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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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=sha256:58e3da4ab5f0fb76f41f5b59bf2586b4b6875616ada0e164bc70bbe7222f90b5

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=sha256:2c92d4c92a34c1ec4f8f160499e741aefada816ac19cfb29af7f76946b8c5fb1

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.260707Z digest=sha256:9a8b474e84cb59bf398a9563a5f571dc19e2cc4ae34a2289545745829c49d271

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.264811Z digest=sha256:bb46f45de04848bbcdac179b1ec0fae43073f04cea43d85fbabe5398f6c6bedc

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.269625Z digest=sha256:d1c6738e702f4228707db5680ab0fd15b48ddbf2509f34f728fa76e0738f889b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.274069Z digest=sha256:e6b37dbc69e2089988c0fd5c42b28285b9859221a5de7131416f934ff11d0fcd

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.277486Z digest=sha256:8cbd469690a1934bc186903641a22d40bd762e79079a8e0439c785244a565bae

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.281460Z digest=sha256:7290baa65199ec6a5d35ac16fb08b79fe8805776bc1a846f1944d13edf50bf68

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.286259Z digest=sha256:203a3ea7683ef119fdd1a2605724d60236cf24a0c76646e04fdad9ff11501eab

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.291224Z digest=sha256:d7515c5250537e72cb3e887e1a8fed2df859ec6e1cd9b27faaf5093d71c6feed

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=sha256:3957132741b60a94476eea7e166774dcee4b548a70c8b4c120b3a84a38823367

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.299552Z digest=sha256:4e55c28aea14ffd51e8a5b135fd1b69610bd4e1fc3b02902fef41426f39d21df

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.303084Z digest=sha256:2857dfd3a20b2eb656e8715afeafd3f1249055da77cb8a6a0583d4d38bb071d5

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=sha256:7c532e172a627eb682a38f37d4e4d3bdb647fc5a9d693b9fab26118b1e21c884

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.311727Z digest=sha256:2b7f208d9016a184af71a08179f0747719cf4691ec1de1babfee6ad17ccc8be9

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.316145Z digest=sha256:6e55994512c0a7eaa85068215306ef70278d6a8dc0c5860896ecb54bec51b0a1

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.320772Z digest=sha256:47d79d6f045b488043355efc4bda3dffd1c6fc160e0171c92d02785c4856a498

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.325836Z digest=sha256:49dd199dd4d68083699f43140152c28bc2e65cdfa58fcbd7e39d56f9f4222509

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.330658Z digest=sha256:f6273c63587d9227053d01c5506c3a58bb31ec80f9485838b5f7c6686cae2a57

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.334459Z digest=sha256:13333ebf902868410c36bc20461b6f03c06f9c4b8381284537ac14b2008ca0c3

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.338274Z digest=sha256:87e35ff98a7c98080b02a522661e686744adb29d5b4dbfd859a2589116296934

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.341418Z digest=sha256:57366bce8617c4a4b2346e7e8d20f022e776f9dfe1490867ed3d5a5350981724

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.344992Z digest=sha256:beca6ad1ff7d61f1edd766e0343ce193d75ec389a693cc2d2160a453367c8ca5

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.349119Z digest=sha256:793d5f831c8326f7e4d75bf977d455e2c6e1ac2cc2c24875f9c1d85e7ae2c6d5

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.353748Z digest=sha256:5f406111bf8b03e8e6055ff8b4744cf004a7a832d1f70091a318be2f2de9ee75

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.358307Z digest=sha256:8ac0de53acdcdd552638a83db1a6540f5d25e82363349524e4dba33164e0e68f

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=sha256:6aec366cd436ccb8058211c0149719bb2450661aecb6835f0421e871cc02b094

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.365957Z digest=sha256:8fc938d1494d4e70caf4faed136d1f2ca61584890201e9093da11c9f11770c52

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.369926Z digest=sha256:c0957af56816863b3d8bbbf70b5b08810632c793522c0741bf3aa37abb23ffe3

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.373201Z digest=sha256:65396cb60eee6cf793a8d7155e73fcea84be63ec418e782aab67d730bad1390f

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.376630Z digest=sha256:7645e9a78562a351d410e8f52489721cb0e0351cf25ab75f45f72da319949071

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.380461Z digest=sha256:804228b915a95dd6cb8d867de03427f513b05514e91107c887ac1bb67e3dff65

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.384122Z digest=sha256:10b3813e544caeb93b092622aab0866879df3da14890ea044b929c9f0a4de56b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T22:20:09.387730Z digest=sha256:9de572c7e3cc9c37c38e57f6f348c3a1172115a27bda498c416920b180583c54

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=sha256:2443b82ff480b7dfe49c92824418f24a0f333ff405d0702b93ec05ae77b9b143

Pith citing papers

No inbound Pith citation observations are available.