Pith. sign in

Paper Citation Record · LEDGER

Principles of Lipschitz continuity in neural networks

As of 8 August 2026, this Paper Citation Record lists 100 of 233 outbound references and 0 inbound Pith citation observations for arXiv:2602.04078.

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

pith.paper-citation-record.v1
2602.04078 v2

Coverage vector

measured 100 of 233 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:54:27.290302Z

measured 100 of 100 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 233 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 00b46654-7255-42cc-be4c-65d45365d3d2 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:19.766771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:19.766771Z digest=sha256:b3e5957f7e6d0f4b44ca2646920e1c071616fe469f5ee5bd5d0894360399da5d

Observation cc7fef53-bc9d-45fd-9533-949d3f43d1b7 · outbound

This paper cites Absil, R.

Principles of Lipschitz continuity in neural networks Absil, R

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:19.775717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:19.775717Z digest=sha256:ae888b13972e7a8f8e0172277ebc15f31d8b4d499cc4e12d5048963fb9538bf5

Observation af6298ee-a7ee-43ae-83e2-c369009d69c1 · outbound

This paper cites Amerehi and P.

Principles of Lipschitz continuity in neural networks Amerehi and P

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:19.811394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:19.811394Z digest=sha256:5e1be49d385898eb632b5b3dd52dc62a206531e6a293f3d7befd51609f561223

Observation 1afd0661-7aa1-436e-a969-7983a156f9a8 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:19.869447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:19.869447Z digest=sha256:7f7dfe6d2ea533f03144916e9cbc5fbbb23fedf7c67d790b7a867417beda5155

Observation e233e84f-edc8-4408-a131-225213d14935 · outbound

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

Principles of Lipschitz continuity in neural networks Gemini: A Family of Highly Capable Multimodal Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:19.928855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:19.928855Z digest=sha256:06657ddaaabe83dfc398988291d0b4c6c3f0463bc2e108847827ceb73200786a

Observation d6111642-3eae-456a-be79-03381b10cbba · outbound

This paper cites Applebaum.

Principles of Lipschitz continuity in neural networks Applebaum

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:19.991034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:19.991034Z digest=sha256:117b331b8e21efccbd1c97263765dc08b22f9b72db2809000fef8c598a1c42de

Observation 7efc9920-9e6d-46ff-aa58-1a9ffac28392 · outbound

This paper cites Arjovsky, A.

Principles of Lipschitz continuity in neural networks Arjovsky, A

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:20.053565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:20.053565Z digest=sha256:b811ef96f650bb5b4e141eb113b84925c2956c4ca9673ee4d258a776489a1940

Observation fd430e16-b82c-48b1-b547-106447ad4b98 · outbound

This paper cites Arjovsky, S.

Principles of Lipschitz continuity in neural networks Arjovsky, S

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:20.089672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:20.089672Z digest=sha256:950605f4516b892a15c2f8b3894ed9ea7594946228cd1e103c093a18721de205

Observation be70db85-a423-48fc-a734-8b2ac36c8a86 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:20.154930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:20.154930Z digest=sha256:8d874bba26513870538ffd0e49b783a25af46edbb753509117dec150ac69f155

Observation 25633ba5-2527-4fb9-b79b-1c70b95358d7 · outbound

This paper cites Aumann and Y.

Principles of Lipschitz continuity in neural networks Aumann and Y

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:20.184239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:20.184239Z digest=sha256:bab85d38981421414db13e0a65a016f914059f0c45700860183aa65547e8dd2a

Observation 0243acf0-c422-4519-bb31-9a7f3d6b56b8 · outbound

This paper cites Layer Normalization.

