Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
StructuredRAG: JSON Response Formatting with Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2408.11061.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:07:00.551297Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 17aabedd-20ac-4e00-ac31-4e4ae146a4c2 · inbound
How do Scaling Laws Apply to Knowledge Graph Engineering Tasks? The Impact of Model Size on Large Language Model Performance cites this paper.
How do Scaling Laws Apply to Knowledge Graph Engineering Tasks? The Impact of Model Size on Large Language Model Performance StructuredRAG: JSON Response Formatting with Large Language Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:07:00.551297Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f6e5ba7-34f1-495d-a6ab-f056e6a6a825 · inbound
Interactive Reasoning: Visualizing and Controlling Chain-of-Thought Reasoning in Large Language Models cites this paper.
Interactive Reasoning: Visualizing and Controlling Chain-of-Thought Reasoning in Large Language Models StructuredRAG: JSON Response Formatting with Large Language Models
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:37:56.940962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b93278d-902d-48b7-a844-849647f3add0 · inbound
OASBuilder: Generating OpenAPI Specifications from Online API Documentation with Large Language Models cites this paper.
OASBuilder: Generating OpenAPI Specifications from Online API Documentation with Large Language Models StructuredRAG: JSON Response Formatting with Large Language Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:38:06.621226Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2681144d-be27-4ec2-9346-bf4175310e8e · inbound
REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once cites this paper.
REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once StructuredRAG: JSON Response Formatting with Large Language Models
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:35:31.623431Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcdb59f6-cd59-4811-b015-76bcf4da18a5 · inbound
Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity cites this paper.
Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity StructuredRAG: JSON Response Formatting with Large Language Models
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T17:11:39.122133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 92deaa59-dd6f-4bb5-aa89-a96553a250ed · inbound
End-to-end PDDL Planning with Hardcoded and Dynamic Agents cites this paper.
End-to-end PDDL Planning with Hardcoded and Dynamic Agents StructuredRAG: JSON Response Formatting with Large Language Models
Reference 29
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T23:38:41.694585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cddeeff6-3dce-42cc-9be4-087c1b99b476 · inbound
Chinese Essay Rhetoric Recognition Using LoRA, In-context Learning and Model Ensemble cites this paper.
Chinese Essay Rhetoric Recognition Using LoRA, In-context Learning and Model Ensemble StructuredRAG: JSON Response Formatting with Large Language Models
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T01:18:26.883866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 18a38d8a-8c97-4b0e-813a-73cc2c6d80be · inbound
Diagnosing CFG Interpretation in LLMs cites this paper.
Diagnosing CFG Interpretation in LLMs StructuredRAG: JSON Response Formatting with Large Language Models
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T00:24:46.753538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e84ae9db-4989-4fa0-9b7c-efa250c64ce0 · inbound
Implicit Framing in Obstetric Counseling Notes: A Grounded LLM Pipeline on a VBAC-Eligible Cohort cites this paper.
Implicit Framing in Obstetric Counseling Notes: A Grounded LLM Pipeline on a VBAC-Eligible Cohort StructuredRAG: JSON Response Formatting with Large Language Models
Reference 50
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T19:36:13.427472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e4b917c6-d1af-4810-85c1-116d7b61166d · inbound
ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows cites this paper.
ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows StructuredRAG: JSON Response Formatting with Large Language Models
Reference 39
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T05:15:04.037774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 04d95790-60e1-4be4-b5ef-26082db93d86 · inbound
ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows cites this paper.
ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows StructuredRAG: JSON Response Formatting with Large Language Models
Reference 39
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T14:25:47.072308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8f4a5d02-5d35-4dde-a9be-95f4001aa8d6 · 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 StructuredRAG: JSON Response Formatting with Large Language Models
Reference 28
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T02:47:37.507521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d3c29408-b2dd-4720-83fd-1caaaf57618a · inbound
AI Prototyper: A Figma Plugin for Decomposition-Based GUI Prototyping with LLMs cites this paper.
AI Prototyper: A Figma Plugin for Decomposition-Based GUI Prototyping with LLMs StructuredRAG: JSON Response Formatting with Large Language Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T00:57:42.083453Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.