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Paper Citation Record · LEDGER

V-FiLLM: Verified Financial LLM Reasoning Benchmark

As of 12 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2608.11047.

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

pith.paper-citation-record.v1
2608.11047 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:27:14.740756Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

55 of 55 outbound references displayed

  • verified exact7
  • verified fuzzy5
  • unresolved39
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a82a223f-ce73-4e1a-86c8-524e11e4605b · outbound

This paper cites Royal Society Open Science , author =.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Royal Society Open Science , author =

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-12T11:27:15.814555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:27:14.465181Z digest=sha256:0e75ecfdcb2b01e63023624153f165b72c1739471f4aebc7fc9761c65e1e653f

Observation 18c20d07-9891-43d6-8914-389ee9b160c2 · outbound

This paper cites an unresolved cited work.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Unresolved cited work

Reference 2

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:27:14.472921Z digest=sha256:7697e7085d3e80a9aaf42f7787666f76531577ac2619c9fd3931cfc7380fb2ec

Observation d3d4b963-4817-483b-ad8c-f8a3a56859bd · outbound

This paper cites Journal of Financial Data Science , author =.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Journal of Financial Data Science , author =

Reference 3

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raw_fallback, observed 2026-08-12T11:27:15.784013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:27:14.478110Z digest=sha256:794550813ca93e41354e47c1d717c141ed71b5df70e9f381a055ecdae60c9d37

Observation 21207e7a-cb1e-403f-a346-6a4f00d03b27 · outbound

This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

V-FiLLM: Verified Financial LLM Reasoning Benchmark GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 4

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no resolver link, observed 2026-08-12T11:27:14.482978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:27:14.482978Z digest=sha256:f8e3de21ea35814647cf1450098469f822c0c7cc5e5066351f2f5674af19d196

Observation 1be2fae3-78d6-474f-b0d8-ca1693951683 · outbound

This paper cites and Schärli, Nathanael and Zhou, Denny , month = jul, year =.

V-FiLLM: Verified Financial LLM Reasoning Benchmark and Schärli, Nathanael and Zhou, Denny , month = jul, year =

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:27:15.768285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:27:14.488851Z digest=sha256:3199e56f93115bb706dc68ad30bfab38960f0789f36a8665a57fbabf87e8380f

Observation 8a2e1531-9206-4fea-8023-4fd74050eb7a · outbound

This paper cites Proceedings of the 2024.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Proceedings of the 2024

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:27:14.494069Z digest=sha256:492eeb776d7052550ecd25526c3668c2a9b36488533920ea237b91915cb1a8a7

Observation 11901028-0c03-4170-a2d9-03d864c444ab · outbound

This paper cites Proceedings of the 61st.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Proceedings of the 61st

Reference 7

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source=arxiv_source observed=2026-08-12T11:27:14.499162Z digest=sha256:0be573f509466d59eabdd39362631c127f3987c94d6f7a612afe311ecd50cbee

Observation 8275cf26-577b-4e5c-90f2-ee5a54ca28ed · outbound

This paper cites an unresolved cited work.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Unresolved cited work

Reference 8

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no resolver link, observed 2026-08-12T11:27:14.504228Z

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source=arxiv_source observed=2026-08-12T11:27:14.504228Z digest=sha256:210c35647a5e26ab4dd6e0f171e1a70c4b15f68ccb8643a45568fc797b40aa3a

Observation 638d1d04-55ae-4633-9f53-0766c56e991e · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 9

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source=arxiv_source observed=2026-08-12T11:27:14.508896Z digest=sha256:9355b7c28d9dd250c9a02f2170a588b6d6e10c27b0ee879aa87c7625814f52c8

Observation 6070be9a-045b-4b3d-b50c-a1f8e4f02ad1 · outbound

This paper cites arXiv.org , author =.

V-FiLLM: Verified Financial LLM Reasoning Benchmark arXiv.org , author =

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-12T11:27:15.742432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:27:14.514276Z digest=sha256:d8a0ed09c586204f3453d02a6aec36c973b8e465aaaeaa4f9a670ef464f64221

Observation 295d2c15-6841-4434-89b4-817a26a17ff7 · outbound

This paper cites an unresolved cited work.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Unresolved cited work

Reference 11

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:27:14.519444Z digest=sha256:a29a9287136009e7b91280f425f6ab4bb7c8fe8dd2479d151e02660003842ab9

Observation d68f7240-e2a6-436b-881e-57c7c7fcb871 · outbound

This paper cites an unresolved cited work.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Unresolved cited work

Reference 12

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:27:14.523907Z digest=sha256:9b9769c3ea8c4129652e56459ea34306119d6a2c2ab212535beed25fc5bd04ec

Observation 6dc34919-0876-49ad-8c58-b9e45926ec96 · outbound

This paper cites State of.

