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Paper Citation Record · LEDGER

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification

As of 10 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2508.02839.

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pith.paper-citation-record.v1
2508.02839 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:59:21.706727Z

measured 51 of 51 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

51 of 51 outbound references displayed

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External citation measurements

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Outbound references

Observation ded123e5-425e-4192-a264-f4748c9e9440 · outbound

This paper cites Modis collection 5 global land cover: Algorithm refinements and characterization of new datasets,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Modis collection 5 global land cover: Algorithm refinements and characterization of new datasets,

Reference 1

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Observation 26395268-85d9-4e4f-8dab-1f40837bbfba · outbound

This paper cites Cropland distributions from temporal unmixing of modis data,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Cropland distributions from temporal unmixing of modis data,

Reference 2

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Observation d22f5985-9d5f-47ac-86bb-8e04a2bcb821 · outbound

This paper cites The pixel: a snare and a delusion,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification The pixel: a snare and a delusion,

Reference 3

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Observation 5944704a-b304-497e-838b-cca1eb03b102 · outbound

This paper cites Effect of spatial resolution on classification errors of pure and mixed pixels in remote sensing,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Effect of spatial resolution on classification errors of pure and mixed pixels in remote sensing,

Reference 4

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Observation 9b583442-b7a5-4ed5-8d7d-5a2a4ec17325 · outbound

This paper cites The use of single-date modis imagery for estimating large-scale urban impervious surface fraction with spectral mixture analysis and machine learning techniques,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification The use of single-date modis imagery for estimating large-scale urban impervious surface fraction with spectral mixture analysis and machine learning techniques,

Reference 5

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Observation 136ebfea-6321-4aa9-b0f1-98c04c6ab1d4 · outbound

This paper cites A unified spatial-spectral-temporal fusion model using landsat and modis imagery,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification A unified spatial-spectral-temporal fusion model using landsat and modis imagery,

Reference 6

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Observation b94dc920-9713-4e4c-955c-6b472e34bcee · outbound

This paper cites Comparison of support vector machine, neural network, and cart algorithms for the land-cover classification using limited training data points,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Comparison of support vector machine, neural network, and cart algorithms for the land-cover classification using limited training data points,

Reference 7

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Observation 1c542508-dcb5-4ed8-97cb-8c4bf3b3df6d · outbound

This paper cites Land cover classification with support vector machine applied to modis imagery,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Land cover classification with support vector machine applied to modis imagery,

Reference 8

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Observation a540a606-da56-4730-8bd3-8628c7e98018 · outbound

This paper cites Vuolo and C.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Vuolo and C

Reference 9

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Observation 627bfb63-ce20-4939-b6c2-f1554db8ff19 · outbound

This paper cites Charac- terizing land cover/land use from multiple years of landsat and modis time series: A novel approach using land surface phenology modeling and random forest classifier,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Charac- terizing land cover/land use from multiple years of landsat and modis time series: A novel approach using land surface phenology modeling and random forest classifier,

Reference 10

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Observation 312f532c-7763-44e5-8059-0f88d2eb2020 · outbound

This paper cites Temporal optimisation of image acquisition for land cover classification with random forest and modis time-series,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Temporal optimisation of image acquisition for land cover classification with random forest and modis time-series,

Reference 11

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Observation 2cb13520-09cc-4e15-b8d3-effcd76706d0 · outbound

This paper cites Developing a random forest algorithm for modis global burned area classification,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Developing a random forest algorithm for modis global burned area classification,

Reference 12

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Observation 9b843163-71ec-430b-8048-f5709c743a5c · outbound

This paper cites Mapping annual land use and land cover changes using modis time series,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Mapping annual land use and land cover changes using modis time series,

Reference 13

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Source-reported events for the cited work

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Observation cd3656e4-9658-4e30-9b6a-bcaf346725ea · outbound

This paper cites Feature selection of time series modis data for early crop classification using random forest: A case study in kansas, usa,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Feature selection of time series modis data for early crop classification using random forest: A case study in kansas, usa,

Reference 14

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Source-reported events for the cited work

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Observation 6ecd6425-f23c-4d82-874a-f09546194e9f · outbound

This paper cites A cascaded spectral–spatial cnn model for super-resolution river mapping with modis imagery,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification A cascaded spectral–spatial cnn model for super-resolution river mapping with modis imagery,

Reference 15

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Observation 40b937b4-c564-4ded-8b2d-b53aff126b61 · outbound

This paper cites Classification for remote sensing data with improved cnn-svm method,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Classification for remote sensing data with improved cnn-svm method,

Reference 16

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Observation 49908d38-2b23-42ce-94e6-44b615c4600b · outbound

This paper cites Spatiotemporal satellite image fusion using deep convolutional neural networks,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Spatiotemporal satellite image fusion using deep convolutional neural networks,

Reference 17

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Observation 79f52ce0-7d8e-4e5d-8f57-9aef6d6bfbd8 · outbound

