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Paper Citation Record · LEDGER

Principled Curriculum Learning using Parameter Continuation Methods

As of 15 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2507.22089.

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

pith.paper-citation-record.v1
2507.22089 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:41:27.778456Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

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

40 of 40 outbound references displayed

  • verified exact5
  • verified fuzzy18
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 298b77f8-5c5d-429c-b337-c58a2fb3b394 · outbound

This paper cites and Georg, K.

Principled Curriculum Learning using Parameter Continuation Methods and Georg, K

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9f1ea1c0-148d-4241-9530-85cc38e9fa5a · outbound

This paper cites Sur les courbes définies par des équations différentielles.

Principled Curriculum Learning using Parameter Continuation Methods Sur les courbes définies par des équations différentielles

Reference 2

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verified exact
doi, observed 2026-08-06T12:41:28.019942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:25.228944Z digest=sha256:43829e3709fe4d6a9f81fe245715b18486d166fd6eca8ae26f04affc8bb7b59f

Observation a6cac41c-a5ac-4745-ad85-38cb9be62bb6 · outbound

This paper cites Curriculum learning, 2009.

Principled Curriculum Learning using Parameter Continuation Methods Curriculum learning, 2009

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 36665df7-8826-4546-b3f5-91455e1b79f7 · outbound

This paper cites N., and Yano, T.

Principled Curriculum Learning using Parameter Continuation Methods N., and Yano, T

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a7b906dd-7d5a-4e3d-aa14-2a5c3293b461 · outbound

This paper cites H., Sherwood, W., LaMar, M., and Guckenheimer, J.

Principled Curriculum Learning using Parameter Continuation Methods H., Sherwood, W., LaMar, M., and Guckenheimer, J

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ea44e376-5d61-47c2-a4b9-db6e9b180e76 · outbound

This paper cites an unresolved cited work.

Principled Curriculum Learning using Parameter Continuation Methods Unresolved cited work

Reference 6

Resolution
metadata mismatch
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:25.416933Z digest=sha256:6fc7c626978ed35764b6b9202416b0ff1a2a303280764850494f8796db126b1b

Observation b3421ff2-bca5-4dc9-91b8-f0bd1698b8f3 · outbound

This paper cites J., Fairgrieve, T.

Principled Curriculum Learning using Parameter Continuation Methods J., Fairgrieve, T

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:25.450852Z digest=sha256:4e7a1aedbd60320955b9033ec89e753f4c6105d5489c10b4ee2d9d3ec161f4d9

Observation 969d3d99-b5e0-4f40-a700-61dfa4a71a21 · outbound

This paper cites Adaptive subgradient methods for online learning and stochastic optimization.

Principled Curriculum Learning using Parameter Continuation Methods Adaptive subgradient methods for online learning and stochastic optimization

Reference 8

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raw_fallback, observed 2026-08-06T12:41:28.586534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:25.507776Z digest=sha256:772d096c26230785616dc031339702ecba49ceefc852d5ffbd449b245c6e0f30

Observation ebdce6f7-541a-48da-9350-cfef79bff1ef · outbound

This paper cites Deep Learning.

Principled Curriculum Learning using Parameter Continuation Methods Deep Learning

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:25.555922Z digest=sha256:278051632fdda34e322243b06a10639a1ecc33fffca54be7f014aebac5b3532a

Observation 108f96a0-5680-4283-8324-5379580e07dc · outbound

This paper cites Noisy Activation Functions.

Principled Curriculum Learning using Parameter Continuation Methods Noisy Activation Functions

Reference 10

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verified exact
local_arxiv, observed 2026-08-06T12:41:28.507463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:25.591107Z digest=sha256:5c2548db3dfac736e90a43721c0e121a89bcc980f8c8cd6e911aadade9422075

Observation b535b627-0093-48b6-8c58-68a49fa9d481 · outbound

This paper cites On The Power of Curriculum Learning in Training Deep Networks.

