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Paper Citation Record · LEDGER

Efficient Guided Generation for Large Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 100 inbound Pith citation observations for arXiv:2307.09702.

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

pith.paper-citation-record.v1
2307.09702 v4

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 100 of 154 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:30:20.142062Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

20
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 93dd1736-a6cf-40c4-9b62-8c1f8a280baa · inbound

XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models cites this paper.

XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models Efficient Guided Generation for Large Language Models

Reference 46

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Observation f1bf5ec1-57c4-4466-914a-974bbb398309 · inbound

Ontology-Constrained Generation of Domain-Specific Clinical Summaries cites this paper.

Ontology-Constrained Generation of Domain-Specific Clinical Summaries Efficient Guided Generation for Large Language Models

Reference 34

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Observation 1ac84e9b-9148-4bee-9bf9-bac19165c028 · inbound

Byte BPE Tokenization as an Inverse string Homomorphism cites this paper.

Byte BPE Tokenization as an Inverse string Homomorphism Efficient Guided Generation for Large Language Models

Reference 15

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Observation 0ad58d31-0587-4c36-812d-1b7baf47fe0c · inbound

From Language Models over Tokens to Language Models over Characters cites this paper.

From Language Models over Tokens to Language Models over Characters Efficient Guided Generation for Large Language Models

Reference 32

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source=arxiv_source observed=2026-08-11T22:18:15.410786Z digest=sha256:0b435401bdf759ea4318f4fd35fc11b7f4829e6fd7ed58ef77d311a73b5f209b

Observation 7405377b-35a3-499f-a8db-04271dbbe39e · inbound

ORIGAMI: A generative transformer architecture for predictions from semi-structured data cites this paper.

ORIGAMI: A generative transformer architecture for predictions from semi-structured data Efficient Guided Generation for Large Language Models

Reference 2023

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Observation f777e1a2-9937-45ab-8e9f-60fd64c02036 · inbound

JSONSchemaBench: A Rigorous Benchmark of Structured Outputs for Language Models cites this paper.

JSONSchemaBench: A Rigorous Benchmark of Structured Outputs for Language Models Efficient Guided Generation for Large Language Models

Reference 36

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Observation 13ada83f-d87c-4bf4-9ec3-2ac2f048fe0e · inbound

FREYR: A Framework for Recognizing and Executing Your Requests cites this paper.

FREYR: A Framework for Recognizing and Executing Your Requests Efficient Guided Generation for Large Language Models

Reference 47

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Observation bb433a3e-b17f-4e52-be3a-f2a778057cc2 · inbound

Querying Databases with Function Calling cites this paper.

Querying Databases with Function Calling Efficient Guided Generation for Large Language Models

Reference 28

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Observation f3d8a8e2-52cb-49fe-a3b7-e1345f872128 · inbound

FoQA: A Faroese Question-Answering Dataset cites this paper.

FoQA: A Faroese Question-Answering Dataset Efficient Guided Generation for Large Language Models

Reference 25

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Observation d55a45ac-06d7-478c-af76-3193866cd259 · inbound

Feeding LLM Annotations to BERT Classifiers at Your Own Risk cites this paper.

Feeding LLM Annotations to BERT Classifiers at Your Own Risk Efficient Guided Generation for Large Language Models

Reference 35

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Observation 95f035d5-c4fc-49f9-b600-34345f0782fc · inbound

Robotic Task Ambiguity Resolution via Natural Language Interaction cites this paper.

Robotic Task Ambiguity Resolution via Natural Language Interaction Efficient Guided Generation for Large Language Models

Reference 30

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Observation cf94dc3c-7b6e-4887-a868-50d941f05780 · inbound

Hallucination by Code Generation LLMs: Taxonomy, Benchmarks, Mitigation, and Challenges cites this paper.

Hallucination by Code Generation LLMs: Taxonomy, Benchmarks, Mitigation, and Challenges Efficient Guided Generation for Large Language Models

Reference 58

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Observation 1ee1d440-fe0e-4c7b-ac33-e4a82406bad1 · inbound

Semantic Probabilistic Control of Language Models cites this paper.

Semantic Probabilistic Control of Language Models Efficient Guided Generation for Large Language Models

Reference 74

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source=arxiv_source observed=2026-08-16T04:10:19.832740Z digest=sha256:128cd4b7f2d27eab5c3bf6c076f2668ee5278e7185291bdefbdf5fdcf892bd0c

Observation d4f0c4b0-a28d-4623-a992-d1a344ab7e21 · inbound

gec-metrics: A Unified Library for Grammatical Error Correction Evaluation cites this paper.

gec-metrics: A Unified Library for Grammatical Error Correction Evaluation Efficient Guided Generation for Large Language Models

Reference 40

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source=arxiv_source observed=2026-08-07T14:17:48.543946Z digest=sha256:6f39de07db1af36b1253f0656a8a366b2d2defb4c51646811f8ada7e05de0fc6

Observation 447742fb-80e2-40d9-b8be-1684ba3aa862 · inbound

ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation cites this paper.

ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation Efficient Guided Generation for Large Language Models

Reference 114

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source=arxiv_source observed=2026-08-07T13:20:29.947261Z digest=sha256:5994c05575f7201cfd0a6f3b8e22fa402c57b3f3c1fd9b3ca799b1d23c3892cf

Observation 503e87be-a258-434d-801e-ad45b73a6dfd · inbound

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay cites this paper.

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay Efficient Guided Generation for Large Language Models

Reference 28

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source=arxiv_source observed=2026-08-07T13:04:35.566360Z digest=sha256:0ae685327879dc0027b8cc5227c7a6ef19ae2d1d1330629ac2a74f8787a41a02

Observation 9d0e6bcb-64a0-46c8-bc0c-3147dff89d0b · inbound

A Practical Approach for Building Production-Grade Conversational Agents with Workflow Graphs cites this paper.

