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Paper Citation Record · LEDGER

Opus: Photonic Rail-Optimized Fabric in ML Datacenters

As of 9 August 2026, this Paper Citation Record lists 100 of 101 outbound references and 0 inbound Pith citation observations for arXiv:2602.12521.

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

pith.paper-citation-record.v1
2602.12521 v3

Coverage vector

measured 100 of 101 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:51:02.595351Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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 101 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved99
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 142f905e-3333-418f-960d-ee7318a3be6a · outbound

This paper cites NVIDIA GB200 NVL72.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters NVIDIA GB200 NVL72

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:50:52.738783Z digest=sha256:2e5532d64752e704e2920eebba83d29fc29aab24955c4515b599d2833de1bfde

Observation 757d5b9b-5ba6-4e97-8b97-dd38754e1160 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-02T23:50:52.781050Z digest=sha256:a260438c924656e5bdfcc09a236e8fee651f7e401b9fb108fbd02d70a59e362f

Observation 71ee0c03-b74d-45f1-80c2-d6e86bf2143c · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-02T23:50:52.860654Z digest=sha256:abdf171c608dbe787850ad9ab0a131a2d73eaf161d101197894accea88156364

Observation d247ce6b-1f88-4333-a10e-5b1ba581eba3 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-02T23:50:52.997228Z digest=sha256:b48c4d6d3f1c58f165957637e9ff8f332237bec0ff38809debfae1bbc0a34bb9

Observation 47de456a-dd35-4c70-ac39-59a09b6842f9 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-02T23:50:53.167426Z digest=sha256:301319682d7ac80d0d3a306c93627924ba02a3378288bf2acaec9f18b0b2b730

Observation 21ca1949-f52b-469e-a495-cd8f291d77e4 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-02T23:50:53.297825Z digest=sha256:1a24d3755616dc8a9b7ad9092b3dca7df6e00949dc17437f91d2095dec40626f

Observation 88f93afb-9171-4ad9-99a6-8a19ad158dc8 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:50:53.413852Z digest=sha256:4783e206bb6121c03fad05a7c6af3b8f3642e2c541d64230ccdc0a2f5fa486c3

Observation 3332e8da-b05c-490e-a9a3-09021e316a19 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-02T23:50:53.548143Z digest=sha256:468244eb04956b04b4d5c7ff0293e8834fa3e45e0a2492501cc507b1df4b3c40

Observation 3a39b1ef-3b64-4db9-8bae-04526097bc2b · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-02T23:50:53.622775Z digest=sha256:b07878e00d713101fd1b3c2e7bc4e31633cd32c61701507672c9183dfd4f03bf

Observation a46caf95-2f98-41de-876d-0e573099bfc5 · outbound

This paper cites Optical Systems Division.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Optical Systems Division

Reference 10

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source=pdf_text observed=2026-08-02T23:50:53.719459Z digest=sha256:6baa8ce9ad516971b524f2d85e9fa38a49c19e861e4241e2591a4089a8db8874

Observation a48fb86d-ebe8-46e0-adc5-4a5e1c16d9c8 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-02T23:50:53.831031Z digest=sha256:c37fb4b570b2efd000fba1c728a1c09dd4ed10f3d7a4e33e3efc3657922e75fa

Observation 81e60bf5-d8a4-47aa-93fa-beb6b7be1fdb · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-02T23:50:53.933436Z digest=sha256:b9edbaa5abb2484d91a883bbc9f273c4907eef0b15f550379d310bf9f8407fff

Observation 092df765-9836-4b08-8c84-06266133a9e0 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-02T23:50:54.031964Z digest=sha256:0bf3cdd46131052f8475a3d3edbd467f212e09de0abcb8952d1446871cda56a4

Observation e5e8382c-fe19-4e32-86aa-305252c02de8 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 14

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source=pdf_text observed=2026-08-02T23:50:54.151745Z digest=sha256:542eb97dc50bab2880597de8b399b52ef269891ca57b6b3e5dcd1f104d378031

