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Paper Citation Record · LEDGER

Scalable Meta-Learning via Mixed-Mode Differentiation

As of 16 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2505.00793.

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

pith.paper-citation-record.v1
2505.00793 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:42:46.521336Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T01:44:04.922621Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T01:46:13.900102Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact1
  • verified fuzzy18
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 32a2c673-c91a-42ba-b941-5bcd33f123f6 · outbound

This paper cites write newline.

Scalable Meta-Learning via Mixed-Mode Differentiation write newline

Reference 1

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no resolver link, observed 2026-08-16T04:42:46.039200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:42:46.039200Z digest=sha256:3d414ae82c180cbaee7faadf0044ecb36e25f64c766f3f2c305ac2c2c84f20ce

Observation 1b0af867-4c46-4d59-8094-7b8fa235dea2 · outbound

This paper cites learn2learn: A Library for Meta-Learning Research.

Scalable Meta-Learning via Mixed-Mode Differentiation learn2learn: A Library for Meta-Learning Research

Reference 2

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no resolver link, observed 2026-08-16T04:42:46.052178Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:42:46.052178Z digest=sha256:68ea7b7d5b732b2fa78f9bf2e792acf3e6ff00c1a86adc61c520d454514be6b4

Observation 0c457a44-be13-44d9-bb2e-c30c5f85f63c · outbound

This paper cites and Strassen, V.

Scalable Meta-Learning via Mixed-Mode Differentiation and Strassen, V

Reference 3

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no resolver link, observed 2026-08-16T04:42:46.059596Z

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source=arxiv_source observed=2026-08-16T04:42:46.059596Z digest=sha256:1c0664d3910df7cd18573066c78ed204e0c264821a72c8541247d65f00e731b7

Observation c86f817b-20ec-40a4-afba-34207a6f8f2e · outbound

This paper cites T., Duvenaud, D., and Jacobsen, J.-H.

Scalable Meta-Learning via Mixed-Mode Differentiation T., Duvenaud, D., and Jacobsen, J.-H

Reference 4

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Source-reported events for the cited work

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Observation 9a1dc263-0c9c-4810-a649-5480a7221048 · outbound

This paper cites Gradient-based optimization of hyperparameters.

Scalable Meta-Learning via Mixed-Mode Differentiation Gradient-based optimization of hyperparameters

Reference 5

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T04:42:46.077220Z digest=sha256:e65f365c9574f9646da82cbe1cda5cc6765c121218c78bec37b8beb1cf8a08cd

Observation eb644eeb-b30d-4845-a30b-0a853e20f6d5 · outbound

This paper cites The Elements of Differentiable Programming.

Scalable Meta-Learning via Mixed-Mode Differentiation The Elements of Differentiable Programming

Reference 6

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no resolver link, observed 2026-08-16T04:42:46.086085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:42:46.086085Z digest=sha256:0fb91e1865492ccbd0c8162a70551478c15794cc0f32f188ea3a57f1cdab4af5

Observation 99f3b6ef-7281-4c4f-acdf-9c3b08e0c058 · outbound

This paper cites Efficient and modular implicit differentiation.

Scalable Meta-Learning via Mixed-Mode Differentiation Efficient and modular implicit differentiation

Reference 7

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T04:42:46.094907Z digest=sha256:ed81b62201b33121ba1577d248dbed22ced6825152c0cf1df67a616d8bec86fa

Observation a04cc25f-2945-4da4-95ac-049f6a98ef11 · outbound

This paper cites J., Leary, C., Maclaurin, D., Necula, G., Paszke, A., Vander P las, J., Wanderman- M ilne, S., and Zhang, Q.

Scalable Meta-Learning via Mixed-Mode Differentiation J., Leary, C., Maclaurin, D., Necula, G., Paszke, A., Vander P las, J., Wanderman- M ilne, S., and Zhang, Q

Reference 8

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no resolver link, observed 2026-08-16T04:42:46.104249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:42:46.104249Z digest=sha256:2abf0871a361b69c29a896c57e034b9553c269df7dc35616b8f75113bb0ae6b5

Observation a5a6d614-2ceb-4b3f-85c8-e29282d16ef9 · outbound

This paper cites A., Farquhar, G., Kemaev, I., Zintgraf, L.

Scalable Meta-Learning via Mixed-Mode Differentiation A., Farquhar, G., Kemaev, I., Zintgraf, L

Reference 9

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no resolver link, observed 2026-08-16T04:42:46.110967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:42:46.110967Z digest=sha256:9c0a55848e8e534fc8410bd9f37403bb374567b778dfb7df5c5d1ab08b96a6c4

Observation 9d24c88e-ca1f-4d01-aaf3-328d331c2f71 · outbound

This paper cites V., Ahn, H., Neiswanger, W., Xie, P., Strubell, E., and Xing, E.

