Pith. sign in

Paper Citation Record · LEDGER

Bench-CoE: a Framework for Collaboration of Experts from Benchmark

As of 14 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 3 inbound Pith citation observations for arXiv:2412.04167.

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

pith.paper-citation-record.v1
2412.04167 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:46:44.887481Z

measured 40 of 40 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:10:53.895829Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:36:45.092472Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact1
  • verified fuzzy12
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5918cccf-0ad5-42f7-bccb-57ac63e54715 · outbound

This paper cites Bowman, Gabor Angeli, Christopher Potts, and Christopher D.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Bowman, Gabor Angeli, Christopher Potts, and Christopher D

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:46:45.319677Z

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.

source=pdf_text observed=2026-08-11T21:46:44.750797Z digest=sha256:10e5077f4871d236eeb10c3e9b76ba16d5822b223d32b4ee8494a7a71e988803

Observation 8bda7517-7469-4739-b85a-efd8217647d6 · outbound

This paper cites an unresolved cited work.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:46:45.308474Z

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.

source=pdf_text observed=2026-08-11T21:46:44.755404Z digest=sha256:16db5295aa9f861e403bf5d0513c84959aea78a859c2f010c3992b2df3c853ba

Observation c138a71c-62d5-4b98-a72c-974d91b2dd2c · outbound

This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.759395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.759395Z digest=sha256:33e38d7e5437862919b65fe97b10ce27c440691b31b50540344a8529b3de5e37

Observation 4a13d49d-304f-41ff-8dd6-61c5e61eff50 · outbound

This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.764011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.764011Z digest=sha256:9ce2c6a91d753aeac311f3dae4407cadc1eccb2c7e5df834bc749759f2e75cd4

Observation 5af9441d-70bd-45b9-8e2a-245fbdf39bfa · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.768175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.768175Z digest=sha256:55e717640dc0b4bb588c7d994569389ce2537c40ae6c38e44cff9a2c85f2f618

Observation 300a9d80-a620-4745-a682-afbf4b142de8 · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.772239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.772239Z digest=sha256:19a615e717f62bb83ee093acedac987f7075860ce6f6cc20dbb9036b4497b7ed

Observation 49bd7a67-d392-4809-9a3a-ebb457219540 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Training Verifiers to Solve Math Word Problems

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.776446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.776446Z digest=sha256:e1b8fc5c62d6f64ad547b70942d2c7f8eaad82ed137ea411561c41052b4f9ae8

Observation 46973ba0-13ea-483f-9fb8-a6f7c4b8e15b · outbound

This paper cites BERT: Pre-training of deep bidirectional trans- formers for language understanding.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark BERT: Pre-training of deep bidirectional trans- formers for language understanding

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:46:45.297887Z

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.

source=pdf_text observed=2026-08-11T21:46:44.779964Z digest=sha256:80b0911a89549d3e3a459e45f745db545105c0c7dd67c556d942a949782158c0

Observation 9b1b66f1-f573-4387-883f-2b5d7ea17dbf · outbound

This paper cites an unresolved cited work.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:46:45.286850Z

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.

source=pdf_text observed=2026-08-11T21:46:44.783430Z digest=sha256:9f5604ca159c3551c748dae86adadac2ed3ba2a51c4ea9ff334b53ced91ac648

Observation 251e6251-3edb-4a45-895b-d212ab8ddfd0 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with sim- ple and efficient sparsity.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Switch transformers: Scaling to trillion parameter models with sim- ple and efficient sparsity

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.786737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.786737Z digest=sha256:47c2a3349da516e5b07ab5e755c9d466b6bba776e2b1762caaaeeafbea5d476a

Observation f44cf830-5d70-4430-a00a-83a783b79263 · outbound

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

Bench-CoE: a Framework for Collaboration of Experts from Benchmark GraphRouter: A Graph-based Router for LLM Selections

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.790065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.790065Z digest=sha256:6ce849417ff9db1b154c8303bcaf97ed878b495f33e2f1b19155b90003492ebc

Observation 7d2c7f86-f692-48bc-90ad-88e32ce9afac · outbound

This paper cites Mistral 7B.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Mistral 7B

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.793960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.793960Z digest=sha256:6b9bbbcd31a9fe6afb55d54317d499006ea4c1cacf5b1a10021fcbcad819b669

Observation 83b20151-0a60-4161-9e36-0d09ce005a21 · outbound

This paper cites Mixtral of Experts.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Mixtral of Experts

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.797572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.797572Z digest=sha256:ba5a4904588723196c6cd75c8040785171071322f0fb3387ee54bec817f807be

Observation f38e1d18-ea8a-4f50-a6f5-08e89cbf652c · outbound

This paper cites Llm- blender: Ensembling large language models with pairwise ranking and generative fusion.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Llm- blender: Ensembling large language models with pairwise ranking and generative fusion

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:46:45.269079Z

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.

source=pdf_text observed=2026-08-11T21:46:44.801464Z digest=sha256:892452f0381d0bcbd205c7bdc73c97cf2e8b0df0de02fc77b885bd30d9f5fe70