A Practical Approach for Building Production-Grade Conversational Agents with Workflow Graphs Efficient Guided Generation for Large Language Models

Reference 33

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Observation 4b55b93f-a3d6-49ba-b98d-114381e5f1c7 · inbound

DINGO: Constrained Inference for Diffusion LLMs cites this paper.

DINGO: Constrained Inference for Diffusion LLMs Efficient Guided Generation for Large Language Models

Reference 28

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source=arxiv_source observed=2026-08-07T12:58:38.183103Z digest=sha256:06aa5b2ca5f9486ca97e7b227fe46f3e38f7e41e3b56f2143f613524cbca821b

Observation 64d10d41-cdc5-4830-8073-679f19c98b28 · inbound

Earley-Driven Dynamic Pruning for Efficient Structured Decoding cites this paper.

Earley-Driven Dynamic Pruning for Efficient Structured Decoding Efficient Guided Generation for Large Language Models

Reference 36

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source=arxiv_source observed=2026-08-07T12:00:54.307847Z digest=sha256:020770201132335f19604a026ef984732f6920e450b47149e67361eb5aa087bb

Observation 9a04409e-10c3-4495-b568-ad4aff13a3c8 · inbound

Steering LLM Thinking with Budget Guidance cites this paper.

Steering LLM Thinking with Budget Guidance Efficient Guided Generation for Large Language Models

Reference 23

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Observation 15f52585-44cd-481f-9472-e8187cc6ec27 · inbound

Making Logic a First-Class Citizen in Generative ML for Networking cites this paper.

Making Logic a First-Class Citizen in Generative ML for Networking Efficient Guided Generation for Large Language Models

Reference 60

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local_arxiv, observed 2026-05-19T07:27:09.077206Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T07:24:37.618002Z digest=sha256:5c939905fbb2702d3d847ca9c868584df755fcb197c3c313fa1e99ecbe5b002a

Observation 501b3037-ce44-4726-939c-47efc781a8c8 · inbound

Representing Prompting Patterns with PDL: Compliance Agent Case Study cites this paper.

Representing Prompting Patterns with PDL: Compliance Agent Case Study Efficient Guided Generation for Large Language Models

Reference 16

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source=arxiv_source observed=2026-08-06T19:09:54.987291Z digest=sha256:ad622b3a218c580562c1b17b81738fc76098981f15f867d3326e08881c364b39

Observation cda715fa-9972-4be9-962f-2edccf6ac70e · inbound

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing cites this paper.

Audit, Alignment, and Optimization of LM-Powered Subroutines with Application to Public Comment Processing Efficient Guided Generation for Large Language Models

Reference 37

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source=arxiv_source observed=2026-08-06T18:33:05.961813Z digest=sha256:ef1b22013d5f8d17ede9573b110a83360516c23e0237a496ff236a433aaf7633

Observation a24efe9f-0dac-4530-aea6-07249f8278ff · inbound

ALIGN: Prompt-based Attribute Alignment for Reliable, Responsible, and Personalized LLM-based Decision-Making cites this paper.

ALIGN: Prompt-based Attribute Alignment for Reliable, Responsible, and Personalized LLM-based Decision-Making Efficient Guided Generation for Large Language Models

Reference 38

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source=arxiv_source observed=2026-08-06T18:11:18.141402Z digest=sha256:68a9e79a832b616f48656253156232ce32d0e678cdf433c6bfc231833a88ab99

Observation e16b7d8e-d2a1-4f5c-a851-3c82fa963f50 · inbound

Dr.Copilot: A Multi-Agent Prompt Optimized Assistant for Improving Patient-Doctor Communication in Romanian cites this paper.

Dr.Copilot: A Multi-Agent Prompt Optimized Assistant for Improving Patient-Doctor Communication in Romanian Efficient Guided Generation for Large Language Models

Reference 43

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source=arxiv_source observed=2026-08-06T17:17:24.830319Z digest=sha256:4b005fb3546f2649f7cdc97a2b533bf88540136763da744cbbb9dfd27801670c

Observation 02770c25-a16a-4c54-b2be-c8e15336b41e · inbound

Syntax Repair as Language Intersection cites this paper.

Syntax Repair as Language Intersection Efficient Guided Generation for Large Language Models

Reference 39

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Observation bd6847dc-4fd1-4e36-83a2-623ff82a28b3 · inbound

Conflicting narratives and polarization on social media cites this paper.

Conflicting narratives and polarization on social media Efficient Guided Generation for Large Language Models

Reference 10

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Observation 2bb87d2a-e2ba-450b-a4cf-2e4a22f12a2c · inbound

Beyond Context Limits: Subconscious Threads for Long-Horizon Reasoning cites this paper.

Beyond Context Limits: Subconscious Threads for Long-Horizon Reasoning Efficient Guided Generation for Large Language Models

Reference 11

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source=pdf_text observed=2026-08-06T15:06:18.591437Z digest=sha256:bc4c8ba9c00fd3716de6acbfe63535c0c85d1a541cd6927b74b0d116e9009501

Observation baeadfa7-3a85-4694-bd16-36231b99aa18 · inbound

Hybrid Annotation for Propaganda Detection: Integrating LLM Pre-Annotations with Human Intelligence cites this paper.

Hybrid Annotation for Propaganda Detection: Integrating LLM Pre-Annotations with Human Intelligence Efficient Guided Generation for Large Language Models

Reference 34

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source=arxiv_source observed=2026-08-15T18:19:18.714563Z digest=sha256:c874c4cd952812368b0b3b6063581a827dfae0588e309f2fff64516e58aa17d7

Observation bb5258b7-e136-43be-956e-618bcf07e180 · inbound

Efficient Speculative Decoding for Llama at Scale: Challenges and Solutions cites this paper.