Principles of Lipschitz continuity in neural networks Layer Normalization

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:20.245549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:20.245549Z digest=sha256:7a0473daba64446c5de720430cd5e840704039bc2bd761d63284ec3cf891bf35

Observation 8a438d7d-3dc7-4462-8581-b0a91492c229 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:20.338001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:20.338001Z digest=sha256:2df04c74879e04ac1c1c3a7a63e9fc0fec12bcd1a6f931b7736105f389e1ce04

Observation 4ab0fe6b-acfd-433e-b5d6-0bb03c2080c5 · outbound

This paper cites Bansal, X.

Principles of Lipschitz continuity in neural networks Bansal, X

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:20.434289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:20.434289Z digest=sha256:056f3436e3859875c6c97e12b95382b17f89c026fae14f29ad4c6500d1d2bf88

Observation 1a97623c-6172-4f8b-83db-46fb4ccd2bd3 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:20.500821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:20.500821Z digest=sha256:215f1ec9ffde7cbc79e65ea44518482c8fd94f9cbd7eaaef2ac66f6e96071d7d

Observation 609f95d6-475e-4439-bdcc-ee934ba25cc4 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:20.609901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:20.609901Z digest=sha256:93586d62e156f1e5db5adbb048173c197c4a16ec0af4003221c1424a102db7c5

Observation 3c6e4d19-c314-4bc7-9f89-ae8d5b5c0bba · outbound

This paper cites Behrmann, W.

Principles of Lipschitz continuity in neural networks Behrmann, W

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:20.734726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:20.734726Z digest=sha256:fbdfdd65e4e41ef02a6b0323bb6954144c64e7bf42864d8677b5f8fb0b1230b7

Observation e8c8fb04-d938-4928-9468-d0126df01dda · outbound

This paper cites Bereska and S.

Principles of Lipschitz continuity in neural networks Bereska and S

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:20.869086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:20.869086Z digest=sha256:4899190b6bf34f192cac03483a2c75b573887813d6f904c086489318e3eb1e98

Observation 28819671-a9a8-4dba-acbc-8af92ecc9b91 · outbound

This paper cites Binder, G.

Principles of Lipschitz continuity in neural networks Binder, G

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:21.013883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:21.013883Z digest=sha256:dfe364c547e7f0c2cf13a2c2924f19b12b1f893e4e544f95385dadb0cf8d3315

Observation 3e37fd7f-6fc4-44fb-a6ef-5f375bad717a · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:21.160670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:21.160670Z digest=sha256:b809e6673acc6ca77579b32822dc2df7c9ad3d2f72fe62a57613de27a32a0021

Observation 6892109e-f4de-458c-aceb-dfa118f3d7e9 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:21.312332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:21.312332Z digest=sha256:399cf636615a293cb300a49a29a068a9fb1501a0aa1c54116f45ad4c32515c12

Observation 247ce141-de5e-403b-bee8-0523c2bb2ddd · outbound

This paper cites Brown, B.

Principles of Lipschitz continuity in neural networks Brown, B

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:21.468953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:21.468953Z digest=sha256:6da79027069499fc9c7a1107f6179196f2d41795af2e3ec941b2a648f7f64c15

Observation 6fc7377f-7cdd-46b9-b0de-cd62ee4eb6e5 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:21.561031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:21.561031Z digest=sha256:e6dac90bb79b04574875332290ae67b6ce681f0f5c82b0014f745574d08526c1

Observation 81f3139c-2f44-4230-909a-9b008a58d8d3 · outbound

This paper cites Carlini and D.

Principles of Lipschitz continuity in neural networks Carlini and D

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:21.644503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:21.644503Z digest=sha256:f3fbd57cbf23f4c61e1089c6b5226c15cb028db9d8895e9b57f6c2d70199c852

Observation 907c5805-97e8-449f-b383-8cb9a84b475f · outbound

This paper cites Castin, P.

Principles of Lipschitz continuity in neural networks Castin, P

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:21.701111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:21.701111Z digest=sha256:00db57b60af38b85487164800b1787b425ab481b38f714e718205b2010bd5ad3

Observation ca36c3fe-960a-4504-8438-1680c456c0b5 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:21.790166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:21.790166Z digest=sha256:0a9fe6f2d79f3eb1c0430cab70a8e3ebe4bc472fc98ea67dc370d8a82e901e25

Observation 2e35e576-7de8-4866-9ece-197e4be234f5 · outbound

This paper cites Chaudhari, A.

