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Paper Citation Record · LEDGER

How to Escape Saddle Points Efficiently

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1703.00887.

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

pith.paper-citation-record.v1
1703.00887 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:28:38.844152Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T14:49:54.831935Z

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 aa9850bc-4567-4dd4-8add-b0bff135a34c · inbound

Adaptive Federated Optimization cites this paper.

Adaptive Federated Optimization How to Escape Saddle Points Efficiently

Reference 175

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T10:30:58.910995Z

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=2026-05-21T10:30:58.601351Z digest=sha256:1b1816824e845f59e4cfa2c42305c6c1f63f4ca3fbd656bfade9918ac7fb6b69

Observation 6ea716f9-7589-474c-a234-2b48c74d34bb · inbound

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models cites this paper.

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models How to Escape Saddle Points Efficiently

Reference 61

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T23:00:21.312793Z

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=2026-05-14T23:00:20.720030Z digest=sha256:2219e26ef29a655bc73d3f91677675214dc89f73f6286500afda607527183c90

Observation 036daa23-8033-43f8-96e3-988c9a57e8b5 · inbound

A Theory of Saddle Escape in Deep Nonlinear Networks cites this paper.

A Theory of Saddle Escape in Deep Nonlinear Networks How to Escape Saddle Points Efficiently

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:51:05.647634Z

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=2026-05-09T14:54:47.763122Z digest=sha256:7be6261ea91458d3851794c65ae81d81b16828d337fdae0685c91fb99305b95b

Observation 97eafa7e-df38-48e6-a2b0-41497f686d0c · inbound

A Theory of Saddle Escape in Deep Nonlinear Networks cites this paper.

A Theory of Saddle Escape in Deep Nonlinear Networks How to Escape Saddle Points Efficiently

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:25:54.537896Z

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=2026-05-11T02:22:38.751375Z digest=sha256:5c66dbb62e5bc59224a85d41d246ae845e6620262ce039318efe2a89420742e2

Observation 59aa1c52-9235-4796-a26a-79c30a1481c1 · inbound

A Theory of Saddle Escape in Deep Nonlinear Networks cites this paper.

A Theory of Saddle Escape in Deep Nonlinear Networks How to Escape Saddle Points Efficiently

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-07-01T00:45:12.060298Z

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=2026-07-01T00:37:16.364388Z digest=sha256:de6c7894e9a7111e689b5cc87ea9b903fb837a728387b94c9aecd9e8ce34da80

Observation 16620d68-01b8-46f6-8c52-e69ab571c383 · inbound

Dimension-Free Saddle-Point Escape in Muon cites this paper.

Dimension-Free Saddle-Point Escape in Muon How to Escape Saddle Points Efficiently

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:01:26.483521Z

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=2026-05-12T04:38:25.480020Z digest=sha256:aba62d5e5e032ec3851b677b4ab83f9d7b26f7beafbe25a77494eca483e1addc

Observation 1bda443e-862e-4546-baed-207947231d5b · inbound

A Theory on Flow Matching with Neural Networks cites this paper.

A Theory on Flow Matching with Neural Networks How to Escape Saddle Points Efficiently

Reference 88

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T00:57:29.402750Z

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=2026-06-27T16:59:34.084575Z digest=sha256:42f89cea0fb615f83fa8565752941f40dbfb1618575af41df4352130d461ec66

Observation e7c79051-c2e8-4de1-bebe-1144e28de3b6 · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization How to Escape Saddle Points Efficiently

Reference 59

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T05:39:40.942565Z

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=sha256:6c0a371c84aecead7d4f303d35eb3389fb49a8580773fa43005379793050408c

Observation 9f65270f-0099-4246-a4e0-aca4444fc396 · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization How to Escape Saddle Points Efficiently

Reference 58

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T21:57:25.621888Z

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=sha256:9c9ffdd085f075ef262503d07709ea6924e5dc1cdbaec8caf36181c1520bcf01

Observation 50e00349-e7da-48c7-a65f-b07fda0fcc05 · inbound

Estimation of High Dimensional Bounded Discrete Graphical Models via Regularized Generalized Score Matching cites this paper.

Estimation of High Dimensional Bounded Discrete Graphical Models via Regularized Generalized Score Matching How to Escape Saddle Points Efficiently

Reference 220

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T14:49:54.833435Z

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=2026-06-26T02:36:28.490582Z digest=sha256:34d714c226c6c364594ce34b220e26d0212decf19130f3b764310179f72b2385

Observation 2bb6deb3-3d9a-4e71-9590-c304a950d3b1 · inbound

NeuralChaos: Optimal Adapted Approximation of Square Integrable Predictable Processes cites this paper.

NeuralChaos: Optimal Adapted Approximation of Square Integrable Predictable Processes How to Escape Saddle Points Efficiently

Reference 182

Resolution
unresolved
no resolver link, observed 2026-08-02T02:28:38.844152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:28:38.844152Z digest=sha256:18180f1eeea2236e2c023f02d02f04a55ea4d7dc3f56134bab32c12a64b51a1e