Paper Citation Record · LEDGER

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.02506.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.02506 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:25:49.517003Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy21
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1bc56c9f-30ca-4d1a-a03e-36d6e4934cf2 · outbound

This paper cites Hoyle,On Nuclear Reactions Occurring in Very Hot Stars.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Hoyle,On Nuclear Reactions Occurring in Very Hot Stars

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:54.372362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 017c7533-36d1-498a-b859-493627fdfdcc · outbound

This paper cites an unresolved cited work.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:25:54.208734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0c730d9d-dbf7-492f-bf9e-e173b737f0d3 · outbound

This paper cites 351, (1981), 456 - 480.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network 351, (1981), 456 - 480

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:54.052981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3e103635-e1cc-44ca-b767-187b900b089d · outbound

This paper cites Chernykh et al.,Structure of the Hoyle State in12𝐶, Physical Review Letters, vol.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Chernykh et al.,Structure of the Hoyle State in12𝐶, Physical Review Letters, vol

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:53.843537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6244b3fc-77a7-4090-97c4-869b938d0c7b · outbound

This paper cites Tohsaki et al.,Alpha Cluster Condensation in12𝐶 and 16𝑂, Physical Review Letters,vol.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Tohsaki et al.,Alpha Cluster Condensation in12𝐶 and 16𝑂, Physical Review Letters,vol

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:53.667131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be2f349f-80c6-43fd-90e4-89a161cf3772 · outbound

This paper cites Freer, H.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Freer, H

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:53.416968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 16bfa1e8-0fa7-49ea-aa1d-42760033180e · outbound

This paper cites Smith et al.,New Measurement of the Direct 3𝛼 Decay from the12𝐶 Hoyle State,Physical Review Letters,vol.119, (2017), 132502(1-4).

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Smith et al.,New Measurement of the Direct 3𝛼 Decay from the12𝐶 Hoyle State,Physical Review Letters,vol.119, (2017), 132502(1-4)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:53.232498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fdfb8832-6a7c-4655-81b0-17a698c5f8ee · outbound

This paper cites Rana et al.,New high precision study on the decay width of the Hoyle state in12𝐶,Physics Letter B, vol.793, (2019), 130 - 133.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Rana et al.,New high precision study on the decay width of the Hoyle state in12𝐶,Physics Letter B, vol.793, (2019), 130 - 133

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:53.040652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 719c6ce2-2883-43b1-88d0-0eeb425c2612 · outbound

This paper cites Smith et al.,Stringent upper limit on the direct3𝛼 decay of the Hoyle state in12𝐶,Physical Review C, vol.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Smith et al.,Stringent upper limit on the direct3𝛼 decay of the Hoyle state in12𝐶,Physical Review C, vol

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:52.857425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df1f6364-8742-4b3f-92f5-a589c64be99d · outbound

This paper cites an unresolved cited work.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:25:52.617765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7705b7c1-84ed-46d4-9643-567258eff33a · outbound

This paper cites Marx and David R.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Marx and David R

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:52.421418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46332c35-a14b-49a1-9a93-d1789697a3cd · outbound

This paper cites Ayyad et al.,Physics and technology of time projection chambers as active targets,European Journal of Physics A,vol.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Ayyad et al.,Physics and technology of time projection chambers as active targets,European Journal of Physics A,vol

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:52.222805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5aaa128e-3919-4dd4-94de-e088c4b0a8ec · outbound

This paper cites Bishop et al.,Almost medium-free measurement of the Hoyle state direct-decay component with a TPC,Physical Review C,vol.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Bishop et al.,Almost medium-free measurement of the Hoyle state direct-decay component with a TPC,Physical Review C,vol

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:52.032120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b7ceb2d2-71ad-447e-b1ac-ce41c491114e · outbound

This paper cites Krizhesky, I.Sutskever and G.E.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Krizhesky, I.Sutskever and G.E

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:51.848767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fbef1e90-ef0f-4f6e-adff-c80abfa5009c · outbound

This paper cites Acciarri et al.,Convolutional neural networks applied to neutrino events in a liquid argon time projection chamber, Jour.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Acciarri et al.,Convolutional neural networks applied to neutrino events in a liquid argon time projection chamber, Jour

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:51.683890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d686ca89-6dd6-45f9-9b7f-3d65835d96d5 · outbound

This paper cites Kuchera et al.,Machine learning methods for track classification in the AT-TPC, Nuclear Instrumentation and Methods in Physics Research A,vol.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Kuchera et al.,Machine learning methods for track classification in the AT-TPC, Nuclear Instrumentation and Methods in Physics Research A,vol

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:51.495340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c1b8a3f2-f3b5-44e6-acac-6947feca7653 · outbound

This paper cites 1055,(2023), 168-528.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network 1055,(2023), 168-528

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:51.320886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 82a6df8b-e46d-4dae-97e6-d5ce3a4295b0 · outbound

This paper cites Goodfellow, Y.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Goodfellow, Y

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:51.170007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5e45d0b-584a-4d1c-a10a-e59e598d83b5 · outbound

This paper cites 20,(2025), P001008.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network 20,(2025), P001008

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:50.989837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fdfbfdfc-3cfd-45ae-9450-248d2f62d8df · outbound

This paper cites 389, (1997), 81-86.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network 389, (1997), 81-86

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:50.803590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e748a0ef-c88d-416b-b970-a493e71102d8 · outbound

This paper cites Agostinelli et al.,Geant4—a simulation toolkit Nuclear Instrumentation and Methods in Physics Research A,vol.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Agostinelli et al.,Geant4—a simulation toolkit Nuclear Instrumentation and Methods in Physics Research A,vol

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:50.604974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d7f8609f-33b3-41af-8af0-fce1b4975f78 · outbound

This paper cites an unresolved cited work.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:25:50.418670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4c1c0fe0-e3e8-4c4b-8490-ef36e5175c58 · outbound

This paper cites Veenhof,GARFIELD, recent developments,Nuclear Instruments and Methods in Physics Research A, vol.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Veenhof,GARFIELD, recent developments,Nuclear Instruments and Methods in Physics Research A, vol

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:50.235169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1c4439a1-5331-4b6b-8538-078e456e1c8c · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:49.283928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6abaecc-0dd1-4e62-82f0-33a94b3c7881 · outbound

This paper cites an unresolved cited work.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:25:50.082517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 267b12ea-9551-4df8-b226-1167148ac9d3 · outbound

This paper cites Chollet et alhttps://keras.io/,(2015) – 15 –.

Classification of Hoyle State Decay Branches in Active Target Time Projection Chamber using Neural Network Chollet et alhttps://keras.io/,(2015) – 15 –

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:25:49.795779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.