This paper cites Large area crops mapping by phenological horizon attention transformer (phat) method using modis time-series imagery,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Large area crops mapping by phenological horizon attention transformer (phat) method using modis time-series imagery,

Reference 18

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Observation eb21dd76-f199-4bf2-98fb-4acb6d4cff11 · outbound

This paper cites High-resolution seamless mapping of the leaf area index via multisource data and the transformer deep learning model,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification High-resolution seamless mapping of the leaf area index via multisource data and the transformer deep learning model,

Reference 19

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Observation 6a77a8b2-d15c-4d16-bbdd-982e731a31a3 · outbound

This paper cites Msnet: A multi-stream fusion network for remote sensing spatiotemporal fusion based on transformer and convolution,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Msnet: A multi-stream fusion network for remote sensing spatiotemporal fusion based on transformer and convolution,

Reference 20

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Observation 068c18cd-a026-4799-83a4-14a3a43099c4 · outbound

This paper cites Spectral–spatial–temporal transformers for hyperspectral image change detection,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Spectral–spatial–temporal transformers for hyperspectral image change detection,

Reference 21

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Observation 92b9fa87-9a12-47e1-ae64-274954b49a5f · outbound

This paper cites A cnn-lstm model for soil organic carbon content prediction with long time series of modis-based phenological variables,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification A cnn-lstm model for soil organic carbon content prediction with long time series of modis-based phenological variables,

Reference 22

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Observation 2676d3bc-fe4f-48de-b7ee-84ff44c8bdb6 · outbound

This paper cites Application of long short-term memory neural network model for the reconstruction of modis land surface tem- perature images,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Application of long short-term memory neural network model for the reconstruction of modis land surface tem- perature images,

Reference 23

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Observation 7bb35fe3-7b62-4cda-a35e-1e18fb199b14 · outbound

This paper cites Development of the glass 250-m leaf area index product (version 6) from modis data using the bidirectional lstm deep learning model,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Development of the glass 250-m leaf area index product (version 6) from modis data using the bidirectional lstm deep learning model,

Reference 24

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Observation 9b8e9b9f-6351-45d2-9440-2d7575295a55 · outbound

This paper cites Learning spectral-spatial- temporal features via a recurrent convolutional neural network for change detection in multispectral imagery,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Learning spectral-spatial- temporal features via a recurrent convolutional neural network for change detection in multispectral imagery,

Reference 25

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This paper cites Land cover classification via multitemporal spatial data by deep recurrent neural networks,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Land cover classification via multitemporal spatial data by deep recurrent neural networks,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 81a1bfe7-6fbd-40b9-9b44-a1ba91bfee48 · outbound

This paper cites Land cover classification using lstm on time series landsat data,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Land cover classification using lstm on time series landsat data,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 90a03ac9-1ea9-46c8-838a-90a2824930fb · outbound

This paper cites A semi-supervised deep learning approach for time series land cover classification,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification A semi-supervised deep learning approach for time series land cover classification,

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 9fdc1ecb-e8d5-4a53-abde-d3cbbf2b0179 · outbound

This paper cites Temporal convolutional neural network for the classification of satellite image time series,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Temporal convolutional neural network for the classification of satellite image time series,

Reference 29

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Source-reported events for the cited work

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Observation cc45e657-44d3-4c8f-9025-06dec0a4a949 · outbound

This paper cites A review of temporal convolutional net- works for land use classification from satellite time series,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification A review of temporal convolutional net- works for land use classification from satellite time series,

Reference 30

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Observation c2a6ddbc-2d53-4df8-a7ae-90567b2a85f7 · outbound

This paper cites The use of remote sensing and gis in watershed level analyses of non-point source pollution problems,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification The use of remote sensing and gis in watershed level analyses of non-point source pollution problems,

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7f2983d4-fe85-44ec-a56e-ca33cada8fa6 · outbound

This paper cites Transformer-based land use and land cover classification with explain- ability using satellite imagery,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Transformer-based land use and land cover classification with explain- ability using satellite imagery,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b77cda7f-9026-4fc8-9034-272181dcfd9d · outbound

This paper cites Earthformer: Exploring space-time transformers for earth system fore- casting,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Earthformer: Exploring space-time transformers for earth system fore- casting,

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 645875eb-f7e8-4bbc-a494-e1ada9c600c0 · outbound

This paper cites Mambahsi: Spa- tial–spectral mamba for hyperspectral image classification,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Mambahsi: Spa- tial–spectral mamba for hyperspectral image classification,

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 05d85431-b27e-4c92-bf1d-c611b08f1d7a · outbound

This paper cites 3dss-mamba: 3d-spectral- spatial mamba for hyperspectral image classification,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification 3dss-mamba: 3d-spectral- spatial mamba for hyperspectral image classification,

Reference 35

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4285eed0-41ec-4b7c-9aed-5869bb2ae624 · outbound

This paper cites Hypermamba: A spectral- spatial adaptive mamba for hyperspectral image classification,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Hypermamba: A spectral- spatial adaptive mamba for hyperspectral image classification,

Reference 36

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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 2026-08-09T06:31:02.800959+00:00.

