Paper Citation Record · LEDGER

Benchmark Everything Everywhere All at Once

As of 19 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 2 inbound Pith citation observations for arXiv:2606.06462.

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

pith.paper-citation-record.v1
2606.06462 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T01:03:52.964870Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:44:30.868733Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

64 of 64 outbound references displayed

verified exact31
verified fuzzy0
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 245b9b83-5266-42bf-ad68-400d35a68d55 · outbound

This paper cites Synthetic dialogue dataset generation using llm agents.

Benchmark Everything Everywhere All at Once Synthetic dialogue dataset generation using llm agents

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b35417bc-f33f-49ef-a6d3-0349718ddb53 · outbound

This paper cites LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training.

Benchmark Everything Everywhere All at Once LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:46:59.041205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0d72cafd-15e9-42b9-9536-f401aba277c1 · outbound

This paper cites System card: Claude opus 4 and claude sonnet 4.

Benchmark Everything Everywhere All at Once System card: Claude opus 4 and claude sonnet 4

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca964959-c795-4c7a-8c9a-378261b5d8b9 · outbound

This paper cites Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks.

Benchmark Everything Everywhere All at Once Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:46:59.100580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 619d7574-9f7c-4165-8416-b1564b4e6669 · outbound

This paper cites Qwen Technical Report.

Benchmark Everything Everywhere All at Once Qwen Technical Report

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:46:59.105788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9968c45b-c9ef-4ee3-9a70-3dcf01497f2f · outbound

This paper cites Qwen2.5-VL Technical Report.

Benchmark Everything Everywhere All at Once Qwen2.5-VL Technical Report

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:46:59.046343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd87ddf5-a1fe-4f20-9b9b-0fc505c747b9 · outbound

This paper cites Benchagents: Automated benchmark creation with agent interaction.

Benchmark Everything Everywhere All at Once Benchagents: Automated benchmark creation with agent interaction

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.037157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ad58176-15f9-4c22-806d-0f3e7d0d395f · outbound

This paper cites ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate.

Benchmark Everything Everywhere All at Once ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:46:59.063664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f1489bf8-79d0-401b-b41a-8b7177db5e19 · outbound

This paper cites Mllm-as-a-judge: Assessing multimodal llm-as-a- judge with vision-language benchmark.

Benchmark Everything Everywhere All at Once Mllm-as-a-judge: Assessing multimodal llm-as-a- judge with vision-language benchmark

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 768d7b4f-9bec-4cf9-b8b0-a431fe83a748 · outbound

This paper cites Are we on the right way for evaluating large vision-language models?NeurIPS, 2024.

Benchmark Everything Everywhere All at Once Are we on the right way for evaluating large vision-language models?NeurIPS, 2024

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5db47bd7-7218-4732-b59d-ef9a38d09c68 · outbound

This paper cites Can Large Language Models Be an Alternative to Human Evaluations?.

Benchmark Everything Everywhere All at Once Can Large Language Models Be an Alternative to Human Evaluations?

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.078136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 388e95ee-e877-481f-8495-7b254550c651 · outbound

This paper cites Cl-bench: A benchmark for context learning.

Benchmark Everything Everywhere All at Once Cl-bench: A benchmark for context learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.019997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1fd43dfd-dcc5-4ffa-8658-3d91369f039b · outbound

This paper cites On path to multimodal generalist: General-level and general-bench.

Benchmark Everything Everywhere All at Once On path to multimodal generalist: General-level and general-bench

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e701b4a-7098-42e5-ba26-00e5195a9927 · outbound

This paper cites Gptscore: Evaluate as you desire.

Benchmark Everything Everywhere All at Once Gptscore: Evaluate as you desire

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 135ee187-2bb9-4a4b-8dd6-6f2edba2bb89 · outbound

This paper cites Gemini 3 pro model card.

Benchmark Everything Everywhere All at Once Gemini 3 pro model card

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7563fcb-991c-420c-82b9-1ccdefeede39 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Benchmark Everything Everywhere All at Once Measuring Massive Multitask Language Understanding

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:46:59.043591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 633ea2af-0f31-417c-a0b4-4da42887e5f3 · outbound

This paper cites Cerebellar output shapes cortical preparatory activity during motor adaptation.Nature Communications, 2025.

