Paper Citation Record · LEDGER

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains

As of 15 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 3 inbound Pith citation observations for arXiv:2501.14431.

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

pith.paper-citation-record.v1
2501.14431 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:13:44.053953Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:46:57.366795Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:57:09.922347Z

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy2
unresolved12
parse uncertain0
malformed identifier2
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bdc7e401-0981-457e-8571-8602e80297ce · outbound

This paper cites an unresolved cited work.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:13:46.204860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 99b68e9f-89e6-4e43-b5b2-47ea5eeb3a9f · outbound

This paper cites an unresolved cited work.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:13:46.084827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a3dd84cd-f9f5-4e66-9426-f354dc00964f · outbound

This paper cites an unresolved cited work.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:13:45.965123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cbf33195-3d7e-442e-8cd0-269a4db094f1 · outbound

This paper cites an unresolved cited work.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:13:45.868845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ab5d8d34-3358-42f0-b686-3791ed038cdb · outbound

This paper cites Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T15:13:43.276912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1654f0ae-fac7-4dab-876a-0c4cd91e19b0 · outbound

This paper cites Large Language Models are Better Reasoners with Self-Verification.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains Large Language Models are Better Reasoners with Self-Verification

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T15:13:43.413912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 373246ab-d231-4744-abcb-06c67d012b4b · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains BloombergGPT: A Large Language Model for Finance

Reference 8

Resolution: malformed identifier; no resolver link, observed 2026-08-10T15:13:43.496100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af98068c-d573-4641-9925-bea416c047f4 · outbound

This paper cites Buy" to.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains Buy" to

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:13:45.754752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1ebce22b-5752-42a1-be84-4ddc147527f0 · outbound

This paper cites an unresolved cited work.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:13:45.584923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7d9c26cd-d1a8-47ad-ba14-8e9b3f52bff9 · outbound

This paper cites an unresolved cited work.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:13:45.454751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 048b0c2e-ef98-4733-8fcc-8aa4a448d9db · outbound

This paper cites court jurisdiction applies only to non-consumers, which is irrelevant if the user qualifies as a consumer.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains court jurisdiction applies only to non-consumers, which is irrelevant if the user qualifies as a consumer

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:13:45.329755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1c723f08-e1f2-4cb9-9c28-ec04851fcf42 · outbound

This paper cites If you are a consumer, the laws of the country in which you reside will apply.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains If you are a consumer, the laws of the country in which you reside will apply

Reference 17

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T15:13:45.199425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2d61c7a2-b5e4-46d4-bfb4-12c5d757fada · outbound

This paper cites Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models

Reference 1467

Resolution: unresolved; no resolver link, observed 2026-08-10T15:13:43.119305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d71650b0-7711-44f9-a3dd-a2eb8f56e81d · outbound

This paper cites Lawma: The Power of Specialization for Legal Annotation.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains Lawma: The Power of Specialization for Legal Annotation

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-10T15:13:43.226258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09c4900a-ecdf-4fd3-a10f-785befba879e · outbound

This paper cites SaulLM-7B: A pioneering Large Language Model for Law.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains SaulLM-7B: A pioneering Large Language Model for Law

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T15:13:43.218820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aa3d0af-22b3-4c1c-b2d7-fd0826e0c0d3 · outbound

This paper cites Parameter-Efficient Legal Domain Adaptation.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains Parameter-Efficient Legal Domain Adaptation

Reference 2022

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T15:13:44.557887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bacc6717-4737-409c-8cd0-2105811a450a · outbound

This paper cites HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T15:13:43.282213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation eaee9fe0-d871-4513-a911-4c97683c6145 · inbound

Qwen Look Again: Guiding Vision-Language Reasoning Models to Re-attention Visual Information cites this paper.

Qwen Look Again: Guiding Vision-Language Reasoning Models to Re-attention Visual Information Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:46:57.366795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a949fc7-ad61-42f2-bd1f-849f64e4e844 · inbound

Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization cites this paper.

Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:37:29.985874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aa4ff1f5-42f5-4a62-96a0-4dbdd8857c3d · inbound

MADE: Beyond Scoring via a Multilingual Agentic Diagnosing Engine for Fine-Grained Evaluation Insights cites this paper.

MADE: Beyond Scoring via a Multilingual Agentic Diagnosing Engine for Fine-Grained Evaluation Insights Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:57:09.923767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.