Paper Citation Record · LEDGER

Regularizing Neural Networks by Penalizing Confident Output Distributions

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:1701.06548.

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

pith.paper-citation-record.v1
1701.06548 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:20:44.623823Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T12:15:43.664113Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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malformed identifier0
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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 ca5efc4f-7c8e-4f2b-85d2-44ab678fd7b0 · inbound

Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction cites this paper.

Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T01:30:10.789176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 88b8e330-f569-4bf7-b7f8-1b1e36db72ee · inbound

Learn Spelling from Teachers: Transferring Knowledge from Language Models to Sequence-to-Sequence Speech Recognition cites this paper.

Learn Spelling from Teachers: Transferring Knowledge from Language Models to Sequence-to-Sequence Speech Recognition Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-24T22:15:01.071164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9f03d56f-5581-485a-8f6d-5b79f3d54c4f · inbound

AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification cites this paper.

AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-24T21:16:22.635980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c26d99f2-0f82-4c97-88e4-8fd2d9b2fcca · inbound

Unsupervised Domain Adaptation via Calibrating Uncertainties cites this paper.

Unsupervised Domain Adaptation via Calibrating Uncertainties Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-24T16:06:15.392807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8cb67c8f-7943-4167-b8b3-824d49666cb4 · inbound

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension cites this paper.

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-13T00:14:58.244147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4e76e584-b351-4955-b263-d9325a485cf4 · inbound

Non-Intrusive Automatic Speech Recognition Refinement: A Survey cites this paper.

Non-Intrusive Automatic Speech Recognition Refinement: A Survey Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 112

Resolution: verified exact; local_arxiv, observed 2026-05-21T23:35:46.437538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0cc1bc7e-6a08-4f47-b475-132329465db5 · inbound

A Ridge Too Far: Correcting Over-Shrinkage via Negative Regularization cites this paper.

A Ridge Too Far: Correcting Over-Shrinkage via Negative Regularization Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-18T21:01:50.884951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2e93566f-3b84-49aa-97a8-081c10ff99d9 · inbound

Trust the uncertain teacher: distilling dark knowledge via calibrated uncertainty cites this paper.

Trust the uncertain teacher: distilling dark knowledge via calibrated uncertainty Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-21T13:00:09.652113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bf1dc905-cdb8-489e-b8ba-dcf28cb23732 · inbound

Can LLMs Learn to Reason Robustly under Noisy Supervision? cites this paper.

Can LLMs Learn to Reason Robustly under Noisy Supervision? Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.362404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9174e75b-e68a-4379-b4a7-d8ddd05251d0 · inbound

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models cites this paper.

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 79

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:05:49.307471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2de3a85a-d2d3-47d3-a1ef-2c1cef1e4394 · inbound

Condensation Transition in Entropy-Constrained Probability Spaces cites this paper.

Condensation Transition in Entropy-Constrained Probability Spaces Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:41:17.619552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0e3b5849-a284-49d8-b0b0-6e5853af632d · inbound

Annotations Mitigate Post-Training Mode Collapse cites this paper.

Annotations Mitigate Post-Training Mode Collapse Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:46:51.750366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fda33fd7-8412-4f38-a80a-4df83223aad6 · inbound

DeepL\'evy: Learning Heavy-Tailed Uncertainty in Highly Volatile Time Series cites this paper.

DeepL\'evy: Learning Heavy-Tailed Uncertainty in Highly Volatile Time Series Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:31:24.003120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4f6a394f-3184-4b20-ba68-9a7cdd2f7e6e · inbound

DeepL\'evy: Learning Heavy-Tailed Uncertainty in Highly Volatile Time Series cites this paper.

DeepL\'evy: Learning Heavy-Tailed Uncertainty in Highly Volatile Time Series Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:12:22.698778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5fd11d07-363e-4262-97e0-100e8865ae67 · inbound

DeepL\'evy: Learning Heavy-Tailed Uncertainty in Highly Volatile Time Series cites this paper.

DeepL\'evy: Learning Heavy-Tailed Uncertainty in Highly Volatile Time Series Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-15T05:05:01.972155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 489a49f8-2222-47e0-875a-3d4a54955011 · inbound

UniAlign: A Model-Agnostic Framework for Robust Network Traffic Classification under Distribution Shifts cites this paper.

UniAlign: A Model-Agnostic Framework for Robust Network Traffic Classification under Distribution Shifts Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-20T13:33:18.939417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1640c985-2f29-4af1-9a6c-bcc073c817a1 · inbound

Genetic Programming with Transformer-Based Mutation for Approximate Circuit Design cites this paper.

Genetic Programming with Transformer-Based Mutation for Approximate Circuit Design Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-21T01:39:22.716893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1630ab26-6259-43f1-8c2f-f0e17545fb58 · inbound

Balancing Multimodal Learning through Label Space Reshaping cites this paper.

Balancing Multimodal Learning through Label Space Reshaping Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-06-30T16:24:55.624547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e2d2c1d4-cdd6-4dcb-a5e1-f4e7e7a77121 · inbound

FedLAS: Feature-Modulated Bidirectional Label Smoothing for Neural Network Calibration cites this paper.

FedLAS: Feature-Modulated Bidirectional Label Smoothing for Neural Network Calibration Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T09:24:32.312042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e4a1dd37-5ec9-4fbd-b3c0-fde983d43394 · inbound

When Calibration Rankings Reverse: Accuracy-Controlled Evaluation for Fair Comparison of LLMs cites this paper.

When Calibration Rankings Reverse: Accuracy-Controlled Evaluation for Fair Comparison of LLMs Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 127

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T12:15:43.666631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b438801c-8c28-4e93-b42f-ee646b7870a9 · inbound

Beyond Independent Labels: Schwartz-Geometry Decoding for Human Value Detection cites this paper.

Beyond Independent Labels: Schwartz-Geometry Decoding for Human Value Detection Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-11T09:33:35.611992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78af3e37-fbf5-486c-96b9-f4205ec2a98b · inbound

ADS-C: Antidistillation Sampling for Classification cites this paper.

ADS-C: Antidistillation Sampling for Classification Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-01T23:20:44.623823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.