Paper Citation Record · LEDGER

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs

As of 23 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2507.19525.

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

pith.paper-citation-record.v1
2507.19525 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:51:17.233907Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T10:05:29.093803Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T10:07:43.266061Z

Reference resolution

54 of 54 outbound references displayed

verified exact4
verified fuzzy17
unresolved33
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a419aeb3-04f8-4616-8ac4-741362428b3c · outbound

This paper cites ChipNeMo: Domain-Adapted LLMs for Chip Design.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs ChipNeMo: Domain-Adapted LLMs for Chip Design

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:16.912733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 109b7cfc-d319-40ae-8bf0-d11fa5b1fcaa · outbound

This paper cites SemiKong: Curating, Training, and Evaluating A Semiconductor Industry-Specific Large Language Model.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs SemiKong: Curating, Training, and Evaluating A Semiconductor Industry-Specific Large Language Model

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:51:17.895784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 08ade2e4-3b06-4b60-9559-4002daf21789 · outbound

This paper cites Openllm-rtl: Open dataset and benchmark for llm-aided design rtl generation,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Openllm-rtl: Open dataset and benchmark for llm-aided design rtl generation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:18.221774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3cac6b90-f9e0-49a8-b66e-d70dcd92e8d5 · outbound

This paper cites Rtllm: An open-source benchmark for design rtl generation with large language model,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Rtllm: An open-source benchmark for design rtl generation with large language model,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:18.205192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 128a57b8-370b-439e-816d-287ba2eb020c · outbound

This paper cites Autobench: Automatic testbench generation and evaluation using llms for hdl design,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Autobench: Automatic testbench generation and evaluation using llms for hdl design,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:18.189676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5497fd4a-983a-4cd8-958f-1edcd8df0bcf · outbound

This paper cites Verilogeval: Evaluating large language models for verilog code generation,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Verilogeval: Evaluating large language models for verilog code generation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:18.173671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 578eb82d-8759-41f0-9146-e68449726ef0 · outbound

This paper cites DeepCircuitX: A Comprehensive Repository-Level Dataset for RTL Code Understanding, Generation, and PPA Analysis.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs DeepCircuitX: A Comprehensive Repository-Level Dataset for RTL Code Understanding, Generation, and PPA Analysis

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:16.952647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d446026a-cc98-40e6-a88a-01818d6d4fd5 · outbound

This paper cites EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:51:17.857997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation addf7d73-a50b-4111-be2a-a180c18ebd65 · outbound

This paper cites Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QA.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QA

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:16.964368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 844bcb60-1ed6-4c4c-83d8-e874fe94597c · outbound

This paper cites The Dawn of AI-Native EDA: Opportunities and Challenges of Large Circuit Models.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs The Dawn of AI-Native EDA: Opportunities and Challenges of Large Circuit Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:16.969771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25ed9432-ebe7-4fb9-8cd6-b3bc9c2ea2ae · outbound

This paper cites Deepgate: Learning neural representations of logic gates,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Deepgate: Learning neural representations of logic gates,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:18.158615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 15de77ff-e2be-4554-9368-f4a9344a48fd · outbound

This paper cites Deepgate2: Functionality-aware circuit representation learning,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Deepgate2: Functionality-aware circuit representation learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:18.143095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee7fdac5-75a8-4a96-8dbf-e3dde19240ac · outbound

This paper cites DeepGate3: Towards Scalable Circuit Representation Learning.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs DeepGate3: Towards Scalable Circuit Representation Learning

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:51:17.805475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bf6167ff-96be-4d75-88cb-07bd972987c8 · outbound

This paper cites DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:51:17.782618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2ee24dd8-da72-4218-9edd-eb7b6fbc3eb1 · outbound

This paper cites AutoChip: Automating HDL Generation Using LLM Feedback.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs AutoChip: Automating HDL Generation Using LLM Feedback

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.000553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e524bd91-5f36-4e73-87b7-b743cb198362 · outbound

This paper cites Rtl- coder: Fully open-source and efficient llm-assisted rtl code generation technique,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Rtl- coder: Fully open-source and efficient llm-assisted rtl code generation technique,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.006595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5e31a20-df2e-4bc7-9ef5-9037bb65b86f · outbound

This paper cites Verigen: A large language model for verilog code generation,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Verigen: A large language model for verilog code generation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:18.116952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 75256a78-6bea-4ff5-80ec-014340228ea8 · outbound

This paper cites AmpAgent: An LLM-based Multi-Agent System for Multi-stage Amplifier Schematic Design from Literature for Process and Performance Porting.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs AmpAgent: An LLM-based Multi-Agent System for Multi-stage Amplifier Schematic Design from Literature for Process and Performance Porting

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.017168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72fe7c05-57aa-4060-bee7-0823bcd74789 · outbound

This paper cites Chateda: A large language model powered autonomous agent for eda,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Chateda: A large language model powered autonomous agent for eda,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.024063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81083eca-4fa3-4f1f-a900-fa7b8b6b9c81 · outbound

This paper cites Openroad: Toward a self-driving, open-source digital layout implementation tool chain,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Openroad: Toward a self-driving, open-source digital layout implementation tool chain,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:18.085480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 094d4aef-15c0-42ba-8820-73b181ffd74c · outbound

This paper cites Chipgpt: How far are we from natural language hardware design,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Chipgpt: How far are we from natural language hardware design,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.039330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ead691cd-84ac-4ba2-846e-7795243e2fb8 · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.045621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71178a86-0847-4ee5-84d2-c5027c0159b3 · outbound

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

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:18.070119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1dfc5907-444a-4fd8-9e26-a0bc3e54681d · outbound

This paper cites Mm- bench: Is your multi-modal model an all-around player?.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Mm- bench: Is your multi-modal model an all-around player?

