Pith. sign in

Paper Citation Record · LEDGER

Deep Learning without Poor Local Minima

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1605.07110.

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

pith.paper-citation-record.v1
1605.07110 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:39:40.779106Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T05:39:40.930328Z

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 af597a32-91cb-491b-aec3-8110935ddad2 · inbound

Scalable and Interpretable Verification of Image-based Neural Network Controllers for Autonomous Vehicles cites this paper.

Scalable and Interpretable Verification of Image-based Neural Network Controllers for Autonomous Vehicles Deep Learning without Poor Local Minima

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T15:39:40.779106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:39:40.779106Z digest=sha256:433c6ae26b61151c4b40a479f38948f47901a5b10de6fcbe6672035438d994c1

Observation 4179fc1e-5a88-4eb9-ad7a-5ceed14ee473 · inbound

Impact of Bottleneck Layers and Skip Connections on the Generalization of Linear Denoising Autoencoders cites this paper.

Impact of Bottleneck Layers and Skip Connections on the Generalization of Linear Denoising Autoencoders Deep Learning without Poor Local Minima

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:45.434063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:45.434063Z digest=sha256:22fe70204d1a2a4ced6dcf46f4f7f4c9a7e7da8496b5be9755159a6bd577bbeb

Observation 0e306802-bb5e-4b8f-945f-b393a78005f6 · inbound

Deep learning inference with the Event Horizon Telescope II. The Zingularity framework for Bayesian artificial neural networks cites this paper.

Deep learning inference with the Event Horizon Telescope II. The Zingularity framework for Bayesian artificial neural networks Deep Learning without Poor Local Minima

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-07T00:33:48.052207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:33:48.052207Z digest=sha256:c2720130967932f53e046da8d4eb04e387edfa199bcd5a3977a1a0640c048e7a

Observation ef0d66cc-a0f5-4398-af0f-49f17c0b2b51 · inbound

Absence of poor local minima in matrix product states cites this paper.

Absence of poor local minima in matrix product states Deep Learning without Poor Local Minima

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:37:25.357299Z

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=arxiv_source observed=2026-07-02T22:35:22.120498Z digest=sha256:025070ade8d87e03799f0318cc45e7b5875328a2384cd37d2c0a042fa5f8dedc

Observation 9cb02899-58a3-4e38-8ea6-4cfbf4d679c9 · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Deep Learning without Poor Local Minima

Reference 58

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T05:39:40.932248Z

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=arxiv_source observed=2026-06-26T15:35:51.654392Z digest=sha256:e4827c9c4ccab236d9c15232b075b0923eda694db7795952675883ce1787017c

Observation 9e11da03-6281-48ea-8cae-e6bd828904d4 · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Deep Learning without Poor Local Minima

Reference 57

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T21:57:25.602882Z

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=arxiv_source observed=2026-07-02T21:51:13.457071Z digest=sha256:ad84296063ba516a9d0ff197b53015e0a0d4a231e869f9cc9c41807849df3c3d

Observation 2f1554e1-502f-436f-9da8-b73c8c063455 · inbound

Landscape analysis for shallow neural networks: Complete classification of critical points for cubic activation and affine target functions cites this paper.

Landscape analysis for shallow neural networks: Complete classification of critical points for cubic activation and affine target functions Deep Learning without Poor Local Minima

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T00:02:20.796706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T00:02:20.796706Z digest=sha256:6fa0d40903725bf56bc6a31aab0c2b53c86d797fed6a0914fe668e997fb820cb