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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:46:44.750797Z digest=sha256:059742695441802d3628df78b0f4ce0554df68fbc9f2747f8d79a1944e134c63

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:46:44.755404Z digest=sha256:9b7243da2b79641f93ca272b7f2d7e7744670be29f93553c14f45d274a2dbe03

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

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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:cb42c485a8ac3dcc4910d4f29a1eed3caa12e9761f47191cc55fa79757f44ba3

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
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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:f82aae90e0d94536ab1b4712020c07643b2d4791658d45fef5bb139ebc545631

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
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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=sha256:95fc29e5edf8686e1e81b41ebc0a0008c72eb53404a57e9c28ffc20bbce4c1ff

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:e50875354a5282b623d1f2670d3669d1c8f945ac504464fb72af85b4e9b37342

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=sha256:0c06bb9a267cd92b62f89ac4c1348b1b70e0ac6c96f41f24f082bb44d7402437

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:46:44.779964Z digest=sha256:df73a7656b8742e892d40a8ba576f0076b0104d89f32ff5083e13fc35435dc06

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:46:44.783430Z digest=sha256:4d06213685d334bacc416c3df6e50e6af9e63fd44ae9a68b018d231801353c7a

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

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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=sha256:37a2343fffc611fdcc4a6bf28e5cc680aca2a4b09da84a05f3f3de2d81c72b16

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

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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=sha256:1b29033b3769ce673bcdbef1c05142b4634354f02f5b9f255fb9c0c4e8166eda

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

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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=sha256:0fb759d4c4ab381e5c8129f5cd5fe4a276b743cecac9be799f05fffa18f9a8a1

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

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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=sha256:34847d785bdbca6ea937ca469d0cf3212a77f4ee6aea112568af475dad5a6a0c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:46:44.801464Z digest=sha256:08fd7cc02b7ad58588ccd4697724e73c91b012de2ab7e3acb1ab405698109960

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=sha256:3d682ea349955721b4db442ffa287caafc2ec3cb9a42c1db10201af681912dbe

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
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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:edea3b34b8482a908aa79e79fc1882423b2ee5c64fe4350b0f2b8bebfba79be1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:46:44.815106Z digest=sha256:b5766deb1cede1f26ed937d3ac2c60273299aee79a4c8eafd905f7603b3308d2

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:46:44.818575Z digest=sha256:2202591973edf8f3d6ec3233a76a371b1df61019fa5921f03453a98d8e835bbe

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:46:44.821969Z digest=sha256:b2db120a53d7426bf446f913342f43a9063ac3d66250d5a80c5aa220a94b1772

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

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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=sha256:289b803738fb0dc24327a56729c4a9fc130f090026a70dfdbbc9af32def6818e

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

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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=sha256:60be09541c4a1ea639749920e08af6fcabd92f9e192e1c0ff3764ba27d0f37d8

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:46:44.833681Z digest=sha256:7025529c20ac47f2f3dfb754cd67e44a6b5f7aa2e479f5cd3fdc8d08f1215465

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

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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:b97f37d5e0b5051ba9f152d3c5322114b8b542d66cb5f4a62d4c54f39d947fa9

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:46:44.840114Z digest=sha256:c5ffcee16a29ac2d81d619137f0dcf1357ddf29108779f47c793f7d7f1ce7b53

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:46:44.843481Z digest=sha256:3bb777787335bff3e121160a959bb14b46ab8e00ae423d27dcd9e92091e4c6aa

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

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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=sha256:6a1f25df4c225ced053a833dd2ff80ccf5dd948802b71dd081086420c7a632bf

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:46:44.850625Z digest=sha256:339f6e21496b14a62e993b2cd7e3f4ff87e002199bdad866ae605d3f76d630b7

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:46:44.854630Z digest=sha256:a88b408b0a88904d58363b8b84540a124bb14be1127d37c7cd78ba1d571d3036

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:46:44.858400Z digest=sha256:e85152cafc41654fa386105fd3c0dee39c88d14350a2cff2ae2a0760ea3bd062

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

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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=sha256:0c4e3929123e04c54da8d401cab981f4321eb0bd588a68b6d23222dbd6d5c84b

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

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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=sha256:3aac332711ab066bb87cc0e66ee34d9d1949154555b9c08a85ac24b61e12c05e

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

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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=sha256:660dc1767834632466183c5c15f2c12b98843c612e2b6df1b9be077efbbef162

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

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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=sha256:301f8669ddbbb6d204855527705fb9b7ef77401ed434dee55f9ef3b922e19345

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:46:44.876975Z digest=sha256:ef9bcf629bdb0f8c348ce3261e42aeca188f917a3e8e354a3dbe91ef789e0916

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:b02a1fa18eaf85f91148a24ffaad7e20f16964e6cab068d4327cc30ea621836e

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=sha256:528a85ce35397a8135c19692f9cab433bf744e50a7eb09540186620805d69c9d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:46:44.887481Z digest=sha256:5bff8e53c09d76e883a12fed067391b4abe71cb7659c2dd665569373bc9816d2

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:f06ebeb60362c6703a1366af73a91e5524e160a0af9bc647c79e10300f0122a3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-23T02:22:28.649071Z digest=sha256:d54723a63b7f23e2e4521ae672f27681a6f2eab363b072874631da77f2c4d919

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-28T06:50:32.988192Z digest=sha256:128e83b540155e2e5c6b0879d1480ace8c6196d0f51aeb85bf8cc5e65c380f72