Observation 9d17c970-d6ad-407a-aa6f-9b2eeada85de · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-02T23:50:54.283472Z digest=sha256:015ba6726179134a0765c758360baad77fc321bc9cc5a41690914c3eb8235f8c

Observation a83613fa-d334-438a-884e-abf4739bf52a · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-02T23:50:54.350600Z digest=sha256:b3c4878b77a05c2faf436a3426f076c5c9d37c5432692a1c66a277bf12ebadd6

Observation 199a1313-6c3b-4628-aa6c-a2ac1c2eb9b0 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 17

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Observation e751e9cf-12f5-400b-84ac-7c4c3d4cb3f3 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 18

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Observation b022e505-c559-4122-9dbd-c37af09e8569 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 19

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Observation aad91e5d-1a9a-4132-b408-3ce541aa8912 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 20

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Observation 7606e7eb-3ef4-470c-a723-1bf07cc8f918 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 21

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Observation 245eaefd-4abe-4156-b324-311ae75778af · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 22

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Observation 93e9f5e7-066a-4b9c-a7ec-d98dbc25752f · outbound

This paper cites Hamilton, Navendu Jain, Srikanth Kandula, Changhoon Kim, Parantap Lahiri, David A.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Hamilton, Navendu Jain, Srikanth Kandula, Changhoon Kim, Parantap Lahiri, David A

Reference 23

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Observation 69d4db70-646e-4771-a2c5-9af39424ff7f · outbound

This paper cites Das, Jon P.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Das, Jon P

Reference 24

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Observation a5acdafe-00c5-4f30-9f4d-62521b1a63a7 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-02T23:50:54.993720Z digest=sha256:629e2c29f4f225f9f08c1f4b500bc736364042df103029c7d716bdf7f949c257

Observation d9b261d8-80f1-43ec-bf76-75a28ccc6725 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 26

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Observation ddbd35ff-0d69-45d8-be1f-cbef4376e3d0 · outbound

This paper cites 2010.{ZooKeeper}: Wait-free coordination for internet-scale systems.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters 2010.{ZooKeeper}: Wait-free coordination for internet-scale systems

Reference 27

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Observation 22c3f13a-f43b-4e91-825b-2fd3a79078ad · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 28

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Observation 6c21445d-0cfc-44c4-8d5e-0c6378b613a8 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 29

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Unavailable: canonical work link unavailable.

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Observation 042b01ca-9fac-498c-bdd7-4f2ccf1b9aef · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 30

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Observation 8f0d430f-6125-4c0d-bb5e-8fde6d7c8977 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 31

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Observation 6529e70e-556f-4459-a8b0-7ff297ea275d · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 32

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Unavailable: canonical work link unavailable.

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Observation 4c1e5271-fdae-4906-9f6e-9cc723551cdf · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 33

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Observation fa7f4cdb-55ac-4092-8080-c2ead7a1185f · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 34

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Observation d80e3367-9e10-4969-8172-ed12e2ee40c2 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:50:55.916235Z digest=sha256:00110babdd055d3505fb9718436f6ddf3a13e6b5ca6a9bd0a7c0fad159bfedbe

Observation fc1da9c1-185e-4b1f-826b-3d7303cb6b33 · outbound

This paper cites TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training

Reference 36

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Observation eb3100a9-e3a2-4a5d-b527-2953ffb2b96f · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 38

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Source-reported events for the cited work

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Observation 8a20bad9-32b3-4d84-925a-07ee0914cb14 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 39

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no resolver link, observed 2026-08-02T23:50:56.318327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fa610f86-e3d3-4328-b692-7ef120b2a71c · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:50:56.390241Z digest=sha256:d5f3ea3aad0c99545f6ba55cf1c372800a7f141916ead042c0942804a8a06e4d

Observation 6c6617b6-8dfd-49c8-983e-6462a2e41eb0 · outbound

This paper cites InProceedings of the ACM SIGCOMM 2025 Conference.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters InProceedings of the ACM SIGCOMM 2025 Conference

