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Paper Citation Record · LEDGER

Lillama: Large Language Models Compression via Low-Rank Feature Distillation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.16719.

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

pith.paper-citation-record.v1
2412.16719 v2

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:52:28.021295Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:28:38.352564Z

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 99e1a964-ed56-4143-9af6-4b60f69254f0 · inbound

CALR: Corrective Adaptive Low-Rank Decomposition for Efficient Large Language Model Layer Compression cites this paper.

CALR: Corrective Adaptive Low-Rank Decomposition for Efficient Large Language Model Layer Compression Lillama: Large Language Models Compression via Low-Rank Feature Distillation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T17:52:28.021295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:52:28.021295Z digest=sha256:5ba26e7f734393735a9ceeb37e4d27351f510709a91063b483e92f0c98df5292

Observation 1236c6d1-d384-4426-860f-473f0c2d39ee · inbound

Geometric Foundation Model Distillation for Efficient Lunar 3D Reconstruction cites this paper.

Geometric Foundation Model Distillation for Efficient Lunar 3D Reconstruction Lillama: Large Language Models Compression via Low-Rank Feature Distillation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:28:38.353831Z

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=pdf_text observed=2026-07-03T16:22:40.396646Z digest=sha256:3915805d6e61c1e329982bd0082ecf8e0cff584268b6da4b0e0cc9ffc716bf4b