Paper Citation Record · LEDGER

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2109.04650.

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

pith.paper-citation-record.v1
2109.04650 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 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:32:05.932970Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2da0d944-05bf-4da8-890f-6cc53f1659cc · inbound

Multitask Prompted Training Enables Zero-Shot Task Generalization cites this paper.

Multitask Prompted Training Enables Zero-Shot Task Generalization What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-14T17:59:43.092393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f90693fd-1b3c-4802-bb06-7c92f7faba69 · inbound

OPT: Open Pre-trained Transformer Language Models cites this paper.

OPT: Open Pre-trained Transformer Language Models What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

Reference 294

Resolution: verified exact; arxiv_id, observed 2026-05-10T20:53:17.141308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 14e0d415-5d3f-443c-a081-540226a9f5be · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

Reference 114

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:28:39.387494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 06623267-7a52-4679-af2d-ef38e62055c3 · inbound

Trillion 7B Technical Report cites this paper.

Trillion 7B Technical Report What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:32:05.932970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b62926b5-3e24-4dae-9b53-455cb89f8c62 · inbound

Thunder-Tok: Minimizing Tokens per Word in Tokenizing Korean Texts for Generative Language Models cites this paper.

Thunder-Tok: Minimizing Tokens per Word in Tokenizing Korean Texts for Generative Language Models What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T19:47:59.585032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d4b8f35-0b4b-4ff1-9045-3ed131a70d9b · inbound

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI cites this paper.

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

Reference 194

Resolution: unresolved; no resolver link, observed 2026-08-02T11:29:38.267169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.