Scalable Meta-Learning via Mixed-Mode Differentiation V., Ahn, H., Neiswanger, W., Xie, P., Strubell, E., and Xing, E

Reference 10

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T04:42:46.117468Z digest=sha256:984e384e202968eab0e3d6eb500d914dbfacc7051b65381f0b0d053b85c35425

Observation c9b70329-e3b7-416c-90be-2919b3f3ecde · outbound

This paper cites How to compute hessian-vector products? In ICLR Blogposts 2024, 2024.

Scalable Meta-Learning via Mixed-Mode Differentiation How to compute hessian-vector products? In ICLR Blogposts 2024, 2024

Reference 11

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T04:42:46.123588Z digest=sha256:281b1df9f713e008191f5f86cfdda104a1d00a6c739a3966c08bbbb33f9b8312

Observation 33c498e0-a619-425b-8918-2af5e2bc3a89 · outbound

This paper cites The D eep M ind JAX E cosystem, 2020.

Scalable Meta-Learning via Mixed-Mode Differentiation The D eep M ind JAX E cosystem, 2020

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:42:48.321299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T04:42:46.130503Z digest=sha256:b62bcd6eef9902bf455b95ed2fe812d6dbd519a9b42f4568ad474dfc315e7575

Observation 750f8ded-fa03-4428-8807-73bb182f249d · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.

Scalable Meta-Learning via Mixed-Mode Differentiation Model-agnostic meta-learning for fast adaptation of deep networks

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:42:48.291276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T04:42:46.135880Z digest=sha256:b6d70568a09dace5c4397f2c0931a9864ba3f1536c2fd024d27b4e206f26b3b8

Observation 18e030a2-982e-4052-adcd-c53edeeba71c · outbound

This paper cites Forward and reverse gradient-based hyperparameter optimization.

Scalable Meta-Learning via Mixed-Mode Differentiation Forward and reverse gradient-based hyperparameter optimization

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-16T04:42:48.264751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d0378642-acbf-4b8d-9533-be99a642943f · outbound

This paper cites Bilevel programming for hyperparameter optimization and meta-learning.

Scalable Meta-Learning via Mixed-Mode Differentiation Bilevel programming for hyperparameter optimization and meta-learning

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:42:46.148398Z digest=sha256:30d100d02f59c8aad13e320805a3d67eb3e23b375a32547ca028a16a6b319b2d

Observation f3118e49-7cbf-4156-a2ac-e66792cdfef7 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Scalable Meta-Learning via Mixed-Mode Differentiation Gemini: A Family of Highly Capable Multimodal Models

Reference 16

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no resolver link, observed 2026-08-16T04:42:46.154744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:42:46.154744Z digest=sha256:3563280ace5fcbe7288e2484b47b4770f5564219e1a2fdfdde97147c801825b9

Observation 1c97ff8b-4c95-4071-895c-3af88c6975a5 · outbound

This paper cites Achieving logarithmic growth of temporal and spatial complexity in reverse automatic differentiation.

Scalable Meta-Learning via Mixed-Mode Differentiation Achieving logarithmic growth of temporal and spatial complexity in reverse automatic differentiation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:42:48.209141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T04:42:46.160936Z digest=sha256:e0c13801457c04995ad9eb387f7fe1a163a6210e4bbdc7ebe337547f2a4070eb

Observation bbcb2893-a2ce-4675-9de3-b03da7731c8e · outbound

This paper cites and Walther, A.

Scalable Meta-Learning via Mixed-Mode Differentiation and Walther, A

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:42:48.165912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T04:42:46.175422Z digest=sha256:4b13cedbd95a1750045caf9f68e0594b0985842b69a67f04a4afc70a12398682

Observation 4153e7de-16d0-4421-bab0-5d0d044314e0 · outbound

This paper cites Deep residual learning for image recognition.

Scalable Meta-Learning via Mixed-Mode Differentiation Deep residual learning for image recognition

Reference 19

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no resolver link, observed 2026-08-16T04:42:46.186814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:42:46.186814Z digest=sha256:22e12aed372438e536f95d59c06287092bae6e0edc86f623fb0d627723fe1deb

Observation ed01eb73-eef7-48c8-b0b4-539e2231b3c9 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Scalable Meta-Learning via Mixed-Mode Differentiation Training Compute-Optimal Large Language Models

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d5cd417f-ec9b-4c0e-98e6-2cfac7bab40c · outbound

This paper cites Meta-learning online adaptation of language models.

Scalable Meta-Learning via Mixed-Mode Differentiation Meta-learning online adaptation of language models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:42:48.108188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T04:42:46.209276Z digest=sha256:e7df44bedec377c4f790f81124cf20cb6a9a30ff2035bb83fda9c287c060a75f

Observation 637d98af-f40c-4fdc-812f-f263d0ddbc0a · outbound

This paper cites Meta-Learning Online Adaptation of Language Models.

