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Paper Citation Record · LEDGER

Towards High-Resolution Salient Object Detection

As of 16 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:1908.07274.

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

pith.paper-citation-record.v1
1908.07274 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

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measured 53 of 53 standing notices

One-hop event checks from named stored sources.

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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

53 of 53 outbound references displayed

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External citation measurements

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Outbound references

Observation 8c4c9c36-1e5f-43ff-8aab-f09d5cea9c31 · outbound

This paper cites Frequency-tuned salient region detection.

Towards High-Resolution Salient Object Detection Frequency-tuned salient region detection

Reference 1

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Observation df2c2704-ac71-4ba2-94e2-bd159c694908 · outbound

This paper cites Salient object detection: A benchmark.

Towards High-Resolution Salient Object Detection Salient object detection: A benchmark

Reference 2

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Observation b39d7b22-4573-4ab4-9cd7-a074747196b9 · outbound

This paper cites Re- verse attention for salient object detection.

Towards High-Resolution Salient Object Detection Re- verse attention for salient object detection

Reference 3

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Observation 3445f298-8d75-4a2a-a1aa-a6b2de636c42 · outbound

This paper cites Learn- ing active contour models for medical image segmentation.

Towards High-Resolution Salient Object Detection Learn- ing active contour models for medical image segmentation

Reference 4

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Observation 3a795900-da59-4810-a72b-520f07f95b99 · outbound

This paper cites Salientshape: Group saliency in image collections.

Towards High-Resolution Salient Object Detection Salientshape: Group saliency in image collections

Reference 5

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Observation ea25cb8e-374d-439e-894a-e378ed7b3ade · outbound

This paper cites Global contrast based salient region detection.

Towards High-Resolution Salient Object Detection Global contrast based salient region detection

Reference 6

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Observation 3924363c-90cc-45fb-a24f-61d8b55f15e7 · outbound

This paper cites Human attention in visual question an- swering: Do humans and deep networks look at the same regions? CVIU, 163:90–100, 2017.

Towards High-Resolution Salient Object Detection Human attention in visual question an- swering: Do humans and deep networks look at the same regions? CVIU, 163:90–100, 2017

Reference 7

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Observation 44255bcf-35c7-4741-aa54-e575eca2bdf0 · outbound

This paper cites Salient objects in clut- ter: Bringing salient object detection to the foreground.

Towards High-Resolution Salient Object Detection Salient objects in clut- ter: Bringing salient object detection to the foreground

Reference 8

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Observation 769a848e-f9ba-4af7-93f2-2a9a469bbaf2 · outbound

This paper cites Structure-measure: A New Way to Evaluate Fore- ground Maps.

Towards High-Resolution Salient Object Detection Structure-measure: A New Way to Evaluate Fore- ground Maps

Reference 9

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Observation 624cd92f-d7d7-4972-a2a4-c6318c1ae592 · outbound

This paper cites From captions to vi- sual concepts and back.

Towards High-Resolution Salient Object Detection From captions to vi- sual concepts and back

Reference 10

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Observation 090e0c99-a59b-47e3-b758-fd30b5c72fc3 · outbound

This paper cites Yet another survey on image segmentation: Re- gion and boundary information integration.

Towards High-Resolution Salient Object Detection Yet another survey on image segmentation: Re- gion and boundary information integration

Reference 11

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Observation 5c23aef6-2e9e-4293-b42f-e0a728cbcb6b · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level perfor- mance on imagenet classification.

Towards High-Resolution Salient Object Detection Delving deep into rectifiers: Surpassing human-level perfor- mance on imagenet classification

Reference 12

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Observation d0df1fd9-7845-4c30-92bc-2f1ab35d2a7a · outbound

This paper cites Deep residual learning for image recognition.

Towards High-Resolution Salient Object Detection Deep residual learning for image recognition

Reference 13

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Observation d4fb0499-709f-41cb-ba4e-46d483f429a3 · outbound

This paper cites Deeply supervised salient ob- ject detection with short connections.

