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Paper Citation Record · LEDGER

CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2204.10965.

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

pith.paper-citation-record.v1
2204.10965 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:43:35.004548Z

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

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

9
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 c0497548-ea4d-4a3c-9ef6-aa9d6d5c5071 · inbound

FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks cites this paper.

FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:43:35.004548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:43:35.004548Z digest=sha256:a2cd210b6feeeed617140fe1607d02dd3eaa51af8787c3e75c34f1fc954f4730

Observation 43b3708c-c15d-472f-9c03-f06b9d5671b3 · 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 CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T11:37:15.812420Z

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.

source=pdf_text observed=2026-05-19T11:35:01.836096Z digest=sha256:196637eeb16756a384dd42bf8c473fc9dbdb0afdec2ce7eae411926c83154177

Observation 8c8995bd-e16c-4ee8-9651-2bec9d0a069a · 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 CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T11:53:50.320767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:53:50.320767Z digest=sha256:4a7d3b7242a1ab575186a49f239d2124a0656e4a8ea04ed519034c0a5fe93744

Observation 7a19e4ee-39ae-4969-8fd7-85bc86db6475 · inbound

BrainExplore: Large-Scale Discovery of Interpretable Visual Representations in the Human Brain cites this paper.

BrainExplore: Large-Scale Discovery of Interpretable Visual Representations in the Human Brain CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-03T17:41:52.717620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:41:52.717620Z digest=sha256:69038848aaacde25c040c7fcc5a414b66f0296bb0d027dc4534f4fdc736c6a93

Observation 7bbd6748-d173-4ec2-aacf-f437d7beeb56 · inbound

Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions cites this paper.

Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Reference 280

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:51:29.659733Z

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.

source=pdf_text observed=2026-05-15T18:50:52.313363Z digest=sha256:8e9a25506fba40843fb4020626f0da42beeae4ca8a10211b1e8207926741c187

Observation 31c501c4-de49-491a-bf3d-44e905dae108 · inbound

Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions cites this paper.

Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Reference 280

Resolution
unresolved
no resolver link, observed 2026-08-02T20:04:34.085730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:04:34.085730Z digest=sha256:737eb3d509db35bb8ae3f19d7bdce65aee559e1bf674049a57615d1c74efd751

Observation 2a5c2597-9c7b-470c-95b3-8daffde5d071 · inbound

Hierarchical, Interpretable, Label-Free Concept Bottleneck Model cites this paper.

Hierarchical, Interpretable, Label-Free Concept Bottleneck Model CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T21:13:16.540389Z

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.

source=pdf_text observed=2026-05-13T21:10:36.948753Z digest=sha256:dd5c8bbd795fc90b56393b655198621c0caad31867b1bc279a301ed7ea752ede

Observation 269f06d3-d63a-42a8-9a31-065d7b461790 · 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 CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:01:03.451933Z

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.

source=pdf_text observed=2026-05-10T15:41:17.655954Z digest=sha256:fc70471588f94579a7e002c61c45db006487ce2bb0ada6c00698fe2a2e772c2f

Observation b944f420-3d94-4b5e-a1d7-9aedc414395b · inbound

Letting the neural code speak: Automated characterization of monkey visual neurons through human language cites this paper.

Letting the neural code speak: Automated characterization of monkey visual neurons through human language CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:12:07.062453Z

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.

source=arxiv_source observed=2026-05-13T02:12:00.335761Z digest=sha256:f23102d4dc5919a5a8ea4652d105cccdfd57bd5db9a24333184cdb55665381bc

Observation f614e9ed-1c3a-4ba3-9d31-f0b322e3795e · inbound

Letting the neural code speak: Automated characterization of monkey visual neurons through human language cites this paper.

Letting the neural code speak: Automated characterization of monkey visual neurons through human language CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:19:02.980468Z

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.

source=arxiv_source observed=2026-05-20T21:17:53.615009Z digest=sha256:0665dbf4dffebebc21a00c1119fe27ac8d4eae74aee00bf1cd294a672e11b0bf

Observation 59e3e0d5-62b3-4745-9bd9-ecd158dbdf5e · inbound

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces cites this paper.

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Reference 284

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:17:54.536463Z

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.

source=arxiv_source observed=2026-05-14T20:17:01.224864Z digest=sha256:20de7c2230a92183b2cf46164623380214b232c673604963d36a14e76f0c97a6

Observation e348682a-41d3-4378-b704-bc1908f8f301 · inbound

Mechanistically Interpretable Neural Encoding Reveals Fine-Grained Functional Selectivity in Human Visual Cortex cites this paper.

Mechanistically Interpretable Neural Encoding Reveals Fine-Grained Functional Selectivity in Human Visual Cortex CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:38:56.241001Z

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.

source=pdf_text observed=2026-05-20T19:35:38.063063Z digest=sha256:9d73da55b306125f6bed5993c1d9ddea23a63adaee1cc63c0170b5f6bfa59e20

Observation 3e3ec285-a2e0-40af-9207-cc32d9df6377 · inbound

Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models cites this paper.

Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-07-02T06:16:43.841001Z

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.

source=pdf_text observed=2026-06-28T07:27:56.163337Z digest=sha256:fafc56afbfd178043241201e24816bdaec72f2636afb56e40d04778ce17ebe27

Observation 26228fc2-344d-483d-b1b6-d83b42f278d1 · inbound

Act on What You See: Unlocking Safe Social Navigation in Vision-Language-Action Models cites this paper.

Act on What You See: Unlocking Safe Social Navigation in Vision-Language-Action Models CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-03T06:07:41.671608Z

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.

source=pdf_text observed=2026-06-27T12:52:38.764427Z digest=sha256:81a6d846aff84862896ce822bd1f33be0784386071f30fa0019fa6c8fb58047b

Observation 8897ae16-4d75-4307-a6a0-723d2fa778e5 · inbound

Objects Before Words: Object-First Inductive Biases for Grounding Language in Child-View Video cites this paper.

Objects Before Words: Object-First Inductive Biases for Grounding Language in Child-View Video CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:58:21.268186Z

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.

source=arxiv_source observed=2026-06-27T07:26:35.954455Z digest=sha256:1a4277fa5ab068a2be27d5f3f0aa27025fe1fbf88ef3d45d620580ebc573f22f

Observation bb3b109d-39f4-4936-8bea-5b95d5ea3b7d · inbound

Explainable Novel Category Discovery in Semantic Concept Space cites this paper.

Explainable Novel Category Discovery in Semantic Concept Space CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Reference 52

Resolution
unresolved
no resolver link, observed 2026-07-11T17:32:24.547251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T17:32:24.547251Z digest=sha256:2c2a6588fb40d87910a9825bc435e0f4c31cbaa4c228d9ff9eeac5d1da826150