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Paper Citation Record · LEDGER

LoRTA: Low Rank Tensor Adaptation of Large Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.04060.

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

pith.paper-citation-record.v1
2410.04060 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T05:39:41.389568Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:40:23.870614Z

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 604966ae-0a1c-4619-a042-f591c5f71f12 · inbound

Low-Rank Adaptation Redux for Large Models cites this paper.

Low-Rank Adaptation Redux for Large Models LoRTA: Low Rank Tensor Adaptation of Large Language Models

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:26:03.826879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-09T21:48:48.992712Z digest=sha256:e73f657a66773406d4692696653b89ede373bdac0f28ff15f515afd7d23948b3

Observation 645f0019-8fc2-4f0d-b19e-72968274c620 · inbound

FuRA: Full-Rank Parameter-Efficient Fine-Tuning with Spectral Preconditioning cites this paper.

FuRA: Full-Rank Parameter-Efficient Fine-Tuning with Spectral Preconditioning LoRTA: Low Rank Tensor Adaptation of Large Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:40:23.873864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-25T05:39:41.389568Z digest=sha256:98a5ab1f3fbe155c80c0c8f0b4e7eeebde54b1495818087f942c9dacd4af9d2c