6-27e880bd964e · inbound

Balancing Information Accuracy and Response Timeliness in Networked LLMs cites this paper.

Balancing Information Accuracy and Response Timeliness in Networked LLMs LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:12:32.860659Z

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=2026-08-06T05:12:30.358427Z digest=sha256:21d755001b253f5afc724d6df9a721476468f01fb6198f4d48c50e91a7dccc22