Paper Citation Record · LEDGER

Emergent properties of the local geometry of neural loss landscapes

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:1910.05929.

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

pith.paper-citation-record.v1
1910.05929 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:15:54.827258Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T16:57:24.480526Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 2fed587c-cbae-4111-80ca-94fc8cad950a · inbound

You Are What You Eat -- AI Alignment Requires Understanding How Data Shapes Structure and Generalisation cites this paper.

You Are What You Eat -- AI Alignment Requires Understanding How Data Shapes Structure and Generalisation Emergent properties of the local geometry of neural loss landscapes

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-08T19:15:54.827258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a56633bb-5f6a-4993-a68f-7905f02e0769 · inbound

Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models cites this paper.

Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models Emergent properties of the local geometry of neural loss landscapes

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:27.856171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcf15b41-4805-40ff-a453-913eb974f0df · inbound

Grokking as Dimensional Phase Transition in Neural Networks cites this paper.

Grokking as Dimensional Phase Transition in Neural Networks Emergent properties of the local geometry of neural loss landscapes

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:45:51.176265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f4c7ec9-0729-49e4-ac3f-61fc23847565 · inbound

Dimensional Criticality at Grokking Across MLPs and Transformers cites this paper.

Dimensional Criticality at Grokking Across MLPs and Transformers Emergent properties of the local geometry of neural loss landscapes

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:00:50.619745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 968c09e5-ccb2-42da-92d6-f5ba27f646a4 · inbound

Hessian Surgery: Class-Targeted Post-Hoc Rebalancing via Hessian Spike Perturbation cites this paper.

Hessian Surgery: Class-Targeted Post-Hoc Rebalancing via Hessian Spike Perturbation Emergent properties of the local geometry of neural loss landscapes

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:40:53.828143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4afdaee2-c6e0-4e35-9d32-3c8ee9ba47b5 · inbound

Hessian Surgery: Class-Targeted Post-Hoc Rebalancing via Hessian Spike Perturbation cites this paper.

Hessian Surgery: Class-Targeted Post-Hoc Rebalancing via Hessian Spike Perturbation Emergent properties of the local geometry of neural loss landscapes

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:59:11.904609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 71820abe-ddf8-4d94-8168-d32009de5d7a · inbound

Comparing Classical Simulation and Sample-Based Learning of Quantum Systems cites this paper.

Comparing Classical Simulation and Sample-Based Learning of Quantum Systems Emergent properties of the local geometry of neural loss landscapes

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:23:21.841533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a2971a6f-271f-421f-b7a0-fb176de8a2bf · inbound

Comparing Classical Simulation and Sample-Based Learning of Quantum Systems cites this paper.

Comparing Classical Simulation and Sample-Based Learning of Quantum Systems Emergent properties of the local geometry of neural loss landscapes

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T12:58:10.753603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb4c78ab-fee9-41ce-9164-9d4f051c6884 · inbound

Why Muon Outperforms Adam: A Curvature Perspective cites this paper.

Why Muon Outperforms Adam: A Curvature Perspective Emergent properties of the local geometry of neural loss landscapes

Reference 141

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:06:44.958570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 32271986-c7de-444b-ac7c-078201942b5c · inbound

The Stable Recovery Manifold: Geometric Principles Governing Recoverability in Continual Learning cites this paper.

The Stable Recovery Manifold: Geometric Principles Governing Recoverability in Continual Learning Emergent properties of the local geometry of neural loss landscapes

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:08:21.622705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d6c98d9-f6e5-4f25-b058-b835bb2a73f6 · inbound

Characterizing Optimizer-Dependent Training Dynamics Through Hessian Eigenvector Displacement and Localization cites this paper.

Characterizing Optimizer-Dependent Training Dynamics Through Hessian Eigenvector Displacement and Localization Emergent properties of the local geometry of neural loss landscapes

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T07:54:21.732763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e572933c-cd91-44a7-bdc8-b982538b572a · inbound

Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks cites this paper.

Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks Emergent properties of the local geometry of neural loss landscapes

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-10T16:57:24.481933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.