Paper Citation Record · LEDGER

Using Captum to Explain Generative Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.05491.

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

pith.paper-citation-record.v1
2312.05491 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:40:37.764958Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T10:44:37.834723Z

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 d6e97ddb-34ea-4f77-b625-193504725bb5 · inbound

Understanding the Dark Side of LLMs' Intrinsic Self-Correction cites this paper.

Understanding the Dark Side of LLMs' Intrinsic Self-Correction Using Captum to Explain Generative Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T11:50:55.062379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a63ae2b-d52e-489a-999c-d968f2f359d0 · inbound

RCStat: A Statistical Framework for using Relative Contextualization in Transformers cites this paper.

RCStat: A Statistical Framework for using Relative Contextualization in Transformers Using Captum to Explain Generative Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T18:40:37.764958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaf3df3a-cb8f-49ce-934a-604dead4f4ee · inbound

LLM attribution analysis across different fine-tuning strategies and model scales for automated code compliance cites this paper.

LLM attribution analysis across different fine-tuning strategies and model scales for automated code compliance Using Captum to Explain Generative Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:44:37.837130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e9fbb7d1-7f6d-4bb9-a69c-bfe3fb522eac · inbound

LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation cites this paper.

LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation Using Captum to Explain Generative Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-11T20:29:43.700229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.