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Paper Citation Record · LEDGER

Transformative or Conservative? Conservation laws for ResNets and Transformers

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:18.734882Z digest=sha256:94903ee0d57b459e7e8d57e393df026054c8cadb242bf922af80b454cfd00ed2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:18.824306Z digest=sha256:367249675653c3578f96a83723b35d645c205a6ab34e5d40311419b09e58ffc9

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:18.920460Z digest=sha256:2dda5ed1da38dbc241ae72b9f0855a52e21930ca538525b8c8522091d2ad8f44

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:19.032876Z digest=sha256:b0d9a710b04e34b53d4e7eacca33dfaffb0864027a9b944e2251ccd33ef98893

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:19.105026Z digest=sha256:84b9d145ed0d2d89fab5557bb096fbb49580bbf32275704bcd2a4dba6165d626

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:19.204527Z digest=sha256:fa30d1b05a8aaa8397bc77f1775162a87a7560d8c2f42524b5990efe5939da69

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
raw_fallback, observed 2026-08-07T06:10:26.187006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:19.335031Z digest=sha256:bc29dfc8a44579e9fc62af5cfec4f55a61063698e55eabd5dae9405b20d319f5

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
no resolver link, observed 2026-08-07T06:10:19.422003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:10:19.422003Z digest=sha256:f253f6b0fed94c2e0f3b713e7524734b9916e622ff875ddf6ee4d8573112408f

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=sha256:9502172317392bf699b31fb2cac48e812af1140a3522c2ddf8c2ba638c698b16

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:19.622423Z digest=sha256:fc1b88b791c3a22723543d0b8c765b9f14bb616d3616eb3e423cf928fcca5456

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:19.707448Z digest=sha256:cdefa4bf1fe282b6ea49b7f650c5f13fd8498d68436414212a3ed67a6ecc097e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:19.778268Z digest=sha256:deaf5d141753d7815c53397b5a265945ab3aa75e0208c5bd1af8e0bf2fdc68ca

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=sha256:6776247550c92a923ad4dcfa4e76f9b34996ebf9b685355ab21ea38a29ee76d2

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=sha256:471e26a8b48fce6625e05feb51c877fc459bc446d501e8d1676984144d281573

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:20.095142Z digest=sha256:fc21bf00e90c2d12a7051d3d443cbde593298837d840202c668e70cd9615a80f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:20.167954Z digest=sha256:03202c526acaa47740410ee8c2f949526a6724a6eb5975a67476f351322fbd97

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:20.262930Z digest=sha256:371ff73420ad49a0b77d697d95032fea3ecd73bd6a3ce2069ebe935f5c137427

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=sha256:33cc90d1e6178c88b041eff7cfb31c7212a31d50a50784e954f4a0e3e22af782

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:ad2621ca785d03198f857a5d344888d83687215d15bc07f9c605d28c6ef2e79d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:20.677512Z digest=sha256:60738fe5374059d2e0f6c355df280b6772fc542376fa7dd61bf3acd9014f0863

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:20.794972Z digest=sha256:ae3c17fee2bdda1d08f75f42f274f0f54d1d892bc5990a8f7f4bf66d60d47452

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:20.871438Z digest=sha256:dd433bd5e95f58465dbc0542cf7e5d1272f19d433d002a3e1088158073579cc9

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:b4e3e4a60986a0686b01ca6ebf93cbf1ce858e72b1bb4fa1a8f92c7d6210e0c2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:21.092575Z digest=sha256:b877e39210326f48d1d1247e8ade838069d2873bf96c1aef0ace2d5e7044beee

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:21.173017Z digest=sha256:87ad5597d10b3bf6f21166e5a68aa903d93d29191371f63ca28d3759aedf7e3b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:21.255446Z digest=sha256:5862bdc1fe55bc4d8119d259dc6f77fb66ace19d635cf1456bb06593645c496f

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=sha256:69d5263e8b69205b1223b51a1c465069539eb6a16532ad4aadf2941c976b6a91

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:21.459463Z digest=sha256:771433c98dc5ec5f993cfe6d81aeb9d576267466516e4f4d76de430582a4e6ff

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:21.548700Z digest=sha256:7953d2b01a01be6ceebf89dd35fd29b8e784d2f9b28850c835318d8fc1af9faa

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:21.664900Z digest=sha256:d71ff2a648f22557a2b8132dbee9d53efd8e01a65202738ec009441d28a4f392

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=sha256:4f6cf9a7f29b671639fefab59cd7c60132444a20616a5578bdd27821c8dc4488

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=sha256:4f3b6e0985ad0096108cc0b0dc3227e1f35d9ec12ff816b7ead5316450bdae81

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:21.958597Z digest=sha256:6694db41905992bd0e873da2d1539824c4e6f8a473281e76e138a6f88184bb70

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T06:10:22.088242Z digest=sha256:087a600744dec4d3037f1ec9fa962524fd1a0bd0b2e1e2a0cb652202281bc94e

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=sha256:481c1c14bdd9364a5e253b8302d5848e751888118e1ee490afbefc0115bc46c3

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T01:43:45.287360Z digest=sha256:da0f66f691fd613a9c0e8c92c0a48383f2d650844c4973860bb768ac4b50cf7e