Paper Citation Record · LEDGER

Weight Distillation: Transferring the Knowledge in Neural Network Parameters

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2009.09152.

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

pith.paper-citation-record.v1
2009.09152 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:01:58.874750Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:27:31.060796Z

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 e47c9c29-384c-4d11-8cdb-a4971a0ad64a · inbound

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models cites this paper.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Weight Distillation: Transferring the Knowledge in Neural Network Parameters

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T12:01:58.874750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7543a2fd-2b45-4c67-a734-077fe83da26d · inbound

Projectable Models: One-Shot Generation of Small Specialized Transformers from Large Ones cites this paper.

Projectable Models: One-Shot Generation of Small Specialized Transformers from Large Ones Weight Distillation: Transferring the Knowledge in Neural Network Parameters

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:23.397051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7242cf1a-b7dc-469d-954e-364d6ac7cd5c · inbound

Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models cites this paper.

Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models Weight Distillation: Transferring the Knowledge in Neural Network Parameters

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:05:58.743030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bedb2f91-7fdb-4a82-8514-1c6e369a82f8 · inbound

Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges cites this paper.

Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges Weight Distillation: Transferring the Knowledge in Neural Network Parameters

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:27:31.062172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.