Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-26T14:57:13.185248Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2606.20437.
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 2026-06-26T14:57:13.185248Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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
47 of 47 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 5d362ce1-a180-4413-b1f4-5bd055a74c12 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Performance of a geometric deep learning pipeline for hl-lhc particle tracking
Reference 1
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Observation 4cbc7dea-1fcd-4fa2-8c32-ddf8ff6cff36 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics
Reference 2
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1bc6e5b2-2742-457e-89ed-8c85d71440ff · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction The trackml high-energy physics tracking challenge on kaggle
Reference 3
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Observation 68f6fb59-8ca7-4557-84bf-c03dca78f951 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Mlpf: efficient machine-learned particle-flow reconstruction using graph neural networks
Reference 4
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Observation f6bfc3d3-8542-44c9-ac05-5c9e5ba6f95a · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Graph neural networks in particle physics
Reference 5
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Observation 3b5e3bb8-3544-4407-a756-a03e20547a7c · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Graph neural networks for particle tracking and reconstruction
Reference 6
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Observation fdb864ee-c856-430c-be62-b5c04f0296e6 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Track and vertex reconstruction: From classical to adaptive methods
Reference 7
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Observation 525ae2bd-66e4-4bb3-b503-c4185723bb77 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Charged particle tracking via edge-classifying interaction networks
Reference 8
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Observation 5ea4c974-c2fa-4771-aa8a-fd28f165028e · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction High-luminosity large hadron collider (hl-lhc): Technical design report
Reference 9
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Observation d3d27f75-6301-439b-a755-bf44f146ea89 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Expected tracking performance of the atlas inner tracker at the hl-lhc
Reference 10
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Observation 817ef735-6bf9-46d1-905c-0f9932cc2cb1 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Software performance of the atlas track reconstruction for lhc run 3
Reference 11
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Observation 4a3a1cee-758b-45b6-8889-0f6e7de21a43 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Speeding up particle track reconstruction using a parallel kalman filter algorithm
Reference 12
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Observation a7d519a8-ad58-4ccc-a62f-a8fd1d80f795 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Graph neural networks for charged particle tracking on fpgas
Reference 13
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Observation 4b72f5cd-5104-444b-ae39-d7bd1e7cb7e3 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction traccc: Gpu track reconstruction library for hep experiments
Reference 14
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Observation 2c6e33e4-c8bb-4799-9112-71fd832a24d5 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction The tracking machine learning challenge: accuracy phase
Reference 15
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Observation 598485f5-e4c5-475c-bb54-9a455384eeda · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Application of kalman filtering to track and vertex fitting
Reference 16
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Observation 59bce21c-73ea-44ac-9400-9f0a3182f4f1 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction The hep. trkx project: deep neural networks for hl-lhc online and offline tracking
Reference 17
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Observation 8e915c71-2d96-46e8-a8a3-6520c7f16d6f · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction A pattern recognition algorithm for quantum annealers
Reference 18
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Observation 61a2944d-f81b-40e6-a704-7a1bfc845d43 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Charged Particle Tracking with Machine Learning on FPGAs
Reference 19
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b3f542cf-a04d-4502-b472-417ffcdfa2fa · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Computational performance of the atlas itk gnn track reconstruction pipeline
Reference 20
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Observation f1b21fa4-4290-40d6-8fbb-e748f563f7e2 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction High Pileup Particle Tracking with Object Condensation
Reference 21
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5b7c59c6-465c-4028-9553-c82334a59b94 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Accelerating the inference of the exa. trkx pipeline
Reference 22
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Observation 2d7ba5c2-33d7-4d12-9995-5ac42dcf2591 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Attention is all you need
Reference 23
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Observation b4621df7-d6e6-4e51-a996-dbea8f27585a · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Big bird: Transformers for longer sequences
Reference 24
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Observation c70090ed-2512-4a03-b640-31834da0863f · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Swin transformer: Hierarchical vision transformer using shifted windows
Reference 25
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Observation 223da359-6729-402c-a485-05997257e4c9 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Flatformer: Flattened window attention for efficient point cloud transformer
Reference 26
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Observation 7710cd7e-c279-46e4-9212-eb2e255889ff · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Point transformer v3: Simpler faster stronger
Reference 27
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Observation 8cc4b704-52ed-4fe2-af8c-998b2d50072b · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction A density-based algorithm for discovering clusters in large spatial databases with noise
Reference 28
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Observation 9455d94f-3e8f-4f5d-8fd2-17cf5206f289 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction End-to-end object detection with transformers
Reference 29
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Observation dd42c4e8-b02b-40dc-9706-a951d6d2aa59 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Masked-attention mask transformer for universal image segmentation
Reference 30
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Observation 7510be02-2df5-4f59-9e7f-f1688ce0b5e8 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Mask3d: Mask transformer for 3d semantic instance segmentation
Reference 31
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Observation 658f66c4-2c5d-476f-ab3b-496cbed7c822 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Transformers for charged particle track reconstruction in high-energy physics
Reference 32
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Unavailable: canonical work link unavailable.
Observation fb3b4667-f390-49e0-bf71-5b692a56faea · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Representation Learning with Contrastive Predictive Coding
Reference 33
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e2dfa8c9-2db2-41a1-be9e-d4940e9f521d · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Hierarchical graph neural networks for particle track reconstruction
Reference 34
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Observation 87bfadae-b6c8-4e4a-bf82-93b4ea473d42 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction FlatQuant: Flatness Matters for LLM Quantization
Reference 35
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a8893262-0272-4b0d-a0fe-2da84fd7162c · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Qserve: W4a8kv4 quantization and system co-design for efficient llm serving
Reference 36
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Observation 74a4547e-a728-49ac-b686-a45cba61caca · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Bytetransformer: A high-performance transformer boosted for variable-length inputs
Reference 37
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Observation 16153842-402c-43e7-8fb0-277105832aaf · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Learning representations of irregular particle-detector geometry with distance-weighted graph networks
Reference 38
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Observation 71c2f354-9bde-49e2-a247-e2c4610275e1 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Scalable deep convolutional neural networks for sparse, locally dense liquid argon time projection chamber data
Reference 39
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Observation 46016fdd-600a-4dfb-9e83-ac4efbcd83da · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Graph neural networks for low-energy event classification and reconstruction in icecube
Reference 40
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Observation 619f9b83-00a0-4bf8-9877-60c3b4213612 · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction GraphNeT: Graph neural networks for neutrino telescope event reconstruction
Reference 41
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6fb512fd-5c0b-4df7-ab77-7cd06ff81e0f · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction ATLAS ITk Track Reconstruction with a GNN-based pipeline
Reference 42
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Unavailable: canonical work link unavailable.
Observation 011a8402-b5d3-4e53-8587-22ee813fa53e · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Locality-sensitive hashing scheme based on p-stable distributions
Reference 43
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Observation 08fbd5fb-d472-4b6e-ba87-fcb0d9f420fc · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction The hungarian method for the assignment problem
Reference 44
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Observation 9ca48313-ef4a-483e-99df-68def9bf48aa · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Focal loss for dense object detection
Reference 45
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Observation c4fc2257-2cd0-4057-8de7-97080b4b343e · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction V-net: Fully convolutional neural networks for volumetric med- ical image segmentation
Reference 46
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Observation 81988e6e-0188-42e3-b563-b73962935d5f · outbound
HEPTv2: End-to-End Efficient Point Transformer for Charged Particle Reconstruction Muon is Scalable for LLM Training
Reference 47
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
No inbound Pith citation observations are available.