Paper Citation Record · LEDGER

Interpreting CFD Surrogates through Sparse Autoencoders

As of 18 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2507.16069.

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

pith.paper-citation-record.v1
2507.16069 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:23:47.775421Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T12:04:11.145829Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:04:38.618679Z

Reference resolution

21 of 21 outbound references displayed

verified exact1
verified fuzzy8
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57881bfd-56d2-4869-867d-53a5e9c58e0d · outbound

This paper cites Data-Driven Insights into Jet Turbulence: Explainable AI Approaches.

Interpreting CFD Surrogates through Sparse Autoencoders Data-Driven Insights into Jet Turbulence: Explainable AI Approaches

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:23:48.512626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f5b1c08f-59e9-4a98-a36a-f00849e83316 · outbound

This paper cites Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2.

Interpreting CFD Surrogates through Sparse Autoencoders Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:46.349160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e00009e3-e227-4730-a14a-edd614a6b061 · outbound

This paper cites Scaling and evaluating sparse autoencoders.

Interpreting CFD Surrogates through Sparse Autoencoders Scaling and evaluating sparse autoencoders

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:45.821965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0403544-6f9f-477d-bbc9-9896e22b9bdd · outbound

This paper cites Comparative study of machine learning tech- niques for post-combustion carbon capture systems.

Interpreting CFD Surrogates through Sparse Autoencoders Comparative study of machine learning tech- niques for post-combustion carbon capture systems

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:49.901604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ccf546f5-1c1a-4ada-91c5-d6e97bfc88c7 · outbound

This paper cites Gemma scope: Open sparse autoencoders everywhere all at once on gemma.

Interpreting CFD Surrogates through Sparse Autoencoders Gemma scope: Open sparse autoencoders everywhere all at once on gemma

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:49.614157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f1ae8c9a-c9de-4427-8de0-18d387e52a35 · outbound

This paper cites k-Sparse Autoencoders.

Interpreting CFD Surrogates through Sparse Autoencoders k-Sparse Autoencoders

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:46.517027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c56b527-684e-4069-a7f4-e46d4a389ba9 · outbound

This paper cites Enhancing Neural Network Interpretability with Feature-Aligned Sparse Autoencoders.

Interpreting CFD Surrogates through Sparse Autoencoders Enhancing Neural Network Interpretability with Feature-Aligned Sparse Autoencoders

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:46.675097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67dc88a4-40f8-4a7c-bfc1-6cc783731c2a · outbound

This paper cites Efficient Dictionary Learning with Switch Sparse Autoencoders.

Interpreting CFD Surrogates through Sparse Autoencoders Efficient Dictionary Learning with Switch Sparse Autoencoders

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:46.801420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 538dbc4a-fc30-4fe4-a7bd-c2cf9061508b · outbound

This paper cites Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models.

Interpreting CFD Surrogates through Sparse Autoencoders Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:46.913737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b8e9930-4b14-4e2b-948f-e683d8a1b34a · outbound

This paper cites Uncertainty quantification and polynomial chaos techniques in computational fluid dy- namics.

Interpreting CFD Surrogates through Sparse Autoencoders Uncertainty quantification and polynomial chaos techniques in computational fluid dy- namics

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:49.389539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0389f5bd-598f-4b01-b849-47e4c4b27771 · outbound

This paper cites Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders.

Interpreting CFD Surrogates through Sparse Autoencoders Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:47.354934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation feeeb6f5-635c-4ba7-b80c-f7277e65a10c · outbound

This paper cites Sparse autoencoders for scien- tifically rigorous interpretation of vision models.

Interpreting CFD Surrogates through Sparse Autoencoders Sparse autoencoders for scien- tifically rigorous interpretation of vision models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:47.454821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6194f480-8a0d-40c5-9c4b-57351fa26d14 · outbound

This paper cites Universal sparse autoencoders: Interpretable cross-model concept alignment.

Interpreting CFD Surrogates through Sparse Autoencoders Universal sparse autoencoders: Interpretable cross-model concept alignment

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:47.560621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f413f1ed-a5e5-4b8b-aa21-d8996b83e365 · outbound

This paper cites Artificial intelligence explainability requirements of the ai act and metrics for measuring compliance.

Interpreting CFD Surrogates through Sparse Autoencoders Artificial intelligence explainability requirements of the ai act and metrics for measuring compliance

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:48.980090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 10e635ba-81aa-4ece-9f86-8f8ad7267803 · outbound

This paper cites An explainable deep learning model based on hydrological principles for flood simulation and forecasting.

Interpreting CFD Surrogates through Sparse Autoencoders An explainable deep learning model based on hydrological principles for flood simulation and forecasting

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:48.759604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5a40919d-475c-41bc-b50b-cdb5fc7a787c · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

Interpreting CFD Surrogates through Sparse Autoencoders Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 1985

Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:45.709478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0aa3a03-2c0e-421a-bc43-fd81e5f81d5b · outbound

This paper cites Learning mesh- based simulation with graph networks.

Interpreting CFD Surrogates through Sparse Autoencoders Learning mesh- based simulation with graph networks

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:49.223659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 29d0bd5e-6029-42d1-8f44-e1b00915ae9d · outbound

This paper cites Improving Dictionary Learning with Gated Sparse Autoencoders.

Interpreting CFD Surrogates through Sparse Autoencoders Improving Dictionary Learning with Gated Sparse Autoencoders

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:47.245180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0221a095-b8cf-46ad-b645-4472f9087036 · outbound

This paper cites High order accurate vortex methods with explicit velocity kernels.

Interpreting CFD Surrogates through Sparse Autoencoders High order accurate vortex methods with explicit velocity kernels

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:50.359232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 32b88a1d-289c-42f8-b82f-c46eb32d4f08 · outbound

This paper cites Graph learning in physical-informed mesh-reduced space for real-world dynamic systems.

Interpreting CFD Surrogates through Sparse Autoencoders Graph learning in physical-informed mesh-reduced space for real-world dynamic systems

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:23:50.171244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3e7dde12-61d9-4763-9251-3517c1a41dd2 · outbound

This paper cites Interpretable A-posteriori Error Indication for Graph Neural Network Surrogate Models.

Interpreting CFD Surrogates through Sparse Autoencoders Interpretable A-posteriori Error Indication for Graph Neural Network Surrogate Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:45.445014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 8afef7d8-dea9-467f-b142-934bc14c2686 · inbound

Courant: a State-Adaptive Perceiver-Based Neural Surrogate with Local Support and Interpretable Field Decomposition cites this paper.

Courant: a State-Adaptive Perceiver-Based Neural Surrogate with Local Support and Interpretable Field Decomposition Interpreting CFD Surrogates through Sparse Autoencoders

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:04:38.620261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.