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Paper Citation Record · LEDGER

Deep-Learning Jets with Uncertainties and More

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1904.10004.

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

pith.paper-citation-record.v1
1904.10004 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:29:27.556307Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T08:29:11.163449Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ecd2c062-6796-4ddd-b246-222578352d13 · inbound

Exploring anomalous couplings in Higgs boson pair production through shape analysis cites this paper.

Exploring anomalous couplings in Higgs boson pair production through shape analysis Deep-Learning Jets with Uncertainties and More

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-14T11:29:27.556307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:29:27.556307Z digest=sha256:52ab5f86835cb13d770aaeed64ca196431ebaaa50c1cb19b3ed475f0c4a29840

Observation df6fbad3-5c50-446b-905c-5ec9ee3e27fb · inbound

Optimizing The Cut And Count Method In Phenomenological Studies cites this paper.

Optimizing The Cut And Count Method In Phenomenological Studies Deep-Learning Jets with Uncertainties and More

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:29:11.166888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-24T08:28:28.093588Z digest=sha256:9fcb39e11f4c9512b3b0ea667add4619706b4946c817c1631881e3b0acdf6a72

Observation 681d6725-9220-41d5-b2db-494c1ada3c26 · inbound

Amplitude Uncertainties Everywhere All at Once cites this paper.

Amplitude Uncertainties Everywhere All at Once Deep-Learning Jets with Uncertainties and More

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.992110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T19:21:24.292766Z digest=sha256:5dfb32c6ca8d20b316476795879dad55867af0e91b9fbfa778ac9702776640f6

Observation 45ed0f90-b3b9-413d-8b19-6879c6285f17 · inbound

Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties cites this paper.

Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties Deep-Learning Jets with Uncertainties and More

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-05T13:28:03.887453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:28:03.887453Z digest=sha256:0b517c79323b570a7c94ae6fd63f4f78816f174e1a28df6c988a440dfc569699

Observation 5f51c0d1-9b15-462a-bb03-5683025705f3 · inbound

Forecasting Generative Amplification cites this paper.

Forecasting Generative Amplification Deep-Learning Jets with Uncertainties and More

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T21:31:21.891166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:31:21.891166Z digest=sha256:710742226e935c016a9771596ea6553d0352e19f118ccbbd80523493f132a162

Observation d62ab134-d43e-4fa6-a2b2-04c89dcb4375 · inbound

Unbinned extraction of $\gamma$ from $B\to DK$ with normalizing flows cites this paper.

Unbinned extraction of $\gamma$ from $B\to DK$ with normalizing flows Deep-Learning Jets with Uncertainties and More

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:57.478356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-11T01:01:50.816408Z digest=sha256:31f738c8d3747981d7c0bb775b8d3f8ca4d9ed78d8a6cb1983442312c4e72f2c

Observation 3c32d2ff-d7d1-42e5-8a36-878e5870baa2 · inbound

Uncovering Hidden Systematics in Neural Network Models for High Energy Physics cites this paper.

Uncovering Hidden Systematics in Neural Network Models for High Energy Physics Deep-Learning Jets with Uncertainties and More

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:50:56.030137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-11T02:12:36.594374Z digest=sha256:8abe69de73ef35e273815a6c04a6432bc10508527d80fb0afbbc983df2b971ef

Observation b1cd0a51-7445-4cb3-8ccd-bafc78d4625b · inbound

Agentic Re-Casting using Agentic Re-Simulations cites this paper.

Agentic Re-Casting using Agentic Re-Simulations Deep-Learning Jets with Uncertainties and More

Reference 196

Resolution
unresolved
no resolver link, observed 2026-08-01T04:29:18.666287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:29:18.666287Z digest=sha256:6f05a7315efb834ecc214825784a99ce0675221efada68e149513d4cdba81081

Observation 24cb7899-43c1-4664-9802-c4b7ab75c596 · inbound

Neural Control Variates at LO and NLO cites this paper.

Neural Control Variates at LO and NLO Deep-Learning Jets with Uncertainties and More

Reference 98

Resolution
unresolved
no resolver link, observed 2026-07-30T18:12:21.971117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T18:12:21.971117Z digest=sha256:55cc0abf4ed330beae72b881067cdbc7d3f8befe8d476b80bad8e40b85da97a0