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Paper Citation Record · LEDGER

Deep Learning without Poor Local Minima

As of 10 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 2026-08-10T06:31:04.303077+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:ad3722d4a1421bbc1fbc41127610db40115ad447c5629ede5c387077f2f2fc74

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:f931aaa00659df5c22f4d7bd00f015b938a762c3cea450d445bf9092de4da84d

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:b46eb4a347c376badde468aa7961c9111289012d867836d78e70355e7cd27f9a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-02T22:35:22.120498Z digest=sha256:b6bca052814bd17a66ecf6f26fd2fe6b4a5d5c08757e704911657c4ffaa0cfe5

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T15:35:51.654392Z digest=sha256:24672a215d0150f5a4b2c36987eaf9f24a2582ead1c222e2edc4d0b795c120c0

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-02T21:51:13.457071Z digest=sha256:4dc46a7511dd947e3fda28c9a9e2c10051579f43f6c4cc05ab29a887eb63066c

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=sha256:8f7e649fbbb0d14e2d86935beafaef87f4f5a06f7eaad97f39c16730b2d8be91