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Paper Citation Record · LEDGER

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models

As of 24 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2501.02355.

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

pith.paper-citation-record.v1
2501.02355 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:20:09.391449Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

35 of 35 outbound references displayed

  • verified exact1
  • verified fuzzy27
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 364e2afd-5f57-42d9-84dd-2bb2564e52e7 · outbound

This paper cites write newline.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T22:20:09.250542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:20:09.250542Z digest=sha256:ed5f8c1a02b5227c1a1dd2fede3d9e8c8aac23a0f7cc20605f748d3db46d0a8e

Observation 21fd2885-451b-47d9-879a-f3251a9c1657 · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T22:20:09.256036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:20:09.256036Z digest=sha256:e43cf81cc7d011a7d40c9f5dde7e2e48b3588d1d46ad9f82d5d3d9e5558491a6

Observation 393a2faf-0bfc-4cb6-be28-0f851da31d91 · outbound

This paper cites Leftrefill: Filling right canvas based on left reference through generalized text-to-image diffusion model.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Leftrefill: Filling right canvas based on left reference through generalized text-to-image diffusion model

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.780511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.260707Z digest=sha256:8edab0044d431676ace68d58bdcbb3bd6452addc82eb94729f7be21556937a15

Observation f7846371-c2ef-4113-9074-3b5931ae448e · outbound

This paper cites Attend-and-excite: Attention-based semantic guidance for text-to-image diffusion models.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Attend-and-excite: Attention-based semantic guidance for text-to-image diffusion models

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.770205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.264811Z digest=sha256:64988bf398169d351079185e939124d475694ed6fee984d23c603aaf1d46de1f

Observation 5c89fb20-ba29-4f2e-96e4-a05ceb2eb681 · outbound

This paper cites Training-free layout control with cross-attention guidance.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Training-free layout control with cross-attention guidance

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.759992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.269625Z digest=sha256:b4d32ec9a76e357d53ba9ef3293ef974bc25efe5bd8da7c4d95dea27a0634dab

Observation c4c4e50a-a021-4551-8bd5-7594ee4ba959 · outbound

This paper cites Diffusion models beat gans on image synthesis.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Diffusion models beat gans on image synthesis

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.749256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.274069Z digest=sha256:f135e1453b2ac738d5b107c2f5a17e756813781c6f5944c88b819469cbfd1598

Observation 0fb5a444-61d2-427c-97ec-015a7cd67a04 · outbound

This paper cites Diffusion self-guidance for controllable image generation.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Diffusion self-guidance for controllable image generation

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.738820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.277486Z digest=sha256:c6d9f049c2f85d2a99a49f292f428e68ac5622a11121b2f63d0e1bf09dd228b7

Observation dca4e942-2e61-41fa-a291-ae0da2c47d99 · outbound

This paper cites Training-free structured diffusion guidance for compositional text-to-image synthesis.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Training-free structured diffusion guidance for compositional text-to-image synthesis

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.726943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.281460Z digest=sha256:577e81be6d6e5ff726f43e6e27c769422ace1969c1c7c423987d9829ac3e59ce

Observation 6fea0edd-114f-4db7-86d4-1aab679bd367 · outbound

This paper cites Dreamsim: Learning new dimensions of human visual similarity using synthetic data.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Dreamsim: Learning new dimensions of human visual similarity using synthetic data

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.716703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.286259Z digest=sha256:608e42be13f3a22b691c8efaa8d9822c634e1baf405b6058da219d8cce9ee996

Observation 4ffe2763-8ec7-4449-80a5-9a583fc1bb2c · outbound

This paper cites Denoising diffusion probabilistic models.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Denoising diffusion probabilistic models

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.706325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.291224Z digest=sha256:92f8090358f832acdc4a9e88643b68e09dc4c75e446a5370774818284d70a76d

Observation 6746f64d-bdc3-4df2-818f-0ff79d239c6e · outbound

This paper cites Auto-Encoding Variational Bayes.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Auto-Encoding Variational Bayes

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T22:20:09.295857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:20:09.295857Z digest=sha256:09cbbcf64b9de05f0388558faedc3521e91b97f497c1a39bfb23e535cea4e2d8

