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Paper Citation Record · LEDGER

DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2303.09813.

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

pith.paper-citation-record.v1
2303.09813 v1

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 2026-08-22T06:32:14.747728+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:54:06.942172Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:59:42.787046Z

Reference resolution

0 of 0 outbound references displayed

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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 9222dbe6-75e0-4621-b1dc-4b620e663573 · inbound

Evaluating Text-to-Image Diffusion Models for Texturing Synthetic Data cites this paper.

Evaluating Text-to-Image Diffusion Models for Texturing Synthetic Data DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T19:56:48.375866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:56:48.375866Z digest=sha256:89132eaf2ed9ebcb2b1843a7f363ec5d726d5b06b420442a30f8a954c5a1bc1b

Observation e701e8c6-8d99-4ba5-b5f5-96b05637bda9 · inbound

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration cites this paper.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T11:54:35.732336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:54:35.732336Z digest=sha256:a780f2cafb9222be1c15a71b19b11f7205bed2dc4a6bcb0f5bbac0f03eb279dd

Observation 7a53bc3b-b897-4141-b388-1c0eca46bdd3 · inbound

Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training cites this paper.

Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T05:27:14.803986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:27:14.803986Z digest=sha256:7ca72cd0b27a33f9fab273093de373f2960f55337da2e50b05343637e33f9eee

Observation 95ab631b-42bc-45de-a4bf-b7e6adf4e94b · inbound

No Annotations for Object Detection in Art through Stable Diffusion cites this paper.

No Annotations for Object Detection in Art through Stable Diffusion DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T19:52:56.131427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:56.131427Z digest=sha256:29bae97d99651c11079d59108508d57bdce1234438bd0074bfddcc9dd365abc3

Observation 6cc0718f-736f-4d2e-88e3-93812dc99dc2 · inbound

G4Seg: Generation for Inexact Segmentation Refinement with Diffusion Models cites this paper.

G4Seg: Generation for Inexact Segmentation Refinement with Diffusion Models DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T11:45:38.403978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:45:38.403978Z digest=sha256:0ca73ed30b909f7cf32595c13864418f5a96ca690adcd229fdb8c1e1ca2e05b1

Observation f0c25978-acc9-480c-a66a-5a0f132e5c69 · inbound

ConText: Driving In-context Learning for Text Removal and Segmentation cites this paper.

ConText: Driving In-context Learning for Text Removal and Segmentation DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T11:01:10.316282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:01:10.316282Z digest=sha256:6713cb6e14a648a21d8dd55ff9750cbe71f56125f1e42219be666e1fa9797b03

Observation 03621015-443a-4b08-92ce-7b5cb1f70656 · inbound

MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition cites this paper.

MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T21:51:55.235358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:51:55.235358Z digest=sha256:3d950d8146adf3485847fa5488a2d8c093e58a78103972aa2c82322d70f6732b

Observation 0a9bc464-380a-464d-85a5-d4efb15955ad · inbound

The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models cites this paper.

The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:44:26.942376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-21T23:41:50.534434Z digest=sha256:cc1a42ea9993ec6170332af753d81c3180f077bec866d2768738be06b04a7f91

Observation 92e5a3c8-82ef-46e7-af4d-a3929db0af43 · inbound

Decouple before Align: Visual Disentanglement Enhances Prompt Tuning cites this paper.

Decouple before Align: Visual Disentanglement Enhances Prompt Tuning DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T10:17:04.412924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:17:04.412924Z digest=sha256:d59fadfb729f9da6fff1a6f93ca648c045b763c1d32f108064acace1727f3126

Observation 5cf56793-eb7b-46e3-aeab-8ccef31853fc · inbound

GS: Generative Segmentation via Label Diffusion cites this paper.

GS: Generative Segmentation via Label Diffusion DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T16:54:06.942172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:54:06.942172Z digest=sha256:f1db437851a1c72c194f1eeef1b657fa159db023439b8be54ac92f2418215dc1

Observation cb1077ea-b478-4c52-9b5d-9803cc14b084 · inbound

Leveraging Prior Knowledge of Diffusion Model for Person Search cites this paper.

Leveraging Prior Knowledge of Diffusion Model for Person Search DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T12:52:08.921981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:52:08.921981Z digest=sha256:d1cb6f1227e1a4f39e3e14fc9235b6c7b82e2e1902c70fb2793acec0e409762d

Observation 2ed5b085-996c-493a-a924-b5fee3f06c5c · inbound

Reason, Then Re-reason: Cross-view Revisiting Improves Spatial Reasoning cites this paper.

Reason, Then Re-reason: Cross-view Revisiting Improves Spatial Reasoning DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-07-03T08:47:50.509006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T10:41:41.697216Z digest=sha256:47896af03711e7621368c0515a2f7fb3b4ee86ed33b2849d8b03ef89d15d2e47

Observation 7fab9878-d6bd-4a49-8379-089897642868 · inbound

Prompting Diffusion Models for Zero-Shot Instance Segmentation cites this paper.

Prompting Diffusion Models for Zero-Shot Instance Segmentation DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:59:42.788594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T10:43:15.465858Z digest=sha256:5abe56575b1ad3bfadcf1e35402addf4115707edc3300926584f6bdf509bfac8