Pith. sign in

Paper Citation Record · LEDGER

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2506.08756.

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

pith.paper-citation-record.v1
2506.08756 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:04:53.382607Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

39 of 39 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59a8444d-a7bd-47bf-be9c-25b8b4301c50 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning RT-1: Robotics Transformer for Real-World Control at Scale

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.241418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.241418Z digest=sha256:068b72bf5a2c80c0c39cd439d8432168fd8d6ac35566cf4099eab2de309aa99b

Observation 7ceef02a-4cd1-474f-8abe-81dd9ba4ed8f · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901,.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.250058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.250058Z digest=sha256:86a08e509296441c32a41fc6a4ad4b158883943041aa084bac276a828ec440a7

Observation a26113e8-66f5-432a-900c-6bf7e824bd86 · outbound

This paper cites The rising costs of training frontier AI models.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning The rising costs of training frontier AI models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.258747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.258747Z digest=sha256:33dcb9606362ccbdd3e2a1e230fc366771e599bbd2d3acf46960a21181d88601

Observation bd727349-22c9-45ae-a97f-ca3a4e7e3592 · outbound

This paper cites Automating Involutive MCMC using Probabilistic and Differentiable Programming.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Automating Involutive MCMC using Probabilistic and Differentiable Programming

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.262716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.262716Z digest=sha256:3fe061dc25404fb8df04e8746d5e8e010be5fc3882b9bb70ce4f68f831dac007

Observation 05466b12-1c63-4a9c-9272-1007273f803e · outbound

This paper cites The Llama 3 Herd of Models.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning The Llama 3 Herd of Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.270687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.270687Z digest=sha256:a963b8d4b3f57ba26667dbc1ea865487055a29062ea700cf318faa7ae6c1219a

Observation 81674a59-1680-42b7-9197-72089e533094 · outbound

This paper cites DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.278363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.278363Z digest=sha256:534ebc38ca89d590fc806188a62862651f24e907fb66124e1d8c433711dbe3fc

Observation b0f74a6e-1b59-4241-aa9d-9f828ab4ce27 · outbound

This paper cites Bayesian Workflow.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Bayesian Workflow

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.290153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.290153Z digest=sha256:ab310105f6c554f01b9e9aef96f8b194c2645f860b34b61e33c7dcfdfec2e98a

Observation e2a9b67f-77c1-4809-8a21-560d010c6f30 · outbound

This paper cites Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:54.097555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:53.294480Z digest=sha256:b7127e09d013912a5df2a71cfd70eca841c4c5fef9588215dc04a4f3b3d74dcc

Observation 4bb14391-bbed-4785-82f0-b3e2c7e4c896 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.298436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.298436Z digest=sha256:56a3eef47d39e524f0b289e1caf3f4907d181c8ffe96942c783ca08b49c22047

Observation eb178bc4-f3b3-41d8-a3bb-0d12d11d4690 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Training Compute-Optimal Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.302076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.302076Z digest=sha256:674eb8f7038646d530bc135934146f8244575610a94257752a4ff0609e6668ec

Observation 6d2f26bc-5bab-44af-bcb9-f0d13526ffbe · outbound

This paper cites doi: 10.1177/0278364920987859.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning doi: 10.1177/0278364920987859

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.306224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.306224Z digest=sha256:2fcc60708a7aa782c34efc2f9eeeaf974ea02b5440f7239469757a47e5771266

Observation a581990d-01ec-4bd6-b4be-7e09892b848d · outbound

This paper cites an unresolved cited work.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.310102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.310102Z digest=sha256:f9e64c3f6bcd2cb5147002e8bdbd8cc24fefda5e56320a24df265343088d0687

Observation 1954b7c7-3bf7-4ee4-89b3-603e2f165845 · outbound

This paper cites Scaling Laws for Neural Language Models.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Scaling Laws for Neural Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.315107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.315107Z digest=sha256:03b79ec6510e9c3b69f2218e93d349624a035f5ae045ae466b8d43b61503fae9

Observation 4aac6718-0292-4d4e-b6ea-7c3f0e1c5d0a · outbound

This paper cites Highly Dynamic Quadruped Locomotion via Whole-Body Impulse Control and Model Predictive Control.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Highly Dynamic Quadruped Locomotion via Whole-Body Impulse Control and Model Predictive Control

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.318818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.318818Z digest=sha256:a92d7b74a0b33ae0db71a4340f33d3f6725a6c9fb46aa6ba85b067563c6b84fc

