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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:47.361296Z digest=sha256:bddc6861eefbe33bf12057fe3401a6f4a8ae9862496a7f485351743bc528f812

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:47.425374Z digest=sha256:12e8162d9c127af0de3b57160e3f3c1f9474329951fbab671bf496432ce46b98

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:47.495640Z digest=sha256:b580ed7606243af2712abe14168a79b48f8fc11248fa4b4b44a86d86dd97ce02

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:47.551731Z digest=sha256:df530282d66db6e741fe9b9279c0f927d56af33c86654edcd9738065e52800df

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:47.626132Z digest=sha256:33272513f04a24565a466c66c1f07e67917e2c8b5083d145b5844b2e33fc87d3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:47.678154Z digest=sha256:7e195623184a7ea1762dd77c9849bf28422abd081e59f74d98f2d9c7a31a4239

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:47.742860Z digest=sha256:d2edcc69afc8e8808da6584e627b8a0127fc6a65016a1a4864c4c744e1839fe8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:47.798956Z digest=sha256:071bc79c7a2dc19c822ae092c84db853313b1e77d2dd8c6f8fe498486a0f373a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:47.859619Z digest=sha256:220feb2bd53f07b1b30e6388777a5feff9b0c87cabf0eba482e319ea4588ce4d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:47.927880Z digest=sha256:f95a5d4acad9faa2ea549fcc76cc26ba9dfb80aea0051ec946c4fc76ff3a03df

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:47.992226Z digest=sha256:07739c42daa6fcbdf970328dbdea9cfbd4e35adf331f2ab271013c9851c0d1cd

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:48.064826Z digest=sha256:e598d064bbe66696ab717f7cf3961606b1bbf8a21fa2236dc9060b62483f8895

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:48.093274Z digest=sha256:3c9e6e4f27f493936e7b1085b6ca1829d11135ef944f762ef7fd10f1919de88c

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:48.142325Z digest=sha256:8b230470e04cfc6c021a147aec0cd41aab08bb582a5550baa3aadacc958e7b70

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:48.203186Z digest=sha256:6634552aea03016f8da71dc051c17782ad16e018eb3f2afbc4f447d1676cfed3

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:48.266275Z digest=sha256:3ade7dce3d99315fb3d34262fa9fd151ebf05af7a44051b7a93486f1ef1249a2

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:48.327086Z digest=sha256:5898514d846e1afdebda827d806e0e13e619e04c6d8da5b3d4a95dc79aee84be

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:48.396543Z digest=sha256:6be5f192fd330badac483986fa501336f17b29e3753c628ef37505725e76af12

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:48.568938Z digest=sha256:51fe3b3ce9860d06a6ae2b1e5ff2a8f131e0ee91a1f42355a3e497f97fea15d8

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:48.680722Z digest=sha256:2b7b085d546e6d6afe218a021d4c2d813e18f3459d26cc186ddddfa92f18ab5f

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:48.846035Z digest=sha256:b408251ba164607362e843b39c29540111d704606583166f2b0419110418d2e8

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:48.993199Z digest=sha256:dbf46086aba9e8a322a022ec54ebe46c9a9e90345587444ad894ccfd4d7fb125

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:49.157653Z digest=sha256:6112727da9a55c66bc0179ab30488219bfb254b1d9bca747e2970effc2706ca5

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:49.283928Z digest=sha256:f58648805ac6f4b399a731f3640f3da6b1db553fab39c867e59be514900dc0b8

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:49.400541Z digest=sha256:8f2de1daf483b98ac4e04133c15e45061944c5255d855c7af29336f9423722b6

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:25:49.517003Z digest=sha256:c72622a97f48c49db614dcb452c6d0c662ab443ef3723b76342d995a3607ba1b

Pith citing papers

No inbound Pith citation observations are available.