Observation c2ad3d26-4682-4820-be42-3e443e5f651c · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark LLaVA-OneVision: Easy Visual Task Transfer

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.807567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.807567Z digest=sha256:1f7f826fe6a6ef6795800dea0023e3b2590be6b0041eb2cf84ad664e62dcb162

Observation d1c2a2a9-8e0e-450a-8ccf-3d47bbd4bc7f · outbound

This paper cites Visual instruction tuning.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Visual instruction tuning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.811607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.811607Z digest=sha256:1b1ae0a5aee564a2545c0734d81ccdae8932b11369ee5782b9506fb167c39b44

Observation 30163ee1-b966-4db0-878f-6ad4ffbff5a9 · outbound

This paper cites Routing to the expert: Efficient reward-guided ensemble of large language models.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Routing to the expert: Efficient reward-guided ensemble of large language models

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:46:45.251573Z

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.

source=pdf_text observed=2026-08-11T21:46:44.815106Z digest=sha256:b454f9a51467d9c25703c60c997d46b28e02f5d34e8f927839688b08afda2e69

Observation f41923c6-2218-4dd0-984c-fe7463656aa5 · outbound

This paper cites Introducing meta llama 3: The most capable openly available llm to date.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Introducing meta llama 3: The most capable openly available llm to date

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:46:45.240324Z

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.

source=pdf_text observed=2026-08-11T21:46:44.818575Z digest=sha256:7f761b7bf87e84c1a61656c7ee0e34caf602f1034b3ca629674bf1a850dcc5d4

Observation 6aa33964-d805-41ed-b638-dd026f41b1ae · outbound

This paper cites HDMoLE: Mixture of LoRA Experts with Hierarchical Routing and Dynamic Thresholds for Fine-Tuning LLM-based ASR Models.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark HDMoLE: Mixture of LoRA Experts with Hierarchical Routing and Dynamic Thresholds for Fine-Tuning LLM-based ASR Models

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:46:45.032782Z

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.

source=pdf_text observed=2026-08-11T21:46:44.821969Z digest=sha256:61fb85a054813e0d55eb91beaee30c51d7425e7633c20b94ab4fba3a3be09988

Observation 41a0db19-fa56-4907-8bd3-5997f832f642 · outbound

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

Bench-CoE: a Framework for Collaboration of Experts from Benchmark RouteLLM: Learning to Route LLMs with Preference Data

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.826231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.826231Z digest=sha256:57f58281e1435308dcfdb5665fc4733332f61a6f7ca89050f45a22c37d95cd9e

Observation a315f71f-dfda-430d-8508-d388364cc913 · outbound

This paper cites Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.829980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.829980Z digest=sha256:182f681ecc3107d3681bde5de843720e776c234394678a827cd93529f850c9b0

Observation fd14d1ac-c238-4def-bfba-e96f2cb59a3b · outbound

This paper cites Rankmean: Module-level importance score for merging fine-tuned llm models.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Rankmean: Module-level importance score for merging fine-tuned llm models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:46:45.228684Z

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.

source=pdf_text observed=2026-08-11T21:46:44.833681Z digest=sha256:a0c5001134a437d7f450cfa9addb4176a14a27c6cdf824428b9e325b22c382e3

Observation 29259c42-0aa6-42b9-8b2c-659fe3e20130 · outbound

This paper cites Language models are unsu- pervised multitask learners.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Language models are unsu- pervised multitask learners

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.836901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.836901Z digest=sha256:d266f49d140684f4d14309cb56518bfed88d7af9ff4feabfe04ef2cc5b36ea62

Observation 1a7c0214-38a8-4cde-b396-646ba00eb926 · outbound

This paper cites SQuAD: 100,000+ questions for machine com- prehension of text.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark SQuAD: 100,000+ questions for machine com- prehension of text

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:46:45.209657Z

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.

source=pdf_text observed=2026-08-11T21:46:44.840114Z digest=sha256:2e5c30cb775a6f2c7f6426cf6e616c84315d5ff6b528ea4687f311f4c111f188

Observation ec9e755d-e1d5-4068-9cdc-59815756c83e · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Winogrande: An adversarial winograd schema challenge at scale

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:46:45.197741Z

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.

source=pdf_text observed=2026-08-11T21:46:44.843481Z digest=sha256:3079298ff1743f0dfe681b87f53483d0b4e45728c70276d970d739a7818b74c8

Observation 3a97c8e0-0473-4082-9ea9-96e08e198a90 · outbound

This paper cites TensorOpera Router: A Multi-Model Router for Efficient LLM Inference.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark TensorOpera Router: A Multi-Model Router for Efficient LLM Inference

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.846975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.846975Z digest=sha256:2e609d84c24b1c9adc60b6631891681583e3abc31ad93fc8fa21cb4cb976196a

Observation a3c81caf-89ea-482c-97ed-689392b2d579 · outbound

This paper cites Le, Ed H.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Le, Ed H