V-FiLLM: Verified Financial LLM Reasoning Benchmark State of

Reference 13

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:27:14.528646Z digest=sha256:a2223a8c35f660e45714dbb07b704b868ccb907433d6c5622a6e4f558c785d0f

Observation b1df4501-1674-4086-84be-0c3ad29511a4 · outbound

This paper cites Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

Reference 14

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source=arxiv_source observed=2026-08-12T11:27:14.533197Z digest=sha256:0073e89d3973446c729193dbe51ad404ba360913fa4a734d63b11f256406b0f3

Observation 2e070690-7432-4f89-9411-eadca9a51fac · outbound

This paper cites LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.

V-FiLLM: Verified Financial LLM Reasoning Benchmark LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 15

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no resolver link, observed 2026-08-12T11:27:14.538468Z

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source=arxiv_source observed=2026-08-12T11:27:14.538468Z digest=sha256:f782490b244426878c3f67cdcecb39d54f9a75b3404f8644f532aa7e23ca1a22

Observation 9a7d4f31-e938-485a-b948-ddb02759a5a4 · outbound

This paper cites Parameter-Efficient Transfer Learning for NLP.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Parameter-Efficient Transfer Learning for NLP

Reference 16

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source=arxiv_source observed=2026-08-12T11:27:14.543528Z digest=sha256:49d954358f3651a8514da2840acb438401aa5e1f8b458d3f57d398609ff28eeb

Observation 1fa46fb9-7413-44e4-8bdf-539da2ea1bae · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

V-FiLLM: Verified Financial LLM Reasoning Benchmark LoRA: Low-Rank Adaptation of Large Language Models

Reference 17

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source=arxiv_source observed=2026-08-12T11:27:14.548592Z digest=sha256:0350d9ba45de0944e52ea9327142a95815508f7289a40d651c32f6da8e0c7f96

Observation f8aa8649-599e-4745-9a40-a696840490cf · outbound

This paper cites Faith and Fate: Limits of Transformers on Compositionality.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Faith and Fate: Limits of Transformers on Compositionality

Reference 18

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source=arxiv_source observed=2026-08-12T11:27:14.554690Z digest=sha256:b286a31aed0668f825b9b9a86c017b6fc9dd63ae28c604827cbb25d853fffcd0

Observation 8cfed1da-fdef-44d5-9985-0b5c4f905fae · outbound

This paper cites Compositional.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Compositional

Reference 19

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source=arxiv_source observed=2026-08-12T11:27:14.559559Z digest=sha256:475bc98e75422176a9c24f197656e5dec5737d38fa84f112882c12947966e73d

Observation dd3966e0-d8c0-4322-870a-048d2854dae9 · outbound

This paper cites Findings of the.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Findings of the

Reference 20

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source=arxiv_source observed=2026-08-12T11:27:14.564906Z digest=sha256:44194958429e8beec8ea810bf9610d530afce63078419fe6882430e1119c4917

Observation 91bf9fc0-82d3-427b-aa8d-ebad0bdf38b9 · outbound

This paper cites DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks.

V-FiLLM: Verified Financial LLM Reasoning Benchmark DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks

Reference 21

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source=arxiv_source observed=2026-08-12T11:27:14.569773Z digest=sha256:9057772ad68d7e90bd2834c69dcafddc94d56b60f22e28ef4dd715a9d7b2d8bf

Observation 24d6dea3-d680-4ed2-ad79-01097e3172ee · outbound

This paper cites BizBench: A Quantitative Reasoning Benchmark for Business and Finance.

V-FiLLM: Verified Financial LLM Reasoning Benchmark BizBench: A Quantitative Reasoning Benchmark for Business and Finance

Reference 22

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:27:14.574849Z digest=sha256:f7593c263b328cad57df7058613903fff588350b63f9bd9b35f1a6bffdf0ea7b

Observation 7f11c845-30cd-4694-ad99-33752ee8ad1e · outbound

This paper cites MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data.

