Paper Citation Record · LEDGER

Explaining black box text modules in natural language with language models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.09863.

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

pith.paper-citation-record.v1
2305.09863 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 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:27:07.017170Z

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

6
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 616a5c8a-a6b1-4ba7-8055-1a4f62fef883 · inbound

Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams cites this paper.

Ratas framework: A comprehensive genai-based approach to rubric-based marking of real-world textual exams Explaining black box text modules in natural language with language models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:27:07.017170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23a93113-18b9-4010-839f-be0c49c12264 · inbound

Do Activation Verbalization Methods Convey Privileged Information? cites this paper.

Do Activation Verbalization Methods Convey Privileged Information? Explaining black box text modules in natural language with language models

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:42:41.847360Z

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.

Observation f28dae11-3b7a-4dc3-976f-6a70dce1f70d · inbound

Agentic-imodels: Evolving agentic interpretability tools via autoresearch cites this paper.

Agentic-imodels: Evolving agentic interpretability tools via autoresearch Explaining black box text modules in natural language with language models

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:36:36.269925Z

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.

Observation 99e42457-891f-41c1-8403-c0fa469d10c8 · inbound

A Geometric View for Understanding Concept Learning and Neuron Interpretation in Sparse Autoencoders cites this paper.

A Geometric View for Understanding Concept Learning and Neuron Interpretation in Sparse Autoencoders Explaining black box text modules in natural language with language models

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:47:09.921789Z

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.

Observation 427990ea-8762-4e74-9408-c3a1b7763847 · inbound

Data-Efficient Adaptation of LLMs via Attention Head Reweighting cites this paper.

Data-Efficient Adaptation of LLMs via Attention Head Reweighting Explaining black box text modules in natural language with language models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T05:16:37.578983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a5a8fc1-97db-46c8-9b36-2ce5901c8690 · inbound

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability cites this paper.

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability Explaining black box text modules in natural language with language models

Reference 120

Resolution: unresolved; no resolver link, observed 2026-08-04T10:56:22.050516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.