Paper Citation Record · LEDGER

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI

As of 22 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2507.11830.

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

pith.paper-citation-record.v1
2507.11830 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:07:50.015655Z

measured 20 of 20 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 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

20 of 20 outbound references displayed

verified exact1
verified fuzzy12
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a9d09ec2-0f9b-424b-ac48-e4c3be0c17b0 · outbound

This paper cites ArcticInference: A vLLM plugin for low-latency, high-throughput LLM inference,.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI ArcticInference: A vLLM plugin for low-latency, high-throughput LLM inference,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:52.666591Z

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.

Observation ed59c440-f18d-43aa-9291-7af45fce97b6 · outbound

This paper cites vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs,.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:52.514805Z

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.

Observation e33b1387-c400-4122-95f9-a0b51336cbd7 · outbound

This paper cites Arctic inference with shift parallelism: The fastest open source inference,.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI Arctic inference with shift parallelism: The fastest open source inference,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:52.262790Z

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.

Observation 769b248b-c7b5-4e9e-98f0-bd4a80f09ce4 · outbound

This paper cites Fastest speculative decoding in vLLM with Arctic In- ference and Arctic Training,.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI Fastest speculative decoding in vLLM with Arctic In- ference and Arctic Training,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:52.046925Z

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.

Observation 2ac1eef1-7bec-45a9-b61a-610f47a00294 · outbound

This paper cites SwiftKV: Accelerating enterprise LLM workloads,.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI SwiftKV: Accelerating enterprise LLM workloads,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:51.809237Z

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.

Observation e04aa1b5-ad5b-4651-be42-88249b233789 · outbound

This paper cites Scaling vLLM for embed- dings: 16× throughput and cost reduction,.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI Scaling vLLM for embed- dings: 16× throughput and cost reduction,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:51.597465Z

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.

Observation 669d2eb2-2f5f-4f26-87bc-a944c69dd787 · outbound

This paper cites Text embeddings inference (TEI): A blazing fast inference solution for text embeddings models,.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI Text embeddings inference (TEI): A blazing fast inference solution for text embeddings models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:51.337046Z

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.

Observation 5e8a30f2-a3f5-411b-9d2c-7b10822835d5 · outbound

This paper cites Ulysses: Unlocking low- latency, high-throughput inference for long context LLMs,.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI Ulysses: Unlocking low- latency, high-throughput inference for long context LLMs,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:51.117411Z

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.

Observation 44f26583-8196-4c64-a2cd-1f45a0ab8d87 · outbound

This paper cites EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:49.295482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e27ff2c-d51b-4998-9e6d-dbd1c1acf8a5 · outbound

This paper cites SGL: a fast serving framework for large language models and vision lan- guage models,.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI SGL: a fast serving framework for large language models and vision lan- guage models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:50.950157Z

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.

Observation 5be0fa01-88b5-4752-87e2-64538dd9f49c · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:49.434773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b45fc42c-5abd-4cfc-bde5-a65046daedaa · outbound

This paper cites SGLang: Efficient Execution of Structured Language Model Programs.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI SGLang: Efficient Execution of Structured Language Model Programs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:49.498215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d378fcf3-1c7f-4c67-b4bb-e68de15a8097 · outbound

This paper cites TensorRT-LLM,.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI TensorRT-LLM,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:50.746191Z

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.

Observation d29f3e47-6589-42fc-afb3-58865839155c · outbound

This paper cites SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:07:50.251441Z

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.

Observation 489e20fb-d110-4485-8fce-735364e2acb5 · outbound

This paper cites ShareGPT Vicuna Unfiltered: Cleaned English ShareGPT Conversations,.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI ShareGPT Vicuna Unfiltered: Cleaned English ShareGPT Conversations,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:50.559135Z

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.

Observation a9349f7f-2961-4b2d-926c-1e0a3301d502 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI Evaluating Large Language Models Trained on Code

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:49.770247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51dec79e-d360-4aea-8d48-101c85dc783d · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:49.829597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f2b566b-4b0a-4dcd-a7f1-fdfc2ef75caa · outbound

This paper cites The Llama 3 Herd of Models.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI The Llama 3 Herd of Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:49.890248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25ab451c-48e0-473d-b052-c177c268a35e · outbound

This paper cites Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:49.956821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6914d288-1c91-4216-86f6-98696fb04c30 · outbound

This paper cites bge-base-en-v1.5: English text embedding model,.

Arctic Inference with Shift Parallelism: Fast and Efficient Open Source Inference System for Enterprise AI bge-base-en-v1.5: English text embedding model,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:07:50.393517Z

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.

Pith citing papers

No inbound Pith citation observations are available.