Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T16:50:18.944756Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 97 of 97 outbound references and 0 inbound Pith citation observations for arXiv:2508.17826.
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 2026-08-05T16:50:18.944756Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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
97 of 97 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation bd6eb48a-7703-4850-a452-608763ee58ac · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Chhabria, Mateus Fogaça, Soheil Hashemi, Abdelrahman Hosny, Andrew B
Reference 1
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LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
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LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
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LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
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Observation 5afa6cd1-f628-423d-b45a-e411e9d2a0af · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
Reference 13
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Observation 60f4175e-9e39-4929-8ed0-d358e96a8d8c · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
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Observation cfd569a4-ae0b-470b-86c2-5edf1db54722 · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
Reference 16
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Observation 5f418a47-b30d-4a03-86a6-2636bf2d35fc · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 17
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Observation 01f76450-b507-477a-8a28-e00c08123bab · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
Reference 18
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Observation 10fc043f-ef02-4e4a-a3d5-9cb0a189054b · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
Reference 19
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Unavailable: canonical work link unavailable.
Observation c638c81e-3975-476c-a857-daf70836319e · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
Reference 20
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Unavailable: canonical work link unavailable.
Observation 575245c1-d281-4940-ab54-18d7d4a427e7 · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
Reference 21
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Unavailable: canonical work link unavailable.
Observation 7c9435cc-003a-4510-893f-90adf6b4a974 · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
Reference 22
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Unavailable: canonical work link unavailable.
Observation b9aed9f0-b316-43bb-a546-65227d6582a2 · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Fast Graph Representation Learning with PyTorch Geometric
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Observation bdae9481-1ec8-4ee3-bca1-3be78293b63d · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
Reference 24
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Observation e662286d-973b-41df-b4ce-c71f7c1b3a6b · outbound
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Observation 881feb75-7c8d-4d96-b18c-7bc9c855bffb · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
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Observation fb319576-ca1b-4a3c-8bfb-23fe3795ef45 · outbound
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Observation 3f071210-82cf-47ad-879e-2497d5cb7a5f · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Neutrino Production via $e^-e^+$ Collision at $Z$-boson Peak
Reference 28
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Observation 0c207ce5-da7f-4139-be86-20b6a45717cd · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
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Observation ee7d486b-55de-418e-8b99-88b35c66c6a0 · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
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Observation 324fe328-cfa9-4153-a5b9-fa35e85de9f7 · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
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Observation 5b6b3dc6-5ac7-4a3b-a906-7ee21ff5f846 · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
Reference 32
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Observation cbca51d6-17ef-422e-b0d7-1186aac7401b · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
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Observation 119a0bba-6c01-4237-bf07-2acf328150ae · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
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Observation a70e27f5-a921-4b5c-9dc0-b6af8e03993d · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
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Observation 22b9b7ed-222a-4535-8dff-5eb2d86bdf2b · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow DenseNet: Implementing Efficient ConvNet Descriptor Pyramids
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Observation d6cd2809-0134-40aa-b685-d0c93adb58a0 · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
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Observation 09fcefbf-ef21-4539-92a9-6a99b7c8a03a · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
Reference 38
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Observation 97c0fbb1-5a70-460b-bdbe-a856169b3f21 · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
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Observation 0e579e81-adec-4375-a1f5-0f3316524390 · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
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Observation 69350f34-b83c-43da-b1c4-86c482967b79 · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
Reference 41
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Observation 8a09c4dc-8a81-489a-9ce4-5aa19568d22a · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
Reference 42
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Observation 9b2cfa6c-cf2d-4608-ae68-3c2d2a84a474 · outbound
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Reference 43
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Observation 8a1d0fad-9a13-4e62-b505-130bb8bba837 · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell
Reference 44
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Observation 5a72c830-f24e-4fde-a7c8-98baa22917fe · outbound
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Observation 0930fbb6-a9ab-4aff-8a17-ef5230f5fa63 · outbound
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Reference 46
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Observation fda55e15-c431-4509-aa29-41987d7b1986 · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Reference 48
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Reference 49
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LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
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LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
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Reference 54
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Observation 6fd3d451-364c-4593-b1a6-b97a27b279ae · outbound
LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow Unresolved cited work
Reference 55
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LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow RoBERTa: A Robustly Optimized BERT Pretraining Approach
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Reference 64
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Reference 69
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Reference 75
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Reference 78
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Observation ad6d29ea-52d4-42e0-85c0-28cce4e42899 · outbound
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Reference 80
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Reference 92
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Reference 95
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