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Paper Citation Record · LEDGER

Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.08242.

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

pith.paper-citation-record.v1
2504.08242 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:57:30.414602Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T04:19:00.408582Z

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 7c52fc6d-9ccd-45e9-bc88-254a7b594cde · inbound

EdgeWisePersona: A Dataset for On-Device User Profiling from Natural Language Interactions cites this paper.

EdgeWisePersona: A Dataset for On-Device User Profiling from Natural Language Interactions Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T20:57:30.414602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:57:30.414602Z digest=sha256:c24798a8447047a14762f97c2321e6b696a569ad0d8692b2715fe8ff5c890ba8

Observation e8721b4c-4779-4fce-906e-f355dc1f33a1 · inbound

DisCEdge: Distributed Context Management for Large Language Models at the Edge cites this paper.

DisCEdge: Distributed Context Management for Large Language Models at the Edge Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-17T04:19:00.411247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-17T04:17:31.955480Z digest=sha256:157438f4c740e0124bf8f869755ef4290652097f6eca58832a3c921eeb8115fc