Paper Citation Record · LEDGER

Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.01566.

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

pith.paper-citation-record.v1
2406.01566 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:02:12.424564Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:36:59.461933Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 309083a9-c73c-461e-ba36-00dd5810ebce · inbound

HexiScale: Facilitating Large Language Model Training over Heterogeneous Hardware cites this paper.

HexiScale: Facilitating Large Language Model Training over Heterogeneous Hardware Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:23:27.592114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e4f76555-430e-415b-bb32-0659880987cb · inbound

Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs cites this paper.

Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T18:02:12.424564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e90f9fba-9644-48d7-95b4-e75fe7430ea5 · inbound

EcoServe: Designing Carbon-Aware AI Inference Systems cites this paper.

EcoServe: Designing Carbon-Aware AI Inference Systems Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-08T20:31:35.738204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3200e3ad-3931-4619-a58f-92ab2c9c5492 · inbound

HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment cites this paper.

HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T11:32:21.524538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 273bddff-6fb4-44da-a491-669bb0f35e2a · inbound

HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training cites this paper.

HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T10:46:06.563160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8e76d3e-e5dd-453b-8500-9c5428386ce6 · inbound

Vortex: Efficient and Programmable Sparse Attention Serving for AI Agents cites this paper.

Vortex: Efficient and Programmable Sparse Attention Serving for AI Agents Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:36:59.463491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.