Paper Citation Record · LEDGER

Understanding polysemanticity in neural networks through coding theory

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.17975.

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

pith.paper-citation-record.v1
2401.17975 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:14:11.783109Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:12:30.755621Z

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 93258bb2-0e02-453b-92c5-90f3c641b28b · inbound

SAFR: Neuron Redistribution for Interpretability cites this paper.

SAFR: Neuron Redistribution for Interpretability Understanding polysemanticity in neural networks through coding theory

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T16:14:11.783109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e024d7d1-7da1-4336-ac31-61e59c51c31f · inbound

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution cites this paper.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Understanding polysemanticity in neural networks through coding theory

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:12:30.759111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 298c474c-7e91-404f-89ee-10af19a0a875 · inbound

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

Mammo-SAE: Interpreting Breast Cancer Concept Learning with Sparse Autoencoders Understanding polysemanticity in neural networks through coding theory

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:41.165164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d29db268-316e-4ad0-9a8e-c6b1a4e7b574 · inbound

Representational Curvature Modulates Behavioral Uncertainty in Large Language Models cites this paper.

Representational Curvature Modulates Behavioral Uncertainty in Large Language Models Understanding polysemanticity in neural networks through coding theory

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:56:17.452354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9c5b06a8-bd2d-4126-bbbc-9b1837089908 · inbound

fmxcoders: Factorized Masked Crosscoders for Cross-Layer Feature Discovery cites this paper.

fmxcoders: Factorized Masked Crosscoders for Cross-Layer Feature Discovery Understanding polysemanticity in neural networks through coding theory

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:51:24.031218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.