Paper Citation Record · LEDGER

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision

As of 21 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2508.06995.

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

pith.paper-citation-record.v1
2508.06995 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:25:38.498028Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:29:08.158722Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:29:08.232404Z

Reference resolution

51 of 51 outbound references displayed

verified exact2
verified fuzzy45
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f20ce2b-6316-4a90-90af-101d48ea33cd · outbound

This paper cites Deepjs: Job scheduling based on deep reinforcement learning in cloud data center,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Deepjs: Job scheduling based on deep reinforcement learning in cloud data center,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.465844Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 127c51b2-ee86-4fc6-92c4-5cc9442be819 · outbound

This paper cites Bin packing with linear usage costs–an application to energy management in data centres,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Bin packing with linear usage costs–an application to energy management in data centres,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.450785Z

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Observation 2ab8b117-3688-46ef-85fb-bca45c12a195 · outbound

This paper cites Data center demand response in deregulated electricity markets,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Data center demand response in deregulated electricity markets,

Reference 3

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2cf0fa90-fca2-4a58-8990-c239eeb80c27 · outbound

This paper cites Learning scheduling algorithms for data processing clusters,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Learning scheduling algorithms for data processing clusters,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.402692Z

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Observation 324563ec-f79d-41c9-813c-bf2dbd5682a0 · outbound

This paper cites Online job scheduling scheme for low-carbon data center operation: An information and energy nexus perspective,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Online job scheduling scheme for low-carbon data center operation: An information and energy nexus perspective,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.387458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 093a587e-4545-40d6-9136-a7fae41ebf1d · outbound

This paper cites Modeling demand response capability by inter- net data centers processing batch computing jobs,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Modeling demand response capability by inter- net data centers processing batch computing jobs,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.371880Z

Source-reported events for the cited work

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Observation d5095122-3f8a-4b81-8a04-85f94ed6cc4a · outbound

This paper cites A two-stage framework for the multi-user multi-data center job scheduling and resource allocation,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision A two-stage framework for the multi-user multi-data center job scheduling and resource allocation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.356376Z

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Observation 96cad6e0-fd4a-4cbd-8d71-8f48055f5f49 · outbound

This paper cites Managing data center cluster as non-wire alternative: A case in balancing market,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Managing data center cluster as non-wire alternative: A case in balancing market,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.340794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b82bac92-cb23-4055-a493-dbca61f0786b · outbound

This paper cites Data center participation in demand response programs with quality-of-service guarantees,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Data center participation in demand response programs with quality-of-service guarantees,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.324428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation df4ff481-1e47-48fb-9273-ff0530375999 · outbound

This paper cites Emission-aware stochastic resource planning scheme for data center microgrid considering batch workload scheduling and risk management,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Emission-aware stochastic resource planning scheme for data center microgrid considering batch workload scheduling and risk management,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.307239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c2cd657c-b94b-464c-9888-895f544f9ed3 · outbound

This paper cites Energy-aware virtual machine allocation in dvfs-enabled cloud data centers,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Energy-aware virtual machine allocation in dvfs-enabled cloud data centers,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.290522Z

Source-reported events for the cited work

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Observation f24bf381-8ed8-4037-84c5-c92348f49406 · outbound

This paper cites An energy- aware scheduling algorithm in dvfs-enabled networked data centers,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision An energy- aware scheduling algorithm in dvfs-enabled networked data centers,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.274571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5709c848-59a6-4d2b-a670-c7cf74354ba7 · outbound

This paper cites Energy and performance aware fog computing: A case of dvfs and green renewable energy,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Energy and performance aware fog computing: A case of dvfs and green renewable energy,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.258734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 58967198-1e48-4804-bdfa-0fd4545da7f4 · outbound

This paper cites Energy-efficient dag scheduling with dvfs for cloud data centers,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Energy-efficient dag scheduling with dvfs for cloud data centers,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.243334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a4c0412c-ce21-403d-95ca-edd6182b98fc · outbound

This paper cites Resource man- agement with deep reinforcement learning,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Resource man- agement with deep reinforcement learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.228233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 426ae8ee-92ae-485c-812b-e55f71e3252b · outbound