Reference 41

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Observation 792d7822-421a-47dc-981c-4534d541b1dd · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-02T23:50:56.603431Z digest=sha256:864ac2c3601b029c8b162711522e2d6e96e2e5ce240b1c8e4ef93b94ff789008

Observation 3d654ebb-a1c6-44f2-9157-ab1151c08f64 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 43

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source=pdf_text observed=2026-08-02T23:50:56.636813Z digest=sha256:34343aa907017740a8d2c173593c1c551b3e921eba551363824669ce0236a203

Observation f3fce136-6f6f-4153-bc5b-a56fb23bd7ac · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 44

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source=pdf_text observed=2026-08-02T23:50:56.697210Z digest=sha256:a9236b70787ebdcb88b3730c13444903ef62f3399b52631788bd1aa5bcb87c60

Observation 18e2b4a4-97c6-461f-a5da-1133106ae89c · outbound

This paper cites Ring Attention with Blockwise Transformers for Near-Infinite Context.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Ring Attention with Blockwise Transformers for Near-Infinite Context

Reference 45

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source=pdf_text observed=2026-08-02T23:50:56.536838Z digest=sha256:e277b892c47b413af7185cdaf673eeedea5bfb7307d54494646371fb2e98c6f8

Observation bde45525-53f1-4ae8-acef-b67a8388c22c · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 46

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source=pdf_text observed=2026-08-02T23:50:56.842536Z digest=sha256:d9c399e38fd2e9150a5de66cc9d4921bcc82d77e56f9a9fdb765821df944cb37

Observation 0e0f11f3-43cb-4ef0-8493-810e4377046a · outbound

This paper cites 2024.NVIDIA Firmware Tools (MFT) Docu- mentation.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters 2024.NVIDIA Firmware Tools (MFT) Docu- mentation

Reference 47

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source=pdf_text observed=2026-08-02T23:50:56.921550Z digest=sha256:98fbd9a2ca7afcc52e6c49bd0b5236ec69078048fb90552a0c45d5569c0f5a9d

Observation dba8d8ac-d7b4-4fb1-a82e-78463ab73fd9 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-02T23:50:57.001813Z digest=sha256:7b466f339f1e8ab3e6ad5b1ec8e903227e7254e0f4d2b50344199c56f599bd4c

Observation 92765be9-7126-440e-abe5-81cee8b8fe35 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-02T23:50:56.767843Z digest=sha256:688bf41791c2e83ae66657f1086e95379a7194bcc0c3f745f8b2cd003dd3ba90

Observation 9c0874b0-ebdd-416d-81a8-521b35c63fdb · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-02T23:50:57.191374Z digest=sha256:2aa81f873342b8fc9eda0f9f2797cf50e289a8cc3511e394c1cf8c3788dde1a8

Observation e6f954ec-b7a1-49ad-8f58-2c14c3c78326 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 51

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source=pdf_text observed=2026-08-02T23:50:57.258998Z digest=sha256:06c2a33fd4fcc74dc4d2a21f4fc6140152d445c760e6a2526e0a0b3843103868

Observation 6aacf95e-0d28-40db-ae0f-e70ed26884fe · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-02T23:50:57.263556Z digest=sha256:e750229bbf63fa053b8b64fbdcf93d2a8509470a5994fd47c9f01765f562d6b6

Observation 8c65e479-5b79-4252-8259-b3fab453386a · outbound

This paper cites 2020.NVIDIA Collective Communication Library (NCCL): Creating a Communicator.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters 2020.NVIDIA Collective Communication Library (NCCL): Creating a Communicator

Reference 53

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source=pdf_text observed=2026-08-02T23:50:57.078133Z digest=sha256:ee5dfcc6d3436ff4031e1a2b628ab8a6ecf9dff854e28afca2330d4569d4bf5e

