Paper Citation Record · LEDGER

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry

As of 19 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2608.10374.

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

pith.paper-citation-record.v1
2608.10374 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:25:19.454721Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

45 of 45 outbound references displayed

verified exact0
verified fuzzy34
unresolved10
parse uncertain1
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f6d5b4c0-edbd-46b7-a5a1-20aa50521c35 · outbound

This paper cites Natural gradient works efficiently in learning.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Natural gradient works efficiently in learning

Reference 1

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Observation 76e6ede1-7ad2-45f7-80ff-cbf7537dc362 · outbound

This paper cites Weight uncertainty in neural networks.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Weight uncertainty in neural networks

Reference 2

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Observation dd495ceb-653a-462c-9e38-d33f3d2e8ee2 · outbound

This paper cites Correlated input-dependent label noise in large-scale image classification.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Correlated input-dependent label noise in large-scale image classification

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:20.099815Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3d2d35f7-ae4a-4e5a-86e9-e49ea65e2c80 · outbound

This paper cites Laplace redux--effortless bayesian deep learning.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Laplace redux--effortless bayesian deep learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:20.084373Z

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Observation cffa87dd-76c6-471e-8063-38dc5772c495 · outbound

This paper cites UCI machine learning repository, 2017.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry UCI machine learning repository, 2017

Reference 5

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Observation 7f8e3d42-9c52-4ef1-ace0-588712048c02 · outbound

This paper cites NeurIPS 2025 weak lensing uncertainty challenge.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry NeurIPS 2025 weak lensing uncertainty challenge

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:20.058426Z

Source-reported events for the cited work

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Observation adc9d701-a6d3-433c-b2ea-fa1b4e71e9b7 · outbound

This paper cites Dropout as a B ayesian approximation: Representing model uncertainty in deep learning.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Dropout as a B ayesian approximation: Representing model uncertainty in deep learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:20.042803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a31ae231-2895-4797-b954-50f1feebd384 · outbound

This paper cites Practical variational inference for neural networks.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Practical variational inference for neural networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:20.027185Z

Source-reported events for the cited work

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Observation 3f5d7ecf-ec88-41be-985c-23faefc1bc31 · outbound

This paper cites Probabilistic backpropagation for scalable learning of bayesian neural networks.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Probabilistic backpropagation for scalable learning of bayesian neural networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:20.011017Z

Source-reported events for the cited work

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Observation b7c1d963-9598-442a-9daf-bf18452fbd87 · outbound

This paper cites an unresolved cited work.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:19.995569Z

Source-reported events for the cited work

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Observation 7208db75-e2b6-4f63-a724-cb4b6573bc02 · outbound

This paper cites Kingma and Jimmy Ba.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Kingma and Jimmy Ba

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.980134Z

Source-reported events for the cited work

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Observation bb8f0b03-dafe-49df-b6d2-b934776fc1ad · outbound

This paper cites Being bayesian, even just a bit, fixes overconfidence in relu networks.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Being bayesian, even just a bit, fixes overconfidence in relu networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.965376Z

Source-reported events for the cited work

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Observation 5abb561d-9ed4-4bba-b85e-c378fb1ac0ce · outbound

This paper cites Limitations of the empirical Fisher approximation for natural gradient descent.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Limitations of the empirical Fisher approximation for natural gradient descent

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.950508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a0788f15-81ae-4f51-9016-99f1821c2e2b · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 15

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Source-reported events for the cited work

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Observation 6b548ee1-6496-46ad-8d6f-8619835c72b7 · outbound

This paper cites New insights and perspectives on the natural gradient method.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry New insights and perspectives on the natural gradient method

Reference 16

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Source-reported events for the cited work

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Observation 2ab8baa2-973f-48c8-bd47-08e9038ddfea · outbound

This paper cites Optimizing neural networks with kronecker-factored approximate curvature.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Optimizing neural networks with kronecker-factored approximate curvature

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.917128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 24a68600-23cf-42be-a258-8b9ff9721c55 · outbound

This paper cites Stable optimization of G aussian likelihoods.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Stable optimization of G aussian likelihoods

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.902791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9304b326-0b10-415c-a6db-ee79faf50ab9 · outbound

This paper cites Nix and Andreas S.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Nix and Andreas S

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.888404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7a36062e-0323-4af9-b501-6a2fd5f3c31f · outbound

This paper cites On the pitfalls of heteroscedastic uncertainty estimation with probabilistic neural networks.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry On the pitfalls of heteroscedastic uncertainty estimation with probabilistic neural networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.874108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 20eb15d2-1928-40c6-9282-ccbb7e5ed20e · outbound