This paper cites An energy aware resource allocation based on combination of cnn and gru for virtual machine selection,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision An energy aware resource allocation based on combination of cnn and gru for virtual machine selection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.210227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dfa689d0-478e-40c6-aa21-b1fbfe647a4a · outbound

This paper cites Energy-aware qos-based dynamic virtual machine consolidation approach based on rl and ann,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Energy-aware qos-based dynamic virtual machine consolidation approach based on rl and ann,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.194621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 43bef59f-9275-4762-a41d-f78b86e3ff74 · outbound

This paper cites Virtual machine migration techniques for optimizing energy consumption in cloud data centers,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Virtual machine migration techniques for optimizing energy consumption in cloud data centers,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.178243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9a7fbc8c-1f96-4dc8-a457-c83a5f685c70 · outbound

This paper cites Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.162573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 34d5444a-5af0-4cfd-bc17-d8a6b9596408 · outbound

This paper cites A survey of network isolation solutions for multi-tenant data centers,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision A survey of network isolation solutions for multi-tenant data centers,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.146126Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8900520c-188c-408f-beff-c333f544acd0 · outbound

This paper cites Data center access control,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Data center access control,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.130388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 104b563f-8ef0-4ff7-af60-ae73ae299652 · outbound

This paper cites United states data center energy usage report,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision United states data center energy usage report,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.114670Z

Source-reported events for the cited work

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Observation 472e6a2c-a8ad-4aa0-bb2c-b4056f4a8587 · outbound

This paper cites Carbon- aware computing for datacenters,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Carbon- aware computing for datacenters,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.098041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fddf847a-e00e-488e-8295-9b3db3cea358 · outbound

This paper cites {Prediction-Based} power oversubscription in cloud platforms,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision {Prediction-Based} power oversubscription in cloud platforms,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.080022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6e017ad1-d90f-4766-b721-7fa552afb81c · outbound

This paper cites Precise power capping for latency-sensitive applications in datacenter,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Precise power capping for latency-sensitive applications in datacenter,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.060699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bfc4e5ae-aa34-4950-9fac-61e039858dd3 · outbound

This paper cites Dynamic application-aware power capping,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Dynamic application-aware power capping,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.044573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0f5dbf34-26e2-48ae-8d4d-226281625935 · outbound

This paper cites Understanding the impact of dynamic power capping on appli- cation progress,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Understanding the impact of dynamic power capping on appli- cation progress,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.027951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d6a565da-3154-48ba-a67a-de0b9178bfcb · outbound

This paper cites Power capping: What works, what does not,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Power capping: What works, what does not,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.010406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fd0d18c4-551d-4f12-88b6-4e3a2f3d7980 · outbound

This paper cites Classified power capping by network distribution trees for green computing,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Classified power capping by network distribution trees for green computing,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:38.993952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 66516b1a-eecd-401e-8086-fd6126ee1163 · outbound

This paper cites Power modeling for effective datacenter planning and compute management,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Power modeling for effective datacenter planning and compute management,

Reference 30

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Observation 83ca971b-5891-41fb-8f35-8f1e99e6c66b · outbound

This paper cites Ai-driven job scheduling in cloud computing: a comprehensive review,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Ai-driven job scheduling in cloud computing: a comprehensive review,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:38.965975Z

Source-reported events for the cited work

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Observation f3299a60-cbea-43da-bc1a-4a6ab00a5c65 · outbound

This paper cites A BDI Agent-Based Task Scheduling Framework for Cloud Computing.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision A BDI Agent-Based Task Scheduling Framework for Cloud Computing

Reference 32

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ebf2da97-8163-4225-9558-bebdd598b548 · outbound

This paper cites Deep Reinforcement Learning: An Overview.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Deep Reinforcement Learning: An Overview

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T22:25:38.415653Z

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Observation 598cf5ba-3379-4a2f-96b6-62071a8dba89 · outbound

This paper cites Brief survey of model-based reinforcement learning techniques,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Brief survey of model-based reinforcement learning techniques,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:38.949497Z

Source-reported events for the cited work

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Observation 22d1a1e2-998c-4aad-a5a5-970f224aee6b · outbound

