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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:32:21.524538Z

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T21:21:03.598124Z digest=sha256:3db6729541a86de952dcff914bbacb7eec3bec0b27527df825d9fe0556603bca

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.

source=pdf_text observed=2026-08-08T11:32:21.524538Z digest=sha256:7d81c7fc6160fa8048c964fc90ae5fb2f29d66884a2a7d13da6b83243a0a5a76

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.

source=arxiv_source observed=2026-08-07T10:46:06.563160Z digest=sha256:da14ca5486e0bfd3ca7fd083d7a1063bd02995e42cbb4b0258733c8f0a84fcfc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T01:07:14.691347Z digest=sha256:72e405ad680f37a1079d6109de4d90878261bb88e7a88672d37ec2d2b91c7d9d