Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-13T04:55:10.714993Z
Paper Citation Record · LEDGER
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference
As of 4 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2605.12001.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+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
Reference resolution
49 of 49 outbound references displayed
- verified exact8
- verified fuzzy40
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 15ff23cb-dbe2-4adb-98da-d4f826bfbc56 · outbound
This paper cites GPT-4 Technical Report.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference GPT-4 Technical Report
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T04:57:17.470973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f265873d-1480-41a8-90c9-ee90f207ca3b · outbound
This paper cites Mobile edge intelligence for large language models: A contemporary survey.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Mobile edge intelligence for large language models: A contemporary survey
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.059416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation cf41231d-41f2-4f14-9204-768f27e3786e · outbound
This paper cites Qwen3 Technical Report.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Qwen3 Technical Report
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T04:57:17.473628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c55acc65-c584-42f8-8316-9a58ed5669e7 · outbound
This paper cites [Online].
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference [Online]
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.072713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation fb389614-4690-4e73-baa5-2d47ea89152e · outbound
This paper cites EdgeShard: Efficient LLM inference via collaborative edge computing.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference EdgeShard: Efficient LLM inference via collaborative edge computing
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.061475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 2f214ab3-b958-4376-b9e5-f8321f06b481 · outbound
This paper cites CE-CoLLM: Efficient and adaptive large language models through cloud-edge collaboration.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference CE-CoLLM: Efficient and adaptive large language models through cloud-edge collaboration
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.067495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b3f21f8f-53bf-4861-b8fb-b010485f6ea0 · outbound
This paper cites Serving long-context LLMs at the mobile edge: Test-time reinforcement learning-based model caching and inference offloading.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Serving long-context LLMs at the mobile edge: Test-time reinforcement learning-based model caching and inference offloading
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.057422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e1bbacaa-6a1a-45d0-85bc-c83b54a05912 · outbound
This paper cites Neurosurgeon: Collaborative intelligence between the cloud and mobile edge.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Neurosurgeon: Collaborative intelligence between the cloud and mobile edge
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.065580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 190ade42-4491-4278-b729-fb5d927b3cc5 · outbound
This paper cites SPINN: Synergistic progressive inference of neural networks over device and cloud.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference SPINN: Synergistic progressive inference of neural networks over device and cloud
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.063391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d8771c3d-ae94-4251-a1d5-49e54b25ebba · outbound
This paper cites Edge intelligence: On-demand deep learning model co-inference with device-edge synergy.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Edge intelligence: On-demand deep learning model co-inference with device-edge synergy
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.069267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation bd9c1a9b-d458-4fb1-a232-404c70fd4680 · outbound
This paper cites Fast inference from transform- ers via speculative decoding.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Fast inference from transform- ers via speculative decoding
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.071079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 42806ac7-c126-41fc-887e-9f56577700e0 · outbound
This paper cites Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T04:57:17.476800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f541aa22-122b-4307-b015-7eae021e9b03 · outbound
This paper cites EAGLE: Speculative sampling requires rethinking feature uncertainty.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference EAGLE: Speculative sampling requires rethinking feature uncertainty
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.124118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d23dfc9f-83c8-48fc-b090-12fc25e99541 · outbound
This paper cites Conformal Risk Control.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Conformal Risk Control
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.128017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 761400a9-1323-407e-b3c3-20916344518a · outbound
This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.122510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation fa61c060-33fb-4f0b-8fd3-91b400114ebb · outbound
This paper cites Mixture-of-experts with expert choice routing.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Mixture-of-experts with expert choice routing
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.114269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c241040f-2485-4010-a806-ce725e6940a0 · outbound
This paper cites R2-T2: Re-routing in test-time for multimodal mixture-of-experts.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference R2-T2: Re-routing in test-time for multimodal mixture-of-experts
