Pith. sign in

Paper Citation Record · LEDGER

QKD: Quantization-aware Knowledge Distillation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1911.12491.

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

pith.paper-citation-record.v1
1911.12491 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:44:22.079463Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

47
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1fd0ae67-49c5-4927-80de-3c8f346f909e · inbound

Towards One-bit ASR: Extremely Low-bit Conformer Quantization Using Co-training and Stochastic Precision cites this paper.

Towards One-bit ASR: Extremely Low-bit Conformer Quantization Using Co-training and Stochastic Precision QKD: Quantization-aware Knowledge Distillation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T13:44:22.079463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:44:22.079463Z digest=sha256:ba3aeecde56e42001e59a4a54ed635edb756a56772bda1baffb5aa892da7f850

Observation d80baf7f-d416-46c3-8d84-33724a987096 · inbound

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

GeLaCo: An Evolutionary Approach to Layer Compression QKD: Quantization-aware Knowledge Distillation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T17:45:20.804509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:45:20.804509Z digest=sha256:5367b5120d0ff91268c09a83a59bc045f3ebb9ca571d4ee5e2351ffa1cfd89f4

Observation 241c47bc-cd07-4a80-b2bc-4701224b9017 · inbound

Skeleton-to-Image Encoding: Enabling Skeleton Representation Learning via Vision-Pretrained Models cites this paper.

Skeleton-to-Image Encoding: Enabling Skeleton Representation Learning via Vision-Pretrained Models QKD: Quantization-aware Knowledge Distillation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-15T14:07:17.005723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T14:07:17.005723Z digest=sha256:5d8deda8fbe9d922ed04149a486c573432dd5b0831acfedbc833651309c8a56e

Observation e0ecd32e-668b-416c-9be6-849be79ee1a7 · inbound

QATMA: Quantization-Aware Training with Multimodal Alignment for Open-Vocabulary Object Detection cites this paper.

QATMA: Quantization-Aware Training with Multimodal Alignment for Open-Vocabulary Object Detection QKD: Quantization-aware Knowledge Distillation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T18:45:13.652403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:45:13.652403Z digest=sha256:617cf50c4b47e59fe07ef0fc99b3a9fadc88f99af0c55f2e4973d6db9a16a4c4

Observation 3f8d2d41-9c90-4afc-9ba0-3ded37b7bf73 · inbound

Nano-U: Efficient Terrain Segmentation for Tiny Robot Navigation cites this paper.

Nano-U: Efficient Terrain Segmentation for Tiny Robot Navigation QKD: Quantization-aware Knowledge Distillation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:01:26.074896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T04:39:15.491144Z digest=sha256:b35cff7aebf9468cf1769cd52a2dee49f43e75db44843007f90e8b1d6f288654

Observation 6643f069-4863-4b85-b0f9-2c29bb1468fa · inbound

Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks cites this paper.

Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks QKD: Quantization-aware Knowledge Distillation

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-06-29T05:13:06.453247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-29T05:08:23.176105Z digest=sha256:d7008cb3313334aa297a01a348de3db26076ced02e8d23876126078356843b26

Observation 2c766393-e80a-4d66-b812-cef970a4c81d · inbound

Zero-Shot Quantization for Object Detectors using Off-the-Shelf Generative Models cites this paper.

Zero-Shot Quantization for Object Detectors using Off-the-Shelf Generative Models QKD: Quantization-aware Knowledge Distillation

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:05:37.348445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T06:47:12.273391Z digest=sha256:726df343acb240b856a34da63cfdc48634f49f9ff9ca4b1cb3296698aefea69d

Observation f0057835-4b84-4079-9b73-56a66eeb88ea · inbound

Zero-Shot Quantization for Object Detectors using Off-the-Shelf Generative Models cites this paper.

Zero-Shot Quantization for Object Detectors using Off-the-Shelf Generative Models QKD: Quantization-aware Knowledge Distillation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T09:19:35.210111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:19:35.210111Z digest=sha256:520e124f646d14f6184b11cd327f344857524fd4f88f971527d07cd377a4a3c9

Observation 82984b8c-0a4b-4727-8b8e-9c33bebea8ce · inbound

Quantizing Recursive Reasoning Models cites this paper.

Quantizing Recursive Reasoning Models QKD: Quantization-aware Knowledge Distillation

Reference 111

Resolution
unresolved
no resolver link, observed 2026-08-02T10:01:02.656542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:01:02.656542Z digest=sha256:709632c40faaaa50805c7d745cc154eda073afc7b64b47ee3df4945b0cfb5ada