Paper Citation Record · LEDGER

Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity

As of 5 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2602.13486.

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

pith.paper-citation-record.v1
2602.13486 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T22:03:10.707781Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

verified exact4
verified fuzzy10
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b40b2c43-0330-47a9-9831-2efb3fe83c69 · outbound

This paper cites SLoRA: Fed- erated parameter efficient fine-tuning of language models.

Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity SLoRA: Fed- erated parameter efficient fine-tuning of language models

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T22:11:43.051207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fae4e52d-15ba-4575-824e-a6e097e1870d · outbound

This paper cites J., Liu, L., Xu, Z., Fahrezi, A., and Joshi, G.

Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity J., Liu, L., Xu, Z., Fahrezi, A., and Joshi, G

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T22:11:43.022129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 24dcf988-8f49-4d44-b118-f0c03a3aad70 · outbound

This paper cites BoolQ: Exploring the surprising difficulty of natural yes/no questions.

Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity BoolQ: Exploring the surprising difficulty of natural yes/no questions

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T22:11:43.055890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 952e6a77-1dd9-4c03-8014-5d4391177835 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-15T22:06:43.500776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation db3adcd1-03fc-4c1d-8208-d82f4a142688 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity Training Verifiers to Solve Math Word Problems

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-15T22:06:43.507485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 80cf0f93-c097-41a0-be64-3ff4bf1d0975 · outbound

This paper cites The Llama 3 Herd of Models.

Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity The Llama 3 Herd of Models

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-15T22:06:43.513927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8b8a54e3-2411-44ca-9a98-bba4af754af3 · outbound

This paper cites LLM-adapters: An adapter family for parameter-efficient fine-tuning of large lan- guage models.

Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity LLM-adapters: An adapter family for parameter-efficient fine-tuning of large lan- guage models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T22:11:43.045770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 47aeda01-1771-4f9c-98a6-ca918699ef1d · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-15T22:06:43.520298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2826622d-1690-43a8-856d-ed41ea2dc3bc · outbound

This paper cites Llama 3.2: Revolutionizing edge AI and vision with open, customizable models.

Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity Llama 3.2: Revolutionizing edge AI and vision with open, customizable models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T22:11:43.031712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7d724607-8463-4c06-990d-5e8e9191f53a · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T22:11:43.060160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 66791ff9-6ecd-4c7e-acdf-8373e1f5093f · outbound

This paper cites Social IQa: Commonsense reasoning about social interactions.

Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity Social IQa: Commonsense reasoning about social interactions

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T22:11:43.036016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 49ed04ec-df84-44ec-bc7c-d04b4b25772b · outbound

This paper cites Towards building the fed- eratedgpt: Federated instruction tuning.

Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity Towards building the fed- eratedgpt: Federated instruction tuning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T22:11:43.017336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6aa5a08a-d7a4-4bac-aac3-40e53233c011 · outbound

This paper cites When δ2 i is negligible, energy concentrates toward the rank-r1 subspace at least as fast as in the basic analysis.

Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity When δ2 i is negligible, energy concentrates toward the rank-r1 subspace at least as fast as in the basic analysis

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T22:11:43.040069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4048cffa-4eab-4c91-b8e8-263b1e62bcab · outbound

This paper cites Models are fine-tuned on Commonsense-15K and evaluated separately on the test sets of each of the eight tasks.

Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity Models are fine-tuned on Commonsense-15K and evaluated separately on the test sets of each of the eight tasks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T22:11:43.026706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.