Principles of Lipschitz continuity in neural networks Chaudhari, A

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:21.874731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:21.874731Z digest=sha256:66f2e7c29edc2745498562783bcf25881922777480a450a3fd1dc9c8f462f74b

Observation b117bad7-f01f-4270-993d-bdbffd5b3451 · outbound

This paper cites Chen and R.

Principles of Lipschitz continuity in neural networks Chen and R

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:21.995753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:21.995753Z digest=sha256:c7bf86dab7c12f761757746882c3955094b9319a498d258755d344903c86dd64

Observation 4fc7b6c9-11cd-4e4a-8783-ee7640fcc8d1 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:22.098824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:22.098824Z digest=sha256:3439e87e5102e0a3f67e6f1d7f57cb8363bb71cd45425d50e90e8437e6712c1a

Observation c66849f9-52d6-42ed-a2a3-c637f5059b03 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:22.165915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:22.165915Z digest=sha256:7fac3a1b7920c677638eac75218a784ac1fde3e6b8058460a7655abf4f0c4f55

Observation 8e1e62b2-c2d8-48db-8e52-e1c17a439e11 · outbound

This paper cites Norm-preserving Orthogonal Permutation Linear Unit Activation Functions (OPLU).

Principles of Lipschitz continuity in neural networks Norm-preserving Orthogonal Permutation Linear Unit Activation Functions (OPLU)

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:22.255883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:22.255883Z digest=sha256:6869e2447f1d5d2bf92a08016149a573a5bfd13efb0efa6b6db7ac53099ad334

Observation ee771a13-efb4-4b97-b1a1-6fa64f788bb0 · outbound

This paper cites Chowdhery, S.

Principles of Lipschitz continuity in neural networks Chowdhery, S

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:22.353539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:22.353539Z digest=sha256:e842f820d02cdc7a5bc53e733d72ec6c0a4f2cdf3d371f148d2777d6c586c256

Observation b376b75c-23a2-427f-a005-22ad9ff743a2 · outbound

This paper cites Cisse, P.

Principles of Lipschitz continuity in neural networks Cisse, P

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:22.422599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:22.422599Z digest=sha256:2376b7ac5d9ca186cad01f1402ad63f7d41de57b62f6a96e820a80c0f3efc83e

Observation 21f4bcc5-5de5-4251-97e9-9f1a22eb3b85 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:22.513110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:22.513110Z digest=sha256:a82c4fb3209478be62f7d6de867188ae2de967fcd8cd96aba14fe9eb05d44c5d

Observation 9f29eafe-e8e8-4235-9680-756cff2e1476 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:22.641035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:22.641035Z digest=sha256:f8a2a73ab03b0c0e2c2c0edc6e1952115fd0872a919634b40a59c711f7e324fa

Observation 44429f72-df0d-4807-9d44-efb9cb89480b · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Principles of Lipschitz continuity in neural networks Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:22.764831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:22.764831Z digest=sha256:17000af48b32f77e6e261ad2bdc22ff3f64e6fec4e2305fe9601f5bc591c99b7

Observation 935c5688-c4b5-4963-aab6-c16133a1fc76 · outbound

This paper cites Coates, A.

Principles of Lipschitz continuity in neural networks Coates, A

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:22.895716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:22.895716Z digest=sha256:3bb1aa2bf84c929af4c93a623accb910d71900cd21759d69e19424464d438688

Observation cd0d1ff8-a158-42c8-93e2-bcb148053c5f · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:22.982546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:22.982546Z digest=sha256:7dae256562c8626565504b756f06a3de76efa9ff3e24cb7bcef4a9fc2cfaac90

Observation 200a2044-aae3-42db-acf2-7eb7782129ce · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:23.076345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:23.076345Z digest=sha256:f7cf1db8e66382561c3f19818af9339ea46812a86a929c606b3f556ce5c5729d

Observation d2f59485-4885-4295-bddf-b705a37c7f20 · outbound

This paper cites Damian, E.

