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Paper Citation Record · LEDGER

Disentangling Neuron Representations with Concept Vectors

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.09707.

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

pith.paper-citation-record.v1
2304.09707 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:04:38.304033Z

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 8d6bb2e5-be7d-4541-9a54-d0aceb65f815 · inbound

Superposition in Transformers: A Novel Way of Building Mixture of Experts cites this paper.

Superposition in Transformers: A Novel Way of Building Mixture of Experts Disentangling Neuron Representations with Concept Vectors

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T22:53:58.501085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:53:58.501085Z digest=sha256:d0e2c1ee39b26406eb536b75ce3182f8a300ff0cf2445d1dd16e175f3a9a8872

Observation 1586524d-81c1-41e8-932c-6c5c7b3d5324 · inbound

Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces cites this paper.

Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces Disentangling Neuron Representations with Concept Vectors

Reference 195

Resolution
unresolved
no resolver link, observed 2026-08-16T05:04:38.304033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:04:38.304033Z digest=sha256:13859d2bf0d0f1c2bd4b5773f2a81ebd280e38fcce9fbf50b49b1e7808a50a91

Observation 3e4b5100-97db-42a8-97dd-a55b36849346 · inbound

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

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces Disentangling Neuron Representations with Concept Vectors

Reference 265

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:17:54.400893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-14T20:17:01.224864Z digest=sha256:d0b19ec0059b43490ac64b71f16d292b394c440c574c2cb3c9e69b395a6650dc