Scalable Meta-Learning via Mixed-Mode Differentiation Meta-Learning Online Adaptation of Language Models

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-16T04:42:47.125984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bd8778ad-741d-43b9-a015-2c22a2a6e798 · outbound

This paper cites Scaling Laws for Neural Language Models.

Scalable Meta-Learning via Mixed-Mode Differentiation Scaling Laws for Neural Language Models

Reference 24

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source=arxiv_source observed=2026-08-16T04:42:46.233274Z digest=sha256:e3d8b6a0a8344927d2370d898b2cf95f596e067ad9119b36af6c2899f47a5f86

Observation 8ec669e9-fd52-4421-b7d0-675530059fe9 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Scalable Meta-Learning via Mixed-Mode Differentiation Adam: A Method for Stochastic Optimization

Reference 25

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:42:46.242647Z digest=sha256:58c9207c58ea7cc903db9391ebbbacf2640f44590cefb489968927942defe4f5

Observation faec434d-0009-42e7-92b8-a7155937a654 · outbound

This paper cites Reformer: The Efficient Transformer.

Scalable Meta-Learning via Mixed-Mode Differentiation Reformer: The Efficient Transformer

Reference 26

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:42:46.258570Z digest=sha256:8af79f866798752e308c119470a0eea9fefc7fb9a9e557de24fe7142a523aaa3

Observation 5e20f077-0489-4749-8d11-d7f33f901415 · outbound

This paper cites DARTS: Differentiable Architecture Search.

Scalable Meta-Learning via Mixed-Mode Differentiation DARTS: Differentiable Architecture Search

Reference 27

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no resolver link, observed 2026-08-16T04:42:46.270296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:42:46.270296Z digest=sha256:a27b28df2120bd67bc8f47c1ab83c678aba3e5e51a49ea0bc78c35217f2f1555

Observation b26e9967-23de-4727-91d5-068979dd9116 · outbound

This paper cites Investigating bi-level optimization for learning and vision from a unified perspective: A survey and beyond.

Scalable Meta-Learning via Mixed-Mode Differentiation Investigating bi-level optimization for learning and vision from a unified perspective: A survey and beyond

Reference 28

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unresolved
no resolver link, observed 2026-08-16T04:42:46.278838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:42:46.278838Z digest=sha256:13a93a71adf6813e2df820186adabcf1e08723cadbb77e50fd0a17a6fe126eb0

Observation 09b51aa0-acd2-4aa3-9ec3-972e131746d6 · outbound

This paper cites Optimizing millions of hyperparameters by implicit differentiation.

Scalable Meta-Learning via Mixed-Mode Differentiation Optimizing millions of hyperparameters by implicit differentiation

Reference 29

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unresolved
no resolver link, observed 2026-08-16T04:42:46.294786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:42:46.294786Z digest=sha256:219af4773adf7634d9f3237e1a4bba569753d28ef6ca1ae305cf0490e91d77f3

Observation 92b4d503-d681-4eb8-bccb-beea3a9d741f · outbound

This paper cites Gradient-based hyperparameter optimization through reversible learning.

Scalable Meta-Learning via Mixed-Mode Differentiation Gradient-based hyperparameter optimization through reversible learning

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:42:48.030246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T04:42:46.302706Z digest=sha256:e76f64d352196f7b80e727d34d7f370449582ab77c339a8d27d4dec665e1e8bf

Observation cf6e7e08-360e-4442-b3d4-c7c0bfdf7957 · outbound

This paper cites Reversible vision transformers.

Scalable Meta-Learning via Mixed-Mode Differentiation Reversible vision transformers

Reference 31

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unresolved
no resolver link, observed 2026-08-16T04:42:46.312569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:42:46.312569Z digest=sha256:d1db1d88e5196c46c27541b4799fa30dde7b25fac4b337b31f37837e344fa4a4

Observation ae9f2b35-d6d3-4863-8693-4dac9aca229e · outbound

This paper cites D., Harrison, J., Maheswaranathan, N., and Sohl-Dickstein, J.

Scalable Meta-Learning via Mixed-Mode Differentiation D., Harrison, J., Maheswaranathan, N., and Sohl-Dickstein, J

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:42:47.976777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5d8a4a98-8dfb-4acd-bedb-2d8098b08bfe · outbound

This paper cites M., Xu, Z., van Hasselt, H.

Scalable Meta-Learning via Mixed-Mode Differentiation M., Xu, Z., van Hasselt, H

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:42:47.946958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T04:42:46.332247Z digest=sha256:92db0c66b2646eaef8017d0ff92e3cbeaebba61e42fbe47e2aec94fb262e8a8d

Observation a1fd4e0d-9978-4370-807a-8b8c9465a3dc · outbound

This paper cites GPT-4 Technical Report.