Efficient Speculative Decoding for Llama at Scale: Challenges and Solutions Efficient Guided Generation for Large Language Models

Reference 19

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source=pdf_text observed=2026-08-05T21:38:54.851579Z digest=sha256:b11fb176662b3752d5159738111bbe5345a7966d8e44163d012207646eee03d1

Observation aa94b9c7-7773-4fc5-87b2-d70301573f3d · inbound

Correctness-Guaranteed Code Generation via Constrained Decoding cites this paper.

Correctness-Guaranteed Code Generation via Constrained Decoding Efficient Guided Generation for Large Language Models

Reference 8

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Observation 4435ace5-2279-4e38-8984-853520a24e71 · inbound

"Where does it hurt?" -- Dataset and Study on Physician Intent Trajectories in Doctor Patient Dialogues cites this paper.

"Where does it hurt?" -- Dataset and Study on Physician Intent Trajectories in Doctor Patient Dialogues Efficient Guided Generation for Large Language Models

Reference 33

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source=pdf_text observed=2026-08-05T16:01:35.544644Z digest=sha256:29275eacbd09f5008a26ad40d29baf20ba3ec66a9dd9076197e08169a21cbf24

Observation 525e55b3-e720-4d45-a9fc-f2f1903afe93 · inbound

Research Challenges in Relational Database Management Systems for LLM Queries cites this paper.

Research Challenges in Relational Database Management Systems for LLM Queries Efficient Guided Generation for Large Language Models

Reference 48

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source=pdf_text observed=2026-08-05T14:46:05.991324Z digest=sha256:c3b72c3f92fbae6b77f96c0dc73508ca93ac32687570d5cc79aa128dc3dfcfc5

Observation fcab3d21-9d92-4541-a4b8-23d96da255e3 · inbound

RefineStat: Efficient Exploration for Probabilistic Program Synthesis cites this paper.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis Efficient Guided Generation for Large Language Models

Reference 56

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local_arxiv, observed 2026-05-18T20:31:50.588497Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-18T20:28:26.767266Z digest=sha256:66e167f0960fe77d40a8fbc4b05c647a6199832a41c660eeeb9d1a3d8918d45b

Observation 204c1611-0db6-448e-8d9d-3a495972d7b5 · inbound

Constrained Decoding for Safe Robot Navigation Foundation Models cites this paper.

Constrained Decoding for Safe Robot Navigation Foundation Models Efficient Guided Generation for Large Language Models

Reference 10

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local_arxiv, observed 2026-05-18T19:11:47.490957Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4a7854cd-f4c8-4a56-a18d-7bb25daee620 · inbound

Guided Decoding and Its Critical Role in Retrieval-Augmented Generation cites this paper.

Guided Decoding and Its Critical Role in Retrieval-Augmented Generation Efficient Guided Generation for Large Language Models

Reference 4

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source=arxiv_source observed=2026-08-15T16:17:20.351332Z digest=sha256:09144d61965996873d3985657dc1fa752fb11153a313daf02f667e0251a0bde1

Observation f70639e2-9c11-43cf-bb7d-d8db4aad2398 · inbound

Verbalized Algorithms: Classical Algorithms are All You Need (Mostly) cites this paper.

Verbalized Algorithms: Classical Algorithms are All You Need (Mostly) Efficient Guided Generation for Large Language Models

Reference 14

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local_arxiv, observed 2026-05-18T17:21:40.078388Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T17:19:42.360198Z digest=sha256:2bd40f91626d8c49207341ea202f28ffe9b330d50b0e038c841d4e90f6b20b23

Observation c11ee7e8-dd08-41d0-a2ff-13f660f7ba28 · inbound

Verbalized Algorithms: Classical Algorithms are All You Need (Mostly) cites this paper.

Verbalized Algorithms: Classical Algorithms are All You Need (Mostly) Efficient Guided Generation for Large Language Models

Reference 2017

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no resolver link, observed 2026-08-04T21:15:58.690168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:15:58.690168Z digest=sha256:fc8fd35e9cd3d45cbb3c6558df26b0bde54930a7def16b132b2c856034e32996

Observation 581652d2-d8c2-4e7f-bc89-0d41f085343f · inbound

EditDuet: A Multi-Agent System for Video Non-Linear Editing cites this paper.

EditDuet: A Multi-Agent System for Video Non-Linear Editing Efficient Guided Generation for Large Language Models

Reference 2023

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no resolver link, observed 2026-08-04T17:43:03.944148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:43:03.944148Z digest=sha256:82bc958212767602fe29a07f5c99c7094c00efa937d5240c8e4e1aff5e0c0ee2

Observation 3b820870-37f7-4edd-b6c3-ff8c64d1f98c · inbound

Decoupling Task-Solving and Output Formatting in LLM Generation cites this paper.

Decoupling Task-Solving and Output Formatting in LLM Generation Efficient Guided Generation for Large Language Models

Reference 36

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unresolved
no resolver link, observed 2026-08-04T12:12:57.587845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:12:57.587845Z digest=sha256:bd3c7b24024b7e8ac4e8fa243801f226ef07f6f1d83c3c534e1fd255d1da08fa

Observation bf374be4-c0a9-4acf-bf1f-3f002683913d · inbound

Measure what Matters: Psychometric Evaluation of AI with Situational Judgment Tests cites this paper.

Measure what Matters: Psychometric Evaluation of AI with Situational Judgment Tests Efficient Guided Generation for Large Language Models

Reference 10

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metadata mismatch
local_arxiv, observed 2026-05-18T04:55:54.327650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T04:53:32.242974Z digest=sha256:6ff4817ced2c19d4216a32d9c940fa6d12b6846235f4653f13e3e4649a1b7a6e

Observation cd20594e-37f0-4c63-88f1-cb5d83963471 · inbound

Measure what Matters: Psychometric Evaluation of AI with Situational Judgment Tests cites this paper.