Observation 29186d8e-23a8-4347-8353-103fa7e096e4 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-02T23:50:57.460665Z digest=sha256:f429d99549e1c472a7e813ff0bada1f2beeddd0fd0ddae1a8d07c6e9cfd1e67e

Observation 2cd9cd5f-cb6a-4ccc-910b-a47c3a5bf4c6 · outbound

This paper cites 2025.NVIDIA Announces Spectrum -X Photonics, Co -Packaged Optics Networking Switches to Scale AI Factories to Millions of GPUs.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters 2025.NVIDIA Announces Spectrum -X Photonics, Co -Packaged Optics Networking Switches to Scale AI Factories to Millions of GPUs

Reference 55

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source=pdf_text observed=2026-08-02T23:50:57.553064Z digest=sha256:86cd22bf58b1a7443abcf8009bac72f04b41aed5fd47d84f7367e31a06df42fb

Observation 7e2ba796-c462-4779-aac4-e894993f5de3 · outbound

This paper cites 2025.NVIDIA Collective Communications Library (NCCL).

Opus: Photonic Rail-Optimized Fabric in ML Datacenters 2025.NVIDIA Collective Communications Library (NCCL)

Reference 56

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source=pdf_text observed=2026-08-02T23:50:57.583411Z digest=sha256:0ec11dd5b02f218fad346f2d78d627a02fdd6a66c44dae9d0853e9b0487ea316

Observation 555c47c9-34cd-4908-8f0f-fc84ed58aa68 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 57

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source=pdf_text observed=2026-08-02T23:50:57.332064Z digest=sha256:991a828eafc345f3d825805af407b5adcc07aed1c81fd1c84d40a1a2d603c115

Observation bdbd6cc4-d12f-40af-9dbf-ca70cae8d8c6 · outbound

This paper cites 2025.NVIDIA DGX SuperPOD.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters 2025.NVIDIA DGX SuperPOD

Reference 58

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source=pdf_text observed=2026-08-02T23:50:57.729717Z digest=sha256:299e5b7d00a9439db92d29d192e34613f04134e9d2c5ff5c69738c59526e39ac

Observation d4351895-c0bc-49a4-bdad-9b2efdf6bdd1 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 59

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source=pdf_text observed=2026-08-02T23:50:57.866689Z digest=sha256:66b596f1ff049ae42f6ba9f439af067906989ab0674bad2b8a0a43e00374ec2d

Observation 3bc718e9-a629-49f4-820d-c3dbec6fcef8 · outbound

This paper cites 2025.NVIDIA HGX Platform.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters 2025.NVIDIA HGX Platform

Reference 60

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source=pdf_text observed=2026-08-02T23:50:57.949658Z digest=sha256:2fc856bc5b33d39784784efff0c5048f62bc994a922ac0028dac4bb8ddb1a7d1

Observation 78056633-3e5f-4706-a0b5-7e02e50d99fa · outbound

This paper cites 2025.NVIDIA DGX H200 Datasheet.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters 2025.NVIDIA DGX H200 Datasheet

Reference 61

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source=pdf_text observed=2026-08-02T23:50:57.656043Z digest=sha256:f9ad74265f9a3fe99687e4c3a7ddca437ccf6dd3353e419db361f79e80cc7236

Observation d43c65cf-3cc1-4867-9c82-6d6ac77e61dd · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 62

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source=pdf_text observed=2026-08-02T23:50:58.156574Z digest=sha256:35cb3d18233b7df893e6bf1bda2238f41e6920c91127ddef916ca376ef547f2b

Observation 21d188b8-b72f-4df2-9fb4-995b233a4a9f · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 63

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source=pdf_text observed=2026-08-02T23:50:58.348436Z digest=sha256:115a0a3bafa8e9d1314a24999669bcac2417cbf444a047b85e189b1183d0c873

Observation 2f8506c9-9076-4974-8efe-2596ccb9836f · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 64

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source=pdf_text observed=2026-08-02T23:50:58.471655Z digest=sha256:b1dc1e43e4d07458e549ff746c704c39f25021f498923b7ab7ea7c8fed72ed6c

