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Paper Citation Record · LEDGER

PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2106.14681.

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

pith.paper-citation-record.v1
2106.14681 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:45:20.807557Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T18:42:29.048230Z

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 03d9e5b9-9469-429c-b081-76d1ade2ec96 · inbound

GeLaCo: An Evolutionary Approach to Layer Compression cites this paper.

GeLaCo: An Evolutionary Approach to Layer Compression PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T17:45:20.807557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:45:20.807557Z digest=sha256:2d4ce2c44ad893dda06cc2c9b6d6c143ad9bf6db864aa9d232b3237bac6b74c3

Observation 36005266-5978-4fa6-829c-252994197729 · inbound

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics cites this paper.

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T17:49:20.160155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:49:20.160155Z digest=sha256:b750f4321a152b01741c12d0de7dec76d2126bfaf131cd193d2920c2a03e7746

Observation 73d23a4b-3fb3-4684-8614-bca3fcb8c9fe · inbound

Integrating Pruning with Quantization for Efficient Deep Neural Networks Compression cites this paper.

Integrating Pruning with Quantization for Efficient Deep Neural Networks Compression PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T10:19:04.276568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:19:04.276568Z digest=sha256:12d4fb7a7f5229e857723c113547a7f5c7711b6ea7d1db0f44a886d09698cdcd

Observation 3f84e480-ebcd-4465-a7de-33a17fdb0935 · inbound

CLIP-RD: Relative Distillation for Efficient CLIP Knowledge Distillation cites this paper.

CLIP-RD: Relative Distillation for Efficient CLIP Knowledge Distillation PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:23:22.897692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T00:20:36.975106Z digest=sha256:e19f6e700d134370b0b0fb1d5056864f9b754bc327cdac6584ad65c4c09341d3

Observation 4e9c775d-d467-47e9-878d-9e05ac52dcea · inbound

Prune-Quantize-Distill: An Ordered Pipeline for Efficient Neural Network Compression cites this paper.

Prune-Quantize-Distill: An Ordered Pipeline for Efficient Neural Network Compression PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T17:08:01.008705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T17:03:48.689643Z digest=sha256:a734b121e2a6880cb01c918d073a451fe60de874677168a8ea864544d3bfe6e5

Observation 5f500b36-8405-4893-914c-56c73f4e53c5 · inbound

Streaming Chain cites this paper.

Streaming Chain PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-13T10:56:59.609600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T10:56:59.609600Z digest=sha256:cb543075b49fe8c7c98a3833e73be9f641fa9bbb35aa2fda34d816b6eda4d63d

Observation 23be80b2-e8c4-45d3-8b69-6d4a6533ba30 · inbound

Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey cites this paper.

Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation

Reference 157

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:55.639384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-11T01:19:51.418374Z digest=sha256:485fc94ab8135a65c4467cd5f22020c24ea78a7a8a8822520d46760d3634115f

Observation 72dfd27f-7727-48a3-a6c1-da156a02acc1 · inbound

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:42:29.056491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T18:41:06.636352Z digest=sha256:b26dfd5e428b2665a3144a083c06fede96f0a6e038b02024cd42d020f9a9d6db