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Paper Citation Record · LEDGER

Robust Diffusion Models via Divergence-Induced Weighted Denoising

As of 7 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2606.22521.

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

pith.paper-citation-record.v1
2606.22521 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T09:44:34.739162Z

measured 19 of 19 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5cd2aeac-dc79-4e73-b603-afd57c3b29ef · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

Robust Diffusion Models via Divergence-Induced Weighted Denoising Advances in Neural Information Processing Systems (NeurIPS) , year=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-26T09:44:34.739162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:feffec6a7b5f2187a4af62df4c2daa6752bc30f8a6e4daabd220f786f29a40db

Observation e3aa34ab-bef5-4527-ab06-7e21017a1266 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Robust Diffusion Models via Divergence-Induced Weighted Denoising International Conference on Learning Representations (ICLR) , year=

Reference 2

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unresolved
no resolver link, observed 2026-06-26T09:44:34.739162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:7be5eafe6bedd6c03543336ddb5088ccc937bd934549943551ad876fdc28760f

Observation 1ef0e0c2-3edd-4814-9551-6f555e4663c0 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

Robust Diffusion Models via Divergence-Induced Weighted Denoising Advances in Neural Information Processing Systems (NeurIPS) , year=

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-26T09:44:34.739162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:811776fcbac4cdeaa6ba4875e13392a553f52ac36281e2e70de4c27c1ffc3fd0

Observation 481b1a56-0590-44ab-8d97-3a4ce86bea65 · outbound

This paper cites IEEE Transactions on Information Theory , volume=.

Robust Diffusion Models via Divergence-Induced Weighted Denoising IEEE Transactions on Information Theory , volume=

Reference 4

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unresolved
no resolver link, observed 2026-06-26T09:44:34.739162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:82bdbe59ba90516a578f9f7b8f97a26b1f448d73305b0470bac98819b0eb94d2

Observation 88accb4f-dc8b-4ae6-ba7f-d2bd28cf0255 · outbound

This paper cites an unresolved cited work.

Robust Diffusion Models via Divergence-Induced Weighted Denoising Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-26T09:44:34.739162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:007853df34497a8167ce65bf72fb7eb52e2b1e4d2dcc667f4fce8910b0db5a23

Observation 5ea90121-1978-4a1a-b797-05c970e7d011 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Robust Diffusion Models via Divergence-Induced Weighted Denoising International Conference on Learning Representations (ICLR) , year=

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-26T09:44:34.739162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:0b22e37ffb1d2a13073ed621616786e6a234960da7564be25757cc7e26e36d73

Observation df52533d-b63e-4094-afee-8dd6cc3c8f68 · outbound

This paper cites arXiv preprint arXiv:2511.17974 , year=.

Robust Diffusion Models via Divergence-Induced Weighted Denoising arXiv preprint arXiv:2511.17974 , year=

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:39:46.581163Z

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=2026-06-26T09:44:34.739162Z digest=sha256:a6a380c8681dd36265108c71e03e85769f6b88f92cdab5b41f97eea355e00011

Observation d97a348f-23f8-4f02-97c1-6ace881efdbe · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Robust Diffusion Models via Divergence-Induced Weighted Denoising International Conference on Learning Representations (ICLR) , year=

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-26T09:44:34.739162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:8ae818e1d6ffb9ccb8212058207067b2c95dc57a79531e696847b07676a557b2

Observation 84d21dc7-cef6-4a8b-bd40-793772c919e2 · outbound

This paper cites The Annals of Mathematical Statistics , volume=.

Robust Diffusion Models via Divergence-Induced Weighted Denoising The Annals of Mathematical Statistics , volume=

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-26T09:44:34.739162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:8a7c8940e5d625bdc88cdc225e350cd56ad0cf4f19621bff17335d00c1dc2992

Observation 348b86d7-212d-4a44-810a-db9e191eb857 · outbound

This paper cites One-step Diffusion Models with $f$-Divergence Distribution Matching.