Observation 7bb3d707-e244-4307-9d34-1b404e6a2ece · outbound

This paper cites 2025.Rail Optimized Topology Val- idation.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters 2025.Rail Optimized Topology Val- idation

Reference 65

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source=pdf_text observed=2026-08-02T23:50:58.065350Z digest=sha256:8933ad4bdee15ecd39d04fb0f27b0d3d108d5975eccdc9a2e3a2f68cce2e5064

Observation 790d5b6c-3628-47de-95d0-2dda0e00ab53 · outbound

This paper cites Zero Bubble Pipeline Parallelism.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Zero Bubble Pipeline Parallelism

Reference 66

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source=pdf_text observed=2026-08-02T23:50:58.766843Z digest=sha256:ae997a79b4c7f5f0b2b7289fa92d1d3944fac2f663456dddc8e982e561d8e731

Observation 44c8ffac-8efc-4b89-a6d4-8387604ad2c4 · outbound

This paper cites SemiAnal- ysis.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters SemiAnal- ysis

Reference 67

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source=pdf_text observed=2026-08-02T23:50:58.240671Z digest=sha256:0cc72e743d1c9b0f9737e5aea8b75475d15ea501c9150234a6132286c5e7be4b

Observation 9168b9fc-6eef-49af-ac01-a179dbfd0e46 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 68

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source=pdf_text observed=2026-08-02T23:50:58.958306Z digest=sha256:466929a4b45ea98e61950b726df219ac4e3926fd7dc571784b5e12fc5edf25cd

Observation 5c0cbb10-875d-4c45-a7e9-cf8643f9fed0 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 69

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T23:50:59.104740Z digest=sha256:83cf512f35f842c9c418b0b4ab1e8b2f67a1dbf358f1bdc253a0ceff978b5e08

Observation dbd54b65-48ee-4d7c-a2c4-32f7fbdbb011 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 70

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T23:50:58.595744Z digest=sha256:4ca42b7ec7bd766d9c18c7ff4dba7568567ba3c3c1d1a69d69b64e8a948beae1

Observation 588013f0-b837-4dbc-806a-40ec46ef6fa9 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 71

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source=pdf_text observed=2026-08-02T23:50:59.355621Z digest=sha256:ffe12a9c683ff64a0bfa7b2026afc3ed2b79e9200b7f1ac1574cb03fad9f68c2

Observation ed0cd196-92db-4d5c-ac5a-801298c15734 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 72

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source=pdf_text observed=2026-08-02T23:50:58.874094Z digest=sha256:abe30355f15c18064db13883a11e1b6aae9afe28d61a14ae3696685425d15724

Observation f75ac532-d1e1-4f09-8ec4-f18c369671d6 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 73

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source=pdf_text observed=2026-08-02T23:50:59.638094Z digest=sha256:6664c45597663f79ec6ec5b41b42878c4a4a3de34010db6c952ce0cd235bb3f3

Observation 93f42499-355e-40fe-a458-41128481d36b · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 74

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T23:50:59.714583Z digest=sha256:ddcc394e1ef9240898db06fb2c52200f1a3aa5af4cca1bed8e31f9a67176c49e

Observation 3b6bc698-96d9-4b9e-954a-6eeebd3caf2e · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 75

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no resolver link, observed 2026-08-02T23:50:59.919205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:50:59.919205Z digest=sha256:a768a069b8800924df70e79f2313a924516e9a7a563262f0836a3ba029935480

Observation 31a987d4-6e5e-417d-9453-090b1dca543c · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 76

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no resolver link, observed 2026-08-02T23:50:59.287103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:50:59.287103Z digest=sha256:34d0ed0be1b2451b235a58f9d294fa89509989611d9c924e19599fd888178255

Observation d17306f9-a22a-45a8-9eb1-7457d5612c3e · outbound

This paper cites Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 77

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no resolver link, observed 2026-08-02T23:51:00.332947Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T23:51:00.332947Z digest=sha256:c00ce15b0b68779937ccd7d29d2ab4b31e4b5411bf078fd65bd78a123f2120c9

