NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds | Paper Citation Record

Observation dbd1fd61-f92b-4299-97ef-7f54422ae08c · outbound

This paper cites Mask r-cnn,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Mask r-cnn,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:31.270439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43403454-551f-4aba-905d-9ad98ce32889 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:31.352049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc395176-2262-4296-b144-0d56a14fbdf2 · outbound

This paper cites Shufflenet v2: Practical guidelines for efficient cnn architecture design,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Shufflenet v2: Practical guidelines for efficient cnn architecture design,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:31.419584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5415d469-8468-4b20-af33-3b3c1deedf73 · outbound

This paper cites An energy-and-area-efficient cnn accelerator for universal powers-of- two quantization,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds An energy-and-area-efficient cnn accelerator for universal powers-of- two quantization,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:31.538928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdfdd33e-66e7-4c1a-a351-389f6bde408a · outbound

This paper cites Remap: A spatiotemporal cnn accelerator optimization methodology and toolkit thereof,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Remap: A spatiotemporal cnn accelerator optimization methodology and toolkit thereof,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:31.603936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a5a660d-e9ea-4cc8-98ce-0b23aef736b2 · outbound

This paper cites Hipu: A hybrid intelligent processing unit with fine-grained isa for real-time deep neural network inference applications,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Hipu: A hybrid intelligent processing unit with fine-grained isa for real-time deep neural network inference applications,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:31.695329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 804fc491-009e-4157-b4e2-21311207dd24 · outbound

This paper cites Efficient dataset distillation using random feature approximation,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Efficient dataset distillation using random feature approximation,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:31.791235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cb090b6-bbd8-44da-bf7a-4399d65b9a0c · outbound

This paper cites Scaling up dataset distillation to imagenet-1k with constant memory,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Scaling up dataset distillation to imagenet-1k with constant memory,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:31.856541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be3ec822-b08a-4985-bcfb-da444af19298 · outbound

This paper cites Improved distribution matching for dataset condensation,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Improved distribution matching for dataset condensation,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:31.945880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ffb85eb-d709-4a1b-aadd-2387f1d43012 · outbound

This paper cites Gen- eralizing dataset distillation via deep generative prior,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Gen- eralizing dataset distillation via deep generative prior,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:32.020444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a514740-8fe1-47ec-a1e3-b4c54972a68e · outbound

This paper cites Dataset condensation with distribution match- ing,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Dataset condensation with distribution match- ing,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:32.070751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 074369bc-a293-4f16-ac38-8bb7e58fbf5a · outbound

This paper cites Dataset quantization,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Dataset quantization,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:32.075436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6785768e-caed-44d8-a854-df642063aab1 · outbound

This paper cites Nonlinear manifold learning in functional magnetic resonance imaging uncovers a low-dimensional space of brain dynamics,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Nonlinear manifold learning in functional magnetic resonance imaging uncovers a low-dimensional space of brain dynamics,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:32.164645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8df2ed58-d99c-484d-bef5-cb890d6498fc · outbound

This paper cites The manifold ways of perception,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds The manifold ways of perception,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:32.262070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 155acea7-94d3-4abd-b605-87db3b7ea948 · outbound

This paper cites Nonlinear dimensionality reduction by locally linear embedding,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Nonlinear dimensionality reduction by locally linear embedding,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:32.412199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d2b763c-e8de-42a7-9ad0-8c913874490e · outbound

This paper cites A global geometric framework for nonlinear dimensionality reduction,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds A global geometric framework for nonlinear dimensionality reduction,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:32.494948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f63de14-e4a2-4a75-bbaf-2a9055c5a405 · outbound

This paper cites Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:32.584462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3504c83f-a9b1-4aec-bac8-84327ecabaa0 · outbound

This paper cites Visualizing data using t-sne.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Visualizing data using t-sne

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:32.682701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7432ae8-5c02-4023-9f3d-ef5140f46b63 · outbound

This paper cites Dataset Distillation.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Dataset Distillation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:32.797187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61138910-cd05-44cc-abf7-adaf2ef5a3c6 · outbound

This paper cites Remember the past: Distilling datasets into addressable memories for neural networks,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Remember the past: Distilling datasets into addressable memories for neural networks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:32.906769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de36f59c-c5ec-4c9c-9777-d64385dc0e8e · outbound

This paper cites Dataset Condensation with Gradient Matching.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Dataset Condensation with Gradient Matching

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:33.022330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13350724-02c0-43ae-9043-3c0f3f33635d · outbound

This paper cites Dataset condensation via efficient synthetic-data parame- terization,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Dataset condensation via efficient synthetic-data parame- terization,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:33.098902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bffcd85c-cd07-4998-b03c-aa8d6b337ba9 · outbound

This paper cites Dream: Efficient dataset distillation by representative matching,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Dream: Efficient dataset distillation by representative matching,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:33.253964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba8f8318-8b2e-4792-9fda-480f59329d97 · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:33.419803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c02c6498-463f-4bc7-93c2-c4354ab4e364 · outbound

This paper cites Super-Samples from Kernel Herding.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Super-Samples from Kernel Herding

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:33.593042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49129e65-821b-4ebc-b249-e4768b896a5a · outbound

This paper cites An Empirical Study of Example Forgetting during Deep Neural Network Learning.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds An Empirical Study of Example Forgetting during Deep Neural Network Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:33.758978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c326f030-54f7-4cc0-b9ac-32a087157bad · outbound

This paper cites Active Learning by Acquiring Contrastive Examples.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Active Learning by Acquiring Contrastive Examples

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:33.937652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b717d086-62b1-41ce-a6fa-bb36fda38222 · outbound

