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Paper Citation Record · LEDGER

Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.03748.

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

pith.paper-citation-record.v1
2311.03748 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:33:13.475037Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T11:32:36.893255Z

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 bb890ca1-855f-4a75-89eb-c9eee40ed0f4 · inbound

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

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-13T11:32:36.894757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T11:32:36.738536Z digest=sha256:6edddb9b84f9c31e7ef7c345d69506aef3f04cc34748c2af5b4aac15db73acf9

Observation d66a7e00-af97-493b-aaa5-77317cd53982 · inbound

GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation cites this paper.

GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T17:33:13.475037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:33:13.475037Z digest=sha256:a13b4c5a883102e6ccda8533784fbad3207062025173f5c99f4f15313d2ba8e5