Robust Diffusion Models via Divergence-Induced Weighted Denoising One-step Diffusion Models with $f$-Divergence Distribution Matching

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:39:46.583952Z

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=2026-06-26T09:44:34.739162Z digest=sha256:7b73e212b0dfbe99ec05d793d3169561db86866ebe50d29cac83d4b115932aeb

Observation 4c6a17c8-5ed3-4685-b643-4383403b8235 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

Robust Diffusion Models via Divergence-Induced Weighted Denoising Advances in Neural Information Processing Systems (NeurIPS) , year=

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-26T09:44:34.739162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:1814022cb1c2d2d2b586bb76bbf6625caff2c394555e23a1555aef1116ae6db7

Observation f1919c07-ba5b-452c-a45d-591fa942ce36 · outbound

This paper cites International Conference on Machine Learning (ICML) , year=.

Robust Diffusion Models via Divergence-Induced Weighted Denoising International Conference on Machine Learning (ICML) , year=

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-26T09:44:34.739162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:fd6e823be1122ae899ace51d06a1f0f9bf0d961b0306593a80479bb7e7e42295

Observation 05634c5b-d7c4-43fa-8d98-646fcadc211c · outbound

This paper cites an unresolved cited work.

Robust Diffusion Models via Divergence-Induced Weighted Denoising Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-26T09:44:34.739162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:c120c581ae1ba3857f1132140d628c5d724f03113fa1b489b9559fd02c096403

Observation dee8ee70-ecde-494e-9e3d-dea30e0b327e · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Robust Diffusion Models via Divergence-Induced Weighted Denoising International Conference on Learning Representations (ICLR) , year=

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-26T09:44:34.739162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:80703623eed7de07ad86bb1e5e3967be5151272cee367ac69154579b36dc71f7

Observation 98bd81ad-5c31-460c-a35f-edac23c4737d · outbound

This paper cites International Conference on Machine Learning (ICML) , year=.

Robust Diffusion Models via Divergence-Induced Weighted Denoising International Conference on Machine Learning (ICML) , year=

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-26T09:44:34.739162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:35c0a58e2af048ad32c7bdfe84b8746d57292ef0a82029f8dfffd9d109f9d158

Observation 46ff1569-809a-4574-80b8-c9d91150a4e3 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

Robust Diffusion Models via Divergence-Induced Weighted Denoising Advances in Neural Information Processing Systems (NeurIPS) , year=

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-26T09:44:34.739162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:cc1a3e675a024397f2dfb00e8efa4ca54df432474471f5ab02e38bca9455e765

Observation e8baed16-d38c-4707-9dce-ffaa269c8b83 · outbound

This paper cites Journal of Statistical Planning and Inference , volume=.

Robust Diffusion Models via Divergence-Induced Weighted Denoising Journal of Statistical Planning and Inference , volume=

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-26T09:44:34.739162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:82d56b6c5fcc6a2edf0af3a88ae985c3e6c711f38a728dd625ebf7a4deaf2517

Observation 8c4d4a37-dc12-4db1-aaec-5503a321c961 · outbound

This paper cites an unresolved cited work.

Robust Diffusion Models via Divergence-Induced Weighted Denoising Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-26T09:44:34.739162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:c8e677fc6be466009d772cd761ee92ffc655d541d5bfec6d65c4902bd0875a83

Observation 1df43f5c-001c-49de-beb5-c71aef990c23 · outbound

This paper cites an unresolved cited work.

Robust Diffusion Models via Divergence-Induced Weighted Denoising Unresolved cited work

Reference 19

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unresolved
no resolver link, observed 2026-06-26T09:44:34.739162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:ef4e6bc9461fbc802421163949b8a6ef3957080198ab79c1b18e19b5e60f8eb4

Pith citing papers

No inbound Pith citation observations are available.