Measure what Matters: Psychometric Evaluation of AI with Situational Judgment Tests Efficient Guided Generation for Large Language Models

Reference 2012

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unresolved
no resolver link, observed 2026-08-04T08:12:48.178479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:12:48.178479Z digest=sha256:ccbca1b228e324480dd0f60bb73bcae2559d80cf86407d0a19f8688e94a8f204

Observation 55f77d4a-e390-4555-b718-b1f53e13051a · inbound

RL-Struct: A Lightweight Reinforcement Learning Framework for Reliable Structured Output in LLMs cites this paper.

RL-Struct: A Lightweight Reinforcement Learning Framework for Reliable Structured Output in LLMs Efficient Guided Generation for Large Language Models

Reference 19

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unresolved
no resolver link, observed 2026-08-03T19:31:36.835706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:31:36.835706Z digest=sha256:7cdca4f92eecbf9475c3e95312529dc1b87ce0428b3d503f3a2c3e5717259f8a

Observation fdbaacd5-4c14-4057-bfe5-d0e9e60e112a · inbound

Minimum Bayes Risk Decoding for Error Span Detection in Reference-Free Automatic Machine Translation Evaluation cites this paper.

Minimum Bayes Risk Decoding for Error Span Detection in Reference-Free Automatic Machine Translation Evaluation Efficient Guided Generation for Large Language Models

Reference 54

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unresolved
no resolver link, observed 2026-08-03T17:56:48.937127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T17:56:48.937127Z digest=sha256:4f9b046c0f88492def201003aa358f6194d2522a11981ee55f300df944e37ccc

Observation 9b4e69ad-a808-4c05-bcff-7d1ce0bbf938 · inbound

XGrammar-2: Dynamic and Efficient Structured Generation Engine for Agentic LLMs cites this paper.

XGrammar-2: Dynamic and Efficient Structured Generation Engine for Agentic LLMs Efficient Guided Generation for Large Language Models

Reference 35

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unresolved
no resolver link, observed 2026-08-03T12:07:34.244893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:07:34.244893Z digest=sha256:86aab9eaf4f9dc6cb664a3c63678bf952bdc3e44fb904a72ba8fb90311edc528

Observation 5b1bb5bd-e949-4bb2-87ce-130475b52be2 · inbound

Strategies for Span Labeling with Large Language Models cites this paper.

Strategies for Span Labeling with Large Language Models Efficient Guided Generation for Large Language Models

Reference 2023

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unresolved
no resolver link, observed 2026-08-03T08:28:02.266163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:28:02.266163Z digest=sha256:273a715cc694405ebf083e62a3a21cdcdfaf8b69844ffa95dcb1729559853aac

Observation 36743e26-235b-41c9-b814-4526cd77c846 · inbound

Continuous Diffusion Models Can Obey Formal Syntax cites this paper.

Continuous Diffusion Models Can Obey Formal Syntax Efficient Guided Generation for Large Language Models

Reference 15

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unresolved
no resolver link, observed 2026-08-02T23:53:41.231313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:53:41.231313Z digest=sha256:7d52cc672680149119b91c3096164bac183c88fe857414385e7c775af1ee5485

Observation 43fbd254-5a9a-4372-bc30-4f5f404063fd · inbound

How to Take a Memorable Picture? Empowering Users with Actionable Feedback cites this paper.

How to Take a Memorable Picture? Empowering Users with Actionable Feedback Efficient Guided Generation for Large Language Models

Reference 68

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unresolved
no resolver link, observed 2026-08-02T20:57:14.817725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:57:14.817725Z digest=sha256:99abcc2f01e72d0fde597c5588c24e192dec74ae467d19de1914b2bff76b03c4

Observation 53eb1a7d-e23d-4cb8-8761-c09a8d25afa5 · inbound

Autoregressive Synthesis of Sparse and Semi-Structured Mixed-Type Data cites this paper.

Autoregressive Synthesis of Sparse and Semi-Structured Mixed-Type Data Efficient Guided Generation for Large Language Models

Reference 43

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T18:16:27.038115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T18:14:17.585458Z digest=sha256:ed0d4c720c8f9da081fc5f0de144b92a963096a3ca5bc66f8626f31453eeb0be

Observation 1d7f7266-d3f1-4fd9-8bc3-a4f4a13aaea1 · inbound

From Plausibility to Verifiability: Risk-Controlled Generative OCR with Vision-Language Models cites this paper.

From Plausibility to Verifiability: Risk-Controlled Generative OCR with Vision-Language Models Efficient Guided Generation for Large Language Models

Reference 41

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metadata mismatch
local_arxiv, observed 2026-05-15T08:55:19.424292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T08:53:18.268970Z digest=sha256:ccc42878288b00d653a7f297d9b5d86233761116408942038e69e17addf3253b

Observation 2afbb24d-6770-41af-b1a3-0f767785d72a · inbound

Noise Steering for Controlled Text Generation: Improving Diversity and Reading-Level Fidelity in Arabic Educational Story Generation cites this paper.

Noise Steering for Controlled Text Generation: Improving Diversity and Reading-Level Fidelity in Arabic Educational Story Generation Efficient Guided Generation for Large Language Models

Reference 13

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metadata mismatch
local_arxiv, observed 2026-05-13T19:43:11.369251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T19:39:07.039348Z digest=sha256:036bc8d93d56eb59559e571d360abc30927a22fee3fd32b76767938b98b15c90

Observation 94df59d7-6376-4a64-b97e-3fa17abe03bd · inbound

The Format Tax cites this paper.

The Format Tax Efficient Guided Generation for Large Language Models

Reference 20

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unresolved
no resolver link, observed 2026-07-13T12:48:03.396039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T12:48:03.396039Z digest=sha256:d697a46da0209aae976fd45db4f84420870532ff75111b348aa7e7617bd76851

Observation a846a179-a130-4c1a-b146-0a8761c1f03d · inbound

Precise Robot Command Understanding Using Grammar-Constrained Large Language Models cites this paper.

