Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:23:59.364715Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2505.13201.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:23:59.364715Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T03:56:39.352055Z
A source-named dated measurement, never combined with another source.
Source: cited_works
26 of 26 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a852b8a3-6733-4898-86a2-a8f57e20ca09 · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects A K Peters / CRC Press, Boca Raton, FL, 2018
Reference 1
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.
Observation 8775fd99-107c-448b-90fe-9f214ec99629 · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects A similarity measure for material appearance.Jornada de Jóvenes Investigadores del I3A, 7, 2019
Reference 2
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.
Observation a070824a-0dd9-4fac-a700-ab1b5f3bb140 · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Blender Foundation, 2024
Reference 3
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.
Observation 297b1fee-3916-4a22-afa6-7bb5793a32bf · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Invariant scattering convolution networks.IEEE transactions on pattern analysis and machine intelligence, 35(8):1872–1886, 2013
Reference 4
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.
Observation bbb79443-3c0d-4e40-bcc2-e713d0383ae5 · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Pcanet: A simple deep learning baseline for image classification?IEEE transactions on image processing, 24(12):5017–5032, 2015
Reference 5
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.
Observation 76285e03-be1d-48f0-a725-95ee67cf47c5 · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Blender Foundation, Stichting Blender Foundation, Amsterdam, 2018
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ae1e3cc-c7dd-4a70-8441-4642e33a32f7 · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Visual perception of materials and their properties.Vision research, 94:62–75, 2014
Reference 7
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.
Observation ca28cf9b-a3b2-4c71-9b67-43c1b607e135 · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Perceptual qualities and material classes.Journal of vision, 13(8):9–9, 2013
Reference 8
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.
Observation 80c3d68f-2ff5-4361-a625-9364886fec0d · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Deep residual learning for image recognition
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e8ae3ae-32a2-482e-b9d0-a90dd4151c12 · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Mitsuba 3 renderer,
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fffe89f6-4c93-445d-b50e-49f6f28fea5c · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Segment anything
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5f4071d-8c4f-4053-b62c-a3016a782f18 · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Representing and recognizing the visual appearance of materials using three-dimensional textons.International journal of computer vision, 43(1):29– 44, 2001
Reference 12
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.
Observation 516a5bdb-0ea4-4940-93e4-2e407707d717 · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Cgintrinsics: Better intrinsic image decomposition through physically-based rendering
Reference 13
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.
Observation bd51788f-2de3-40a3-a0fb-efeccf0433bc · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Swin transformer: Hierarchical vision transformer using shifted windows
Reference 14
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.
Observation c97c4bf3-179c-4293-91ee-aa62ee3c404b · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects A convnet for the 2020s
Reference 15
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.
Observation 521f3afd-af2f-4f69-a1cf-a5c95c208b4d · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects U-net: Convolutional networks for biomedical image segmentation
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb723799-c5e8-46b9-8476-433a8a2ad38d · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Recognizing material properties from images.IEEE transactions on pattern analysis and machine intelligence, 42(8):1981–1995, 2019
Reference 17
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.
Observation a4fefabe-91b7-49ec-b2a1-e89eca05d265 · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Neural inverse rendering of an indoor scene from a single image
Reference 18
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.
Observation e3d93020-9d50-4f9e-8906-203c7b640b7f · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Semantic scene completion from a single depth image
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4627ebfb-7b33-4e66-b208-ac6fb3e372e7 · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects The Replica Dataset: A Digital Replica of Indoor Spaces
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2095558f-a5db-4016-ab8b-53c7140a91bd · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Deep Learning for Material recognition: most recent advances and open challenges
Reference 21
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.
Observation 813b1975-1ab3-4be6-a0e4-dc4cea580535 · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Texture analysis.Handbook of pattern recognition and computer vision, pages 235–276, 1993
Reference 22
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.
Observation 53615ae2-752f-409a-a593-72097f854a41 · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects MatSynth: A Modern PBR Materials Dataset
Reference 23
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.
Observation 0a7c4222-8dff-4c86-ae67-94aedeb02566 · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Pyramidal parametrics
Reference 24
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.
Observation e59648b6-9ace-4df7-8ca6-367d39219400 · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Physically-based rendering for indoor scene understanding using convolu- tional neural networks
Reference 25
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.
Observation c7d79386-9497-42cb-93bc-a751cb63a6b6 · outbound
MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects Unresolved cited work
Reference 2022
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c38d294-d3df-4c8f-b337-4fd240840244 · inbound
WCM: World-Cognition Model for Generalizable Human-Robot Interaction MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.