Paper Citation Record · LEDGER

Compiler generated feedback for Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.14714.

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

pith.paper-citation-record.v1
2403.14714 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:33:46.764779Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:35:36.454739Z

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 d955c835-6b9d-4afb-b9ce-59e7e4ef95d0 · inbound

Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning cites this paper.

Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning Compiler generated feedback for Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T17:33:46.764779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 928f7a17-9636-458e-8f8f-09bd660288db · inbound

Context-Guided Decompilation: A Step Towards Re-executability cites this paper.

Context-Guided Decompilation: A Step Towards Re-executability Compiler generated feedback for Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:35:36.457691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dd2fbf8a-5e64-4977-9d12-91b6f3bb1661 · inbound

NEURA: A Unified and Retargetable Compilation Framework for Coarse-Grained Reconfigurable Architectures cites this paper.

NEURA: A Unified and Retargetable Compilation Framework for Coarse-Grained Reconfigurable Architectures Compiler generated feedback for Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T10:38:11.981408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe55f4d7-8adb-4e86-bc92-66bbad7b2aa2 · inbound

Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation cites this paper.

Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation Compiler generated feedback for Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:17:37.597960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f67252b5-d43c-4b0d-b330-4c41084143d2 · inbound

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations cites this paper.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Compiler generated feedback for Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-12T07:44:29.251570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bee3bc17-5578-42c9-8a6c-a9bda67eea76 · inbound

Natural-Language to SysMLv2 Translation via Conformance-Driven Iterative Refinement cites this paper.

Natural-Language to SysMLv2 Translation via Conformance-Driven Iterative Refinement Compiler generated feedback for Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T05:32:56.114651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba84424d-a6cb-45ed-a66a-5b4b816706cc · inbound

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? cites this paper.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? Compiler generated feedback for Large Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T04:38:11.223968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.