Paper Citation Record · LEDGER

How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving

As of 21 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 3 inbound Pith citation observations for arXiv:2605.28302.

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

pith.paper-citation-record.v1
2605.28302 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T14:11:24.646931Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:42:38.994773Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T01:57:50.965515Z

Reference resolution

13 of 13 outbound references displayed

verified exact4
verified fuzzy0
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eed0d6e2-6f1f-4ac5-abb2-b116cc224555 · outbound

This paper cites SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills.

How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:13:29.987690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b85e23f-3e5c-49f5-809e-1a56ba95cf1c · outbound

This paper cites Vidur: A Large-Scale Simulation Framework For LLM Inference.

How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving Vidur: A Large-Scale Simulation Framework For LLM Inference

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:13:29.990690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d7d3be51-3dc0-445c-be18-c542eccbef34 · outbound

This paper cites MIST: A Co-Design Framework for Heterogeneous, Multi-Stage LLM Inference.

How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving MIST: A Co-Design Framework for Heterogeneous, Multi-Stage LLM Inference

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:13:29.985098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1cf17043-136e-4f42-ad74-5b81a772a514 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:13:29.977309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ace63582-4a37-4169-a2c8-4a4cad7c4011 · outbound

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

How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving Efficient Memory Management for Large Language Model Serving with PagedAttention , booktitle =

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T14:13:29.703478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5c764205-8eb9-4e84-a64a-2d0bba678963 · outbound

This paper cites an unresolved cited work.

How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T14:11:24.646931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c212e841-e076-4b5d-addc-3e3296d96e53 · outbound

This paper cites [Online; accessed 2025-04-11].

How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving [Online; accessed 2025-04-11]

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T14:11:24.646931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2be4053-d887-480c-84cb-8bd442695509 · outbound

This paper cites an unresolved cited work.

How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T14:11:24.646931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0936738-e468-426e-8201-4c02bcb7e291 · outbound

This paper cites StepMesh: A high-performance, low-latency communication library for attention-ffn disaggregation, 2025.https://github.com/stepfun-ai/StepMesh.

How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving StepMesh: A high-performance, low-latency communication library for attention-ffn disaggregation, 2025.https://github.com/stepfun-ai/StepMesh

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T14:11:24.646931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 607b2d92-25c1-41b5-93a1-caf608414d34 · outbound

This paper cites AIConfigurator: Lightning-fast configuration optimization for multi-framework LLM serv- ing.

How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving AIConfigurator: Lightning-fast configuration optimization for multi-framework LLM serv- ing

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T14:13:29.985280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b3685467-e4ef-4344-996b-a59f74b5c1de · outbound

This paper cites MegaScale-Infer: Serving Mixture-of-Experts at Scale with Disaggregated Expert Parallelism.

How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving MegaScale-Infer: Serving Mixture-of-Experts at Scale with Disaggregated Expert Parallelism

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T14:13:29.982788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 19344009-4e15-4d56-b87a-6b608318d107 · outbound

This paper cites The prototype is used for correctness and implementation guidance, while the cluster-scale results use measured backend costs and AstraSim communication modeling.

How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving The prototype is used for correctness and implementation guidance, while the cluster-scale results use measured backend costs and AstraSim communication modeling

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T14:11:24.646931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49e46e87-8c24-4c0e-b9d4-63cda2b8e306 · outbound

This paper cites In (a), KV transfers cross the node boundary; in (b), each prefill–decode pair shares a node.

How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving In (a), KV transfers cross the node boundary; in (b), each prefill–decode pair shares a node

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T14:11:24.646931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b4250cbf-f3e2-4ed9-946d-6dd6324ac619 · inbound

Think Before You Grid-Search: Floor-First Triage for LLM Serving cites this paper.

Think Before You Grid-Search: Floor-First Triage for LLM Serving How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-07-08T22:45:40.117758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 85f7eb06-7a9b-4bf2-b48e-7ca6860e30a4 · inbound

Think Before You Grid-Search: Floor-First Triage for LLM Serving cites this paper.

Think Before You Grid-Search: Floor-First Triage for LLM Serving How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-07-11T01:57:50.993804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 14580223-7cfd-4f10-8900-4bf0fd3148dc · inbound

AFD-Ledger: Deployment Provisioning for Attention--FFN Disaggregation cites this paper.

AFD-Ledger: Deployment Provisioning for Attention--FFN Disaggregation How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T14:42:38.994773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.