Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T02:24:43.554361Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 100 of 296 outbound references and 0 inbound Pith citation observations for arXiv:2607.14371.
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 2026-08-02T02:24:43.554361Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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
100 of 296 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation e0bc2e1c-0dea-4235-9fbf-54d8d53eaec6 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Abril and Robert Plant
Reference 1
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Observation ba5c68bd-23a8-4737-a8ca-edbe1868964d · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Deciding equivalances among conjunctive aggregate queries
Reference 2
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Observation 96bee69f-f46c-4450-8fda-d8f51f17cd82 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 3
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Observation 2a0e28e7-3aee-4403-8c74-f6db8ce78145 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Understanding Policy-Based Networking
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Observation 194198fa-ad58-4eb5-a4bb-c1acf65cb850 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 7
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Observation 5a2998a1-97cc-4c19-b62b-78db375548db · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 8
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Observation 0d4413ad-00ec-4473-93df-71afb5c9e695 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Douglass and David Harel and Mark B
Reference 9
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Observation c56397d6-2f0d-4185-b337-d3d6e69ff1b0 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 10
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Observation c7383977-27bd-423f-99a6-92fb6f674984 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 11
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Observation ad8ea5d4-8702-4c5d-ba39-a0d020763c64 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Journal of Urban Economics , volume=
Reference 12
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Observation c6bda826-1236-4285-9f97-d6f470e75103 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion 2024 , publisher=
Reference 13
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Observation cc9a3885-7e6a-4a0f-a2b7-2a416adc9c39 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Handbook of regional and urban economics , volume=
Reference 14
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Observation 097c509b-be22-48cd-91b5-cfaaaecdef00 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion American Economic Review , volume=
Reference 15
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Observation 530fdc0a-4241-47c5-b109-664a79c69a72 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion 2015 , publisher=
Reference 16
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Observation 0c9e2f3e-402d-47dd-b718-29a32d736b78 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Econometrica , volume=
Reference 17
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Observation 12ca8a9c-76fd-494f-b447-472b3bb1b014 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Structured Variational Inference Procedures and their Realizations (as incol)
Reference 18
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Observation a86e56ea-8899-4ef9-9115-639e76a1945a · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 19
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Observation d5d415da-b896-4aa1-a52d-ff78dba5072d · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unveiling the Statistical Foundations of Chain-of-Thought Prompting Methods
Reference 20
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Observation 51f8b7de-a8e5-4195-a67a-6a1651130379 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion SIAM Journal on Control and Optimization , volume=
Reference 21
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Observation d695a9ce-7a73-4cb2-a9c2-4409a0512816 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion 2018 , publisher=
Reference 22
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Observation 0eeea7c7-ee34-4efb-812f-b2cec6de40a1 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Advances in neural information processing systems , volume=
Reference 23
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Observation ca821c80-3d5e-433b-8aa8-9c7f09ed0aa6 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion arXiv preprint arXiv:2509.26030 , year=
Reference 24
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Observation 9ba70309-fc2a-4b25-8666-52e7421a0dcd · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Journal of Machine Learning Research , volume=
Reference 25
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Observation de077c63-9b89-4553-8e60-ca630bd05a5a · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Catch me, if you can: Evading network signatures with web-based polymorphic worms
Reference 26
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Observation 9bc6796d-2ebb-42be-b086-2b755dbef749 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Catch me, if you can: Evading network signatures with web-based polymorphic worms
Reference 27
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Observation 61be34f3-c049-41c0-bd9e-51ace6e436a8 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Catch me, if you can: Evading network signatures with web-based polymorphic worms
Reference 28
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Observation e78051ea-fa66-44f9-8c15-eb0ee27a3bb6 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Predicate Path expressions
Reference 29
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Observation d6d06e21-4a52-4603-b162-234312459eb4 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion LOGICS of Programs: AXIOMATICS and DESCRIPTIVE POWER
Reference 30
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Observation f31877ed-1f34-432b-ae84-b01f40dd298f · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Anisi , title =
Reference 31
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Observation db370e60-2c2e-4322-a669-289b23a3cabb · outbound
Reference 32
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Observation 4f3692e4-c53b-4201-a0b0-d4c0a068e6af · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Introduction to Bayesian Statistics
Reference 33
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Observation d79aee8b-cb98-43d8-bd37-e8c00f418e30 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion CLIFFORD: a Maple 11 Package for Clifford Algebra Computations, version 11
Reference 34
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Observation 9fd6ffb8-4f04-4a18-8a8e-157ecb2587b9 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Stats and Analysis
Reference 35
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Observation 4f955724-c18d-470d-8546-00221cdb49ef · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion A more perfect union
Reference 36
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Observation ccb800de-99d1-4a83-92a5-fc956bf6f5ba · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion The fountain of youth
Reference 37
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Observation 4bedc536-c79e-4894-8c68-2e1a5e9afc38 · outbound
Reference 38
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Observation 12d24164-d82d-40f8-811a-ca77ff15782c · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Interview with Bill Kinder: January 13, 2005
Reference 39
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Observation a74be3ea-261e-49ec-9bfa-0f85d70dc32b · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion The Enabling of Digital Libraries
Reference 40
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Observation d34d9643-04ca-4b50-b326-e6ac4cde09ae · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion (new) Finding minimum congestion spanning trees , journal =
Reference 42
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Observation 3a58a328-76e8-47af-a631-7b1cf8bafe53 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion and Mei, Alessandro , title =
Reference 44
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Observation 0250aad9-c6dc-4f7a-ac0e-102bc5cede2d · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion and Hutchful, David K
Reference 45
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Observation 53b9b233-ae58-40c7-9e06-cc521084779f · outbound
Reference 46
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Observation cc6a0b33-00c3-483b-8411-9e9ab9819f5d · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 47
