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Paper Citation Record · LEDGER

Understanding Hallucinations in Diffusion Models through Mode Interpolation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2406.09358.

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

pith.paper-citation-record.v1
2406.09358 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:34:05.623021Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 63f3bf96-c485-4a3f-8b6c-359036fb9413 · inbound

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models cites this paper.

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models Understanding Hallucinations in Diffusion Models through Mode Interpolation

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T00:42:11.950301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-15T00:42:11.891829Z digest=sha256:84a4302d923e0abc87094c89451e8b0068ccfd8661e00c8ee39cc420dbf146b7

Observation 33c35c84-88b1-4883-a4a6-97a190af37ed · inbound

Image Generation Diversity Issues and How to Tame Them cites this paper.

Image Generation Diversity Issues and How to Tame Them Understanding Hallucinations in Diffusion Models through Mode Interpolation

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:05.623021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:05.623021Z digest=sha256:0f7a522739f0f8763e964a320385a82ad64ebaf49af9b1ac0c6d6cb5c783bbc3

Observation 15457dc0-d563-484d-8da1-575819d8cf8d · inbound

Memorization and Regularization in Generative Diffusion Models cites this paper.

Memorization and Regularization in Generative Diffusion Models Understanding Hallucinations in Diffusion Models through Mode Interpolation

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T14:00:40.818126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:00:40.818126Z digest=sha256:d2b4cad2446314ac488dcf8cceee2b34fb1dd4b75a5f49e83efd7c576605a3ff

Observation ebcb9cd8-0ed6-40ce-88ff-c541896a2897 · inbound

Visual Autoregressive Modeling for Image Super-Resolution cites this paper.

Visual Autoregressive Modeling for Image Super-Resolution Understanding Hallucinations in Diffusion Models through Mode Interpolation

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-09T21:47:59.511502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:47:59.511502Z digest=sha256:cc14bcee9dc07a0f6cab7bf081d09d1a6f3e59c65ae65335f41fc0d1697f1cc4

Observation 34648384-0b30-490a-a172-8f91677b19e1 · inbound

Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? cites this paper.

Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? Understanding Hallucinations in Diffusion Models through Mode Interpolation

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T21:50:24.489286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:50:24.489286Z digest=sha256:7996e0dcbb6d7e5ab73e787a1eaeb710b2bdbced02d8732d6b3c66a22989dac5

Observation b2dc42e6-3a22-4b3b-beb7-833047f46656 · inbound

On Inverse Problems, Parameter Estimation, and Domain Generalization cites this paper.

On Inverse Problems, Parameter Estimation, and Domain Generalization Understanding Hallucinations in Diffusion Models through Mode Interpolation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:17:15.664677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T11:13:17.446203Z digest=sha256:6965fa6651ab4239f3e8f09abca2f8d09bc0a660cb65ccbef3a6779443086a23

Observation dd691567-6358-4d90-b134-c657d3b63dcd · inbound

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models cites this paper.

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models Understanding Hallucinations in Diffusion Models through Mode Interpolation

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:30.296095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:30.296095Z digest=sha256:8c21b06650fa528848dbfec7b9ac89313e321744ee90092d8a8ec726b12b1c3d

Observation 5f967514-259a-4ae0-8696-7f5a5b6df308 · inbound

CUTE-MRI: Conformalized Uncertainty-based framework for Time-adaptivE MRI cites this paper.

CUTE-MRI: Conformalized Uncertainty-based framework for Time-adaptivE MRI Understanding Hallucinations in Diffusion Models through Mode Interpolation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T18:24:13.656218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:24:13.656218Z digest=sha256:464c559a4edcb52220e88627b24c2d4a92b232307b8b13adec386ff15acc4695

Observation dd664bf3-8b59-422c-8bf8-ce5a11b6977b · inbound

The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety cites this paper.

The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety Understanding Hallucinations in Diffusion Models through Mode Interpolation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:53:11.555337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T17:52:24.593978Z digest=sha256:0079fd007f3e1a69c8d3f81325f9d488c51dd1beb3722d607908a90d90491b2c

Observation 01d22060-9db6-4947-a522-f985e0142a34 · inbound

The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety cites this paper.

The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety Understanding Hallucinations in Diffusion Models through Mode Interpolation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:10:24.879231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T17:07:57.069386Z digest=sha256:51fc12118726502d8b7540d37545310e92aa1a7a891b18c444a620a777deee55

Observation 27604259-8dca-4ba9-9b34-963c9cbac11e · inbound

The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety cites this paper.

The Homogenization Problem in LLMs: Towards Meaningful Diversity in AI Safety Understanding Hallucinations in Diffusion Models through Mode Interpolation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T13:00:22.230501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:00:22.230501Z digest=sha256:28c2afcf2e35501b469499c697289c45170a3ae24135a6fb779f9dc46157e525

Observation 7d8437bb-2dd1-471a-b6f4-974d6c350483 · inbound

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing cites this paper.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Understanding Hallucinations in Diffusion Models through Mode Interpolation

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T20:18:59.342985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-20T20:15:44.030714Z digest=sha256:19dd2c8c8496665c1fafcf058cbe1e30b45f1877f807efaef5c62d609f7a1b6a

Observation d8528f5d-ef01-47e1-b138-f5df9d1cbdae · inbound

Mechanisms of Misgeneralization in Physical Sequence Modeling cites this paper.

Mechanisms of Misgeneralization in Physical Sequence Modeling Understanding Hallucinations in Diffusion Models through Mode Interpolation

Reference 77

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T07:44:48.691482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-21T07:44:37.810511Z digest=sha256:1fc303ac6c4894c37e2cd5448c4be936726e0f855da8c82430e68b4f13d71c9d