Paper Citation Record · LEDGER

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering

As of 12 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2502.07340.

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

pith.paper-citation-record.v1
2502.07340 v3

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:07:08.338704Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy6
unresolved8
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 60c0b4ea-8b30-49d8-a1cc-c9e9cc788a19 · outbound

This paper cites an unresolved cited work.

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:07:08.452391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e566d8af-5860-485a-ac25-ce7cdb09e8fa · outbound

This paper cites an unresolved cited work.

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:07:08.444901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3ca69373-5c41-4ad1-9563-21dfa0353311 · outbound

This paper cites an unresolved cited work.

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:07:08.436601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d84e9c3e-d44c-4567-b9e4-08dc7a9e2d12 · outbound

This paper cites Figure 7: The principles of human evaluation.

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering Figure 7: The principles of human evaluation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:07:08.428761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 46cf4885-7b1a-4f93-a063-c8637463cf38 · outbound

This paper cites In My Feelings.

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering In My Feelings

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:07:08.386804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bf6801b8-f8a6-4a14-84af-ea899a0b8cd3 · outbound

This paper cites Identical.

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering Identical

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:07:08.460042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 220d668f-f948-4a2d-beea-9f5718521450 · outbound

This paper cites Prompt Template.

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering Prompt Template

Reference 8

Resolution: malformed identifier; raw_fallback, observed 2026-08-08T13:07:08.467634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8aa39117-360c-490d-a259-87a7bdf505a2 · outbound

This paper cites an unresolved cited work.

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:07:08.419285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4811dcdf-3e57-4a27-89e8-b992ad8839d3 · outbound

This paper cites Shape of You.

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering Shape of You

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:07:08.411302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 60bb22ed-4176-440f-9f50-c4cda88742c8 · outbound

This paper cites Summer Nights.

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering Summer Nights

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:07:08.403175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation df30f51d-bce1-4b6f-9d37-0378d2f12e63 · outbound

This paper cites Cake by the Ocean.

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering Cake by the Ocean

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:07:08.395078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a47c7f34-8389-4031-9e37-55ad382aea61 · outbound

This paper cites Qwen2 Technical Report.

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering Qwen2 Technical Report

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-08T13:07:08.306798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f224521-83d7-4526-8853-a2ef89b881d9 · outbound

This paper cites Instruction Tuning with GPT-4.

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering Instruction Tuning with GPT-4

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T13:07:08.299133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a38e87e-603f-43d4-b015-23a800e63514 · outbound

This paper cites A Survey of Hallucination in Large Foundation Models.

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering A Survey of Hallucination in Large Foundation Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T13:07:08.302562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b416675-eaf6-433e-b784-3d726aaf998a · outbound

This paper cites Instruction Mining: Instruction Data Selection for Tuning Large Language Models.

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T13:07:08.294764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.