Paper Citation Record · LEDGER

IRepair: An Intent-Aware Approach to Repair Data-Driven Errors in Large Language Models

As of 13 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2502.07072.

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

pith.paper-citation-record.v1
2502.07072 v3

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:57:16.447867Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

5 of 5 outbound references displayed

verified exact0
verified fuzzy2
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8451abaf-c481-446e-aa1d-adbd793abfb3 · outbound

This paper cites Retrieved August 31, 2024 from https://pytorch.org/docs/stable/cuda.html Adam Casson.

IRepair: An Intent-Aware Approach to Repair Data-Driven Errors in Large Language Models Retrieved August 31, 2024 from https://pytorch.org/docs/stable/cuda.html Adam Casson

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:57:16.536393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 09dcf76a-932b-4c9d-a411-60632ae7028b · outbound

This paper cites Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization.

IRepair: An Intent-Aware Approach to Repair Data-Driven Errors in Large Language Models Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T13:57:16.447867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d13b770b-0a2d-47ca-9ada-77c6ee0c4afe · outbound

This paper cites Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models.

IRepair: An Intent-Aware Approach to Repair Data-Driven Errors in Large Language Models Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-08T13:57:16.436527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 329ad9e4-47e6-492b-b858-4dcfbee449a8 · outbound

This paper cites Scaling Laws for Neural Language Models.

IRepair: An Intent-Aware Approach to Repair Data-Driven Errors in Large Language Models Scaling Laws for Neural Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T13:57:16.442156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 265773ec-9f98-4f49-bd95-07637f0a398e · outbound

This paper cites Retrieved August 31, 2024 from https://perspectiveapi.com/.

IRepair: An Intent-Aware Approach to Repair Data-Driven Errors in Large Language Models Retrieved August 31, 2024 from https://perspectiveapi.com/

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:57:16.553502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.