Observation 1ba09fc5-f363-4e7d-8847-0e29a7d81202 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning OpenVLA: An Open-Source Vision-Language-Action Model

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.323246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.323246Z digest=sha256:c41e9de17f809b8df0d46f510e17920913ccb596efcd137c26de8cdace327cab

Observation 068bdbf2-7e3a-4ba3-97c7-022e077dda23 · outbound

This paper cites A Differentiable Newton Euler Algorithm for Multi-body Model Learning.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning A Differentiable Newton Euler Algorithm for Multi-body Model Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.331197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.331197Z digest=sha256:8e366b0433f3f8c5efb435f92030489ed4451d6f13e6ae0cfd5a3d146ec206ca

Observation 314db1f1-93d7-47f8-8671-930cccf46016 · outbound

This paper cites Igor Mordatch, Zoran Popović, and Emanuel Todorov.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Igor Mordatch, Zoran Popović, and Emanuel Todorov

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.335350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.335350Z digest=sha256:45026197959a62798d32bcc4598f6f6b5f5cb6d60df55380cf02ac093d8d229b

Observation 7c0451dc-b4de-4978-9d60-3a6e995cb6d1 · outbound

This paper cites doi: 10.3389/fmars.2019.00580.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning doi: 10.3389/fmars.2019.00580

Reference 28

Resolution
verified exact
raw_fallback, observed 2026-08-07T05:04:53.776830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:53.339451Z digest=sha256:54034c8efb9221159bc92ce8d6df4b4683eb9e908fb9978447eeb56cb4baad0b

Observation 55bdb21e-10e0-4393-8fd0-ec1bbd214f02 · outbound

This paper cites Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.343164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.343164Z digest=sha256:ae677d84eec6ed615e4c8f24a60250ce51e05dddda19d0a47f87a7debfe896a8

Observation 2594464f-76f6-4043-b0ad-6d87aa9ba426 · outbound

This paper cites Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.347394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.347394Z digest=sha256:f61858609baf5b814133aa0ffb79290c30afcd53b28128fe4979668bb98cd37f

Observation c5c24644-4195-4f21-8937-a91a9607c444 · outbound

This paper cites Neil Rabinowitz, Frank Perbet, Francis Song, Chiyuan Zhang, SM Ali Eslami, and Matthew Botvinick.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Neil Rabinowitz, Frank Perbet, Francis Song, Chiyuan Zhang, SM Ali Eslami, and Matthew Botvinick

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.354901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.354901Z digest=sha256:e340fed5b1c365c5793e923c9b203152cdba7e4031acee4088ac67de97c409ed

Observation 8b9bbcd6-a6af-4829-a621-6268fe7fb533 · outbound

This paper cites Accelerating 3D Deep Learning with PyTorch3D.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Accelerating 3D Deep Learning with PyTorch3D

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.358806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.358806Z digest=sha256:3a08c83430457156ddca29c56942eea589e3293a3556f507b190457f16a94564

Observation 01534e3d-aa9f-4459-a26b-70d8006e13d6 · outbound

This paper cites Progressive Neural Networks.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Progressive Neural Networks

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.362804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.362804Z digest=sha256:c0bfa8096284d615d03ce31a20389f04e10847212dd2dcf350e42fb279f220e9

Observation ee9ecf42-99de-4e8f-90fd-e335553e962c · outbound

This paper cites URL https://doi.org/10.1080/10447318.2020.1741118.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning URL https://doi.org/10.1080/10447318.2020.1741118

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.366820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.366820Z digest=sha256:a8c1254cb19101719c0d4cee6b715eeee9db3a73e1df589db45f5de5f1c0337e

Observation 689319c3-678d-4da4-a70a-b982d24d5ee7 · outbound

This paper cites Will we run out of data? Limits of LLM scaling based on human-generated data.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Will we run out of data? Limits of LLM scaling based on human-generated data

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.374794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.374794Z digest=sha256:f384754536a9208c1ed87bbadb6a0395597d8fcee03f7ef6ced9a1b5897eea07

Observation 34b4ce6d-1865-42b1-91d3-a5d410b165a8 · outbound

This paper cites Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, and Miles Macklin.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, and Miles Macklin

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:54.058583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:53.378762Z digest=sha256:227718a6cc0a74cd8feeabce3e4e9fde97ae774cec0b12aff0607a57aaee4c53

