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Paper Citation Record · LEDGER

Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.05846.

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

pith.paper-citation-record.v1
2403.05846 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:32:37.815468Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T08:15:32.093161Z

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 6d5b4158-b8e8-46d2-8ce4-27410140eca6 · inbound

$\textit{Revelio}$: Interpreting and leveraging semantic information in diffusion models cites this paper.

$\textit{Revelio}$: Interpreting and leveraging semantic information in diffusion models Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-12T14:23:52.908027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:23:52.908027Z digest=sha256:fee123f256a65d02cdfb493c72439970f6dd5a9fceaf264805a92e3dde667857

Observation 25ae24a8-e593-4180-a8e5-ab39b7a7fa8c · inbound

VSC: Visual Search Compositional Text-to-Image Diffusion Model cites this paper.

VSC: Visual Search Compositional Text-to-Image Diffusion Model Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T04:32:37.815468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:32:37.815468Z digest=sha256:ff9ca2ef2c17a2fee9060e8905ccca2b5924ac9447a8de0d7e11ef0389ea0d50

Observation bd9186d9-63b9-4944-8ce3-11b4ea1f2527 · inbound

SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders cites this paper.

SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-04T15:42:39.636010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:42:39.636010Z digest=sha256:5aa0b125f04ec026684cb9c87ecc3544239be5fadcac6a8b2390cf8f5bb15e5d

Observation e2a43987-5922-4288-bdc8-f45caad6ffad · inbound

When Do Diffusion Models learn to Generate Multiple Objects? cites this paper.

When Do Diffusion Models learn to Generate Multiple Objects? Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:15:32.095589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-01T08:07:10.345273Z digest=sha256:9b1e4b32982bdfe7a58c050fbc3b0bc1d1525ed547db8ae1c8cb024d11954607

Observation a9d39ef6-118c-4e50-8b8a-c7127e46451b · inbound

Intermediate Text Representation Guided Text-to-Image Generation for Enhancing One-and-Only Alignment cites this paper.

Intermediate Text Representation Guided Text-to-Image Generation for Enhancing One-and-Only Alignment Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:24:27.112003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T06:04:54.816368Z digest=sha256:a0c6d1d29d19dc549f7839faa80e2d69b0b757956062175522147748e0a5eb8b

Observation aacfe42b-2043-47e4-a360-3023c3f11f74 · inbound

Verbalizable Representations Form a Global Workspace in Language Models cites this paper.

Verbalizable Representations Form a Global Workspace in Language Models Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines

Reference 164

Resolution
unresolved
no resolver link, observed 2026-08-01T23:15:30.835495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:15:30.835495Z digest=sha256:eb24e376bb1571874bb226dab20cb971727047fa127219a6bfe1326e2c547574

Observation 693ede22-eeb3-411d-9489-7fe5acd03426 · inbound

Interpreting Language Model Hidden States at Scale cites this paper.

Interpreting Language Model Hidden States at Scale Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-14T04:16:16.794208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:16:16.794208Z digest=sha256:0ec4ac1e3fd4dff033eed2f1e60dfcb15de103632ca3d1adf7619a469630f627