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Paper Citation Record · LEDGER

ColorNet -- Estimating Colorfulness in Natural Images

As of 16 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:1908.08505.

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

pith.paper-citation-record.v1
1908.08505 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:41:58.444852Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:41:58.289749Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T11:41:58.484147Z

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 72421dbc-9925-45b2-b9fa-af870fcaad2f · outbound

This paper cites It affects hu- man behavior and decision processes both in nature and in society, as color conveys pivotal information about the surroundings.

ColorNet -- Estimating Colorfulness in Natural Images It affects hu- man behavior and decision processes both in nature and in society, as color conveys pivotal information about the surroundings

Reference 1

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Observation 3abebdc2-8b23-498f-940b-ed62cc27d0fb · outbound

This paper cites ColorNet -- Estimating Colorfulness in Natural Images.

ColorNet -- Estimating Colorfulness in Natural Images ColorNet -- Estimating Colorfulness in Natural Images

Reference 2

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Observation 265064b6-f418-4ea1-902a-ab668ad21627 · outbound

This paper cites an unresolved cited work.

ColorNet -- Estimating Colorfulness in Natural Images Unresolved cited work

Reference 3

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Observation 274df69d-a5cd-4f7d-b32d-9b73c7e6df96 · outbound

This paper cites an unresolved cited work.

ColorNet -- Estimating Colorfulness in Natural Images Unresolved cited work

Reference 4

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Observation adee4185-489c-4eb1-ad39-6813e7ecf7e8 · outbound

This paper cites In our paper, we removed the three fully connected layers of the VGG16 architecture and simply fed the resulting feature vector into the proposed rating network.

ColorNet -- Estimating Colorfulness in Natural Images In our paper, we removed the three fully connected layers of the VGG16 architecture and simply fed the resulting feature vector into the proposed rating network

Reference 5

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Observation 335082de-f7bc-4e2b-bfa6-711d367012b9 · outbound

This paper cites Similar to VGG [22], the ResNet architecture has small3× 3 convolutions, however with an additional concept of residual learning applied to every few stacked layers.

ColorNet -- Estimating Colorfulness in Natural Images Similar to VGG [22], the ResNet architecture has small3× 3 convolutions, however with an additional concept of residual learning applied to every few stacked layers

Reference 6

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Source-reported events for the cited work

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Observation 9b9d17f2-b0d9-43bf-97f3-6d33b25039ea · outbound

This paper cites MobileNet has been a widely adopted network for many mobile and embedded applications.

ColorNet -- Estimating Colorfulness in Natural Images MobileNet has been a widely adopted network for many mobile and embedded applications

Reference 7

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Observation 3eeaa5b3-77a9-411e-947f-0115fbed8bc3 · outbound

This paper cites For training, the input image size is fixed at600× 600, and random crops of size 512× 512 are applied to the image.

ColorNet -- Estimating Colorfulness in Natural Images For training, the input image size is fixed at600× 600, and random crops of size 512× 512 are applied to the image

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 08987f54-11b4-4546-9365-547347e0f95e · outbound

This paper cites an unresolved cited work.

ColorNet -- Estimating Colorfulness in Natural Images Unresolved cited work

Reference 9

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Observation 39d6af54-8b1c-479f-808a-55ec974b53e0 · outbound

This paper cites Automated colour grading using colour distribution transfer,.

ColorNet -- Estimating Colorfulness in Natural Images Automated colour grading using colour distribution transfer,

Reference 10

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Observation 5962c358-59f0-45d4-8d34-8c13f9b13a42 · outbound

This paper cites Display adaptive tone map- ping,.

ColorNet -- Estimating Colorfulness in Natural Images Display adaptive tone map- ping,

Reference 11

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Source-reported events for the cited work

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Observation 83f421b7-9873-4d25-901c-559fdf866d34 · outbound

This paper cites A gamut-mapping framework for color- accurate reproduction of HDR images,.

