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Paper Citation Record · LEDGER

Multi-Aspect Knowledge Distillation for Language Model with Low-rank Factorization

As of 4 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2604.03110.

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

pith.paper-citation-record.v1
2604.03110 v1

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T20:35:27.085495Z

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

4 of 4 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0d528f26-c6f6-4e60-9896-6273fa9aa2a2 · outbound

This paper cites Association for Computational Linguistics.

Multi-Aspect Knowledge Distillation for Language Model with Low-rank Factorization Association for Computational Linguistics

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T01:23:38.746199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T20:35:27.085495Z digest=sha256:c58821dae4e044f54dabedca56df817edb6d500d0e54f8436c0eef9ff53af741

Observation b448464b-74a8-40b0-8ca0-e15f4d3bdf7c · outbound

This paper cites Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers.

Multi-Aspect Knowledge Distillation for Language Model with Low-rank Factorization Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T20:38:14.644305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T20:35:27.085495Z digest=sha256:7ce05f0ffde606c45c7e48a43138634f0b2fee22237ec66fd223e9fcac31a746

Observation bfd986ba-165a-40a6-9718-8781e7787c40 · outbound

This paper cites MixKD: Towards Efficient Distillation of Large-scale Language Models.

Multi-Aspect Knowledge Distillation for Language Model with Low-rank Factorization MixKD: Towards Efficient Distillation of Large-scale Language Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:38:14.647330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T20:35:27.085495Z digest=sha256:6cf2d7d34aa4b881410b6fa6fc5d8a574d5803f94a563e0bc5604d3c19ab5a17

Observation 65bd97f0-8e95-4ed5-9ac8-4aef1d780962 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Multi-Aspect Knowledge Distillation for Language Model with Low-rank Factorization mixup: Beyond Empirical Risk Minimization

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-13T20:38:14.641368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T20:35:27.085495Z digest=sha256:1e030e6e70f6d4b6fb449750710d9fba5242a83f21eb2e93f0652e274f3a1727

Pith citing papers

No inbound Pith citation observations are available.