Paper Citation Record · LEDGER

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking

As of 19 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2504.16188.

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

pith.paper-citation-record.v1
2504.16188 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:15:56.344368Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

30 of 30 outbound references displayed

verified exact0
verified fuzzy19
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f15a16e4-e43a-4f95-b26a-1da6080db7e7 · outbound

This paper cites Label: neutral.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Label: neutral

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.775032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 07b589a4-4483-4633-ad6a-f8bbaed990b1 · outbound

This paper cites O’Reilly Media, Inc.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking O’Reilly Media, Inc

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.802898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a96222cf-b525-4244-84d4-67cc2fa49477 · outbound

This paper cites The Llama 3 Herd of Models.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking The Llama 3 Herd of Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:15:56.221492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f759044-3b56-4498-8fb8-f2eec6e5fa38 · outbound

This paper cites an unresolved cited work.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:15:56.690675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ebbd8052-7e2c-4558-8fd7-e0da4329c18c · outbound

This paper cites an unresolved cited work.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:15:56.676322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b43b00fc-8381-4e91-9a17-792097c1910d · outbound

This paper cites LLM Evaluators Recognize and Favor Their Own Generations.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking LLM Evaluators Recognize and Favor Their Own Generations

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:15:56.241510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eefb65b5-b65b-45f0-aaa4-afdd1f1b1a88 · outbound

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

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking BloombergGPT: A Large Language Model for Finance

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:15:56.251530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2495b12b-34bf-48b3-a9c8-f67075b5a38c · outbound

This paper cites Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:15:56.256134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fcb8aed-9780-48f2-b6e7-e01c2e2febfd · outbound

This paper cites Hypothesis: The company has completed the remodeling of approximately 126 stores using the new store prototype.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Hypothesis: The company has completed the remodeling of approximately 126 stores using the new store prototype

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.761829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6e4cd5b3-9975-4ac2-9c1c-50da0b93937c · outbound

This paper cites Hypothesis: We do not anticipate any losses from customers being unable to make their required payments, so no allowances for doubtful accounts are maintained.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Hypothesis: We do not anticipate any losses from customers being unable to make their required payments, so no allowances for doubtful accounts are maintained

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.747285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0974cac3-9ad4-4ab6-bd66-d0f5661bd9d6 · outbound

This paper cites an unresolved cited work.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:15:56.732007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6269f89b-9b77-4fee-abe4-26e286c7982c · outbound

This paper cites Consider if it adds new information, rephrases the premise, or predicts something based on the premise.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Consider if it adds new information, rephrases the premise, or predicts something based on the premise

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.718289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dbc8433b-c046-41ed-a33d-8ae4630c7cbd · outbound

This paper cites Does the hypothesis logically follow from the premise, contradict it, or is it unrelated?.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Does the hypothesis logically follow from the premise, contradict it, or is it unrelated?

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.704734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e833221-3074-4527-ad1d-6adfd9fa4cb6 · outbound

This paper cites This means the relationship between the premise and the hypothesis should involve some form of mathematical deduction.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking This means the relationship between the premise and the hypothesis should involve some form of mathematical deduction

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.662979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a85d44cf-cec1-4b21-8772-661678ade4fb · outbound

This paper cites The hypothesis should involve an inference that requires understanding dates and the relationship between different points in time.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking The hypothesis should involve an inference that requires understanding dates and the relationship between different points in time

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.648242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c6449b3c-56be-4061-99fa-34e76a71d6b7 · outbound

This paper cites Example: {examples}.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Example: {examples}

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.633828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a022de7-3de3-47d1-8897-4275c97f8e87 · outbound

This paper cites likely,".

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking likely,"

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.620080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 78301d3b-c435-4a41-8504-076299c8cbc4 · outbound

This paper cites are not phrase fragments or nonsense, which would prevent us being able to assign a label to the relationship between the premise and the hypothesis.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking are not phrase fragments or nonsense, which would prevent us being able to assign a label to the relationship between the premise and the hypothesis

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.606411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1457dff-f560-4316-8245-d0e2f6342ebd · outbound

This paper cites The hypothesis follows logically from the information contained in the premise.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking The hypothesis follows logically from the information contained in the premise

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.592231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a015d89-7b9d-4787-bffb-35e4ef2b7085 · outbound

This paper cites Depends on how confident an annotator is while defining the relation between premise and hypothesis.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Depends on how confident an annotator is while defining the relation between premise and hypothesis

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.577817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4761b984-4e52-49b6-95aa-8f590e871737 · outbound

This paper cites provide the rationale for the decision in free text form explaining why the instance is difficult, and/or why the confidence is low.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking provide the rationale for the decision in free text form explaining why the instance is difficult, and/or why the confidence is low

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.560551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 25e3c50b-bf96-4e4c-b73d-fbfbaafdea97 · outbound

This paper cites Premise: Before joining FMC Technologies, Mr.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Premise: Before joining FMC Technologies, Mr

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.545002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 40c3d7ac-f925-44d0-b1df-cc8e338f44c9 · outbound

This paper cites Premise: $700.0 $613.7 $492.1 95 Rest of World 108.6 96.0 93.9.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Premise: $700.0 $613.7 $492.1 95 Rest of World 108.6 96.0 93.9

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.530426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f2fcfcea-211b-495e-bfa3-629260a4e451 · outbound

This paper cites Net Cruise Cost less fuel expense.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Net Cruise Cost less fuel expense

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.514754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4f09a8d0-b6e1-4c9f-b2b7-e3ef8f7269d0 · outbound

This paper cites For further discussion of our annual impairment test, see the Critical Accounting Policies and Estimates section.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking For further discussion of our annual impairment test, see the Critical Accounting Policies and Estimates section

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.498452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2ccddcbf-7b67-4f3c-b9ae-11041a591cb5 · outbound

This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-16T11:15:56.226050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a218c25-c128-4bf6-ae51-1b2600875d7b · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-16T11:15:56.235867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a08725b7-a023-40e5-b45a-39ed35c2fb9d · outbound

This paper cites Transactions of the Associa- tion for Computational Linguistics, 10:1357–1374.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Transactions of the Associa- tion for Computational Linguistics, 10:1357–1374

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:15:56.789271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aa028870-9598-4aa1-b11b-6e253ac65d5f · outbound

This paper cites Self-Explaining Structures Improve NLP Models.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Self-Explaining Structures Improve NLP Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T11:15:56.246671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15819f9c-f3a4-4855-873e-e2c48466d736 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T11:15:56.210885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.