Benchmark Everything Everywhere All at Once Cerebellar output shapes cortical preparatory activity during motor adaptation.Nature Communications, 2025

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbde44d1-873b-4a2a-a320-a89eb2c38689 · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

Benchmark Everything Everywhere All at Once Kimi K2: Open Agentic Intelligence

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:46:59.064881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 37e4bbe7-3d81-4191-ae13-f8c311d235a8 · outbound

This paper cites Dataflow: An llm-driven framework for unified data preparation and workflow automation in the era of data-centric ai.

Benchmark Everything Everywhere All at Once Dataflow: An llm-driven framework for unified data preparation and workflow automation in the era of data-centric ai

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.094802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 669c9553-7c22-4295-b5dd-648e1f15482f · outbound

This paper cites Act as human: Multimodal large language model data annotation with critical thinking.arXiv preprint arXiv:2511.09833, 2025.

Benchmark Everything Everywhere All at Once Act as human: Multimodal large language model data annotation with critical thinking.arXiv preprint arXiv:2511.09833, 2025

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.097773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e30cf7db-2964-49d8-8f2b-d15bb965016c · outbound

This paper cites Agentbench: Evaluating llms as agents.

Benchmark Everything Everywhere All at Once Agentbench: Evaluating llms as agents

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c665b82b-7963-4cfa-a425-243e42b5182d · outbound

This paper cites Mmbench: Is your multi-modal model an all-around player? InECCV, 2024.

Benchmark Everything Everywhere All at Once Mmbench: Is your multi-modal model an all-around player? InECCV, 2024

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b02423a-e7ea-4845-aee9-98e2f7cd37c4 · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

Benchmark Everything Everywhere All at Once MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:46:59.084664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0d5f8588-81d8-460b-a234-dde1141d3f2f · outbound

This paper cites Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena.

Benchmark Everything Everywhere All at Once Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.086653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dbc013b3-4552-496a-a0ed-306f1f7f7d98 · outbound

This paper cites UnitCoder: Scalable Iterative Code Synthesis with Unit Test Guidance.

Benchmark Everything Everywhere All at Once UnitCoder: Scalable Iterative Code Synthesis with Unit Test Guidance

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.040295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ddbe4b47-6817-45c7-bee9-db926870d4ef · outbound

This paper cites MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling.

Benchmark Everything Everywhere All at Once MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:46:59.075462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5d280fe4-9844-4fe7-a8f2-a4d22c845091 · outbound

This paper cites Autonomous Evaluation and Refinement of Digital Agents.

Benchmark Everything Everywhere All at Once Autonomous Evaluation and Refinement of Digital Agents

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.083651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5408104-8e3a-4565-bad1-90e0e568c3b3 · outbound

This paper cites Benchmarkˆ 2: Systematic evaluation of llm benchmarks.arXiv preprint arXiv:2601.03986, 2026.

Benchmark Everything Everywhere All at Once Benchmarkˆ 2: Systematic evaluation of llm benchmarks.arXiv preprint arXiv:2601.03986, 2026

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.066628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c1fc5154-382b-42d9-8cf0-c8e5b7ad21f9 · outbound

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

Benchmark Everything Everywhere All at Once Autobench: Automatic testbench generation and evaluation using llms for hdl design

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a8ce739-6907-4129-aafb-40fbf6c90da8 · outbound

This paper cites Qwen2 Technical Report.

Benchmark Everything Everywhere All at Once Qwen2 Technical Report

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:46:59.087084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2ecb2511-f8e8-4118-95b7-535678e94aa7 · outbound

This paper cites Qwen3.6-Plus: Towards real world agents, April 2026.

Benchmark Everything Everywhere All at Once Qwen3.6-Plus: Towards real world agents, April 2026

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c61b8177-133d-4102-bd6b-e94a801eb13a · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Benchmark Everything Everywhere All at Once GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:46:59.058019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 457f59f2-cb04-48de-b19a-59c3bc8710f2 · outbound

This paper cites Neuronal dynamics of cerebellum and medial prefrontal cortex in adaptive motor timing.Nature Commu- nications, 2025.

Benchmark Everything Everywhere All at Once Neuronal dynamics of cerebellum and medial prefrontal cortex in adaptive motor timing.Nature Commu- nications, 2025

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9217cc7-ee50-47bc-82a2-f9083a7fe733 · outbound

This paper cites TAGAL: Tabular Data Generation using Agentic LLM Methods.

