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Paper Citation Record · LEDGER

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs

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.

pith.paper-citation-record.v1
2510.10628 v3

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T08:23:48.319099Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

45 of 45 outbound references displayed

  • verified exact5
  • verified fuzzy24
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc9072ad-b5e1-4020-93db-ba99340ba548 · outbound

This paper cites CEPC Conceptual Design Report: Volume 2 - Physics & Detector.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs CEPC Conceptual Design Report: Volume 2 - Physics & Detector

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-18T08:26:06.408693Z

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.

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Observation a16c5921-55af-4cfe-9d4d-0d888260c32d · outbound

This paper cites Gao,Cepc technical design report: accelerator,Radiation Detection Technology and Methods 8(2024) 1.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.227602Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:124259afe65b598e572e69193af1ea69626e5debcf36c40af49b2e1b2c057c0c

Observation 5deb41e9-8ab3-4c37-a8a2-6cb700e7c07c · outbound

This paper cites Blondel and P.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Blondel and P

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.229849Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:d5958b1381902fb29e17ef682be163c4d36726c7f06a21be46ef8a5d8e822d60

Observation d018d964-d0ce-43be-8fe6-4e953c43aa53 · outbound

This paper cites an unresolved cited work.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-18T08:26:07.221298Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:27d07614830d06954841a21c7519e94e49c514add85de0d8abe951d6a99cf334

Observation aaee0b54-bb4c-4eaf-9d86-ece0b9705b65 · outbound

This paper cites Belle II Technical Design Report.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Belle II Technical Design Report

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-18T08:26:06.413218Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:dc50637e939a9ed6d13102e5deef82cf59479c58a134d1a8811b4829a13c5afa

Observation 5041a157-a0f2-422c-91de-014605754173 · outbound

This paper cites an unresolved cited work.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-18T08:26:07.224087Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:0a88be66414aab875cbafe034c17553b82716aab7d0a07a27837597e03e2854a

Observation 98294743-6bb0-4be2-9cbe-bc25644cbfa5 · outbound

This paper cites Anderson, J.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Anderson, J

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.233250Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:5a2bce607db18cd915a4dca557b64dd905d54ed63e0fb656a9742f2eaee22d05

Observation 09fd4a98-51bb-4357-b7de-cbd511906aa5 · outbound

This paper cites Davidenko, B.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Davidenko, B

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.116221Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:9f8f1f1488d92e9ffc4c66d1128100ea3681f87458495608c9fba2e18d11c5ee

Observation c9f1f490-dbbd-44b4-a687-72429cb6d8b4 · outbound

This paper cites Cataldi, F.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Cataldi, F

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.153333Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:d382a165655e8797274c8fe4bb7e763d46efb2bc2f4b84a3a19aba9b4639f499

Observation da7ee531-c25d-4877-b9f4-ddfd2a8d9396 · outbound

This paper cites Chang, H.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Chang, H

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.156210Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:3ccf935fcbd8effdfd4a87e5078fde181277ba95a9fa340cf59d5e521c1b7303

Observation a0e001d5-f3d8-4f79-b9aa-7d6039271c01 · outbound

This paper cites an unresolved cited work.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-05-18T08:26:07.150294Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:b5bcd78c01209f45762f6a9a4a3721146821cbae8a0f97075ea572748ba23a7f

Observation 6173dbc2-4c7b-4b2c-871b-ab9b6f7dc903 · outbound

This paper cites Giomataris, P.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Giomataris, P

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.159756Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:eff5902d5cded6c5fb424da192c08ba5797f85cb8fe553db1ff89efa1688bbb7

Observation 5e935f9c-995a-4a23-a8c7-3236eb7825eb · outbound

This paper cites an unresolved cited work.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-05-18T08:26:07.128953Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:05a033f2e07215b35040d9b73d4508eead62c57a10c8337da71051d2c19d91da

Observation 8dae33f9-61e0-4cb7-bd01-936c8e6b2cd2 · outbound

This paper cites Garfield++: Simulation of tracking detectors.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Garfield++: Simulation of tracking detectors

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.168662Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:2e9640645946adb324a0afc306af07a2ab333cc017392f3ea398f3024bdbe437

Observation 093cc8ea-2b03-4200-8d54-ee36aea2a45b · outbound

This paper cites Veenhof et al.,Garfield, a drift chamber simulation program, inConf.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Veenhof et al.,Garfield, a drift chamber simulation program, inConf