Observation 89aa22db-d465-43f4-b9c7-5c5f36278b30 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 78

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T23:50:59.455800Z digest=sha256:c5cf600c0b983240ef084b272ca9ac51c8f74db4962c5bec17c80a52c3c57d2f

Observation 2c6fa90f-e298-4446-9195-ac98bb790c97 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 79

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:51:00.611653Z digest=sha256:f690cffeae5e2b00a05778151b43c82c2d61e2c00af575b6b4e8e8d7951c866d

Observation 0ec98781-6e70-4631-991a-15f81dfb9295 · outbound

This paper cites Andersen, Michael Kaminsky, Konstantina Papagiannaki, T.S.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Andersen, Michael Kaminsky, Konstantina Papagiannaki, T.S

Reference 80

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source=pdf_text observed=2026-08-02T23:51:00.739503Z digest=sha256:ef5c28ecb30c548fae7f9591ae90f3b59cb1c15cb9a0d71f3fc66ecaae3d5303

Observation e53e4fbb-f72a-4290-870e-f1e8d2305acf · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 81

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T23:51:00.905348Z digest=sha256:faf9c6808369f8381a47d9bf15bec9974d2124079b2fcfda08b43dea731995b3

Observation 37eb349b-d0f8-4f0e-bfd7-2cd26e8a899e · outbound

This paper cites Brighten Godfrey.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Brighten Godfrey

Reference 82

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source=pdf_text observed=2026-08-02T23:51:00.027776Z digest=sha256:6a6e57eada03e00c4a77717de592cabe6cfc3353d255d73c3b560b252d042368

Observation 671f4d7b-ab0f-4f0a-a046-61e552e849fa · outbound

This paper cites 2023.{TopoOpt}: Co-optimizing network topology and parallelization strategy for distributed training jobs.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters 2023.{TopoOpt}: Co-optimizing network topology and parallelization strategy for distributed training jobs

Reference 83

Resolution
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no resolver link, observed 2026-08-02T23:51:01.137295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f45a1dd7-a191-4ac1-94f3-015d4db9aacd · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 84

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no resolver link, observed 2026-08-02T23:51:01.274533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ed5f138a-018c-4eee-bd06-ea393466d8a0 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 85

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unresolved
no resolver link, observed 2026-08-02T23:51:00.496447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 76ebc353-5490-4bb2-af75-270083cd5a98 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 86

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no resolver link, observed 2026-08-02T23:51:01.500452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 75b7ec7f-93f2-4187-91c2-6bc634ac5f91 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-02T23:51:01.706864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:51:01.706864Z digest=sha256:35428c94af6d92eb8af1323848698723e4863585a56ff1787ded2af1ccefcb0a

Observation 0f033ba3-50fb-4eaa-971b-5c30bc253d14 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 88

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no resolver link, observed 2026-08-02T23:51:01.857883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:51:01.857883Z digest=sha256:a5d5201b9245772ed280fa31620906de1fbd28fc1d5ba2d33e8c55bdbe6be00a

Observation 14ec6953-7ef9-40c8-a2e8-31fb6ddea334 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 89

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:51:02.243087Z digest=sha256:f8a0bce5d3be9c07db1f003d000b24f71de334ce1acc1cdd95d9217c177c6724

Observation 8b48c2cb-0dd4-4958-857c-a42c9f12c79e · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 90

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no resolver link, observed 2026-08-02T23:51:01.018948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c0042780-73d0-417e-9c13-d82dc3cb725e · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 91

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unresolved
no resolver link, observed 2026-08-02T23:51:02.595351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:51:02.595351Z digest=sha256:f65b146b1c512c97fccaa1d361381bfeed6b529b09f818b3ecb86b1d98893294

Observation dc1fb83e-a199-43f5-89ce-443b9215071a · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 93

