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Paper Citation Record · LEDGER

Breeze-7B Technical Report

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.02712.

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

pith.paper-citation-record.v1
2403.02712 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:43:32.711801Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:49:18.074592Z

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 9e7e0951-541c-428d-8476-f9ba114fecda · inbound

Enhancing Function-Calling Capabilities in LLMs: Strategies for Prompt Formats, Data Integration, and Multilingual Translation cites this paper.

Enhancing Function-Calling Capabilities in LLMs: Strategies for Prompt Formats, Data Integration, and Multilingual Translation Breeze-7B Technical Report

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T04:43:32.711801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:43:32.711801Z digest=sha256:3ff896100f53b65eb655eb90a88e63b16dfd30a797a8f4ade8e164c091eda065

Observation 24776c5a-5281-48cb-89b3-67173b21ed24 · inbound

Knowledge Retrieval Based on Generative AI cites this paper.

Knowledge Retrieval Based on Generative AI Breeze-7B Technical Report

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T21:31:41.961801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:31:41.961801Z digest=sha256:426f6d9a9c74d0676510d63275827f03b26bfdaee9ec13f6dda61410fa854e30

Observation 4349a998-adba-4e6c-a54a-9adbcd0acc0d · inbound

The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities cites this paper.

The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities Breeze-7B Technical Report

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T15:32:48.269320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:32:48.269320Z digest=sha256:e92ceccc8f7cda3b16d6ae012d1c6ddf4ce139ede7bef3b7fc835bab8396c48a

Observation 8e95398e-d72e-4424-bcb6-fef539f2a188 · inbound

Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese cites this paper.

Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese Breeze-7B Technical Report

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T13:08:32.115528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:32.115528Z digest=sha256:f052aaf1a352a1960235de52ed6d884f89a1f890b19cbaf47c980b2e39b6c32e

Observation 787fbc5e-9f43-41f5-8e3e-4a99d6dbf9b1 · inbound

Low-Resource Fine-Tuning for Multi-Task Structured Information Extraction with a Billion-Parameter Instruction-Tuned Model cites this paper.

Low-Resource Fine-Tuning for Multi-Task Structured Information Extraction with a Billion-Parameter Instruction-Tuned Model Breeze-7B Technical Report

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T20:44:00.002645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:44:00.002645Z digest=sha256:97d6ca66b511d007be328c47a2ace3f01003bc77cee83183896dc0c51d8423ee

Observation 7417270c-3c8b-486c-8f20-81eee1c7c985 · inbound

Automated IEP Generation from Traditional Chinese Parent-Teacher Interviews via Corpus-Grounded Feature Diffusion cites this paper.

Automated IEP Generation from Traditional Chinese Parent-Teacher Interviews via Corpus-Grounded Feature Diffusion Breeze-7B Technical Report

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:57:30.668140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T16:51:44.689433Z digest=sha256:437b3d71189c2467c69a29023b131481f8f9012b567b90fe0c7bd91a254801ec

Observation 62250c56-5bd8-451e-817a-4f9fe0b28d5a · inbound

TW-LegalBench: Measuring Taiwanese Legal Understanding cites this paper.

TW-LegalBench: Measuring Taiwanese Legal Understanding Breeze-7B Technical Report

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:49:18.077908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T20:59:24.937275Z digest=sha256:60cd2879dff581fc29a7e7b52f91f546b220b966cd5d1c9d3bd2dd65d9a66373