Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-15T21:37:21.829563Z
Paper Citation Record · LEDGER
On-chip probabilistic inference for charged-particle tracking at the sensor edge
As of 6 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2602.15946.
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 2026-08-06T06:34:29.942622+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
Reference resolution
34 of 34 outbound references displayed
- verified exact10
- verified fuzzy15
- unresolved8
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 08bd93c7-6aae-48ff-b93d-8db651029c98 · outbound
This paper cites an unresolved cited work.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Unresolved cited work
Reference 1
- Resolution
- unresolved
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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 a163723b-1795-42c0-aa58-229112a9e9dd · outbound
This paper cites an unresolved cited work.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Unresolved cited work
Reference 2
- Resolution
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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 32101abe-a73b-48db-b27e-df9a855e47b4 · outbound
This paper cites an unresolved cited work.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Unresolved cited work
Reference 3
- Resolution
- unresolved
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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 0ebbb077-f065-48cd-9147-145d86daaaab · outbound
This paper cites The trained QKeras models are translated into synthe- sizable C++ usinghls4ml[22, 23].
On-chip probabilistic inference for charged-particle tracking at the sensor edge The trained QKeras models are translated into synthe- sizable C++ usinghls4ml[22, 23]
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:41:40.319675Z
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 f0fb036c-077f-4a9d-8c2f-90fabadcebb9 · outbound
This paper cites These models serve as an indicator of optimal per- formance.
On-chip probabilistic inference for charged-particle tracking at the sensor edge These models serve as an indicator of optimal per- formance
Reference 5
- Resolution
- verified fuzzy
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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 dcf85ec0-c0b3-4c3f-8d8c-9637e41181c2 · outbound
This paper cites 3: Top: Threshold values as a function of epoch in the training of the Max transformer with SoftQuantize.
On-chip probabilistic inference for charged-particle tracking at the sensor edge 3: Top: Threshold values as a function of epoch in the training of the Max transformer with SoftQuantize
Reference 6
- Resolution
- verified fuzzy
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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 bb84d6ce-3b59-4cf1-b834-ba1c7ca9a74f · outbound
This paper cites an unresolved cited work.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Unresolved cited work
Reference 7
- Resolution
- unresolved
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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 d6303915-597f-4a0f-830e-c90daaec8a7e · outbound
This paper cites optimistic.
On-chip probabilistic inference for charged-particle tracking at the sensor edge optimistic
Reference 8
- Resolution
- malformed identifier
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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 c283ec54-fb72-45b3-bf55-3169316d795a · outbound
This paper cites an unresolved cited work.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Unresolved cited work
Reference 9
- Resolution
- unresolved
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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 de81746c-a6d8-48dd-969e-edf887ebd18b · outbound
This paper cites The Compact Muon Solenoid experiment, JINST 3, S08004.
On-chip probabilistic inference for charged-particle tracking at the sensor edge The Compact Muon Solenoid experiment, JINST 3, S08004
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:41:40.378837Z
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 cb4fe259-1bf0-485b-ac02-bc1250c3b544 · outbound
This paper cites Einsweiler and L.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Einsweiler and L
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:41:40.323347Z
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 e77b2e10-c72d-4fb2-9076-e057f4b05d8f · outbound
This paper cites Contardo, M.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Contardo, M
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:41:40.366010Z
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 408964bf-c757-4521-996b-b47a56f6513b · outbound
This paper cites Tracking Triggers for the HL-LHC.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Tracking Triggers for the HL-LHC
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:40:21.201499Z
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 e704c590-89e8-4e4c-aae5-e97c013e9d11 · outbound
This paper cites Bishop,Mixture density networks, Working Paper (As- ton University, 1994).
On-chip probabilistic inference for charged-particle tracking at the sensor edge Bishop,Mixture density networks, Working Paper (As- ton University, 1994)
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:41:40.335927Z
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 79e7dfdc-1340-4280-b8c1-68eaf9432c7d · outbound
This paper cites Coussy and A.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Coussy and A
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:41:40.327116Z
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 2dd1f9b1-73e5-48fc-b74c-c78ab4ed7ab0 · outbound
This paper cites Shekaret al., Smartpixels 16×16 datasets, 10.5281/zenodo.18472791 (2026).
