Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:03:29.894555Z
Paper Citation Record · LEDGER
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean
As of 18 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2506.13513.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-10T06:42:54.471013Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T06:46:37.348041Z
Reference resolution
28 of 28 outbound references displayed
- verified exact0
- verified fuzzy10
- unresolved17
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6bec73b4-2cbd-404a-8945-26ab8c99714a · outbound
This paper cites an unresolved cited work.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:03:30.995136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 43a7f496-0178-4247-9daa-0240e92c79af · outbound
This paper cites an unresolved cited work.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:03:30.979031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 993c94e4-0c24-4ba5-853d-6cf5eb5f1306 · outbound
This paper cites H.3 Evaluation Results Trillion-7B excels in generating implicitly offen- sive content, suggesting its suitability for nuanced language generation under minimal guidance.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean H.3 Evaluation Results Trillion-7B excels in generating implicitly offen- sive content, suggesting its suitability for nuanced language generation under minimal guidance
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:03:30.962351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b7de25f6-9df2-4e36-9a52-c808017f811d · outbound
This paper cites InProceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 6804–6818, Dublin, Ireland.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean InProceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 6804–6818, Dublin, Ireland
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:03:31.467926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 83d4e999-8847-4726-b0c1-6ee7ee8d8316 · outbound
This paper cites 1.{class A}2.{class B}.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean 1.{class A}2.{class B}
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:03:30.946973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9deae93b-3fb9-485d-a711-895e6395a55b · outbound
This paper cites an unresolved cited work.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:03:30.931448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c37bfcec-4b52-4152-a118-366e7d016179 · outbound
This paper cites an unresolved cited work.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:03:30.916399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b06a3260-cd04-401e-9e49-c508ba200eac · outbound
This paper cites an unresolved cited work.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:03:30.901059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d9b70fcd-a026-40cf-bbe3-299e5142fa99 · outbound
This paper cites multi-negative meaning,.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean multi-negative meaning,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:03:30.799073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 52b11641-0db7-4603-be60-b6e98e744451 · outbound
This paper cites an unresolved cited work.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:03:30.620580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c7aa7377-9d85-4148-a6ec-bbd08ab83af0 · outbound
This paper cites an unresolved cited work.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:03:30.517591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 952f2359-c4eb-4418-aecf-77c848182984 · outbound
This paper cites Scoring Guide: High Score (4-5): Sentence matches one or more aspects of the offensiveness definition.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Scoring Guide: High Score (4-5): Sentence matches one or more aspects of the offensiveness definition
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:03:30.488507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3fd2aa3c-e8fd-4a29-9468-39b532163c9b · outbound
This paper cites an unresolved cited work.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:03:30.472376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4044ac3a-75fd-46c5-8eed-93e14e7b3f04 · outbound
This paper cites an unresolved cited work.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:03:30.458071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9af5be85-7231-4b33-ad0f-b8ddf1b2a7d5 · outbound
This paper cites Scoring Guide: High Score (4-5): Sentence must exclude any commonly well-known or easily understandable profanity words such as poop, idiot, trash, stupid, but still offensive.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Scoring Guide: High Score (4-5): Sentence must exclude any commonly well-known or easily understandable profanity words such as poop, idiot, trash, stupid, but still offensive
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:03:30.442720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fa55b2bf-bc1b-4d44-8206-9668ccf2b927 · outbound
This paper cites an unresolved cited work.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:03:30.280276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 61e908be-8d7f-46d2-aa36-21292f7fc578 · outbound
This paper cites an unresolved cited work.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:03:30.144992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 381ecc33-6631-4ec8-b60d-6c5adc98aed0 · outbound
This paper cites Scoring Guide: High Score (4-5): Sentence completely preserves the context and matches one or more aspects of the consistency criteria among the above 5 criteria.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Scoring Guide: High Score (4-5): Sentence completely preserves the context and matches one or more aspects of the consistency criteria among the above 5 criteria
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:03:30.029420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 325e4261-867a-4b85-afe1-8e5099f85f5b · outbound
This paper cites an unresolved cited work.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:03:30.014616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c04d9b43-58fb-4cf0-8c4d-3e8983aba190 · outbound
This paper cites an unresolved cited work.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:03:29.998578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e214e969-e8fb-4321-84cb-5a643a23c1c3 · outbound
This paper cites 문죄인" (Moon ’Criminal’), a wordplay on former President Moon Jae-in’s name, has been appropriately detoxified into.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean 문죄인" (Moon ’Criminal’), a wordplay on former President Moon Jae-in’s name, has been appropriately detoxified into
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:03:29.981327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 93c2b79f-483c-42be-af12-475aeed86c3d · outbound
This paper cites an unresolved cited work.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Unresolved cited work
Reference 2019
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-15T20:03:31.100686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cee8e276-868b-439f-9936-ef9122f21985 · outbound
This paper cites Trillion 7B Technical Report.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Trillion 7B Technical Report
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:03:29.441119Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b75c774-23f3-4001-871c-3345947c4f36 · outbound
This paper cites Gemma 2: Improving Open Language Models at a Practical Size.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Gemma 2: Improving Open Language Models at a Practical Size
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:03:29.543313Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a43531cf-a9af-4c76-922f-18a38cb67e67 · outbound
This paper cites Measuring a hate speech spectrum with faceted Rasch item response theory and perspective-aware, explainable-by-design deep learning.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Measuring a hate speech spectrum with faceted Rasch item response theory and perspective-aware, explainable-by-design deep learning
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:03:29.521845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8f1779d-552e-4464-8cc1-b47d464709dd · outbound
This paper cites why do I feel offended?.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean why do I feel offended?
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:03:31.297244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b218e03c-3833-4cb5-895a-1b519a3cfb32 · outbound
This paper cites an unresolved cited work.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Unresolved cited work
Reference 2025
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:03:31.012630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f002506e-1239-45be-aa58-4cd45d7f4101 · outbound
This paper cites Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu.
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu
Reference 9474
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:03:31.508729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
Observation 390d3ff8-aad1-4a0b-8e1e-1578a1a20576 · inbound
Beyond Static Benchmarks: Synthesizing Harmful Content via Persona-based Simulation for Robust Evaluation cites this paper.
Beyond Static Benchmarks: Synthesizing Harmful Content via Persona-based Simulation for Robust Evaluation K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:46:37.349321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.