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Paper Citation Record · LEDGER

MeasureNet: Measurement Based Celiac Disease Identification

As of 23 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2412.01182.

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

pith.paper-citation-record.v1
2412.01182 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:40:40.288891Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

40 of 40 outbound references displayed

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  • verified fuzzy29
  • unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation edf9fd84-58f2-4a96-b55e-38a72f5be654 · outbound

This paper cites Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation.

MeasureNet: Measurement Based Celiac Disease Identification Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation

Reference 1

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Observation 8c92cc5c-1344-442d-96ba-f393edaf4efe · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

MeasureNet: Measurement Based Celiac Disease Identification BEiT: BERT Pre-Training of Image Transformers

Reference 2

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Observation 4e0b92f1-24b9-4cb5-a357-98fa75c00cc6 · outbound

This paper cites Quantitative image anal- ysis for evaluation of tumor response in clinical oncology.

MeasureNet: Measurement Based Celiac Disease Identification Quantitative image anal- ysis for evaluation of tumor response in clinical oncology

Reference 3

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Observation 7c2b1543-1069-4dd3-8183-5fce68989e4d · outbound

This paper cites End-to- end object detection with transformers.

MeasureNet: Measurement Based Celiac Disease Identification End-to- end object detection with transformers

Reference 4

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Observation 51f5ccbb-aa8b-4eb8-a2dd-ce0b913bf431 · outbound

This paper cites Celiac disease deep learning image clas- sification using convolutional neural networks.

MeasureNet: Measurement Based Celiac Disease Identification Celiac disease deep learning image clas- sification using convolutional neural networks

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 208be42e-6216-4257-ac2f-04a914943158 · outbound

This paper cites Comparison of the interobserver repro- ducibility with different histologic criteria used in celiac dis- ease.

MeasureNet: Measurement Based Celiac Disease Identification Comparison of the interobserver repro- ducibility with different histologic criteria used in celiac dis- ease

Reference 6

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Observation 1d90bdc1-2ddf-4a20-b30b-8624d990e2e9 · outbound

This paper cites Quanti- tative histology-based classification system for assessment of the intestinal mucosal histological changes in patients with celiac disease.

MeasureNet: Measurement Based Celiac Disease Identification Quanti- tative histology-based classification system for assessment of the intestinal mucosal histological changes in patients with celiac disease

Reference 7

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Source-reported events for the cited work

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Observation eaa71d76-9a80-4ec2-b727-ce0676ead47f · outbound

This paper cites Gluten-sensitive enteropathy (celiac disease): controversies in diagnosis and classification.

MeasureNet: Measurement Based Celiac Disease Identification Gluten-sensitive enteropathy (celiac disease): controversies in diagnosis and classification

Reference 8

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Source-reported events for the cited work

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Observation 70677a86-b7dd-48cb-8432-68475eeacb7d · outbound

This paper cites Hierarchical recurrent attention networks for structured online maps.

MeasureNet: Measurement Based Celiac Disease Identification Hierarchical recurrent attention networks for structured online maps

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 376bfd79-8336-4d22-b64d-cf9c01fc0cde · outbound

This paper cites A deep learning-based precision volume calcu- lation approach for kidney and tumor segmentation on com- puted tomography images.

MeasureNet: Measurement Based Celiac Disease Identification A deep learning-based precision volume calcu- lation approach for kidney and tumor segmentation on com- puted tomography images

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7096bc17-78df-42da-bbf8-0cc754697b11 · outbound

This paper cites Segmentation-based quantitative measurements in renal ct imaging using deep learning.

MeasureNet: Measurement Based Celiac Disease Identification Segmentation-based quantitative measurements in renal ct imaging using deep learning

Reference 11

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Observation fe788dc5-3621-4a49-8ad7-ed9ea98182ae · outbound

This paper cites Line-cnn: End- to-end traffic line detection with line proposal unit.

MeasureNet: Measurement Based Celiac Disease Identification Line-cnn: End- to-end traffic line detection with line proposal unit

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0833350f-a8fb-42c5-8e03-e217cf3c86cb · outbound

This paper cites Focal loss for dense object detection.

MeasureNet: Measurement Based Celiac Disease Identification Focal loss for dense object detection

Reference 13

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Source-reported events for the cited work

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Observation 9ab4fb06-e3da-4c2a-9b2f-6b241eb84728 · outbound

This paper cites A com- prehensive review of image line segment detection and de- scription: Taxonomies, comparisons, and challenges.

