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Paper Citation Record · LEDGER

PAC-DP: PAC-Bayesian Diffusion Policy Learning

As of 21 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.24296.

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

pith.paper-citation-record.v1
2607.24296 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T18:58:09.399983Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

32 of 32 outbound references displayed

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External citation measurements

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Outbound references

Observation 3676c6c0-72b6-481f-8cea-af186efda288 · outbound

This paper cites Diffusion models for robotic manipulation: A survey,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Diffusion models for robotic manipulation: A survey,

Reference 1

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Observation 575e92e2-f713-4a21-9fb5-de7fef944ad6 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 2

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source=pdf_text observed=2026-07-31T18:58:09.277993Z digest=sha256:0f9d507b33cf7537136420fd8d436d250292bf222a143035366ea45491191dd5

Observation 563027fc-f6df-4cda-a6cb-f95362e2d92c · outbound

This paper cites A Good Score Does not Lead to A Good Generative Model.

PAC-DP: PAC-Bayesian Diffusion Policy Learning A Good Score Does not Lead to A Good Generative Model

Reference 3

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Observation 538579e5-9582-4c82-9bf6-dff496e5e73c · outbound

This paper cites Why diffusion models don’t memorize: The role of implicit dynamical regularization in training,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Why diffusion models don’t memorize: The role of implicit dynamical regularization in training,

Reference 4

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Observation 7f02b2b2-aedc-470c-912e-6ff21b114f80 · outbound

This paper cites On memorization in diffusion models,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning On memorization in diffusion models,

Reference 5

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source=pdf_text observed=2026-07-31T18:58:09.291187Z digest=sha256:b479f167867f59344a83a205e3d0eb81aa1c9b3b859be17778c06bffcb82ca1c

Observation 27b71681-948e-4fcf-b4ea-fda4f4a11e14 · outbound

This paper cites Memorization and Regularization in Generative Diffusion Models.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Memorization and Regularization in Generative Diffusion Models

Reference 6

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Observation 83d7ec7b-d424-4f40-b6fa-aef7e7cddd10 · outbound

This paper cites 3D diffusion policy: Generalizable visuomotor policy learning via simple 3D representations,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning 3D diffusion policy: Generalizable visuomotor policy learning via simple 3D representations,

Reference 7

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Observation e3c8b490-28b6-4233-981d-71b0e710e92b · outbound

This paper cites 3D diffuser actor: Policy diffusion with 3D scene representations,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning 3D diffuser actor: Policy diffusion with 3D scene representations,

Reference 8

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source=pdf_text observed=2026-07-31T18:58:09.304481Z digest=sha256:09e409e7d969d98da2bbbad336947cb645e7a116d20e6c9386e24d341bc729c8

Observation 977d7374-b7ae-4752-9677-93305b45a3fb · outbound

This paper cites Chaineddiffuser: Unifying trajectory diffusion and keypose prediction for robotic manipulation,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Chaineddiffuser: Unifying trajectory diffusion and keypose prediction for robotic manipulation,

Reference 9

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Observation 09f92608-998a-44be-9fe6-9c7d5c052956 · outbound

This paper cites Goal-conditioned imitation learning using score-based diffusion policies,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Goal-conditioned imitation learning using score-based diffusion policies,

Reference 10

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source=pdf_text observed=2026-07-31T18:58:09.312213Z digest=sha256:95f4bbbadfc7ce3ac025b75092ccd224a7e468011ef5a3f53ce78fb17ddb4ac0

Observation e0809307-fd5e-4b66-b1fd-a01328838574 · outbound

This paper cites Octo: An open-source generalist robot policy,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Octo: An open-source generalist robot policy,

Reference 11

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source=pdf_text observed=2026-07-31T18:58:09.315970Z digest=sha256:df6eb83b5b1f20662445e90aadaf4f866d564057488dc39edd98f52a3680b2d0

Observation a7bae2b9-db0e-4b66-af23-0d1179fa15a1 · outbound

This paper cites User-friendly introduction to pac-bayes bounds,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning User-friendly introduction to pac-bayes bounds,

Reference 12

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source=pdf_text observed=2026-07-31T18:58:09.320218Z digest=sha256:5760df47022c1e7e22851cfeb72639cde4a72d336cd3a6ec13eaf1059bd86ea2

Observation 8d434430-0580-403f-ad58-e5cdcc1e4d9a · outbound

This paper cites Denoising diffusion probabilistic models,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Denoising diffusion probabilistic models,

Reference 13

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source=pdf_text observed=2026-07-31T18:58:09.323934Z digest=sha256:f896691ca2e1361d2f14381daa0e71f7e50b4efb3c7b7a3574f0be17eeae2a13

Observation 97a384ba-f579-4a2f-96cd-3df42430edde · outbound

This paper cites Tighter risk certificates for neural networks,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Tighter risk certificates for neural networks,