Scalable Meta-Learning via Mixed-Mode Differentiation GPT-4 Technical Report

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:42:46.340154Z digest=sha256:347b405c1ae8a29743f5bf3349a28afc103b4f221f0ec593c2f6e895496f211d

Observation 39be6769-fef2-4f87-b4b4-2efae404b9af · outbound

This paper cites Automatic differentiation in pytorch.

Scalable Meta-Learning via Mixed-Mode Differentiation Automatic differentiation in pytorch

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:42:47.907066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T04:42:46.346118Z digest=sha256:bd91416bb8b9265c96d9f4cdaded89d82dbf89282f0a54a604cab53e5b83ef0b

Observation 824da597-2d6a-497a-b566-38fab2cd8168 · outbound

This paper cites an unresolved cited work.

Scalable Meta-Learning via Mixed-Mode Differentiation Unresolved cited work

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:42:46.353209Z digest=sha256:d32521f109c50bce06283a47ca4f54fc4060ec28f6c46a1d641aea61f3631897

Observation ff6275ec-546a-40c1-87f9-0107f1ce5b99 · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models.

Scalable Meta-Learning via Mixed-Mode Differentiation Zero: Memory optimizations toward training trillion parameter models

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:42:46.364493Z digest=sha256:6fddb935e8651a66193692946612feda8c89a4d899b6c092ae24dfb990a9fa6e

Observation cb9e58ad-db17-4a90-890c-658dee56dd76 · outbound

This paper cites M., and Levine, S.

Scalable Meta-Learning via Mixed-Mode Differentiation M., and Levine, S

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-16T04:42:47.849230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f2523fd8-ac35-4916-a59f-8d5d535c1d6d · outbound

This paper cites Truncated back-propagation for bilevel optimization.

Scalable Meta-Learning via Mixed-Mode Differentiation Truncated back-propagation for bilevel optimization

Reference 39

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Observation 22b6c6ef-7513-4898-972e-bf4a0ba752de · outbound

This paper cites Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization.

Scalable Meta-Learning via Mixed-Mode Differentiation Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization

Reference 40

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Observation 5feaf2da-89dd-4496-bc82-ca5c89a97f8c · outbound

This paper cites Learning by directional gradient descent.

Scalable Meta-Learning via Mixed-Mode Differentiation Learning by directional gradient descent

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:42:46.403883Z digest=sha256:ff2a0cb75d51fd9407ba97dfb3690774f6824e2fc481c4f616356c88f8035b49

Observation e337355d-b8a0-4d61-bfa5-16f4139db296 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

Scalable Meta-Learning via Mixed-Mode Differentiation Roformer: Enhanced transformer with rotary position embedding

Reference 42

Resolution
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Unavailable: canonical work link unavailable.

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Observation 157e5856-8317-4372-9628-e7976b80b7f2 · outbound

This paper cites an unresolved cited work.

Scalable Meta-Learning via Mixed-Mode Differentiation Unresolved cited work

Reference 43

Resolution
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 924bbdbd-0d5c-4f1a-a148-9277ebd2a3f1 · outbound

This paper cites Attention is all you need.

Scalable Meta-Learning via Mixed-Mode Differentiation Attention is all you need

Reference 44

Resolution
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Observation 79f8510d-6389-4b98-b76f-c2db53c1c665 · outbound

This paper cites an unresolved cited work.

Scalable Meta-Learning via Mixed-Mode Differentiation Unresolved cited work

Reference 45

Resolution
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raw_fallback, observed 2026-08-16T04:42:47.668776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4753ab15-5a44-4c82-8a6e-3e3ac5fc8015 · outbound

This paper cites W., Colmenarejo, S.

Scalable Meta-Learning via Mixed-Mode Differentiation W., Colmenarejo, S

Reference 46

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1b4787f1-d63e-44d2-9e20-b22e691bfffa · outbound

This paper cites P., and Silver, D.

Scalable Meta-Learning via Mixed-Mode Differentiation P., and Silver, D

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 55edf4d0-57db-4133-b79a-d882ecdf433e · outbound

This paper cites P., Silver, D., and Singh, S.

Scalable Meta-Learning via Mixed-Mode Differentiation P., Silver, D., and Singh, S

Reference 48

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f40672e3-fc36-4be6-9da0-c4f001cb9948 · outbound

This paper cites An introduction to bilevel optimization: Foundations and applications in signal processing and machine learning.

Scalable Meta-Learning via Mixed-Mode Differentiation An introduction to bilevel optimization: Foundations and applications in signal processing and machine learning

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 3f4feebd-adb4-4f1a-ad23-da235d518396 · inbound

NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training cites this paper.

NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training Scalable Meta-Learning via Mixed-Mode Differentiation

Reference 23

Resolution
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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