V-FiLLM: Verified Financial LLM Reasoning Benchmark MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data

Reference 23

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source=arxiv_source observed=2026-08-12T11:27:14.579823Z digest=sha256:bab4771a64718c21973b0e972017136fb5c06ec096ec1ade0c412fde3e9d20c9

Observation ce0b6129-7434-4486-baee-307b062af219 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

V-FiLLM: Verified Financial LLM Reasoning Benchmark GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 24

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source=arxiv_source observed=2026-08-12T11:27:14.584718Z digest=sha256:c5d2381ea45969c9bb38894ef9e9fbdcb93c9f1748d58dc658904c1ca782d5d6

Observation d8e4b936-32ed-49d7-8968-d03e5810c415 · outbound

This paper cites Findings of the.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Findings of the

Reference 25

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source=arxiv_source observed=2026-08-12T11:27:14.590042Z digest=sha256:6a893fb37a1dcb0ae296a417610f23c0e14da0decf9d634d35942950917cbf1c

Observation a4c2a1a7-ee44-4d37-8fbb-5b987b6af374 · outbound

This paper cites TabFact: A Large-scale Dataset for Table-based Fact Verification.

V-FiLLM: Verified Financial LLM Reasoning Benchmark TabFact: A Large-scale Dataset for Table-based Fact Verification

Reference 26

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source=arxiv_source observed=2026-08-12T11:27:14.594944Z digest=sha256:c943cf2939f616277f7679d1685591b474fd1ee1d00faa98e3d1df50d0698a4b

Observation f1adfcf5-f805-47ce-beca-cfd2b880a6bb · outbound

This paper cites doi:10.48550/arXiv.2509.25160 , abstract =.

V-FiLLM: Verified Financial LLM Reasoning Benchmark doi:10.48550/arXiv.2509.25160 , abstract =

Reference 27

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doi, observed 2026-08-12T11:27:15.425169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:27:14.600117Z digest=sha256:4de6d934218b7f6b6372a3a55b752ab3b11b0f6a90e49f7500270e06c4841cda

Observation e3a3cd35-f541-4820-a96e-53553c5be3c1 · outbound

This paper cites DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.

V-FiLLM: Verified Financial LLM Reasoning Benchmark DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

Reference 28

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source=arxiv_source observed=2026-08-12T11:27:14.604742Z digest=sha256:e0238d9a661b29ce0ff7c258314f300c07b2b35ae1f825104f9871b2762f0520

Observation 42a7500a-9b27-4ba5-b9bb-d96447bfe60d · outbound

This paper cites TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance.

V-FiLLM: Verified Financial LLM Reasoning Benchmark TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 29

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source=arxiv_source observed=2026-08-12T11:27:14.609994Z digest=sha256:acda149d36c62a8935ca0a504f5e5c20878e338967d6b676435fbf0550547cb0

Observation 8500b8c7-4524-488f-aecf-0c407067f575 · outbound

This paper cites DORO: Distributional and Outlier Robust Optimization.

V-FiLLM: Verified Financial LLM Reasoning Benchmark DORO: Distributional and Outlier Robust Optimization

Reference 30

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local_arxiv, observed 2026-08-12T11:27:15.309985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:27:14.615115Z digest=sha256:18e591a5034575fde498af07fcda640962853c3f5c266d18e47f7ed93c0dfa5c

Observation 17ebcb4b-0bde-442b-839a-eb79b1d79672 · outbound

This paper cites and Haghgoo, Behzad and Chen, Annie S.

V-FiLLM: Verified Financial LLM Reasoning Benchmark and Haghgoo, Behzad and Chen, Annie S

Reference 31

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raw_fallback, observed 2026-08-12T11:27:15.710880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:27:14.620342Z digest=sha256:24b467bd863e5a70b5b6ce056a2ca7278702480e7ee22153d3bc38fe44394069

Observation 893c57f4-7fcf-481f-8125-1d612ac6cda5 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 32

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source=arxiv_source observed=2026-08-12T11:27:14.625334Z digest=sha256:4cb014d0b8af1b69116490ca8e25f3fe46e3b22889a24b146f762aa756cbe55d

Observation c5b2f6bc-9153-46e8-b5f2-fa4d890b401a · outbound

This paper cites Evaluating.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Evaluating

Reference 33

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source=arxiv_source observed=2026-08-12T11:27:14.630485Z digest=sha256:f262b7dfc7da2f985da311142d7f46ca2e4361d0972981e82f97a382bf300be2

Observation 6a11c748-9428-41a6-be10-d3b0609dc4f5 · outbound

This paper cites Enabling.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Enabling

Reference 34

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source=arxiv_source observed=2026-08-12T11:27:14.635401Z digest=sha256:e569484342305cd106e95774260a588166d5fd03fd5f578a2126e54d22e06448

Observation 70fd02e5-b0f8-4348-a893-5c06c9662ec1 · outbound

This paper cites Measuring.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Measuring

Reference 35

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source=arxiv_source observed=2026-08-12T11:27:14.640336Z digest=sha256:eb76c8682c3ea0641ebad832c80a13d83eea6e04d1add0bdd6d603cb6cc2a5c9

