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Paper Citation Record · LEDGER

The effects of using created synthetic images in computer vision training

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2506.03449.

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

pith.paper-citation-record.v1
2506.03449 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:07:09.407171Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

21 of 21 outbound references displayed

  • verified exact2
  • verified fuzzy16
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c84712be-3831-4e65-805f-ff6ee9abad93 · outbound

This paper cites Does Polygon Count matter in 3D Modeling for Game Assets?.

The effects of using created synthetic images in computer vision training Does Polygon Count matter in 3D Modeling for Game Assets?

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:07:09.706294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ebb483cf-f69e-4618-b0bc-317708ba25ff · outbound

This paper cites Python in Unreal Tips.

The effects of using created synthetic images in computer vision training Python in Unreal Tips

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T11:07:09.692947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b2a6a508-1344-4818-af7c-e9318b0d3e59 · outbound

This paper cites Learning image classifiers from (limited) real and (abundant) synthetic data.

The effects of using created synthetic images in computer vision training Learning image classifiers from (limited) real and (abundant) synthetic data

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:07:09.667497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 33107332-db1d-4882-b699-36f0c8b35a51 · outbound

This paper cites How Low Can You Go? Using Synthetic 3D Imagery to Drastically Reduce Real-World Training Data for Object Detection.

The effects of using created synthetic images in computer vision training How Low Can You Go? Using Synthetic 3D Imagery to Drastically Reduce Real-World Training Data for Object Detection

Reference 4

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verified exact
doi, observed 2026-08-07T11:07:09.457645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:07:09.345478Z digest=sha256:55fabc624b5d094276572818b211f60d0618aa4fd4eba4b7212a0e350a6440f5

Observation 1dcdf904-04dc-40ba-a631-da006c5e717d · outbound

This paper cites Deep residual learning for image recognition.

The effects of using created synthetic images in computer vision training Deep residual learning for image recognition

Reference 5

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unresolved
no resolver link, observed 2026-08-07T11:07:09.349596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:07:09.349596Z digest=sha256:4d15138540abb199980d81d480e4c6bedddbc0ff060a13c0848615388dce8b59

Observation b3aa071d-8baa-4350-aee4-c55366a18bdf · outbound

This paper cites Searching for mobilenetv3.

The effects of using created synthetic images in computer vision training Searching for mobilenetv3

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:07:09.644921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d43ff46c-4825-40aa-8896-fb6c4ce79398 · outbound

This paper cites A Review of Synthetic Image Data and Its Use in Computer Vision.

The effects of using created synthetic images in computer vision training A Review of Synthetic Image Data and Its Use in Computer Vision

Reference 7

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verified exact
doi, observed 2026-08-07T11:07:09.442953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:07:09.357446Z digest=sha256:5f3538436226eba69187c3397dd8d9858ddb4a46a563b7d91dde1a4118b180ab

Observation 36160579-4e3d-471a-a4dd-ab1daacc629a · outbound

This paper cites Metal 3: MIG Welding.

The effects of using created synthetic images in computer vision training Metal 3: MIG Welding

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:07:09.632443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:07:09.361738Z digest=sha256:84950b1fa8dccde2c560de69f4bf29c1bea4937c425b089851d094bc6cc88370

Observation a2ba2640-5c59-4e5a-a411-7e9200ad68a3 · outbound

This paper cites Professional Welder & Welding Instructor.

The effects of using created synthetic images in computer vision training Professional Welder & Welding Instructor

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:07:09.619902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:07:09.365414Z digest=sha256:d4694be5fc8bbea38d44f12e719ea5c86a008070fa0d697593d52ad1b3bcc820

Observation 425467d5-5d73-457e-911c-1208efcc9e8a · outbound

This paper cites UnrealCV: Virtual Worlds for Computer Vision.

