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Paper Citation Record · LEDGER

A Note on the PAC Bayesian Theorem

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:cs/0411099.

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

pith.paper-citation-record.v1
cs/0411099 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:33:41.760441Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T20:46:13.534035Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • 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 49429d1d-84f4-4edf-9864-d43bc58c7338 · inbound

PAC-Bayes with Backprop cites this paper.

PAC-Bayes with Backprop A Note on the PAC Bayesian Theorem

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-14T12:41:04.422363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:41:04.422363Z digest=sha256:97a06911ccd7e108496aaa40d5ae91d20926203f5afe349eef5814256e1de911

Observation 2eb50471-512d-4ec2-bd46-e757d447d82a · inbound

Federated Learning with Nonvacuous Generalisation Bounds cites this paper.

Federated Learning with Nonvacuous Generalisation Bounds A Note on the PAC Bayesian Theorem

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:14:00.202265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-24T06:09:45.249831Z digest=sha256:8ac394121ad6695d4c297839216cc025de2c7d7e68f7eaa66fc4e6650f8a05f3

Observation 4bb39a32-6084-454b-8406-ac3c69d73c50 · inbound

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior cites this paper.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior A Note on the PAC Bayesian Theorem

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-16T10:33:41.760441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:33:41.760441Z digest=sha256:480d466e0a458f4f7a46aa8e0e2e8e9d97c28616ef7e5eec2eca1ad4ee933eef

Observation a6cfe7cc-0d0a-438b-aa63-57a087384d02 · inbound

Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel cites this paper.

Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel A Note on the PAC Bayesian Theorem

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T04:21:45.325079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:45.325079Z digest=sha256:8abf088871ec848dfab69a083d1ef8d1867160a95f9cdbbf999af45d86298357

Observation c87530b5-9d47-4cee-9833-3367f1b7c158 · inbound

Generalization of Gibbs and Langevin Monte Carlo Algorithms in the Interpolation Regime cites this paper.

Generalization of Gibbs and Langevin Monte Carlo Algorithms in the Interpolation Regime A Note on the PAC Bayesian Theorem

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T11:17:47.842158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:17:47.842158Z digest=sha256:144ee4cbd39cab991679aad8ff5d2d7cb674f6a3fdab90ca9ca2f46353cf3ef9

Observation a38a89e7-0495-412a-8ffa-22a987036e7b · inbound

Bound to Disagree: Generalization Bounds via Certifiable Surrogates cites this paper.

Bound to Disagree: Generalization Bounds via Certifiable Surrogates A Note on the PAC Bayesian Theorem

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T20:34:25.168918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:34:25.168918Z digest=sha256:78e049e2e64fbb77a1ad934652e46fac054d5bb1e32abb1a81464b8b85223059

Observation c8969b72-68c8-48ab-bcd5-13c663cd2067 · inbound

Margin-Adaptive Confidence Ranking for Reliable LLM Judgement cites this paper.

Margin-Adaptive Confidence Ranking for Reliable LLM Judgement A Note on the PAC Bayesian Theorem

Reference 229

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T16:07:41.154758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-19T16:05:41.505091Z digest=sha256:10ffc46fb509834bf29360426039558b086ffd5d7cfff5d54fb336408d9deadf

Observation 7698ff82-bcbf-400a-b2d7-2d19cbf3be2c · inbound

Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning cites this paper.

Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning A Note on the PAC Bayesian Theorem

Reference 104

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T15:08:24.784611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-20T15:06:53.377360Z digest=sha256:f22c76c39404ddca20fc62a0b92250572d394f8b07e5179ddec54c90bf4f1dd1

Observation 7dacd3d5-dc6f-435e-ac42-e4e25690def1 · inbound

Pointwise Generalization in Deep Neural Networks cites this paper.

Pointwise Generalization in Deep Neural Networks A Note on the PAC Bayesian Theorem

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T12:38:16.951953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-20T12:34:28.962887Z digest=sha256:6e296d85cd154c5130c66c993cfdb7690aee1ca2104cf9f2b9a87cf9580cac62

Observation c5500e60-9ec2-46f3-82e9-9edd084dec4e · inbound

Sample Complexity and Decision-Theoretic Guarantees for Bayesian Model Averaging over Decision Trees with Catalan-Exponential Priors cites this paper.

Sample Complexity and Decision-Theoretic Guarantees for Bayesian Model Averaging over Decision Trees with Catalan-Exponential Priors A Note on the PAC Bayesian Theorem

Reference 26

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T20:46:13.535388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T17:48:28.551218Z digest=sha256:9aac52f4b4857feb193eb0a340e1e7733a568b17bb4cdfe2eb86785141cce441

Observation bc70cde1-76f8-4234-b610-4f3c5bc5c42f · inbound

PAC-Bayesian Certificates for Quadratic Closed-Loop Control cites this paper.

PAC-Bayesian Certificates for Quadratic Closed-Loop Control A Note on the PAC Bayesian Theorem

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-01T17:55:52.503357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T02:48:00.937356Z digest=sha256:35b7019f0ab9d00e14b75893fb2a451f3dab5b88d168c9936f75119f6a93ad9c

Observation 3de56746-cac2-4539-b387-2753ced87673 · inbound

Statistically Meaningful Geometry (SMG) Beyond the Euclidean Paradigm, with Application to Generative AI cites this paper.

Statistically Meaningful Geometry (SMG) Beyond the Euclidean Paradigm, with Application to Generative AI A Note on the PAC Bayesian Theorem

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-12T03:15:21.102674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T03:15:21.102674Z digest=sha256:3ef034d9b6e26909dc5f751434782c841bae9cbabfc8b8aac04f6137cc375e19

Observation 65a54fce-8b64-4324-9c8e-def3664bff26 · inbound

Beyond Modern Asymptotics for Log-Likelihood Ratios in Logistic Regression cites this paper.

Beyond Modern Asymptotics for Log-Likelihood Ratios in Logistic Regression A Note on the PAC Bayesian Theorem

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T05:58:15.939790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:58:15.939790Z digest=sha256:a5af1364e7389c252ba196d58312ac9129b776a3f6a60ff59c685cdeeaebc80a