MeasureNet: Measurement Based Celiac Disease Identification A com- prehensive review of image line segment detection and de- scription: Taxonomies, comparisons, and challenges

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 189c17e2-d9cc-4c2e-801c-ce413491ab07 · outbound

This paper cites Swin transformer v2: Scaling up capacity and resolution.

MeasureNet: Measurement Based Celiac Disease Identification Swin transformer v2: Scaling up capacity and resolution

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d1e43434-9b52-44f3-90ea-75258ff88a3c · outbound

This paper cites Yolino: Generic single shot polyline de- tection in real time.

MeasureNet: Measurement Based Celiac Disease Identification Yolino: Generic single shot polyline de- tection in real time

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation dd0dcf7b-3cfc-477d-aaf3-3c86951b5a44 · outbound

This paper cites A deep learning approach for fully automated measurements of lower extremity alignment in radiographic images.

MeasureNet: Measurement Based Celiac Disease Identification A deep learning approach for fully automated measurements of lower extremity alignment in radiographic images

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2dc17647-56fc-4dea-9de9-5bc7b9695187 · outbound

This paper cites Spatial as deep: Spatial cnn for traffic scene understanding.

MeasureNet: Measurement Based Celiac Disease Identification Spatial as deep: Spatial cnn for traffic scene understanding

Reference 18

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 80fb09b2-12dd-4ed4-85e6-8c8ffec1913a · outbound

This paper cites Deeplsd: Line segment detection and refinement with deep image gradients.

MeasureNet: Measurement Based Celiac Disease Identification Deeplsd: Line segment detection and refinement with deep image gradients

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4dec680a-8823-43bc-990b-4f6d0c2b1353 · outbound

This paper cites Automated classification of celiac disease in histopathological images: a multi-scale approach.

MeasureNet: Measurement Based Celiac Disease Identification Automated classification of celiac disease in histopathological images: a multi-scale approach

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9f91a7d6-acc5-4e0f-9925-5dd80de80929 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

MeasureNet: Measurement Based Celiac Disease Identification U- net: Convolutional networks for biomedical image segmen- tation

Reference 21

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Source-reported events for the cited work

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Observation b11fe255-741d-402a-8211-fd51fb5ba124 · outbound

This paper cites Celiacnet: Celiac disease severity diagnosis on duodenal histopathological images using deep residual net- works.

MeasureNet: Measurement Based Celiac Disease Identification Celiacnet: Celiac disease severity diagnosis on duodenal histopathological images using deep residual net- works

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0c6f1a01-11c4-4cf5-bc4b-c4e3b5a85640 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.

MeasureNet: Measurement Based Celiac Disease Identification Mobilenetv2: Inverted residuals and linear bottlenecks

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 94d7de71-f031-49aa-968f-be51d44dd238 · outbound

This paper cites Deep learning automation of kidney, liver, and spleen segmentation for organ volume measurements in autoso- mal dominant polycystic kidney disease.

MeasureNet: Measurement Based Celiac Disease Identification Deep learning automation of kidney, liver, and spleen segmentation for organ volume measurements in autoso- mal dominant polycystic kidney disease

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2175f982-f110-436b-843e-1eb0ab7bfca0 · outbound

This paper cites Keep your eyes on the lane: Real-time attention-guided lane detection.

MeasureNet: Measurement Based Celiac Disease Identification Keep your eyes on the lane: Real-time attention-guided lane detection

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 09a2d839-0486-41f4-b913-39b0f8c967ce · outbound

This paper cites Polylanenet: Lane estimation via deep polynomial regres- sion.

MeasureNet: Measurement Based Celiac Disease Identification Polylanenet: Lane estimation via deep polynomial regres- sion

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation dabbe85e-fd75-4460-afd2-d05cf49b7f20 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

MeasureNet: Measurement Based Celiac Disease Identification Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 27

Resolution
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Source-reported events for the cited work

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Observation d2d7d129-2dbd-4b08-9c16-265656bfa676 · outbound

This paper cites Evaluating the effect of neoadjuvant chemotherapy for esophageal cancer using the recist system with shorter-axis measurements: a retrospective multicenter study.

MeasureNet: Measurement Based Celiac Disease Identification Evaluating the effect of neoadjuvant chemotherapy for esophageal cancer using the recist system with shorter-axis measurements: a retrospective multicenter study

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a702b74b-3bbf-41e5-9f33-b8cccb34e63c · outbound

This paper cites Lsdnet: Trainable modification of lsd algorithm for real-time line segment detection.