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Observation a0eb23ac-d920-4b85-a2dd-cc0bf0325ba0 · outbound

This paper cites A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers and Mamba Models.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers and Mamba Models

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 829455e7-017b-4a39-adf7-567e622ca57e · outbound

This paper cites The new generation brain- inspired sparse learning: A comprehensive survey,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification The new generation brain- inspired sparse learning: A comprehensive survey,

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 681fc64f-047f-4cbb-a4db-6c7cdae0c78c · outbound

This paper cites Sparsity in transformers: A systematic literature review,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Sparsity in transformers: A systematic literature review,

Reference 39

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:59:21.659497Z digest=sha256:58fb8698bd22f9a11d551c76cb0c3b919c12ab63172787b7b1331d0326ab472f

Observation f1e8ee42-9df8-44ca-b7ed-ec8bfee1307c · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Generating Long Sequences with Sparse Transformers

Reference 40

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:59:21.663031Z digest=sha256:8888ca32d8aae97adfee3e2a5819dcfc2ddb73ca7840563933193d5b1511aa6d

Observation 3ee49838-1963-4e69-9ae0-421cfd51f960 · outbound

This paper cites Efficient content- based sparse attention with routing transformers,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Efficient content- based sparse attention with routing transformers,

Reference 41

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation edcdc841-5644-42ba-bf4f-26a7d59089bf · outbound

This paper cites Sparse is enough in scaling trans- formers,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Sparse is enough in scaling trans- formers,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:59:21.857025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:59:21.672012Z digest=sha256:b2088c5d9d1f3668df1c60dec42b29fd88da7da6197bfffbf4e9fa548c9829f9

Observation 22f39f39-5730-49dd-a998-0ad8983e8af4 · outbound

This paper cites Adaptively Sparse Transformers.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Adaptively Sparse Transformers

Reference 43

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9c897f65-5572-4675-8c68-529d883a111d · outbound

This paper cites Sparseswin: Swin transformer with sparse transformer block,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Sparseswin: Swin transformer with sparse transformer block,

Reference 44

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:59:21.680242Z digest=sha256:1d55333319acc4d533f40548aa8ee2bf7ec9f37f3c573f39d48f1b7b8b0340c7

Observation 6fb4f679-94a5-457a-b81b-accb57aba662 · outbound

This paper cites Exphormer: Sparse transformers for graphs,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Exphormer: Sparse transformers for graphs,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:59:21.831352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e2f48612-4a2b-49c4-bf37-3e0f991ad414 · outbound

This paper cites Deformable convnets v2: More deformable, better results,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Deformable convnets v2: More deformable, better results,

Reference 46

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no resolver link, observed 2026-08-06T11:59:21.688200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c23c7cf4-58dd-491b-bca8-d7cf3ef48811 · outbound

This paper cites Internimage: Exploring large-scale vision foundation models with deformable convolutions,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Internimage: Exploring large-scale vision foundation models with deformable convolutions,

Reference 47

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unresolved
no resolver link, observed 2026-08-06T11:59:21.691692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:59:21.691692Z digest=sha256:80623a65ba1b84a805ebaecf44efb45441befd4949db17bb2eb7c3e4ae535c8c

Observation 01699bbb-3654-4f02-80ed-392d68716090 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 48

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unresolved
no resolver link, observed 2026-08-06T11:59:21.695224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:59:21.695224Z digest=sha256:c60b7503785170a7e7f3fda02adec12d76b6e69cf72cc650ffe44e503aa5b880

Observation c96445bf-736d-45ff-8dc8-5749b0295b63 · outbound

This paper cites Vision transformer with deformable attention,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Vision transformer with deformable attention,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T11:59:21.699071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:59:21.699071Z digest=sha256:76790a5946a1cfdb14b8d957f3bbc863e1ceb85649132139ed7c1c747223e4fe

Observation 914ffeeb-8c95-4c5b-b5a7-fc35652ad6ed · outbound

This paper cites Dunet: A deformable network for retinal vessel segmentation,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Dunet: A deformable network for retinal vessel segmentation,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:59:21.798398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T11:59:21.703060Z digest=sha256:f5f44b4f94aa93f37873e7a00f001ef0cc79549155bf992d42d67f3c6f917b91

Observation 0bf0a5d3-bae3-4b17-b8d8-5862ba8a8987 · outbound

This paper cites Circa 2010 land cover of canada: Local optimization methodology and product development,.

Spatial-Temporal-Spectral Mamba with Sparse Deformable Token Sequence for Enhanced MODIS Time Series Classification Circa 2010 land cover of canada: Local optimization methodology and product development,

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-06T11:59:21.785955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Pith citing papers

No inbound Pith citation observations are available.