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Observation 3b8083f2-7f65-4a5c-ac95-e55fb5c27373 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion and Rosenberg, Arnold L
Reference 48
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Observation ec0cb212-f285-41a2-b646-9b56ee8237e3 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion CHI '08: CHI '08 extended abstracts on Human factors in computing systems , year =
Reference 49
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Observation 1a61bdbe-ef0e-4892-86cb-369e84c83311 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Algorithms for Closest-Point Problems (Computational Geometry) , year =
Reference 50
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Observation 9146a563-44eb-4793-b642-390790bdc43c · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 51
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Observation 5909187d-bb65-45a6-b5d2-d41c29828a3f · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion 2004 , isbn =
Reference 52
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Observation 34c3a016-8a7c-40e9-9091-72759690ccac · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 53
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Observation def80af0-fcc5-47bd-8f46-5113f64a3038 · outbound
Reference 54
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Observation 2cbf6020-afeb-4211-89f6-f3c5fb85a457 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 55
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Observation 63ba7e40-43ea-4612-b882-f72b7b2f7291 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion E-commerce and cultural values , year =
Reference 56
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Observation 50bb429f-3eb8-487e-991f-b87062714f73 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion E-commerce and cultural values , year =
Reference 57
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Observation da597a44-c567-421a-9533-8e9a31415d1c · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Chapter 9 , booktitle =
Reference 58
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Observation a748ea9a-c6aa-40a8-92c6-90add1b6f79a · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion E-commerce and cultural values , editor =
Reference 59
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Observation 8dad001f-be06-4ee7-b6be-50f817a9e9c5 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion E-commerce and cultural values - (InBook-num-in-chap) , chapter =
Reference 60
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Observation 6b19ea1a-0350-40e7-8add-607bb2208a65 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion E-commerce and cultural values (Inbook-text-in-chap) , chapter =
Reference 61
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Observation 2d6709ed-3619-4407-a841-729953fd492a · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion E-commerce and cultural values (Inbook-num chap) , chapter =
Reference 62
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Observation 08f9716f-3e0b-40c2-bace-12a8e6d1e8ef · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Microelectron
Reference 63
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Observation f1d987a3-4e1f-42be-8a0b-a13e04af362d · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 64
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Observation 5421377f-3971-4376-af26-7ba5fc7ddfe5 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 65
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Observation 1c9b7974-c136-43cb-94c1-208c86f8e308 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 66
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Observation 184bc4f6-7bec-4831-a679-83a1490fbb3d · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion History of programming languages I (incoll) , editor =
Reference 67
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Observation 09281022-844a-4493-98c5-981214b5ed85 · outbound
Reference 68
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Observation 730bec6b-602d-465e-9f13-828a99f97314 · outbound
Reference 69
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Observation b836279c-e17b-4a38-bce9-334881570c35 · outbound
Reference 70
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Observation 1e748ef4-80da-462a-adf7-2100010fe3b2 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion and Golden, Donald G
Reference 71
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Observation 5b5a504c-ec2a-446d-b0c7-7b4b111b285e · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion The analysis of linear partial differential operators
Reference 72
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Observation 1018afaa-63fb-447f-a6b8-a4fab8ba627f · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion IEEE", address =
Reference 73
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Observation 415cc161-24c3-468a-b812-bf7dd0dc6a24 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 74
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Observation d9ab1c76-1ee2-45ad-930c-b5e31c02225b · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 75
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Observation a33869db-b0a6-48cd-8e82-39e981cd41d5 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion ACM", address =
Reference 76
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Observation 281ed220-8b0e-4545-ac1b-56b009f8b9ab · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion 8 (Special Issue on Sensor Networks)
Reference 77
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Observation d5f8052c-8165-4301-aa2d-c2d114c96c3e · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Natarajan and M
Reference 78
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Observation ba74cfe2-cc03-47f1-8834-cf427c1f9569 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Tzamaloukas and J
Reference 79
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Observation 03570c5d-17ec-4264-9763-2e6ab859bfa0 · outbound
Reference 80
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Observation 4a754bf0-d705-4ac9-83bd-870903bd53cd · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Mapping Powerlists onto Hypercubes
Reference 81
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Observation 85dd61e1-acb0-4d8c-82c6-d8318bba0d4e · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Automatic Parallelization for Distributed-Memory Multiprocessing Systems
Reference 82
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Observation 925dfb30-456d-4061-9260-102f987c1e79 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 83
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Observation 785b053f-6963-4c52-9217-26b456b7d43a · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 84
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Observation e735db71-9ab1-42f4-bf15-2b9dd9d41a5e · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Heering and P
Reference 85
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Observation 1a915f52-25dd-409f-bcdd-6f1e0b3c2747 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 86
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Observation f6969ee4-1e29-43b1-801f-563df0cb1726 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Korach and D
Reference 87
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Observation 5d3a4b47-9abb-45f2-b7f2-e7019d526b72 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion : A Document Preparation System
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Observation 8acc6fd5-8b22-471c-a4dd-a72216cd23e9 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 89
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Observation 12b7cf3e-dbfa-42af-aa57-1d22602fb48c · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Unresolved cited work
Reference 90
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Observation 3fb30cc5-f213-4103-8c5f-29efa6c42551 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion and Abdelzaher, Tarek F
Reference 91
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Observation 14f6beed-2f5b-4a9d-8e36-248afbba188b · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Understanding the planning of LLM agents: A survey
Reference 92
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Observation bf00b194-6eb2-423c-b23f-bb76c5b8a4bf · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Learning Dynamics of LLM Finetuning
Reference 93
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Observation c42f0dc0-1a24-4b14-b95b-906cda524044 · outbound
Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Improving LLM General Preference Alignment via Optimistic Online Mirror Descent
Reference 94
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