Paper Citation Record · LEDGER

Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.29473.

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

pith.paper-citation-record.v1
2607.29473 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:28:15.621276Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

13 of 13 outbound references displayed

verified exact0
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 346c3094-c4cc-4be3-88b4-dc61bffbe561 · outbound

This paper cites an unresolved cited work.

Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T06:28:14.116939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2add4a6b-8f1b-434d-9b72-7b19556ef08f · outbound

This paper cites IEEE Transactions on Neural Systems and Reha- bilitation Engineering30(2022) 1298–1309.

Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module IEEE Transactions on Neural Systems and Reha- bilitation Engineering30(2022) 1298–1309

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T06:28:14.190545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bb6f72d-2bf7-48eb-830b-64bee0f3fa6c · outbound

This paper cites IEEE Sensors Journal20(18) (2020) 10706–10716.

Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module IEEE Sensors Journal20(18) (2020) 10706–10716

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T06:28:14.337767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a3aaac1-233d-4213-9f7c-eadc914fcd26 · outbound

This paper cites Sensors19(23) (2019) 5238.

Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module Sensors19(23) (2019) 5238

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T06:28:14.485071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98904fc1-310f-40f3-bff4-185236f6640a · outbound

This paper cites In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Sys- tems (IROS), IEEE (2017) 5908–5915.

Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Sys- tems (IROS), IEEE (2017) 5908–5915

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T06:28:14.599728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7aca15d-ef72-49cd-bcc2-c0bb7ff89629 · outbound

This paper cites Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations.

Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T06:28:14.775447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01e94916-44f7-42b0-be78-80e97d415db6 · outbound

This paper cites A large scale multi-view RGBD visual affordance learning dataset.

Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module A large scale multi-view RGBD visual affordance learning dataset

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T06:28:14.882558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 052c1673-3be3-495c-aab0-1c30c63b1a00 · outbound

This paper cites IEEE Access9(2021) 123178–123193.

Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module IEEE Access9(2021) 123178–123193

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T06:28:15.003715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 315318db-1fd3-4082-baa0-9437c5e50a10 · outbound

This paper cites In: 2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS), IEEE 1–6.

Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module In: 2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS), IEEE 1–6

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T06:28:15.163871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 982f26ca-6840-47a2-b999-4f3cc38e30df · outbound

This paper cites In: Applications in Electronics Pervading Industry, Environment and Society: APPLEPIES 2022.

Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module In: Applications in Electronics Pervading Industry, Environment and Society: APPLEPIES 2022

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T06:28:15.333586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4e53f1d-c829-4895-b82c-88453cdbc858 · outbound

This paper cites A Comprehensive Survey on Hardware-Aware Neural Architecture Search.

Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module A Comprehensive Survey on Hardware-Aware Neural Architecture Search

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T06:28:15.504280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da823936-1530-4856-bb81-dc780a9886e0 · outbound

This paper cites In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE (2016) 2765–2770.

Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE (2016) 2765–2770

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T06:28:15.555200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16d9263d-893a-4edf-ad7a-0d1d9a62194b · outbound

This paper cites In: 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), IEEE (2022) 1–4.

Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module In: 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), IEEE (2022) 1–4

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T06:28:15.621276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.