Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T13:57:16.447867Z
Paper Citation Record · LEDGER
IRepair: An Intent-Aware Approach to Repair Data-Driven Errors in Large Language Models
As of 16 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.