Paper Citation Record · LEDGER

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.08854.

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

pith.paper-citation-record.v1
2507.08854 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:04:18.055891Z

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation 81de9f74-efc4-4c8c-b04b-af5d400a831a · outbound

This paper cites The development of machine learning approaches in two-dimensional nmr data interpretation for metabolomics applications.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation The development of machine learning approaches in two-dimensional nmr data interpretation for metabolomics applications

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:25.426251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 88285ad1-393a-47d1-b470-313018a10b44 · outbound

This paper cites Assisting and accelerating nmr assignment with restrained structure prediction.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Assisting and accelerating nmr assignment with restrained structure prediction

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:25.286252Z

Source-reported events for the cited work

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Observation 69f91934-80bc-4ba1-bfe9-2ce881c76cbb · outbound

This paper cites Liquid nuclear magnetic resonance (nmr) spectroscopy in transition—from structure elucidation to multi-analysis method.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Liquid nuclear magnetic resonance (nmr) spectroscopy in transition—from structure elucidation to multi-analysis method

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:25.172795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2d2a87af-9f48-4e7e-99c3-d8e26e62f4ab · outbound

This paper cites Detecting submicromolar analytes in mixtures with a 5 min acquisition on 600 mhz nmr spectrometers.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Detecting submicromolar analytes in mixtures with a 5 min acquisition on 600 mhz nmr spectrometers

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:24.948382Z

Source-reported events for the cited work

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Observation b69280d6-84c6-45f7-96f5-d932dadcc519 · outbound

This paper cites Prediction of 1h nmr coupling constants with associative neural networks trained for chemical shifts.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Prediction of 1h nmr coupling constants with associative neural networks trained for chemical shifts

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:24.714073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b6be72d1-592c-4df8-8b89-4fdbfdf30b27 · outbound

This paper cites Highly accurate prediction of nmr chemical shifts from low-level quantum mechanics calculations using machine learning.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Highly accurate prediction of nmr chemical shifts from low-level quantum mechanics calculations using machine learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:24.489491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 79e6716a-c3be-44dd-967d-2ba34b91ee69 · outbound

This paper cites Ultra-fast and accurate electron ionization mass spectrum matching for compound identification with million-scale in-silico library.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Ultra-fast and accurate electron ionization mass spectrum matching for compound identification with million-scale in-silico library

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:24.272189Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 451a7086-7444-4ddb-89c4-60a1a85ba97a · outbound

This paper cites Computer assisted structure elucidation (case): current and future perspectives.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Computer assisted structure elucidation (case): current and future perspectives

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:23.995570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba40e567-5848-4431-b2f0-6b00607f42fc · outbound

This paper cites Enhancing efficiency of natural product structure revision: leveraging case and dft over total synthesis.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Enhancing efficiency of natural product structure revision: leveraging case and dft over total synthesis

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:23.716123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d8e908c8-c413-435f-a834-b17afab1de3a · outbound

This paper cites Impact of noise on inverse design: the case of nmr spectra matching.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Impact of noise on inverse design: the case of nmr spectra matching

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:23.496060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d2c8ab7e-d4f8-42c6-ab17-61d908c2c306 · outbound

This paper cites Cross-modal retrieval between 13c nmr spectra and structures based on focused libraries.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Cross-modal retrieval between 13c nmr spectra and structures based on focused libraries

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:23.276231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 17345cfc-6591-4898-9e2f-483ed2b4606b · outbound

This paper cites Machine learning-assisted structure annotation of natural products based on ms and nmr data.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Machine learning-assisted structure annotation of natural products based on ms and nmr data

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:23.027672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3b46dc4d-dccb-4bdc-b98c-d251633c7c3e · outbound

This paper cites Nuclear magnetic resonance and artificial intelligence.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Nuclear magnetic resonance and artificial intelligence

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:22.763627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 951dcb07-9a1e-4542-9243-0bd4ad056314 · outbound

This paper cites Deep learning-assisted spectrum–structure correlation: state-of-the-art and perspectives.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Deep learning-assisted spectrum–structure correlation: state-of-the-art and perspectives

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:22.581445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4152c68d-c538-486c-bc7e-39e2373d31bd · outbound

This paper cites A framework for automated structure elucidation from routine nmr spectra.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation A framework for automated structure elucidation from routine nmr spectra

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:22.354482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e5f1dd0-f3cf-4ea4-b9cc-96fc3fdec84a · outbound

This paper cites Reinforcement learning: A survey.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Reinforcement learning: A survey

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:22.072905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bddcd015-fc6f-460c-a879-f1678b3f0bcc · outbound

This paper cites Deep reinforcement learning: A brief survey.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Deep reinforcement learning: A brief survey

Reference 17

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Source-reported events for the cited work

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Observation 4b8fad2f-9f74-43c6-bbd3-b99ef940d0f4 · outbound

This paper cites Deep reinforcement learning for molecular inverse problem of nuclear magnetic resonance spectra to molecular structure.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Deep reinforcement learning for molecular inverse problem of nuclear magnetic resonance spectra to molecular structure

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:21.780728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 295c7607-2820-4d22-84b6-6947b0d0f629 · outbound

This paper cites Deepspinn-multimodal deep learning for molecular structure prediction from infrared and nmr spectra.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Deepspinn-multimodal deep learning for molecular structure prediction from infrared and nmr spectra

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:21.535950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5981a3dc-ef49-46c6-93b7-4f55fb96dd10 · outbound

This paper cites Transformer in transformer.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Transformer in transformer

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:04:15.078708Z

Source-reported events for the cited work

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Observation b5feb688-8fbf-4d93-8964-bd99c347dda3 · outbound

