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Paper Citation Record · LEDGER

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives

As of 10 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2608.01725.

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

pith.paper-citation-record.v1
2608.01725 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:11:25.131406Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

56 of 56 outbound references displayed

  • verified exact3
  • verified fuzzy44
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 10faa753-c1ac-4667-9bd4-93ee335a1f9b · outbound

This paper cites Resource central: Understanding and predicting work- loads for improved resource management in large cloud platforms,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Resource central: Understanding and predicting work- loads for improved resource management in large cloud platforms,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 748d0e3d-068d-48bf-bc80-217c760557e8 · outbound

This paper cites M100 exadata: a data collection campaign on the cineca’s marconi100 tier-0 supercomputer,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives M100 exadata: a data collection campaign on the cineca’s marconi100 tier-0 supercomputer,

Reference 2

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raw_fallback, observed 2026-08-04T22:11:25.765474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b9b3e684-7e1d-4e3c-8d03-b42f07171bbd · outbound

This paper cites Google cluster-usage traces: Format + schema,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Google cluster-usage traces: Format + schema,

Reference 3

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raw_fallback, observed 2026-08-04T22:11:25.754675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2bd2ca46-6230-4547-8547-3c0a16e5a950 · outbound

This paper cites Borg: The next generation,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Borg: The next generation,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4f98cac3-57bc-47d9-9368-bccce14deab7 · outbound

This paper cites Challenges in deploying machine learning: A survey of case studies,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Challenges in deploying machine learning: A survey of case studies,

Reference 5

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raw_fallback, observed 2026-08-04T22:11:25.734144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 018f609a-279c-4d12-9313-ebd8367d17e0 · outbound

This paper cites Decision-focused learning: Foundations, state of the art, benchmark and future opportunities,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Decision-focused learning: Foundations, state of the art, benchmark and future opportunities,

Reference 6

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raw_fallback, observed 2026-08-04T22:11:25.723547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation bf0ed37f-a38d-4133-bc7b-866572fb303f · outbound

This paper cites Et-bert: A contextualized datagram representation with pre-training transformers for encrypted traffic classification,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Et-bert: A contextualized datagram representation with pre-training transformers for encrypted traffic classification,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8e622496-6573-4e7a-8b47-7aeda4bc4452 · outbound

This paper cites netFound: Principled Design for Network Foundation Models.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives netFound: Principled Design for Network Foundation Models

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:11:24.970681Z digest=sha256:ddf4a711154624f8b32d33209943fae6220d016ab9c3ec2d581e96899922476a

Observation 34d5478c-612d-45d9-ab69-6351f614adf9 · outbound

This paper cites Mobigpt: A foundation model for mobile wireless networks,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Mobigpt: A foundation model for mobile wireless networks,

Reference 9

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arxiv_id, observed 2026-08-04T22:11:25.242697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b1a5345e-b311-45a2-b4b5-e89ba00b5f8e · outbound

This paper cites Large Wireless Model (LWM): A Foundation Model for Wireless Channels.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 10

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no resolver link, observed 2026-08-04T22:11:24.977311Z

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Unavailable: canonical work link unavailable.

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Observation 2aab9464-0036-48ea-956c-8e21cc486361 · outbound

This paper cites Netllm: Adapting large language models for networking,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Netllm: Adapting large language models for networking,

Reference 11

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raw_fallback, observed 2026-08-04T22:11:25.641343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 08778f22-6c47-4c0e-9666-23029d45ea77 · outbound

This paper cites Chronos: Learning the language of time series,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Chronos: Learning the language of time series,

Reference 12

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raw_fallback, observed 2026-08-04T22:11:25.630710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 17cd2a4f-a430-4062-8487-891dc83ef253 · outbound

This paper cites A decoder-only foundation model for time-series forecasting,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives A decoder-only foundation model for time-series forecasting,

Reference 13

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raw_fallback, observed 2026-08-04T22:11:25.619861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e6a15f1f-a715-4319-a99d-e4fbf64fb534 · outbound

This paper cites Uomo: A universal model of mobile traffic forecasting for wireless network optimization,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Uomo: A universal model of mobile traffic forecasting for wireless network optimization,

Reference 14

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raw_fallback, observed 2026-08-04T22:11:25.609374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b11c85b5-1ec7-4c35-88d3-9c7c46311cda · outbound

This paper cites F- data: A fugaku workload dataset for job-centric predictive modelling in hpc systems,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives F- data: A fugaku workload dataset for job-centric predictive modelling in hpc systems,

Reference 15

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raw_fallback, observed 2026-08-04T22:11:25.599109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b458caee-378a-4e9c-9cf3-c9fc25bd7644 · outbound

This paper cites Who limits the resource efficiency of my datacenter: An analysis of alibaba datacenter traces,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Who limits the resource efficiency of my datacenter: An analysis of alibaba datacenter traces,