Principles of Lipschitz continuity in neural networks Damian, E

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:23.170121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:23.170121Z digest=sha256:1f48b33c18ebb7df7848c28d8997f8e657ba77f3f983cb32041bfb1af1aaf425

Observation 23cf6989-f50c-4e51-8905-3b2a996b6872 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Principles of Lipschitz continuity in neural networks DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:23.244658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:23.244658Z digest=sha256:04af19d04ecc2690f8d7703395c7f75fb5038c11e59431db7d7b38fd6959a128

Observation 59136537-c4a7-46d1-af58-5de7beb352f9 · outbound

This paper cites Devaguptapu, D.

Principles of Lipschitz continuity in neural networks Devaguptapu, D

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:23.379592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:23.379592Z digest=sha256:8c6ca20ebab68eb633fe02f996bd23080f2470bd64fa33fb844764fb02493599

Observation d0e6df12-b146-42a4-83fa-50f0705bb880 · outbound

This paper cites Devlin, M.-W.

Principles of Lipschitz continuity in neural networks Devlin, M.-W

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:23.505816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:23.505816Z digest=sha256:1af89f70d02c91f0e3f571ef4d32e392bad47dc6c17560d187a3cb488fae1926

Observation c9ac9208-61f6-4374-a5bb-091b83679f8f · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:23.623068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:23.623068Z digest=sha256:a202e93991847797df4e24cea37ba016387969014ffa1cb4921fdb0b23ab0ba4

Observation cfac7848-5910-4b67-917f-2a08540993f3 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Principles of Lipschitz continuity in neural networks An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:23.776868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:23.776868Z digest=sha256:cacda1bdc244553a7bad747af2ad539b05b5aca815ba9d5423b779e8b53e771b

Observation 9ede9cee-a105-48bb-ab1b-1ae78ea0c109 · outbound

This paper cites Dugas, Y.

Principles of Lipschitz continuity in neural networks Dugas, Y

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:23.935956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:23.935956Z digest=sha256:a125e5da520ff5995f9f3506f2fff2975a1ab116ebdd05c817aea4e2a54113e8

Observation 05b67c77-ecd4-4bff-921f-2b4661b7dcfd · outbound

This paper cites Dunford and J.

Principles of Lipschitz continuity in neural networks Dunford and J

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:24.047827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:24.047827Z digest=sha256:ccae6f89c5f6d739247342dcaf5f62a9c1963bad7ef7ada4299998ec0ec5706b

Observation 39362096-ab8f-43ce-9947-8581665cee4e · outbound

This paper cites Edelman and N.

Principles of Lipschitz continuity in neural networks Edelman and N

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:24.174478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:24.174478Z digest=sha256:0650444a314c25a958059ff3c03ae1fc9a45cf447c3b7ffe3b19a886eee8ad7e

Observation e00bc003-9fbe-475d-9e6b-cd2fce6e9dce · outbound

This paper cites Elsken, J.

Principles of Lipschitz continuity in neural networks Elsken, J

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:24.336831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:24.336831Z digest=sha256:423480705f9f60bddab89f43096cb0c1b7f919507a342ebaebd02332ecfc2063

Observation 828f1f63-7e02-4a9c-8e98-c10e161c1681 · outbound

This paper cites Ethics guidelines for trustworthy AI , 2019.

Principles of Lipschitz continuity in neural networks Ethics guidelines for trustworthy AI , 2019

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:24.446835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:24.446835Z digest=sha256:2041f509f89557a4fe7c8f3822eb8ef775ed69b8896c8afae9c36e3d39ef57d7

Observation 8620ef20-1841-4339-b30a-35f6d1c6aca6 · outbound

This paper cites Regulation (EU) 2024/1689 of the european parliament and of the council on harmonised rules on artificial intelligence ( AI Act ), 2024.