This paper cites Sanjana, and David A.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Sanjana, and David A

Reference 21

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Source-reported events for the cited work

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Observation f2d65120-e8ae-434c-8dab-ee1cefedfffa · outbound

This paper cites Latent derivative bayesian last layer networks.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Latent derivative bayesian last layer networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.844810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 398153df-910c-4845-b00e-753f944af6a0 · outbound

This paper cites Understanding pathologies of deep heteroskedastic regression.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Understanding pathologies of deep heteroskedastic regression

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.829480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2c5e65ca-d4b2-4c13-b520-930cca07145c · outbound

This paper cites Nix and Andreas S.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Nix and Andreas S

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.814551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c07f66e2-0ef5-4cb3-bf12-ae39bc19bd32 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry International Conference on Learning Representations (ICLR) , year =

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.799760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e4dbe7fe-cba0-4b05-9401-3a2691d4cc04 · outbound

This paper cites Advances in Neural Information Processing Systems , pages =.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Advances in Neural Information Processing Systems , pages =

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.784586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 57ac8073-c771-47b2-a9e3-a6de41d90b15 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.768697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 17df94fb-53d2-48fa-93c8-d524888d510c · outbound

This paper cites Dropout as a.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Dropout as a

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.752393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4f1465c0-90e0-4311-8017-189058d43e76 · outbound

This paper cites Stable Optimization of.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Stable Optimization of

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.737467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 16807557-0fd0-4b72-a310-aba425ae60cf · outbound

This paper cites Proceedings of the 26th International Conference on Artificial Intelligence and Statistics , year =.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Proceedings of the 26th International Conference on Artificial Intelligence and Statistics , year =

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.722268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0134a8ac-cac2-44f3-adfa-bc44c6d4f180 · outbound

This paper cites Proceedings of the 40th Conference on Uncertainty in Artificial Intelligence (UAI) , year =.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Proceedings of the 40th Conference on Uncertainty in Artificial Intelligence (UAI) , year =

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.707125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 18a9c8de-7eea-4f6b-8d69-a057ea6ec5fb · outbound

This paper cites International Conference on Machine Learning , pages =.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry International Conference on Machine Learning , pages =

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.692195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d03d5abc-c76e-4b61-8356-af964900569d · outbound

This paper cites Neural Computation , volume =.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Neural Computation , volume =

Reference 33

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Source-reported events for the cited work

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Observation 6202194c-100a-4e05-b0e1-de3fe0915cb9 · outbound

This paper cites International Conference on Machine Learning , pages =.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry International Conference on Machine Learning , pages =

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.667079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 30f8a517-f213-46a3-9f7e-b32c7fce9819 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Advances in Neural Information Processing Systems , volume =

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.651545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9199120d-d8bf-4747-8ba9-c1d0f020dfd5 · outbound

This paper cites International Conference on Machine Learning , pages =.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry International Conference on Machine Learning , pages =

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.635352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 00b73ee8-5eff-4f6b-bd4e-dde52daeaf25 · outbound

This paper cites International Conference on Machine Learning , pages =.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry International Conference on Machine Learning , pages =

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.620235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1a2cded4-1bf8-470c-b143-8a2ddd644bd2 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Advances in Neural Information Processing Systems , volume =

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.604820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e596b6e-e973-4cbc-908a-f287bc8b845d · outbound

This paper cites Journal of Machine Learning Research , volume =.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Journal of Machine Learning Research , volume =

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.589998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9a7312f0-4b04-4e37-8650-c18ef9c98b44 · outbound

This paper cites Proceedings of the 24th International Conference on Artificial Intelligence and Statistics , pages =.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Proceedings of the 24th International Conference on Artificial Intelligence and Statistics , pages =

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.574668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a3af9887-62ac-416a-9747-7bb22d26d658 · outbound

This paper cites UCI Machine Learning Repository.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry UCI Machine Learning Repository

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T14:25:19.430504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f969ff9-9de1-467c-b6db-d1da06cb4830 · outbound

This paper cites an unresolved cited work.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Unresolved cited work

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c74c6668-12f9-4d28-9fa0-509c2b683994 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.540525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 73a787ac-c2f0-45ea-891a-ada62cd02347 · outbound

This paper cites and Ba, Jimmy , title =.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry and Ba, Jimmy , title =

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T14:25:19.445445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0398e5a-0657-47d8-a5cd-976affa008ae · outbound

This paper cites FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T14:25:19.449857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a025ef0-5d33-4647-879d-c757e131edc0 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry Advances in Neural Information Processing Systems , volume =

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:19.515522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.