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Paper Citation Record · LEDGER

Robust Diffusion Models via Divergence-Induced Weighted Denoising

As of 21 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 2026-08-20T06:33:59.587034+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=sha256:399ef6f1a90d4d702f2bd02210e7812e59bb8107954214fc5211d0ba8953b3a8

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

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=sha256:2cd1a2d31334be0ec9f9bc87d9eb224bdd3302421dc63e06ca6248a125917f16

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:b695cc4f6ac8bef8428781ff84adaa55869cfde258dc6b67af79e1999cb0f5a0

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:a4ad33e50b8722d109cf7da4d09f624e5b6eeafea3cac16d8712d0505ca4df89

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=sha256:009feb971f2250357915d5fa1d8dc695aff6f1bd826c5841cd66be6ca683fc9b

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:f023cb77a8491186f1f23feac9c8ec58c8fdd36c84a9ea0ffbfb27b252c830b6

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:2a82e62a3842b333d90dec85ac9621e949df07c9279bbdcc177512aa0f796ca0

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=sha256:3b4020533791efa32121c5a050bcd728fe53f66b6b5473183465826ed025e877

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=sha256:0e8a55c83ca624f2e08890ace2b1dc7b6deb6d5d66075cf36d32af06251418f8

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-26T09:44:34.739162Z digest=sha256:0480a39ff6c190944febe9d464763a87cc750505619e045dc6c2d5e8a8ce2aaa

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=sha256:259e6a5e5ae01faf0457c70780da5dbbdcaeeae29460b4e185258ac70de61b4e

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:eafdc83c1419c40df7c3450a12aee152c0fec0e0ebb33aefd2b6b8d6e2256f1c

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=sha256:48560b973d248d0e5fe2bc13d72360666d14c58b057dac34b26eeef50c5d074a

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:cfc47883f45365d2c219c74c020ce6343f13e54481a0fd9a5f8b092cd59cbf30

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=sha256:6c7c6a3a57dc2b942677b69ae8dc0ad89b07fd81301a9807d1d42e0fc9ab5cbc

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=sha256:4757333a36f3d6a5a0b77b0ca3ca79c48e1aa194dfc5609d9bb1f95f65d27267

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=sha256:7f68bd8c8eb49b5bcdfd53fecf943704b039bd0f0ff732446e579ae5277ef070

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:db3d5c748d38f2cd9a839a3fd8d64e3baae2bee11fd61da015c49e46cddb45c4

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

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:f5e36c4f308f7af778d2d0a3b12100432c96d2dc1e5ab0b191526caf3003b53a

Pith citing papers

No inbound Pith citation observations are available.