Principles of Lipschitz continuity in neural networks Regulation (EU) 2024/1689 of the european parliament and of the council on harmonised rules on artificial intelligence ( AI Act ), 2024

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:24.568471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:24.568471Z digest=sha256:a28446257794793cfd259f1321d879898280b763d505e66c21f85f3f449b5660

Observation d81fd3cb-6186-4f87-a379-b21a792abe00 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:24.686070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:24.686070Z digest=sha256:32455a55de5f2714bf0552b82d93557d7154b850e6cb499389bbf4c14ae319b0

Observation 313c67b1-0efb-44b4-b456-f5cc6d6eae0f · outbound

This paper cites Fazlyab, A.

Principles of Lipschitz continuity in neural networks Fazlyab, A

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:24.817946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:24.817946Z digest=sha256:0881b21987592b0e32264bb9b83d3581b7b0c507bedeac869847b5cb45563a18

Observation 8627af26-2d1e-43c7-a8e4-83ed08e05cc4 · outbound

This paper cites Fazlyab, T.

Principles of Lipschitz continuity in neural networks Fazlyab, T

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:24.920047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:24.920047Z digest=sha256:77c997bf428ac686a90bcb54e8fc8a6f371c4e9f4701179192f6d04c35563f98

Observation a4e16c14-9a08-4d80-9c26-35ffdc26f17b · outbound

This paper cites Flatow and D.

Principles of Lipschitz continuity in neural networks Flatow and D

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.045240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.045240Z digest=sha256:650140a59d78482bf9b94ec841ba6166115771d5cbeb02e8e630a62004101599

Observation 464908e3-2746-4331-a82f-3dcc0f6e8219 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.166720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.166720Z digest=sha256:4259f610d7a9efeabdb82bde209c00ad731b13e10e5b74f45be4980d8bf955e6

Observation e19d0d9d-e828-4c94-b9d3-30e74276a94c · outbound

This paper cites Frenay and M.

Principles of Lipschitz continuity in neural networks Frenay and M

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.225882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.225882Z digest=sha256:70fb56a6b47ae293f47fc85365682f19ceac0c0372a7221445307ba95e0ddbba

Observation 72068171-b60d-4721-bf38-74310e2c7f78 · outbound

This paper cites Gamba, H.

Principles of Lipschitz continuity in neural networks Gamba, H

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.296912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.296912Z digest=sha256:c3147e9ed14d7a88458691fdda68ecbe6a6ca511717f09dca134cd6393be74e3

Observation 4905a84e-3ec8-4288-ae7a-3a7cba519d32 · outbound

This paper cites Ghorbani, J.

Principles of Lipschitz continuity in neural networks Ghorbani, J

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.381802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.381802Z digest=sha256:ef23e1d81c00ff67dc57cec4bcb9b6cffddcef560053dc4f27b3b5c8ca182502

Observation 2b4f14c7-9943-44fc-a5f1-a23035e6db9d · outbound

This paper cites Ghosh, H.

Principles of Lipschitz continuity in neural networks Ghosh, H

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.428544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.428544Z digest=sha256:77d385255aa6f3275605fce5e9ca1c1dcf7f274661df12dccdc54af1ff5d7763

Observation 24468750-db3d-4f3c-8f97-2d7230474b69 · outbound

This paper cites Golowich, A.

Principles of Lipschitz continuity in neural networks Golowich, A

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.486856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.486856Z digest=sha256:836f1e8bafbade6dc48df64043dce0f4ab5abde8db8795d1e8711b4b92308584

Observation f317ef73-4815-4969-a36f-61b220b53b7a · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.513710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.513710Z digest=sha256:6a9ca966a2ddb9d0d0a8ce3b9732a23d84d832acb741fc9fa22d7a036280c416

Observation 27eff138-e701-4e31-8c7e-16d577f983ed · outbound

This paper cites Gonon, N.

