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Paper Citation Record · LEDGER

Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.17245.

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

pith.paper-citation-record.v1
2405.17245 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:19:35.724310Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T01:05:16.383592Z

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 2e5e6ffc-ef6f-41d2-bb08-42fafaa1df43 · inbound

The MoE-Empowered Edge LLMs Deployment: Architecture, Challenges, and Opportunities cites this paper.

The MoE-Empowered Edge LLMs Deployment: Architecture, Challenges, and Opportunities Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T05:19:35.724310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:19:35.724310Z digest=sha256:124169d6c748ac25ca3a363f4ac131e8b3bad6a158d41b1aac2425898ba39692

Observation 3b8c494d-9f11-4bc9-be15-6a21ced81128 · inbound

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:05:16.386504Z

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=2026-05-23T01:03:26.037233Z digest=sha256:34ca5e4255e4ff19e41d9687e3b5fbedea72780d63ba43d353a8b78c1a4f90a9

Observation cefeb681-f9e5-4b0f-bc37-fde6ef58283c · inbound

Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism cites this paper.

Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:07.770435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:02:07.770435Z digest=sha256:d1d328d54787ddfe6b80bf630efabf2c4dcd525a549d3fe48dccc68c2c958c47