Precise Robot Command Understanding Using Grammar-Constrained Large Language Models Efficient Guided Generation for Large Language Models

Reference 21

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unresolved
no resolver link, observed 2026-07-13T10:39:48.868810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:39:48.868810Z digest=sha256:373d5b658a3ee8ee7779ed5e6a770f1ff4415cd43ba4425f2f989ee1b1ea0e94

Observation dd965c79-b955-49f8-80b8-7b33a77eb4f8 · inbound

From Hallucination to Structure Snowballing: The Alignment Tax of Constrained Decoding in LLM Reflection cites this paper.

From Hallucination to Structure Snowballing: The Alignment Tax of Constrained Decoding in LLM Reflection Efficient Guided Generation for Large Language Models

Reference 9

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metadata mismatch
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T19:04:32.931596Z digest=sha256:d482f188f7b71a9c373794854b4c9d50b9dfa1d19e8e7acfd1e2524e560e2ea0

Observation 5c87bd6b-0bd1-4b49-bb84-b8e3eb06d972 · inbound

Learning and Enforcing Context-Sensitive Control for LLMs cites this paper.

Learning and Enforcing Context-Sensitive Control for LLMs Efficient Guided Generation for Large Language Models

Reference 24

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metadata mismatch
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T16:30:01.340343Z digest=sha256:72f089e3e0be0e7f6c4c29616227cd21e3fd423317f5312862a7cee191509811

Observation 89a6d275-ce8a-43cd-b7d0-5a80b0c9a6cb · inbound

ProbeLogits: Kernel-Level LLM Inference Primitives for AI-Native Operating Systems cites this paper.

ProbeLogits: Kernel-Level LLM Inference Primitives for AI-Native Operating Systems Efficient Guided Generation for Large Language Models

Reference 13

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verified exact
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T16:27:18.594869Z digest=sha256:56e79178fef80a31fc9b97b747cae5e71403e3f9497c9539f67eede4eb17ffdc

Observation 0da7e975-147b-42f8-8a0e-deaa309cb627 · inbound

Local-Splitter: A Measurement Study of Seven Tactics for Reducing Cloud LLM Token Usage on Coding-Agent Workloads cites this paper.

Local-Splitter: A Measurement Study of Seven Tactics for Reducing Cloud LLM Token Usage on Coding-Agent Workloads Efficient Guided Generation for Large Language Models

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T15:29:36.610491Z digest=sha256:6bf4cded3016b30c01e8760e94c42ed9c38b85f350b3d4bab9fc6a6d9e65b6fa

Observation 805e08d5-7da9-4291-bd83-1ba2be82a5fe · inbound

Schema Key Wording as an Instruction Channel in Structured Generation under Constrained Decoding cites this paper.

Schema Key Wording as an Instruction Channel in Structured Generation under Constrained Decoding Efficient Guided Generation for Large Language Models

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T11:14:29.764233Z digest=sha256:8df00a0a178c08ed8cfebcc9b2136d3d1ac7f0f233bdadb7f39ad7268affc746

Observation 0e400662-281a-42dd-b34d-589c553d3466 · inbound

When Agents Go Quiet: Output Generation Capacity and Format-Cost Separation for LLM Document Synthesis cites this paper.

When Agents Go Quiet: Output Generation Capacity and Format-Cost Separation for LLM Document Synthesis Efficient Guided Generation for Large Language Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T07:50:54.128824Z digest=sha256:a9b2f8a36fe3ec40fe20a37312a8739833f729bdd59663f86b31315d5530d54e

Observation 228f29c8-21c7-405e-b69e-c7804766ad39 · inbound

Governed MCP: Kernel-Level Tool Governance for AI Agents via Logit-Based Safety Primitives cites this paper.

Governed MCP: Kernel-Level Tool Governance for AI Agents via Logit-Based Safety Primitives Efficient Guided Generation for Large Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T06:55:24.385051Z digest=sha256:bc46ca2faac5e01aad3a7eff52cd7037611b434ebb0c20f800baec88b7a5a621

Observation 484f0434-c865-4d9d-ab5d-2a135b04a546 · inbound

SYMBOLIZER: Symbolic Model-free Task Planning with VLMs cites this paper.

SYMBOLIZER: Symbolic Model-free Task Planning with VLMs Efficient Guided Generation for Large Language Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T05:10:38.939375Z digest=sha256:5f08b114dcf8daca3b4566a6176aa88117a2ba6afa589b6d78fa36af1b0a8e13

Observation 0cd19fd3-f9e5-40fb-be4c-b4d0e8c2d14e · inbound

Copy-as-Decode: Grammar-Constrained Parallel Prefill for LLM Editing cites this paper.

Copy-as-Decode: Grammar-Constrained Parallel Prefill for LLM Editing Efficient Guided Generation for Large Language Models

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T04:43:12.713645Z digest=sha256:24b2f2923c3c94edd75e24ed05984dd6951acba031b18ec662f6cc5fcef24b51

Observation a9b2d947-88a0-4502-924e-e4caf7fe6dc4 · inbound

LLM StructCore: Schema-Guided Reasoning Condensation and Deterministic Compilation cites this paper.

LLM StructCore: Schema-Guided Reasoning Condensation and Deterministic Compilation Efficient Guided Generation for Large Language Models

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-09T23:43:22.473104Z digest=sha256:f6bdbbf4df728be314350955349ad09252ecf763daad2c0dde07fce4b18b70e1

Observation 0743148b-d2c4-477a-9f74-c05229e56436 · inbound

Query2Diagram: Answering Developer Queries with UML Diagrams cites this paper.