Observation 435d29ca-81d3-40cf-8d41-72191df3d903 · outbound

This paper cites Advances in Neural Information Processing Systems , author =.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Advances in Neural Information Processing Systems , author =

Reference 36

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source=arxiv_source observed=2026-08-12T11:27:14.645389Z digest=sha256:243ea5f406a08a9b24ee192a5d065bdb18134dced88259a742d8164c008a3d81

Observation 6ae0a78c-693f-4c9c-a4ba-6c5ab9043d4e · outbound

This paper cites DeepSciVerify: Verifying Scientific Claim--Citation Alignment via LLM-Driven Evidence Escalation.

V-FiLLM: Verified Financial LLM Reasoning Benchmark DeepSciVerify: Verifying Scientific Claim--Citation Alignment via LLM-Driven Evidence Escalation

Reference 37

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local_arxiv, observed 2026-08-12T11:27:15.239546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:27:14.649731Z digest=sha256:3ad25995fef363c3619644c3ca02ab4f429537532347819a44b7d42710d98c05

Observation 0786b739-323b-406d-81cf-1a8b92555a4d · outbound

This paper cites Evaluating Large Language Models at Evaluating Instruction Following.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Evaluating Large Language Models at Evaluating Instruction Following

Reference 38

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unresolved
no resolver link, observed 2026-08-12T11:27:14.654832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:27:14.654832Z digest=sha256:2a0915ebc019aa81b30fb8001b3f8d4323b30bebb7a75e33a774aaaa5f3fa06d

Observation 04ce2feb-6030-4475-83fc-3616d40e9a35 · outbound

This paper cites Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T11:27:14.659813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:27:14.659813Z digest=sha256:2017003f4844732b304425caba0f7f24be4d11756aa8ad0871a48db82148a085

Observation 372cb7e0-17b5-4fbf-9a42-f20d3b8c57c3 · outbound

This paper cites an unresolved cited work.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Unresolved cited work

Reference 40

Resolution
verified exact
doi, observed 2026-08-12T11:27:15.181180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:27:14.664613Z digest=sha256:5c6d0644a4dfa380fa477618fe1268b0019124a377fb8456ddc78145bd723afd

Observation 28a4c5a3-e92b-42c4-953e-6024c09ca0c6 · outbound

This paper cites Proceedings of the 63rd.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Proceedings of the 63rd

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T11:27:14.669429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:27:14.669429Z digest=sha256:1ab6f7bb40b6d64eec1908235801a5382995cbd8adf8131c7013f5cd77ce1a46

Observation 3e170810-b0cb-4fdf-893b-cedca4f5aa9b · outbound

This paper cites an unresolved cited work.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Unresolved cited work

Reference 42

Resolution
verified exact
doi, observed 2026-08-12T11:27:15.100351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:27:14.675157Z digest=sha256:442fccbdb86a1d65b4125efba5c038c6386607206dd340106e7d14b2018efd99

Observation a744e5b3-94de-4f9c-abd5-b48e66509e8b · outbound

This paper cites On the Limits of LLM-as-Judge for Scientific Novelty Assessment.

V-FiLLM: Verified Financial LLM Reasoning Benchmark On the Limits of LLM-as-Judge for Scientific Novelty Assessment

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T11:27:14.679948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:27:14.679948Z digest=sha256:03270b99a327efef6ac63c5ea41f9d63ab584fb505b6fbc94ea1175195bece19

Observation 25cb44d5-be12-404e-bdc6-331dd3e08d6b · outbound

This paper cites and Goel, Pranav and Stoehr, Niklas and Ash, Elliott and Hoyle, Alexander Miserlis , editor =.

V-FiLLM: Verified Financial LLM Reasoning Benchmark and Goel, Pranav and Stoehr, Niklas and Ash, Elliott and Hoyle, Alexander Miserlis , editor =

Reference 44

Resolution
verified exact
doi, observed 2026-08-12T11:27:14.973197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:27:14.684978Z digest=sha256:5c9db5804caeb883ddb4adad4e2dc048198f198b22a3dfa15f098928fcb1f6d4

Observation c4fff4a4-17d5-4146-894e-98057756c811 · outbound

This paper cites Cited but Not Verified: Parsing and Evaluating Source Attribution in LLM Deep Research Agents.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Cited but Not Verified: Parsing and Evaluating Source Attribution in LLM Deep Research Agents

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T11:27:14.690819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:27:14.690819Z digest=sha256:1afce545e11bf9e768f33f8b2c38e8543825370f975b29ff14af8c46503955f2

Observation 9743ab4e-951d-4903-8156-94fb349244f4 · outbound

This paper cites AURA: Adaptive Uncertainty-aware Refinement for LLM-as-a-Judge Auditing.

