Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:57:50.456810Z
Paper Citation Record · LEDGER
PyFRep: Shape Modeling with Differentiable Function Representation
As of 19 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2504.14216.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
52 of 52 outbound references displayed
- verified exact0
- verified fuzzy45
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fc8ea5f1-db81-4f7a-9203-297cba799191 · outbound
This paper cites https://openscad.org/.
PyFRep: Shape Modeling with Differentiable Function Representation https://openscad.org/
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:51.011549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c3a7b694-216c-4c1b-b017-d075bc9ae5ea · outbound
This paper cites Ten- sorFlow: Large-scale machine learning on heterogeneous systems, 2015.
PyFRep: Shape Modeling with Differentiable Function Representation Ten- sorFlow: Large-scale machine learning on heterogeneous systems, 2015
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:51.001238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d8e6d337-ae8f-498c-a45f-27b77a34d1b6 · outbound
This paper cites Aether: An embedded domain specific sampling language for monte carlo rendering.
PyFRep: Shape Modeling with Differentiable Function Representation Aether: An embedded domain specific sampling language for monte carlo rendering
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.991307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 318113b1-1bae-4bf1-bdb9-23c0c5a2a4a2 · outbound
This paper cites Pearlmutter, Alexey Andreyevich Radul, and Jeffrey Mark Siskind.
PyFRep: Shape Modeling with Differentiable Function Representation Pearlmutter, Alexey Andreyevich Radul, and Jeffrey Mark Siskind
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.981180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 629c2cf2-ea14-49b1-9f38-a3c4c75674cb · outbound
This paper cites Approximate distance fields with non- vanishing gradients.
PyFRep: Shape Modeling with Differentiable Function Representation Approximate distance fields with non- vanishing gradients
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.971666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e41edf63-8ae0-4d43-8022-8b3fb4eb47a2 · outbound
This paper cites Heterogeneous material modeling with distance fields.
PyFRep: Shape Modeling with Differentiable Function Representation Heterogeneous material modeling with distance fields
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.961840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a69406a0-c411-4320-b40a-163d3cb6a8e7 · outbound
This paper cites Interactive techniques for implicit mod- eling.
PyFRep: Shape Modeling with Differentiable Function Representation Interactive techniques for implicit mod- eling
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.951747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2b12ed94-cb8f-44cf-a7dd-c9daa6a3a332 · outbound
This paper cites JAX: composable transformations of Python+NumPy programs.
PyFRep: Shape Modeling with Differentiable Function Representation JAX: composable transformations of Python+NumPy programs
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.940995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0c291817-42be-4069-9e11-aa3b72dd3db9 · outbound
This paper cites Web-based shape modeling with hyperfun.
PyFRep: Shape Modeling with Differentiable Function Representation Web-based shape modeling with hyperfun
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.930536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b5b53554-67fa-4c30-bafd-3ddb40139608 · outbound
This paper cites Opt: A domain specific language for non-linear least squares optimization in graphics and imaging.
PyFRep: Shape Modeling with Differentiable Function Representation Opt: A domain specific language for non-linear least squares optimization in graphics and imaging
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.920280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e82bbdf0-11e6-4375-95c8-2fed56ecac89 · outbound
This paper cites Signed Distance Function Computation from an Implicit Surface.
PyFRep: Shape Modeling with Differentiable Function Representation Signed Distance Function Computation from an Implicit Surface
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:57:50.317341Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97ab939e-f125-43e3-a4bb-25810d279a49 · outbound
This paper cites A survey of methods for converting unstructured data to csg models.
PyFRep: Shape Modeling with Differentiable Function Representation A survey of methods for converting unstructured data to csg models
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.909636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1c12eb16-ed84-44a8-b55e-4b406197960e · outbound
This paper cites Automation of the Volumetric Models Con- struction, pages 214–238.
PyFRep: Shape Modeling with Differentiable Function Representation Automation of the Volumetric Models Con- struction, pages 214–238
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.900079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation eb3142bf-8972-43b4-835a-bac31a9b081b · outbound
This paper cites Constructive heterogeneous object modeling using signed approxi- mate real distance functions.
PyFRep: Shape Modeling with Differentiable Function Representation Constructive heterogeneous object modeling using signed approxi- mate real distance functions
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.890132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e711cb43-575f-4ad0-981c-89e09bc90738 · outbound
This paper cites Web-based constructive shape modeling using real distance functions.
PyFRep: Shape Modeling with Differentiable Function Representation Web-based constructive shape modeling using real distance functions
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.878902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 19885798-eab7-4ae5-9fc4-6689313ab0c0 · outbound
This paper cites Curvature formulas for implicit curves and surfaces.