Towards High-Resolution Salient Object Detection Deeply supervised salient ob- ject detection with short connections

Reference 14

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Observation f23830d5-7995-499b-a8d9-a5b6eb278b0d · outbound

This paper cites Densely connected convolutional net- works.

Towards High-Resolution Salient Object Detection Densely connected convolutional net- works

Reference 15

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Observation dd23d735-1644-4207-9eaa-28ef371c2f7e · outbound

This paper cites A model of saliency-based visual attention for rapid scene analysis.

Towards High-Resolution Salient Object Detection A model of saliency-based visual attention for rapid scene analysis

Reference 16

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Observation 8dc4a0f1-0bbc-4230-b240-339cbb8b639c · outbound

This paper cites Caffe: Convolutional architecture for fast feature embedding.

Towards High-Resolution Salient Object Detection Caffe: Convolutional architecture for fast feature embedding

Reference 17

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Observation a380b328-e58f-4a19-a642-6d201429eb14 · outbound

This paper cites Exploiting saliency for object segmentation from image level labels.

Towards High-Resolution Salient Object Detection Exploiting saliency for object segmentation from image level labels

Reference 18

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Observation 1dbaf849-44eb-43b4-a4ba-60dcfabd1a43 · outbound

This paper cites Efficient inference in fully connected crfs with gaussian edge potentials.

Towards High-Resolution Salient Object Detection Efficient inference in fully connected crfs with gaussian edge potentials

Reference 19

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Observation 38da7dc2-b6fc-444b-aa7e-091648f88b29 · outbound

This paper cites Saliency guided dictionary learning for weakly-supervised image parsing.

Towards High-Resolution Salient Object Detection Saliency guided dictionary learning for weakly-supervised image parsing

Reference 20

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Observation 53eeb6a8-ac08-44ed-83d3-c300736c8251 · outbound

This paper cites Visual saliency based on multi- scale deep features.

Towards High-Resolution Salient Object Detection Visual saliency based on multi- scale deep features

Reference 21

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This paper cites Saliency detection via dense and sparse reconstruction.

Towards High-Resolution Salient Object Detection Saliency detection via dense and sparse reconstruction

Reference 22

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Observation 8f92a08c-1970-41e9-a12f-896737f198dc · outbound

This paper cites Interactive local adjustment of tonal val- ues.

Towards High-Resolution Salient Object Detection Interactive local adjustment of tonal val- ues

Reference 23

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Observation 46d54d5c-93c2-4547-b927-3cd1acffc331 · outbound

This paper cites Dhsnet: Deep hierarchical saliency network for salient object detection.

Towards High-Resolution Salient Object Detection Dhsnet: Deep hierarchical saliency network for salient object detection

Reference 24

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Observation 7c207b4a-6ed9-4c74-8a03-2b6f9567a828 · outbound

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Towards High-Resolution Salient Object Detection Fully convolutional networks for semantic segmentation

Reference 25

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Observation d88e8839-f87b-4cdd-bd73-67237ff9b3f4 · outbound

This paper cites Non- local deep features for salient object detection.

Towards High-Resolution Salient Object Detection Non- local deep features for salient object detection

Reference 26

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Towards High-Resolution Salient Object Detection A benchmark dataset and evaluation methodology for video object segmentation

Reference 27

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This paper cites Grabcut: Interactive foreground extraction using iterated graph cuts.

Towards High-Resolution Salient Object Detection Grabcut: Interactive foreground extraction using iterated graph cuts

Reference 28

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Towards High-Resolution Salient Object Detection Automatic por- trait segmentation for image stylization

Reference 29

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This paper cites Very deep convo- lutional networks for large-scale image recognition.

Towards High-Resolution Salient Object Detection Very deep convo- lutional networks for large-scale image recognition

Reference 30

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Observation c1d2ea1f-478e-41a7-baa5-fea1ff750073 · outbound

This paper cites Sky is not the limit: semantic-aware sky replacement.

