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Paper Citation Record · LEDGER

Transformative or Conservative? Conservation laws for ResNets and Transformers

As of 15 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2506.06194.

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

pith.paper-citation-record.v1
2506.06194 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:10:22.175627Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T01:43:45.287360Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:58:54.983648Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved14
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 077cc5bd-5cef-4888-b4f6-43e95cc4caae · outbound

This paper cites On the optimization of deep networks: Implicit acceleration by overparameterization.

Transformative or Conservative? Conservation laws for ResNets and Transformers On the optimization of deep networks: Implicit acceleration by overparameterization

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T06:10:18.734882Z digest=sha256:5b2bf5497c523aaef452b92765f4b61b8ed9aacadfb473b6827f01cf27ca8f98

Observation c0b195a8-d314-4894-96a6-1ece1f62265f · outbound

This paper cites A convergence analysis of gradient descent for deep linear neural networks.

Transformative or Conservative? Conservation laws for ResNets and Transformers A convergence analysis of gradient descent for deep linear neural networks

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:27.377945Z

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=2026-08-07T06:10:18.824306Z digest=sha256:1172ef56ce01b2f9bdbb14b7c744abda5134bf22ba9467535b30cd0f9a24155b

Observation 72cee3de-7baa-4906-85d8-3acf356460ce · outbound

This paper cites Learning theory from first principles.

Transformative or Conservative? Conservation laws for ResNets and Transformers Learning theory from first principles

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:27.144485Z

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=2026-08-07T06:10:18.920460Z digest=sha256:675a42471a7452c1e33a767f28fc8f096fbf067ea4217e64f81f82ebb33c391a

Observation 7e83b5ce-ead7-4d2f-b044-66f20b1f0677 · outbound

This paper cites Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers.

Transformative or Conservative? Conservation laws for ResNets and Transformers Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:26.935558Z

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=2026-08-07T06:10:19.032876Z digest=sha256:aebe821c27793c5140ca5888f84080f9deb8079d4cc9e7c2d0aa0ca93127d62d

Observation 1cd4809c-3aa6-4d64-b6ac-eb1647a16dbd · outbound

This paper cites Neural machine translation by jointly learning to align and translate.

Transformative or Conservative? Conservation laws for ResNets and Transformers Neural machine translation by jointly learning to align and translate

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:26.716234Z

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=2026-08-07T06:10:19.105026Z digest=sha256:79d9e408981a91212c653867cf3e97e05f0579836faff3dd1a80268ac2a77739

Observation 5aa9eb54-33ce-4f52-b393-ea89f9b40216 · outbound

This paper cites and Hennig, P.

Transformative or Conservative? Conservation laws for ResNets and Transformers and Hennig, P

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:26.456156Z

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=2026-08-07T06:10:19.204527Z digest=sha256:b5986aec91a8815871a782169c2823bb2e5c11be1d5e39aff3ad5fb709fac53a

Observation c29dcaf1-ab28-455b-9075-d8c50364065b · outbound

This paper cites and Bianchi, P.

Transformative or Conservative? Conservation laws for ResNets and Transformers and Bianchi, P

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T06:10:19.335031Z digest=sha256:29e0326bca6bf537220015150675c409713f58817da212cb96cdae5ffca60e5e

Observation c490d7ca-cc3f-4457-8a4b-e01be639d92b · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

Transformative or Conservative? Conservation laws for ResNets and Transformers D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 8

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:10:19.422003Z digest=sha256:36e9aa8591632b184280973ad85009dc2b6a50b06b663f00c5893be755ea9925

Observation 23096f6e-79a7-4746-8733-7aa1d0f68a3b · outbound

This paper cites T., Rubanova, Y., Bettencourt, J., and Duvenaud, D.

