Paper Citation Record · LEDGER

Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning

As of 11 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 2 inbound Pith citation observations for arXiv:2507.00214.

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

pith.paper-citation-record.v1
2507.00214 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:24:15.098291Z

measured 14 of 14 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:19:38.838228Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T04:20:38.770680Z

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy8
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 68c0f5d8-697f-4d1e-adbb-e7c39f09bca1 · outbound

This paper cites Meta llama 3.2: A 1.4t parameter class of language models.

Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning Meta llama 3.2: A 1.4t parameter class of language models

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:17.583559Z

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 0c31d66a-8405-4512-be6f-4d5cb26628ff · outbound

This paper cites Language Models are Few-Shot Learners.

Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning Language Models are Few-Shot Learners

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:13.668124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80e9fbb4-04b0-4111-b6bb-22b9cc2c555e · outbound

This paper cites e-snli: Natural language inference with natural language explanations.

Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning e-snli: Natural language inference with natural language explanations

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:17.278400Z

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 aede28e9-e95e-46b4-855b-40ecd1e14082 · outbound

This paper cites Speech and language processing: An introduction to natural language processing, computational linguis- tics, and speech recognition.

Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning Speech and language processing: An introduction to natural language processing, computational linguis- tics, and speech recognition

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:17.028383Z

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 d3b1d927-3db0-4c6b-b3a0-9acacc65efac · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning Large Language Models are Zero-Shot Reasoners

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:14.106002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40d361ea-56f6-49e0-a15c-44f370f7add3 · outbound

This paper cites Rationalizing neural predictions.

Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning Rationalizing neural predictions

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:16.788093Z

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 8fb9bdad-175f-4d4f-84f0-9225a02e83c4 · outbound

This paper cites Explain yourself! : Leveraging language models for faithful rationalization.

Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning Explain yourself! : Leveraging language models for faithful rationalization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:16.489705Z

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 1f29e859-432e-4006-929a-2e87d373e5ae · outbound

This paper cites ”why should i trust you?”: Explaining the predictions of any classifier.

Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning ”why should i trust you?”: Explaining the predictions of any classifier

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:16.207005Z

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 c16c6999-ecf5-49fa-9049-7a578abee7de · outbound

This paper cites A survey on image data augmentation for deep learning.

Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning A survey on image data augmentation for deep learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:15.913864Z

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 11ec0221-b304-4f83-b3be-d36443d31fa7 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning LLaMA: Open and Efficient Foundation Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:14.795218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3869cd2-f97b-4392-9b48-9a003c7a6a40 · outbound

This paper cites Chain-of-thought prompting elicits rea- soning in large language models.

Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning Chain-of-thought prompting elicits rea- soning in large language models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:15.588195Z

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 a3bf2887-271a-43c9-8933-374b8833e871 · outbound

This paper cites Spiraling of sub-Riemannian geodesics around the Reeb flow in the 3D contact case.

Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning Spiraling of sub-Riemannian geodesics around the Reeb flow in the 3D contact case

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T21:24:15.341675Z

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.

Pith citing papers

Observation 9e0e56dc-e793-4bab-aeee-06f6687bb1b0 · inbound

Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques cites this paper.

Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-10T04:20:38.775257Z

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 875fdb2c-3ae5-4bed-9f40-11169a2a50a6 · inbound

Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques cites this paper.

Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques Two-Stage Reasoning-Infused Learning: Improving Classification with LLM-Generated Reasoning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T04:19:38.838228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.