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.116037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0689cb9f-ddd7-44e6-affd-a4a7fa3255ce · outbound
This paper cites Routing to the expert: Efficient reward-guided ensemble of large language models.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Routing to the expert: Efficient reward-guided ensemble of large language models
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.110725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e4668002-10eb-4e02-a705-e69b90b61a04 · outbound
This paper cites TriSpec: Ternary speculative decoding via lightweight proxy verification.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference TriSpec: Ternary speculative decoding via lightweight proxy verification
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T04:57:17.492838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f7b20bed-b0ef-409e-b0f6-812a9aaf167b · outbound
This paper cites RouteLLM: Learning to route LLMs from preference data.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference RouteLLM: Learning to route LLMs from preference data
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.112667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 308ba25e-18dd-4a26-bd08-8588914a5a3d · outbound
This paper cites Hybrid LLM: Cost-efficient and quality-aware query routing.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Hybrid LLM: Cost-efficient and quality-aware query routing
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.117683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 455b1ac6-7b99-49a4-b803-a8da6a6a78fd · outbound
This paper cites GraphRouter: A graph-based router for LLM selections.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference GraphRouter: A graph-based router for LLM selections
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.119252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 18a3b493-c378-401c-bde5-dfd6c852e32f · outbound
This paper cites TensorOpera router: A multi-model router for efficient LLM inference.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference TensorOpera router: A multi-model router for efficient LLM inference
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.103706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 83691a8f-78d3-4f73-a9c6-bcc3436cd048 · outbound
This paper cites BEST-Route: Adaptive LLM routing with test-time optimal compute.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference BEST-Route: Adaptive LLM routing with test-time optimal compute
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.105395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 51515452-a2f6-4008-ba2a-e395f8760935 · outbound
This paper cites Dynamic quality-latency aware routing for LLM inference in wireless edge-device networks.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Dynamic quality-latency aware routing for LLM inference in wireless edge-device networks
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.107059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation af8e9acb-6de3-4923-95e4-9035c5a10881 · outbound
This paper cites Smoothie: Label free language model routing.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Smoothie: Label free language model routing
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.098051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 7d74a832-3e76-4510-bafc-9070a8a8cc1d · outbound
This paper cites Capability instruction tuning.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Capability instruction tuning
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.096365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 14d50475-205a-41c3-ae73-b9872ad2cc11 · outbound
This paper cites FrugalGPT: How to use large language models while reducing cost and improving performance.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference FrugalGPT: How to use large language models while reducing cost and improving performance
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.100174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 86c63519-d47c-4781-9401-4f919a19a557 · outbound
This paper cites Quality-of- service aware LLM routing for edge computing with multiple experts.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Quality-of- service aware LLM routing for edge computing with multiple experts
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.093069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f0567538-1a9e-4a2a-9d1b-af2e4bb41812 · outbound
This paper cites EdgeBERT: Sentence-level energy optimizations for latency-aware multi-task NLP inference.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference EdgeBERT: Sentence-level energy optimizations for latency-aware multi-task NLP inference
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.091327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation dcee0767-2e21-4500-ad0a-c78b36493ba5 · outbound
This paper cites SlimCaching: Edge caching of mixture-of-experts for distributed inference.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference SlimCaching: Edge caching of mixture-of-experts for distributed inference
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.094755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0594c596-e7bc-4f53-a5f1-2ab81b113684 · outbound
This paper cites WDMoE: Wireless distributed mixture of experts for large language models.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference WDMoE: Wireless distributed mixture of experts for large language models
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.101918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 63b726f6-cf3c-48ad-8015-20df888166d2 · outbound
This paper cites Stable-MoE: Lyapunov-based token routing for distributed mixture-of-experts training over edge networks.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Stable-MoE: Lyapunov-based token routing for distributed mixture-of-experts training over edge networks
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.108798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ddcdf4c8-07b9-475d-acad-1739c8a8d672 · outbound