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.197481Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:5897e2c4b147b5dff3c5d8ce764fcfcd061cd6437dc6d77df4ed9bf0f9010389

Observation 44aaafa0-d269-4818-9a57-638b503e856b · outbound

This paper cites Zhang, B.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Zhang, B

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.218542Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:341d08c2a2c9edfee124d87e1f4e7ee416aa05e38b06f8940336eeff14debd85

Observation 44bd92eb-01c0-4ad4-b9b2-721518f14727 · outbound

This paper cites Chang, H.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Chang, H

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.200638Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:cbed19bf575e65f2d6d3532832aa83b2f85883dc1ed1b7735d0d97ef337019d0

Observation 1b3c67b3-8686-4620-9878-7669a1dcc28c · outbound

This paper cites an unresolved cited work.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-05-18T08:26:07.206490Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:69a02c081407ac8e9d7b3924334835443f9d331631fabb385d68533959fa0700

Observation eeba069f-fa4c-4124-9808-396c35e4795e · outbound

This paper cites Pólya,Sur quelques points de la théorie des probabilités, inAnnales de l’institut Henri Poincaré, vol.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.215261Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:d1b42e98baab5857448de91260fa6548c7f88bad0f9b996e95043ba14cc8d5e1

Observation e8f53343-baeb-4f87-b08c-0358a0dd7b5e · outbound

This paper cites Lippmann,Particle identification,Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment666(2012) 148.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.191582Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:ea5e2ddf918869609775b85b73233aebd819d8d66c0db7141e0875f71ba5eb51

Observation c2a3d60b-07b5-4cb1-a70f-33a8e11e858f · outbound

This paper cites Vaswani, N.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Vaswani, N

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.194451Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:80c34f745c6ca994d8997c8026e6cd181fdd07002d43a658d812d5437628bd7e

Observation 8bbc1263-27e5-40a9-8e36-94d0125162a2 · outbound

This paper cites Krizhevsky, I.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Krizhevsky, I

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.180052Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:ae56025073cd6c91e99e5efd27b586d505cc2db239328a94172219e8b432f35f

Observation 6eee53a3-687d-40f6-a66d-598b8e51532a · outbound

This paper cites LeCun, B.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs LeCun, B

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.182674Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:a6f006112db83aa295d427b17b5b78c24e39c13efe424bc98011ae37b9d8d55c

Observation 5b9a591c-bd4e-479c-94ce-ebcb4ac266af · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-18T08:26:06.404661Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:b974c7f874f0be8192f34f8cf585e14dc7bf2dc0a59751291f2eafe4dbfc16fb

Observation 993b582f-4643-4c4e-b1ec-624d2f5229fc · outbound

This paper cites an unresolved cited work.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-05-18T08:26:07.188370Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:d36bd9649f6521b0c5ff2267052b6fa512ec424687206e03e21b558e46bb718b

Observation c18ed36f-d272-4649-9138-34e8026880b2 · outbound

This paper cites an unresolved cited work.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-05-18T08:26:07.185524Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:fce13d1e88c15bcb21f237e54bf13333fb2015fd26a90215cf2ce0a694f6a8f7

Observation da031ae4-520f-44da-83ec-c8879eaa413d · outbound

This paper cites an unresolved cited work.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-05-18T08:26:07.212111Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:41ee57fea9a4eeac64ed59523cef1ec34ac40c89152b66995267e3118126a9aa

Observation 8b9ef3a1-042c-4fa3-bc09-d2428cd102f6 · outbound

This paper cites an unresolved cited work.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-05-18T08:26:07.177131Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:b9feaf5770cf4f472c606f156dce458896873cc6949d62c9cab49f83da4aa214

Observation 54640831-4dc7-49b2-a017-587b9f958965 · outbound

This paper cites an unresolved cited work.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-05-18T08:26:07.162696Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:2c1443beadf5a57fb6456c55a4686c3ec3d90785f69d9885975ee398fb47a954

Observation 07ccf474-fcaf-4c46-be8f-11a1eba5a9ab · outbound

This paper cites an unresolved cited work.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-05-18T08:26:07.146464Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:7ac21da56562463b08835366dc22266bad160238164b9cfc04a1da428b94c164

Observation 1ece8052-dc69-4222-b5cc-02b1335e5b10 · outbound

This paper cites Scarselli, M.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Scarselli, M