Query2Diagram: Answering Developer Queries with UML Diagrams Efficient Guided Generation for Large Language Models

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T06:03:13.037369Z digest=sha256:a759c5a766a8aa6955d1effdf9ab51a2b900f397f4cb7b0cbf42c2d5c6ffabe1

Observation fc896c7f-3232-469e-9097-cba896a94869 · inbound

The Structured Output Benchmark: A Multi-Source Benchmark for Evaluating Structured Output Quality in Large Language Models cites this paper.

The Structured Output Benchmark: A Multi-Source Benchmark for Evaluating Structured Output Quality in Large Language Models Efficient Guided Generation for Large Language Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-07T16:33:46.387850Z digest=sha256:e78f83b458d1130eacbea42a4b8505f2997ebd1dd9809867e708dc3580622a18

Observation 918b76dc-ddee-4eb1-9a14-04c17d176e20 · inbound

Proactive Dialogue Model with Intent Prediction cites this paper.

Proactive Dialogue Model with Intent Prediction Efficient Guided Generation for Large Language Models

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T08:31:16.300418Z digest=sha256:75abb4c1b87e8d56c02575b5359cda5fc470037e0eb2b79fdb1f0421aafc679d

Observation 830d4624-4890-490e-a99d-62535db27b0e · inbound

Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding cites this paper.

Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding Efficient Guided Generation for Large Language Models

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T07:35:50.936221Z digest=sha256:0d55b0871afd9adbd7bdae2ccd7052c8fdba9a521a2143fb36b3f561d156069d

Observation d77c33a5-a60d-49f9-b4dd-1aea0247889a · inbound

When Correct Isn't Usable: Improving Structured Output Reliability in Small Language Models cites this paper.

When Correct Isn't Usable: Improving Structured Output Reliability in Small Language Models Efficient Guided Generation for Large Language Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T18:53:01.414361Z digest=sha256:46117961e9311ee5e0243718006083733ef19ab75eaffa45038ec3d1715c03b0

Observation 6c2f061e-82dc-4ac7-aa3f-692b6bd797cb · inbound

Mage: Multi-Axis Evaluation of LLM-Generated Executable Game Scenes Beyond Compile-Pass Rate cites this paper.

Mage: Multi-Axis Evaluation of LLM-Generated Executable Game Scenes Beyond Compile-Pass Rate Efficient Guided Generation for Large Language Models

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-11T01:00:14.123212Z digest=sha256:0132ce251a1307ceaaa11c6616907846db57a4b4ffcc2e9f23211aa431ae4307

Observation e21e98b1-e57d-4c37-8ae1-6bbba63b8365 · inbound

Future Validity is the Missing Statistic: From Impossibility to $\Phi$-Estimation for Grammar-Faithful Speculative Decoding cites this paper.

Future Validity is the Missing Statistic: From Impossibility to $\Phi$-Estimation for Grammar-Faithful Speculative Decoding Efficient Guided Generation for Large Language Models

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-11T02:45:49.694352Z digest=sha256:b0f75568c3659cc14bb8fea95dc60d3fd5b5af602c67882fafd3afbc4465b991

Observation a7dc24d1-6c3a-4b18-a42c-553d5c3ccaa2 · inbound

The Extrapolation Cliff in On-Policy Distillation of Near-Deterministic Structured Outputs cites this paper.

The Extrapolation Cliff in On-Policy Distillation of Near-Deterministic Structured Outputs Efficient Guided Generation for Large Language Models

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T03:43:16.720945Z digest=sha256:344576434cdba3f9108bff1114fdf1a25cb4c0f8ddff9b2130769224e4d1f16d

Observation 9161a7a3-0786-4889-97a1-beb86c5ff711 · inbound

NCO: A Versatile Plug-in for Handling Negative Constraints in Decoding cites this paper.

NCO: A Versatile Plug-in for Handling Negative Constraints in Decoding Efficient Guided Generation for Large Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T05:08:07.862797Z digest=sha256:f9f25cf8dc537e2c84b4daa02b9a237e03dc7ee584927782ad692ba0e536f04b

Observation 4dc7b68a-31dd-4ad4-9bdb-bce8a0744a24 · inbound

A Cascaded Generative Approach for e-Commerce Recommendations cites this paper.

A Cascaded Generative Approach for e-Commerce Recommendations Efficient Guided Generation for Large Language Models

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T02:45:47.102573Z digest=sha256:e95470b80011b3d80e11eaf57e8e43af747af34f11e746fe61ffbc87d5cb81fe

Observation fc4f3f7d-1315-46cd-b404-ba17a2d355fa · inbound

A Cascaded Generative Approach for e-Commerce Recommendations cites this paper.

A Cascaded Generative Approach for e-Commerce Recommendations Efficient Guided Generation for Large Language Models

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T14:42:37.497421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T14:39:21.506844Z digest=sha256:d8d7079969adfc1e8ee29f3e101db3e8d93cd5f7ba54413d93c253a0b1e8b547

Observation 0c8fe20a-4255-4782-9919-14ee6fcf3293 · inbound

It's Not the Size: Harness Design Determines Operational Stability in Small Language Models cites this paper.

It's Not the Size: Harness Design Determines Operational Stability in Small Language Models Efficient Guided Generation for Large Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:07:13.961671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T04:29:04.155200Z digest=sha256:e672ceffef03cbcd7dd60669fcb6d0424231a422021fc1cf642f62fbf06081ea

Observation d580d66b-5b0d-481e-846e-321f98b17a58 · inbound

TruncProof: A Guardrail for LLM-based JSON Generation under Token-Length Constraints cites this paper.

TruncProof: A Guardrail for LLM-based JSON Generation under Token-Length Constraints Efficient Guided Generation for Large Language Models

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-14T19:47:52.730609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-14T19:46:40.135721Z digest=sha256:661a6b46acc9ba3124e7c7c110d5397684841f44a2fdd477ca965fe8bf58fc6f

Observation 8f10bff1-2bd4-4c38-a475-79b3b99e9048 · inbound

TruncProof: A Guardrail for LLM-based JSON Generation under Token-Length Constraints cites this paper.

