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Paper Citation Record · LEDGER

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing

As of 22 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2606.13041.

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

pith.paper-citation-record.v1
2606.13041 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T07:34:06.109911Z

measured 22 of 22 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 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

22 of 22 outbound references displayed

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  • verified fuzzy0
  • unresolved20
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 956379f5-4ad9-4931-91c2-b50c4a2757c0 · outbound

This paper cites Seam carving for content-aware image resizing.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing Seam carving for content-aware image resizing

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:6642ebfda930c966f52a70d213338358bd8cbf105044450360a83915886ccce9

Observation c2451e85-2a29-43cc-a20c-00d08bbe8d0d · outbound

This paper cites Blended latent diffusion.ACM transactions on graphics (TOG), 42(4):1–11, 2023.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing Blended latent diffusion.ACM transactions on graphics (TOG), 42(4):1–11, 2023

Reference 2

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source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:f4e60e5cbce776cfa0479a76c34c0758f6b8cc0007501b69838f57342678acdc

Observation 127c7832-c63f-49c8-9e2e-e7b382c65d93 · outbound

This paper cites Uniedit-i: Training-free image editing for unified vlm via iterative understanding, editing and veri- fying.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing Uniedit-i: Training-free image editing for unified vlm via iterative understanding, editing and veri- fying

Reference 3

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source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:aeb5e42e4e70cea672bf67461bd43d447f093f3935296fbc3edeb30d4c96b868

Observation 13a49e4b-4c25-4562-b8f3-bbd6ef7d1ad8 · outbound

This paper cites Multidiffusion: Fusing diffusion paths for controlled image generation.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing Multidiffusion: Fusing diffusion paths for controlled image generation

Reference 4

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source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:91f1cd79f0d0ee6a5e8fb5c6cb024079bd3bc31656e7ba530968b550ad4447df

Observation 7d4afd56-8779-4da1-ae45-64e88332c251 · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing Align your latents: High-resolution video synthesis with latent diffusion models

Reference 5

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source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:ea455acb89fb0eedb44b9197392723d6dc7069d5c2d560f3bf45c2432545fc20

Observation eee3bdb0-24b9-4628-8cdf-f1b50558781c · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing Instructpix2pix: Learning to follow image editing instructions

Reference 6

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source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:2e18ed4382b6d2974f4a3537a5b59be5e121eeef7531c65a39ffa4af1dcb2812

Observation 9e186ddf-feb1-4139-8cdb-308a6d67d78f · outbound

This paper cites Automatic panoramic image stitching using invariant features.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing Automatic panoramic image stitching using invariant features

Reference 7

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source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:8fd294eb2dfc65ddc487cfb0104945a59c8f51df41fdcab29fbea37408c3e222

Observation e3c4c247-4878-42ab-ba0b-a0e668a30dc4 · outbound

This paper cites A multiresolution spline with application to image mosaics.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing A multiresolution spline with application to image mosaics

Reference 8

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source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:5b39afced21a6b4887667dd1f8e61cab0982b98a633bc2001b61eddd4da675b3

Observation ecd9cc60-5730-4368-bee0-3db9324f7f40 · outbound

This paper cites Seamless-through-breaking: Rethinking image stitching for optimal alignment.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing Seamless-through-breaking: Rethinking image stitching for optimal alignment

Reference 9

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source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:3d15834fd73e6b12b12af175fe3f6a8dd0e1ebd4a987df67ab65f611b99d0c97

Observation 0d3edc95-39ba-4e66-845a-e2a06068ae32 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:16a6b9a0b127a8f424b337702dc2a79396b78ea9970da0b5509ce140240ad678

Observation ea31b241-c5fb-4cc4-b4cf-ac4357bcbc67 · outbound

This paper cites Efficient high-resolution image editing with hallucination-aware loss and adaptive tiling.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing Efficient high-resolution image editing with hallucination-aware loss and adaptive tiling

Reference 11

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verified exact
arxiv_id, observed 2026-07-03T13:48:20.844529Z

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=2026-06-27T07:34:06.109911Z digest=sha256:05f9f4b247624d29a7c80efbccd9265138597c4170465e5557a9fd6e7a8d54c1