Towards High-Resolution Salient Object Detection Sky is not the limit: semantic-aware sky replacement

Reference 31

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Observation 087a54bb-87b1-401e-8d4b-a4d82d4eb48c · outbound

This paper cites Deep networks for saliency detection via local estima- tion and global search.

Towards High-Resolution Salient Object Detection Deep networks for saliency detection via local estima- tion and global search

Reference 32

Resolution
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This paper cites Learning to de- tect salient objects with image-level supervision.

Towards High-Resolution Salient Object Detection Learning to de- tect salient objects with image-level supervision

Reference 33

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Observation 19894d70-616f-4848-9f74-090e4c72e8a7 · outbound

This paper cites Saliency detection with recurrent fully con- volutional networks.

Towards High-Resolution Salient Object Detection Saliency detection with recurrent fully con- volutional networks

Reference 34

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Source-reported events for the cited work

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Observation b2626339-9051-4677-9e06-e213e214dd71 · outbound

This paper cites Salience guided depth calibration for perceptually optimized compressive light field 3d display.

Towards High-Resolution Salient Object Detection Salience guided depth calibration for perceptually optimized compressive light field 3d display

Reference 35

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5a4d7ef6-55cc-4f61-bb87-d00abca8cf34 · outbound

This paper cites Detect globally, refine locally: A novel approach to saliency detection.

Towards High-Resolution Salient Object Detection Detect globally, refine locally: A novel approach to saliency detection

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:24:43.043247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 10cceb7a-1279-4628-9bad-ae447acce9a0 · outbound

This paper cites Geodesic saliency using background priors.

Towards High-Resolution Salient Object Detection Geodesic saliency using background priors

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:24:43.030078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4374947b-c0f0-4a72-8949-440ef99ef828 · outbound

This paper cites Fast end-to-end trainable guided filter.

Towards High-Resolution Salient Object Detection Fast end-to-end trainable guided filter

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:24:42.905451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5252d6b6-648b-4e3e-b482-3d23cfa6201f · outbound

This paper cites Auto-Retoucher(ART) - A framework for Background Replacement and Image Editing.

Towards High-Resolution Salient Object Detection Auto-Retoucher(ART) - A framework for Background Replacement and Image Editing

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:24:42.732810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 71157b11-e467-4fe1-b8ce-6a94acaff1a9 · outbound

This paper cites Show, attend and tell: Neural image caption gen- eration with visual attention.

Towards High-Resolution Salient Object Detection Show, attend and tell: Neural image caption gen- eration with visual attention

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:24:42.892205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:24:42.593577Z digest=sha256:40c60c0e3e273d76afd980b622a393522030e1fb45bd80e264f3d66eeaf62382

Observation 9e0529b5-6a0d-4a3a-899b-775d37dd8c3c · outbound

This paper cites Hierarchical saliency detection.

Towards High-Resolution Salient Object Detection Hierarchical saliency detection

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:24:42.879350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:24:42.598187Z digest=sha256:9a21bd16b178dac6104441c79b299efe57109d4909d29e78ab09ea7d28830120

Observation cb786b51-1b09-4ad1-918d-efc4d4c953d0 · outbound

This paper cites Saliency detection via graph-based man- ifold ranking.

Towards High-Resolution Salient Object Detection Saliency detection via graph-based man- ifold ranking

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:24:42.866031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:24:42.601715Z digest=sha256:974f0201756d801fcdfb8ea3579f3f1355fae7129c8e0cc3f0d0cf6a8817bb57

Observation adfbe3d8-df40-44d0-9b06-8034eea60b7d · outbound

This paper cites Multi-scale context aggrega- tion by dilated convolutions.

Towards High-Resolution Salient Object Detection Multi-scale context aggrega- tion by dilated convolutions

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:24:42.853951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d3a6bb2b-36ae-403c-a15e-0283aaa53d3f · outbound

This paper cites Saliency-guided unsupervised feature learning for scene classification.

