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Paper Citation Record · LEDGER

PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.01031.

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

pith.paper-citation-record.v1
2407.01031 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 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T21:05:49.893508Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:39:16.840307Z

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 aecb74c1-5dd6-4f86-a91c-b88a7fe8ce16 · inbound

ShadowNPU: System and Algorithm Co-design for NPU-Centric On-Device LLM Inference cites this paper.

ShadowNPU: System and Algorithm Co-design for NPU-Centric On-Device LLM Inference PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:06:52.136787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T22:03:10.316005Z digest=sha256:3b82ab4fa596b9aac75c55008ef4337115138e61cd90587f3abbf1667dbd3223

Observation fd6c850c-6823-440b-9ae6-173dff894814 · inbound

Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices cites this paper.

Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:39:16.841621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T21:05:49.893508Z digest=sha256:97232d78f798fc34991b435305c267b5d15349be79b5f793d919739ec2875961