Paper Citation Record · LEDGER

Does Transformer Interpretability Transfer to RNNs?

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.05971.

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

pith.paper-citation-record.v1
2404.05971 v1

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 2026-08-06T06:34:29.942622+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:51:43.510171Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T07:49:50.191290Z

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 7861a7dd-40ac-4ba7-b676-e12f1258afe4 · inbound

Open Problems in Mechanistic Interpretability cites this paper.

Open Problems in Mechanistic Interpretability Does Transformer Interpretability Transfer to RNNs?

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-14T18:30:06.053221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c71d10f6-4432-4212-8843-603324a5f904 · inbound

Towards Understanding What State Space Models Learn About Code cites this paper.

Towards Understanding What State Space Models Learn About Code Does Transformer Interpretability Transfer to RNNs?

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T03:51:43.510171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82388247-ad4d-4d89-b551-198059de4915 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Does Transformer Interpretability Transfer to RNNs?

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:59:28.610904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 83be3993-4d3c-49fd-8210-afa3f767483b · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Does Transformer Interpretability Transfer to RNNs?

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T04:59:45.221746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6314fd7e-9974-41a9-b2ca-459c941cc8cb · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Does Transformer Interpretability Transfer to RNNs?

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:49:50.193387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 95cb53a2-3802-4a72-a70c-a6b925c92681 · inbound

Reproducing Recurrent Transformers: The CoTFormer cites this paper.

Reproducing Recurrent Transformers: The CoTFormer Does Transformer Interpretability Transfer to RNNs?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:40.886207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.