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Paper Citation Record · LEDGER

Soft Weight-Sharing for Neural Network Compression

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1702.04008.

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

pith.paper-citation-record.v1
1702.04008 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:45:30.923687Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T10:00:37.275555Z

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 08d79367-57d2-48f3-985a-01fa956cee68 · inbound

Neuron ranking -- an informed way to condense convolutional neural networks architecture cites this paper.

Neuron ranking -- an informed way to condense convolutional neural networks architecture Soft Weight-Sharing for Neural Network Compression

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-25T10:00:37.278150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T09:59:39.910885Z digest=sha256:922c1daa7bdd5fa6d9ebec3e34a38970a42eb455cb9ef9a5cd653893b85a1fc8

Observation aa6bdc40-d763-4fd4-9d71-68aa13ab7b48 · inbound

Learning Multimodal Fixed-Point Weights using Gradient Descent cites this paper.

Learning Multimodal Fixed-Point Weights using Gradient Descent Soft Weight-Sharing for Neural Network Compression

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-24T20:54:54.742520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T20:50:37.401966Z digest=sha256:b126f7e14f3a0fd65ebc0b8f20e0352095e9ec16f4d00eee6b8d7b13232127d7

Observation d584b26c-68b8-4f04-8356-bf4ab51c6a1f · inbound

Efficient compression of neural networks and datasets cites this paper.

Efficient compression of neural networks and datasets Soft Weight-Sharing for Neural Network Compression

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-05-19T14:17:23.934655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T14:15:10.275764Z digest=sha256:806bd92e26dc268da60c39c0a8b01d8e73015345c36fb8d373a4b5cfd771a9f9

Observation 48c9e467-1d92-41fb-8bff-6a3c6e057b13 · inbound

Stochastic Weight Sharing for Bayesian Neural Networks cites this paper.

Stochastic Weight Sharing for Bayesian Neural Networks Soft Weight-Sharing for Neural Network Compression

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:30.923687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:45:30.923687Z digest=sha256:c523ce066030a26b18b29e02e66efd3f0ee3f3d08b60841599889e761ffc26a6

Observation 75a39c31-dcdf-4f93-94c7-5694f15f32ca · inbound

Hyperpruning: Efficient Search through Pruned Variants of Recurrent Neural Networks Leveraging Lyapunov Spectrum cites this paper.

Hyperpruning: Efficient Search through Pruned Variants of Recurrent Neural Networks Leveraging Lyapunov Spectrum Soft Weight-Sharing for Neural Network Compression

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:08.013626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:27:08.013626Z digest=sha256:1174f62b7d9f30dd74c1a0dc32cdc1990fd6ed958210e0103d2bab85e80039ca

Observation 270987d9-dbf3-48fa-b7fc-ce002493e5ef · inbound

Information-Bottleneck Driven Binary Neural Network for Change Detection cites this paper.

Information-Bottleneck Driven Binary Neural Network for Change Detection Soft Weight-Sharing for Neural Network Compression

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T20:15:26.315904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:15:26.315904Z digest=sha256:8187e1dad07208c7019784eac46b19fac05771e45c664a917888f71656d2f541