Transformative or Conservative? Conservation laws for ResNets and Transformers T., Rubanova, Y., Bettencourt, J., and Duvenaud, D

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T06:10:19.504439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:10:19.504439Z digest=sha256:e6efe8b25db743b6dc49d14a866860e5d5900d412283494186af5baeaeda5ee3

Observation 96cac55e-92b4-4f01-8c0b-6a2eb1f6aaa8 · outbound

This paper cites and Bach, F.

Transformative or Conservative? Conservation laws for ResNets and Transformers and Bach, F

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:25.905495Z

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=2026-08-07T06:10:19.622423Z digest=sha256:eb1282c47c814d0001bdc3c175329c3ce282e07cb000da406d9b7cf7a27aa07a

Observation 27738464-810f-42b6-b15f-9e7dd4af795f · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Transformative or Conservative? Conservation laws for ResNets and Transformers An image is worth 16x16 words: Transformers for image recognition at scale

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:25.632282Z

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=2026-08-07T06:10:19.707448Z digest=sha256:d0dcd4af47c13b070692323dacacef3e49ed6b129b87fb8160238bf9f03eee7a

Observation a6c32dea-5973-4c65-b649-d951590fd670 · outbound

This paper cites S., Hu, W., and Lee, J.

Transformative or Conservative? Conservation laws for ResNets and Transformers S., Hu, W., and Lee, J

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:25.347694Z

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=2026-08-07T06:10:19.778268Z digest=sha256:80276f9c26ba294325ddc610b288ced8c4bf2baeca960a766bfb3f83cc3015a4

Observation 72447bda-f0b9-4b19-9b60-85ab3ce312c0 · outbound

This paper cites Handbook of Convergence Theorems for (Stochastic) Gradient Methods.

Transformative or Conservative? Conservation laws for ResNets and Transformers Handbook of Convergence Theorems for (Stochastic) Gradient Methods

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T06:10:19.881347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:10:19.881347Z digest=sha256:6df5823d4f8e87b17153bf0cc41ed7080e6460d98057241d8a82a62fc4859c83

Observation f962fed7-6f28-45e5-914c-37ab9a23fedc · outbound

This paper cites Deep residual learning for image recognition.

Transformative or Conservative? Conservation laws for ResNets and Transformers Deep residual learning for image recognition

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T06:10:20.013796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:10:20.013796Z digest=sha256:6ac62149a0d08a63cd3301e4cac12c11867aa86567e58ebbe2bec5bd2814cd2c

Observation 873d21a6-50bc-4ccb-8637-740d88c32c99 · outbound

This paper cites Nonlinear system control.

Transformative or Conservative? Conservation laws for ResNets and Transformers Nonlinear system control

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:25.117485Z

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=2026-08-07T06:10:20.095142Z digest=sha256:e5c4252680132f5091043eebb86ef1ecb79d3fc53973143b94d2fdd57bc8cf4a

Observation 56a7c4fd-4a20-45f4-bc95-e3e260bab37a · outbound

This paper cites and Telgarsky, M.

Transformative or Conservative? Conservation laws for ResNets and Transformers and Telgarsky, M

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:24.855833Z

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=2026-08-07T06:10:20.167954Z digest=sha256:008c7b4349c50d598c176c240550657e1a60afa09f5924ebf5d4e9eac9889934

Observation 99c04182-13a8-4a70-9e65-bf7f3448e788 · outbound

This paper cites and Telgarsky, M.

Transformative or Conservative? Conservation laws for ResNets and Transformers and Telgarsky, M

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:24.576044Z

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=2026-08-07T06:10:20.262930Z digest=sha256:363e8c353e1cce60362c573bcf633f2e078b12ca65ec9111d74fb42c7c3962b4

Observation 5cccc2bb-3134-4dc3-9dee-f427208718a3 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Transformative or Conservative? Conservation laws for ResNets and Transformers Adam: A Method for Stochastic Optimization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T06:10:20.435796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:10:20.435796Z digest=sha256:edb3a59dad42d5b79f15c86b32ef1aa999c5c1e403c3135f47841e3c9f1d1f5a

Observation 0ad124e5-56c2-402b-81e1-3dcf005cad34 · outbound

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

Transformative or Conservative? Conservation laws for ResNets and Transformers Learning multiple layers of features from tiny images

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T06:10:20.545037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:10:20.545037Z digest=sha256:cb794c93a36157a1b8bb69319691cf4051c7509780213fac9ae267eb6f262e1e

Observation fcb2a6da-902e-4ae7-a7b7-51a063ff9594 · outbound

This paper cites L., Daly, R.

