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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:18.734882Z digest=sha256:fd82c59bfa59923c1a1b656f42055d1ad105e15473508831c8aec3704e67acee

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:18.824306Z digest=sha256:7dcd45b5476b82b8e167a4a2fa4650bce61a14ff814d5d0e7b13381858d2db4d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:18.920460Z digest=sha256:598031b497a763e67ef99825c9a940f65db4bee65b463715576622d5034237c6

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:19.032876Z digest=sha256:9cd87bdc19b9c75a6a1e1dcf703ad26b2570f5b9273541be96c1b6e7538a5f51

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:19.105026Z digest=sha256:d2fd684108b7f5eca3d20005e7a5cd726a29ae56807f54c49e484dffb0010b41

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:19.204527Z digest=sha256:64461fc964382c4886dd6be7bd0249cda9ecc44cbf779abf211c7f3c55850a5a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:19.335031Z digest=sha256:821d18a38e1c9666bc668502e8de08c8972ce8dff16678a80f743d4b4bb66dbc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:19.622423Z digest=sha256:5f96e3f3917906f51b664c5249935004a5ee626f84716743fdc5af5078c749ab

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:19.707448Z digest=sha256:66a9320418af6de6404803d3d3b10e294f70dd452c35788dd0417a50b4b37208

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:19.778268Z digest=sha256:daeeac1b2470f59ec7d23e723ed6c9d542597bccd0b87eadf73004515ecba01a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:20.095142Z digest=sha256:247e1bc1525932547067d21ccf5fe3e470f830e14c01d66e486297879f80d035

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:20.167954Z digest=sha256:fa7a01b10967d01c7d52247848bb1c66c1bce3def6dfc574592a8deaa5f501ce

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:20.262930Z digest=sha256:d2b65e68a3408ce3aa45389c5737641bf753ea4d5a064a67fc58fa37856616a1

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
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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:20.677512Z digest=sha256:826c37a95d3ed1353859ecfcd40f63876d3f73d4dffb97e53aa6b87ad2808d28

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:20.794972Z digest=sha256:14f91aa601abdaeebbe8926be5e02f6de69a920b42d0323944eb9f094b7449bf

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:20.871438Z digest=sha256:5ffd470bd2091003014a528cc898e34abb8ef2b9a13fb6513f50939119723df0

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
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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:21.092575Z digest=sha256:14bc79404e401741a50bfcb858dc5ce67e0a64195651893bc8709e0c379edaf0

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:21.173017Z digest=sha256:0dd94d167c95541e4f843cb6f1fde3fe8ee73d8cde8478698e3a2c013ef705b3

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:21.255446Z digest=sha256:2d09b22cff89228f61414a0350829ed9c259a25f0077238571384bc48f652cff

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=sha256:8face57493ea61a8e2849573dc9503c8c24bc8e3214949e125453213fa904e02

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:21.459463Z digest=sha256:50a03067aeb8c3f56db6776baddf41a17479f71775e69da888c969670fc7074b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:21.548700Z digest=sha256:19c9a0af2139616872d130838a7f531f106a256129386d2693a881383a0f105e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:21.664900Z digest=sha256:5277d32e30551233fe84d8181d03c465fb9b6e59ebfb539b3ebe98c41a47a980

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:21.958597Z digest=sha256:5cd44564d4822dce1c397f8c34f590e986c2377e4a817f85a49ebb27aa64e899

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T06:10:22.088242Z digest=sha256:a2d50dacc89a472622f44155b090635948e75b15357e699e066084581f467e74

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T01:43:45.287360Z digest=sha256:4dcafd7f9fe51bab74cf0ea2b8c99c8fe282d79d4ed16bd99426f1f0ed229e53