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Paper Citation Record · LEDGER

Composable Sparse Fine-Tuning for Cross-Lingual Transfer

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2110.07560.

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

pith.paper-citation-record.v1
2110.07560 v2

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 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:55:11.887098Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T11:32:36.911246Z

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 ae06be04-699b-471a-9e51-17cb480357e4 · inbound

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Composable Sparse Fine-Tuning for Cross-Lingual Transfer

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-13T11:32:36.912702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T11:32:36.738536Z digest=sha256:e9d252b3ecbff46b8874c1596578834ca5be08df27621048be7e661a11b10e92

Observation c3b0a294-320f-4206-8adb-db1a8e1b5b09 · inbound

S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity cites this paper.

S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity Composable Sparse Fine-Tuning for Cross-Lingual Transfer

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T19:55:11.887098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:55:11.887098Z digest=sha256:a50811e16fc959ffe4c2937fa12b7ce648c90c01f8c582a901521e3564b0fca2

Observation e9416622-6e64-4203-b7fa-15319359874e · inbound

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models cites this paper.

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models Composable Sparse Fine-Tuning for Cross-Lingual Transfer

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T13:08:43.955299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:08:43.955299Z digest=sha256:e8126d80bf0b8b55bf2b81f9e708c2db9a7f02b6937e4a573f9ccb9c1b51b563

Observation 8a676d16-f904-4632-980a-c354de661e0b · inbound

CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation cites this paper.

CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation Composable Sparse Fine-Tuning for Cross-Lingual Transfer

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T20:20:35.548631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:20:35.548631Z digest=sha256:220f9b05d2a7a855ee58d5950d5a76582b6c55db4e93c75fc49a2f60bd4e3343

Observation feec5860-dd8a-47b8-a602-5060ff3262d1 · inbound

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling cites this paper.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Composable Sparse Fine-Tuning for Cross-Lingual Transfer

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-02T09:51:03.406704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:51:03.406704Z digest=sha256:2988859535214fbcf3b2383003cbe016f6d810f1578cc097d3e88ea876a267e0