Transformative or Conservative? Conservation laws for ResNets and Transformers L., Daly, R

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:24.309954Z

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=2026-08-07T06:10:20.677512Z digest=sha256:0c5ae7c37002012d90cf2d97998801a79834cd77de657e0c9a2e66d316776e79

Observation 8e305631-e035-4ea1-a0b5-52637fa20c6d · outbound

This paper cites Abide by the law and follow the flow: Conservation laws for gradient flows.

Transformative or Conservative? Conservation laws for ResNets and Transformers Abide by the law and follow the flow: Conservation laws for gradient flows

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:24.113923Z

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=2026-08-07T06:10:20.794972Z digest=sha256:b8fddbc24d4819db33095172d1946d0f858944dd3236c0e69699f6123ed091bb

Observation a86fa713-855e-40e7-8ada-16f6a1252a9d · outbound

This paper cites Keep the momentum: Conservation laws beyond euclidean gradient flows.

Transformative or Conservative? Conservation laws for ResNets and Transformers Keep the momentum: Conservation laws beyond euclidean gradient flows

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:23.888104Z

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=2026-08-07T06:10:20.871438Z digest=sha256:297a47082d2f97c92a92f82f04f19cde036e63067e611a53bb7129d1d9807f8d

Observation 50d9fd05-1121-4711-8595-9a9a82e4a657 · outbound

This paper cites Implicit regularization of deep residual networks towards neural ODEs.

Transformative or Conservative? Conservation laws for ResNets and Transformers Implicit regularization of deep residual networks towards neural ODEs

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T06:10:20.983539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:10:20.983539Z digest=sha256:10e6043a34e72ad3274a0c233832fb5b6f00f7a412cbed4fa4c2371a59795495

Observation 89994fda-fd0c-4a61-a6c5-9c7f68e5f51f · outbound

This paper cites On the explicit role of initialization on the convergence and implicit bias of overparametrized linear networks.

Transformative or Conservative? Conservation laws for ResNets and Transformers On the explicit role of initialization on the convergence and implicit bias of overparametrized linear networks

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:23.714909Z

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=2026-08-07T06:10:21.092575Z digest=sha256:e4d425b20792b42917e3f84e026a60722fd31d372a3da853578a41032a0f578a

Observation 16dace50-94ea-47b1-ab56-d50be507a6f2 · outbound

This paper cites an unresolved cited work.

Transformative or Conservative? Conservation laws for ResNets and Transformers Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:10:23.557695Z

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=2026-08-07T06:10:21.173017Z digest=sha256:e4f4f385ad74ab1e4bce041117a1638aaca502c57a2e148feee8b52f62d91cec

Observation 8752c814-0727-4720-84d3-fd1dffe0e0d0 · outbound

This paper cites an unresolved cited work.

Transformative or Conservative? Conservation laws for ResNets and Transformers Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:10:23.357098Z

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=2026-08-07T06:10:21.255446Z digest=sha256:01aa3cf0085a16e17a17ae58b3dda98632a429c8bd8d8d8d21d605751c5e0bd7

Observation 78dcdb97-f1f0-41cc-a5e7-cf76c93640af · outbound

This paper cites Exact solutions to the nonlinear dynamics of learning in deep linear neural networks.

Transformative or Conservative? Conservation laws for ResNets and Transformers Exact solutions to the nonlinear dynamics of learning in deep linear neural networks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T06:10:21.358588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:10:21.358588Z digest=sha256:df9851d087f66b01ba015fb28b0325114bafec7c18a248560a5bca56afc1e360

Observation 06adced9-f4d6-4deb-8765-d3e4f8985410 · outbound

This paper cites S., Gunasekar, S., and Srebro, N.

