Paper Citation Record · LEDGER

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2502.04320.

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

pith.paper-citation-record.v1
2502.04320 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:41:21.200157Z

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

0
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 233f2121-ba18-4444-9534-6a742e222961 · inbound

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers cites this paper.

LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:41:21.200157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5d4b584-b4d5-4ec3-9d37-32aeef6aa1bb · inbound

From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models cites this paper.

From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:31.024475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e373986a-7abc-4b74-a3b0-20d237a9dc01 · inbound

The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models cites this paper.

The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:44:26.945529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8e151f58-cd7c-4cf5-925e-a8d75f068994 · inbound

Attention of a Kiss: Exploring Attention Maps in Video Diffusion for XAIxArts cites this paper.

Attention of a Kiss: Exploring Attention Maps in Video Diffusion for XAIxArts ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T13:27:41.569139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 286c8497-c10b-40f7-8d9c-569fb466ffb7 · inbound

S3OD: Towards Generalizable Salient Object Detection with Synthetic Data cites this paper.

S3OD: Towards Generalizable Salient Object Detection with Synthetic Data ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T08:19:59.521627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 014dd85b-2817-4cc2-be1c-e2a8fccbdcff · inbound

TS-Attn: Temporal-wise Separable Attention for Multi-Event Video Generation cites this paper.

TS-Attn: Temporal-wise Separable Attention for Multi-Event Video Generation ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T02:53:29.908134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe15ad0f-f369-4514-aa9c-f95023a90daa · inbound

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment cites this paper.

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:16:12.253353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 26316507-ecd0-4158-ae13-55a10d372608 · inbound

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment cites this paper.

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T15:32:58.066814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e0e87f6-6282-4654-a044-369e679d2a9a · inbound

Consistency Regularised Gradient Flows for Inverse Problems cites this paper.

Consistency Regularised Gradient Flows for Inverse Problems ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features

Reference 66

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:25:55.059096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b53677f1-09e8-4e1f-b252-47ec5ad2bebb · inbound

What Concepts Lie Within? Detecting and Suppressing Risky Content in Diffusion Transformers cites this paper.

What Concepts Lie Within? Detecting and Suppressing Risky Content in Diffusion Transformers ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:06:26.433353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 794bcc62-c9f1-4579-80ab-8a00799ac7e8 · inbound

Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows cites this paper.

Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information Flows ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:07:09.083615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1c2eb649-ccb4-42b1-a613-5a0adcff069e · inbound

Text Template Tokens Are Implicit Semantic Registers in Diffusion Transformers cites this paper.

Text Template Tokens Are Implicit Semantic Registers in Diffusion Transformers ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T13:25:54.283706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.