Benchmark Everything Everywhere All at Once TAGAL: Tabular Data Generation using Agentic LLM Methods

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.082147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e9961485-1c81-4be7-86b5-6715f7991c79 · outbound

This paper cites One-eval: An agentic system for automated and traceable llm evaluation.arXiv preprint arXiv:2603.09821, 2026.

Benchmark Everything Everywhere All at Once One-eval: An agentic system for automated and traceable llm evaluation.arXiv preprint arXiv:2603.09821, 2026

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.072630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation af2d7b06-9ba6-4c0c-9441-0e8fef07efd9 · outbound

This paper cites OpenAI GPT-5 System Card.

Benchmark Everything Everywhere All at Once OpenAI GPT-5 System Card

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:46:59.019426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 658fff00-4afe-4123-8d5b-e3a75383f82a · outbound

This paper cites Towards vqa models that can read.

Benchmark Everything Everywhere All at Once Towards vqa models that can read

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 731e3fc0-afdf-4757-9bd1-4ec1b37d7e34 · outbound

This paper cites Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments.

Benchmark Everything Everywhere All at Once Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.077010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9131cd49-9410-49ce-a764-9bd7f6103cf2 · outbound

This paper cites Spacevista: All-scale visual spatial reasoning from mm to km.ICML, 2025.

Benchmark Everything Everywhere All at Once Spacevista: All-scale visual spatial reasoning from mm to km.ICML, 2025

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a90dccf7-b1b2-42ea-95ad-6cb33a07ac0e · outbound

This paper cites RoboOS: A Hierarchical Embodied Framework for Cross-Embodiment and Multi-Agent Collaboration.

Benchmark Everything Everywhere All at Once RoboOS: A Hierarchical Embodied Framework for Cross-Embodiment and Multi-Agent Collaboration

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.100601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3f29bb34-5214-4f29-9e2e-4fe9b0dd9799 · outbound

This paper cites AI-Researcher: Autonomous Scientific Innovation.

Benchmark Everything Everywhere All at Once AI-Researcher: Autonomous Scientific Innovation

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:46:59.103155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 40a447e6-993b-4698-9229-e4f57f43f647 · outbound

This paper cites Qwen3.5: Accelerating productivity with native multimodal agents, February.

Benchmark Everything Everywhere All at Once Qwen3.5: Accelerating productivity with native multimodal agents, February

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a39ce569-e168-4b2a-a9d3-a2f1f5617958 · outbound

This paper cites an unresolved cited work.

Benchmark Everything Everywhere All at Once Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec5913dc-a94b-44d0-b720-99c0414fd1d9 · outbound

This paper cites Mobile-agent-v2: Mobile device operation assistant with effective navigation via multi-agent collaboration.NeurIPS, 2024.

Benchmark Everything Everywhere All at Once Mobile-agent-v2: Mobile device operation assistant with effective navigation via multi-agent collaboration.NeurIPS, 2024

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fdf7826-c3b7-4a84-9710-e209c26340e6 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Benchmark Everything Everywhere All at Once Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:46:59.092119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6443c399-756a-496d-9d80-1cc4671ee353 · outbound

This paper cites InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.

Benchmark Everything Everywhere All at Once InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:46:59.079441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3d55a4d1-7b9f-40b4-9326-73aecf0dd419 · outbound

This paper cites Mmlu-pro: A more robust and challenging multi-task language understanding benchmark.NeurIPS, 2024.

Benchmark Everything Everywhere All at Once Mmlu-pro: A more robust and challenging multi-task language understanding benchmark.NeurIPS, 2024

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36e5be77-918a-42c5-8775-12e586c47bf1 · outbound

This paper cites Finevision: Open data is all you need,.

Benchmark Everything Everywhere All at Once Finevision: Open data is all you need,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c9e453a-0d14-49e1-87ac-baa3d9589898 · outbound

This paper cites FineVision: Open Data Is All You Need.

Benchmark Everything Everywhere All at Once FineVision: Open Data Is All You Need

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:46:59.105452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0254e79d-595d-4b03-ad8b-2fe13bcbb4ad · outbound

This paper cites Language prompt for autonomous driving.

