Paper Citation Record · LEDGER

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle

As of 5 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2605.17504.

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

pith.paper-citation-record.v1
2605.17504 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-20T13:55:29.094138Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

20 of 20 outbound references displayed

verified exact4
verified fuzzy7
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f3f3c4f2-9530-4bcb-835c-22bda9708eb2 · outbound

This paper cites Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessment.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessment

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:58:20.495110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5804f189-3924-43bc-8d23-1def0dfe31b8 · outbound

This paper cites Advancing LLM Safe Alignment with Safety Representation Ranking.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle Advancing LLM Safe Alignment with Safety Representation Ranking

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:58:20.492100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0adc2f8c-88e6-4f4c-a595-d565949d326d · outbound

This paper cites Toy Models of Superposition.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle Toy Models of Superposition

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T13:58:20.489049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0f3c8e36-15e2-413d-95e8-ca74ee592666 · outbound

This paper cites Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T13:58:20.504353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c6103262-a893-4fe4-80c7-47f4e3dc4a4c · outbound

This paper cites He, Z., Wang, J., Lin, R., Ge, X., Shu, W., Tang, Q., Zhang, J., and Qiu, X.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle He, Z., Wang, J., Lin, R., Ge, X., Shu, W., Tang, Q., Zhang, J., and Qiu, X

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:58:20.500744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dfb98039-fe94-455a-8894-0e60ecf09d96 · outbound

This paper cites URL https://distill.pub/2017/ feature-visualization.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle URL https://distill.pub/2017/ feature-visualization

Reference 6

Resolution: malformed identifier; raw_fallback, observed 2026-05-20T13:58:20.988372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b54bd8e6-b98f-4c67-97e7-65f74ac96826 · outbound

This paper cites 2016, in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 779–788, doi: 10.1109/CVPR.2016.91.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle 2016, in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 779–788, doi: 10.1109/CVPR.2016.91

Reference 7

Resolution: metadata mismatch; doi, observed 2026-05-20T13:58:20.145805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7db50514-6f8c-4a84-b5db-a49e8e13ee80 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle High-Resolution Image Synthesis with Latent Diffusion Models

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T13:58:20.483866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4a77d47e-a387-4a0a-9881-1f708a402dcb · outbound

This paper cites DINOv3.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle DINOv3

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T13:58:20.497796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fc3c17e4-eb6f-48f4-b088-b41e8ad702fc · outbound

This paper cites Understanding Neural Networks Through Deep Visualization.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle Understanding Neural Networks Through Deep Visualization

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-20T13:58:20.486625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0af55b09-098e-48d6-96f1-bb6bdd103093 · outbound

This paper cites Related Work A.1.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle Related Work A.1

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T13:58:20.982558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f534cce8-f73a-48bb-a2af-682c0e95d9ed · outbound

This paper cites To move beyond attribution, concept-based methods (Poeta et al., 2023; Kim et al.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle To move beyond attribution, concept-based methods (Poeta et al., 2023; Kim et al

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T13:58:20.984409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1b2a0c62-e408-4cad-a77c-8ef7636fb182 · outbound

This paper cites an unresolved cited work.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-20T13:58:20.986296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e716dad3-4cf4-4ea2-b80f-6dbe9ee59bbb · outbound

This paper cites Under the LRH, we can learn this polysemantic concepts through the dictionary learning methods.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle Under the LRH, we can learn this polysemantic concepts through the dictionary learning methods

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:21.640817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9825766a-8b55-41f5-a928-5d42651abc30 · outbound

This paper cites The vast image distribution may contain “fooling” inputs that excite the internal units without resembling natural images (Pennisi et al., 2025).

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle The vast image distribution may contain “fooling” inputs that excite the internal units without resembling natural images (Pennisi et al., 2025)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:21.643935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 17d61f2f-5a12-4223-8422-b97b6087bad3 · outbound

This paper cites These methods rely on prompt-guided diffusion models to obtain the natural image prior, but this process from image to prompt inevitably results in information loss.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle These methods rely on prompt-guided diffusion models to obtain the natural image prior, but this process from image to prompt inevitably results in information loss

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:21.652740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 36e3be92-89aa-4d71-8996-dd676b7d9d74 · outbound

This paper cites The Detailed Formulation of SAE We first restate the sparse autoencoder (SAE) formulation, which serves as the base model throughout this paper.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle The Detailed Formulation of SAE We first restate the sparse autoencoder (SAE) formulation, which serves as the base model throughout this paper

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:21.655803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c07e286d-1bb6-497e-b016-72642f195ddf · outbound

This paper cites an unresolved cited work.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-05-20T14:03:21.649692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 97581180-f4f5-49ed-a075-dcc734fff6f8 · outbound

This paper cites an unresolved cited work.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-20T13:58:20.990692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2baccf70-1bd0-47ca-a07d-665daa50a49a · outbound

This paper cites We sample 1,000,000images from ImageNet-1K, resized to256×256.

A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle We sample 1,000,000images from ImageNet-1K, resized to256×256

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T14:03:21.646804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.