The effects of using created synthetic images in computer vision training UnrealCV: Virtual Worlds for Computer Vision

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:07:09.606337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:07:09.369238Z digest=sha256:aed630216c6b1d5d6cefbfa3cc776d1641dbdae0deb370861aaf026e89e2b0b5

Observation 9c5cd7ba-96e7-49dc-a9d8-631b05e11b91 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

The effects of using created synthetic images in computer vision training Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:07:09.372898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:07:09.372898Z digest=sha256:8da4f7e9fe9e4aa17086e7b7931c83f3b2fd86a8195907c4a97c13e7ac97951a

Observation dedc4eae-1a70-4062-969a-6dd10d84fca9 · outbound

This paper cites Domain Adaptation of Unreal Images for Image Classification (Dissertation).

The effects of using created synthetic images in computer vision training Domain Adaptation of Unreal Images for Image Classification (Dissertation)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:07:09.593160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:07:09.377159Z digest=sha256:17d288d566093f60124f1ed3589fbd9d2aefedbfa79274e7d6c11bc6385a2211

Observation 9105b1ce-cdcb-4ff7-a34e-85ed86f4bb7b · outbound

This paper cites Cost -Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?.

The effects of using created synthetic images in computer vision training Cost -Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:07:09.580776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:07:09.380820Z digest=sha256:f0bae467c771865a15fc12778511b1989ad2bb7eb0704fcbc74071e8dd1b5300

Observation 39a0c127-e75c-4201-9929-142d7c43b609 · outbound

This paper cites Welding Images Dataset.

The effects of using created synthetic images in computer vision training Welding Images Dataset

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:07:09.567847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:07:09.384485Z digest=sha256:a3e0030342a17fe536a3ce63cc462a8b73e114afa14fd60e4658ae836ba0c3db

Observation 79f40098-b143-4252-a787-a8550960e704 · outbound

This paper cites Proyek Akhir - OFA5 Dataset.

The effects of using created synthetic images in computer vision training Proyek Akhir - OFA5 Dataset

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:07:09.554787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:07:09.388062Z digest=sha256:db326160958f4c4be276163a371157f1cc846d8c607a0673c9ca404c9191ae44

Observation e916f6d2-536a-4c3c-8397-7d37400513cf · outbound

This paper cites Welding_Detection_v2 Dataset.

The effects of using created synthetic images in computer vision training Welding_Detection_v2 Dataset

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:07:09.540194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:07:09.391665Z digest=sha256:355c2a2259398b80c6b545918dde9527901c03476b101adb3d2c5545eb46f413

Observation f8194291-728d-453e-98c6-a008aeee0be6 · outbound

This paper cites Cats vs Dogs.

The effects of using created synthetic images in computer vision training Cats vs Dogs

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:07:09.527036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:07:09.395382Z digest=sha256:31f5713040f89ec88a322d9e72323d3994f1cf1e54ddfacd823f3def0987089f

Observation 37f95dd2-d69e-4e19-b1b8-530d9a5dc35c · outbound

This paper cites Weld_detections Dataset.

The effects of using created synthetic images in computer vision training Weld_detections Dataset

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:07:09.513596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:07:09.399150Z digest=sha256:0fb64e2b923e28494f072d01f05a1f0a31737d08c51d0744011c9056cf077598

Observation bac23b6c-2e14-499b-8803-34909e0fd605 · outbound

This paper cites Final Dataset Dataset.

The effects of using created synthetic images in computer vision training Final Dataset Dataset

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-07T11:07:09.499852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:07:09.403176Z digest=sha256:2e9a5b973f75cdaff0e90cc7195d4940a366cb85faea7aec2a6cda4e56fd53eb

Observation 62ec316e-428a-464b-9bb5-235dfe956bf5 · outbound

This paper cites Samur Art.

The effects of using created synthetic images in computer vision training Samur Art

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-07T11:07:09.486977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:07:09.407171Z digest=sha256:64ce2d5d5f8210a545c6ca91374431d02d27e78d14cba02b068e78fa55fdce8d

Observation e8c6cfc2-4887-44dd-a81c-6d6f654f939b · outbound

This paper cites an unresolved cited work.

The effects of using created synthetic images in computer vision training Unresolved cited work

Reference 2024

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unresolved
raw_fallback, observed 2026-08-07T11:07:09.680292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.