Paper Citation Record · LEDGER

Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.00603.

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

pith.paper-citation-record.v1
2310.00603 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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:08:35.212245Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:33:50.796983Z

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 89c6de1e-d538-4d2d-b9f4-0310501c3cd7 · inbound

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention cites this paper.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:35.212245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3c7eb90-4ccd-4119-9a54-2b8b668f9be6 · inbound

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models cites this paper.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:32:20.677113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e86c820e-354f-414b-a3ed-cd69791a6d55 · inbound

TimeSAE: Causal Sparse Decoding for Faithful Explanations of Black-Box Time Series Models cites this paper.

TimeSAE: Causal Sparse Decoding for Faithful Explanations of Black-Box Time Series Models Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T10:37:06.943495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dad76dc-5775-4409-b889-3f3d9b5ed718 · inbound

Quantifying Trust: Financial Risk Management for Trustworthy AI Agents cites this paper.

Quantifying Trust: Financial Risk Management for Trustworthy AI Agents Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:18:01.295502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eb459e25-a0d4-435e-82a7-43ba2b68f9ba · inbound

Why Prompt Optimization Works, and Why It Sometimes Doesn't: A Causal-Inspired Edit-Level Analysis cites this paper.

Why Prompt Optimization Works, and Why It Sometimes Doesn't: A Causal-Inspired Edit-Level Analysis Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:33:50.799286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0b06717f-f9c4-4375-9a75-f094240a2f2b · inbound

Training Large Language Models for Self-Explanation Faithfulness cites this paper.

Training Large Language Models for Self-Explanation Faithfulness Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T08:36:19.679734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.