ColorNet -- Estimating Colorfulness in Natural Images A gamut-mapping framework for color- accurate reproduction of HDR images,

Reference 12

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Source-reported events for the cited work

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Observation 85617ad3-b8fa-477a-8999-c2c7a7471eae · outbound

This paper cites Color correction for tone mapping,.

ColorNet -- Estimating Colorfulness in Natural Images Color correction for tone mapping,

Reference 13

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Source-reported events for the cited work

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Observation 38e7d7a5-a71c-4741-8e9e-a681014b120d · outbound

This paper cites Measuring colorfulness in natural im- ages,.

ColorNet -- Estimating Colorfulness in Natural Images Measuring colorfulness in natural im- ages,

Reference 14

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Observation 0bc2af8a-7887-4ee0-964d-54249a582d98 · outbound

This paper cites an unresolved cited work.

ColorNet -- Estimating Colorfulness in Natural Images Unresolved cited work

Reference 15

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Observation bbc8cca5-ff05-4065-98e9-3db87be2e8cb · outbound

This paper cites Calibrated image appearance reproduction,.

ColorNet -- Estimating Colorfulness in Natural Images Calibrated image appearance reproduction,

Reference 16

Resolution
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Source-reported events for the cited work

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Observation f5335916-587e-421a-beab-4c28e0c2588e · outbound

This paper cites Learning-based tone mapping operator for efficient image matching,.

ColorNet -- Estimating Colorfulness in Natural Images Learning-based tone mapping operator for efficient image matching,

Reference 17

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Source-reported events for the cited work

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Observation a22a8eb9-c39b-4238-aa24-e004bc28da64 · outbound

This paper cites Learning-based Adaptive Tone Mapping for Keypoint De- tection,.

ColorNet -- Estimating Colorfulness in Natural Images Learning-based Adaptive Tone Mapping for Keypoint De- tection,

Reference 18

Resolution
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Observation cfaf86a4-ab5b-4f3b-87b3-ddef06b8801f · outbound

This paper cites Learning-Based Tone Mapping Operator for Image Matching,.

ColorNet -- Estimating Colorfulness in Natural Images Learning-Based Tone Mapping Operator for Image Matching,

Reference 19

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Source-reported events for the cited work

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Observation 1260e295-d3b9-4fde-9b2b-9d172686a0f5 · outbound

This paper cites Studying aesthetics in photo- graphic images using a computational approach,.

ColorNet -- Estimating Colorfulness in Natural Images Studying aesthetics in photo- graphic images using a computational approach,

Reference 20

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Observation 2c2b19cb-7d36-4aab-8268-3665e1074849 · outbound

This paper cites Automated aesthetic analy- sis of photographic images,.

ColorNet -- Estimating Colorfulness in Natural Images Automated aesthetic analy- sis of photographic images,

Reference 21

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Observation ba0297b2-60e8-4a59-9c14-ab3fc969ca26 · outbound

This paper cites Improving color reproduction ac- curacy on cameras,.

ColorNet -- Estimating Colorfulness in Natural Images Improving color reproduction ac- curacy on cameras,

Reference 22

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Source-reported events for the cited work

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Observation 75dfc92d-a393-4919-8d26-0124c719bb02 · outbound

This paper cites Analysis of public image and video databases for qual- ity assessment,.

ColorNet -- Estimating Colorfulness in Natural Images Analysis of public image and video databases for qual- ity assessment,

Reference 23

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Source-reported events for the cited work

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Observation f3d88a44-0814-428f-b6c2-ade045c0b3b6 · outbound

This paper cites Selecting scenes for 2D and 3D subjective video quality tests,.

ColorNet -- Estimating Colorfulness in Natural Images Selecting scenes for 2D and 3D subjective video quality tests,

Reference 24

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Source-reported events for the cited work

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Observation bfd40852-4ec8-4873-a953-d008256f015f · outbound

This paper cites Optimizing color reproduction of natural images,.

ColorNet -- Estimating Colorfulness in Natural Images Optimizing color reproduction of natural images,

Reference 25

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Observation 10c59ede-1abb-4807-9293-31e25118672e · outbound

This paper cites No reference color image contrast and quality measures,.