TruncProof: A Guardrail for LLM-based JSON Generation under Token-Length Constraints Efficient Guided Generation for Large Language Models

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-06-30T22:05:06.055360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:56:45.877013Z digest=sha256:cec550fccc0876bbbe57e4cbb15bb0f4e0b1dd4a7e34a27589b647c0060cba59

Observation 77ebf525-3bc2-48bc-bbca-ff0a0ef94372 · inbound

ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows cites this paper.

ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows Efficient Guided Generation for Large Language Models

Reference 43

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T05:15:04.049704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T05:10:18.822143Z digest=sha256:a3f2abb353fef6a5b51090e1e06ac98be35ce0fc2770b124984b751156a2126c

Observation a796cd63-58b2-4426-be61-629cd53d22a6 · inbound

ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows cites this paper.

ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows Efficient Guided Generation for Large Language Models

Reference 43

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T14:25:47.069309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T21:19:09.033331Z digest=sha256:0741307d42702101db7f1cd9d2c363e104d6613deab4c69f83dc451367c56300

Observation 0729ce91-bf07-43ff-8544-98c61ccc3383 · inbound

Conformal Geometric Algebra as a Symbolic Interface for LLM-Driven 3D Scene Editing cites this paper.

Conformal Geometric Algebra as a Symbolic Interface for LLM-Driven 3D Scene Editing Efficient Guided Generation for Large Language Models

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T01:13:53.504515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T01:12:25.518989Z digest=sha256:841f7dff7e1c1b1b9e644fb376e1d9c15357dedaa65e8fac4fe2e0c8ba485865

Observation 5f2141fe-fa19-43b7-b97a-140f27e697f9 · inbound

CasualSynth: Generating Structurally Sound Synthetic Data cites this paper.

CasualSynth: Generating Structurally Sound Synthetic Data Efficient Guided Generation for Large Language Models

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-05-20T14:18:21.300992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T14:17:14.457131Z digest=sha256:3e7d82f0fde995a6dc15547743810206783d31b7b2eb279c2e4e8c51a20fb2e2

Observation e8130bc5-7fdf-4613-b065-a1e6beaf1962 · inbound

Ethical Hyper-Velocity (EHV): A Hardware-Rooted Zero-Trust Runtime Enforcement Architecture for Agentic AI Systems cites this paper.

Ethical Hyper-Velocity (EHV): A Hardware-Rooted Zero-Trust Runtime Enforcement Architecture for Agentic AI Systems Efficient Guided Generation for Large Language Models

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-06-30T19:05:00.461068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T19:02:54.904335Z digest=sha256:28a6e5dfa5d19f9b1e369f5ec8b6cee4aadb4b75452412e07ce69e91cd7a5644

Observation 8bb47f11-6a9a-4d2b-b462-559f2224d459 · inbound

Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains cites this paper.

Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains Efficient Guided Generation for Large Language Models

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-20T05:48:04.559690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T05:45:02.563352Z digest=sha256:1d486b7972ac2edf6ee3b7843d0f12eb889a5b0ea1e9d159c55ad329593bd1c1

Observation 378b85bf-b6cd-4da4-a71c-16770563ca21 · inbound

Position: The Time for Sampling Is Now! Charting a New Course for Bayesian Deep Learning cites this paper.

Position: The Time for Sampling Is Now! Charting a New Course for Bayesian Deep Learning Efficient Guided Generation for Large Language Models

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-22T09:24:45.870540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T09:22:47.640653Z digest=sha256:509cb55e203d1159a02c73b9f8633bed4fe0edbf122266f2da1c8a8a6db056c9

Observation c92d062d-23da-443a-ae58-e8c521cfece5 · inbound

Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements cites this paper.

Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements Efficient Guided Generation for Large Language Models

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T06:54:41.923170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T06:52:20.455300Z digest=sha256:0b36bf455a42ec6f8b6bcafe0f212011960a56d901a7726320b2021695d0ddf6

Observation 9df4bf5e-a801-40c3-a33c-e0ff0443c61c · inbound

Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements cites this paper.

Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements Efficient Guided Generation for Large Language Models

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T17:34:56.823755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T17:34:52.256466Z digest=sha256:75873167040c2a26307dfddb603f2b2ca14ca2bde78a2ba2c1cde45989b4c3cd

Observation 1a2a8683-4bf5-4c63-9b6d-3436a514a37a · inbound

From Accuracy to Auditability: A Survey of Determinism in Financial AI Systems cites this paper.

From Accuracy to Auditability: A Survey of Determinism in Financial AI Systems Efficient Guided Generation for Large Language Models

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:05:45.770090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T22:27:30.692356Z digest=sha256:81edc9c9a9c8855cfde7096a86192541e9bd7bc483e73d4327dfa195bf24972c

Observation d1f3b067-cc9e-46f5-8fb6-aec6c52369fd · inbound

The Constraint Tax: Measuring Validity-Correctness Tradeoffs in Structured Outputs for Small Language Models cites this paper.

The Constraint Tax: Measuring Validity-Correctness Tradeoffs in Structured Outputs for Small Language Models Efficient Guided Generation for Large Language Models

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T17:44:57.805122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T17:39:16.469049Z digest=sha256:bc5ef657c3ecdd482d9bfe1a3152c46c2d86d19d1a230e4b196090ae6878c9ba

Observation 102dbf13-29a9-4e21-bade-c9086a25a322 · inbound

Neural Autoregressive Control Variates for the Quantum Monte Carlo Sign Problem cites this paper.

