Paper Citation Record · LEDGER

Interpreting CLIP with Hierarchical Sparse Autoencoders

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2502.20578.

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

pith.paper-citation-record.v1
2502.20578 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 2026-08-09T06:31:02.800959+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:52:46.845569Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:29:45.381568Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 40e9ba27-afc7-41c9-b4ae-4c1f5104a87c · inbound

Model Science: getting serious about verification, explanation and control of AI systems cites this paper.

Model Science: getting serious about verification, explanation and control of AI systems Interpreting CLIP with Hierarchical Sparse Autoencoders

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T15:17:08.750129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 649409cd-4791-4d95-9c02-9c21950b5840 · inbound

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

Beyond Semantics: Disentangling Information Scope in Sparse Autoencoders for CLIP Interpreting CLIP with Hierarchical Sparse Autoencoders

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:25:49.648993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d80e7d68-daff-45bf-92d1-45de7d58215f · 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 Interpreting CLIP with Hierarchical Sparse Autoencoders

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:51:18.661250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5e061a45-da44-4704-bea1-3eefb05f90e4 · inbound

LatentDiff: Scaling Semantic Dataset Comparison to Millions of Images cites this paper.

LatentDiff: Scaling Semantic Dataset Comparison to Millions of Images Interpreting CLIP with Hierarchical Sparse Autoencoders

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:06.342597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 00e8bf1b-99a6-4145-a3c7-71e00b2d5cd0 · inbound

Birds of a Feather Flock Together: Background-Invariant Representations via Linear Structure in VLMs cites this paper.

Birds of a Feather Flock Together: Background-Invariant Representations via Linear Structure in VLMs Interpreting CLIP with Hierarchical Sparse Autoencoders

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:27:29.738280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 16347d71-bd03-4899-9d7a-6981aa767f7a · inbound

Conceptualizing Embeddings: Sparse Disentanglement for Vision-Language Models cites this paper.

Conceptualizing Embeddings: Sparse Disentanglement for Vision-Language Models Interpreting CLIP with Hierarchical Sparse Autoencoders

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:51:07.675541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9d3f2067-430f-42d0-9510-4117d291f1c6 · inbound

Transcoders Trace Visual Grounding and Hallucinations in Vision-Language Models cites this paper.

Transcoders Trace Visual Grounding and Hallucinations in Vision-Language Models Interpreting CLIP with Hierarchical Sparse Autoencoders

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:25:23.797271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2359aad6-4f2c-4d69-8887-4b6c1ad3352b · inbound

Do Sparse Autoencoders Learn Meaningful Concept Hierarchies? cites this paper.

Do Sparse Autoencoders Learn Meaningful Concept Hierarchies? Interpreting CLIP with Hierarchical Sparse Autoencoders

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:29:45.383322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 80d6cde7-00a8-44c1-910a-a427fec3fbcc · inbound

The Hyperspherical Geometry of CLIP Latent Space: A Semantic Mixture Model cites this paper.

The Hyperspherical Geometry of CLIP Latent Space: A Semantic Mixture Model Interpreting CLIP with Hierarchical Sparse Autoencoders

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T04:33:54.132265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 042d60b7-a730-412b-81af-7bb13f4d123c · inbound

Measuring Monosemanticity in Sparse Autoencoders via Latent Activation Coherence cites this paper.

Measuring Monosemanticity in Sparse Autoencoders via Latent Activation Coherence Interpreting CLIP with Hierarchical Sparse Autoencoders

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:25.162245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3258d3f7-0d1a-4378-a531-552f699071fb · 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 Interpreting CLIP with Hierarchical Sparse Autoencoders

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T04:21:37.945531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c855e95e-b08c-4704-9ee6-55ec85f0598a · inbound

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers cites this paper.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers Interpreting CLIP with Hierarchical Sparse Autoencoders

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:37.397809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd8317dc-2481-4c5b-a592-ccf4b813426b · inbound

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers cites this paper.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers Interpreting CLIP with Hierarchical Sparse Autoencoders

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:46.845569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.