Towards High-Resolution Salient Object Detection Saliency-guided unsupervised feature learning for scene classification

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:24:42.841240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:24:42.610094Z digest=sha256:94bab31617586e2fd96a623705a0eaf009fc1e546d36ce63f669cbb155060b92

Observation b45ae7e3-4a11-471f-b852-e25051c1956b · outbound

This paper cites A bi-directional message passing model for salient object de- tection.

Towards High-Resolution Salient Object Detection A bi-directional message passing model for salient object de- tection

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:24:42.829238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:24:42.614037Z digest=sha256:aed82d467c28ef369a9ff919daef8e4904f8be96383fa2069969d792def77c76

Observation 4327fd63-6d5b-4ede-b525-e0acb1a84c3b · outbound

This paper cites Hyperfusion-net: Hyper-densely reflective feature fusion for salient object detection.

Towards High-Resolution Salient Object Detection Hyperfusion-net: Hyper-densely reflective feature fusion for salient object detection

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:24:42.814996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:24:42.619853Z digest=sha256:8e710b8c0c7459f90afe9fd96c119bf1fb3c3987ab1a380d880262e04ab5e4fe

Observation 2a2c00fe-09de-4a9c-a24c-58761abe8577 · outbound

This paper cites Salient object detection with lossless feature reflection and weighted structural loss.

Towards High-Resolution Salient Object Detection Salient object detection with lossless feature reflection and weighted structural loss

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:24:42.800133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:24:42.623599Z digest=sha256:ecf1009e09709b51942dce1db4a1b0ac2e04ae17eebe9173301aa9ab8874a538

Observation c7358b13-eb35-42ad-a027-3197600183c9 · outbound

This paper cites Non-rigid Object Tracking via Deep Multi-scale Spatial-temporal Discriminative Saliency Maps.

Towards High-Resolution Salient Object Detection Non-rigid Object Tracking via Deep Multi-scale Spatial-temporal Discriminative Saliency Maps

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:24:42.712301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation cb5c34f9-628a-4bd8-83d8-d45514ebbf0f · outbound

This paper cites Amulet: Aggregating multi-level convolu- tional features for salient object detection.

Towards High-Resolution Salient Object Detection Amulet: Aggregating multi-level convolu- tional features for salient object detection

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:24:42.788119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:24:42.632029Z digest=sha256:fc978cec4229521cf5d86570f8d9fbcff4f6341c57b293bf875c0ad3fe7e513e

Observation e6e808a5-0d34-4679-9e4d-1e20b19c5978 · outbound

This paper cites Learning uncertain convolutional features for accurate saliency detection.

Towards High-Resolution Salient Object Detection Learning uncertain convolutional features for accurate saliency detection

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:24:42.773654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:24:42.635804Z digest=sha256:1a045e96a545d5be77dce03e04347585640d007780e966255f10343441e00b36

Observation 4d765e41-e070-4b0d-a396-81b23f40c6d5 · outbound

This paper cites Agile Amulet: Real-Time Salient Object Detection with Contextual Attention.

Towards High-Resolution Salient Object Detection Agile Amulet: Real-Time Salient Object Detection with Contextual Attention

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:24:42.692013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:24:42.640742Z digest=sha256:6574e3969dd45f3d64a2dfac7522f1d2db488ca792702a5aa19471f1b95ac54c

Observation b8213cf8-c105-4b73-ad99-bd29dbc01cc0 · outbound

This paper cites Saliency detection by multi-context deep learning.

Towards High-Resolution Salient Object Detection Saliency detection by multi-context deep learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:24:42.760521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:24:42.645503Z digest=sha256:6770fd35273a92fa7831993a41531f0bb2331ef1d0d175ad724d88147490a6be

Observation 175792a6-bf48-4f8c-b53e-2bf14bbe5231 · outbound

This paper cites Unsupervised object class discovery via saliency-guided multiple class learning.

Towards High-Resolution Salient Object Detection Unsupervised object class discovery via saliency-guided multiple class learning

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:24:42.747241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T12:24:42.649507Z digest=sha256:5c0fbb74a64fc1608feb8da457dad14509366681bd12fafc95b6f5853d673489

Pith citing papers

No inbound Pith citation observations are available.