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Paper Citation Record · LEDGER

Robust Lottery Tickets for Pre-trained Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2211.03013.

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

pith.paper-citation-record.v1
2211.03013 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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:23.206606Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T17:57:42.484566Z

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 fcc68dc2-e072-4c77-b691-d4632248eb78 · inbound

NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling cites this paper.

NeuroTrails: Training with Dynamic Sparse Heads as the Key to Effective Ensembling Robust Lottery Tickets for Pre-trained Language Models

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-07T14:44:23.206606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:44:23.206606Z digest=sha256:64e3cb9de4c4727d0d0bc943369797e5da2a2bf67e1ccd4a5d4ce33e3631a449

Observation 93f50828-dbed-43a5-b1f5-b19abf74ec44 · inbound

StructCoh: Structured Contrastive Learning for Context-Aware Text Semantic Matching cites this paper.

StructCoh: Structured Contrastive Learning for Context-Aware Text Semantic Matching Robust Lottery Tickets for Pre-trained Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T12:01:38.099132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:01:38.099132Z digest=sha256:e995521fe0f7e49315b5aeb28fa5471e928c6514092da966ccba939f5e668e78

Observation 013507e0-c7e5-49bb-abd6-809561df1065 · inbound

Efficient Task Adaptation in Large Language Models via Selective Parameter Optimization cites this paper.

Efficient Task Adaptation in Large Language Models via Selective Parameter Optimization Robust Lottery Tickets for Pre-trained Language Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:26:27.723307Z

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=2026-05-10T06:21:59.735341Z digest=sha256:67acc3a830b0ede003f98211fb2a6713e92490138c8581798c9aa8144926604d

Observation 4a18eb4c-ea0b-49a1-bfe0-376588f60048 · inbound

Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels cites this paper.

Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels Robust Lottery Tickets for Pre-trained Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:57:42.487055Z

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=2026-05-19T17:55:35.764347Z digest=sha256:b94a8ac0484063043a53cf5e22e6b12060b704437c8c7ea3dca3c674740ef96e

Observation 338ad014-d7d3-479d-9c46-f24a5ea390d5 · inbound

Multi-Granularity Reasoning for Natural Language Inference cites this paper.

Multi-Granularity Reasoning for Natural Language Inference Robust Lottery Tickets for Pre-trained Language Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-07-12T19:07:54.710156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T19:07:54.710156Z digest=sha256:86610b081868572ea2f48f76109e8a0f4829dfc6e751d6124cdf2eeb8c503097