Transformative or Conservative? Conservation laws for ResNets and Transformers S., Gunasekar, S., and Srebro, N

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:23.160494Z

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=2026-08-07T06:10:21.459463Z digest=sha256:e54486c79130236521cb7cbe52e391cb81c17cb7fa6804cecfb88f45e44c9c67

Observation 0f76fdb1-29b2-4626-88cb-e21338f22f81 · outbound

This paper cites Equi-normalization of neural networks.

Transformative or Conservative? Conservation laws for ResNets and Transformers Equi-normalization of neural networks

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:22.915203Z

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=2026-08-07T06:10:21.548700Z digest=sha256:c6df8df7bf486afbfcb905d98e293d3cefbd284d562bdcb7151fbc815b447ad9

Observation a7277663-0f17-4323-b4dc-d54315606661 · outbound

This paper cites D., and Vidal, R.

Transformative or Conservative? Conservation laws for ResNets and Transformers D., and Vidal, R

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:22.752473Z

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=2026-08-07T06:10:21.664900Z digest=sha256:f55ab3105f141e16fb2179e50b68843ab4efb6f2573299430a44beacdd9af702

Observation 7f0e6d96-43ce-4aae-ab0d-aa2a28b11b3c · outbound

This paper cites Implicit Bias and Fast Convergence Rates for Self-attention.

Transformative or Conservative? Conservation laws for ResNets and Transformers Implicit Bias and Fast Convergence Rates for Self-attention

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T06:10:21.767421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:10:21.767421Z digest=sha256:07457902c589606e03d58432be809ef2c88a73908da1543e9407c529d8210942

Observation 18d21a58-7d1a-4999-baba-d9d298161444 · outbound

This paper cites Attention is all you need.

Transformative or Conservative? Conservation laws for ResNets and Transformers Attention is all you need

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T06:10:21.873521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:10:21.873521Z digest=sha256:6bf02bab3fd65b9e985a624d4a6a9a050f1c1c81f15ed7e80be2be3e5f18a69e

Observation 5075481c-9eb5-4fbc-8838-e97f2989f7cb · outbound

This paper cites an unresolved cited work.

Transformative or Conservative? Conservation laws for ResNets and Transformers Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-07T06:10:22.549831Z

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=2026-08-07T06:10:21.958597Z digest=sha256:ec1a33d3316adc78a87534ec0a42ff84347cb4f4e0d06f60ce33f0350631ff65

Observation a9050b91-3c40-4920-bb2e-d38fcdec4574 · outbound

This paper cites Making convolutional networks shift-invariant again.

Transformative or Conservative? Conservation laws for ResNets and Transformers Making convolutional networks shift-invariant again

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T06:10:22.389244Z

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=2026-08-07T06:10:22.088242Z digest=sha256:7434a0ab898d1481e04fc5b31c95b5e22b45b3d5e7d8e4c4dfc01a4df39c7a59

Observation 2def2e36-ee98-4f2b-afb0-148cb9e89ee4 · outbound

This paper cites write newline.

Transformative or Conservative? Conservation laws for ResNets and Transformers write newline

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T06:10:22.175627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:10:22.175627Z digest=sha256:c8c4b395f095527d6a684501090fe655ae361c25a53c9b0b0ef0817e28eb81cd

Pith citing papers

Observation 28e13258-fb75-4285-8dfe-69745c591ec2 · inbound

Conservation Laws for Modern Neural Architectures cites this paper.

Conservation Laws for Modern Neural Architectures Transformative or Conservative? Conservation laws for ResNets and Transformers

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:58:54.985123Z

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=2026-06-27T01:43:45.287360Z digest=sha256:d6c3eaa73a053ec1b6b48a964d9455b5f7bd3f589bb21f041ef48fbda78dd15b