Principled Curriculum Learning using Parameter Continuation Methods On The Power of Curriculum Learning in Training Deep Networks

Reference 11

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no resolver link, observed 2026-08-06T12:41:25.667180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:41:25.667180Z digest=sha256:99b7aff7b45cdf39f26fb80987c18d910a571a4a46bac739c9b05bb9973bcf6a

Observation 517f2b94-2ff5-4f4b-9cc0-eba7d3f0595c · outbound

This paper cites Deep residual learning for image recognition.

Principled Curriculum Learning using Parameter Continuation Methods Deep residual learning for image recognition

Reference 12

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no resolver link, observed 2026-08-06T12:41:25.750725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:41:25.750725Z digest=sha256:d2b03a7686f16ef229a977bd2e39de688d7e0de5d5ad30272b5564f1e12b18f6

Observation 9e618482-c8ac-4eb1-bd8d-799a24f2e3a2 · outbound

This paper cites Exploring neural network structure through sparse recurrent neural networks: A recasting and distillation of neural network hyperparameters.

Principled Curriculum Learning using Parameter Continuation Methods Exploring neural network structure through sparse recurrent neural networks: A recasting and distillation of neural network hyperparameters

Reference 13

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no resolver link, observed 2026-08-06T12:41:25.812276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:41:25.812276Z digest=sha256:11e6b91d4dd8d9dbd313885a74f7683b474afd043e80db03f9f6c17cbdad5642

Observation 24429093-d47e-454e-8008-2d0942d72c8b · outbound

This paper cites Rethinking the Relationship between Recurrent and Non-Recurrent Neural Networks: A Study in Sparsity.

Principled Curriculum Learning using Parameter Continuation Methods Rethinking the Relationship between Recurrent and Non-Recurrent Neural Networks: A Study in Sparsity

Reference 14

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verified exact
local_arxiv, observed 2026-08-06T12:41:28.393992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:25.881678Z digest=sha256:6b342bfddf2b123a76100bfec461c8013c3cd4f6b44470d5fce4b65cf2847b23

Observation cb80bcfa-58fa-4c93-979b-c66409448bc9 · outbound

This paper cites Rmsprop: Divide the gradient by a running average of its recent magnitude.

Principled Curriculum Learning using Parameter Continuation Methods Rmsprop: Divide the gradient by a running average of its recent magnitude

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T12:41:28.884954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:25.963962Z digest=sha256:6f4334c0809dbf67bd095fc56a0564badab9e80e6e253a86f71ff5bf66981e28

Observation 5e65fa0f-9ab8-4535-b175-6da5e5bd46ad · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Principled Curriculum Learning using Parameter Continuation Methods Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:41:26.012311Z digest=sha256:2dd3b6342298011103ebc32eeac2cbed54878a64f90ab7096d1806e898c01fe6

Observation e88e9735-11a0-47f4-897d-2797787fdf3d · outbound

This paper cites Chaos: An introduction to dynamical systems.

Principled Curriculum Learning using Parameter Continuation Methods Chaos: An introduction to dynamical systems

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:26.108621Z digest=sha256:099be93cb3799a1652f5280d83e1c59403923fe5b12e5cc9fb01aa0f9b45dffa

Observation fd3426d9-7e05-4ce0-b575-2147c8c96967 · outbound

This paper cites an unresolved cited work.

Principled Curriculum Learning using Parameter Continuation Methods Unresolved cited work

Reference 18

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:26.164140Z digest=sha256:7a3425915ba4d4d3c78bfde65b3eac33ff18ff8eb449647a6a8e273b4682a446

Observation 68dd55d6-2bf2-4d55-a458-f4c546f93c37 · outbound

This paper cites an unresolved cited work.

Principled Curriculum Learning using Parameter Continuation Methods Unresolved cited work

Reference 19

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b7bfe63f-5a14-447b-88a4-ea1d4bc1c25c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Principled Curriculum Learning using Parameter Continuation Methods Adam: A Method for Stochastic Optimization

Reference 20

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T12:41:26.243552Z digest=sha256:4e51ce2795aead8179e0d1053ea5e8808ca2193453a54a2ef0288bc1e40a2ed4

Observation b04794cf-0fdf-427d-b1fc-4b4e96cad1a4 · outbound

This paper cites Neue beitr \"a ge zur riemann'schen functionentheorie.

Principled Curriculum Learning using Parameter Continuation Methods Neue beitr \"a ge zur riemann'schen functionentheorie

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-06T12:41:28.847411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation bc62ce67-c797-4288-a842-6ae3c243fa3c · outbound

This paper cites Une m \'e thode de r \'e solution d'une cat \'e gorie d' \'e quations transcendantes.

Principled Curriculum Learning using Parameter Continuation Methods Une m \'e thode de r \'e solution d'une cat \'e gorie d' \'e quations transcendantes

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-06T12:41:28.834823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:26.469210Z digest=sha256:ddde2ccba62bbacd9c16beb84f78663669cc0bfadfab22ad2bef136354b73151

Observation 9a09c09a-321a-4eac-b697-5b3afeb8e0b9 · outbound

This paper cites Deep learning.

Principled Curriculum Learning using Parameter Continuation Methods Deep learning

Reference 23

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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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:26.549731Z digest=sha256:76dd81fdc85e8ec8a53c6c437beac3bcf0e793793f42daea4d439fcb586c0477

Observation 17084545-e691-4642-a4ba-3983934c78e8 · outbound

This paper cites and Schauder, J.

Principled Curriculum Learning using Parameter Continuation Methods and Schauder, J

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 76b5f9dc-1024-4070-924c-74579a99597e · outbound

This paper cites an unresolved cited work.

Principled Curriculum Learning using Parameter Continuation Methods Unresolved cited work

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:41:26.646986Z digest=sha256:39e3a8ee3974bb8aa170d545e04d9372997363988eb63b3072325cef0c19d1f3

Observation 41d67521-e12d-4c0f-829c-6c6ef33311ff · outbound

This paper cites Curriculum dropout.

Principled Curriculum Learning using Parameter Continuation Methods Curriculum dropout

Reference 26

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raw_fallback, observed 2026-08-06T12:41:28.795537Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7d65393e-b9d2-4a9d-8276-6c27ecd8f2fc · outbound

This paper cites and Clinton Paffenroth, R.

Principled Curriculum Learning using Parameter Continuation Methods and Clinton Paffenroth, R

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:26.781247Z digest=sha256:e112ecd32ccd0e55917bb750355846e31185ef3ddac34a0349dee27e99989876

Observation a9468b80-cd5e-45bc-983b-8612746ee156 · outbound

This paper cites and Paffenroth, R.

Principled Curriculum Learning using Parameter Continuation Methods and Paffenroth, R

Reference 28

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T12:41:26.860052Z digest=sha256:c7905345a5de7d30a54c2e4dc22e96c469231fe32a8f42c9e1e4a610d9f7a81c

Observation 416f0d0c-5325-44be-a07e-ee77327995ca · outbound

This paper cites an unresolved cited work.

Principled Curriculum Learning using Parameter Continuation Methods Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-06T12:41:28.769169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:26.888519Z digest=sha256:5e6182431a2bb993cbc55e263de5cfc4222dc32c499ce064d4c4e064ae8ad5d8

Observation 0ab81daf-6d3d-45fc-bf76-235a93b92810 · outbound

This paper cites an unresolved cited work.

Principled Curriculum Learning using Parameter Continuation Methods Unresolved cited work

Reference 30

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raw_fallback, observed 2026-08-06T12:41:28.754595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:26.947007Z digest=sha256:75862578afb28b0091a8d6c2881ca47142d4b4ad6bc160c1c8f786064245b7c3

Observation cda00d13-ad77-4496-b5c3-729cbfacc268 · outbound

This paper cites Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers.

Principled Curriculum Learning using Parameter Continuation Methods Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers

Reference 31

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local_arxiv, observed 2026-08-06T12:41:28.275867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:26.987500Z digest=sha256:7dd183a3081b7da5ccda8563598caffa5520113b5e8c28ba5f0d2e0564e7f196

Observation f7608775-b498-4930-b869-f948e500f509 · outbound

This paper cites N., Li, X., Minaee, S., and Cowan, B.

Principled Curriculum Learning using Parameter Continuation Methods N., Li, X., Minaee, S., and Cowan, B

Reference 32

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metadata mismatch
raw_fallback, observed 2026-08-06T12:41:28.196705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:27.117874Z digest=sha256:ce9101ecfa884109443fcd64ce299d753331faefaa2ec5f0bb010cf11466ed3c

Observation d9651783-2ce9-4fdc-8080-7e194783d19c · outbound

This paper cites N., Paffenroth, R., and Hershey, Q.

Principled Curriculum Learning using Parameter Continuation Methods N., Paffenroth, R., and Hershey, Q

Reference 33

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raw_fallback, observed 2026-08-06T12:41:28.739206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:27.221520Z digest=sha256:a8de6742f12fceaafc1d9b2ad06f890092260636f53637b424b605da382a3532

Observation e734c226-5598-4010-81c8-4816b192c710 · outbound

This paper cites Curriculum by smoothing.

Principled Curriculum Learning using Parameter Continuation Methods Curriculum by smoothing

Reference 34

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raw_fallback, observed 2026-08-06T12:41:28.726039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:27.292859Z digest=sha256:caae7aa9a4db8cc1a7069fcad6a8626e0b2ab151638206ce1fa9be24369c50ec

Observation 52b03d3e-75a2-4aaa-bb23-8c9cef7e6576 · outbound

This paper cites T., Rota, P., and Sebe, N.

Principled Curriculum Learning using Parameter Continuation Methods T., Rota, P., and Sebe, N

Reference 35

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raw_fallback, observed 2026-08-06T12:41:28.712975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:27.315911Z digest=sha256:67078a91fea9ffd6163d2246d7ce139f553b3eb695b4f108543fac3e79e20b08

Observation c9cde503-4755-427a-bac8-f728a27b983e · outbound

This paper cites T., Rota, P., and Sebe, N.

Principled Curriculum Learning using Parameter Continuation Methods T., Rota, P., and Sebe, N

Reference 36

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raw_fallback, observed 2026-08-06T12:41:28.700119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:27.413737Z digest=sha256:421cedd8860d0327c6479eb95284aadb20b022b4ad570d7b4cd78722a5a8537a

Observation 134b554a-aa08-4724-8b0b-a4b2f4b23ebc · outbound

This paper cites The T rilinos P roject W ebsite.

Principled Curriculum Learning using Parameter Continuation Methods The T rilinos P roject W ebsite

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:41:28.687200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T12:41:27.494150Z digest=sha256:fd0e9942e620f6f1a8a90d94cbd9f30c90af1c8c82ca9b09765adf42fd59de69

Observation 31ab2edc-273b-4984-8cbb-a5ad1b3aeed6 · outbound

This paper cites Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions.

Principled Curriculum Learning using Parameter Continuation Methods Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T12:41:27.554019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:41:27.554019Z digest=sha256:5aeedb353a6530aee0161d2e1439b8a905e1b2cd45a11978ad13952d20dca098

Observation afe5393a-a2f9-4c34-a6f2-81772e614621 · outbound

This paper cites Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks.

Principled Curriculum Learning using Parameter Continuation Methods Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T12:41:27.690931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:41:27.690931Z digest=sha256:ebd7e46c717336e7ded8b2c3185df9deb9b6c808af9e01a985ac33682122beaa

Observation fc48d2a1-83b9-424a-92bd-2680d0493880 · outbound

This paper cites write newline.

Principled Curriculum Learning using Parameter Continuation Methods write newline

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T12:41:27.778456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:41:27.778456Z digest=sha256:d8cb721c0cedeebd41ba5aed9683521b4234a5a40da291d7172342b40d09f83d

Pith citing papers

No inbound Pith citation observations are available.