Principles of Lipschitz continuity in neural networks Gonon, N

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.550497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.550497Z digest=sha256:7317346719146cfefc8ccb7039da440c9c9662ad42e7d9ba3a155f8322e86a8f

Observation 3357dbe5-8321-491b-b9c6-3d1a49561ef7 · outbound

This paper cites Goodfellow, J.

Principles of Lipschitz continuity in neural networks Goodfellow, J

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.587762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.587762Z digest=sha256:b0a4dfdf5aea1f3de324de36fab6d7b760ab93ad75a12a89920223224d3a2de5

Observation 525804a2-6613-4456-ab41-350e2606f760 · outbound

This paper cites Goodfellow, Y.

Principles of Lipschitz continuity in neural networks Goodfellow, Y

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.612801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.612801Z digest=sha256:7ebb717f2ebce9523af9e51933714010e85d2eb36263488b4de5f858cee882a8

Observation 3c846558-b87c-486f-b6d7-c87a773a7d26 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Principles of Lipschitz continuity in neural networks Explaining and Harnessing Adversarial Examples

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.644052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.644052Z digest=sha256:a265eec45a40a3386ccb6e524305c536acb85a3167cf2688d87e3b860884c71d

Observation 8b13ee0c-a05d-4a5f-b3d6-f0ee793a1342 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.700913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.700913Z digest=sha256:3eb9b5b465a9ce979a716b1c6e4cb3107f53f5dc9eef6c2be0a9b45ca5ac09a4

Observation 4ede1eb1-0816-49ae-bf29-e4d5ec5f85f5 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.733682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.733682Z digest=sha256:f9e48b70f8f215b7877c88ac6541b6d25b37f2e474011b21795a8df392415fc1

Observation 29fe549d-5fa4-4978-8860-8abefb22ad4d · outbound

This paper cites Grosse and J.

Principles of Lipschitz continuity in neural networks Grosse and J

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.796980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.796980Z digest=sha256:c0c336d568f1b9abfdc08f468bdc40a8740e34aedd560150d094d6bb359a1340

Observation a6508305-e41e-458e-870f-e8a8c15ec95b · outbound

This paper cites Gulrajani, F.

Principles of Lipschitz continuity in neural networks Gulrajani, F

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.838895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.838895Z digest=sha256:28660487fb8c71970f5f9bf3cc81466e9ff1483b45ca12d26c0401c932fe3631

Observation 0481d72a-95ad-4fdc-a056-b5bd75a3f0a3 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.885477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.885477Z digest=sha256:fb15089371e88314aae071a2eb4ab511a01466a15dba7b2d3e9a4cb1903fa4ca

Observation 5522ca1c-20bc-44ec-ab05-9b15a52d2a72 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.936781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.936781Z digest=sha256:c0b0581c38935aeb8ed52dca08ef8fd791ba5ac415b788dcf28bfaeeca7ab4df

Observation b91d9cf4-7c61-4187-a650-b89246659ed5 · outbound

This paper cites Hein and M.

Principles of Lipschitz continuity in neural networks Hein and M

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:25.987606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:25.987606Z digest=sha256:26af8814f7964c9caeca16e2bba9692e49d4139cf2beb96a299f3a0dd3c35730

Observation 2bff4f95-816d-4ebd-9d5e-fd776ac32549 · outbound

This paper cites Hendrycks and T.

Principles of Lipschitz continuity in neural networks Hendrycks and T

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.031121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.031121Z digest=sha256:142ccd859f376ee6c5a031cb584426fe089ecd26d17018a775c8f8adc09f3aa9

Observation a6def7e1-f423-4682-82de-cfd620c50fe5 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Principles of Lipschitz continuity in neural networks Gaussian Error Linear Units (GELUs)

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.082120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.082120Z digest=sha256:1b765b06bd63d90fe441f40f3f329454c1e91d0e22767d53ec3661dc0f8da23e

Observation 62065072-afa3-48e8-be9a-06d924769bd8 · outbound

This paper cites Hendrycks, M.