V-FiLLM: Verified Financial LLM Reasoning Benchmark AURA: Adaptive Uncertainty-aware Refinement for LLM-as-a-Judge Auditing

Reference 46

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T11:27:14.941244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:27:14.695950Z digest=sha256:3c8d324730510c2086cfa008d0e29c9c578cb41f5dc1f83c73127277ec0dc81a

Observation c487bd08-d28b-4bf6-966a-6ce5fbfbb600 · outbound

This paper cites Rethinking Literature Search Evaluation: Deep Research Helps, and Human Citation Lists Are Not a Ground Truth.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Rethinking Literature Search Evaluation: Deep Research Helps, and Human Citation Lists Are Not a Ground Truth

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-12T11:27:14.919387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:27:14.700894Z digest=sha256:5b35bbea359333bb289c12a868ce63afc5a7881edf63635e8274b89e2eacba60

Observation 71e4d072-acbd-4332-aee2-764f35a263fd · outbound

This paper cites Citation Grounding Measures the Oracle: Graph Coverage Determines Reported LLM Hallucination Rates in Law.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Citation Grounding Measures the Oracle: Graph Coverage Determines Reported LLM Hallucination Rates in Law

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-12T11:27:14.897265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:27:14.705829Z digest=sha256:04808930d4e07cd924671a2a434c76b1f69454445c460c94afa3bda1ec9b113b

Observation a5c890be-981e-49d4-b186-c5aec3ffd088 · outbound

This paper cites LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models.

V-FiLLM: Verified Financial LLM Reasoning Benchmark LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T11:27:14.710985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:27:14.710985Z digest=sha256:905372a0b002fe559b62e956c0543ea984637e63f9d8899ae1548750e441f08f

Observation 6f21bfed-a74f-4d0c-bbe5-4c08ef2704e8 · outbound

This paper cites Findings of the.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Findings of the

Reference 50

Resolution
verified exact
doi, observed 2026-08-12T11:27:14.858172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:27:14.716472Z digest=sha256:4cd770bd47176bdd7a6af043f6d9ec9328f1384610ecabdd62f02d9606df2940

Observation b9d8cbf2-89a2-4078-8134-c665b339f574 · outbound

This paper cites FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets.

V-FiLLM: Verified Financial LLM Reasoning Benchmark FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T11:27:14.721155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:27:14.721155Z digest=sha256:580f5dde48577260bf258409296ae69da5f065b0fa83f6e7ca243663e67e0f68

Observation 3e500578-578c-4cfb-892c-0023d18ce1c8 · outbound

This paper cites FinanceBench: A New Benchmark for Financial Question Answering.

V-FiLLM: Verified Financial LLM Reasoning Benchmark FinanceBench: A New Benchmark for Financial Question Answering

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T11:27:14.726217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:27:14.726217Z digest=sha256:153995a2f33e22e81919b934c38e03335df876832a44ab55efb15d0e5a9b8e3d

Observation df4e0999-fe47-4441-a68f-e71cba2bccb3 · outbound

This paper cites Beyond Knowledge to Agency: Evaluating Expertise, Autonomy, and Integrity in Finance with CNFinBench.

V-FiLLM: Verified Financial LLM Reasoning Benchmark Beyond Knowledge to Agency: Evaluating Expertise, Autonomy, and Integrity in Finance with CNFinBench

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T11:27:14.730913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:27:14.730913Z digest=sha256:219536db9bac8b2f7a7580c70160818291ad2d5c31f30f56c196b26fabe5f1b7

Observation 788d2f23-0e55-4f54-9dbb-b24f9e08b1af · outbound

This paper cites ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering.

V-FiLLM: Verified Financial LLM Reasoning Benchmark ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-12T11:27:14.735752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:27:14.735752Z digest=sha256:5f6a0465a336fdc1f19b4c407a0fa84cef11adfb81a5d114ee859eab6ec7fb68

Observation 1e72da66-2209-4f13-bfee-8d4b5c18002b · outbound

This paper cites FinQA: A Dataset of Numerical Reasoning over Financial Data.

V-FiLLM: Verified Financial LLM Reasoning Benchmark FinQA: A Dataset of Numerical Reasoning over Financial Data

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-12T11:27:14.740756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:27:14.740756Z digest=sha256:225d5cd3e87378cb3f598d0b86529b305764bcf77a3e7237a8a0972004bb88c2

Pith citing papers

No inbound Pith citation observations are available.