Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-18T08:23:48.319099Z
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2510.10628.
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 2026-05-18T08:23:48.319099Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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
45 of 45 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation bc9072ad-b5e1-4020-93db-ba99340ba548 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs CEPC Conceptual Design Report: Volume 2 - Physics & Detector
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a16c5921-55af-4cfe-9d4d-0d888260c32d · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Gao,Cepc technical design report: accelerator,Radiation Detection Technology and Methods 8(2024) 1
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5deb41e9-8ab3-4c37-a8a2-6cb700e7c07c · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Blondel and P
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d018d964-d0ce-43be-8fe6-4e953c43aa53 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation aaee0b54-bb4c-4eaf-9d86-ece0b9705b65 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Belle II Technical Design Report
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5041a157-a0f2-422c-91de-014605754173 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 98294743-6bb0-4be2-9cbe-bc25644cbfa5 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Anderson, J
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 09fd4a98-51bb-4357-b7de-cbd511906aa5 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Davidenko, B
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c9f1f490-dbbd-44b4-a687-72429cb6d8b4 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Cataldi, F
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation da7ee531-c25d-4877-b9f4-ddfd2a8d9396 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Chang, H
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a0e001d5-f3d8-4f79-b9aa-7d6039271c01 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6173dbc2-4c7b-4b2c-871b-ab9b6f7dc903 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Giomataris, P
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5e935f9c-995a-4a23-a8c7-3236eb7825eb · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8dae33f9-61e0-4cb7-bd01-936c8e6b2cd2 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Garfield++: Simulation of tracking detectors
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 093cc8ea-2b03-4200-8d54-ee36aea2a45b · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Veenhof et al.,Garfield, a drift chamber simulation program, inConf
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 44aaafa0-d269-4818-9a57-638b503e856b · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Zhang, B
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 44bd92eb-01c0-4ad4-b9b2-721518f14727 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Chang, H
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1b3c67b3-8686-4620-9878-7669a1dcc28c · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation eeba069f-fa4c-4124-9808-396c35e4795e · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Pólya,Sur quelques points de la théorie des probabilités, inAnnales de l’institut Henri Poincaré, vol
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e8f53343-baeb-4f87-b08c-0358a0dd7b5e · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Lippmann,Particle identification,Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment666(2012) 148
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c2a3d60b-07b5-4cb1-a70f-33a8e11e858f · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Vaswani, N
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8bbc1263-27e5-40a9-8e36-94d0125162a2 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Krizhevsky, I
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6eee53a3-687d-40f6-a66d-598b8e51532a · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs LeCun, B
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5b9a591c-bd4e-479c-94ce-ebcb4ac266af · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 993b582f-4643-4c4e-b1ec-624d2f5229fc · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c18ed36f-d272-4649-9138-34e8026880b2 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation da031ae4-520f-44da-83ec-c8879eaa413d · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8b9ef3a1-042c-4fa3-bc09-d2428cd102f6 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 54640831-4dc7-49b2-a017-587b9f958965 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 07ccf474-fcaf-4c46-be8f-11a1eba5a9ab · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1ece8052-dc69-4222-b5cc-02b1335e5b10 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Scarselli, M
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 53baee68-1da2-483f-af12-4137b33f4ede · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7c7c9abf-654e-4599-9906-519a160dc040 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Shi and R
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e3a2e05d-a0ce-4b1d-a372-20e4443fdeda · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a4c4742d-8bff-4733-b940-f7dfbcfe7b39 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs PointViG: A Lightweight GNN-based Model for Efficient Point Cloud Analysis
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 05eb70e0-9b3c-463d-bfd6-4db703d02c63 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Caron, C
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation fc21e28d-baba-4fd9-9ef1-3ff660cfb623 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Caputo, G
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2ac3a83d-aec3-4a89-8280-a0e57fe0e637 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3b464997-bb1a-4e2d-8553-98243cf0a83e · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f7676e43-3706-4c11-bde5-cf999c6643f4 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 10814b65-ce78-447a-98c7-97036c81d163 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Kantorovich,On the translocation of masses, inDokl
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 06801bae-a89e-48ff-86b5-816cacf666f0 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Ronneberger, P
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a9ac71a3-5a9b-4aba-956c-654a328f1b20 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Decoupled Weight Decay Regularization
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c8d27778-fbd8-4e22-9233-7383201900a9 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Diener, J
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation aa90de39-686f-4aa0-86d4-542288f5bb64 · outbound
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Colaleo, L
Reference 45
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
No inbound Pith citation observations are available.