This paper cites Attention is all you need.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Attention is all you need

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T19:04:15.179404Z

Source-reported events for the cited work

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Observation 43f7776e-ed75-4884-8ebd-9bdd6aa244b9 · outbound

This paper cites Accurate and efficient structure elucidation from routine one-dimensional nmr spectra using multitask machine learning.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Accurate and efficient structure elucidation from routine one-dimensional nmr spectra using multitask machine learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:21.284805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 852c3c8a-e4af-4fae-b39c-bfbfe0f249fa · outbound

This paper cites Unraveling molecular structure: A multimodal spectroscopic dataset for chemistry.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Unraveling molecular structure: A multimodal spectroscopic dataset for chemistry

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:21.031502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cac327ec-a957-40d2-bdc4-5b42b29146a4 · outbound

This paper cites Learning the language of nmr: Structure elucidation from nmr spectra using transformer models.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Learning the language of nmr: Structure elucidation from nmr spectra using transformer models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:20.776714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1ac9c19e-4132-4139-98e0-715004cb742b · outbound

This paper cites Deep autoregressive networks.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Deep autoregressive networks

Reference 25

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Source-reported events for the cited work

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Observation 992c6795-9cd3-4d52-9263-0723db0e9a87 · outbound

This paper cites Diffusion-based graph generative methods.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Diffusion-based graph generative methods

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:20.533802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 520fb5fd-59d7-4820-bccc-9c83447d5a2d · outbound

This paper cites Structured denoising diffusion models in discrete state-spaces.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Structured denoising diffusion models in discrete state-spaces

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T19:04:15.902429Z

Source-reported events for the cited work

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Observation a1cd5714-a4a6-4c46-a6d8-cfc091161eca · outbound

This paper cites DiGress: Discrete Denoising diffusion for graph generation.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation DiGress: Discrete Denoising diffusion for graph generation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T19:04:16.038202Z

Source-reported events for the cited work

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Observation 0eaf56ae-b72b-47c2-8e3b-4c8f1ce18f63 · outbound

This paper cites MADGEN: Mass-Spec attends to De Novo Molecular generation.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation MADGEN: Mass-Spec attends to De Novo Molecular generation

Reference 29

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Observation d1a024a8-b342-46a7-83a8-e96b80326970 · outbound

This paper cites Diffusion models in vision: A survey.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Diffusion models in vision: A survey

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:04:16.298329Z

Source-reported events for the cited work

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This paper cites Denoising diffusion probabilistic models.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Denoising diffusion probabilistic models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T19:04:16.410368Z

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Observation bdb31cec-d27f-4d62-a83b-b20898ac960c · outbound

This paper cites Transformer for Graphs: An Overview from Architecture Perspective.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Transformer for Graphs: An Overview from Architecture Perspective

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T19:04:16.518452Z

Source-reported events for the cited work

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Observation 961654a2-a2ea-41e4-b5c9-52e656cbf949 · outbound

This paper cites Heterogeneous graph transformer.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Heterogeneous graph transformer

Reference 33

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Source-reported events for the cited work

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Observation f3f4c029-7858-4252-9c93-d4dbf5ef9d7e · outbound

This paper cites Gnn-film: Graph neural networks with feature-wise linear modulation.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Gnn-film: Graph neural networks with feature-wise linear modulation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:20.237313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 516c1979-c460-451f-b9e5-469c31d7514d · outbound

This paper cites Crossvit: Cross-attention multi-scale vision trans- former for image classification.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Crossvit: Cross-attention multi-scale vision trans- former for image classification

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:19.961610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ac1d2cdb-a3bc-41c4-bd59-8bc4d5e53a99 · outbound

This paper cites Multi-modality cross attention network for image and sentence matching.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Multi-modality cross attention network for image and sentence matching

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:19.707866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8ae14c85-c4e3-4028-aa90-766be2800f5a · outbound

This paper cites Diffusion autoen- coders: Toward a meaningful and decodable representation.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Diffusion autoen- coders: Toward a meaningful and decodable representation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:19.453568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c6923a43-481b-4f78-b783-4bc366882b8f · outbound

This paper cites Diffusion model as representation learner.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Diffusion model as representation learner

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:19.234589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba6e67ae-ce76-4950-b972-71d4fd87648f · outbound

This paper cites Diffusion Models and Representation Learning: A Survey.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Diffusion Models and Representation Learning: A Survey

Reference 39

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Source-reported events for the cited work

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Observation 8b6e953d-52b8-4807-a164-b7f1a71e397f · outbound

This paper cites Diffusion-Based Representation Learning.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Diffusion-Based Representation Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T19:04:17.592186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 894c0f08-01bb-41f2-9440-c10d219c393a · outbound

This paper cites Graph contrastive learning with augmentations.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Graph contrastive learning with augmentations

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T19:04:17.692921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c978508e-cd83-4538-a898-2a19d98837f1 · outbound

This paper cites Contrastive representation learning: A framework and review.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Contrastive representation learning: A framework and review

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:18.931442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fe17fa04-8cc3-435d-8f78-00f5fdd50842 · outbound

This paper cites Cross-modal retrieval between 13c nmr spectra and structures for compound identification using deep contrastive learning.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation Cross-modal retrieval between 13c nmr spectra and structures for compound identification using deep contrastive learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:18.634273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ac6f99d3-275b-454c-b8a4-222d710bc3ca · outbound

This paper cites The generation of a unique machine description for chemical structures-a technique developed at chemical abstracts service.

DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidation The generation of a unique machine description for chemical structures-a technique developed at chemical abstracts service

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:04:18.395678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.