Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T23:31:27.686541Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2602.13792.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T23:31:27.686541Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
50 of 50 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 597c14b6-688e-4b9e-8a1b-17110e34a9ee · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models A Survey of Large Language Models
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdce0da2-bf88-4e6a-8ec0-afbfb60e222c · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Unresolved cited work
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 047a51fd-fa91-4ec5-9563-a11442c02ccc · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Unresolved cited work
Reference 3
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Unavailable: canonical work link unavailable.
Observation 44aa731b-657d-4c95-a8b5-97a96d1ba367 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Unresolved cited work
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f25a375-9ebc-4a00-9196-d4acd1a75319 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Evaluating Large Language Models Trained on Code
Reference 5
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Unavailable: canonical work link unavailable.
Observation a5a86cf2-4877-464f-a707-6d5c2b3b21cf · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models S., Wang, Y
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33335612-32db-4a3f-b5f4-ae07208548a5 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Unresolved cited work
Reference 7
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Unavailable: canonical work link unavailable.
Observation abddd7ce-11ce-4f58-80fb-6d9488dba6a0 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Large Language Models for Data Annotation and Synthesis: A Survey
Reference 8
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Unavailable: canonical work link unavailable.
Observation 7ee888ca-9555-4460-bfa8-3ecbf8dcb9ca · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models & Lin, J
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3300c529-9e74-46b2-8f4a-e4f4c88b22eb · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Can large language models provide useful feedback on resear ch papers? a large-scale empirical analysis
Reference 10
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Unavailable: canonical work link unavailable.
Observation 1f48e603-c3bf-4c9a-bfb1-20c646de4039 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Unresolved cited work
Reference 11
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Observation 5f7ac465-9705-4d03-85f3-dbc391841c7d · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Advances, challenges and opportunities in creating data fo r trustworthy AI
Reference 12
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Unavailable: canonical work link unavailable.
Observation ccc29ca4-982c-42ab-84f8-6ee3aedba558 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models & V ayena, E
Reference 13
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Observation 58ae9417-afe6-4f45-a271-c221d65e59f8 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Unresolved cited work
Reference 14
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Unavailable: canonical work link unavailable.
Observation a7a92649-32ee-4b20-95a5-3e269f8eafa2 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models P ., Wu, C., Morency, L.-P
Reference 15
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Unavailable: canonical work link unavailable.
Observation c567d1f0-cf81-4710-b686-c1a67c3d2d8b · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Unresolved cited work
Reference 16
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Unavailable: canonical work link unavailable.
Observation 3dcead4f-8ff9-4863-bfd4-2a10e2f35a6a · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models AI Alignment: A Comprehensive Survey
Reference 17
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Unavailable: canonical work link unavailable.
Observation b2333cbc-9c6d-4d13-86b4-0bc0f92d9bce · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models & Fan, Y
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcb41f25-646a-4bd6-8a09-59f9e468d634 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing
Reference 19
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Observation d02fe31c-04fb-47fc-9118-57febbe67531 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models A., Y ang, J
Reference 20
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Observation 955800c5-8a57-44c0-b9da-3c59bf448b29 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models & Franklin, M
Reference 21
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Unavailable: canonical work link unavailable.
Observation 85efdc67-9f43-406f-854e-f892fe900310 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Unresolved cited work
Reference 22
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Unavailable: canonical work link unavailable.
Observation 628a177a-614b-482c-bdad-3396a29bcaea · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Unresolved cited work
Reference 23
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Unavailable: canonical work link unavailable.
Observation d4b6ddc0-92bd-4ec0-baf7-70593e151ab4 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Unresolved cited work
Reference 24
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Unavailable: canonical work link unavailable.
Observation 86527e2d-2118-4ec4-a9c0-8561d2371051 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Unresolved cited work
Reference 25
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Unavailable: canonical work link unavailable.
Observation e6371af1-cd62-4ea5-94df-cec2650b0b96 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models S., Correll, J
Reference 26
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Observation 62ba681f-3578-4318-ab69-f6f48a6c9534 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Holistic evaluation of language models
Reference 27
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Unavailable: canonical work link unavailable.
Observation 1beadbbb-a59f-4852-a7dc-bda0638ba8b0 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models A survey on evaluation of large language models
Reference 28
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Unavailable: canonical work link unavailable.
Observation e95a773f-6ffd-443e-8da1-845730f4b317 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 29
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Observation 03cdc2db-d912-40f8-a781-e5f07907da8b · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models GPT-4 Technical Report
Reference 30
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Observation 146aebb8-bda5-488f-a34a-bdfa48bb3d53 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Attacks on third-party APIs of large language models
Reference 31
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Unavailable: canonical work link unavailable.
Observation 9d60d546-b9fd-43d3-95c6-7044c07175f8 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Unresolved cited work
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ff2a73b-374c-4240-8993-9755dc8bed1c · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Ensemble Methods: F oundations and Algorithms (CRC Press, 2012)
Reference 33
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Observation bdc97df3-2031-4d71-a18e-e4d1461c465a · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Bagging predictors
Reference 34
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Unavailable: canonical work link unavailable.
Observation 17e84b83-1486-45ca-b523-67d858487d92 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Unresolved cited work
Reference 35
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Observation a382b514-216c-4e96-b645-004787afe8da · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models & Suen, S
Reference 36
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Unavailable: canonical work link unavailable.
Observation 7b7bcf6a-dc58-4d78-bd0c-025c699aae9e · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models & Grofman, B
Reference 37
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Observation e169d733-d2d0-404e-a146-8d946273c69a · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models & Kluger, Y
Reference 38
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Observation 5260f419-802d-4c5d-a6c8-7fd13055d515 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models & Ruvolo , P
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac6fc529-8087-46cf-9ea0-17527e843be2 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models & Hovy, E
Reference 40
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Observation bd971f60-6379-4fa6-93e6-a2b19f9115fd · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models & Olshevsky, A
Reference 41
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Observation fe85683e-4e7f-4117-8fca-8abf57df7426 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models & Shah, D
Reference 42
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Observation f05b7906-68a3-4787-ba33-38e3b8e35ff0 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Unresolved cited work
Reference 43
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Unavailable: canonical work link unavailable.
Observation 8dc0e2e0-7a3f-42c4-a920-733dbf0096f3 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Unresolved cited work
Reference 44
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Observation 49edc133-885c-4037-842b-a1f082d5edc3 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Unresolved cited work
Reference 45
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Observation bafe6742-e833-4653-8e17-48b5cc29a874 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models A lightweight, effective, and efficient model for label aggr egation in crowdsourcing
Reference 46
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Observation 1a46675b-407a-494d-b3a0-cacc574fa1ff · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models & Y u, Y
Reference 47
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Observation a464fb8a-6d83-4a32-80f9-48e33523cd02 · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models & Cohn, T
Reference 48
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Observation 6ea0161d-4583-4846-9284-19347af2162b · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models Unresolved cited work
Reference 49
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Observation 6ab15f4a-5c2a-4850-a886-fca5171787fa · outbound
StackingNet: Collective Inference Across Independent AI Foundation Models summary_of_the_paper
Reference 50
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No inbound Pith citation observations are available.