Paper Citation Record · LEDGER

Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2401.00788.

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

pith.paper-citation-record.v1
2401.00788 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 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:45:52.094641Z

measured 1 of 1 external citation measurements

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

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 79874aef-457d-4c60-b730-95f82e801479 · inbound

ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle cites this paper.

ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:52.094641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0f6e3c8-b283-4fb9-9b27-41e5c801c647 · inbound

The Impact of Fine-tuning Large Language Models on Automated Program Repair cites this paper.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T13:56:43.365581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e35358fe-0ffc-4bf8-b093-afaa44721e58 · inbound

An Empirical Study of Vulnerabilities in Python Packages and Their Detection cites this paper.

An Empirical Study of Vulnerabilities in Python Packages and Their Detection Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-05T10:16:13.671705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54ba2cce-ee04-4fa5-8fb6-80c70e4fb8d6 · inbound

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models cites this paper.

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T03:11:18.993480Z

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 50bb0a5d-2bc5-4efb-842d-703b4f1bbde5 · inbound

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models cites this paper.

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T06:07:22.364436Z

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 b30ba055-9d54-4c3e-8664-b87b196255d9 · inbound

LoRA vs. Full Fine-Tuning: A Theoretical Perspective cites this paper.

LoRA vs. Full Fine-Tuning: A Theoretical Perspective Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:18:16.811415Z

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 63158b33-9d39-4c6d-b802-5857273c2c2d · inbound

Rethinking Code Performance Benchmarks for LLMs cites this paper.

Rethinking Code Performance Benchmarks for LLMs Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-07-09T05:26:01.075601Z

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.