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:18.055455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bb92531a-a3e9-4e0f-a306-8f795430904c · outbound

This paper cites ChipExpert: The Open-Source Integrated-Circuit-Design-Specific Large Language Model.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs ChipExpert: The Open-Source Integrated-Circuit-Design-Specific Large Language Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.063404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbc7941f-5ab6-42c1-8c04-c5911f47f3e2 · outbound

This paper cites GPT-4 Technical Report.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs GPT-4 Technical Report

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.069313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f2a9dc3-c3c6-42fa-abe0-7d28c7d65373 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:18.040918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ab6d3375-d6ab-48a0-8b36-dc6dce52fc13 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.093914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b609da0-9d61-4d75-be1e-dabb843144db · outbound

This paper cites InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.099887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1ebf3e1-1969-457d-8fb5-c122916c0aab · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:18.026078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 729b1d09-85f8-46d2-812c-64754912dbbd · outbound

This paper cites Instructblip: Towards general-purpose vision- language models with instruction tuning,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Instructblip: Towards general-purpose vision- language models with instruction tuning,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.111470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3db087b0-fa50-4033-9d16-ecdf5aaf34a0 · outbound

This paper cites Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:18.000768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 24fa938f-bb6b-47b4-bb43-dd678a955ea0 · outbound

This paper cites The Llama 3 Herd of Models.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs The Llama 3 Herd of Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.121764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6c0f823-15fa-49da-a62a-7b3c0a3a9398 · outbound

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

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.128128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a2bb5f9-0d34-4f23-bcf0-7ebf6215c6b6 · outbound

This paper cites Yi: Open foundation models by 01.ai,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Yi: Open foundation models by 01.ai,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:17.985303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cb79e9a6-4927-43e7-a8af-8f321bd31445 · outbound

This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.139099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 731c1bb5-9582-4676-b119-93fabf117ea5 · outbound

This paper cites GPT-4o System Card.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs GPT-4o System Card

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.143992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bf026fa-d614-4338-bdd4-9ba4f8da7982 · outbound

This paper cites Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.148602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a27ef1f9-599c-4706-abc2-9c6205d59228 · outbound

This paper cites Training language models to follow instructions with human feedback,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Training language models to follow instructions with human feedback,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:17.969783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3ad89559-04f8-4e8a-ade6-47f2d293a4e5 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.159030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87cb3f12-4f8c-4c7e-9cf9-79080eba7608 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.164744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18563847-c589-408f-8929-13531c10b2fb · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.169647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be387cce-c2e0-495a-b380-dec5915f6754 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.174974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb7b6998-2552-42ad-8b06-cd08ecb5e814 · outbound

This paper cites Qwen2 Technical Report.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Qwen2 Technical Report

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.180690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 011286e8-6a12-4703-b35b-f0bc1f4b1f53 · outbound

This paper cites Internlm: A multilingual language model with progressively enhanced capabilities,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Internlm: A multilingual language model with progressively enhanced capabilities,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.186161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4c04907-5961-4cb7-a091-8752e214aba7 · outbound

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

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.190937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71d40203-d16b-431c-b640-effd35a3e47d · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.196765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebc3817a-2c46-4dff-a0d0-8969f3d56eb1 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.202392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 702586f6-6497-4a16-9149-023e470f0276 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Gemini: A Family of Highly Capable Multimodal Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.207829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7d00419-4ff1-4299-92f8-df8e1db749c0 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.212642Z

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Observation c33732ac-dd29-46ce-9cc9-3da01af18351 · outbound

This paper cites Introducing the next generation of claude,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Introducing the next generation of claude,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:17.944409Z

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Observation 822042b0-c8c7-4988-a374-0d966cd12b94 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.223412Z

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Observation 830ec5db-bf2b-411e-9fdf-e356b33cb029 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:17.229216Z

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Observation 037edc80-35b4-44b7-93e8-294d2f01ee1e · outbound

This paper cites Language models are few-shot learners,.

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs Language models are few-shot learners,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:51:17.929488Z

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Pith citing papers

Observation bc087c9e-bd8a-4f97-b410-0ea88f022682 · inbound

CircuChain: Disentangling Competence and Compliance in LLM Circuit Analysis cites this paper.

CircuChain: Disentangling Competence and Compliance in LLM Circuit Analysis MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:07:43.268039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.