Paper Citation Record · LEDGER

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion

As of 11 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2412.19510.

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

pith.paper-citation-record.v1
2412.19510 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:20:11.133170Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

23 of 23 outbound references displayed

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verified fuzzy10
unresolved12
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 131a485c-58e7-435d-960e-2a1fc77baed6 · outbound

This paper cites An overview of full-waveform inversion in exploration geophysics,.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion An overview of full-waveform inversion in exploration geophysics,

Reference 1

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Observation 01979d87-c5dd-4eed-aab1-535d5999c670 · outbound

This paper cites An introduction to full waveform inversion,.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion An introduction to full waveform inversion,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:20:11.468636Z

Source-reported events for the cited work

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Observation 9a0a72de-68ee-4904-aa95-f0a467524f86 · outbound

This paper cites Openfwi: Large-scale multi-structural benchmark datasets for full waveform inversion,.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion Openfwi: Large-scale multi-structural benchmark datasets for full waveform inversion,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:20:11.453554Z

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Observation 7757adbe-fb3b-4df9-96d7-67e21bd2d0ce · outbound

This paper cites Deep-learning tomography,.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion Deep-learning tomography,

Reference 4

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Source-reported events for the cited work

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Observation f7cbbba9-fcdd-4e74-a21c-c6258e893d91 · outbound

This paper cites Inversionnet: An efficient and accurate data-driven full waveform inversion,.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion Inversionnet: An efficient and accurate data-driven full waveform inversion,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:20:11.428470Z

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Observation b7d704da-6a4e-4cef-86c9-a67db97e039e · outbound

This paper cites A theory- guided deep-learning formulation and optimization of seismic waveform inversion,.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion A theory- guided deep-learning formulation and optimization of seismic waveform inversion,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:20:11.411560Z

Source-reported events for the cited work

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Observation 976af9e8-dfa4-440e-8d53-a493398213db · outbound

This paper cites Physics-guided deep learning for seismic inversion with hybrid training and uncertainty analysis,.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion Physics-guided deep learning for seismic inversion with hybrid training and uncertainty analysis,

Reference 7

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Observation 8ab28240-4e90-44d6-bb3c-bf996344ce54 · outbound

This paper cites Data-driven seismic waveform inversion: A study on the robustness and generalization,.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion Data-driven seismic waveform inversion: A study on the robustness and generalization,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T00:20:11.063194Z

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Observation e1d09849-9931-4437-aa5a-5186e1844747 · outbound

This paper cites Generalization capability of data- driven deep learning models for seismic full-waveform inversion: An example using the openfwi dataset,.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion Generalization capability of data- driven deep learning models for seismic full-waveform inversion: An example using the openfwi dataset,

Reference 9

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Observation c888250c-0e49-49ac-ad83-62a5a07df9f4 · outbound

This paper cites Learned full waveform inversion incorporating task information for ultrasound computed tomography,.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion Learned full waveform inversion incorporating task information for ultrasound computed tomography,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:20:11.362588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 602eebfa-cafd-4d84-a37b-340829785746 · outbound

This paper cites Improving the generalization of segmentation foundation model under distribution shift via weakly supervised adaptation,.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion Improving the generalization of segmentation foundation model under distribution shift via weakly supervised adaptation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:20:11.347322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ef7f2206-b570-420b-83be-a38a95af6f11 · outbound

This paper cites A deep dive into single-cell rna sequencing foundation models,.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion A deep dive into single-cell rna sequencing foundation models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:20:11.331476Z

Source-reported events for the cited work

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Observation 608ab870-4e16-446f-a9ea-7ee519f0afea · outbound

This paper cites Seismic Foundation Model (SFM): a new generation deep learning model in geophysics.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion Seismic Foundation Model (SFM): a new generation deep learning model in geophysics

Reference 13

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Observation 74815323-62c5-44f8-bad3-c37bd00c5f77 · outbound

This paper cites Parameter-efficient fine-tuning of large- scale pre-trained language models,.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion Parameter-efficient fine-tuning of large- scale pre-trained language models,

Reference 14

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Observation 89cb7d3d-3ecf-478a-95b6-622608abf3f5 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion LoRA: Low-Rank Adaptation of Large Language Models

Reference 15

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Observation db251160-21ec-406f-8181-8952979876ae · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 16

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Observation 0e1f8a46-2d11-4963-aa6d-26b225f1e762 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion On the Opportunities and Risks of Foundation Models

Reference 17

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Observation e01bd50c-dab7-40b9-a1f1-af9e86befad2 · outbound

This paper cites Scaling instruction-finetuned language models,.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion Scaling instruction-finetuned language models,

Reference 18

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Observation 1002c1ec-9540-4b30-ad77-4ef65af7a972 · outbound

This paper cites Image complexity and spatial information,.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion Image complexity and spatial information,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:20:11.295625Z

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Observation 791fc81e-9344-43cc-bece-556d95f9c6a5 · outbound

This paper cites PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation

Reference 20

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Source-reported events for the cited work

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Observation c101268c-b587-4cb3-a9fd-2953ace50fc2 · outbound

This paper cites The Impact of Initialization on LoRA Finetuning Dynamics.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion The Impact of Initialization on LoRA Finetuning Dynamics

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T00:20:11.124602Z

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Observation 154d551d-4e0c-423d-980b-91729325c64a · outbound

This paper cites Platypus: Quick, Cheap, and Powerful Refinement of LLMs.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T00:20:11.128946Z

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Observation 01526079-9853-4dd5-a393-70578f23d7a8 · outbound

This paper cites Fourier-deeponet: Fourier- enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness,.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion Fourier-deeponet: Fourier- enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:20:11.282009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.