Reference 16

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raw_fallback, observed 2026-08-04T22:11:25.587572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0d574142-6e34-49b0-8e67-52867f300f2d · outbound

This paper cites The ANL/IBM SP scheduling system,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives The ANL/IBM SP scheduling system,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 13fcdeb0-6061-4961-b99b-e89af65a46a8 · outbound

This paper cites Backfilling using system- generated predictions rather than user runtime estimates,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Backfilling using system- generated predictions rather than user runtime estimates,

Reference 18

Resolution
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raw_fallback, observed 2026-08-04T22:11:25.567470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a50bf90a-c084-4290-bb04-04452d665ccf · outbound

This paper cites Obtaining dynamic schedul- ing policies with simulation and machine learning,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Obtaining dynamic schedul- ing policies with simulation and machine learning,

Reference 19

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raw_fallback, observed 2026-08-04T22:11:25.556994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7802b68a-c225-46f0-a6d6-89668ae411c4 · outbound

This paper cites Strictly proper scoring rules, prediction, and estimation,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Strictly proper scoring rules, prediction, and estimation,

Reference 20

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raw_fallback, observed 2026-08-04T22:11:25.546492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4697f9b0-c289-4153-9a6b-364d1255fc78 · outbound

This paper cites Attention is all you need,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Attention is all you need,

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:11:25.012584Z digest=sha256:1d81980c6d9922f6aa2e1dab392960db9288b7c19beaabe8fc2cd9b24bd09b56

Observation 25edf7b0-f364-4e8b-8ee4-8ba443bf8809 · outbound

This paper cites Actions speak louder than words: Trillion-parameter sequential transducers for generative recommendations,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Actions speak louder than words: Trillion-parameter sequential transducers for generative recommendations,

Reference 22

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raw_fallback, observed 2026-08-04T22:11:25.530930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c452d93f-536f-4446-98e5-89d082f9343f · outbound

This paper cites Protransformer: Robustify transformers via plug-and-play paradigm,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Protransformer: Robustify transformers via plug-and-play paradigm,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d323341c-5f13-4d0d-aba4-e1c21193ab1d · outbound

This paper cites Going deeper with image transformers,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Going deeper with image transformers,

Reference 24

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raw_fallback, observed 2026-08-04T22:11:25.511257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation aad19953-2d92-44ca-af9a-87505d92f07b · outbound

This paper cites Mixture density networks,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Mixture density networks,

Reference 25

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raw_fallback, observed 2026-08-04T22:11:25.501354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9641d467-5f53-4152-aa20-0cb66a6d2ab0 · outbound

This paper cites A Multi-Horizon Quantile Recurrent Forecaster.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives A Multi-Horizon Quantile Recurrent Forecaster

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 008c7a01-0f00-4af7-a705-0de0e468c656 · outbound

This paper cites Improving multi-step prediction of learned time series models,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Improving multi-step prediction of learned time series models,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-04T22:11:25.491522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 94d3874f-b9bc-4e2d-bbce-34faac30d52e · outbound

This paper cites Recurrent neural net- works for time series forecasting: Current status and future directions,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Recurrent neural net- works for time series forecasting: Current status and future directions,

Reference 28

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raw_fallback, observed 2026-08-04T22:11:25.481130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1a6f24b4-a5d6-44e3-9922-29578f62fe22 · outbound

This paper cites The big data newsvendor: Practical insights from machine learning,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives The big data newsvendor: Practical insights from machine learning,

Reference 29

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raw_fallback, observed 2026-08-04T22:11:25.471234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.040255Z digest=sha256:93527b80ef43be9dc50c7b17381df5a4c9bec86f2e54391683cea4259cfd9eec

Observation b32ed4be-d1b4-47ee-b284-dd1e5814cb83 · outbound

This paper cites Cesnet-timeseries24: Time series dataset for network traffic anomaly detection and forecasting,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Cesnet-timeseries24: Time series dataset for network traffic anomaly detection and forecasting,

Reference 30

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raw_fallback, observed 2026-08-04T22:11:25.461292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation bddb2b9c-99d2-416e-b369-87872c6f323f · outbound

This paper cites The M4 com- petition: 100,000 time series and 61 forecasting methods,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives The M4 com- petition: 100,000 time series and 61 forecasting methods,

Reference 31

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raw_fallback, observed 2026-08-04T22:11:25.451491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2eab9daf-e4c8-4653-8c56-fb7ba23b3380 · outbound

This paper cites Improving backfilling by using machine learning to predict running times,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Improving backfilling by using machine learning to predict running times,

Reference 32

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raw_fallback, observed 2026-08-04T22:11:25.441237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.049714Z digest=sha256:1c80aff4406e81272e9207373e793a1e80c3cf62127e89a96fa6e525521daa70

