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Paper Citation Record · LEDGER

PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors

As of 9 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.18422.

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

pith.paper-citation-record.v1
2607.18422 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:35:25.936760Z

measured 15 of 15 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 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

15 of 15 outbound references displayed

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  • unresolved15
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e63aa1f-f676-45b0-8a7e-0acb0f9824dc · outbound

This paper cites Understanding and inverse design of implicit bias in stochastic learning: a geometric perspective.

PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors Understanding and inverse design of implicit bias in stochastic learning: a geometric perspective

Reference 1

Resolution
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no resolver link, observed 2026-08-01T15:35:24.756492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:35:24.756492Z digest=sha256:ef9b72f4baf93423fd45354655e6e42489453ebf9c9c988c14fec5a695b6af29

Observation bba359f4-e947-4753-9606-1fc1a34c5940 · outbound

This paper cites Parameter Symmetry Potentially Unifies Deep Learning Theory.

PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors Parameter Symmetry Potentially Unifies Deep Learning Theory

Reference 2

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no resolver link, observed 2026-08-01T15:35:24.823836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:35:24.823836Z digest=sha256:5f8fa6418aac7c9c8e2a15be1820808c22395d6bf1c353b3cef1529cc62be2fc

Observation 8e9e472c-d231-4930-b956-4efe3faa8b09 · outbound

This paper cites Some pac-bayesian theorems.

PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors Some pac-bayesian theorems

Reference 3

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no resolver link, observed 2026-08-01T15:35:24.908390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:35:24.908390Z digest=sha256:6b79dddbe47e514c4da45d9ad7470e8c32aaeb3c7c5e77bd67615aeb2653a106

Observation 96130cd1-79ec-4e4d-903f-ef6c2f2545ab · outbound

This paper cites A PAC-Bayesian Tutorial with A Dropout Bound.

PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors A PAC-Bayesian Tutorial with A Dropout Bound

Reference 4

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no resolver link, observed 2026-08-01T15:35:24.979316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:35:24.979316Z digest=sha256:8e53be285b77cf1868515c36e27b0460a5fe4959ec778e593e8cd29cf77f11f0

Observation f4f827f3-4962-4ce7-b145-a346ea952806 · outbound

This paper cites PAC-Bayesian stochastic model selection.

PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors PAC-Bayesian stochastic model selection

Reference 5

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no resolver link, observed 2026-08-01T15:35:25.136960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:35:25.136960Z digest=sha256:344958966365dfdf0ace7160ff2605abe92ef2a740f2854e24bf88cbc802528f

Observation a135caa6-032e-4e9b-9cd9-606d602acc77 · outbound

This paper cites On the Benefits of Invariance in Neural Networks.

PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors On the Benefits of Invariance in Neural Networks

Reference 6

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no resolver link, observed 2026-08-01T15:35:25.250224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:35:25.250224Z digest=sha256:9e5a6054ed61f0aa46b86c082aee62b38686652c8ac9de6a92f9d2b05894c745

Observation a5d3ab07-ebb5-4a90-81e0-5fd8823f49fb · outbound

This paper cites PAC-Bayesian generalisation error boundsforGaussianprocessclassification.

PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors PAC-Bayesian generalisation error boundsforGaussianprocessclassification

Reference 7

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no resolver link, observed 2026-08-01T15:35:25.328253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:35:25.328253Z digest=sha256:e51e10077c7a90e1649e62bfba89777dbf70bd5839e4260a7230cec5399ce794

Observation c838f53c-dcc0-4b4d-b761-d8dca99ebf00 · outbound

This paper cites Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning.

PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning

Reference 8

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no resolver link, observed 2026-08-01T15:35:25.411820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:35:25.411820Z digest=sha256:3af6dd379799d692157069a21a509b664608c6acf0d69aba0382877d7bf008f2

Observation 6678b2e2-be3e-4664-a134-022c79e14a5c · outbound

This paper cites On the properties of variational approximations of Gibbs posteriors.

PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors On the properties of variational approximations of Gibbs posteriors

Reference 9

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no resolver link, observed 2026-08-01T15:35:25.486471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:35:25.486471Z digest=sha256:7b7c8d77d057b8c5a0790c1e68cc1c19d033962ded096c0fdeaf89964c3fce41

Observation f54d1269-b11c-4bee-b03b-19b59d49a310 · outbound

This paper cites Improved PAC-Bayesian bounds for linear regression.

PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors Improved PAC-Bayesian bounds for linear regression

Reference 10

Resolution
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no resolver link, observed 2026-08-01T15:35:25.571818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:35:25.571818Z digest=sha256:cb77f3c624ad3608645df36d970b33816e5a422238568ef17d3826ed50e6a915

Observation 13b5412d-6cee-48d7-8720-2d3ccf0b8172 · outbound

This paper cites Symmetry in neural network parameter spaces.

PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors Symmetry in neural network parameter spaces

Reference 11

Resolution
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no resolver link, observed 2026-08-01T15:35:25.627734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:35:25.627734Z digest=sha256:1b498bb527ee87f7fbc7937928a3b011d2c60fed761fe41f24e605affa5c6a22

Observation 27cbe6cc-3b1e-4900-b7fe-ef4c44e80a2f · outbound

This paper cites Geometry of the loss landscape in overparameterized neural networks: Symmetries and invariances.

PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors Geometry of the loss landscape in overparameterized neural networks: Symmetries and invariances

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T15:35:25.716523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:35:25.716523Z digest=sha256:8105dbf3cfa6507bcb563eac66592885e33e4caa0de55d9ccb625b2075f7ed59

Observation 327017e2-4b98-4a40-aa0f-8d33065c11d2 · outbound

This paper cites Improving convergence and general- ization using parameter symmetries.

PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors Improving convergence and general- ization using parameter symmetries

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T15:35:25.784286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:35:25.784286Z digest=sha256:6a3489245c5f6cce6e1110fd9b84e2baae9430b6f162ec57fd21d8bc4112bf85

Observation 40f6e9ae-ac59-4f48-9c37-242115a065f3 · outbound

This paper cites On the symmetries of deep learning models and their internal representations.

PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors On the symmetries of deep learning models and their internal representations

Reference 14

Resolution
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no resolver link, observed 2026-08-01T15:35:25.867649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:35:25.867649Z digest=sha256:3063af0afb901b41872f55c28222fa7a550cee72c66b62942eea3a2ab7283742

Observation 50a90510-6290-4940-abd3-6bfc49482b21 · outbound

This paper cites Symmetries in PAC-Bayesian Learning.

PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors Symmetries in PAC-Bayesian Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T15:35:25.936760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:35:25.936760Z digest=sha256:8a1a2c62dc1390793c1eaa81462f3059d5e2a71d705a528788a2308cbae11ff6

Pith citing papers

No inbound Pith citation observations are available.