Paper Citation Record · LEDGER

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding

As of 14 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2507.16768.

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

pith.paper-citation-record.v1
2507.16768 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:05:20.637484Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:07:34.166706Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy10
unresolved5
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ad5698c-cb8a-4d73-814e-9bc9d45899e9 · outbound

This paper cites Introducing the model context protocol.

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding Introducing the model context protocol

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:21.045541Z

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 1300e7e7-c2dc-4c79-931b-125cbd427790 · outbound

This paper cites Efficient computation of lalr(1) look-ahead sets.

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding Efficient computation of lalr(1) look-ahead sets

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:21.025112Z

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 640fa8e0-9db7-4895-8044-1d66a7066daf · outbound

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

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T15:05:20.542453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edb19237-1ab3-4495-83ca-a59c5ddd883a · outbound

This paper cites An efficient context-free parsing algorithm.

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding An efficient context-free parsing algorithm

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:21.005175Z

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 d02c65d1-8d81-4eaa-9de7-fe835fee222e · outbound

This paper cites lm-format-enforcer.

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding lm-format-enforcer

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:20.984857Z

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 48cbc5ea-63ff-452b-ba98-8d69267aa8f3 · outbound

This paper cites A survey on large language models for code generation, 2024.

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding A survey on large language models for code generation, 2024

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T15:05:20.564980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aad08f97-6bc0-4d7a-bba9-1caf50aa7188 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding Efficient memory management for large language model serving with pagedattention

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:20.922587Z

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 d15db5ad-4001-4271-a98c-96360a4b7048 · outbound

This paper cites json-mode-eval dataset, 2023.

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding json-mode-eval dataset, 2023

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:20.902109Z

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 e92cfb25-cf78-4f41-9420-4a81015fe14f · outbound

This paper cites Function calling guide.

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding Function calling guide

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:20.867648Z

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 4bb56142-c357-4094-a01a-20405dcff7ae · outbound

This paper cites Syncode: Llm generation with grammar augmentation, 2024.

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding Syncode: Llm generation with grammar augmentation, 2024

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:20.848400Z

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 08b165a7-4a11-4f8e-91f8-f6ca6802bce2 · outbound

This paper cites Willard and Rémi Louf.

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding Willard and Rémi Louf

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:20.831095Z

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 1dc6b214-76e4-45e2-84da-e75ddb7438fe · outbound

This paper cites What can we do about the unnecessary diversity of notation for syntactic definitions? Commun.

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding What can we do about the unnecessary diversity of notation for syntactic definitions? Commun

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:05:20.812878Z

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 2ae2a9f9-6165-4e9e-94bf-c0896b2dc461 · outbound

This paper cites The rise and potential of large language model based agents: A survey, 2023.

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding The rise and potential of large language model based agents: A survey, 2023

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:05:20.622551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87e4cb73-ec1e-4843-b892-3322a2bc54b5 · outbound

This paper cites Qwen2.5 Technical Report.

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding Qwen2.5 Technical Report

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T15:05:20.630930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd3dec63-50d6-43da-8ece-f5298dabce9d · outbound

This paper cites an unresolved cited work.

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:05:20.771747Z

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 beb9dad0-7f7c-46de-b729-ffbc2a8823f1 · outbound

This paper cites an unresolved cited work.

WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding Unresolved cited work

Reference 2023

Resolution: parse uncertain; raw_fallback, observed 2026-08-06T15:05:20.962356Z

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.

Pith citing papers

Observation add3ee92-b374-4b50-a7d6-3d373f22280c · 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 WGRAMMAR: Leverage Prior Knowledge to Accelerate Structured Decoding

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T12:07:34.166706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.