PyFRep: Shape Modeling with Differentiable Function Representation Curvature formulas for implicit curves and surfaces
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.869451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a82452f4-461a-4599-a5b6-49ac730dd14c · outbound
This paper cites Implicit Curves and Surfaces: Mathematics, Data Structures and Al- gorithms.
PyFRep: Shape Modeling with Differentiable Function Representation Implicit Curves and Surfaces: Mathematics, Data Structures and Al- gorithms
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.859850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 13fbd24f-3485-43c3-87b2-1468a8fcdf05 · outbound
This paper cites Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation.
PyFRep: Shape Modeling with Differentiable Function Representation Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.849936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f1e93358-474c-47e1-86d7-e065308dba9c · outbound
This paper cites A bayesian inference framework for procedural material parameter estimation.
PyFRep: Shape Modeling with Differentiable Function Representation A bayesian inference framework for procedural material parameter estimation
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.840033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ce5aca99-abc6-495c-a789-bac68d30fb8a · outbound
This paper cites X-cad: optimizing cad models with extended finite elements.
PyFRep: Shape Modeling with Differentiable Function Representation X-cad: optimizing cad models with extended finite elements
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.829092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a368f5e5-7b97-40f1-a2ab-d7005062ea00 · outbound
This paper cites An overview of materials with triply periodic minimal surfaces and related geometry: From biological structures to self-assembled systems.
PyFRep: Shape Modeling with Differentiable Function Representation An overview of materials with triply periodic minimal surfaces and related geometry: From biological structures to self-assembled systems
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.819436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d6f93713-ab03-4d83-b61f-2c9d919095e4 · outbound
This paper cites Sphere tracing: A geometric method for the antialiased ray tracing of implicit surfaces.
PyFRep: Shape Modeling with Differentiable Function Representation Sphere tracing: A geometric method for the antialiased ray tracing of implicit surfaces
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.808954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a739e4ff-cfa3-4ac3-bcb3-b395c3c76ece · outbound
This paper cites DiffTaichi: Differentiable Programming for Physical Simulation.
PyFRep: Shape Modeling with Differentiable Function Representation DiffTaichi: Differentiable Programming for Physical Simulation
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:57:50.357135Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95c834c5-afd3-4c65-a510-0ee26aa3f4e0 · outbound
This paper cites Differentiable Rendering: A Survey.
PyFRep: Shape Modeling with Differentiable Function Representation Differentiable Rendering: A Survey
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:57:50.360641Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5478f53f-eb09-4f10-a4c7-bb8247065b41 · outbound
This paper cites an unresolved cited work.
PyFRep: Shape Modeling with Differentiable Function Representation Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T11:57:50.798667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6825f9e2-8bc8-4840-89b2-9fa3da302c2c · outbound
This paper cites Massively parallel rendering of complex closed-form implicit surfaces.
PyFRep: Shape Modeling with Differentiable Function Representation Massively parallel rendering of complex closed-form implicit surfaces
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.787774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cc5a0bdb-f139-4093-9b36-2ddebe27494f · outbound
This paper cites IceSL: A GPU accelerated CSG modeler and slicer.
PyFRep: Shape Modeling with Differentiable Function Representation IceSL: A GPU accelerated CSG modeler and slicer
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.777340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cfa6fdb2-289a-45ea-accc-82b77768f20d · outbound
This paper cites Differen- tiable monte carlo ray tracing through edge sampling.
PyFRep: Shape Modeling with Differentiable Function Representation Differen- tiable monte carlo ray tracing through edge sampling
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.766566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 15d12ee2-1d82-43d9-85a5-7a2a84b3dc8c · outbound
This paper cites Differentiable programming for image processing and deep learning in halide.
PyFRep: Shape Modeling with Differentiable Function Representation Differentiable programming for image processing and deep learning in halide
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.756321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ff715ccc-49d7-409e-b03f-9863bb094047 · outbound
This paper cites Dif- ferentiable vector graphics rasterization for editing and learning.
PyFRep: Shape Modeling with Differentiable Function Representation Dif- ferentiable vector graphics rasterization for editing and learning
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.746190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 67601696-fe8c-41b5-9d27-e04424631b4d · outbound
This paper cites Opendr: An approximate differen- tiable renderer.
PyFRep: Shape Modeling with Differentiable Function Representation Opendr: An approximate differen- tiable renderer
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.736050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 18e61c11-ae31-41ef-b180-f0216d79ca6b · outbound
This paper cites Marching cubes: A high resolution 3d surface construction algorithm.
PyFRep: Shape Modeling with Differentiable Function Representation Marching cubes: A high resolution 3d surface construction algorithm
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.725486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ffe15bac-13a8-40dc-af4a-7a33a4e309a4 · outbound
This paper cites Modeling, inference and optimization with composable dif- ferentiable procedures.
