Paper Citation Record · LEDGER

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads

As of 13 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2411.16295.

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

pith.paper-citation-record.v1
2411.16295 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:19:14.358578Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

29 of 29 outbound references displayed

verified exact0
verified fuzzy20
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7eaf8eb-2a19-4d77-af4a-b3a19f885335 · outbound

This paper cites Advances in Neural Information Processing Systems34, 22614–22627 (2021).

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads Advances in Neural Information Processing Systems34, 22614–22627 (2021)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.624225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f009046d-af30-438d-81bb-625c8636f5ef · outbound

This paper cites Pattern Recognition Letters30(2), 88–97 (2009).

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads Pattern Recognition Letters30(2), 88–97 (2009)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.615261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 04c345f8-e0d1-4e41-916f-337dfc28d22b · outbound

This paper cites IEEE transactions on pattern analysis and machine intelli- gence 40(4), 834–848 (2017).

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads IEEE transactions on pattern analysis and machine intelli- gence 40(4), 834–848 (2017)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T13:19:14.265709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfabbf5e-91de-4aad-9014-9356b0d8a5f4 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.600806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0d6880cb-abfe-4265-b417-a21564ead57f · outbound

This paper cites In: Proceedings of the European conference on computer vision (ECCV).

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads In: Proceedings of the European conference on computer vision (ECCV)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T13:19:14.272728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9d3a5d1-0503-4f88-9521-25b67d4cd6c4 · outbound

This paper cites SEST SENAT (2021), https:// pesquisarodovias.cnt.org.br/downloads/ultimaversao/.

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads SEST SENAT (2021), https:// pesquisarodovias.cnt.org.br/downloads/ultimaversao/

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.586502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1a5bc45d-2df5-48b7-a0b9-7f092aa2e0a2 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T13:19:14.280678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28a73e6f-62f1-4da6-89ae-1843e5d13d66 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence 43(2), 652–662 (2019).

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads IEEE transactions on pattern analysis and machine intelligence 43(2), 652–662 (2019)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.572413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c02186b6-a555-463e-8d45-8b2c5c66fb4e · outbound

This paper cites The International Journal of Robotics Research32(11), 1231–1237 (2013).

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads The International Journal of Robotics Research32(11), 1231–1237 (2013)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T13:19:14.286837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fec345bf-51ef-4f8d-9520-8dc7e87f4bb7 · outbound

This paper cites In: 2018 IEEE winter conference on applications of computer vision (WACV).

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads In: 2018 IEEE winter conference on applications of computer vision (WACV)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.558361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5e9a5317-2311-40bd-bb72-3e7bb332b14c · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.550687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e2b737ff-617c-4478-b087-2c204ef27256 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.542351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7d7fb263-da85-4f9b-b7bf-42def7fad61a · outbound

This paper cites Improving Generalization Performance by Switching from Adam to SGD.

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads Improving Generalization Performance by Switching from Adam to SGD

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T13:19:14.300122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c20cef77-1093-497e-8c38-fd6f0684a749 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.534363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 683f5658-90fc-477f-8522-5a547c6fd7d5 · outbound

This paper cites Sensors 19(19), 4115 (2019).

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads Sensors 19(19), 4115 (2019)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.526275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 322e1cd8-96c3-45fd-920f-a69d69863890 · outbound

This paper cites In: 2020 25th International Conference on Pattern Recognition (ICPR).

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads In: 2020 25th International Conference on Pattern Recognition (ICPR)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.517846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 95e99ab2-552c-4a09-a04f-3c9abf55e9b0 · outbound

This paper cites Revista de Informática Teórica e Aplicada26(3), 50–64 (2019).

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads Revista de Informática Teórica e Aplicada26(3), 50–64 (2019)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.509350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e77bd290-ab9b-466d-810c-44f2a7154200 · outbound

This paper cites Autonomous Robots45(2), 299–312 (2021).

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads Autonomous Robots45(2), 299–312 (2021)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.500236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 35085ecd-05f1-49d9-bfee-ab4a70f4893a · outbound

This paper cites In: Proceedings of the IEEE international conference on computer vision.

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads In: Proceedings of the IEEE international conference on computer vision

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.489707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 626bfd0b-861d-4aae-8f72-f521152e5794 · outbound

This paper cites In: 2016 IEEE 19th international conference on intelligent transportation systems (ITSC).

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads In: 2016 IEEE 19th international conference on intelligent transportation systems (ITSC)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.480621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f9a62b51-2b1e-466f-abfd-a1602b2ecf9e · outbound

This paper cites Hierarchical Multi-Scale Attention for Semantic Segmentation.

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads Hierarchical Multi-Scale Attention for Semantic Segmentation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T13:19:14.326214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1578991a-beb2-4103-859a-ee110a170999 · outbound

This paper cites In: 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads In: 2019 IEEE Winter Conference on Applications of Computer Vision (WACV)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.470990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 91b3f14e-c885-4e9d-960c-60421d4ee5a7 · outbound

This paper cites In: 2018 IEEE winter conference on applications of computer vision (WACV).

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads In: 2018 IEEE winter conference on applications of computer vision (WACV)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.461831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6a69ad04-b718-41df-b15a-bf79abe1b3b7 · outbound

This paper cites ResNet strikes back: An improved training procedure in timm.

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads ResNet strikes back: An improved training procedure in timm

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T13:19:14.336196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7df7e86c-7c78-426e-9f49-71a768badc3e · outbound

This paper cites International Journal of Computer Vision129(11), 3051–3068 (2021).

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads International Journal of Computer Vision129(11), 3051–3068 (2021)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.453400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 38b0d417-2112-484b-b48c-7dd195250f47 · outbound

This paper cites Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation.

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T13:19:14.345701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a67910a-1ecd-4b75-a115-09653b3df215 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T13:19:14.350348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b1d703c-fb02-4c47-a68c-a1499ee07e76 · outbound

This paper cites Advances in Neural Information Processing Systems33, 21285–21296 (2020).

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads Advances in Neural Information Processing Systems33, 21285–21296 (2020)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.438888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation df136ac6-d3e3-4f1c-b857-1aefca4f2174 · outbound

This paper cites In: proceedings of the IEEE conference on computer vision and pattern recognition.

A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads In: proceedings of the IEEE conference on computer vision and pattern recognition

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:19:14.427712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.