Paper Citation Record · LEDGER

Apple Intelligence Foundation Language Models: Tech Report 2025

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2507.13575.

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

pith.paper-citation-record.v1
2507.13575 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-15T12:17:47.123519Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:59:59.011934Z

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 5398ef00-189e-43c5-9fec-603c2000b1f2 · inbound

FlexServe: A Fast and Secure LLM Serving System for Mobile Devices with Flexible Resource Isolation cites this paper.

FlexServe: A Fast and Secure LLM Serving System for Mobile Devices with Flexible Resource Isolation Apple Intelligence Foundation Language Models: Tech Report 2025

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:25:55.519452Z

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.

Observation ecd78edc-2baf-490f-b6c7-1e2b149138c1 · inbound

FlexServe: A Fast and Secure LLM Serving System for Mobile Devices with Flexible Resource Isolation cites this paper.

FlexServe: A Fast and Secure LLM Serving System for Mobile Devices with Flexible Resource Isolation Apple Intelligence Foundation Language Models: Tech Report 2025

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-15T12:17:47.123519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b090a95-e557-4e7c-a477-774897339a1b · inbound

Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Sign cites this paper.

Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Sign Apple Intelligence Foundation Language Models: Tech Report 2025

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:53:42.878553Z

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.

Observation dd531b98-6dae-41c4-8180-61f9a1ee724e · inbound

Unlocking Apple's Private Cloud Compute: An Analysis of Privacy-Preserving Artificial Intelligence cites this paper.

Unlocking Apple's Private Cloud Compute: An Analysis of Privacy-Preserving Artificial Intelligence Apple Intelligence Foundation Language Models: Tech Report 2025

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:44:48.404302Z

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.

Observation 943a05fe-9f01-4c3e-b3d3-a01e2399edff · inbound

FlexServe: A Fast and Secure LLM Serving System for Mobile Devices with Flexible Resource Isolation cites this paper.

FlexServe: A Fast and Secure LLM Serving System for Mobile Devices with Flexible Resource Isolation Apple Intelligence Foundation Language Models: Tech Report 2025

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-04T11:39:46.618747Z

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.

Observation 5973fb76-c1ce-4d99-943e-fdb39c2e5562 · inbound

Forget to Improve: On-Device LLM-Agent Continual Learning via Budget-Curated Memory cites this paper.

Forget to Improve: On-Device LLM-Agent Continual Learning via Budget-Curated Memory Apple Intelligence Foundation Language Models: Tech Report 2025

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:59:59.013677Z

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.

Observation 9b066353-cca8-4b3a-b4a0-7b0868bc952c · 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 Apple Intelligence Foundation Language Models: Tech Report 2025

Reference 30

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.