Pith. sign in

Paper Citation Record · LEDGER

Very Deep Convolutional Networks for Text Classification

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1606.01781.

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

pith.paper-citation-record.v1
1606.01781 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:17:05.935427Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:01:21.141239Z

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 fc3c8d24-fce3-49ac-9da3-14e926e618fe · inbound

A Deep Learning Approach for Tweet Classification and Rescue Scheduling for Effective Disaster Management cites this paper.

A Deep Learning Approach for Tweet Classification and Rescue Scheduling for Effective Disaster Management Very Deep Convolutional Networks for Text Classification

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T15:17:05.935427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:17:05.935427Z digest=sha256:b2b16b2f7d5ecd1895b2cf6491c2ab3b007b780fa5926d9f8b2bbbb8a76b41eb

Observation 32810676-be3f-406a-a75f-2107a1765b5d · inbound

Semantic Source Code Search: A Study of the Past and a Glimpse at the Future cites this paper.

Semantic Source Code Search: A Study of the Past and a Glimpse at the Future Very Deep Convolutional Networks for Text Classification

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T13:13:02.989218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:13:02.989218Z digest=sha256:6af7508f87b55624bfbbd2d61871fb6c7724dd92544cdee5d4536415fb0d25a0

Observation a26d0507-8833-4934-8f44-c2ab7d7ca8cc · inbound

Automated Architecture Design for Deep Neural Networks cites this paper.

Automated Architecture Design for Deep Neural Networks Very Deep Convolutional Networks for Text Classification

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-14T11:53:19.327331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:53:19.327331Z digest=sha256:069d68253beb87f5752b8131e3bede5b0b76c7c40e2b6cecb2da5f5d5a71645a

Observation 90842cfc-8d6c-4492-b33e-34475c73c2d2 · inbound

Sequential Learning of Convolutional Features for Effective Text Classification cites this paper.

Sequential Learning of Convolutional Features for Effective Text Classification Very Deep Convolutional Networks for Text Classification

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-14T10:06:40.092958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:06:40.092958Z digest=sha256:0d8722fa621a8344be7b7296b4b3612144f5a56a4e769ab7443a7ab424e9e216

Observation 23355ce8-3027-4611-b0ef-11041b49178f · inbound

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases cites this paper.

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Very Deep Convolutional Networks for Text Classification

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-12T20:23:10.407162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:23:10.407162Z digest=sha256:7eb2207a879025c2df6ccc9fbaa054ba0093019486e7dc3e074195992a04b2a9

Observation 1161ac55-31f1-482d-8bd7-fbd52931ca77 · inbound

Low-Resource Fast Text Classification Based on Intra-Class and Inter-Class Distance Calculation cites this paper.

Low-Resource Fast Text Classification Based on Intra-Class and Inter-Class Distance Calculation Very Deep Convolutional Networks for Text Classification

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T16:40:24.026767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:40:24.026767Z digest=sha256:4bc6488da98bb2a0b4cb1cc7a638aa0ee2a2aeef792fbf53107be84a27cacd0e

Observation b9d582c3-df73-4de4-ac85-0a63b087bc26 · inbound

Towards Unsupervised Model Selection for Domain Adaptive Object Detection cites this paper.

Towards Unsupervised Model Selection for Domain Adaptive Object Detection Very Deep Convolutional Networks for Text Classification

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T05:41:59.205969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:41:59.205969Z digest=sha256:17f0a6f02ab77bd0aa5a7f0e643cef203add700a3940d0bd83ffc95f4383ab9c

Observation 1e0926c6-5bf7-485d-ab70-c06c156778db · inbound

SpecPT (Spectroscopy Pre-trained Transformer) Model for Extragalactic Spectroscopy: I. Architecture and Automated Redshift Measurement cites this paper.

SpecPT (Spectroscopy Pre-trained Transformer) Model for Extragalactic Spectroscopy: I. Architecture and Automated Redshift Measurement Very Deep Convolutional Networks for Text Classification

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T22:41:58.446081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:41:58.446081Z digest=sha256:4f40b87547312bde7e63b51827e8daac06e11a241cf388db92a67cdfb4ed58cb

Observation 28d475b2-45c8-4b3b-9de2-e5a6ca17e68d · inbound

Compute Can't Handle the Truth: Why Communication Tax Prioritizes Memory and Interconnects in Modern AI Infrastructure cites this paper.

Compute Can't Handle the Truth: Why Communication Tax Prioritizes Memory and Interconnects in Modern AI Infrastructure Very Deep Convolutional Networks for Text Classification

Reference 141

Resolution
unresolved
no resolver link, observed 2026-08-06T18:50:52.601138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:50:52.601138Z digest=sha256:70bf19c3e9882a764d24783f6ab6505be4a65538fdd0097f921c4aa8bb0cfab2

Observation 80bbdf13-0727-4112-843e-46dcb890fbeb · inbound

Learning Mechanism Underlying NLP Pre-Training and Fine-Tuning cites this paper.

Learning Mechanism Underlying NLP Pre-Training and Fine-Tuning Very Deep Convolutional Networks for Text Classification

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:01:21.156449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T11:01:20.579520Z digest=sha256:a9cfff013a42b57806fd9a827d461e4ebd2e4ec19c659d1a907453221f6e55a6