Paper Citation Record · LEDGER

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation

As of 21 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2506.02300.

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

pith.paper-citation-record.v1
2506.02300 v3

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:29:21.325711Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

32 of 32 outbound references displayed

verified exact0
verified fuzzy16
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 547a0494-01fc-4bb0-9d2a-6cce32010713 · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Imagenet classification with deep convolutional neural networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:25.065822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 911ffb47-0aaf-4f6f-8acf-f3215bcfeebc · outbound

This paper cites Deep residual learning for image recognition.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Deep residual learning for image recognition

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:18.653965Z

Source-reported events for the cited work

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Observation deaad4cf-9fee-4d0b-82db-8e2b3edabffa · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Towards A Rigorous Science of Interpretable Machine Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:18.862107Z

Source-reported events for the cited work

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Observation d1ee98b4-9786-4605-a040-fca06ec35fcf · outbound

This paper cites Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.Nature Machine Intelligence, 1(5):206–215, 2019.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.Nature Machine Intelligence, 1(5):206–215, 2019

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:18.970594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7167f1d1-4aab-4a57-a42f-d413969bf820 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:19.129498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9e811bd-02d3-4ddc-8974-16f47259910c · outbound

This paper cites Striving for simplicity: The all convolutional net.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Striving for simplicity: The all convolutional net

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:24.872453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e2e7451-06fc-473d-857d-0c5f96b3d7a3 · outbound

This paper cites Smooth- grad: removing noise by adding noise, 2017.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Smooth- grad: removing noise by adding noise, 2017

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:24.723058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c7d275d5-a054-4b50-9b34-860904b5b96e · outbound

This paper cites Axiomatic attribution for deep networks.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Axiomatic attribution for deep networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:19.393068Z

Source-reported events for the cited work

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Observation b25f4f25-8030-49ae-b043-d028e602476d · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:19.448461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a07374c-d214-45dd-8760-cf93d3084d20 · outbound

This paper cites Intriguing properties of neural networks.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Intriguing properties of neural networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:24.522497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b10b6e2-dce2-463f-9677-3719b80146ce · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Explaining and Harnessing Adversarial Examples

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:19.615507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41860aba-802c-48fd-8672-3da22ad98dc1 · outbound

This paper cites Counterfactual explanations without open- ing the black box: Automated decisions and the gdpr.Harvard Journal of Law & Technology, 31(2):841–887, 2018.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Counterfactual explanations without open- ing the black box: Automated decisions and the gdpr.Harvard Journal of Law & Technology, 31(2):841–887, 2018

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:19.749436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78ec32f1-2a04-4ae7-a130-bb4a4c32a79d · outbound

This paper cites Counterfactual visual explanations.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Counterfactual visual explanations

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:24.291872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 31df697b-5ae2-4150-8c16-f26f519838ca · outbound

This paper cites an unresolved cited work.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:29:24.062032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation afad8585-e432-4639-b5c3-1ea151315102 · outbound

This paper cites Freeman and Edward H.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Freeman and Edward H

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:23.871015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 464c10a9-57bf-4ed7-9235-7dc07888340d · outbound

This paper cites Oppenheim and Ronald W.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Oppenheim and Ronald W

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:23.679323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2c1e1d89-8940-438e-a4e8-5a132dbcf00d · outbound

This paper cites The steerable pyramid: A flexible architecture for multi-scale derivative computation.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation The steerable pyramid: A flexible architecture for multi-scale derivative computation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:23.505725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 37d41d91-f7ea-400b-b051-87af7df6a8db · outbound

This paper cites Academic Press, 1999.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Academic Press, 1999

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:20.198260Z

Source-reported events for the cited work

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Observation b1ef6de8-4de5-46d4-a64f-c945d23c08bb · outbound

This paper cites A parametric texture model based on joint statistics of complex wavelet coefficients.International Journal of Computer Vision, 40(1):49–70, 2000.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation A parametric texture model based on joint statistics of complex wavelet coefficients.International Journal of Computer Vision, 40(1):49–70, 2000

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:23.295241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b5fda825-1d7f-44f2-b168-78e9f8fd3da4 · outbound

This paper cites Phase-based video motion processing.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Phase-based video motion processing

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:23.128002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eb15f897-b227-46e7-9b3b-5e20d2eb8fc0 · outbound

This paper cites an unresolved cited work.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:29:22.931961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 26d422f6-8592-407b-9762-73e610a8572f · outbound

This paper cites Feature visualization.Distill, 2(11):e7, 2017.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Feature visualization.Distill, 2(11):e7, 2017

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:20.532969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 526c2f79-92d8-47f0-84bb-fd1160856c7e · outbound

This paper cites Network dissec- tion: Quantifying interpretability of deep visual representations.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Network dissec- tion: Quantifying interpretability of deep visual representations

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:22.750081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6e9b3407-f554-4098-a093-ca7cf9f01eb5 · outbound

This paper cites Interpretation of neural networks is fragile.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Interpretation of neural networks is fragile

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:22.585382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 80e36d09-97e4-4096-bb3d-446bc216a4c6 · outbound

This paper cites an unresolved cited work.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:29:22.414650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 86c11b97-bba6-40c3-a575-3b4e767635c6 · outbound

This paper cites Oppenheim and Jae S.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Oppenheim and Jae S

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:22.239550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ce93993f-4cc0-4d54-8be1-a81d67fb4912 · outbound

This paper cites Computation of component image velocity from local phase information.International Journal of Computer Vision, 5(1):77–104, 1990.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Computation of component image velocity from local phase information.International Journal of Computer Vision, 5(1):77–104, 1990

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:22.071273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f5c53531-7141-4ecc-8326-f21d534a9ab2 · outbound

This paper cites an unresolved cited work.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:29:21.889059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f701dd5b-2afd-476c-8972-d339f21f4c9f · outbound

This paper cites Fleet, Allan D.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Fleet, Allan D

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:21.725330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ef4ee55b-6a3e-4a58-9984-8374a9119707 · outbound

This paper cites Brandwood.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Brandwood

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:29:21.600176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 153109f6-ea26-444f-83e4-aaa58e5e5507 · outbound

This paper cites Gradient-based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278–2324, 1998.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Gradient-based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278–2324, 1998

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:21.240346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d155f4ce-5574-4067-8e8b-a84243900aaa · outbound

This paper cites Challenges in Representation Learning: A report on three machine learning contests.

Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation Challenges in Representation Learning: A report on three machine learning contests

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:21.325711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.