Principles of Lipschitz continuity in neural networks Hendrycks, M

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.124313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.124313Z digest=sha256:df02b9c841d4e0db0abba4f00306f44bfa285fb8c9fd8317bbbcfc9b179778a7

Observation 9c29137e-ef49-449b-8faa-e4794c87b135 · outbound

This paper cites Hendrycks, M.

Principles of Lipschitz continuity in neural networks Hendrycks, M

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.180239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.180239Z digest=sha256:3112a4ab6fdd5d876bd3de94484a4b57e06c3bbfe3cfb84857b78b0f3324533b

Observation 89a9362a-dfdb-49f1-8db4-9977a354570a · outbound

This paper cites Hendrycks, S.

Principles of Lipschitz continuity in neural networks Hendrycks, S

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.229510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.229510Z digest=sha256:730c1c9203647a1a23329752d8784a3d2e59fc0f9de0257bbf527b4f7afd67e8

Observation c6b21e30-8f4c-47ad-86f8-42b48ecbdb61 · outbound

This paper cites Hinton, N.

Principles of Lipschitz continuity in neural networks Hinton, N

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.264574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.264574Z digest=sha256:2c5eb02ea3a0ddfcdbbf5de76a31254422b14509eeedd00d9e3f979af5b8f67a

Observation 9764b9f5-76d5-4634-b23a-eb90b704c135 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.316778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.316778Z digest=sha256:70e018b7d945f9e4a24ad30cd763ea45c8ea5dccac6b8f8f5ab50a412310e626

Observation ca9d2819-6f7c-429f-8131-5671167d6273 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.364084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.364084Z digest=sha256:bf2924c4c6a37da7693a597294cca268a12206b3870b712f4fbd59d8889f100c

Observation 698f2393-d1b8-43ad-bce6-a36a13066898 · outbound

This paper cites Hochreiter and J.

Principles of Lipschitz continuity in neural networks Hochreiter and J

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.441604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.441604Z digest=sha256:3639d9037209bd6c2d19f4ca801fbc4cf704c681b820998a3bb1d818afd826f7

Observation 261d72bf-96dd-4259-81aa-f6fa672c2da7 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.498128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.498128Z digest=sha256:df98e2dbc69eb3e1317ea7711e3f77c74f883aafaab0512864472f7d70dfcb7e

Observation 525390d1-2ca5-4531-a5e4-79a5758aad1e · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.543742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.543742Z digest=sha256:57ca4b8a9faf1d01923dce2ad3ede8135d3e91a24393e8297622117bc8a7e02f

Observation e11046c0-5af0-4817-9c6a-5723b0b7f6f4 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.588826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.588826Z digest=sha256:440acacdebd423e2249451917936748dc6f890933169936bbdf8d17e92e9b37f

Observation 6484cdae-debc-4d6f-a0b3-48bb1d99b39d · outbound

This paper cites Huang, X.

Principles of Lipschitz continuity in neural networks Huang, X

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.613118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.613118Z digest=sha256:1852d7e7f0747b11b69a4a6ea2163cdf5ea2c851edcdae619a28fab8d87487ee

Observation 94420029-91be-44bd-8501-03797c014a19 · outbound

This paper cites Ilyas, S.

Principles of Lipschitz continuity in neural networks Ilyas, S

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.670018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.670018Z digest=sha256:b28353bfadae67647047738e0258f831aa0274513b708b88781c86cd9c843df2

Observation 3f744ebb-8ef4-4996-aca7-124a2b66b2ad · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.695738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.695738Z digest=sha256:825b97edb5f0c8e8af9d1c62a0e0cc050679105cdbccb06e82223139efc0991b

Observation 8eaca498-8d91-4318-8220-b92c981aa296 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.741343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.741343Z digest=sha256:67ec55e731df7cb9c345d37fa3885f8be7db1b6d31dc6b5d4d3b22bfff545030

Observation 24b6d7a0-f7cc-4405-99ab-339d75ffbffc · outbound

This paper cites Jastrzębski, Z.

