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Paper Citation Record · LEDGER

Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.08305.

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

pith.paper-citation-record.v1
2410.08305 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:26:48.291646Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T20:28:24.078978Z

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 e0217aef-fee6-4b06-8bf9-f0c5fec41e52 · inbound

Decentralized Low-Rank Fine-Tuning of Large Language Models cites this paper.

Decentralized Low-Rank Fine-Tuning of Large Language Models Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-10T14:26:48.291646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:26:48.291646Z digest=sha256:09a156f855bd0921c0d6cbfb828d41cf431ca85cc5b5a09c54dc185607e6c06b

Observation 89aabb06-e1ac-4319-82fa-7989181a9b0c · inbound

HRP: High-Rank Preheating for Superior LoRA Initialization cites this paper.

HRP: High-Rank Preheating for Superior LoRA Initialization Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-08T11:51:10.182586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:51:10.182586Z digest=sha256:c8a2e2116fc96301dee0414ea364b2dc1a265ac1cb3703a62835fa3032cd7924

Observation b6e86292-84ff-42e4-bce0-9b8060c5cdf5 · inbound

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models cites this paper.

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T13:42:48.891650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:42:48.891650Z digest=sha256:bd60fa7028e0e5b614efdbe6f1e594ed317c8626239f9e6c3197a2e601d1af24

Observation c036b2d3-fb42-4c44-80cf-e94deadfc5d6 · inbound

On the Convergence Rate of LoRA Gradient Descent cites this paper.

On the Convergence Rate of LoRA Gradient Descent Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:28:24.080821Z

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.

source=pdf_text observed=2026-05-16T20:25:58.250270Z digest=sha256:d6e9be65626d7e039f53f1b36343ab0efe438cfce9a81d065d38329048b9b5ba

Observation ae49582e-2257-47a9-800b-680173ffe48d · inbound

Federated Foundation Models Fine-Tuning with Heterogeneous Compressed Clients cites this paper.

Federated Foundation Models Fine-Tuning with Heterogeneous Compressed Clients Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-03T14:16:11.189086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:16:11.189086Z digest=sha256:e60fb01592755f1ad9e6baf1d0bfab08812eb3c543ad05fd44ffdecb987d41c4