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Paper Citation Record · LEDGER

Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.16872.

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

pith.paper-citation-record.v1
2502.16872 v1

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 2026-07-14T16:28:17.428855Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:25:59.975077Z

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 eec9d3ca-be95-4615-80c4-4e2c0a897cdd · inbound

IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions cites this paper.

IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:44:55.217539Z

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=2026-05-22T14:42:28.669746Z digest=sha256:933c61c0e767605fd23092324fcf283187ea38fe8a98fa86389d35e93d04f72d

Observation 999b17c6-9622-4282-ab3e-5e986a5ef032 · inbound

Geometric Decoupling: Diagnosing the Structural Instability of Latent cites this paper.

Geometric Decoupling: Diagnosing the Structural Instability of Latent Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T09:48:48.302258Z

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=2026-05-10T05:06:44.051488Z digest=sha256:f4be5fe32401169176de5f17ea3d06e4f3607a3317a849487f3ecbbe898728a1

Observation a27ed0a7-fd79-4a8b-95fd-3b1c1be98f23 · inbound

Score-Control for Hallucination Reduction in Diffusion Models cites this paper.

Score-Control for Hallucination Reduction in Diffusion Models Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:25:59.976606Z

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=2026-06-28T22:43:58.497298Z digest=sha256:93c4660ecd48919c6fc16f94b6a3d78dc3ebfb19e9585d7b9f996e5bc9f55f26

Observation 3c512c92-3363-4781-a1fe-88c4ba65b47b · inbound

Enhancing Layer Interaction Using Key-Correlated Layer Attention cites this paper.

Enhancing Layer Interaction Using Key-Correlated Layer Attention Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:45:48.430592Z

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=2026-06-30T01:09:43.669055Z digest=sha256:0504c1780cddcc3ee0a965cc007ab1eaacffbf4ab781b73c9682afc36c7edd9b

Observation 6dc53872-9aca-4a56-83bc-629d4236ef8b · inbound

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis cites this paper.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-14T16:28:17.428855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T16:28:17.428855Z digest=sha256:6adce3a1a4a74aaaaaa7a3c6ba0b36bac762c04473088b2e65e53313ad081402