Paper Citation Record · LEDGER

Configurable Foundation Models: Building LLMs from a Modular Perspective

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2409.02877.

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

pith.paper-citation-record.v1
2409.02877 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:48.485849Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:26:26.699953Z

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 63d5c7f4-ad43-46e0-9853-e3d97d953d44 · inbound

Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR cites this paper.

Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR Configurable Foundation Models: Building LLMs from a Modular Perspective

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:48.485849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b4da3d7-7bf2-4fdf-a3b6-103286c73645 · inbound

Cartridges: Lightweight and general-purpose long context representations via self-study cites this paper.

Cartridges: Lightweight and general-purpose long context representations via self-study Configurable Foundation Models: Building LLMs from a Modular Perspective

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:35.128321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07c072ab-aa9e-4071-b566-81e6133fdf8a · inbound

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations cites this paper.

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations Configurable Foundation Models: Building LLMs from a Modular Perspective

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:06:04.745656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1f1fbcd0-7d76-44cb-927f-0ea4c51bebe8 · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories Configurable Foundation Models: Building LLMs from a Modular Perspective

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:26:26.701628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7591efcf-f0f4-43b9-9d36-fc457c8ffbd5 · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories Configurable Foundation Models: Building LLMs from a Modular Perspective

Reference 100

Resolution: unresolved; no resolver link, observed 2026-07-13T07:44:25.325808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8e39e35-aecb-429b-b23f-92e7250ce2b3 · inbound

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective cites this paper.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Configurable Foundation Models: Building LLMs from a Modular Perspective

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:00.645151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.