Paper Citation Record · LEDGER

Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.08315.

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

pith.paper-citation-record.v1
2410.08315 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 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:40:32.192997Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:20:07.836613Z

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 0081a7f8-2acc-4de4-a885-da8b63eac5e7 · inbound

ResidualDroppath: Enhancing Feature Reuse over Residual Connections cites this paper.

ResidualDroppath: Enhancing Feature Reuse over Residual Connections Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T20:40:32.192997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f2ab04b-555e-42a1-9616-4ebc2836031c · inbound

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models cites this paper.

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T19:53:46.276873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2fdce7f-f629-43a8-962b-76bb9cac969c · inbound

Primitive-based Truncated Diffusion for Efficient Trajectory Generation of Differential Drive Mobile Manipulators cites this paper.

Primitive-based Truncated Diffusion for Efficient Trajectory Generation of Differential Drive Mobile Manipulators Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:01.874452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e2f9b314-e3e0-4062-9d10-347593439b5e · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning

Reference 204

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T05:39:40.972146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 752b398b-4dd5-4dd8-b1d6-bf64d9f984a4 · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning

Reference 204

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T21:57:25.616958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 249d99f8-f3d6-4fe2-8b10-9abfb6d58da0 · inbound

An Analysis of Posterior Collapse, Parameterization and Initialization in Variational Deep Gaussian Processes cites this paper.

An Analysis of Posterior Collapse, Parameterization and Initialization in Variational Deep Gaussian Processes Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:20:07.838910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.