Pith. sign in

Paper Citation Record · LEDGER

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition

As of 15 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2411.09816.

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

pith.paper-citation-record.v1
2411.09816 v6

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:22:43.753540Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:07:18.824996Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:07:20.818411Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact6
  • verified fuzzy9
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 46abba2e-a388-4126-a101-33d6bbd11783 · outbound

This paper cites Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.581723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.581723Z digest=sha256:3707b01fe99ef894c9b0e072f8b4a79cf350dba9418f5c79dd965713e9df69a9

Observation 2985e36f-9222-4db7-a991-ca76a87cb4d8 · outbound

This paper cites Net2Net: Accelerating Learning via Knowledge Transfer.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Net2Net: Accelerating Learning via Knowledge Transfer

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.587757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.587757Z digest=sha256:a76e5b12df2becf1aed60f1ed3bfd0311cbc4b54a6f9cad98b7e9523998e89d1

Observation 68b1ee71-d573-4453-bc09-1ef64faec237 · outbound

This paper cites A Survey of Model Compression and Acceleration for Deep Neural Networks.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition A Survey of Model Compression and Acceleration for Deep Neural Networks

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.594335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.594335Z digest=sha256:88826d608f6b3ad4474e73710b5ab25edcf9c7b541c8e19c15ec0dda684ef69e

Observation b35ccde5-f87a-4dde-86ef-93e50f5c323d · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Imagenet: A large-scale hierarchical image database

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:22:44.389859Z

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=arxiv_source observed=2026-08-12T20:22:43.599597Z digest=sha256:17b6d95c9aa63120fce792d3e4a14333adff5dd0d71285169936a0e24ee0a9b3

Observation 90e56b36-1887-42c8-be0e-f5802f32ae68 · outbound

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

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.604545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.604545Z digest=sha256:8fcf37180037804848d83939b2d14b2ba9b76c927c13309abb4660e5281fbcf4

Observation aceb3a6c-7151-426a-a5a4-2333df4037cb · outbound

This paper cites Structured Multi-Hashing for Model Compression.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Structured Multi-Hashing for Model Compression

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-12T20:22:44.125773Z

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=arxiv_source observed=2026-08-12T20:22:43.609777Z digest=sha256:012b82c9053f9d3418f70c411a70c05c4b78dd7db348569169018eb813d0af56

Observation f159c5b0-9b91-4ac1-8cc2-e9810d49503f · outbound

This paper cites Rigging the Lottery: Making All Tickets Winners.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Rigging the Lottery: Making All Tickets Winners

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.615659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.615659Z digest=sha256:30682a1706fb9bb2500e365758107f5f7fa894485c14827ad14ae5b3a37d37ad

Observation 80e2e3f7-0271-4ae9-bba3-78587960d69b · outbound

This paper cites GradMax: Growing Neural Networks using Gradient Information.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition GradMax: Growing Neural Networks using Gradient Information

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.620521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.620521Z digest=sha256:9fe0fc0021b83204d8ff24692799624a0445ed885d14f8941d4701f64f22fc72

Observation 304b63d5-8303-4525-8a40-77c78770f44a · outbound

This paper cites Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.625597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.625597Z digest=sha256:4ba2926a6accb90d327775ccf3838ae9afd1a382eff86e17112c15509df71b08

Observation c268e351-d8fc-4a38-b105-54b4645adf36 · outbound

This paper cites Distilling the knowledge in a neural network.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Distilling the knowledge in a neural network

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:22:44.372417Z

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=arxiv_source observed=2026-08-12T20:22:43.630804Z digest=sha256:eb7622fa7d99dc34fbdd50ea091df294c67e996344ccbd69fb1b12b32cf98dc4

Observation 1711f637-1a21-424a-8050-0b95a30920b5 · outbound

This paper cites Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.635783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.635783Z digest=sha256:185803037a577cc309442b773f78cf566db1e05ef9c013ca1b2a77e9c8f7ca4d

Observation 24ea524c-db5d-43cb-b6fe-ceb5a49c9b51 · outbound

This paper cites Kolda and Brett W.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Kolda and Brett W

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:22:44.355889Z

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=arxiv_source observed=2026-08-12T20:22:43.640747Z digest=sha256:e821cfd38003c49c92536d5fd5ccc8f08db9d3706d75552a09b63568f3304832

Observation 14b3eee8-e4a9-422d-9271-e353dad14a6c · outbound

This paper cites Learning multiple layers of features from tiny images.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Learning multiple layers of features from tiny images