This paper cites CSGO: Generalized optimization for cold start in wireless collaborative edge LLM systems.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference CSGO: Generalized optimization for cold start in wireless collaborative edge LLM systems
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.120906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation bb341d7f-f58b-4820-bcbe-7e989432030a · outbound
This paper cites WISV: Wireless-Informed Semantic Verification for Distributed Speculative Decoding in Device-Edge LLM Inference.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference WISV: Wireless-Informed Semantic Verification for Distributed Speculative Decoding in Device-Edge LLM Inference
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T04:57:17.486628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0d7a7e7a-9dda-41f3-8709-e1e49a1a87b3 · outbound
This paper cites MoE 2: Optimizing collaborative inference for edge large language models.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference MoE 2: Optimizing collaborative inference for edge large language models
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.126393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 64efb0cc-825e-4962-bb90-420d092213be · outbound
This paper cites Large language model-empowered resource allocation in intent-driven wireless networks.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Large language model-empowered resource allocation in intent-driven wireless networks
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.087904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation dae20886-187f-452e-9f08-300210776e87 · outbound
This paper cites Em- bedLLM: Learning compact representations of large language models.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Em- bedLLM: Learning compact representations of large language models
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.080889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c084d6aa-459e-4a2a-a6c7-7599b344f32b · outbound
This paper cites RouterDC: Query- based router by dual contrastive learning for assembling large language models.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference RouterDC: Query- based router by dual contrastive learning for assembling large language models
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.082557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0418fa92-1de5-4951-8de0-f957d99aed26 · outbound
This paper cites RadialRouter: Structured representation for efficient and robust large language models routing.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference RadialRouter: Structured representation for efficient and robust large language models routing
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.084324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 93039f0b-2a2b-4c3c-bb59-1c7013b3b120 · outbound
This paper cites V ovk, A.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference V ovk, A
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.085879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 240f001e-9ee4-48ba-aedd-99c1a94df4e2 · outbound
This paper cites Learn then test: Calibrating predictive algorithms to achieve risk control.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Learn then test: Calibrating predictive algorithms to achieve risk control
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.089664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 52991f1a-5421-46a9-b7f7-d5594e0162ae · outbound
This paper cites Measuring massive multitask language understand- ing.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Measuring massive multitask language understand- ing
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.074440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 97bcfbd4-9c15-4b6d-b65d-9f7aaa867b1c · outbound
This paper cites Challenging BIG-Bench tasks and whether chain-of- thought can solve them.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Challenging BIG-Bench tasks and whether chain-of- thought can solve them
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.076663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c44a0e89-73e6-4114-84e2-0302b91c2dc6 · outbound
This paper cites GPQA: A graduate-level Google-proof Q&A bench- mark.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference GPQA: A graduate-level Google-proof Q&A bench- mark
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T11:17:41.079097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 2b458132-c6c7-419c-9210-b4280c6beb44 · outbound
This paper cites Program Synthesis with Large Language Models.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference Program Synthesis with Large Language Models
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T04:57:17.489591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 7f523842-ef10-4c3c-b102-4ab37c63ebfe · outbound
This paper cites He, B., Yin, L., Zhen, H.-L., Liu, S., Wu, H., Zhang, X., Yuan, M., and Ma, C.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference He, B., Yin, L., Zhen, H.-L., Liu, S., Wu, H., Zhang, X., Yuan, M., and Ma, C
Reference 47
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T04:57:17.496358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0f7552cf-d460-40c1-9181-b374aaa5116b · outbound
This paper cites RouterBench: A Benchmark for Multi-LLM Routing System.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference RouterBench: A Benchmark for Multi-LLM Routing System
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T10:47:31.315661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 137ff050-c86e-4fbe-ba62-716235530755 · outbound
This paper cites LLMRank: Understanding LLM strengths for model routing.
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference LLMRank: Understanding LLM strengths for model routing
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T04:57:17.483481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Pith citing papers
No inbound Pith citation observations are available.