ColorNet -- Estimating Colorfulness in Natural Images No reference color image contrast and quality measures,

Reference 26

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Source-reported events for the cited work

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Observation 88beb3d2-6214-4044-abe7-2ad4b5d0b116 · outbound

This paper cites Towards generating ambisonics using audio-visual cue for virtual reality,.

ColorNet -- Estimating Colorfulness in Natural Images Towards generating ambisonics using audio-visual cue for virtual reality,

Reference 27

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This paper cites A study of image colourful- ness,.

ColorNet -- Estimating Colorfulness in Natural Images A study of image colourful- ness,

Reference 28

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Source-reported events for the cited work

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Observation 5f56fc93-d059-42c5-b767-7147e704dfcb · outbound

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ColorNet -- Estimating Colorfulness in Natural Images Unresolved cited work

Reference 29

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Observation 2d4fd3df-dcf6-4e93-9526-390b0c0ffe1e · outbound

This paper cites Revision of the chroma and hue scales of a nonlinear color-appearance model,.

ColorNet -- Estimating Colorfulness in Natural Images Revision of the chroma and hue scales of a nonlinear color-appearance model,

Reference 30

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Observation 981bc242-42b6-4c5e-9aff-1af07c4c0a0f · outbound

This paper cites Very deep convolutional networks for large-scale image recognition,.

ColorNet -- Estimating Colorfulness in Natural Images Very deep convolutional networks for large-scale image recognition,

Reference 31

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Source-reported events for the cited work

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Observation a98582ad-e0b4-4a0b-b227-5724c7648bec · outbound

This paper cites Deep residual learning for im- age recognition,.

ColorNet -- Estimating Colorfulness in Natural Images Deep residual learning for im- age recognition,

Reference 32

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Source-reported events for the cited work

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Observation 290d9010-597f-4526-82d5-d8a2f0e8b643 · outbound

This paper cites MobileNets: Efficient convo- lutional neural networks for mobile vision applications.

ColorNet -- Estimating Colorfulness in Natural Images MobileNets: Efficient convo- lutional neural networks for mobile vision applications

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a7473ba9-4803-478a-9b02-33ed559ad65a · outbound

This paper cites Objective evalua- tion of naturalness, contrast, and colorfulness of tone-mapped images,.

ColorNet -- Estimating Colorfulness in Natural Images Objective evalua- tion of naturalness, contrast, and colorfulness of tone-mapped images,

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d1396fcf-20cf-4db9-a44d-39e94f7e12f1 · outbound

This paper cites Evaluation of HDR tone mapping methods using essential perceptual attributes,.

ColorNet -- Estimating Colorfulness in Natural Images Evaluation of HDR tone mapping methods using essential perceptual attributes,

Reference 35

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:41:58.405117Z digest=sha256:2ff74d83220bb2199da064b348ca1000079e49aed520204ca9eff5787133d1a2

Observation 495031cb-02c8-4959-b10f-0835c8ac9bd5 · outbound

This paper cites NIMA: Neural image assessment,.

ColorNet -- Estimating Colorfulness in Natural Images NIMA: Neural image assessment,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:41:58.602258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:41:58.408539Z digest=sha256:48f56213c46a831b9deaa2ccd1a9ea68bd60f206fa107fde383f5ddb2d929048

Observation cc10300a-f1f4-4e5b-9b30-ba6c3255ec45 · outbound

This paper cites Convolutional neural net- works for no-reference image quality assessment,.

ColorNet -- Estimating Colorfulness in Natural Images Convolutional neural net- works for no-reference image quality assessment,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:41:58.590711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:41:58.411899Z digest=sha256:7e957d710055294fdb752ceb563c73b75eb1be9d226c6909d5d3d8b71086f6a1

Observation 4c0bfdb7-8297-442e-ab7b-e77c314b2f52 · outbound

This paper cites A practical guide and software for analysing pairwise comparison experiments.