Reference 14

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Observation 1955bcbb-6a3a-42c4-bae3-85a438b9a7ff · outbound

This paper cites The franka emika robot: a standard platform in robotics research,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning The franka emika robot: a standard platform in robotics research,

Reference 15

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Observation c423c652-8c40-4d7d-8d3b-cf2a41bc26ed · outbound

This paper cites Openvla: An open- source vision-language-action model,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Openvla: An open- source vision-language-action model,

Reference 16

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Observation 0f891096-4d16-470c-be60-edeca4eafcd3 · outbound

This paper cites General- ization of diffusion models arises with a balanced representation space,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning General- ization of diffusion models arises with a balanced representation space,

Reference 17

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Observation 7b9d3bc8-cf4c-4dff-8203-504aa3644d07 · outbound

This paper cites Detecting, explaining, and mit- igating memorization in diffusion models,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Detecting, explaining, and mit- igating memorization in diffusion models,

Reference 18

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Observation c47ab1ca-b5ba-41ca-ab72-e5814518ec98 · outbound

This paper cites Tighter pac-bayes generalisation bounds by leveraging example difficulty,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Tighter pac-bayes generalisation bounds by leveraging example difficulty,

Reference 19

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Observation 860c3eb4-789f-4cad-a34e-f70b24633e69 · outbound

This paper cites Pac-bayes control: Synthesizing con- trollers that provably generalize to novel environments,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Pac-bayes control: Synthesizing con- trollers that provably generalize to novel environments,

Reference 20

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Observation 407fd756-0e8a-45eb-9286-bba29b17c05e · outbound

This paper cites Pac-bayes control: learning poli- cies that provably generalize to novel environments,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Pac-bayes control: learning poli- cies that provably generalize to novel environments,

Reference 21

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Observation e972500d-a4b7-47ad-9c85-d7404db4dba5 · outbound

This paper cites Probably approximately correct vision-based planning using motion primitives,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Probably approximately correct vision-based planning using motion primitives,

Reference 22

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Observation 1a1749cf-f783-44c0-aab7-c9c074803331 · outbound

This paper cites Generalization guarantees for imitation learning,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Generalization guarantees for imitation learning,

Reference 23

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Observation f3d6ada4-1bea-4de3-abd5-b07d3799688c · outbound

This paper cites A pac-bayesian framework for optimal control with stability guarantees,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning A pac-bayesian framework for optimal control with stability guarantees,

Reference 24

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Observation e5742902-5f8e-4e06-982f-6bce37750d6f · outbound

This paper cites Denoising diffusion implicit models,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Denoising diffusion implicit models,

Reference 25

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Observation ede61a48-a7ff-4eba-af53-501ae3e9de2c · outbound

This paper cites Pac-bayesian generalisation error bounds for gaussian process classification,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Pac-bayesian generalisation error bounds for gaussian process classification,

Reference 26

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Observation 16f226bc-9449-4af1-bfc1-6dc61d4b7a41 · outbound

This paper cites Machine learning. the science of selection under uncertainty,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Machine learning. the science of selection under uncertainty,

Reference 27

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Observation a2fb4be1-ca68-4b1b-a982-d5d7af252b3f · outbound

This paper cites Weight uncertainty in neural network,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Weight uncertainty in neural network,

Reference 28

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source=pdf_text observed=2026-07-31T18:58:09.383038Z digest=sha256:895d43038fc1b92d93677c16ed0531a166732f5ea4665e8eed1719542ef629bf

Observation b66bd47b-6b84-42a3-bb66-cd30f37718ee · outbound

This paper cites Auto-encoding variational bayes,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Auto-encoding variational bayes,

Reference 29

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source=pdf_text observed=2026-07-31T18:58:09.386987Z digest=sha256:67656631386c502ddbd7fe80b019cca24ed42253ff738786ae6d7ca4f02c5764

Observation 000c4129-6ca0-4479-a890-7268ac8a68f3 · outbound

This paper cites Implicit behavioral cloning,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Implicit behavioral cloning,

Reference 30

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source=pdf_text observed=2026-07-31T18:58:09.392230Z digest=sha256:147481a84a324fc4259081f22c65f9cbf39fa57665122ad2acd76c55525091b7

Observation 664c2ca3-3fd8-4278-b463-57bdea7698ea · outbound

This paper cites What matters in learning from offline human demonstrations for robot manipulation,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning What matters in learning from offline human demonstrations for robot manipulation,

Reference 31

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source=pdf_text observed=2026-07-31T18:58:09.396017Z digest=sha256:f2357076bc493ca453a4d13a770fa63c0c4e189c8e19cbc51d26293426e41c01

Observation 5d9b95b9-842b-404e-9072-27dd336c2bb5 · outbound

This paper cites Information-theoretic diffusion,.

PAC-DP: PAC-Bayesian Diffusion Policy Learning Information-theoretic diffusion,

Reference 32

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Pith citing papers

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