Neural Autoregressive Control Variates for the Quantum Monte Carlo Sign Problem Efficient Guided Generation for Large Language Models

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-06-29T16:13:36.337283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T15:52:59.293996Z digest=sha256:6b6c69b8d59d09478ba99e599cd5a1d5b102c4f58bb0c0885e9973019f95d94c

Observation 6926cc89-aafa-46a2-b035-eed71194838c · inbound

Neuro-Symbolic Verification of LLM Outputs for Data-Sensitive Domains (extended preprint) cites this paper.

Neuro-Symbolic Verification of LLM Outputs for Data-Sensitive Domains (extended preprint) Efficient Guided Generation for Large Language Models

Reference 38

Resolution
malformed identifier
local_arxiv, observed 2026-06-29T17:03:40.892338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T16:59:53.490989Z digest=sha256:3f0ac66fdcd3397d6d97cd106b75ecb70557c0478ef844f71485b0f7d510ce5a

Observation 4bbb15a4-23e3-43a0-b1de-fc1bfcf3f893 · inbound

Evolving and Detecting Multi-Turn Deception using Geometric Signatures cites this paper.

Evolving and Detecting Multi-Turn Deception using Geometric Signatures Efficient Guided Generation for Large Language Models

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-06-29T15:23:32.709046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T15:17:58.804973Z digest=sha256:a870fb63b4b2f1323d3581239f1ef9935e4098c0990a355eb996dffbe4e4658e

Observation 64552602-d7da-435b-86c0-5e44f362d0fa · inbound

A Policy-Driven Runtime Layer for Agentic LLM Serving cites this paper.

A Policy-Driven Runtime Layer for Agentic LLM Serving Efficient Guided Generation for Large Language Models

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-06-29T17:03:41.392562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T16:54:36.387432Z digest=sha256:9fb7e0cdfcd799bd3fee029f99026960bdebf5871302d13aa211a104e8051f9c

Observation e167f4f0-2d13-4a06-8760-c9c9f5af8853 · inbound

A Policy-Driven Runtime Layer for Agentic LLM Serving cites this paper.

A Policy-Driven Runtime Layer for Agentic LLM Serving Efficient Guided Generation for Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-02T13:00:11.409131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:00:11.409131Z digest=sha256:92e6da0d06092ee8ec22357050ad908c60bc77231ab32ada352a789b92bb78af

Observation 44249bf8-70b8-44af-ba3a-b55a8311fffb · inbound

Learning the Error Patterns of Language Models cites this paper.

Learning the Error Patterns of Language Models Efficient Guided Generation for Large Language Models

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-06-29T14:03:29.678952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T13:56:04.187007Z digest=sha256:21980019717f0d6a13cdff2eeca4ca8a416ab4c38dc8dddb982aed388bacc832

Observation 430ff886-2014-45db-b317-98b6d5ea6287 · inbound

Accelerating Constrained Decoding with Token Space Compression cites this paper.

Accelerating Constrained Decoding with Token Space Compression Efficient Guided Generation for Large Language Models

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:33:13.956448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T07:27:08.402456Z digest=sha256:fe6b84ccca5ff049548d956075ee2f2841b4e9796e154f35e8ac4b76a8cf4c24

Observation 8e725057-89a8-488f-98a7-a39979b90b91 · inbound

Projectional Decoding: Towards Semantic-Aware LLM Generation cites this paper.

Projectional Decoding: Towards Semantic-Aware LLM Generation Efficient Guided Generation for Large Language Models

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-06-29T06:23:09.153826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T06:19:48.453862Z digest=sha256:ee5abc4d7dea74e41b9d9bf13954912580cd65d919b5a1dd836316dd8ebfa9ff

Observation 6da126a2-1ad7-4ac4-822e-983e4c43fe60 · inbound

SuperMemory-VQA: An Egocentric Visual Question-Answering Benchmark for Long-Horizon Memory cites this paper.

SuperMemory-VQA: An Egocentric Visual Question-Answering Benchmark for Long-Horizon Memory Efficient Guided Generation for Large Language Models

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-06-28T19:02:34.137770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T19:00:20.891691Z digest=sha256:28aee2d9b62c38a19e17be6f21b15478e89143feabd8d9f776972570435ac017

Observation 260d0c9f-cebf-4d9e-8e19-4a424023f5ff · inbound

SuperMemory-VQA: An Egocentric Visual Question-Answering Benchmark for Long-Horizon Memory cites this paper.

SuperMemory-VQA: An Egocentric Visual Question-Answering Benchmark for Long-Horizon Memory Efficient Guided Generation for Large Language Models

Reference 61

Resolution
metadata mismatch
local_arxiv, observed 2026-06-28T19:02:33.353986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T19:00:20.891691Z digest=sha256:d714baae4cb6d51c631c3f2a8aef8c8513bba3534d81f901da6ddc2a1347a295

Observation 960b4455-b66a-409c-9c03-799535acf4d4 · inbound

Compliance-Scored Best-of-N Guardrail Orchestration for Multimodal Document Generation in Payments Dispute Defense cites this paper.

Compliance-Scored Best-of-N Guardrail Orchestration for Multimodal Document Generation in Payments Dispute Defense Efficient Guided Generation for Large Language Models

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-07-02T00:56:24.444591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T13:13:05.210457Z digest=sha256:abde20d0b0189bee15004fa698269c9a386dc4b5b88123d4b78a49f4e0e5104b

Observation 9aecd08d-ced6-40b6-84d4-03edf59b7781 · inbound

Ten Headache Specialists versus Artificial Intelligence for Clinical Literature Summarization: A Critical Evaluation and Comparison cites this paper.

Ten Headache Specialists versus Artificial Intelligence for Clinical Literature Summarization: A Critical Evaluation and Comparison Efficient Guided Generation for Large Language Models

Reference 34

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T08:26:48.117210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-28T06:03:59.798126Z digest=sha256:214d023155af0ffd5a160c02749f7dad0c6507ff25bfc82f19f2a2d5b36fcc2a