Pith. sign in

Paper Citation Record · LEDGER

Training Neural Samplers with Reverse Diffusive KL Divergence

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.12456.

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

pith.paper-citation-record.v1
2410.12456 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:20:01.086255Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:08:58.073496Z

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 536e5f22-2691-420d-9cc8-16a93816b43f · inbound

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage cites this paper.

Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Training Neural Samplers with Reverse Diffusive KL Divergence

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:20:01.086255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:20:01.086255Z digest=sha256:442ae0410ffa2ae327dc9e9047f147f76aaaa73b0080ee742ce02a0de0b3c885

Observation b4cca44a-3edb-42c2-a480-b0d6a5594bb7 · inbound

Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework cites this paper.

Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework Training Neural Samplers with Reverse Diffusive KL Divergence

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-05T19:28:36.165145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:28:36.165145Z digest=sha256:4d2dbbec1cd8bf2d364f17e1953f09310dc6d2e928c3f2f489d1d0e0fafe08c9

Observation 1f188ec8-f354-4a15-a97d-8bb4c2d72567 · inbound

Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann Sampling cites this paper.

Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann Sampling Training Neural Samplers with Reverse Diffusive KL Divergence

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-18T18:46:45.400878Z

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.

source=pdf_text observed=2026-05-18T18:43:13.941495Z digest=sha256:e0f0ee289befe8569d50ef80a96e15e81074c741df5a4f63c411c9d3639a21f4

Observation d3077ff9-6652-4186-b5ad-eca6e29a6506 · inbound

On the Blessing of Pre-training in Weak-to-Strong Generalization cites this paper.

On the Blessing of Pre-training in Weak-to-Strong Generalization Training Neural Samplers with Reverse Diffusive KL Divergence

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:36:08.580791Z

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.

source=arxiv_source observed=2026-05-08T14:59:19.883399Z digest=sha256:69c5d1014e90578b993cadc381779287f78740f1bc553395d441b508f381a5ed

Observation d217d265-fb7f-4805-9fbc-50510221aef3 · inbound

Data-Forcing Distillation: Restoring Diversity and Fidelity in Few-Step Video Generation cites this paper.

Data-Forcing Distillation: Restoring Diversity and Fidelity in Few-Step Video Generation Training Neural Samplers with Reverse Diffusive KL Divergence

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:08:58.074990Z

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.

source=pdf_text observed=2026-06-27T00:55:20.691480Z digest=sha256:f919bc992dae07724a1ce544b3eed9dc5f219d94a626b66251ecdf828dd0fa5f