Observation 2e09406b-7df1-4487-ad6a-253a33e47bfb · outbound

This paper cites Megadepth: Learning single-view depth prediction from internet photos.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Megadepth: Learning single-view depth prediction from internet photos

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.695137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.299552Z digest=sha256:463c4dbf8a21e9aa37d868392bb8ee408dfa5cf4bc2e98e30bc17960e321b8fd

Observation 5a0e66c1-348c-40c6-9a1b-f0f89bfa6007 · outbound

This paper cites Diffusion hyperfeatures: Searching through time and space for semantic correspondence.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Diffusion hyperfeatures: Searching through time and space for semantic correspondence

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.684849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.303084Z digest=sha256:a7e157478297757428c29b68c1d0d7b8bb5e339774d131f225efeb7fca1e434d

Observation 716a16b3-a15a-4c4b-9005-396a2276a11b · outbound

This paper cites HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T22:20:09.306343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:20:09.306343Z digest=sha256:1007a85fb3ee6435303b841ac78749d37b8c2988104b3c30b789b177b4a3b460

Observation 21a94bcf-4382-477f-84b0-c6c1246fd428 · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.674257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.311727Z digest=sha256:6cfd9333ff39aac3aebe92ccb642713d5ab86aee41041577fffb495d63ef7b2a

Observation 11e01068-d070-4bba-9335-f359a5f0e636 · outbound

This paper cites Onion-peel networks for deep video completion.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Onion-peel networks for deep video completion

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.664130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.316145Z digest=sha256:86e7f6289b9596e3abb959e72f3fb4c96fe741bc2adc1355858b3c15b6d8d3d9

Observation 1c9859ae-3c28-4cd1-bff4-7234b1307abf · outbound

This paper cites an unresolved cited work.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:20:09.653758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.320772Z digest=sha256:71ecd5ffa44434a31ceecd873a85949fbf62ec58b149944d8f7189c34057b2dc

Observation 1bb430d0-7662-4fb4-89d4-e5fe94edf241 · outbound

This paper cites Learning transferable visual models from natural language supervision.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Learning transferable visual models from natural language supervision

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.643518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.325836Z digest=sha256:2c1848482a30d389a169ae825640e809c41d09ac6e55de927d532ae7ecfd68b9

Observation 1990d7d1-fd72-4f44-8039-f9e59dd53482 · outbound

This paper cites Linguistic binding in diffusion models: Enhancing attribute correspondence through attention map alignment.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Linguistic binding in diffusion models: Enhancing attribute correspondence through attention map alignment

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.632443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.330658Z digest=sha256:960dc341f73c5ac04e2d408d8ad84193397b9727155de0eb941bc6e814f29748

Observation a22a5f2e-78f7-4d1c-84b8-9893447d2d4b · outbound

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

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models High-resolution image synthesis with latent diffusion models

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.621969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.334459Z digest=sha256:451aa660e990054448b2faff6e9956d9893956daaefa0aa928d21fcbd2a0f703

Observation a423eb87-5e2c-4bb7-a0f2-bdae501efe40 · outbound

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

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models High-fidelity guided image synthesis with latent diffusion models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.611063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.338274Z digest=sha256:42e59d23e2596b71cf86dec89b954ac86a7dd7f3cc33daac24cd45a00f3e1c8d

Observation 8041cb4e-adde-4674-8e0d-7478ec30e24a · outbound

This paper cites Denoising diffusion implicit models.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Denoising diffusion implicit models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.600476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.341418Z digest=sha256:45387f311e10576c75d256d419da03cc814402617b09875f682b452ffae9977b

Observation f428ac10-1b82-4bfa-ae03-3bce4260deb0 · outbound

This paper cites Jacobs, Bharath Hariharan, Yael Pritch, Neal Wadhwa, Kfir Aberman, and Michael Rubinstein.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Jacobs, Bharath Hariharan, Yael Pritch, Neal Wadhwa, Kfir Aberman, and Michael Rubinstein

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.590578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.344992Z digest=sha256:b669040338a11c3e48a476de8a288aa08482afac076942ac6845867f9bad6025

