Paper Citation Record · LEDGER

X-Intelligence 3.0: Training and Evaluating Reasoning LLM for Semiconductor Display

As of 7 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2507.14430.

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

pith.paper-citation-record.v1
2507.14430 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:10:01.426316Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

13 of 13 outbound references displayed

verified exact1
verified fuzzy1
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa392dc3-f24a-4e60-b68d-e291f21080db · outbound

This paper cites Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.

X-Intelligence 3.0: Training and Evaluating Reasoning LLM for Semiconductor Display Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T16:10:01.357656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecf3847f-39ba-4c8b-8303-71ccf7aeb4d5 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

X-Intelligence 3.0: Training and Evaluating Reasoning LLM for Semiconductor Display DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T16:10:01.365037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57644bf6-b95c-4e81-b25c-73975da30d19 · outbound

This paper cites LMSYS Org.

X-Intelligence 3.0: Training and Evaluating Reasoning LLM for Semiconductor Display LMSYS Org

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:10:01.965758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 78faa790-d95c-42ef-a25e-4b8193e3168b · outbound

This paper cites Crowd-sourced Elo leaderboard for large language models.

X-Intelligence 3.0: Training and Evaluating Reasoning LLM for Semiconductor Display Crowd-sourced Elo leaderboard for large language models

Reference 6

Resolution: verified exact; raw_fallback, observed 2026-08-06T16:10:01.818009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d188863b-24a4-42c5-9240-3a9083f0eff4 · outbound

This paper cites DeepSeek-V3 Technical Report.

X-Intelligence 3.0: Training and Evaluating Reasoning LLM for Semiconductor Display DeepSeek-V3 Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:10:01.396158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40a5a8ac-7074-4a70-9823-53a5c0aab4ac · outbound

This paper cites DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training.

X-Intelligence 3.0: Training and Evaluating Reasoning LLM for Semiconductor Display DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:10:01.401958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5aaaebe-6c98-40f9-8944-e17aa8d1a220 · outbound

This paper cites Conan-embedding: General Text Embedding with More and Better Negative Samples.

X-Intelligence 3.0: Training and Evaluating Reasoning LLM for Semiconductor Display Conan-embedding: General Text Embedding with More and Better Negative Samples

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T16:10:01.413411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06768d3b-d97d-4c88-8f47-d1668a509531 · outbound

This paper cites Scaling laws of synthetic data for language models.

X-Intelligence 3.0: Training and Evaluating Reasoning LLM for Semiconductor Display Scaling laws of synthetic data for language models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T16:10:01.420172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28041c97-1ab1-481c-85b7-a6cacad979de · outbound

This paper cites Ragas: Automated Evaluation of Retrieval Augmented Generation.

X-Intelligence 3.0: Training and Evaluating Reasoning LLM for Semiconductor Display Ragas: Automated Evaluation of Retrieval Augmented Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:10:01.426316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29d649f2-1118-4cfb-ab3c-41fca91711ca · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

X-Intelligence 3.0: Training and Evaluating Reasoning LLM for Semiconductor Display M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T16:10:01.389804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3b89dea-ceb4-4466-ae43-1b5dcb4567b3 · outbound

This paper cites A Survey on Retrieval-Augmented Text Generation for Large Language Models.

X-Intelligence 3.0: Training and Evaluating Reasoning LLM for Semiconductor Display A Survey on Retrieval-Augmented Text Generation for Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T16:10:01.408414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01f6c166-0929-49ae-b8d6-23fe5c7a5257 · outbound

This paper cites Reasoning with large language models, a survey.

X-Intelligence 3.0: Training and Evaluating Reasoning LLM for Semiconductor Display Reasoning with large language models, a survey

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T16:10:01.351743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ef5d0a1-15a0-4790-8899-d920fce5b893 · outbound

This paper cites Qwen3 Technical Report.

X-Intelligence 3.0: Training and Evaluating Reasoning LLM for Semiconductor Display Qwen3 Technical Report

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T16:10:01.371072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.