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Paper Citation Record · LEDGER

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry

As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2505.05143.

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

pith.paper-citation-record.v1
2505.05143 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:17:28.484701Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T06:28:22.117741Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T06:29:42.113663Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact3
  • verified fuzzy16
  • unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6713b0d4-d3a9-40c3-af1d-ead7f2919b00 · outbound

This paper cites write newline.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry write newline

Reference 1

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source=arxiv_source observed=2026-08-15T23:17:28.336292Z digest=sha256:eb7ac1ba9ff757505185fe1687f2594ff9620043a7d622cb35a929f3b4dbf868

Observation 37a7821b-5476-4002-9a85-2cc9feccf54d · outbound

This paper cites K., Hayase, J., and Srinivasa, S.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry K., Hayase, J., and Srinivasa, S

Reference 2

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation be4993f9-ba21-4990-ba37-f93b1e43aa2c · outbound

This paper cites Network optimization: continuous and discrete models, volume 8.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Network optimization: continuous and discrete models, volume 8

Reference 3

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 004913b0-a25f-4188-84ad-464c0ba49c83 · outbound

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

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Imagenet: A large-scale hierarchical image database

Reference 4

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T23:17:28.352450Z digest=sha256:5dd5d4d107fb02d637d8280bda0cb73e2cb8e3923f58be09940984cf59289169

Observation 9fb0f2bd-684e-45f7-a996-cfba14a080cc · outbound

This paper cites The role of permutation invariance in linear mode connectivity of neural networks.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry The role of permutation invariance in linear mode connectivity of neural networks

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 261473f3-f7c5-4ceb-9f1b-ed7bc9f34750 · outbound

This paper cites A., Keskin, C., and Dauphin, Y.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry A., Keskin, C., and Dauphin, Y

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6b7221ef-c268-4d1b-bd1c-cff1a09d73e8 · outbound

This paper cites Deep Ensembles: A Loss Landscape Perspective.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Deep Ensembles: A Loss Landscape Perspective

Reference 7

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Observation 5afdfa9a-f705-44f9-9c4d-00195734f48a · outbound

This paper cites and Carbin, M.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry and Carbin, M

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation fb001877-4d2f-4344-9faf-5830ef858794 · outbound

This paper cites K., Roy, D.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry K., Roy, D

Reference 9

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5f9eed83-fd55-494d-96cc-045bc4885d23 · outbound

This paper cites The State of Sparsity in Deep Neural Networks.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry The State of Sparsity in Deep Neural Networks

Reference 10

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Observation 86a9cb88-078f-49dd-9ed7-bb9d5f992ce8 · outbound

This paper cites J., Bengio, Y., and Courville, A.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry J., Bengio, Y., and Courville, A

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ddcdff03-4144-4e8a-95e9-e150279884e0 · outbound

This paper cites an unresolved cited work.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Unresolved cited work

Reference 12

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 94f305b2-d24d-4556-ab24-5560b91c721a · outbound

This paper cites an unresolved cited work.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Unresolved cited work

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 686fb6ca-3928-4d20-9cb2-0b969e4a98b2 · outbound

This paper cites Deep residual learning for image recognition.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Deep residual learning for image recognition

Reference 14

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Unavailable: canonical work link unavailable.

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Observation 20bf9614-4c49-4909-acc7-f2e6cf86a047 · outbound

This paper cites On The Algebraic Structure of Feedforward Network Weight Spaces.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry On The Algebraic Structure of Feedforward Network Weight Spaces

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 04ac3c58-8f00-46c0-a45f-2ae12f16cb7e · outbound

This paper cites Characterising Bias in Compressed Models.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Characterising Bias in Compressed Models

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 982a206a-f8c7-470b-8e75-caf085f566bb · outbound

This paper cites and Szegedy, C.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry and Szegedy, C

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 18bfa7ae-ee1f-4ce9-a8cc-40a65c3cb185 · outbound

This paper cites Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods

Reference 18

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Observation add15c1a-ff0a-4b71-b801-c5ad1e5d054b · outbound

This paper cites REPAIR: renormalizing permuted activations for interpolation repair.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry REPAIR: renormalizing permuted activations for interpolation repair

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2a6c818e-310c-46c9-b0e1-a8c367836ce6 · outbound

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

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Learning multiple layers of features from tiny images

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 48305df5-dd05-43c1-beec-53f9b4ba9ce3 · outbound

This paper cites an unresolved cited work.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Unresolved cited work

Reference 21

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Unavailable: canonical work link unavailable.

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Observation 66c92dfd-be96-4e76-b10a-762e5e17def7 · outbound

This paper cites Convergent learning: Do different neural networks learn the same representations? In Storcheus, D., Rostamizadeh, A., and Kumar, S.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Convergent learning: Do different neural networks learn the same representations? In Storcheus, D., Rostamizadeh, A., and Kumar, S

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e1338c7b-09bc-497c-bf48-8623eedaca9d · outbound

This paper cites and Kolter, J.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry and Kolter, J

Reference 23

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation beb26f6a-b537-42ac-8555-90c3c026dc6e · outbound

This paper cites Streamlining Tensor and Network Pruning in PyTorch.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Streamlining Tensor and Network Pruning in PyTorch

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 830236ab-f801-441e-91c5-961b86ee230e · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Pytorch: An imperative style, high-performance deep learning library

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:17:28.453598Z digest=sha256:f278f7d5615f5c4059b15b4081f85d22b8d9bff12285d54de78d4ab983ca9440

Observation 3d8d6ee1-ebe5-4326-b976-5dccc338378a · outbound

This paper cites W., Frankle, J., Ganguli, S., and Dziugaite, G.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry W., Frankle, J., Ganguli, S., and Dziugaite, G

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2502c27b-5fa7-4c01-8405-71230069d87f · outbound

This paper cites Comparing rewinding and fine-tuning in neural network pruning.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Comparing rewinding and fine-tuning in neural network pruning

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 62cea839-919e-49f6-8e04-70f24e9b5aeb · outbound

This paper cites M., Rolnick, D., and Dziugaite, G.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry M., Rolnick, D., and Dziugaite, G

Reference 28

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raw_fallback, observed 2026-08-15T23:17:28.802775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e7c939f4-28c3-4626-b2c0-74ee9dcc95e8 · outbound

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Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry and Zisserman, A

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 107a24cb-db0f-4563-842a-7f52f4bbaf90 · outbound

This paper cites Geometry of the loss landscape in overparameterized neural networks: Symmetries and invariances.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Geometry of the loss landscape in overparameterized neural networks: Symmetries and invariances

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dd48fa97-8646-43d8-a228-bd7573296c9f · outbound

This paper cites an unresolved cited work.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Unresolved cited work

Reference 31

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ffac8a2f-90fb-4048-a38a-71d8250a2be9 · outbound

This paper cites J., Chen, P., Das, P., Melnyk, I., Sattigeri, P., and Lai, R.

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry J., Chen, P., Das, P., Melnyk, I., Sattigeri, P., and Lai, R

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:17:28.484701Z digest=sha256:00556c282533db8f1d45e154ec0675c913fb393ea24284bc6357637b6ca653c0

Pith citing papers

Observation ab5f6e9d-6907-4dad-bd60-6177e70f17c3 · inbound

HORST: Composing Optimizer Geometries for Sparse Transformer Training cites this paper.

HORST: Composing Optimizer Geometries for Sparse Transformer Training Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry

Reference 205

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arxiv_id, observed 2026-05-21T06:29:42.115199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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