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:22:44.339486Z

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=arxiv_source observed=2026-08-12T20:22:43.645152Z digest=sha256:4cd177c92a9f2d537c2faf9a958f54e302dedadf3498ce5a839c8c692c5ab9dd

Observation 51f52843-8c2e-4dbe-b511-552794a52e3d · outbound

This paper cites How to Prune Your Language Model: Recovering Accuracy on the "Sparsity May Cry'' Benchmark.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition How to Prune Your Language Model: Recovering Accuracy on the "Sparsity May Cry'' Benchmark

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-12T20:22:44.033760Z

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=arxiv_source observed=2026-08-12T20:22:43.649754Z digest=sha256:a5a470b59353f43eaa7a4d36c42c7bc876688e22dd868e7ab27101b9819bae7b

Observation de662480-cb61-4903-bffa-aca07558fcf3 · outbound

This paper cites ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.654544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.654544Z digest=sha256:c6e2821d9415208a06fb295a974c8c3be4f5622d83aae90d2206a22a65686ed3

Observation 5a2fa996-9948-4676-a588-e5313b11e4c5 · outbound

This paper cites Sparsimony - Dynamic sparse training and pruning algorithms for PyTorch , September 2024.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Sparsimony - Dynamic sparse training and pruning algorithms for PyTorch , September 2024

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:22:44.321665Z

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=arxiv_source observed=2026-08-12T20:22:43.659338Z digest=sha256:5566cf28e307b8c21932c864595ee2646e0931f7e251b990a049c851f885015e

Observation c1ea1891-a5b5-4edf-a6e8-e199a2a1aa16 · outbound

This paper cites Understanding Parameter Sharing in Transformers.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Understanding Parameter Sharing in Transformers

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-12T20:22:43.988861Z

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=arxiv_source observed=2026-08-12T20:22:43.664101Z digest=sha256:9d4accd120cc87125e05c44f0ef7e1ea3bb72c83d068da5b09407b8f0d7529bc

Observation 34c55d3a-a5eb-418d-9a41-9beb0698d0d9 · outbound

This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.669217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.669217Z digest=sha256:b3eba2ece63cfa8ef5b82d51569f91226ce0d986bc315c35248c2f09af8d817e

Observation f6da22c0-ce54-4f5b-91e4-de9fe7f87927 · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.674605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.674605Z digest=sha256:1b430e57804278b481024a02a741879eeebcef204e74749ee8602b0cbf378a88

Observation c47bc98a-4294-424e-b03b-6fcec270f449 · outbound

This paper cites Decoupled Weight Decay Regularization.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Decoupled Weight Decay Regularization

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.679565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.679565Z digest=sha256:31c6d123c57c024fc2b3a373cd4645d5773c16c6d8dfe8612e010686cfd2d2f8

Observation 812f61f9-2dc6-48d7-b666-408f2a44803a · outbound

This paper cites Automated flower classification over a large number of classes.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Automated flower classification over a large number of classes

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:22:44.304112Z

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=arxiv_source observed=2026-08-12T20:22:43.684577Z digest=sha256:8fdb3e3610427a458d64299a5a0f6d42b110b16551c52912b644a1d3cc054db0

Observation c1efe49d-dcfa-4bb5-ba4f-99037eea87af · outbound

This paper cites T-Basis: a Compact Representation for Neural Networks.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition T-Basis: a Compact Representation for Neural Networks

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-12T20:22:43.913887Z

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=arxiv_source observed=2026-08-12T20:22:43.689252Z digest=sha256:4329545d334466ccda86723e98dce4bcb8359c2b7f0a01c5707dfa99359de2df

Observation 6db621c8-fb4d-4236-acce-d22837245a10 · outbound

This paper cites Parkhi, Andrea Vedaldi, Andrew Zisserman, and C.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Parkhi, Andrea Vedaldi, Andrew Zisserman, and C

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:22:44.288041Z

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=arxiv_source observed=2026-08-12T20:22:43.694254Z digest=sha256:c75d9fcb61ca0d6b93b8d23f468b2cb0c3a5bca26181143c57bfc664a12e1271

Observation 1f964222-0bc8-4cfb-9c90-75f773ae2d58 · outbound

This paper cites Sparse connection and pruning in large dynamic artificial neural networks.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Sparse connection and pruning in large dynamic artificial neural networks