PyFRep: Shape Modeling with Differentiable Function Representation Modeling, inference and optimization with composable dif- ferentiable procedures
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.714997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8939462a-e4b3-4948-a102-d0b27732fb5c · outbound
This paper cites Nurbs-based and parametric-based shape optimization with differentiated cad kernel.
PyFRep: Shape Modeling with Differentiable Function Representation Nurbs-based and parametric-based shape optimization with differentiated cad kernel
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.704369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6064b544-e856-441a-83a4-9e3de403f274 · outbound
This paper cites Level set methods and dynamic implicit surfaces, volume 153.
PyFRep: Shape Modeling with Differentiable Function Representation Level set methods and dynamic implicit surfaces, volume 153
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.693483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f6bfd4cf-7a25-4d43-b65f-aa599a74aa9f · outbound
This paper cites Hyperfun project: A framework for collab- orative multidimensional f-rep modeling.
PyFRep: Shape Modeling with Differentiable Function Representation Hyperfun project: A framework for collab- orative multidimensional f-rep modeling
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.682611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9e8983ea-56a8-431d-8340-5ca49454bd90 · outbound
This paper cites Function representation in geometric modeling: concepts, implementation and applications.
PyFRep: Shape Modeling with Differentiable Function Representation Function representation in geometric modeling: concepts, implementation and applications
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.672763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 75534f9b-f315-41c4-964f-07471b6002e2 · outbound
This paper cites Procedural function-based modelling of volumetric mi- crostructures.
PyFRep: Shape Modeling with Differentiable Function Representation Procedural function-based modelling of volumetric mi- crostructures
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.662401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5b7cad53-b17f-4f11-8394-34b517e234d3 · outbound
This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.
PyFRep: Shape Modeling with Differentiable Function Representation PyTorch: An Imperative Style, High-Performance Deep Learning Library
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:57:50.411487Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb046861-618a-4c2c-9882-fea775c79650 · outbound
This paper cites Reverse-mode ad in a func- tional framework: Lambda the ultimate backpropagator.
PyFRep: Shape Modeling with Differentiable Function Representation Reverse-mode ad in a func- tional framework: Lambda the ultimate backpropagator
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.652015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a6168d63-850c-4329-9db0-d4aace5d16d3 · outbound
This paper cites Modeling with distance functions.
PyFRep: Shape Modeling with Differentiable Function Representation Modeling with distance functions
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.641932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e5288f30-825d-4022-b259-40f443401ae5 · outbound
This paper cites Regularized evolution for image classifier architecture search.
PyFRep: Shape Modeling with Differentiable Function Representation Regularized evolution for image classifier architecture search
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.631331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 39e73ee2-116d-4a51-9fbd-8528924771de · outbound
This paper cites an unresolved cited work.
PyFRep: Shape Modeling with Differentiable Function Representation Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T11:57:50.620969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ba357860-791f-4b98-ae88-0b5252c7efe6 · outbound
This paper cites A Stochastic Approximation Method.
PyFRep: Shape Modeling with Differentiable Function Representation A Stochastic Approximation Method
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.610960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f77deb60-09a0-444b-ae90-1b5542078cdd · outbound
This paper cites an unresolved cited work.
PyFRep: Shape Modeling with Differentiable Function Representation Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T11:57:50.600820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 468faf97-dedf-4d95-88d1-63e281112506 · outbound
This paper cites Schmidt, B.
PyFRep: Shape Modeling with Differentiable Function Representation Schmidt, B
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.590885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation af9cc95d-ec2f-4601-844c-c9cb4d61a201 · outbound
This paper cites Semi-analytic geometry.
PyFRep: Shape Modeling with Differentiable Function Representation Semi-analytic geometry
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.580372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e47e2616-1e29-4152-b250-809b7d405409 · outbound
This paper cites Match: differentiable material graphs for procedural material capture.
PyFRep: Shape Modeling with Differentiable Function Representation Match: differentiable material graphs for procedural material capture
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.569875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6923f4d2-6db9-4286-a256-add34e435e7f · outbound
This paper cites Distance approximations for rasterizing implicit curves.
PyFRep: Shape Modeling with Differentiable Function Representation Distance approximations for rasterizing implicit curves
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.559694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation db129866-d20d-455c-84bc-e0d9ae93f27c · outbound
This paper cites Tewari, O.
PyFRep: Shape Modeling with Differentiable Function Representation Tewari, O
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.549247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1c658467-4aff-4af9-ac75-4126aaf4cc85 · outbound
This paper cites Openfab: A programmable pipeline for multi-material fabrication.
PyFRep: Shape Modeling with Differentiable Function Representation Openfab: A programmable pipeline for multi-material fabrication
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.538740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 882bb356-4825-4da3-a440-08a7792a05ed · outbound
This paper cites Extending the csg tree.
PyFRep: Shape Modeling with Differentiable Function Representation Extending the csg tree
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:57:50.526981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
No inbound Pith citation observations are available.