Paper Citation Record · LEDGER

Code generation for solving and differentiating through convex optimization problems

As of 17 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 1 inbound Pith citation observation for arXiv:2504.14099.

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

pith.paper-citation-record.v1
2504.14099 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:59:27.689381Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:39:41.299077Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

71 of 71 outbound references displayed

verified exact1
verified fuzzy43
unresolved27
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 70fe77ba-1c95-4bbb-bd37-12c776dbfc11 · outbound

This paper cites Agrawal, B.

Code generation for solving and differentiating through convex optimization problems Agrawal, B

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:29.008927Z

Source-reported events for the cited work

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Observation 26e768b1-4fde-4063-8fbe-af49cccefadb · outbound

This paper cites Differentiating Through a Cone Program.

Code generation for solving and differentiating through convex optimization problems Differentiating Through a Cone Program

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 376fa1be-3a43-4aa1-b918-6965d4045793 · outbound

This paper cites Agrawal, S.

Code generation for solving and differentiating through convex optimization problems Agrawal, S

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.990930Z

Source-reported events for the cited work

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Observation c3c01af5-21ab-463a-a4e4-864951fad2e0 · outbound

This paper cites Abadi, P.

Code generation for solving and differentiating through convex optimization problems Abadi, P

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.972703Z

Source-reported events for the cited work

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Observation bb845e7c-2a87-42e7-b82f-e33f8c3cd097 · outbound

This paper cites Amos and Z.

Code generation for solving and differentiating through convex optimization problems Amos and Z

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.952663Z

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Observation 9f88a8a6-96cb-4d4e-ab37-760e51a7c399 · outbound

This paper cites Anderson and J.

Code generation for solving and differentiating through convex optimization problems Anderson and J

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.934760Z

Source-reported events for the cited work

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Observation 1f6620a6-608d-4cdd-a63f-78e0cdcd9775 · outbound

This paper cites Akiba, S.

Code generation for solving and differentiating through convex optimization problems Akiba, S

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.915563Z

Source-reported events for the cited work

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Observation 21355c71-5b21-4354-9201-bc94f9383fdb · outbound

This paper cites Boyd and C.

Code generation for solving and differentiating through convex optimization problems Boyd and C

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.896031Z

Source-reported events for the cited work

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Observation 870ab53e-674a-42eb-9409-9801571d2a84 · outbound

This paper cites Barratt and S.

Code generation for solving and differentiating through convex optimization problems Barratt and S

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.877566Z

Source-reported events for the cited work

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Observation 478d2e50-fea8-4ef4-a3a3-a66aaed31396 · outbound

This paper cites an unresolved cited work.

Code generation for solving and differentiating through convex optimization problems Unresolved cited work

Reference 10

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Source-reported events for the cited work

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Observation 92ff07ed-9c9d-4161-89f5-1ea1d5edcd99 · outbound

This paper cites an unresolved cited work.

Code generation for solving and differentiating through convex optimization problems Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:59:28.846670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a2039844-aa1f-495d-90ae-e9a087e31738 · outbound

This paper cites Bertsekas.

Code generation for solving and differentiating through convex optimization problems Bertsekas

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.831034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8ba0b831-179b-48e0-8561-78fae2acd8e5 · outbound

This paper cites Bertsekas.

Code generation for solving and differentiating through convex optimization problems Bertsekas

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.813219Z

Source-reported events for the cited work

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Observation 59c61baa-f7af-4b51-b99b-c35d8187f085 · outbound

This paper cites Bradbury, R.

Code generation for solving and differentiating through convex optimization problems Bradbury, R

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.791273Z

Source-reported events for the cited work

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Observation 308d4d1e-d4b8-4e99-ae6e-6a8bcffee1e1 · outbound

This paper cites Bertsekas and R.

Code generation for solving and differentiating through convex optimization problems Bertsekas and R

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.769672Z

Source-reported events for the cited work

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Observation ff15e960-0683-4d8f-b25d-fc1de8acdb76 · outbound

This paper cites Brown, W.