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verified exact
doi, observed 2026-08-02T23:53:24.191418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-02T23:51:01.380687Z digest=sha256:b3b051884cb9b7f48c4b808e622d8b26fa12b1c29e64c08ded7a43243898188d

Observation f91ce3bf-e230-4f0d-9924-e54a61454e65 · outbound

This paper cites InProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters InProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

Reference 95

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no resolver link, observed 2026-08-02T23:51:01.605344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:51:01.605344Z digest=sha256:053a5eb61fd84d3d4e2fd2fa35fbfce8e02a7c49c94767fe9a97775e3124478e

Observation cd996a03-14dd-4902-b198-7f0d0c5ea6c7 · outbound

This paper cites an unresolved cited work.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Unresolved cited work

Reference 100

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unresolved
no resolver link, observed 2026-08-02T23:51:02.379632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:51:02.379632Z digest=sha256:7ad6ce7d6c918b54f26911f9244521fa0c8f3b658579e376ed7922af6fd7d510

Observation 83550848-7977-4011-b1f8-6b5ac8771e2b · outbound

This paper cites PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Reference 101

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unresolved
no resolver link, observed 2026-08-02T23:51:02.492413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:51:02.492413Z digest=sha256:b18e432e4a4c940c4161d00c29aa73ad47bbea42046128a387a32680d9512eb3

Observation 799cd523-705b-461e-afd7-6d5b270a147f · outbound

This paper cites InProceedings of the ACM SIGCOMM 2010 Conference (SIGCOMM ’10).

Opus: Photonic Rail-Optimized Fabric in ML Datacenters InProceedings of the ACM SIGCOMM 2010 Conference (SIGCOMM ’10)

Reference 2010

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unresolved
no resolver link, observed 2026-08-02T23:51:00.808335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:51:00.808335Z digest=sha256:724837964b0bfdce98daf0c9d690c8bd8641ca2c60cd4d67e9f05ea190ff61ad

Observation 4e875215-c452-4ae0-bd68-b918ce5a56ef · outbound

This paper cites In9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12).

Opus: Photonic Rail-Optimized Fabric in ML Datacenters In9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12)

Reference 2012

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unresolved
no resolver link, observed 2026-08-02T23:51:00.198798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:51:00.198798Z digest=sha256:2cc0ce14700a0071a1d83810237e1b68413832d46984f22cf0c499c43221e39e

Observation e9b7bef3-8877-455e-a24b-5b660aeb7787 · outbound

This paper cites InProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters InProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Reference 2015

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unresolved
no resolver link, observed 2026-08-02T23:51:02.056285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:51:02.056285Z digest=sha256:63a88f4dc86f859503f691063e49e9ce1986d2a54371d295a93b9da5f0c28814

Observation b0a1bef5-7a94-4db0-8a87-c438639814e7 · outbound

This paper cites InProceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters InProceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-02T23:50:59.204465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:50:59.204465Z digest=sha256:c93dbde5cd1b02a2a3f0857d0a5c48b4782cb01d29932922ac1d42338b2959a1

Observation 23c8b6ea-e745-49ec-a3de-2e768d313775 · outbound

This paper cites Proceedings of Machine Learning and Systems5 (2023), 341–353.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters Proceedings of Machine Learning and Systems5 (2023), 341–353

Reference 2023

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unresolved
no resolver link, observed 2026-08-02T23:50:55.595995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:50:55.595995Z digest=sha256:3fa61c04285da345a3c8d342c605a2d786d28d37c79a67c2ca0212522a9ce835

Observation e8180a50-b9cc-4cb4-8bcb-26e3bb2824b4 · outbound

This paper cites DeepSeek-V3 Technical Report.

Opus: Photonic Rail-Optimized Fabric in ML Datacenters DeepSeek-V3 Technical Report

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T23:50:56.467808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:50:56.467808Z digest=sha256:23fb27b2c50a97220fa38c06ef3e75aa7047ea654bc5e3925917bb7e4e92d6de

Pith citing papers

No inbound Pith citation observations are available.