This paper cites Deep residual learning for image recognition,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Deep residual learning for image recognition,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:34.039384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19d69843-cdfd-4cbb-af1f-ac16addd4ef6 · outbound

This paper cites Nessa: Near-storage data selection for accelerated machine learning training,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Nessa: Near-storage data selection for accelerated machine learning training,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:34.149737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 809ffe6b-9656-4131-bc46-c0fb2c63e407 · outbound

This paper cites Principal components analysis (pca),.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Principal components analysis (pca),

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:34.323987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11184579-a69b-46bd-9b41-f9b3a1be2cf3 · outbound

This paper cites Linear discriminant analysis,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Linear discriminant analysis,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:34.441996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43e68f70-601e-401e-9157-2c18ce1a7676 · outbound

This paper cites Development of a multi-dimensional scale for measuring the perceived value of a service,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Development of a multi-dimensional scale for measuring the perceived value of a service,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:34.542496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1248b2ae-bc73-44aa-911f-f6b38bf2bfdf · outbound

This paper cites Selection of the optimal parameter value for the isomap algorithm,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Selection of the optimal parameter value for the isomap algorithm,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:34.674041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ed2d5d9-c330-4a52-a2c6-a57429e984c1 · outbound

This paper cites Nonlinear dimensionality reduction by locally linear embedding,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Nonlinear dimensionality reduction by locally linear embedding,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:34.725110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e242bb5-4b5a-47cd-b325-447c52e9bd83 · outbound

This paper cites Laplacian eigenmaps for dimensionality reduction and data representation,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Laplacian eigenmaps for dimensionality reduction and data representation,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:34.821738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffd72804-e600-41d5-b461-dcc4dba19231 · outbound

This paper cites Feoktistov, Differential evolution.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Feoktistov, Differential evolution

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:34.886627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82f45ec5-7676-4354-b904-e3728cf85b5d · outbound

This paper cites Resource-aware distributed dif- ferential evolution for training expensive neural-network-based controller in power electronic circuit,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Resource-aware distributed dif- ferential evolution for training expensive neural-network-based controller in power electronic circuit,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:34.948461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f7beb24-4274-414c-b506-64a104b8ae44 · outbound

This paper cites Hardware implemen- tation of multi-objective differential evolution algorithm: a case study of spectrum allocation in cognitive radio networks,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Hardware implemen- tation of multi-objective differential evolution algorithm: a case study of spectrum allocation in cognitive radio networks,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:35.040702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fa3e39a-711b-4224-8548-d0a92f1cf1d3 · outbound

This paper cites Field programmable gate arrays-based differential evolu- tion coprocessor: a case study of spectrum allocation in cognitive radio network,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Field programmable gate arrays-based differential evolu- tion coprocessor: a case study of spectrum allocation in cognitive radio network,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:35.112281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20b26573-0f6e-4309-b51d-54485d4f827c · outbound

This paper cites Soc based floating point implementation of differential evolution algorithm using fpga,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Soc based floating point implementation of differential evolution algorithm using fpga,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:35.172080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7108d477-3eb3-41fa-acad-29488cd471b3 · outbound

This paper cites Performance evalua- tion of floating point differential evolution hardware accelerator on fpga,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Performance evalua- tion of floating point differential evolution hardware accelerator on fpga,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:35.261391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c23d3af-d6a9-4ac9-a208-89535136c904 · outbound

This paper cites Solving the nonlinear power flow equa- tions with an inexact newton method using gmres,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Solving the nonlinear power flow equa- tions with an inexact newton method using gmres,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:35.327264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58856997-5ecd-4d68-bb44-b2e7fde05ea9 · outbound

This paper cites Universal chiplet interconnect express (ucie): An open industry standard for innovations with chiplets at package level,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Universal chiplet interconnect express (ucie): An open industry standard for innovations with chiplets at package level,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:35.446662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c870db3-c046-440f-b8db-3a3438e7152d · outbound

This paper cites Pci express(pcie) 3.0 accelerator features,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Pci express*(pcie*) 3.0 accelerator features,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:35.539726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bacc2a3-0e62-4c31-9a0b-3d9efb94533d · outbound

This paper cites Dataset Quantization with Active Learning based Adaptive Sampling.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Dataset Quantization with Active Learning based Adaptive Sampling

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:35.639610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e5b865d-c5d4-425d-a88e-2290cf1e3ede · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Mobilenetv2: Inverted residuals and linear bottlenecks,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:35.740602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6a59fcf-f78a-46bc-88bd-929c015ee938 · outbound

This paper cites Cacti 7: New tools for interconnect exploration in innovative off-chip memories,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Cacti 7: New tools for interconnect exploration in innovative off-chip memories,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:35.836222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ac17e99-7db4-4ab3-9d52-9ec0acd83e39 · outbound

This paper cites Theta: A high-efficiency training accel- erator for dnns with triple-side sparsity exploration,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Theta: A high-efficiency training accel- erator for dnns with triple-side sparsity exploration,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:35.905870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9f041bc-26fb-48aa-b54f-4ce5327322df · outbound

This paper cites Generalized binary search,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Generalized binary search,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:35.993625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a1878ac-0a1c-4147-a94f-f306849b7c5d · outbound

This paper cites Simulated annealing,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Simulated annealing,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:36.086624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0864228a-da81-4ca1-abe0-2da743c254f8 · outbound

This paper cites Genetic algorithms,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Genetic algorithms,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:36.191772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c66744fa-79b9-4da2-94c2-a5f35207653b · outbound

This paper cites Particle swarm optimization,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Particle swarm optimization,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:36.288240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad1be703-d25a-4fae-8c26-e6a9e7a9bb0a · outbound

This paper cites Ant colony optimization,.

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds Ant colony optimization,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T05:07:36.359971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers