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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 2026-08-15T06:32:42.880941+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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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 2026-08-15T06:32:42.880941+00:00.

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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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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

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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.

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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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T12:41:25.450852Z digest=sha256:8cc247d95ed7b83c2131bb4631b29f27865fb7692bed9d0e0adfce89fc62cd93

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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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=2026-08-06T12:41:25.507776Z digest=sha256:5871369cc30db8598ef781c02addf7db25f015bc8658136b1fe2206a35112372

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T12:41:25.555922Z digest=sha256:bcc712bd348e9c749c998631015e827de73f6605037e41f90248cd1c7c1b8c00

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 2026-08-15T06:32:42.880941+00:00.

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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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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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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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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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T12:41:25.881678Z digest=sha256:266478b8690e30783ba5dd35c8c3882843554413a240f8f46be13b8d35c900aa

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T12:41:25.963962Z digest=sha256:2c4a380f3e70b6301636f656a0532971219b889068e2c9d0b5ee8793a8ab6286

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.

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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 2026-08-15T06:32:42.880941+00:00.

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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 2026-08-15T06:32:42.880941+00:00.

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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
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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.

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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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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
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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.

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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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T12:41:26.469210Z digest=sha256:64fb4f0e20e97251580cb9610d4b26c1b67880f9ab11c32d41a72f834a566cae

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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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=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 2026-08-15T06:32:42.880941+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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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=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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T12:41:26.987500Z digest=sha256:7f7869218d2a64d6f2559aa74f6e4809d8ecbdf4f6cb3c48e9e788bc9e2ccf6f

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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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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T12:41:27.117874Z digest=sha256:3c1f62c1f6610cfcf564082e470f76f81563f85aba5a4916e56594225f0eb57c

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T12:41:27.221520Z digest=sha256:85561252e562e4af438e7c2d91764eb4f3a594e32a819af20884f3495f337d96

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T12:41:27.292859Z digest=sha256:e7bfa886309706a16f86ce9c808852b66df9129def9758cf50323443cd173ffb

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T12:41:27.315911Z digest=sha256:137dd1f9760a4ab709cc5a09b9020fb910ed837c0c2d16e809fd43cae031a890

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T12:41:27.413737Z digest=sha256:a7b93efaec2756054ccf5049540ff69859a1b472e8767a0cc4980e1c1b361a24

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-06T12:41:27.494150Z digest=sha256:e3df3e71d730996a4dbbb9c6c150b2723430012726d592f093e1fde8907afb3e

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.