Pith. sign in

Paper Citation Record · LEDGER

End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.10399.

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

pith.paper-citation-record.v1
2305.10399 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:41:36.830499Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:58:54.772280Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 32b84919-1784-45ba-a646-1d6ec33bf013 · inbound

How to Unfold Top Decays cites this paper.

How to Unfold Top Decays End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T17:18:45.976122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:18:45.976122Z digest=sha256:847098f5109998a9a2d36e6e314e0529f5ef8aad40ec151bf2938c1038baa4d3

Observation b81ac8be-5462-47f4-ab5d-7ee5535740dd · inbound

Simulation-Prior Independent Neural Unfolding Procedure cites this paper.

Simulation-Prior Independent Neural Unfolding Procedure End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T15:48:38.668518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:48:38.668518Z digest=sha256:2401e0e956b077c001342947f1eeaaa243abb9296c91f388300cd25c8e1a1942

Observation 321693f9-9459-407a-8b93-aa1178fa7248 · inbound

Analysis-ready Generative Unfolding cites this paper.

Analysis-ready Generative Unfolding End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T16:41:36.830499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:41:36.830499Z digest=sha256:2146231f3d8b85acd9d7767c5adc275ac43ba35fb5f456cdffafe45426b875d4

Observation a7334fed-8623-4bc6-b6da-c30fd3987c26 · inbound

Reweighting Adversarial Networks for Unbinned Unfolding cites this paper.

Reweighting Adversarial Networks for Unbinned Unfolding End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-02T14:27:03.849809Z

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=2026-06-28T00:28:42.520230Z digest=sha256:298bb9274763156e1100c786cffb583eb5202ddbe0456005640a81c0cf170aed

Observation be8b959e-ac6e-46b9-9390-b905cde1672a · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:58:54.773593Z

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=arxiv_source observed=2026-07-03T19:29:34.070294Z digest=sha256:315d6401bc1e09ced91a0f3250b4cd1ee95afc574226b261105e34f1dee881fa

Observation c8360f61-b28f-428b-9775-9192ab975f57 · inbound

Generative Amplification with Surrogate Monte Carlo cites this paper.

Generative Amplification with Surrogate Monte Carlo End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T14:39:56.683362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:39:56.683362Z digest=sha256:f73aa49bc95713b5e57ad5ab01fe993bef4b547bc3ce7b8bbe8681eec53a777c