Paper Citation Record · LEDGER

LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 45 inbound Pith citation observations for arXiv:2306.02561.

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

pith.paper-citation-record.v1
2306.02561 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 45 of 45 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:40:07.766237Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:11.019242Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9a2cd744-77f5-4e1d-92ce-a88234198074 · inbound

RouteLLM: Learning to Route LLMs with Preference Data cites this paper.

RouteLLM: Learning to Route LLMs with Preference Data LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:27:40.609975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 906c4d2c-0195-49fb-8b93-d3d0fdb74bd5 · inbound

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling cites this paper.

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:42:23.593082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4e442fa7-fe4f-40bf-9439-cd1ae760b253 · inbound

Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs cites this paper.

Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-17T16:18:01.631525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cca31f8b-28f7-4787-952c-a5dcb5af890a · inbound

ORI: O Routing Intelligence cites this paper.

ORI: O Routing Intelligence LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T19:40:07.766237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46f4965b-a0fd-4222-977b-7393c212c9cf · inbound

Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers cites this paper.

Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:14:57.453781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 49450460-5ef7-4d2f-872b-e5b496c3bb6f · inbound

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead cites this paper.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:11:17.439648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6597a11-85a1-48dc-8b7c-a64ae0802d7d · inbound

Bayesian Optimization for Enhanced Language Models: Optimizing Acquisition Functions cites this paper.

Bayesian Optimization for Enhanced Language Models: Optimizing Acquisition Functions LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:26.329866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69ef58c9-a619-4f44-aec4-2f4dc4773214 · inbound

Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing cites this paper.

Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:08.836617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bc6cbd6-ce91-4ebe-b662-afd965667325 · inbound

How Much Backtracking is Enough? Exploring the Interplay of SFT and RL in Enhancing LLM Reasoning cites this paper.

How Much Backtracking is Enough? Exploring the Interplay of SFT and RL in Enhancing LLM Reasoning LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:21.788871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83ab8c1a-22ac-4a8f-9eac-3cb3de3b8b80 · inbound

RewardAnything: Generalizable Principle-Following Reward Models cites this paper.

RewardAnything: Generalizable Principle-Following Reward Models LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T11:04:07.031741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b897ca20-8400-4e57-94b6-ba9e268f6016 · inbound

Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques cites this paper.

Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T05:56:56.989615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5d7070e-ea2d-45b0-9f0f-1f8dc7e67019 · inbound

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality cites this paper.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.707387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7793a646-d39c-4b91-93d5-06c8be2ec339 · inbound

Leveraging LLMs to Evaluate Usefulness of Document cites this paper.

Leveraging LLMs to Evaluate Usefulness of Document LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:11:38.299577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b271064-6b92-40f7-b857-bd7ba9331e1c · inbound

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models cites this paper.

MEMETRON: Metaheuristic Mechanisms for Test-time Response Optimization of Large Language Models LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:47.699915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38c27a63-7aab-4904-91fd-52fa2f6f72cc · inbound

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length cites this paper.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:30:43.639675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 483fd1da-e1d9-4aa9-9052-affc7e5e6bf2 · inbound

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute cites this paper.

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:27.625864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 908b419e-cb3d-45e8-b949-634ed9bfb66c · inbound

How to Train a Leader: Hierarchical Reasoning in Multi-Agent LLMs cites this paper.

How to Train a Leader: Hierarchical Reasoning in Multi-Agent LLMs LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T18:12:58.673023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36a2f02c-f215-46ad-bd40-b0da709f528f · inbound

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement cites this paper.

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:30:46.055962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a88aacd8-5d3b-4c5d-b1d6-7c35231fde31 · inbound

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models cites this paper.

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T17:15:15.279206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c622c49-da51-4300-b926-d025b53eb3b7 · inbound

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units cites this paper.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T16:18:45.844235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aae3b31e-57a4-4630-97df-095af7344139 · inbound

DRF: LLM-AGENT Dynamic Reputation Filtering Framework cites this paper.

DRF: LLM-AGENT Dynamic Reputation Filtering Framework LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T05:04:52.686656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9747c1c0-3807-410f-bf75-e47dc570bee1 · inbound

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference cites this paper.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T22:03:01.998475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7791bab7-543f-4490-9da7-f376ccb0d767 · inbound

StatEval: A Comprehensive Benchmark for Large Language Models in Statistics cites this paper.

StatEval: A Comprehensive Benchmark for Large Language Models in Statistics LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T10:36:23.672689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5529df80-0829-4460-bc9d-24cbda953884 · inbound

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process cites this paper.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.743646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 34049d38-ef2b-4938-bc4e-59cb377bcd12 · inbound

Context Learning for Multi-Agent Discussion cites this paper.