Observation 96f47404-be94-4e82-97a4-19b6901d4bb3 · outbound

This paper cites Uarp: Uncertainty-aware runtime prediction for preventing scheduler termination under wallclock constraints in hpc,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Uarp: Uncertainty-aware runtime prediction for preventing scheduler termination under wallclock constraints in hpc,

Reference 33

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raw_fallback, observed 2026-08-04T22:11:25.430700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.053160Z digest=sha256:4d0242708dbf51def30396a8c1b4977c973d89882b0212e0f82dd68a5ecf4786

Observation ce90ecff-fcc4-4bf7-bd97-f964ed14db3a · outbound

This paper cites NetGPT: Generative Pretrained Transformer for Network Traffic.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives NetGPT: Generative Pretrained Transformer for Network Traffic

Reference 34

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no resolver link, observed 2026-08-04T22:11:25.056946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:11:25.056946Z digest=sha256:f6eccf8bd3be482078bb16dddd0067b3e4a12cafb7ac21f979820c4d67de2eb5

Observation 2ed4b8d4-c1d7-4ed0-a455-d675c008e9f3 · outbound

This paper cites NetMamba: Efficient network traffic classification via pre-training unidirectional mamba,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives NetMamba: Efficient network traffic classification via pre-training unidirectional mamba,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:11:25.420731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.060698Z digest=sha256:974036a4719384370c256b3e46bfe4ccd5c759285bfff9f671a5365c151919b6

Observation 1cb9afdc-4ebd-4fd4-ad84-805cbe50aa46 · outbound

This paper cites Unified training of universal time series forecasting transformers,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Unified training of universal time series forecasting transformers,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:11:25.411109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.064522Z digest=sha256:aade3b2a65f0be1d6fad3ac97306cf155ae449456ef74a9b115df57d0c4a44c5

Observation bd514f7d-f30c-4d74-b7e2-1ac2bbf68cea · outbound

This paper cites Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T22:11:25.067944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:11:25.067944Z digest=sha256:d1b226bb48cdf63980997a007bfb4725cfb96a8e8f5e4afd848ac0bbe356f98e

Observation 8d44f920-4e9c-449d-b255-581203a7197c · outbound

This paper cites MOMENT: A family of open time-series foundation models,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives MOMENT: A family of open time-series foundation models,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:11:25.400771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.071215Z digest=sha256:a03972129d8054d007065d54fd2b98e9108118ebb3ba0328f15b1e44afc74afe

Observation bb20d075-13b9-4986-9b7c-11e2c6614946 · outbound

This paper cites Time-LLM: Time series forecasting by reprogramming large language models,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Time-LLM: Time series forecasting by reprogramming large language models,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:11:25.390799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.074398Z digest=sha256:b39b6f07b9f5484cc2e1b704a819041d79fcb8417ef2922898e9a0d26147fa64

Observation 97230b23-12be-4211-b0f3-b0a3a15fb421 · outbound

This paper cites One fits all: Power general time series analysis by pretrained LM,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives One fits all: Power general time series analysis by pretrained LM,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:11:25.380845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.077302Z digest=sha256:778ff8e9aaacfa034c95b65ee4e154ca505e7b7d73b3d89e741bb9d7ebc13079

Observation 2d922063-f713-49d4-8e56-d26777aba395 · outbound

This paper cites Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T22:11:25.081368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:11:25.081368Z digest=sha256:9098044a26bc55a2e9d0a06efb3e98384a10c4c90ef83372806c15e971f2771d

Observation 3f25c174-a0a5-4f8d-8a94-f2217e3dbc35 · outbound

This paper cites Time-series foundation models for isp traffic forecasting,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Time-series foundation models for isp traffic forecasting,

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-08-04T22:11:25.186014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.085448Z digest=sha256:fdff6935e915fd3f6022fa8e9523c26cfccfb68cecaf60eec51345eb923028ae

Observation 2cd34246-6416-45a9-bdee-f9a18cb497ea · outbound

This paper cites CLOUDADV: Decision-Aligned Instance Sizing with Zero-Shot Foundation Models under Drift.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives CLOUDADV: Decision-Aligned Instance Sizing with Zero-Shot Foundation Models under Drift

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-04T22:11:25.170785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.088442Z digest=sha256:20cad0a0e360f5040723335faeda998ff9140308bb7ccd75028062c63946362d

Observation 6b2a35d5-99ba-4c09-9409-6e0e3e34cf9a · outbound

This paper cites Decision- focused fine-tuning of time series foundation models for dispatchable feeder optimization,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Decision- focused fine-tuning of time series foundation models for dispatchable feeder optimization,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:11:25.371756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.092118Z digest=sha256:1378357293606a4f6321b227335b8af8c171ccaaeccf371578869954da0ef1d1

