Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Grammar Prompting for Domain-Specific Language Generation with Large Language Models
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.19234.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:36:45.590581Z
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
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
24
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 40826b50-9319-4c3b-a29a-b484ea51fad4 · 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 Grammar Prompting for Domain-Specific Language Generation with Large Language Models
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:36:45.590581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d54ad833-e6fc-4a3b-91e4-97a14b128ae8 · 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 Grammar Prompting for Domain-Specific Language Generation with Large Language Models
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T12:07:34.077691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 311eebf2-523e-4a50-b457-d5c5e45a8ad8 · inbound
Context-Instrumental Data Distillation for Kubernetes Manifest Generation: Method and Experimental Evaluation cites this paper.
Context-Instrumental Data Distillation for Kubernetes Manifest Generation: Method and Experimental Evaluation Grammar Prompting for Domain-Specific Language Generation with Large Language Models
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T23:14:00.940898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c6443306-94ae-48b9-8346-3594f6f43d4c · inbound
Sequential Planning via Anchored Robotic Keypoints cites this paper.
Sequential Planning via Anchored Robotic Keypoints Grammar Prompting for Domain-Specific Language Generation with Large Language Models
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T05:04:20.345871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5d5903cf-34ab-4765-b5ea-04d50d6eba97 · inbound
ASMR: Agentic Schema Generation for Ship Maintenance Report Writing cites this paper.
ASMR: Agentic Schema Generation for Ship Maintenance Report Writing Grammar Prompting for Domain-Specific Language Generation with Large Language Models
Reference 19
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T11:57:03.402578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.