Principles of Lipschitz continuity in neural networks Jastrzębski, Z

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.771441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.771441Z digest=sha256:ca68268fee5eb2308f1f56740409bafecf0f7de415e8bbcdab179a6e701985e7

Observation d7fd1338-7bb8-4546-96a3-1e8ae7bd7c7e · outbound

This paper cites Revisiting Ensembles in an Adversarial Context: Improving Natural Accuracy.

Principles of Lipschitz continuity in neural networks Revisiting Ensembles in an Adversarial Context: Improving Natural Accuracy

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.848485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.848485Z digest=sha256:7dd6906f26e0355ae11345dfd568be623e33ac46efa00b59363ced7e1332d423

Observation 831831d7-d6ff-4f2d-a9bd-29676e99fb82 · outbound

This paper cites Karatzas and S.

Principles of Lipschitz continuity in neural networks Karatzas and S

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.902696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.902696Z digest=sha256:59fad717e7b7d2d921024a30176f2cbdafe5e09da407c409b519dda470225bc8

Observation ef139bf2-e85a-4e1b-a395-469f41d306d3 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.924926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.924926Z digest=sha256:22a07f50428abc60d9fcc204c95bb7240bbbbb8b8a4035ff2b1482c552c4e0f6

Observation 2a23580b-2c20-4587-afff-f337a72933b2 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:26.975917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:26.975917Z digest=sha256:f793ab016529016679740e2b04873defb4bfac8abed099cf405946c09346affa

Observation 91451c2b-527d-4fdc-871b-d50dfed10943 · outbound

This paper cites Khromov and S.

Principles of Lipschitz continuity in neural networks Khromov and S

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:27.006842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:27.006842Z digest=sha256:c670ed3a0dcd5666022defe1ca75b9db9a8f15af864f59be01935c9027bea35b

Observation 0d74ffff-408c-43ec-a922-c8439c07e0e6 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:27.058406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:27.058406Z digest=sha256:753269aa9fd8398baf6191142b6417f0a92bf1ed2d6b69531f81a0d855d13eaa

Observation 82d7df16-82f4-49b4-8875-c6f24ee9aab0 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:27.135053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:27.135053Z digest=sha256:877ceed85099374a9141ad63c80cab004b322d6251e1ada38bc60959f4aa71df

Observation a01b0018-d214-4d78-8bf8-931e989b48b2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Principles of Lipschitz continuity in neural networks Adam: A Method for Stochastic Optimization

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:27.189902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:27.189902Z digest=sha256:7e79cb1fdfc82ff7cd3b16dfd7db1cfb407e6bc10cc5ec27cafd9ec8214ebde4

Observation d981c9e5-89ca-4800-8642-f95838c72e05 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:27.212416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:27.212416Z digest=sha256:30b5f85d85b12494b0e570f64602052a5e889a3651102b6a59b143057a6b4576

Observation 61d05802-19f3-4181-a70a-8550f371aec0 · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:27.268882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:27.268882Z digest=sha256:15145813e4f275636bf0cca536097dcecd5c914f5f72bd5d90e63be56a82ff15

Observation 787affee-cbd5-47c8-9318-60ff9307b2dc · outbound

This paper cites an unresolved cited work.

Principles of Lipschitz continuity in neural networks Unresolved cited work

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-03T04:54:27.290302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:54:27.290302Z digest=sha256:5f3f82b4bbcf71678002c4fe5611ac63cfe91b071f2243c35c7aafb2ff319062

Pith citing papers

No inbound Pith citation observations are available.