Paper Citation Record · LEDGER

Sparse autoencoders reveal selective remapping of visual concepts during adaptation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2412.05276.

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

pith.paper-citation-record.v1
2412.05276 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:21:37.955026Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 748fc326-478c-44fb-be3a-2a7c412d98ad · inbound

Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering cites this paper.

Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering Sparse autoencoders reveal selective remapping of visual concepts during adaptation

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:37:15.849512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8642e8ee-5141-4972-a7de-6337b46ff93b · inbound

Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering cites this paper.

Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering Sparse autoencoders reveal selective remapping of visual concepts during adaptation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T11:53:51.897479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef8a2197-cd36-465e-8b9a-e31c28926ad1 · inbound

CytoSAE: Interpretable Cell Embeddings for Hematology cites this paper.

CytoSAE: Interpretable Cell Embeddings for Hematology Sparse autoencoders reveal selective remapping of visual concepts during adaptation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T16:51:53.467652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a621e90-024e-4d3d-8168-5044015a9e5b · inbound

Mammo-SAE: Interpreting Breast Cancer Concept Learning with Sparse Autoencoders cites this paper.

Mammo-SAE: Interpreting Breast Cancer Concept Learning with Sparse Autoencoders Sparse autoencoders reveal selective remapping of visual concepts during adaptation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:41.155619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c606dd38-4e19-407a-8b57-84218ccdd66a · inbound

Learning Encoding-Decoding Direction Pairs to Unveil Concepts of Influence in Deep Vision Networks cites this paper.

Learning Encoding-Decoding Direction Pairs to Unveil Concepts of Influence in Deep Vision Networks Sparse autoencoders reveal selective remapping of visual concepts during adaptation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:39.373139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2411191b-5b74-42c1-9351-734e77a60e1a · inbound

Adversarial Attacks Leverage Interference Between Features in Superposition cites this paper.

Adversarial Attacks Leverage Interference Between Features in Superposition Sparse autoencoders reveal selective remapping of visual concepts during adaptation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T10:08:54.038461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c91d6d55-52fd-4aa2-813b-4fa821fb7bfb · inbound

The SuperActivator Mechanism: Transformers Concentrate Reliable Concept Signals in the Tail cites this paper.

The SuperActivator Mechanism: Transformers Concentrate Reliable Concept Signals in the Tail Sparse autoencoders reveal selective remapping of visual concepts during adaptation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T18:33:04.243183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbef2a4b-accc-404e-ac15-6f41fc95edf6 · inbound

Beyond Semantics: Disentangling Information Scope in Sparse Autoencoders for CLIP cites this paper.

Beyond Semantics: Disentangling Information Scope in Sparse Autoencoders for CLIP Sparse autoencoders reveal selective remapping of visual concepts during adaptation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:25:49.715504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 896f609b-7a76-40c1-9429-19272c3cc85c · inbound

Latent Anomaly Knowledge Excavation: Unveiling Sparse Sensitive Neurons in Vision-Language Models cites this paper.

Latent Anomaly Knowledge Excavation: Unveiling Sparse Sensitive Neurons in Vision-Language Models Sparse autoencoders reveal selective remapping of visual concepts during adaptation

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:51:15.987377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7c9a5700-98e3-4184-ac99-7fe78f28259c · inbound

Can Cross-Layer Transcoders Replace Vision Transformer Activations? An Interpretable Perspective on Vision cites this paper.

Can Cross-Layer Transcoders Replace Vision Transformer Activations? An Interpretable Perspective on Vision Sparse autoencoders reveal selective remapping of visual concepts during adaptation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:01:03.480845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1a3933a8-e3de-44b6-9378-d688373b6555 · inbound

GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models cites this paper.

GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models Sparse autoencoders reveal selective remapping of visual concepts during adaptation

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:06:05.090855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ea0bb3f1-3066-44ed-86fd-e8612d3cea92 · inbound

Extraction and Analysis of Multimodal Concepts in Vision Language Models through Sparse Autoencoders cites this paper.

Extraction and Analysis of Multimodal Concepts in Vision Language Models through Sparse Autoencoders Sparse autoencoders reveal selective remapping of visual concepts during adaptation

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T14:29:31.014718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a944bfc7-f086-46e1-b8c1-51d6edd36bf2 · inbound

V-FIND: Revealing the Intrinsic Forgery Knowledge Encoded in Video Forgery Detectors cites this paper.

V-FIND: Revealing the Intrinsic Forgery Knowledge Encoded in Video Forgery Detectors Sparse autoencoders reveal selective remapping of visual concepts during adaptation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T04:21:37.955026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.