MeasureNet: Measurement Based Celiac Disease Identification Lsdnet: Trainable modification of lsd algorithm for real-time line segment detection

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation bf09c33c-da68-4e79-b0da-62b380fbeb6e · outbound

This paper cites Mlp-mixer: An all-mlp architecture for vision.

MeasureNet: Measurement Based Celiac Disease Identification Mlp-mixer: An all-mlp architecture for vision

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2d22f115-93e9-4e69-949b-8ddcb3141bff · outbound

This paper cites Degpr: Deep guided posterior regularization for multi-class cell de- tection and counting.

MeasureNet: Measurement Based Celiac Disease Identification Degpr: Deep guided posterior regularization for multi-class cell de- tection and counting

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 050b3e9d-1df2-4d2c-8a84-9560a48a8acb · outbound

This paper cites Celiac Disease: A Comprehensive Guide Pa- perback.

MeasureNet: Measurement Based Celiac Disease Identification Celiac Disease: A Comprehensive Guide Pa- perback

Reference 32

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raw_fallback, observed 2026-08-12T04:40:40.512639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9cd380e2-d3ac-454c-80b1-bb0dee2a659c · outbound

This paper cites Lsd: A fast line seg- ment detector with a false detection control.

MeasureNet: Measurement Based Celiac Disease Identification Lsd: A fast line seg- ment detector with a false detection control

Reference 33

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raw_fallback, observed 2026-08-12T04:40:40.494910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 571eccbd-14e2-4daa-8893-942543d43bee · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transform- ers.

MeasureNet: Measurement Based Celiac Disease Identification Segformer: Simple and efficient design for semantic segmentation with transform- ers

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:40:40.478160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T04:40:40.255250Z digest=sha256:cf487407cc74f31cb4e61879ec9f129e2464cdb6e3e48ccb0d8b281eb8f03d52

Observation 806af4d3-c28d-46f9-9287-56f58226444b · outbound

This paper cites Line segment detection using transformers without edges.

MeasureNet: Measurement Based Celiac Disease Identification Line segment detection using transformers without edges

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:40:40.460623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T04:40:40.260394Z digest=sha256:75cc76e4c30b842c85a71f82dcf05b162116723abfe1d2449446469626b20ef6

Observation f629b57e-083b-4d46-b704-75d4e5ac017f · outbound

This paper cites Holistically- attracted wireframe parsing.

MeasureNet: Measurement Based Celiac Disease Identification Holistically- attracted wireframe parsing

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:40:40.443222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T04:40:40.266436Z digest=sha256:9a30a3c90474737be698780c3ff146bf5ad917a9f94f3b66e4f2d3292081b327

Observation 6ac1d063-aa16-474f-bf88-53cc0f8e1869 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

MeasureNet: Measurement Based Celiac Disease Identification mixup: Beyond Empirical Risk Minimization

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T04:40:40.272041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:40:40.272041Z digest=sha256:367e9d1611159ba66495ccdbdf0800612982a99f84dbe47b5dfae2608901f281

Observation 33dafb77-08a0-403b-a4db-dbf1d6f26995 · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

MeasureNet: Measurement Based Celiac Disease Identification DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T04:40:40.277823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:40:40.277823Z digest=sha256:3d9354c64069debc13521abd8c1dc5c205552d41b0ea814fe55df688e8e686b1

Observation d5ef1279-8636-4627-a44c-92dc77deab4f · outbound

This paper cites Effect of Point Selection We used three points to represent a polyline, replicating the first or last point when the original annotation contained only two points.

MeasureNet: Measurement Based Celiac Disease Identification Effect of Point Selection We used three points to represent a polyline, replicating the first or last point when the original annotation contained only two points

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:40:40.424701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T04:40:40.283586Z digest=sha256:7f25b2e7f625aa9cc22e2767ae5145be8e50cbe768bf06f0809e6f61ae5ec5b8

Observation bc8fd64c-bb3d-467f-8390-dbc40bb52754 · outbound

This paper cites an unresolved cited work.

MeasureNet: Measurement Based Celiac Disease Identification Unresolved cited work

Reference 40

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T04:40:40.404614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-12T04:40:40.288891Z digest=sha256:824f916da271e7081ad1ca2a514911c860c8ece9a2a4337323d082063fec2d69

Pith citing papers

No inbound Pith citation observations are available.