Paper Citation Record · LEDGER

Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2403.06988.

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

pith.paper-citation-record.v1
2403.06988 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:41:15.758089Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T02:47:37.530705Z

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 f9d3ac75-d4f6-4e2c-8f0a-0978ae72978e · inbound

Every Software as an Agent: Blueprint and Case Study cites this paper.

Every Software as an Agent: Blueprint and Case Study Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T21:41:15.758089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03c052c2-fd18-40f3-8932-e5df661438a8 · 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 Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:27:09.093458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67865ef1-52a1-421b-b3e0-accc82ea9fc0 · inbound

Attention2Probability: Attention-Driven Terminology Probability Estimation for Robust Speech-to-Text System cites this paper.

Attention2Probability: Attention-Driven Terminology Probability Estimation for Robust Speech-to-Text System Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T16:21:56.186706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1b245f3-e994-442e-b210-a9bada24493b · inbound

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

Research Challenges in Relational Database Management Systems for LLM Queries Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T14:46:05.693849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6958e430-26b0-4a25-a092-18bc73e14b61 · inbound

Orthographic Constraint Satisfaction and Human Difficulty Alignment in Large Language Models cites this paper.

Orthographic Constraint Satisfaction and Human Difficulty Alignment in Large Language Models Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:04.936392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 903e8cee-6e87-4660-9dc3-ad44f9e9793d · inbound

Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data Generation (Extended Version) cites this paper.

Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data Generation (Extended Version) Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T11:14:51.663346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 061e28dc-b8fd-40b0-8dce-9bc034a62481 · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T08:15:13.630867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d9bbcbf-b92d-4eb2-b86c-d02c4ce4d885 · inbound

CircuitSynth: Reliable Synthetic Data Generation cites this paper.

CircuitSynth: Reliable Synthetic Data Generation Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:56:03.384786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9bef74f9-5cd6-4167-871c-a650d82e70e0 · inbound

Agent Mentor: Framing Agent Knowledge through Semantic Trajectory Analysis cites this paper.

Agent Mentor: Framing Agent Knowledge through Semantic Trajectory Analysis Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:01:02.691234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 954efbbe-91f6-481d-babb-775758ad9bf9 · 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 Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:11:27.076364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de8199d7-13ab-4d96-ab95-62f045a8db0f · 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 Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:06:36.385354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a84cbf2a-bbe2-401c-a756-0f1c39788408 · inbound

Extending Confidence-Based Text2Cypher with Grammar and Schema Aware Filtering cites this paper.

Extending Confidence-Based Text2Cypher with Grammar and Schema Aware Filtering Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:41:24.107787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 63690df0-a4e0-469e-81e6-b05986862e53 · 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 Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:47:52.745547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4daa72d3-265e-4935-aa92-d86f15d61d7f · 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 Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:05:06.058099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 73c5b3f8-e40b-4a4a-a8de-160b433325e2 · inbound

Empirical Study for Structured Output Control in LLMs for Software Engineering cites this paper.

Empirical Study for Structured Output Control in LLMs for Software Engineering Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T02:47:37.531980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fccb552d-e6d0-4faf-a9d1-e0e1fa8deaa4 · inbound

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias cites this paper.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:31.022034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.