Code generation for solving and differentiating through convex optimization problems Brown, W

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.749598Z

Source-reported events for the cited work

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Observation 0c338693-9d44-4a18-93cf-f0e04f7099b0 · outbound

This paper cites Markowitz Portfolio Construction at Seventy.

Code generation for solving and differentiating through convex optimization problems Markowitz Portfolio Construction at Seventy

Reference 17

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Source-reported events for the cited work

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Observation b763f4c8-fddc-4449-ae3e-fe0bd0d29c97 · outbound

This paper cites Bishop and N.

Code generation for solving and differentiating through convex optimization problems Bishop and N

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.730306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 46204aa4-39c5-422a-be51-1d8eb67ff5ac · outbound

This paper cites Bertsimas and A.

Code generation for solving and differentiating through convex optimization problems Bertsimas and A

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.712375Z

Source-reported events for the cited work

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Observation b92bd84e-6c6e-45f0-8e7c-6fa2c2361376 · outbound

This paper cites Boyd and L.

Code generation for solving and differentiating through convex optimization problems Boyd and L

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:27.416527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f4287dc-1d73-4d24-a046-086b5d492d40 · outbound

This paper cites Carson and N.

Code generation for solving and differentiating through convex optimization problems Carson and N

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.683013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7d5aa1f1-58b5-41fc-8c82-5c39de0a52db · outbound

This paper cites Calamai and J.

Code generation for solving and differentiating through convex optimization problems Calamai and J

Reference 22

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Source-reported events for the cited work

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Observation e0f2276e-5a5a-41dd-92b7-c14b031fef39 · outbound

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Code generation for solving and differentiating through convex optimization problems Unresolved cited work

Reference 23

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Observation 92b32bce-14ab-4f51-b883-1a1afea433c7 · outbound

This paper cites an unresolved cited work.

Code generation for solving and differentiating through convex optimization problems Unresolved cited work

Reference 24

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Source-reported events for the cited work

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Observation d2551159-b354-40b7-ae9f-a2ea0841b71e · outbound

This paper cites Diamond and S.

Code generation for solving and differentiating through convex optimization problems Diamond and S

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:27.445389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6d12c9a-d4c3-4acf-aa5a-7a10220d16ad · outbound

This paper cites Davis and W.

Code generation for solving and differentiating through convex optimization problems Davis and W

Reference 26

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Source-reported events for the cited work

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Observation 5895a08c-f87a-4dba-a9c8-82f17c1e520c · outbound

This paper cites Davis and W.

Code generation for solving and differentiating through convex optimization problems Davis and W

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.580650Z

Source-reported events for the cited work

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Observation 731cfede-f8fc-437e-bdcd-74c2c61374ca · outbound

This paper cites Dunning, J.

Code generation for solving and differentiating through convex optimization problems Dunning, J

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.559794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 734435b5-805f-42d2-9d1e-e22b3ed1c7c8 · outbound

This paper cites predict, then optimize.

Code generation for solving and differentiating through convex optimization problems predict, then optimize

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.540243Z

Source-reported events for the cited work

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Observation 9000cc9c-c72e-4470-b397-df2346c9c711 · outbound

This paper cites Elton, M.

Code generation for solving and differentiating through convex optimization problems Elton, M

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.513553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 99dccd73-8fb0-46c3-a951-e7c17e47decd · outbound

This paper cites an unresolved cited work.

Code generation for solving and differentiating through convex optimization problems Unresolved cited work

Reference 31

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Observation 8af82fe3-52d4-41b1-896e-5f17061e3b90 · outbound

This paper cites Grant and S.

Code generation for solving and differentiating through convex optimization problems Grant and S

Reference 32

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Source-reported events for the cited work

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Observation 067a7fc8-8981-457e-bc14-9d9139656291 · outbound

This paper cites Grinold and R.

Code generation for solving and differentiating through convex optimization problems Grinold and R

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72c9fef2-515b-41c9-bd1b-84ab78f59419 · outbound

This paper cites Garcia, D.

Code generation for solving and differentiating through convex optimization problems Garcia, D

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.438629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fbb08413-b99a-43c8-90d8-c54a5286a86b · outbound

This paper cites Halabian.