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.140954Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:e9c86749fc6452b28b640b274e2753b989d0e272124f6ad4942607698d9c59d7

Observation 53baee68-1da2-483f-af12-4137b33f4ede · outbound

This paper cites an unresolved cited work.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-05-18T08:26:07.143841Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:f824f3435fec45b48227c7b798b8b6223888ca233ab47aba2422d3f0123ea521

Observation 7c7c9abf-654e-4599-9906-519a160dc040 · outbound

This paper cites Shi and R.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Shi and R

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.209222Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:81868dcdd7ff2b059e7a8f652c0f3add015234445107cf9be695e7df9a7efa84

Observation e3a2e05d-a0ce-4b1d-a372-20e4443fdeda · outbound

This paper cites an unresolved cited work.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-05-18T08:26:07.131850Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:ba5003ff891726d3852ffc6edc3b7b5b512968933af50229dcc5b1db232399a1

Observation a4c4742d-8bff-4733-b940-f7dfbcfe7b39 · outbound

This paper cites PointViG: A Lightweight GNN-based Model for Efficient Point Cloud Analysis.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs PointViG: A Lightweight GNN-based Model for Efficient Point Cloud Analysis

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-18T08:26:06.395980Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:ead190ce386577cb1df0a696234c71972a22db904c30ec0b4439b4a8a4d081b1

Observation 05eb70e0-9b3c-463d-bfd6-4db703d02c63 · outbound

This paper cites Caron, C.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Caron, C

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.165532Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:2f9bfecc78c1e179f4cb302c419f8f9d94ff04a68c085a15fcc4cde462e8cceb

Observation fc21e28d-baba-4fd9-9ef1-3ff660cfb623 · outbound

This paper cites Caputo, G.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Caputo, G

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.126190Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:a8a22e8a951a520d434438a21c1fa4fb13ce37a1cd6881e829f40796df4da42b

Observation 2ac3a83d-aec3-4a89-8280-a0e57fe0e637 · outbound

This paper cites an unresolved cited work.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-05-18T08:26:07.137503Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:e97d61c08a70a585543039190f29ca9f3ba3d07ae9bace2a44c135a3ad6117de

Observation 3b464997-bb1a-4e2d-8553-98243cf0a83e · outbound

This paper cites an unresolved cited work.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-05-18T08:26:07.119414Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:467e6bfd6a23ebaeed7478cba9de2d03e74a4ae8f55b8330c2c812c20edace8f

Observation f7676e43-3706-4c11-bde5-cf999c6643f4 · outbound

This paper cites an unresolved cited work.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-05-18T08:26:07.134612Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:b8d59d9ca53b37131a21209f13b6b145b6bc4eb6eae5dbd6a127d16f50479789

Observation 10814b65-ce78-447a-98c7-97036c81d163 · outbound

This paper cites Kantorovich,On the translocation of masses, inDokl.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Kantorovich,On the translocation of masses, inDokl

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.122783Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:f51e8add9201acf35ece726e5202533f4588bada1bab338b42bf99b87cedf6f3

Observation 06801bae-a89e-48ff-86b5-816cacf666f0 · outbound

This paper cites Ronneberger, P.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Ronneberger, P

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.203675Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:f69e3f95bdba59f5788a78c6cb7da25191a17c1cbf9670e689f1fcf2aedf6fe9

Observation a9ac71a3-5a9b-4aba-956c-654a328f1b20 · outbound

This paper cites Decoupled Weight Decay Regularization.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Decoupled Weight Decay Regularization

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-18T08:26:06.399922Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:7d0f20ed559ae2a4b35b66540ecd4188e4a81c926ed872abca7fe5546126179a

Observation c8d27778-fbd8-4e22-9233-7383201900a9 · outbound

This paper cites Diener, J.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Diener, J

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.171429Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:141a118e8370148061e4f9a977da97a25d3cabb12d1b9ffb467725ead998effa

Observation aa90de39-686f-4aa0-86d4-542288f5bb64 · outbound

This paper cites Colaleo, L.

dN/dx Reconstruction with Deep Learning for High-Granularity TPCs Colaleo, L

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T08:26:07.174709Z

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.

source=pdf_text observed=2026-05-18T08:23:48.319099Z digest=sha256:c81b832dc8137e361d3ba01cbf2dbcd4b5612b89b09866c7855ccf73586498cd

Pith citing papers

No inbound Pith citation observations are available.