Paper Citation Record · LEDGER

Mobile Foundation Model as Firmware

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2308.14363.

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

pith.paper-citation-record.v1
2308.14363 v3

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 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:52:09.792932Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:21:35.572924Z

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 748142e1-468b-435a-bb40-0b9141dfb0fe · inbound

Generative AI in Multimodal User Interfaces: Trends, Challenges, and Cross-Platform Adaptability cites this paper.

Generative AI in Multimodal User Interfaces: Trends, Challenges, and Cross-Platform Adaptability Mobile Foundation Model as Firmware

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T19:52:09.792932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3907f530-50c0-4a82-b1be-79c23706c07f · inbound

RAP: Runtime Adaptive Pruning for LLM Inference cites this paper.

RAP: Runtime Adaptive Pruning for LLM Inference Mobile Foundation Model as Firmware

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:21:35.575540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 50af0f83-7a9c-42b0-a590-d8edb577779d · inbound

CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge cites this paper.

CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge Mobile Foundation Model as Firmware

Reference 149

Resolution: unresolved; no resolver link, observed 2026-08-07T11:20:30.466455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1631f1fa-d05f-48de-9042-777afd0016c5 · inbound

Punching Above Their Weight: Classification-Head Fine-Tuning of Tiny Language Models (TLMs) for Verifiable Multiple-Choice Tasks cites this paper.

Punching Above Their Weight: Classification-Head Fine-Tuning of Tiny Language Models (TLMs) for Verifiable Multiple-Choice Tasks Mobile Foundation Model as Firmware

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T23:52:16.201593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.