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Paper Citation Record · LEDGER

Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2105.12002.

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

pith.paper-citation-record.v1
2105.12002 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T05:07:10.885133Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T09:48:48.146592Z

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 47e08dfa-216c-4118-9cf3-6bae4a068054 · inbound

TLoRA: Task-aware Low Rank Adaptation of Large Language Models cites this paper.

TLoRA: Task-aware Low Rank Adaptation of Large Language Models Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:48:48.148104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T05:07:10.885133Z digest=sha256:63ae0f3033008c9aeb7643fa1e897fd91f14875d67caeceee261b51fd3068525