Reference 24

Resolution
verified exact
doi, observed 2026-08-12T20:22:43.811008Z

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=arxiv_source observed=2026-08-12T20:22:43.698878Z digest=sha256:5fada6d667f8c3a704e1a71ec469f02c40e4f18449699c87e215147901e437f8

Observation 0514b807-86cc-46dc-86f9-33fae85a10c0 · outbound

This paper cites Lessons on Parameter Sharing across Layers in Transformers.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Lessons on Parameter Sharing across Layers in Transformers

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.703453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.703453Z digest=sha256:61dd37c7d636f44e19b8f31ddbffbe9d877e0ad0982f442f3a0cb9e6c945c675

Observation 34469cd8-71c0-46a0-b630-9aa024448a12 · outbound

This paper cites Evaluating pruning methods.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Evaluating pruning methods

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:22:44.271722Z

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=arxiv_source observed=2026-08-12T20:22:43.708207Z digest=sha256:d197b1e169880f68e2aec63620bc23e87ed484d508b7e00ca7af850f0a26df62

Observation f25f8c44-c7ce-4b9f-9c53-7e0faf883d84 · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Training data-efficient image transformers & distillation through attention

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.713022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.713022Z digest=sha256:916f356134c7a9788003fb739c5560461fe9e3cc6826fc4c909cc5cdcfdd673b

Observation 9c24d074-f376-41af-937b-5aed07532676 · outbound

This paper cites The inaturalist species classification and detection dataset.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition The inaturalist species classification and detection dataset

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:22:44.254909Z

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=arxiv_source observed=2026-08-12T20:22:43.717936Z digest=sha256:8570a32c10a824af00c3dbc5a7e0e33856146bc1df3609b13ebee63ef2166fc0

Observation 6b8804e1-98c4-4cdc-ba84-69cb17404e39 · outbound

This paper cites Compressingtransformers.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Compressingtransformers

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.722447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.722447Z digest=sha256:59c19b8879685c9e5df7e76bfc7643a19a307dcd127574eba4bc0672ce919d75

Observation 2cc2282b-f96c-40ec-91e3-e0d341cb143a · outbound

This paper cites MiniViT: Compressing Vision Transformers with Weight Multiplexing.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition MiniViT: Compressing Vision Transformers with Weight Multiplexing

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-12T20:22:43.852292Z

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=arxiv_source observed=2026-08-12T20:22:43.727371Z digest=sha256:a0af0e42191c937d9ea1bc6735cd2286e7a0f05f217f4e2bfad95bbc93c2e05a

Observation 2aa859b4-d1af-48b6-ba11-97036191c7ba · outbound

This paper cites To prune, or not to prune: exploring the efficacy of pruning for model compression.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition To prune, or not to prune: exploring the efficacy of pruning for model compression

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.732391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.732391Z digest=sha256:6d1bdb29ee9c34bc4dda22d4738b1c1f19e5348caf3efc932255d2122ce50ee8

Observation fe20b7c7-4c54-4449-be7e-363869e2474a · outbound

This paper cites write newline.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition write newline

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.737295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.737295Z digest=sha256:4ef9b4b106538829e19d1dd71623af14328f9ebb3b9c360903e8d2e67d35ae88

Observation 21d0a1d5-a6b6-418f-9106-6d448c17ec4d · outbound

This paper cites @esa (Ref.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition @esa (Ref

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.742874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.742874Z digest=sha256:2c795782efef6ebc4de962a45954ac36e0cd4bfa0d69bd6913b85256111b7c22

Observation c1b41873-cfae-44c2-a9f4-e74770a2614d · outbound

This paper cites an unresolved cited work.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.748122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.748122Z digest=sha256:033103b5acc0e43560f2601c95da41967904556ce03c5a2a1abdb52b15a711cc

Observation 263fec75-f46d-48f6-a7ac-19f0e6969c05 · outbound

This paper cites an unresolved cited work.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T20:22:43.753540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:22:43.753540Z digest=sha256:61af1e039e48c51579a96803622de7011e62741e1630eb1941d74beeffe0f0db

Pith citing papers

Observation bcad8d87-ab76-4c8e-96c7-711627e65d0e · inbound

On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization cites this paper.

On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition

Reference 85

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:07:20.894309Z

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=2026-08-06T18:07:18.824996Z digest=sha256:88710bce5a17b0146313a4f1e4bb63c2f1d7ad1f0ecb245d0519987132cf88ea