Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:27:14.768095Z
Paper Citation Record · LEDGER
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding
As of 23 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2505.04723.
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 2026-08-23T06:30:58.430688+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
28 of 28 outbound references displayed
- verified exact0
- verified fuzzy11
- unresolved17
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation aef93fac-bedf-459d-b692-fa7a1b702d40 · outbound
This paper cites In: International Conference on Services Computing.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding In: International Conference on Services Computing
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:15.068541Z
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 7360241d-fca9-49bb-b1f3-ed183fdb3a82 · outbound
This paper cites Computer Stan- dards & Interfaces p.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding Computer Stan- dards & Interfaces p
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:15.058573Z
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 6ab72c5e-4ffc-4a3c-bdb2-e054b5b2f9dc · outbound
This paper cites Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:14.676966Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e58696d-92a3-451b-8e97-1c7cde77feca · outbound
This paper cites In: 2024 IEEE 17th International Conference on Signal Processing (ICSP).
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding In: 2024 IEEE 17th International Conference on Signal Processing (ICSP)
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:15.047009Z
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 95bab909-0348-489c-b491-fe8862fe4fde · outbound
This paper cites In: ICASSP 2025-2025 IEEE International Conference on Acous- tics, Speech and Signal Processing (ICASSP).
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding In: ICASSP 2025-2025 IEEE International Conference on Acous- tics, Speech and Signal Processing (ICASSP)
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:15.034594Z
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 79b08b38-0ca8-4a9d-8b25-1707fdc2ee61 · outbound
This paper cites Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:14.688451Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a002c95-f0fa-432c-8a4d-b3f9040aad8a · outbound
This paper cites A Survey on Efficient Inference for Large Language Models.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding A Survey on Efficient Inference for Large Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:14.692575Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92b6d827-f4f0-4c32-bc53-0835d6e9b835 · outbound
This paper cites In: Proceedings of the fourth ACM international conference on AI in finance.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding In: Proceedings of the fourth ACM international conference on AI in finance
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:14.696554Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10418670-ef03-40c9-a1fd-ca2bc142644e · outbound
This paper cites Health Care Science 2(4), 255–263 (2023).
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding Health Care Science 2(4), 255–263 (2023)
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:15.016292Z
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 a018c488-42be-4998-9b2d-43ee1469ef42 · outbound
This paper cites In: Pro- ceedings of the 26th annual international conference on machine learning.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding In: Pro- ceedings of the 26th annual international conference on machine learning
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:14.703419Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2336e83c-a4c3-4147-b812-cffd7660ba99 · outbound
This paper cites In: Fu, X., Fleisig, E.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding In: Fu, X., Fleisig, E
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:15.001035Z
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 ddc6db4a-0d8b-4919-98a4-a43cdc8be440 · outbound
This paper cites In: Al-Onaizan, Y., Bansal, M., Chen, Y.N.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding In: Al-Onaizan, Y., Bansal, M., Chen, Y.N
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:14.990867Z
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 4441d46e-1f1f-4163-b63b-aa37e4d151f7 · outbound
This paper cites Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum Learning.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum Learning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:14.716291Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7acb583f-7e21-4b76-9fd9-0280383bfe19 · outbound
This paper cites https:// huggingface.co/datasets/BAAI/Infinity-Instruct (2024), accessed: 2024-04- 08.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding https:// huggingface.co/datasets/BAAI/Infinity-Instruct (2024), accessed: 2024-04- 08
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:14.968709Z
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 00b35da8-089e-45da-a6c2-476882170ebb · outbound
This paper cites LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:14.724102Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a15dd0be-4242-4ee4-9b0d-e545bf571a30 · outbound
This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:14.728221Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3587fb8-9d6b-497f-954d-fcebfa565d38 · outbound
This paper cites In: International Conference on Machine Learning.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding In: International Conference on Machine Learning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:14.732200Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 228d35f9-bf2c-4f0d-9a66-d80c783710ad · outbound
This paper cites https://github.com/apoorvumang/ prompt-lookup-decoding/ (November 2023), accessed: 2024-04-08.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding https://github.com/apoorvumang/ prompt-lookup-decoding/ (November 2023), accessed: 2024-04-08
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:14.951271Z
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 0eb17a2d-2588-485d-8f6b-c02dcb959ab1 · outbound
This paper cites Qwen2.5 Technical Report.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding Qwen2.5 Technical Report
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:14.739248Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 791c098e-c1e0-4205-a32a-970ac1e31e02 · outbound
This paper cites In: Proceed- ings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding In: Proceed- ings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:14.743163Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d84844a-759e-48f3-ba9b-12fb21de9cf6 · outbound
This paper cites Training Deep Nets with Sublinear Memory Cost.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding Training Deep Nets with Sublinear Memory Cost
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:14.746402Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ca28f5f-182d-4fde-8d73-9b0c1a10f0dd · outbound
This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:14.749998Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9687c014-cdd3-4e44-90ff-f2a0829f8ace · outbound
This paper cites Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:14.753674Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b0bee15-dcf4-43b3-b587-f58f4c43e456 · outbound
This paper cites DeepSeek-V3 Technical Report.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding DeepSeek-V3 Technical Report
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:14.757330Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbdf2aa0-687e-4133-b8e3-3fcf6ecce1b7 · outbound
This paper cites CMMLU: Measuring massive multitask language understanding in Chinese.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding CMMLU: Measuring massive multitask language understanding in Chinese
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:27:14.760897Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 771168a9-1241-4484-ad8e-53f7c6ccc7a9 · outbound
This paper cites Advances in Neural Information Processing Systems 36, 62991–63010 (2023).
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding Advances in Neural Information Processing Systems 36, 62991–63010 (2023)
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:14.934219Z
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 26398668-2718-4bc6-b1c7-9a423bfa923f · outbound
This paper cites In: Proceedings of the 29th Symposium on Operating Systems Principles.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding In: Proceedings of the 29th Symposium on Operating Systems Principles
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T23:27:14.922923Z
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 5edbe3eb-39e2-47fb-82a6-2b77836439a5 · outbound
This paper cites an unresolved cited work.
SOAEsV2-7B/72B: Full-Pipeline Optimization for State-Owned Enterprise LLMs via Continual Pre-Training, Domain-Progressive SFT and Distillation-Enhanced Speculative Decoding Unresolved cited work
Reference 4572
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T23:27:14.979942Z
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.
Pith citing papers
No inbound Pith citation observations are available.