Code generation for solving and differentiating through convex optimization problems Halabian

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.417840Z

Source-reported events for the cited work

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Observation 4761760a-5367-4b48-94d3-3ae2a3c75f63 · outbound

This paper cites an unresolved cited work.

Code generation for solving and differentiating through convex optimization problems Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:59:28.399414Z

Source-reported events for the cited work

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Observation 6066507b-0a76-45f9-a2bc-d3aa36e60aed · outbound

This paper cites Hoerl and R.

Code generation for solving and differentiating through convex optimization problems Hoerl and R

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.381259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f64d50ea-e431-4c5e-a1e1-ff292a49c7c2 · outbound

This paper cites Holzmann.

Code generation for solving and differentiating through convex optimization problems Holzmann

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.362424Z

Source-reported events for the cited work

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Observation 7e3f82dd-e45a-4f39-8991-99ec5c933123 · outbound

This paper cites Hastie, R.

Code generation for solving and differentiating through convex optimization problems Hastie, R

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.343673Z

Source-reported events for the cited work

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Observation 38557a5f-0b32-4f6b-ae9c-fdc05a841283 · outbound

This paper cites Keshavarz and S.

Code generation for solving and differentiating through convex optimization problems Keshavarz and S

Reference 40

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Source-reported events for the cited work

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Observation df913120-158c-47bf-acce-09026547258f · outbound

This paper cites Kouvaritakis and M.

Code generation for solving and differentiating through convex optimization problems Kouvaritakis and M

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1442586c-3c68-4c98-a72d-75cf9530b0ac · outbound

This paper cites Learning Joint Models of Prediction and Optimization.

Code generation for solving and differentiating through convex optimization problems Learning Joint Models of Prediction and Optimization

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 817c6706-be98-4b5c-acdf-681523ba5766 · outbound

This paper cites Kwakernaak and R.

Code generation for solving and differentiating through convex optimization problems Kwakernaak and R

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.300216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bff13391-840a-4c48-95b8-7e677c4c1193 · outbound

This paper cites L\"ofberg.

Code generation for solving and differentiating through convex optimization problems L\"ofberg

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.279207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f8a71d85-881c-45f2-bc83-803e7932b888 · outbound

This paper cites Lefever, E.

Code generation for solving and differentiating through convex optimization problems Lefever, E

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.259274Z

Source-reported events for the cited work

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Observation b8a782ce-f615-4619-9dd6-02e27de43fd3 · outbound

This paper cites an unresolved cited work.

Code generation for solving and differentiating through convex optimization problems Unresolved cited work

Reference 46

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Source-reported events for the cited work

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Observation ba547612-ac9c-4c97-845a-4d34f7ead919 · outbound

This paper cites an unresolved cited work.

Code generation for solving and differentiating through convex optimization problems Unresolved cited work

Reference 47

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Source-reported events for the cited work

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Observation 055b89a9-0e7d-4117-b518-e41daa0c8dee · outbound

This paper cites Ledoit and M.

Code generation for solving and differentiating through convex optimization problems Ledoit and M

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.201306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0052eb75-b252-4d34-96cb-25002a23cddb · outbound

This paper cites Markowitz.

Code generation for solving and differentiating through convex optimization problems Markowitz

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 595df937-4700-42c0-9016-2093da765389 · outbound

This paper cites Mattingley and S.

Code generation for solving and differentiating through convex optimization problems Mattingley and S

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:27.579546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5da275d6-baeb-42ef-a14a-87df44945db0 · outbound

This paper cites A Light-Weight Multi-Objective Asynchronous Hyper-Parameter Optimizer.

Code generation for solving and differentiating through convex optimization problems A Light-Weight Multi-Objective Asynchronous Hyper-Parameter Optimizer

Reference 51

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 27e67a09-b7d1-4258-9d59-719cdf808c59 · outbound

This paper cites an unresolved cited work.

Code generation for solving and differentiating through convex optimization problems Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:59:28.154063Z

Source-reported events for the cited work

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Observation d0c96c44-424f-4c81-aef6-e9aa554f501f · outbound

This paper cites an unresolved cited work.

