Paper Citation Record · LEDGER

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding

As of 13 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2411.18764.

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

pith.paper-citation-record.v1
2411.18764 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:57:34.260948Z

measured 32 of 32 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

32 of 32 outbound references displayed

verified exact0
verified fuzzy22
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 08773eb9-1249-49d0-9f76-8ebb42576199 · outbound

This paper cites Pettersson, Visual information.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Pettersson, Visual information

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.769004Z

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 e838da1a-e7b4-4097-b2ce-0452ed212cc7 · outbound

This paper cites Strategic alliances and knowledge sharing: synergies or silos?.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Strategic alliances and knowledge sharing: synergies or silos?

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.753232Z

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 a75e66a4-614b-431f-80f9-2dba0576237b · outbound

This paper cites Worth, Studying visual communication.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Worth, Studying visual communication

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.737072Z

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 eefcf140-28a4-40f1-bd4b-11831d49f79b · outbound

This paper cites Seven challenges in image quality assessment: past, present, and future research,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Seven challenges in image quality assessment: past, present, and future research,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.720238Z

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 fea148c7-e568-4175-b213-9aac2959502e · outbound

This paper cites The evolution, challenges, and future of knowledge representation in product design systems,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding The evolution, challenges, and future of knowledge representation in product design systems,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.703161Z

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 0f6bd51a-8a30-493a-bc81-0c42fa755af0 · outbound

This paper cites an unresolved cited work.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T10:57:34.134068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 804f94d2-ef6b-46c1-8334-09019c876232 · outbound

This paper cites Deep convolutional neural networks for image classification: A comprehensive review,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Deep convolutional neural networks for image classification: A comprehensive review,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.675488Z

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 ec7fba99-f4a8-45bf-93c2-aec1e3598dda · outbound

This paper cites Meth- ods in quantitative image analysis,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Meth- ods in quantitative image analysis,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.658782Z

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 5e32204a-2dce-41a0-b9a5-53662a8a4e0c · outbound

This paper cites Image retrieval: Ideas, influences, and trends of the new age,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Image retrieval: Ideas, influences, and trends of the new age,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T10:57:34.148564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 011e84ee-6365-4044-89d4-787f3095fa0b · outbound

This paper cites Search for visual objects by request in the form of a cluster repre- sentation for the structural image description,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Search for visual objects by request in the form of a cluster repre- sentation for the structural image description,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.632848Z

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 298a269c-15f6-4e04-a571-ca5280b961a4 · outbound

This paper cites Cultural evolution of genetic heritability,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Cultural evolution of genetic heritability,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.615663Z

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 a37e3207-8e66-4b3b-a841-13f33d48d880 · outbound

This paper cites Fast Segment Anything.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Fast Segment Anything

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T10:57:34.162662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acd5af9f-b714-4220-acf0-dc9df6b46ff1 · outbound

This paper cites Unet 3+: A full-scale connected unet for medical image segmentation,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Unet 3+: A full-scale connected unet for medical image segmentation,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T10:57:34.168232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fce91d19-c74d-4f94-94a1-aff5a34a67a4 · outbound

This paper cites Transfer learning for medical image classification: a literature review,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Transfer learning for medical image classification: a literature review,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T10:57:34.172983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2030d57-ba72-4c1b-91d3-c6a6797ae1a8 · outbound

This paper cites Fruit image classification model based on mobilenetv2 with deep transfer learning technique,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Fruit image classification model based on mobilenetv2 with deep transfer learning technique,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.579220Z

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 b7efbff1-8721-44a8-ac7c-38219728094a · outbound

This paper cites An industrial-grade solution for agricultural image classification tasks,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding An industrial-grade solution for agricultural image classification tasks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.561790Z

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 e9ed2d5d-a46c-4eb3-a9b9-2bba25534f9b · outbound

This paper cites Wavelet integrated cnns for noise- robust image classification,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Wavelet integrated cnns for noise- robust image classification,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.545869Z

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 2c3d13ab-a00c-44e7-bd76-9ec2f2a51b71 · outbound

This paper cites Generalizing to unseen domains: A survey on domain generalization,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Generalizing to unseen domains: A survey on domain generalization,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T10:57:34.194665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eccdf69-055f-4f1f-864d-eec49dc9bbd1 · outbound

This paper cites Neural retrievers are biased towards llm-generated content,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Neural retrievers are biased towards llm-generated content,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.518684Z

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 78b1b35f-0a09-45dd-8dde-1dfe3c32000a · outbound

This paper cites The evolution of man–machine interaction: The role of human in industry 4.0 paradigm,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding The evolution of man–machine interaction: The role of human in industry 4.0 paradigm,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.502566Z

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 9210ad86-2f09-4005-bf96-fb98cfadbebd · outbound

This paper cites A low-cost multispectral device for in-field fruit ripening assessment,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding A low-cost multispectral device for in-field fruit ripening assessment,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.485220Z

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 335d73b5-bbe0-4d70-a971-375a7ce9e0b7 · outbound

This paper cites Intelligent technologies for construction machinery using data-driven methods,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Intelligent technologies for construction machinery using data-driven methods,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.467101Z

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 0f95b4a1-d01d-46e2-b1a3-1622df1a573f · outbound

This paper cites Enhancing logical thinking among computer science students through cooperative learning,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Enhancing logical thinking among computer science students through cooperative learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.450706Z

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 7d56a326-9b42-4888-9b7d-81478357c356 · outbound

This paper cites Promptmagician: Interactive prompt engineering for text- to-image creation,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Promptmagician: Interactive prompt engineering for text- to-image creation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.433132Z

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 a6ae988f-56cd-4793-8723-24b98c42a6e0 · outbound

This paper cites Genui: interactive and extensible open source software platform for de novo molecular generation and cheminformatics,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Genui: interactive and extensible open source software platform for de novo molecular generation and cheminformatics,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.414560Z

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 647f522a-4dfd-4723-8d13-f3b9d3d63075 · outbound

This paper cites Pfnet: an unsupervised deep network for polarization image fusion,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Pfnet: an unsupervised deep network for polarization image fusion,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.396704Z

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 e15fa620-f194-4228-aa96-9c444a37baa5 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding U-net: Convolutional networks for biomedical image segmentation,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T10:57:34.237519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5c09979-d435-410d-94e4-283cc308f771 · outbound

This paper cites Re- thinking bisenet for real-time semantic segmentation,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Re- thinking bisenet for real-time semantic segmentation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.368167Z

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 a10c39ae-222e-4bf3-a093-ba17757cc4fd · outbound

This paper cites Searching for mobilenetv3,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Searching for mobilenetv3,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T10:57:34.246895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85f0d1ba-128f-4631-be25-b5de86af6e06 · outbound

This paper cites Basnet: Boundary-aware salient object detection,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Basnet: Boundary-aware salient object detection,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T10:57:34.251588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d25498f7-645c-482a-bfb6-449e35354337 · outbound

This paper cites Hyperseg: Patch-wise hypernetwork for real-time semantic segmentation,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding Hyperseg: Patch-wise hypernetwork for real-time semantic segmentation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:57:34.331508Z

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 5322e775-2caa-4be8-a348-fae10109bed1 · outbound

This paper cites U2-net: Going deeper with nested u-structure for salient object detection,.

CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding U2-net: Going deeper with nested u-structure for salient object detection,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T10:57:34.260948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.