ColorNet -- Estimating Colorfulness in Natural Images A practical guide and software for analysing pairwise comparison experiments

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T11:41:58.415533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:41:58.415533Z digest=sha256:b2a3cb2307025a97d438a805e735db7e71e62432a58ca3c481c2a512db2cdd3e

Observation cbd4f5d7-d700-4a9e-bca9-8573702acace · outbound

This paper cites an unresolved cited work.

ColorNet -- Estimating Colorfulness in Natural Images Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:41:58.578469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:41:58.419424Z digest=sha256:1b988ed2746406ad00e3c1f239de58de9d1c84e8316d0e0bc087c85675aabcde

Observation 94fbf794-7706-435e-90d1-35957a32d6cc · outbound

This paper cites Aligning subjective tests using a low cost common set,.

ColorNet -- Estimating Colorfulness in Natural Images Aligning subjective tests using a low cost common set,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:41:58.567122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:41:58.422994Z digest=sha256:eecb1c5949e080bc54620f2ed9ded7e538fe3f1e7d91e352a9e69fb0a7fd1941

Observation 8fa198ae-8c7c-4183-9045-640e6d829d8c · outbound

This paper cites Boosting paired comparison methodology in measuring visual discomfort of 3DTV: performances of three different designs,.

ColorNet -- Estimating Colorfulness in Natural Images Boosting paired comparison methodology in measuring visual discomfort of 3DTV: performances of three different designs,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:41:58.555574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:41:58.426214Z digest=sha256:426ac21b25022876f32f6d820a4c85186b3115271a0a00527d48fb2e09d93e86

Observation 10bb77bd-bf05-4c11-a4b5-b7b031374019 · outbound

This paper cites Subjective assessment methods for 3D video quality,.

ColorNet -- Estimating Colorfulness in Natural Images Subjective assessment methods for 3D video quality,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:41:58.543607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:41:58.429472Z digest=sha256:a28c0e5bcab8d9b988bcb7ace0428e6f4c3f12f79c2821098e2ffaeb8ec56ee5

Observation 43e114b9-4d9c-4283-bfcb-d68c48b1e3ab · outbound

This paper cites What’s new in Psychtoolbox-3,.

ColorNet -- Estimating Colorfulness in Natural Images What’s new in Psychtoolbox-3,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:41:58.532431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:41:58.432746Z digest=sha256:e0d67a12f0f81a2f432c6295e3a67488e7e5a0d0e7ad2c1c11e12386d8072d48

Observation 19d9df59-c97e-494e-aa97-2262cd5e7bc4 · outbound

This paper cites Adam: A method for stochastic optimization,.

ColorNet -- Estimating Colorfulness in Natural Images Adam: A method for stochastic optimization,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-14T11:41:58.436741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:41:58.436741Z digest=sha256:ca8cf25c7e4860f6a156ed3fca364b0aabb2319aa516ef3d9e7da2a404d66825

Observation 391fe148-eb71-412b-9f82-4088fe6781b1 · outbound

This paper cites Automatic differen- tiation in PyTorch,.

ColorNet -- Estimating Colorfulness in Natural Images Automatic differen- tiation in PyTorch,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:41:58.514780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:41:58.440506Z digest=sha256:a600c26c462250cade4ddd892b55c73ac4430d4ca699eca73ad9f68e6ab03a5c

Observation f41a503f-a871-48a0-bdd0-53c1398dd6fb · outbound

This paper cites Ima- geNet: A large-scale hierarchical image database,.

ColorNet -- Estimating Colorfulness in Natural Images Ima- geNet: A large-scale hierarchical image database,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:41:58.502695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:41:58.444852Z digest=sha256:dace9869698401876c149178446b0abcf6e79b59947fa84f1681173b4f0afe46

Pith citing papers

Observation 3abebdc2-8b23-498f-940b-ed62cc27d0fb · inbound

ColorNet -- Estimating Colorfulness in Natural Images cites this paper.

ColorNet -- Estimating Colorfulness in Natural Images ColorNet -- Estimating Colorfulness in Natural Images

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:41:58.489734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:41:58.289749Z digest=sha256:1073b246671ebf2ea40c8d2fccc094c79348b6531cd32a71a276241eb5b69170