This paper cites Model-based reinforcement learning with kernels for resource allocation in ran slices,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Model-based reinforcement learning with kernels for resource allocation in ran slices,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:38.933986Z

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Observation 5497a8a6-71aa-447d-bbed-e1b2abef1cb6 · outbound

This paper cites Reliability-aware server consolidation for balancing energy-lifetime tradeoff in virtualized cloud datacenters,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Reliability-aware server consolidation for balancing energy-lifetime tradeoff in virtualized cloud datacenters,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:38.918415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c0e9acf4-cfe5-4caf-a2e6-6682584b5c04 · outbound

This paper cites Implicit quantile networks for distributional reinforcement learning,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Implicit quantile networks for distributional reinforcement learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:38.902079Z

Source-reported events for the cited work

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Observation 51cc8d8c-f875-4ace-95ec-44fce5bd72ca · outbound

This paper cites Load balancing on cloud analyst using first come first serve scheduling algorithm,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Load balancing on cloud analyst using first come first serve scheduling algorithm,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:38.885055Z

Source-reported events for the cited work

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Observation 8bfe9ef7-2ca8-492c-b57f-c2bcbbde7ad7 · outbound

This paper cites Fair scheduling with tunable latency: a round-robin approach,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Fair scheduling with tunable latency: a round-robin approach,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:38.867105Z

Source-reported events for the cited work

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Observation 386d230d-96fc-48c6-af78-26761eaba166 · outbound

This paper cites an unresolved cited work.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-05T22:25:38.850280Z

Source-reported events for the cited work

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Observation f8a65ebd-1755-469b-a48b-3593bba68394 · outbound

This paper cites Trace 201708,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Trace 201708,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:38.832497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dea6cc55-2903-4dc3-8c09-5be4b840991a · outbound

This paper cites Power consumption estimation models for processors, virtual machines, and servers,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Power consumption estimation models for processors, virtual machines, and servers,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:38.815906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c95d5fdd-db74-4346-84c0-f41ce5227320 · outbound

This paper cites Markets and operations,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Markets and operations,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:38.799319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7a6f73af-74e6-45e9-a3e3-c5d09c34cba8 · outbound

This paper cites Sla-driven dynamic resource management for multi-tier web applications in a cloud,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Sla-driven dynamic resource management for multi-tier web applications in a cloud,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:38.782502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 204d1e13-49f5-4381-85aa-317abe330cd9 · outbound

This paper cites Analyzing alibaba’s co-located datacenter workloads,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Analyzing alibaba’s co-located datacenter workloads,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:38.765287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2e49197e-1dce-44ed-8bc7-41a6ae7db99f · outbound

This paper cites Learning latent dynamics for planning from pixels,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Learning latent dynamics for planning from pixels,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T22:25:38.478845Z

Source-reported events for the cited work

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Observation 586ce16b-db04-4108-a2f3-30e135e094e4 · outbound

This paper cites Value-aware loss function for model learning in reinforcement learning,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Value-aware loss function for model learning in reinforcement learning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:38.738625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5649f022-a54c-429e-ad7a-6c33e46aedb5 · outbound

This paper cites Service level agreements and security sla: A comprehensive survey,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Service level agreements and security sla: A comprehensive survey,

Reference 48

Resolution: verified exact; raw_fallback, observed 2026-08-05T22:25:38.646946Z

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Observation 338b93ce-aaed-4194-bf9d-8b6199ab53c4 · outbound

This paper cites What is an sla? best practices for service-level agreements,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision What is an sla? best practices for service-level agreements,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:38.721491Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 73a838cc-3a26-48ee-bc5d-db428541a4b7 · outbound

This paper cites Iterative value-aware model learning,.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Iterative value-aware model learning,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:38.705420Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 237b0bab-48cb-499d-9a9e-97c5bf9280b1 · outbound

This paper cites Springer, 2013, pp.

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision Springer, 2013, pp

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:25:39.434693Z

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Pith citing papers

Observation ff406d0b-d9cf-42ba-adff-140139113c80 · inbound

Conformal Set-based Human-AI Complementarity with Multiple Experts cites this paper.

Conformal Set-based Human-AI Complementarity with Multiple Experts S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything without Supervision

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:29:08.322890Z

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