Observation f9b0ed5a-403b-4023-9fae-4ed29ee7b853 · outbound

This paper cites FLUX.2: Frontier Visual Intelligence.https://bfl.ai/blog/flux-2, 2025.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing FLUX.2: Frontier Visual Intelligence.https://bfl.ai/blog/flux-2, 2025

Reference 12

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source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:2283a0470c17c817d93bdb512594914b1274b239f79a5abb1d93d9c90a1ab463

Observation 367ef1dc-b3fb-439e-b8c7-759d23551a6d · outbound

This paper cites Hiprompt: Tuning-freehigher-resolutiongenerationwithhierarchical mllm prompts.International Journal of Computer Vision, 134(4):147, 2026.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing Hiprompt: Tuning-freehigher-resolutiongenerationwithhierarchical mllm prompts.International Journal of Computer Vision, 134(4):147, 2026

Reference 13

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source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:33bb272363a54ba973ae4f41aa4b5826bc880f1e616a8efc2e8cbdf710a6a411

Observation b7d75bf0-a593-49d7-b53f-61181eac4721 · outbound

This paper cites Tileddiffusion.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing Tileddiffusion

Reference 14

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source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:edc8825286c9a76b2e5704116b802b53dcf2c347eb33b96819448c7014cb452b

Observation cb958c3f-c879-4775-84be-f8a4a6c0976f · outbound

This paper cites Poisson image editing.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing Poisson image editing

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:67b1a71400610bd570d8745d7c5e0d0ab72af8b9daa17c78a886c6ba090f13d3

Observation b90faa96-1efd-41ca-a589-452bcc53e9ab · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 16

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source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:720b0284c92d5778e69227b989a716b186c328b1f14402166b764b37f50d819b

Observation 2e16b5ef-cc28-4297-9c67-09afd523efa2 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing High- resolution image synthesis with latent diffusion models

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:33981feca53cc3ece66166bc9ce6c228d472b0c7e61732f13baff77e655f8cad

Observation 80a630e5-4e6b-4f61-9463-8988dc2a961d · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004

Reference 18

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source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:a480b78d8fbed33bd10252e207e822efa7ede616e3918134e89177b1924b903d

Observation 729a72fd-f326-4628-98bb-8e01653a87d7 · outbound

This paper cites Modification Takes Courage: Seamless Image Stitching via Reference-Driven Inpainting.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing Modification Takes Courage: Seamless Image Stitching via Reference-Driven Inpainting

Reference 19

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verified exact
arxiv_id, observed 2026-07-03T13:48:20.847634Z

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=2026-06-27T07:34:06.109911Z digest=sha256:5b495da3d6f04e6f28d48fc4bc5abede6b1b5fd08b985f909fcdc42cb565a9ad

Observation 40657f7f-c0f8-4368-8ba2-dc8ac2f909b6 · outbound

This paper cites Scaling up to excellence: Practicing model scaling for photo-realistic image restora- tion in the wild, 2024.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing Scaling up to excellence: Practicing model scaling for photo-realistic image restora- tion in the wild, 2024

Reference 20

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source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:1a7dc310c57cd503664a7ac8730d0ea4e1b36187fcc9d653c053ddab9f3e93b1

Observation a6feb781-9e23-45c3-a20f-9ea8ecf827bd · outbound

This paper cites Magicbrush: A manually annotated dataset for instruction-guided image editing.Advances in Neural Information Processing Systems, 36:31428–31449, 2023.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing Magicbrush: A manually annotated dataset for instruction-guided image editing.Advances in Neural Information Processing Systems, 36:31428–31449, 2023

Reference 21

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source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:1ad159ff63cead398057e028b21cd398f314fec359ed6e683ceb6cd6f20fa741

Observation 0aed7870-e349-414c-ae1f-3b926455ea1d · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

SeamEdit: A Black-Box VLM-Agnostic Pipeline for Large-Image Semantic Editing The unreasonable effectiveness of deep features as a perceptual metric

Reference 22

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source=pdf_text observed=2026-06-27T07:34:06.109911Z digest=sha256:f683f5cd020861f88d833fa716f0d3fed6b859d7420e71d418d1e59cd0b7c02a

Pith citing papers

No inbound Pith citation observations are available.