Code generation for solving and differentiating through convex optimization problems Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:59:28.132915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 67a4c141-490d-44a4-b462-5b708f6d5492 · outbound

This paper cites Nobel, E.

Code generation for solving and differentiating through convex optimization problems Nobel, E

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.109955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8c1bf9d9-e8ad-4701-bd5e-c015f0b53003 · outbound

This paper cites RandALO: Out-of-sample risk estimation in no time flat.

Code generation for solving and differentiating through convex optimization problems RandALO: Out-of-sample risk estimation in no time flat

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:27.607209Z

Source-reported events for the cited work

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Observation 65f4d662-6f8b-4dee-9673-b0431000dbd8 · outbound

This paper cites an unresolved cited work.

Code generation for solving and differentiating through convex optimization problems Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:59:28.086263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c5f9eb83-381a-400f-8157-1f34cef4b26c · outbound

This paper cites Paszke, S.

Code generation for solving and differentiating through convex optimization problems Paszke, S

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.068284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation feb28986-fe61-416c-b2d2-6536b63648be · outbound

This paper cites Pappas, A.

Code generation for solving and differentiating through convex optimization problems Pappas, A

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.051647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 53727ffb-8d7a-4704-a4bf-20df497a4ba7 · outbound

This paper cites Rawlings, D.

Code generation for solving and differentiating through convex optimization problems Rawlings, D

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.034555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 34668912-d873-4ce9-924d-0b6a62919ccc · outbound

This paper cites Schaller, G.

Code generation for solving and differentiating through convex optimization problems Schaller, G

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:27.633710Z

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Observation 38491cac-678b-4ef2-9fe6-27458a796536 · outbound

This paper cites Stellato, G.

Code generation for solving and differentiating through convex optimization problems Stellato, G

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:28.004187Z

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Observation e4605508-2b6e-488a-b97e-1406a1b37e1d · outbound

This paper cites an unresolved cited work.

Code generation for solving and differentiating through convex optimization problems Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:59:27.985314Z

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Observation a91596d0-84d3-4f2f-a331-34826f74b1ec · outbound

This paper cites Tibshirani.

Code generation for solving and differentiating through convex optimization problems Tibshirani

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:27.967435Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6956d7b2-b91f-491d-9c6c-e508d037ec1e · outbound

This paper cites Tang and E.

Code generation for solving and differentiating through convex optimization problems Tang and E

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:27.948028Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bcc82b0a-5fc7-4c5e-8f5b-3de420d7f3a1 · outbound

This paper cites Udell, K.

Code generation for solving and differentiating through convex optimization problems Udell, K

Reference 65

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Observation 9bccec99-0758-4c2e-9caf-acbc9feb97f7 · outbound

This paper cites Vanderbei.

Code generation for solving and differentiating through convex optimization problems Vanderbei

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:27.914373Z

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Observation 51e6ca8e-f612-400b-ba5b-d3e0474f14d8 · outbound

This paper cites Wainwright.

Code generation for solving and differentiating through convex optimization problems Wainwright

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:27.895720Z

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Observation 141c364b-13cd-4973-980f-3f6b00050183 · outbound

This paper cites Wang and S.

Code generation for solving and differentiating through convex optimization problems Wang and S

Reference 68

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Observation 7c92f22b-8f6f-452e-be8f-f1131d18f301 · outbound

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Code generation for solving and differentiating through convex optimization problems Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:59:27.866697Z

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Observation 204c1bfa-aac1-476f-b4db-37f346a5f179 · outbound

This paper cites Zibulevsky and M.

Code generation for solving and differentiating through convex optimization problems Zibulevsky and M

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:27.848478Z

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Observation 8a5df7bf-b175-49f8-9db5-3859bfa52cad · outbound

This paper cites Zou and T.

Code generation for solving and differentiating through convex optimization problems Zou and T

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:59:27.830375Z

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Pith citing papers

Observation d882127a-3c40-4d36-b310-5859a729a4be · inbound

Learning to Optimize by Differentiable Programming cites this paper.

Learning to Optimize by Differentiable Programming Code generation for solving and differentiating through convex optimization problems

Reference 146

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