Benchmark Everything Everywhere All at Once Language prompt for autonomous driving

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a568e52c-c097-470b-b9d6-29a1d16ce8af · outbound

This paper cites Qwen3 Technical Report.

Benchmark Everything Everywhere All at Once Qwen3 Technical Report

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:46:59.092402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d6ef1379-6292-4bd3-b045-8d04ff4a8af5 · outbound

This paper cites From Web to Pixels: Bringing Agentic Search into Visual Perception.

Benchmark Everything Everywhere All at Once From Web to Pixels: Bringing Agentic Search into Visual Perception

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:46:59.103114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce0cb930-e299-4436-970d-e04dd1ba1e54 · outbound

This paper cites Swe-agent: Agent-computer interfaces enable automated software engineering.NeurIPS, 2024.

Benchmark Everything Everywhere All at Once Swe-agent: Agent-computer interfaces enable automated software engineering.NeurIPS, 2024

Reference 53

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fc4f0f7-16ad-462b-917e-e9fbe6a1b066 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

Benchmark Everything Everywhere All at Once React: Synergizing reasoning and acting in language models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9edae0f2-f3d7-4a2a-96d1-3fffd218b7ef · outbound

This paper cites Mmmu-pro: A more robust multi-discipline multimodal understanding benchmark.

Benchmark Everything Everywhere All at Once Mmmu-pro: A more robust multi-discipline multimodal understanding benchmark

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8966b782-672b-42b9-8d31-46d2ecd65cd6 · outbound

This paper cites Evaluation agent: Efficient and promptable evaluation framework for visual generative models.

Benchmark Everything Everywhere All at Once Evaluation agent: Efficient and promptable evaluation framework for visual generative models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5d74065-ab02-45f3-8954-d77a1791aeef · outbound

This paper cites Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? InECCV, 2024.

Benchmark Everything Everywhere All at Once Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? InECCV, 2024

Reference 57

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 649636fe-f6c3-4c70-84f5-13dd6d08f569 · outbound

This paper cites Mme-realworld: Could your multimodal llm challenge high-resolution real-world scenarios that are difficult for humans?ICLR, 2025.

Benchmark Everything Everywhere All at Once Mme-realworld: Could your multimodal llm challenge high-resolution real-world scenarios that are difficult for humans?ICLR, 2025

Reference 58

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4110844-b819-4354-a6e6-7c3ffe1e643c · outbound

This paper cites Dual and plasticity-dependent regulation of cerebello-zona incerta circuits on anxiety-like behaviors.Nature communications, 2025.

Benchmark Everything Everywhere All at Once Dual and plasticity-dependent regulation of cerebello-zona incerta circuits on anxiety-like behaviors.Nature communications, 2025

Reference 59

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bb49017-3926-4ed8-9eb3-4492b1769d0e · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.NeurIPS, 2023.

Benchmark Everything Everywhere All at Once Judging llm-as-a-judge with mt-bench and chatbot arena.NeurIPS, 2023

Reference 60

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcce68a2-5c0b-41d5-ad47-c87a8d197f85 · outbound

This paper cites Dyval: Dynamic evaluation of large language models for reasoning tasks.

Benchmark Everything Everywhere All at Once Dyval: Dynamic evaluation of large language models for reasoning tasks

Reference 61

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f81f8836-6be6-4578-9110-59818dba5789 · outbound

This paper cites JudgeLM: Fine-tuned Large Language Models are Scalable Judges.

Benchmark Everything Everywhere All at Once JudgeLM: Fine-tuned Large Language Models are Scalable Judges

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:46:59.089343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 28547017-5184-4f09-8b7d-5e50d4347339 · outbound

This paper cites Q., and Shou, M.

Benchmark Everything Everywhere All at Once Q., and Shou, M

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:46:59.080772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5489fc31-c597-4ff0-9975-edd479e72c4c · outbound

This paper cites at the same time.

Benchmark Everything Everywhere All at Once at the same time

Reference 64

Resolution: unresolved; no resolver link, observed 2026-06-28T01:03:52.964870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e0f61985-60e2-42d7-a880-9f575693589f · inbound

NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs cites this paper.

NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs Benchmark Everything Everywhere All at Once

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T03:19:12.528300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b4e567e-dc86-4d7c-b7da-0460d0f2c561 · inbound

NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs cites this paper.

NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs Benchmark Everything Everywhere All at Once

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T01:44:30.868733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.