Paper Citation Record · LEDGER

Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2401.11181.

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

pith.paper-citation-record.v1
2401.11181 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:10:22.887709Z

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

6
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 cd8da1e9-bc32-448d-bd9d-4a7ffbce1000 · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 273

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:39:33.469145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7c6ccbed-f64c-4d5b-8fd7-4062c9ac36e2 · inbound

Memory Offloading for Large Language Model Inference with Latency SLO Guarantees cites this paper.

Memory Offloading for Large Language Model Inference with Latency SLO Guarantees Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T10:10:22.887709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf3a698b-6d10-4bad-bedf-03331e1c72c7 · inbound

Hybrid Offline-online Scheduling Method for Large Language Model Inference Optimization cites this paper.

Hybrid Offline-online Scheduling Method for Large Language Model Inference Optimization Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T18:55:04.330334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d539e8c3-45f1-43ce-a2b0-9593364440c7 · inbound

Beyond the Buzz: A Pragmatic Take on Inference Disaggregation cites this paper.

Beyond the Buzz: A Pragmatic Take on Inference Disaggregation Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:32.736179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f148349-ce14-4b64-8106-9106552df42e · inbound

Nexus:Proactive Intra-GPU Disaggregation of Prefill and Decode in LLM Serving cites this paper.

Nexus:Proactive Intra-GPU Disaggregation of Prefill and Decode in LLM Serving Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:03:53.051327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f33f8277-8b6a-4991-b6f4-b43908aa318b · inbound

Taming the Chaos: Coordinated Autoscaling for Heterogeneous and Disaggregated LLM Inference cites this paper.

Taming the Chaos: Coordinated Autoscaling for Heterogeneous and Disaggregated LLM Inference Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T15:45:36.345043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f96ef1a-0a70-4f5b-96ed-3cd4aff33490 · inbound

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism cites this paper.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T20:53:31.939770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26ad8cfa-5076-4b7b-b8bd-67eb2edd7fbc · inbound

FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters cites this paper.

FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:11:03.617983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1a795543-9eae-427b-8f11-15ae5f4ad8c2 · inbound

STAR: Decode-Phase Rescheduling for LLM Inference cites this paper.

STAR: Decode-Phase Rescheduling for LLM Inference Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:12:25.938366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0af25593-fd88-4ed5-954b-b2bef949192e · inbound

ODMA: On-Demand Memory Allocation Strategy for LLM Serving on LPDDR-Class Accelerators cites this paper.

ODMA: On-Demand Memory Allocation Strategy for LLM Serving on LPDDR-Class Accelerators Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:58:43.005876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d20fdeaf-85f2-4752-af64-7f07217c58e6 · inbound

Efficient Multi-round LLM Inference over Disaggregated Serving cites this paper.

Efficient Multi-round LLM Inference over Disaggregated Serving Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 1994

Resolution: unresolved; no resolver link, observed 2026-08-02T23:16:44.283021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ce18c33-284a-4fde-b632-ee06b6f0368e · inbound

Coral: Cost-Efficient Multi-LLM Serving over Heterogeneous Cloud GPUs cites this paper.

Coral: Cost-Efficient Multi-LLM Serving over Heterogeneous Cloud GPUs Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:01:07.014104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 193c6fde-95d1-4e3c-bdc9-5cfc75a66375 · inbound

VeriCache: Turning Lossy KV Cache into Lossless LLM Inference cites this paper.

VeriCache: Turning Lossy KV Cache into Lossless LLM Inference Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-19T22:12:51.167065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 93fbeaed-f880-4c22-88d8-a296d194c9da · inbound

AlignedServe: Orchestrating Prefix-aware Batching to Build a High-throughput and Computing-efficient LLM Serving System cites this paper.

AlignedServe: Orchestrating Prefix-aware Batching to Build a High-throughput and Computing-efficient LLM Serving System Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:15:17.288802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 34fb4efc-43e1-4098-ae80-ff6ca91927d7 · inbound

Human-Less LLM Serving: Quantifying the Human Tax on Throughput cites this paper.

Human-Less LLM Serving: Quantifying the Human Tax on Throughput Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:45:11.801306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 66c5f74e-e132-435a-8a50-d755ca4e86e2 · inbound

Geometry-Aware Online Scheduling for LLM Serving: From Theoretical Bound to System Practice cites this paper.

Geometry-Aware Online Scheduling for LLM Serving: From Theoretical Bound to System Practice Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:39:41.985966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 91619bb5-87eb-472e-8b08-6cf731256fcb · inbound

Demystifying the Design Space and Best Practices for Heterogeneous LLM Inference and Serving cites this paper.

Demystifying the Design Space and Best Practices for Heterogeneous LLM Inference and Serving Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T14:04:45.341416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 04af9445-3e67-4eb8-b5ea-8d59b1fe8549 · inbound

Demystifying the Design Space and Best Practices for Heterogeneous LLM Inference and Serving cites this paper.

Demystifying the Design Space and Best Practices for Heterogeneous LLM Inference and Serving Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T08:55:35.143870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9045a234-d428-4ed8-947a-61dad41f26e5 · inbound

Towards Load-Aware Prefill Deflection for Disaggregated LLM Serving cites this paper.

Towards Load-Aware Prefill Deflection for Disaggregated LLM Serving Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:07:40.890885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ac815cd7-9513-4cb1-b790-b1cb655a2309 · inbound

CoCoScale: Leveraging Layer-wise Scaling to Unlock the Potential of Online LLM Serving cites this paper.

CoCoScale: Leveraging Layer-wise Scaling to Unlock the Potential of Online LLM Serving Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T21:08:24.159706Z

Source-reported events for the cited work

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Observation ebab7f57-b3e2-4028-9376-3b53766a92b9 · inbound

Sangam: Efficiently Serving Diffusion LLMs with the AR Stack cites this paper.

Sangam: Efficiently Serving Diffusion LLMs with the AR Stack Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-11T20:58:04.182764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25516814-d561-4c3a-aa0a-af61bd4072d0 · inbound

AutoSLO: Practical Latency SLOs on Cloud Data Warehouses -- Extended Version cites this paper.

AutoSLO: Practical Latency SLOs on Cloud Data Warehouses -- Extended Version Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T03:18:47.408836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88f9298f-b660-4f3d-8b42-61c58cd035e9 · inbound

SmartGen: Seamless Disaggregated LLM Inference with Selective KV Cache Transfer cites this paper.

SmartGen: Seamless Disaggregated LLM Inference with Selective KV Cache Transfer Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-31T16:21:14.862617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b49bd378-5512-4d7b-b8f6-08a197292084 · inbound

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework cites this paper.

Rethinking AI Cloud Infrastructure for Agentic Serving Systems with the Aries Experimentation Framework Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T14:14:10.457557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d2fc877-c3e9-4a5b-9681-8eb28e071b5f · inbound

Energy-Efficient LLM Serving via Disaggregated Attention--FFN and Flexible Frequency Scaling cites this paper.

Energy-Efficient LLM Serving via Disaggregated Attention--FFN and Flexible Frequency Scaling Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T18:49:22.951059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea77d351-5772-4605-b59d-d2342eac07e3 · inbound

TensorCast: The Missing Tensor Management Layer in Large Language Model Infrastructure cites this paper.

TensorCast: The Missing Tensor Management Layer in Large Language Model Infrastructure Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:08.353271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.