Observation 83cc1ce6-142a-48df-a253-900b7e147898 · outbound

This paper cites Advances in variational inference.IEEE transactions on pattern analysis and machine intelligence, 41 (8):2008–2026,.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Advances in variational inference.IEEE transactions on pattern analysis and machine intelligence, 41 (8):2008–2026,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:54.045916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:53.382607Z digest=sha256:857c1b5aeceb940d8d16c7b894b7e8160aa1c813f7f88ca268c4c981ac71eb39

Observation 887519db-99c1-4e2a-9ecf-675fa1152b1d · outbound

This paper cites Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation

Reference 1965

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.286374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.286374Z digest=sha256:8aeccc0eee6a5e983c5f70bfb589e9f6b3e13a997338c96e2efec7a597ba5837

Observation 83d17b0b-f5fc-44b5-8693-0b382b0bf28f · outbound

This paper cites Efficient Reinforcement Learning Framework for Automated Logic Synthesis Exploration.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Efficient Reinforcement Learning Framework for Automated Logic Synthesis Exploration

Reference 1984

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:54.084633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:53.351128Z digest=sha256:d1013c3f218e29fed482ede4474a95a8d39efa2d915cdf9b67de1af4577c0ca5

Observation 49905a84-1029-40f2-bf2e-436a1404564c · outbound

This paper cites Mujoco: A physics engine for model-based control.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Mujoco: A physics engine for model-based control

Reference 2011

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:04:54.071551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:04:53.371006Z digest=sha256:8b96ab3ffb907446abb93f28609df4169c6d2402ff9db0622e8292d13cbadcf6

Observation fc2e40fe-761d-4546-953f-c10ac37441fd · outbound

This paper cites Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, and Timo Aila.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning Samuli Laine, Janne Hellsten, Tero Karras, Yeongho Seol, Jaakko Lehtinen, and Timo Aila

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.327331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.327331Z digest=sha256:c9d7b7c379e7320e5f482195fa529ce8c04e3780c6704e4aba24902e4011dc6f

Observation d078c043-7674-472d-8754-0b042be90bb8 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning On the Opportunities and Risks of Foundation Models

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.237057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.237057Z digest=sha256:84d1284adbdc3d69994298a4d47a463bf5da7f70fbf71df9e1269813bbee28cb

Observation 57a6845b-e494-4fb6-8101-983738edaa43 · outbound

This paper cites BlackJAX: Composable Bayesian inference in JAX.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning BlackJAX: Composable Bayesian inference in JAX

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.254016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.254016Z digest=sha256:f461c463520e60d13363e798c7c346a22255ff9a497c7599f637d847584a43e9

Observation 16fdcde5-794d-4d46-9f70-c84308157e42 · outbound

This paper cites TensorFlow Distributions.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning TensorFlow Distributions

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.266713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.266713Z digest=sha256:0de72ba35cb7b116d0cdbaccd70232d599b0a51e81ba4378e614dbe3d248d190

Observation 4afeb1bf-6a3f-46da-8b4e-ad81656a2825 · outbound

This paper cites PathNet: Evolution Channels Gradient Descent in Super Neural Networks.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.282388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.282388Z digest=sha256:b7dc00c569c181215585e3c8eed6a930d1a9292dea228ba699d315f216684d42

Observation 8e39237a-521f-4e90-90ed-64638a1f4b63 · outbound

This paper cites doi: 10.1007/s10994-021-05961-4.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning doi: 10.1007/s10994-021-05961-4

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.274445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.274445Z digest=sha256:b594dbdfd00af361ef2d487a9671476c006a4f4453f34893bd6d17912793391a

Observation 32ddd985-ab74-4002-b5d9-5f65d4fdd5d8 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.245699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.245699Z digest=sha256:e446ce05848db2291622103310e290479b76bfb99998379cda2824ba7800548a

Observation 9be4f5dc-1716-4c07-9f57-3e3205bcb725 · outbound

This paper cites A Conceptual Introduction to Hamiltonian Monte Carlo.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning A Conceptual Introduction to Hamiltonian Monte Carlo

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.232794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.232794Z digest=sha256:41889d436799a0ad0a80bf09f21907ed15dd07607c899711b803ee88e7ef515e

Observation 3e2a7f75-7552-4de5-b025-ca6c727f6145 · outbound

This paper cites DeepCoder: Learning to Write Programs.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning DeepCoder: Learning to Write Programs

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.228075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.228075Z digest=sha256:ee490fc62cb0a553272ff5bed1bdf5390f8cec987b76ef9ec19ea6869484cc4c

Pith citing papers

No inbound Pith citation observations are available.