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Paper Citation Record · LEDGER

The Missing Curve Detectors of InceptionV1: Applying Sparse Autoencoders to InceptionV1 Early Vision

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.03662.

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

pith.paper-citation-record.v1
2406.03662 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:36:43.455838Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:56:26.405199Z

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 f2900484-feaa-4a76-9f6c-e81ae6ffbf6c · inbound

Interpreting and Steering Protein Language Models through Sparse Autoencoders cites this paper.

Interpreting and Steering Protein Language Models through Sparse Autoencoders The Missing Curve Detectors of InceptionV1: Applying Sparse Autoencoders to InceptionV1 Early Vision

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T22:36:43.455838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:36:43.455838Z digest=sha256:9e768706c453600dfbdd58a1f30f342e6460b7eea788777965c6b4537425d24c

Observation 796c6177-a8a4-46a3-89a0-d7f220a91ac3 · inbound

Relevance-driven Input Dropout: an Explanation-guided Regularization Technique cites this paper.

Relevance-driven Input Dropout: an Explanation-guided Regularization Technique The Missing Curve Detectors of InceptionV1: Applying Sparse Autoencoders to InceptionV1 Early Vision

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:51.890410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:51.890410Z digest=sha256:5ad59297178a2dd745c544f1720def05511b233bf1172f7f256fc769209dde23

Observation 9dc2bc81-ca36-432c-96f4-b889f65766a2 · inbound

Evaluating SAE interpretability without explanations cites this paper.

Evaluating SAE interpretability without explanations The Missing Curve Detectors of InceptionV1: Applying Sparse Autoencoders to InceptionV1 Early Vision

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T18:24:51.055259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:24:51.055259Z digest=sha256:6733519fcf48f78f3cf2859c014472c42d69afb0d62b83ad6e07fd742deb18a7

Observation 290fdff6-a281-48a8-9256-670cae07a103 · inbound

SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders cites this paper.

SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders The Missing Curve Detectors of InceptionV1: Applying Sparse Autoencoders to InceptionV1 Early Vision

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T15:42:37.121035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:42:37.121035Z digest=sha256:fea962ba5439f7dcd7d84b9430ccfd67c6c2db697a7305a040619c69fd086770

Observation 6720a8c0-0971-420d-840e-29b212575660 · inbound

A Monosemantic Attribution Framework for Stable Interpretability in Clinical Neuroscience Transformer-Based Language Models cites this paper.

A Monosemantic Attribution Framework for Stable Interpretability in Clinical Neuroscience Transformer-Based Language Models The Missing Curve Detectors of InceptionV1: Applying Sparse Autoencoders to InceptionV1 Early Vision

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T08:14:20.320073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:14:20.320073Z digest=sha256:3a3c265ec26a2f854d8b2e8ac88cac02c814270b55c5f2abd2589a6ed61cce0f

Observation e61de1a6-a442-4c18-9feb-f805aa51a0e3 · inbound

What Cohort INRs Encode and Where to Freeze Them cites this paper.

What Cohort INRs Encode and Where to Freeze Them The Missing Curve Detectors of InceptionV1: Applying Sparse Autoencoders to InceptionV1 Early Vision

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:56:26.411100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T01:32:38.878151Z digest=sha256:1e19699a5089b408f0de1d8612decba8a0d8f0b56d8c305dbb56f476ee5eed6f