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Paper Citation Record · LEDGER

Faster Unsupervised Semantic Inpainting: A GAN Based Approach

As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:1908.04968.

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

pith.paper-citation-record.v1
1908.04968 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:31:50.668108Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:31:50.536928Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T13:31:50.718020Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved8
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 53183d89-0f60-4ad9-a9cd-fe48bd139447 · outbound

This paper cites Tradi- tional methods [1, 2] were mainly successful when deployed on background scenes and images with repeated textures.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Tradi- tional methods [1, 2] were mainly successful when deployed on background scenes and images with repeated textures

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation a993a82a-8ccd-45e2-8b83-8cbb95ede8dd · outbound

This paper cites an unresolved cited work.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Unresolved cited work

Reference 2

Resolution
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Source-reported events for the cited work

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Observation 46fd1fba-6ec0-476f-9d2f-366647271c03 · outbound

This paper cites an unresolved cited work.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Unresolved cited work

Reference 3

Resolution
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Source-reported events for the cited work

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Observation f3354edc-e76c-4e09-9953-47912174ef30 · outbound

This paper cites an unresolved cited work.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Unresolved cited work

Reference 4

Resolution
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Source-reported events for the cited work

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Observation 7f7905e2-b0ee-440a-9a86-3430a9528389 · outbound

This paper cites an unresolved cited work.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Unresolved cited work

Reference 5

Resolution
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Source-reported events for the cited work

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Observation 8ca39fa7-66ed-4a69-b5ce-67673afc6667 · outbound

This paper cites Faster Unsupervised Semantic Inpainting: A GAN Based Approach.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Faster Unsupervised Semantic Inpainting: A GAN Based Approach

Reference 6

Resolution
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Source-reported events for the cited work

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Observation db6d603b-6ae7-41c4-8ce6-6b03257baa7c · outbound

This paper cites an unresolved cited work.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Unresolved cited work

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f38dcc87-e66e-4f30-9a9e-2a528f8b9ccc · outbound

This paper cites For video inpainting, we ex- perimented at 128×128 resolution on VidTIMIT[14] dataset.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach For video inpainting, we ex- perimented at 128×128 resolution on VidTIMIT[14] dataset

Reference 8

Resolution
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Source-reported events for the cited work

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Observation 02440d41-4d05-406b-bd3f-a8c4b208cf1a · outbound

This paper cites an unresolved cited work.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Unresolved cited work

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation eae0e92d-62f4-4803-9cc3-878c89f65abf · outbound

This paper cites On videos the speedup is almost 80×.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach On videos the speedup is almost 80×

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2fe74be3-719e-4131-bdb7-8525dc67b759 · outbound

This paper cites We compare with unsupervised baseline of Yeh et al.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach We compare with unsupervised baseline of Yeh et al

Reference 11

Resolution
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Source-reported events for the cited work

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Observation 4fad01ff-d197-49a0-92c3-4b7f0fe05402 · outbound

This paper cites We also show some visual comparison with recent hybrid benchmarks in Fig.4.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach We also show some visual comparison with recent hybrid benchmarks in Fig.4

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9e698335-5324-4549-9c95-cc9e8148b519 · outbound

This paper cites an unresolved cited work.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Unresolved cited work

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ce4a3a24-d603-4303-9926-c602a0872a35 · outbound

This paper cites Patchmatch: A randomized correspondence algorithm for structural image editing,.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Patchmatch: A randomized correspondence algorithm for structural image editing,

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c5e2c52a-7e3a-42ee-8991-05ee238a7ef6 · outbound

This paper cites Scene completion using millions of photographs,.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Scene completion using millions of photographs,

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d02c7e16-7120-4781-ae20-c37624e2b20b · outbound

This paper cites Semantic image inpainting with deep generative models,.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Semantic image inpainting with deep generative models,

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 055f541d-9376-45dc-87d3-c4a20d42386e · outbound

This paper cites Globally and locally consistent image completion,.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Globally and locally consistent image completion,

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 52409110-1e96-4ad2-9b67-3c7fab2c0960 · outbound

This paper cites Generative image inpainting with contextual attention,.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Generative image inpainting with contextual attention,

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 26b14b13-d859-4c30-abea-673ab1c90409 · outbound

This paper cites Generative face completion,.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Generative face completion,

Reference 19

Resolution
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Source-reported events for the cited work

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Observation f17a581e-8bf0-4488-90a9-bff4120e911a · outbound

This paper cites Generative adversarial nets,.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Generative adversarial nets,

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0e580167-3f7f-4360-b458-86fdef0d7443 · outbound

This paper cites Context encoders: Feature learning by inpainting,.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Context encoders: Feature learning by inpainting,

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d6c4adcc-2c26-47cc-adb4-c0902186ce88 · outbound

This paper cites Mo- tion tuned spatio-temporal quality assessment of natural videos,.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Mo- tion tuned spatio-temporal quality assessment of natural videos,

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 96dad0e5-fa06-47e2-8b9d-7bfc9eddbd61 · outbound

This paper cites Generative visual manipulation on the natural image manifold,.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Generative visual manipulation on the natural image manifold,

Reference 23

Resolution
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Source-reported events for the cited work

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Observation 32ee7941-cf2b-4f56-835d-d296a65bddee · outbound

This paper cites Reading digits in natural images with unsupervised feature learning,.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Reading digits in natural images with unsupervised feature learning,

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8cefbb5d-df00-40eb-8a67-224c21ab26a1 · outbound

This paper cites 3d object representations for fine-grained cate- gorization,.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach 3d object representations for fine-grained cate- gorization,

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ac6e2a59-4b23-4e95-a7df-afbed9a51560 · outbound

This paper cites Deep learning face attributes in the wild,.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Deep learning face attributes in the wild,

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c279f15f-cebf-4f83-87fa-786262c08ffb · outbound

This paper cites Multi-region probabilistic histograms for robust and scalable identity inference,.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Multi-region probabilistic histograms for robust and scalable identity inference,

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6d9b4d80-b80f-4970-a523-8f16bde67588 · outbound

This paper cites Photo-realistic single image super- resolution using a generative adversarial network.,.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Photo-realistic single image super- resolution using a generative adversarial network.,

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Pith citing papers

Observation 8ca39fa7-66ed-4a69-b5ce-67673afc6667 · inbound

Faster Unsupervised Semantic Inpainting: A GAN Based Approach cites this paper.

Faster Unsupervised Semantic Inpainting: A GAN Based Approach Faster Unsupervised Semantic Inpainting: A GAN Based Approach

Reference 6

Resolution
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local_arxiv, observed 2026-08-14T13:31:50.727521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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