Observation e2a84dcb-f732-47cb-9ff5-160bcb9c1f92 · outbound

This paper cites Walltime prediction and its impact on job scheduling performance and predictability,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Walltime prediction and its impact on job scheduling performance and predictability,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:11:25.362490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.094949Z digest=sha256:5d246e7c7d8149e79da5d9a9a0a07de3396d88aeb14bd878a76c89a3ed60895b

Observation d4d6f37c-a06e-499c-a78b-eb23635cf9fe · outbound

This paper cites A reinforcement learning based backfilling strategy for hpc batch jobs,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives A reinforcement learning based backfilling strategy for hpc batch jobs,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:11:25.351552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.098235Z digest=sha256:cef6f6b9caddb54fe6e7dbe946704a12c4e690ff18220345e06cadb801137871

Observation e343c741-634b-4d44-823a-f3771401cc05 · outbound

This paper cites Autopilot: Workload autoscaling at Google,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Autopilot: Workload autoscaling at Google,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:11:25.342294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.101190Z digest=sha256:5850a9ba54c5d55c88fbc4babcbcef53f59180fe3714b486e497d62f4a4dda6e

Observation 810e0ab2-35b2-4ae4-a4be-b3bfefd9742d · outbound

This paper cites Zoom2Net: Constrained network telemetry imputation,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Zoom2Net: Constrained network telemetry imputation,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:11:25.332066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.105257Z digest=sha256:11fc9741685b5d4d4649c5ecbcd2fba5cfa0e3ae3a6643ab5a83c4845e73dd4a

Observation c2b94e15-da5a-465b-b635-9bede331ce0d · outbound

This paper cites DOTE: Rethinking (predictive) W AN traffic engineer- ing,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives DOTE: Rethinking (predictive) W AN traffic engineer- ing,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:11:25.322507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.109322Z digest=sha256:1533dbf566b3795ac09f40ffed4f95f37c2428522a766f8b39dff0f47ea399b8

Observation f13e1970-32bb-4a60-a699-698903d2efa0 · outbound

This paper cites HLogformer: A Hierarchical Transformer for Representing Log Data.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives HLogformer: A Hierarchical Transformer for Representing Log Data

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-04T22:11:25.112383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:11:25.112383Z digest=sha256:f29e88f57db21dd226ab84c4d2088ae7bc0678890c7db868a135c9782490bda4

Observation c3e0ec83-8e20-43cc-a6b8-9a4145ea5b03 · outbound

This paper cites OpenTwin: Digital twin driven closed-loop KPM inference and control for open RAN,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives OpenTwin: Digital twin driven closed-loop KPM inference and control for open RAN,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:11:25.312965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.115813Z digest=sha256:2e5ea8a8cb5675e8f46e7ddd3afcf4cadd22d6d42d5ff3d46d0aa07effda617e

Observation 8a04f7d1-3d4d-4bd6-8836-c130c866f664 · outbound

This paper cites Digital twin- assisted data-driven optimization for reliable edge caching in wireless networks,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Digital twin- assisted data-driven optimization for reliable edge caching in wireless networks,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:11:25.301476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.119489Z digest=sha256:5e491c2f51a112b54a2affd664e9c613669c9437b3ac27545cb4fe93bb5893fa

Observation e7e4bd36-d079-4f2a-ae7b-2c8b3c95c149 · outbound

This paper cites Network digital untwinning: Towards backward optimization of digital twins,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Network digital untwinning: Towards backward optimization of digital twins,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:11:25.291679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.122448Z digest=sha256:1b9dc82c7497380cefadef4c35b533967ebf5d18769e2e50e19bda24876abe19

Observation 690e79d5-65c3-4a91-972e-1ad4e8f38fc1 · outbound

This paper cites Digital network twins for next-generation wireless: Creation, optimization, and challenges,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Digital network twins for next-generation wireless: Creation, optimization, and challenges,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:11:25.282062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.125421Z digest=sha256:3dfc415f67387432295ccc2ba2b4c24fb1d8997329849da579fdf552054f9229

Observation dc10ae33-6614-449a-9fc9-7ec7167121da · outbound

This paper cites Learning in situ: A randomized experiment in video streaming,.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Learning in situ: A randomized experiment in video streaming,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:11:25.272175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.128394Z digest=sha256:ff827e2afd288a886e1c84e93b5e1bfb4f9f908a300e0e02236ab9622cea739f

Observation da7e95d6-747e-40e8-8a90-c765301fc25c · outbound

This paper cites an unresolved cited work.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-04T22:11:25.262107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:11:25.131406Z digest=sha256:5e9269226057c4c62f68f17d363504a2c7da04fb03b57794c71beaefce05d2fb

Pith citing papers

No inbound Pith citation observations are available.