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:46:45.185478Z

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.

source=pdf_text observed=2026-08-11T21:46:44.850625Z digest=sha256:da06fcfce82354d84bee72e725491d359b5c95538f35859f01d39e07288962f5

Observation 399cd99d-6be9-48ef-92b2-9ed814f2e2fe · outbound

This paper cites an unresolved cited work.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:46:45.173455Z

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.

source=pdf_text observed=2026-08-11T21:46:44.854630Z digest=sha256:a923908d4f6303ae1f794b59be38e3634786e8b82ef41adb87d4956305203660

Observation 36b8d2d7-9556-4a33-b427-44d88b0474f0 · outbound

This paper cites Tjong Kim Sang.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Tjong Kim Sang

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:46:45.161999Z

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.

source=pdf_text observed=2026-08-11T21:46:44.858400Z digest=sha256:afcf2f6773ef775b7f2ffb9e32c9205069787766665ae35a328b51dd75f9aeb1

Observation 38456d1a-12ca-4197-a291-ee410a2bae07 · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.861907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.861907Z digest=sha256:17bce62f6d0f67989a8a72476a7f5652ac57dde9e3a2fb23caf10c1f0d9507d7

Observation f86ffcba-3f6b-486e-be45-73dce2e63e93 · outbound

This paper cites Qwen2 Technical Report.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Qwen2 Technical Report

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.865516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.865516Z digest=sha256:c435d51925a1614967be2cdfb4e1597a666ea6219a9127aab6f7aafded8c448c

Observation 987caa89-a5c2-4399-91cd-3bbe6a0ad824 · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.869470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.869470Z digest=sha256:4814edb4528a62effc3f828d5b8a6d2921f90d77b4da35341d5343f90e81bb04

Observation 74bd5c2b-7e7d-4e48-b582-7067b30e6cd3 · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Yi: Open Foundation Models by 01.AI

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.873313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.873313Z digest=sha256:ac1fe1c33913ae11ac9bdc7c217966d7969fdb66563412f6781241581a30ff9a

Observation b754e5ea-9380-4257-ae67-2b91b05cd8df · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for ex- pert agi.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for ex- pert agi

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:46:45.150709Z

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.

source=pdf_text observed=2026-08-11T21:46:44.876975Z digest=sha256:78fc9d7a96f94df5a845017657000f3dd7501b367575e3b73079e8951e7a9ca1

Observation 4ca1c7e7-eb2c-4a20-bfb9-f79dcbb931e5 · outbound

This paper cites VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.880206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.880206Z digest=sha256:0fe51d3f4525cf2f9157c3b08eea8f595c882582ce9d8ee9c1c6f3af1a6a7451

Observation 92e29c45-89ae-4a8b-ae0d-984f0edb2b70 · outbound

This paper cites Eagle: Efficient Training-Free Router for Multi-LLM Inference.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Eagle: Efficient Training-Free Router for Multi-LLM Inference

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T21:46:44.883992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:46:44.883992Z digest=sha256:26a7a43e7224c83b21a442ced69ab91f5c55d284d5af098acf29bfd3fd2bdd05

Observation 33e25254-ac92-4551-873e-4199fc70a3b3 · outbound

This paper cites Minigpt-4: Enhancing vision-language understanding with advanced large language models.

Bench-CoE: a Framework for Collaboration of Experts from Benchmark Minigpt-4: Enhancing vision-language understanding with advanced large language models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:46:45.139155Z

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.

source=pdf_text observed=2026-08-11T21:46:44.887481Z digest=sha256:69b18d58253f275c4d7b292fc635ecaa53b2f5585ce46362c07d6b4dab7a8908

Pith citing papers

Observation bda5256c-2560-4ab1-871a-59c8ccb574ed · inbound

Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems cites this paper.

Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems Bench-CoE: a Framework for Collaboration of Experts from Benchmark

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-09T19:10:53.895829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:10:53.895829Z digest=sha256:e1b9116cf87e018434504dba11bdd98a1fb2b16b864f6cbe750fefe25b4fbb00

Observation 6dedef51-0fbf-4685-a435-0cbb76324400 · inbound

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble cites this paper.

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble Bench-CoE: a Framework for Collaboration of Experts from Benchmark

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:25:19.649790Z

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.

source=pdf_text observed=2026-05-23T02:22:28.649071Z digest=sha256:7748fd95434c1d6ff0f38c3848d7a7d32dabca730b3a20909b069b707c370314

Observation ea4f1e90-ebd5-4db5-b0ca-220d192361e8 · inbound

DLLG: Dynamic Logit-Level Gating of LLM Experts cites this paper.

DLLG: Dynamic Logit-Level Gating of LLM Experts Bench-CoE: a Framework for Collaboration of Experts from Benchmark

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:36:45.094204Z

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.

source=arxiv_source observed=2026-06-28T06:50:32.988192Z digest=sha256:19b08c8dfc4f03187df9470ff3f913aafb12a305e8bd9e98c49b16fdc82409ec