Paper Citation Record · LEDGER

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights

As of 11 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2606.28444.

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

pith.paper-citation-record.v1
2606.28444 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T01:23:10.836955Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact9
verified fuzzy0
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 19e34d8e-1c04-4e6c-840f-b9522a924b02 · outbound

This paper cites IEEE Transactions on Information Theory39(3), 930–945 (1993).https: //doi.org/10.1109/18.2565003.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights IEEE Transactions on Information Theory39(3), 930–945 (1993).https: //doi.org/10.1109/18.2565003

Reference 1

Resolution: verified exact; doi, observed 2026-06-30T01:24:08.007325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b34279fe-a492-415b-9a1f-1660b03d35ba · outbound

This paper cites Information gain-based policy op- timization for multi-turn LLM agents.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights Information gain-based policy op- timization for multi-turn LLM agents

Reference 2

Resolution: metadata mismatch; doi, observed 2026-06-30T01:24:08.004276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1b6ac114-6d55-436c-80be-f4d178452c9c · outbound

This paper cites Mathe- matics of Control, Signals and Systems2(4), 303–314 (1989).https://doi.org/ 10.1007/BF025512741, 3.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights Mathe- matics of Control, Signals and Systems2(4), 303–314 (1989).https://doi.org/ 10.1007/BF025512741, 3

Reference 3

Resolution: verified exact; doi, observed 2026-06-30T01:24:08.013070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 28570664-4259-4519-b851-343c453c76e6 · outbound

This paper cites In: International Conference on Learning Representations (2021) 11.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights In: International Conference on Learning Representations (2021) 11

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-30T01:23:10.836955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24827780-4a4a-4197-bac7-dc069f276ee4 · outbound

This paper cites Neural Networks2(3), 183–192 (1989).https://doi.org/10.1016/ 0893-6080(89)90003-83.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights Neural Networks2(3), 183–192 (1989).https://doi.org/10.1016/ 0893-6080(89)90003-83

Reference 5

Resolution: malformed identifier; no resolver link, observed 2026-06-30T01:23:10.836955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abc2a374-aaa7-4814-8b14-79297dc242e6 · outbound

This paper cites In: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights In: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-30T01:23:10.836955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db81e6d1-c7ab-4d1f-9547-1443150af26a · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-30T01:23:10.836955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4a2db7e-628c-4a1b-82a5-5b45222264d1 · outbound

This paper cites Neural Networks4(2), 251–257 (1991) https://doi.org/10.1016/0893-6080(91) 90009-T.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights Neural Networks4(2), 251–257 (1991) https://doi.org/10.1016/0893-6080(91) 90009-T

Reference 8

Resolution: verified exact; doi, observed 2026-06-30T01:24:08.028948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 135f822a-d75b-4125-b088-e0d144f2e990 · outbound

This paper cites Neural Networks2(5), 359–366 (1989).https://doi.org/ 10.1016/0893-6080(89)90020-83.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights Neural Networks2(5), 359–366 (1989).https://doi.org/ 10.1016/0893-6080(89)90020-83

Reference 9

Resolution: verified exact; doi, observed 2026-06-30T01:24:08.016028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0e8b0d47-38a9-491b-8e4e-369213288642 · outbound

This paper cites Springer, 2 edn.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights Springer, 2 edn

Reference 10

Resolution: verified exact; doi, observed 2026-06-30T01:24:08.022325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 766ac6e8-acc8-41ee-8c6a-a0a52911c649 · outbound

This paper cites In: Interna- tional Conference on Learning Representations (2015),https://arxiv.org/abs/ 1412.69807.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights In: Interna- tional Conference on Learning Representations (2015),https://arxiv.org/abs/ 1412.69807

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:25:48.896572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c3f87010-5d5f-43ce-aaa5-36cf8972e5e7 · outbound

This paper cites an unresolved cited work.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-30T01:23:10.836955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d9cdda9-c262-42d3-8046-095e9cd99ad4 · outbound

This paper cites Proceedings of the IEEE86(11), 2278–2324 (1998).https: //doi.org/10.1109/5.7267917, 11.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights Proceedings of the IEEE86(11), 2278–2324 (1998).https: //doi.org/10.1109/5.7267917, 11

Reference 13

Resolution: verified exact; doi, observed 2026-06-30T01:24:08.019329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation af8d5f0d-61c5-40cf-8aeb-f9eab2f4c6a5 · outbound

This paper cites an unresolved cited work.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-30T01:23:10.836955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2eb624fa-e895-411f-9157-a69ad8a05369 · outbound

This paper cites doi: 10.1016/S0893-6080(05) 80125-X.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights doi: 10.1016/S0893-6080(05) 80125-X

Reference 15

Resolution: verified exact; doi, observed 2026-06-30T01:24:08.010106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f1af32d1-5d51-4ad0-b11c-0f56eed858c7 · outbound

This paper cites an unresolved cited work.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-30T01:23:10.836955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cfef02e-15d2-413b-9363-55c3eda0ff3a · outbound

This paper cites Acta Numerica8, 143–195 (1999).https://doi.org/10.1017/S09624929000029193.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights Acta Numerica8, 143–195 (1999).https://doi.org/10.1017/S09624929000029193

Reference 17

Resolution: verified exact; doi, observed 2026-06-30T01:24:08.025683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 17f953e8-1eb7-4e53-a9e8-d6a0aab63e75 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T15:25:48.900302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 18b5d547-8c4e-4328-93ed-8095126fe57c · outbound

This paper cites In: Proceedings of the 35th International Conference on Machine Learning.

S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights In: Proceedings of the 35th International Conference on Machine Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-30T01:23:10.836955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.