Context Learning for Multi-Agent Discussion LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:10:45.520815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4c94298c-68e7-4207-a626-7e755e893ae6 · inbound

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines cites this paper.

When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T17:52:54.761095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8504df3-7680-4447-b66e-8e1d4ba037ec · inbound

FREE-Switch: Frequency-based Dynamic LoRA Switch for Style Transfer cites this paper.

FREE-Switch: Frequency-based Dynamic LoRA Switch for Style Transfer LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:36:07.060071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c0b067d5-8037-41d9-9a46-d834587c9638 · inbound

Reducing Hallucination in Enterprise AI Workflows via Hybrid Utility Minimum Bayes Risk (HUMBR) cites this paper.

Reducing Hallucination in Enterprise AI Workflows via Hybrid Utility Minimum Bayes Risk (HUMBR) LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:40:58.908052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6d191fb7-be81-4ebc-a3f4-4b1be9cc4839 · inbound

Privacy-Preserving LLMs Routing cites this paper.

Privacy-Preserving LLMs Routing LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:32:51.612098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 814a8f01-eb21-4054-8780-a411504833ac · inbound

CADMAS-CTX: Contextual Capability Calibration for Multi-Agent Delegation cites this paper.

CADMAS-CTX: Contextual Capability Calibration for Multi-Agent Delegation LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:36:02.123951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 74e8d109-16ab-402f-8277-8a449cbbda41 · inbound

Response Time Enhances Alignment with Heterogeneous Preferences cites this paper.

Response Time Enhances Alignment with Heterogeneous Preferences LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 91

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:46:00.166854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4e4b216f-ee15-44a4-9083-a507888d1e62 · inbound

TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination cites this paper.

TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T18:02:42.355523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7e315b3f-ef97-41f6-936b-b235ca51369c · inbound

LRanker: LLM Ranker for Massive Candidates cites this paper.

LRanker: LLM Ranker for Massive Candidates LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T10:33:18.835695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1aaf0e39-0fb3-47c8-9a66-7389d7fc0356 · inbound

Online Pandora's Box for Contextual LLM Cascading cites this paper.

Online Pandora's Box for Contextual LLM Cascading LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 70

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:37:14.307640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c35e507b-9b72-4fa9-9768-bb6a55d13dea · inbound

RouteJudge: An Open Platform for Reproducible and Preference-Aware LLM Routing cites this paper.

RouteJudge: An Open Platform for Reproducible and Preference-Aware LLM Routing LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:19:13.486216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cfa73881-c34d-4d1d-a5f2-845c3898e66e · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:50:11.020770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 62b80367-163c-4fcd-bba9-360fedd7756d · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-02T10:16:44.905476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e46e67cd-140b-4bef-8264-3858b6cb8fa1 · inbound

When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models cites this paper.

When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:19:53.623152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 292be8c5-a6da-402a-8463-7f6c9041b839 · inbound

SWE-Router: Routing in Multi-turn Agentic Software Engineering Tasks cites this paper.

SWE-Router: Routing in Multi-turn Agentic Software Engineering Tasks LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T18:37:16.509464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a2c8d4ee-c42e-4dd3-a3ac-3723e7ed33ac · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 277

Resolution: unresolved; no resolver link, observed 2026-07-11T13:53:36.775836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aabd426a-27ae-4397-b967-f579a7284acf · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 278

Resolution: unresolved; no resolver link, observed 2026-08-02T08:41:04.832285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8787761-f6cc-4b33-866b-02215d92ab96 · inbound

Are Diversity Metrics Measuring Diversity? A Capability-Controlled Audit of Majority-Vote Gain in LLM Ensembles cites this paper.

Are Diversity Metrics Measuring Diversity? A Capability-Controlled Audit of Majority-Vote Gain in LLM Ensembles LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T09:29:44.637481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0adee1f2-c634-4bcc-936b-efa9db5f12d7 · inbound

Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization cites this paper.

Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T05:09:54.163495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42958fc3-d9e3-4267-a06b-abbfc2a90ab8 · inbound

Opti-Q: A Constraint-Based Optimization Framework for Multi-LLM Question Planning cites this paper.

Opti-Q: A Constraint-Based Optimization Framework for Multi-LLM Question Planning LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T11:01:29.440785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7957c398-a41b-47a6-8971-22d0b63af353 · inbound

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes cites this paper.

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-04T07:49:39.975819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.