On-chip probabilistic inference for charged-particle tracking at the sensor edge Shekaret al., Smartpixels 16×16 datasets, 10.5281/zenodo.18472791 (2026)
Reference 16
- Resolution
- verified exact
- doi, observed 2026-05-15T21:40:19.904615Z
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 6364095b-0fcb-4453-a09d-bb1323580636 · outbound
This paper cites an unresolved cited work.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T21:41:40.354420Z
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 2cab5a97-1c89-42fa-bc9f-e67bbae5ce6c · outbound
This paper cites Swartz,A Detailed Simulation of the CMS Pixel Sen- sor, Tech.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Swartz,A Detailed Simulation of the CMS Pixel Sen- sor, Tech
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:41:40.382878Z
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 393a4fdd-1626-4fa8-a937-2bc9c4c399b4 · outbound
This paper cites Abadiet al., TensorFlow: Large-scale ma- chine learning on heterogeneous systems,https://www.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Abadiet al., TensorFlow: Large-scale ma- chine learning on heterogeneous systems,https://www
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:41:40.309394Z
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 cf90aa4f-937c-4b11-a360-ce812a6d20dc · outbound
This paper cites Cholletet al., Keras,https://github.com/fchollet/ keras(2015).
On-chip probabilistic inference for charged-particle tracking at the sensor edge Cholletet al., Keras,https://github.com/fchollet/ keras(2015)
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:41:40.358169Z
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 8d9d0afb-19ee-48f1-804f-ff9c883ecb8d · outbound
This paper cites Dozat, Incorporating Nesterov Momentum into Adam, inProceedings of the 4th International Conference on Learning Representations, pp.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Dozat, Incorporating Nesterov Momentum into Adam, inProceedings of the 4th International Conference on Learning Representations, pp
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:41:40.331669Z
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 de489c47-3c06-4e74-bb5f-cf9874c9f33d · outbound
This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.
On-chip probabilistic inference for charged-particle tracking at the sensor edge MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:40:21.183010Z
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 5587ced8-ecf0-416c-b288-20b931631c88 · outbound
This paper cites Xception: Deep Learning with Depthwise Separable Convolutions.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Xception: Deep Learning with Depthwise Separable Convolutions
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:40:21.188628Z
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 19a8db4a-d13e-4114-96fc-854548306bdc · outbound
This paper cites Cottini, E.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Cottini, E
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:41:40.346871Z
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 a3e5e093-eda7-43af-9219-f386430e7966 · outbound
This paper cites an unresolved cited work.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T21:41:40.370463Z
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 f3e8160a-eedd-40ab-88e9-494a1217957f · outbound
This paper cites Attention Is All You Need.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Attention Is All You Need
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:40:21.165613Z
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 f4d9a026-4284-493b-8d3a-c1d7328f5f7e · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
On-chip probabilistic inference for charged-particle tracking at the sensor edge An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:40:21.177246Z
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 f5ce19b0-063b-4eaa-ab76-b8cf9c568906 · outbound
This paper cites hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices.
On-chip probabilistic inference for charged-particle tracking at the sensor edge hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:40:21.195016Z
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 a5252f2e-7424-4903-b6de-91bc9da51e26 · outbound
This paper cites Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:40:21.170945Z
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 c809eda0-6a19-4eaa-9683-c5648464a483 · outbound
This paper cites an unresolved cited work.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T21:41:40.339512Z
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 c6902793-be2f-4fcd-a9bd-ef7ba11c9346 · outbound
This paper cites Fast inference of deep neural networks in FPGAs for particle physics.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Fast inference of deep neural networks in FPGAs for particle physics
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:40:21.160245Z
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 33620f8e-aa37-4b7f-bdca-1ada4c7b0be9 · outbound
This paper cites sw.siemens.com/en-US/ic/ic-design/ high-level-synthesis-and-verification-platform.
On-chip probabilistic inference for charged-particle tracking at the sensor edge sw.siemens.com/en-US/ic/ic-design/ high-level-synthesis-and-verification-platform
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:41:40.399676Z
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 47149de6-0e4e-4986-9337-ea4bac8eca73 · outbound
This paper cites Swartz, D.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Swartz, D
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T21:41:40.395404Z
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 a5e92129-97ee-4f11-963c-3d54b022b175 · outbound
This paper cites Fast (optical) Links.
On-chip probabilistic inference for charged-particle tracking at the sensor edge Fast (optical) Links
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T21:40:21.153800Z
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.
Pith citing papers
No inbound Pith citation observations are available.