Observation e84bd668-71c0-4ec4-ac9f-b36ee8f22bce · outbound

This paper cites Quadtree attention for vision transformers.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Quadtree attention for vision transformers

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.580647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.349119Z digest=sha256:5a7cef37eceec5650b673f823a265236780efb406859d2487a491113d0809918

Observation cf268205-a0fb-4dd2-afeb-d95f86e796e5 · outbound

This paper cites Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:20:09.438467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.353748Z digest=sha256:1d4b515d2b74cd9b9d497765db127a3891dad6a396a259d94bd1f298a3f04b77

Observation da2c7f90-9440-4f5d-93d1-5666e49ab443 · outbound

This paper cites Paint by example: Exemplar-based image editing with diffusion models.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Paint by example: Exemplar-based image editing with diffusion models

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.570237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.358307Z digest=sha256:17bb4d0cd8e9f16a2948e1fb61a7949f4450d8e27a6ae0c7dd75c1509166e8d0

Observation cc574926-c1f6-44a4-820e-fa068a98c49f · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T22:20:09.362004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:20:09.362004Z digest=sha256:be9c338d12c33fa2dd1acd72bd33ca85276a5da33bfbe9587eb7c2175e177ad3

Observation 840dd32a-c183-447e-8751-85fd0776d5b5 · outbound

This paper cites Telling left from right: Identifying geometry-aware semantic correspondence.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Telling left from right: Identifying geometry-aware semantic correspondence

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.559359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.365957Z digest=sha256:21e0407c113b6cf165291dac93554166f0d5785d1865d542e6663080c7b49b5f

Observation f2822ee7-fb55-44ee-a92d-cdf81af57a67 · outbound

This paper cites A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.547112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.369926Z digest=sha256:f793e6310ac42b34bf0cf09ae17520649fa3268eb143862aae6b31c010575f55

Observation 02fdb8ef-cd74-41a2-81b6-298cce545a8a · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Adding conditional control to text-to-image diffusion models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.535443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.373201Z digest=sha256:b6a9b288b2401dabd8d1ca04eaddbc591e547a2b77dff6cbed3a7a8f0d545bb8

Observation 238095c9-c1a3-4b70-991d-2c58d0c046a6 · outbound

This paper cites Geofill: Reference-based image inpainting with better geometric understanding.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Geofill: Reference-based image inpainting with better geometric understanding

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.523527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.376630Z digest=sha256:34a09dc09940ab576e8b04b95dfab781798a18bf734a05f2e3061f75439ba2d8

Observation ed8ccded-b999-4a9f-9381-bba722af04ed · outbound

This paper cites Stereo magnification: Learning view synthesis using multiplane images.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Stereo magnification: Learning view synthesis using multiplane images

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.512290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.380461Z digest=sha256:663f163998b3c448b31cecda3f7d9af282299343c481b8e3349718407e53a9fc

Observation 9285d55b-d659-4aae-ab96-3a58068ca9c3 · outbound

This paper cites Transfill: Reference-guided image inpainting by merging multiple color and spatial transformations.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Transfill: Reference-guided image inpainting by merging multiple color and spatial transformations

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.500752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.384122Z digest=sha256:9f99abc4ced7ce3c2f229ea8e9b98bc64ff655d8728d12c55c0a48c17c235e47

Observation 5c647c63-40fe-4bf2-a008-41ce69538189 · outbound

This paper cites GIM : Learning generalizable image matcher from internet videos.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models GIM : Learning generalizable image matcher from internet videos

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:20:09.488566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.387730Z digest=sha256:3e60a0bd1dc77048f3ff79fe15b529365a5e93cd45824194d39d3a2d472eb0d6

Observation 29cd778b-d757-49b9-906e-8c3d6a3d2d92 · outbound

This paper cites Diffusers: State-of-the-art diffusion models, 2022.

CorrFill: Enhancing Faithfulness in Reference-based Inpainting with Correspondence Guidance in Diffusion Models Diffusers: State-of-the-art diffusion models, 2022

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T22:20:09.391449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:20:09.391449Z digest=sha256:cc14d198bafd049126f4087e5565464e79bb2ce7f3305f27635551104dde691b

Pith citing papers

No inbound Pith citation observations are available.