Paper Citation Record · LEDGER

Enhancing Automated Interpretability with Output-Centric Feature Descriptions

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2501.08319.

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

pith.paper-citation-record.v1
2501.08319 v2

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 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:18:26.276323Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:19:53.882248Z

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 4fc2ab76-3405-44b3-9b96-221fec5afd3c · inbound

Evaluating Neuron Explanations: A Unified Framework with Sanity Checks cites this paper.

Evaluating Neuron Explanations: A Unified Framework with Sanity Checks Enhancing Automated Interpretability with Output-Centric Feature Descriptions

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:26.276323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bab99dc-d58a-4897-a207-f157f837be27 · inbound

Evaluating SAE interpretability without explanations cites this paper.

Evaluating SAE interpretability without explanations Enhancing Automated Interpretability with Output-Centric Feature Descriptions

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:51.096631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbb345d5-9e0b-4082-8aad-cd3a757d6bf8 · inbound

Insights into a radiology-specialised multimodal large language model with sparse autoencoders cites this paper.

Insights into a radiology-specialised multimodal large language model with sparse autoencoders Enhancing Automated Interpretability with Output-Centric Feature Descriptions

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T16:40:41.965252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89e1260c-d73b-43b5-be0e-a84974de6c3f · inbound

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models cites this paper.

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models Enhancing Automated Interpretability with Output-Centric Feature Descriptions

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:40:54.644671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1d7d8de9-2dc1-4eef-acc6-33de8f622bd1 · inbound

GKnow: Measuring the Entanglement of Gender Bias and Factual Gender cites this paper.

GKnow: Measuring the Entanglement of Gender Bias and Factual Gender Enhancing Automated Interpretability with Output-Centric Feature Descriptions

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T04:52:16.665372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7679f0fe-dd64-4973-9363-5f1587c25823 · inbound

LMs as Task-Specific Knowledge Bases: An Interpretability Analysis cites this paper.

LMs as Task-Specific Knowledge Bases: An Interpretability Analysis Enhancing Automated Interpretability with Output-Centric Feature Descriptions

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T14:19:53.884008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.