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Paper Citation Record · LEDGER

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy

As of 9 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2602.22971.

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

pith.paper-citation-record.v1
2602.22971 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:36:07.066080Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

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  • unresolved39
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External citation measurements

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Outbound references

Observation b93cd7b7-a8b3-46fc-acd4-9c15cf99b37a · outbound

This paper cites Qwen2.5-VL Technical Report.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Qwen2.5-VL Technical Report

Reference 1

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Observation b4dcd2fb-6552-4c4e-8d32-97a6f8c0c07f · outbound

This paper cites an unresolved cited work.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Unresolved cited work

Reference 2

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Observation 5bdee61c-8ba2-44a6-a99e-3737ee616e4b · outbound

This paper cites an unresolved cited work.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Unresolved cited work

Reference 3

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Observation e722644f-bc16-4322-ac22-4a40cd8a24e2 · outbound

This paper cites PhysicsArena: The First Multimodal Physics Reasoning Benchmark Exploring Variable, Process, and Solution Dimensions.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy PhysicsArena: The First Multimodal Physics Reasoning Benchmark Exploring Variable, Process, and Solution Dimensions

Reference 4

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Observation a9ed11c0-a727-47e8-b9b0-151b9527053e · outbound

This paper cites SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

Reference 5

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Observation 44f79c57-c5e5-4118-8260-109cfd2980b9 · outbound

This paper cites an unresolved cited work.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Unresolved cited work

Reference 6

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Observation 0a4b12d1-cfb6-44a7-9720-fbd6ce1667f4 · outbound

This paper cites HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics

Reference 7

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This paper cites an unresolved cited work.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Unresolved cited work

Reference 8

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Observation bcb0b92a-1bd2-4dde-a7b6-de25db5e9711 · outbound

This paper cites an unresolved cited work.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Unresolved cited work

Reference 9

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Observation c642fb21-1872-4630-9e01-3cd78695b477 · outbound

This paper cites Uniform price auctions with pre-announced revenue targets: Evidence from China's SEOs.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Uniform price auctions with pre-announced revenue targets: Evidence from China's SEOs

Reference 10

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Observation 9553ac3a-bc57-4d9c-a6b8-639ca6ccf701 · outbound

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

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

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Observation b8dcbd05-29aa-456e-a0fa-05bb7fc6ef92 · outbound

This paper cites Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 12

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Observation 7cf8735f-616a-4392-b2af-cadfc9771d67 · outbound

This paper cites an unresolved cited work.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Unresolved cited work

Reference 13

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Observation e3cab88a-a664-48e9-b69e-fbe4191a1cbc · outbound

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SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Unresolved cited work

Reference 14

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Observation 1869e037-e6f9-4501-92b4-9d5e5c255d8c · outbound

This paper cites an unresolved cited work.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Unresolved cited work

Reference 15

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Observation 8728fc90-ac8a-4eab-8b90-3807c3ed36f0 · outbound

This paper cites Language Models (Mostly) Know What They Know.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Language Models (Mostly) Know What They Know

Reference 16

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Observation 2abfdf59-bdb5-452f-b4d4-37cddf0299f3 · outbound

This paper cites an unresolved cited work.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Unresolved cited work

Reference 17

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Observation 42c3cf1f-a0ef-4749-adce-24d26d725e20 · outbound

This paper cites an unresolved cited work.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Unresolved cited work

Reference 18

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Observation 68011b37-55ec-4367-a506-ff6573385c05 · outbound

This paper cites RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Reference 19

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Observation 6b0ddadd-d6b1-4f83-af87-6bb32fb0bef5 · outbound

This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 20

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Observation 2c903030-e23e-4f95-bf68-899534f3a981 · outbound

This paper cites an unresolved cited work.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Unresolved cited work

Reference 21

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Observation 0fbe72ec-4589-49ad-9562-38047b97996c · outbound

This paper cites O’Gorman.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy O’Gorman

Reference 22

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Observation 58ff00c2-1462-4f30-ab0d-8fbe86447e0c · outbound

This paper cites Humanity's Last Exam.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Humanity's Last Exam

Reference 23

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Observation eec9d077-8ef3-4230-b425-b710656a10d7 · outbound

This paper cites Approximate Differential Privacy of the $\ell_2$ Mechanism.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Approximate Differential Privacy of the $\ell_2$ Mechanism

Reference 24

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Observation 63ef16db-1005-4f0a-801b-f1d0d3467d05 · outbound

This paper cites 2025.From Chart to QA Pairs: A Context-A ware Generation Framework for Chart-Containing Documents.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy 2025.From Chart to QA Pairs: A Context-A ware Generation Framework for Chart-Containing Documents

Reference 25

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Observation e4da7aed-b833-48df-9024-865354294996 · outbound

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SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Unresolved cited work

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Observation 13285e2c-d00c-4008-a430-f98533df6adf · outbound

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SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Unresolved cited work

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This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 28

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SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Unresolved cited work

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SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Unresolved cited work

Reference 30

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SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts

Reference 31

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SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Unresolved cited work

Reference 32

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SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models

Reference 33

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SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 34

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SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Unresolved cited work

Reference 35

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Observation 1f80385e-99cf-4a7f-a3bf-78ec598f5fc3 · outbound

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SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy Unresolved cited work

Reference 36

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SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning

Reference 37

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Observation 359f3c9a-3551-43fa-81a9-c2aefd339c6d · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d0910937-4558-4948-90de-e21ad3005511 · outbound

This paper cites AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Reference 39

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Observation 6b79a6d5-589d-4658-992f-86888e6ac4c8 · outbound

This paper cites PhD-level.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy PhD-level

Reference 40

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Observation 719e3fa9-de86-4c55-9829-8602e94955a1 · outbound

This paper cites https://doi.org/ 10.1038/s41598-025-18622-6.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy https://doi.org/ 10.1038/s41598-025-18622-6

Reference 2025

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Pith citing papers

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