Paper Citation Record · LEDGER

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data

As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2502.09172.

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

pith.paper-citation-record.v1
2502.09172 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:26:41.612940Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:02:54.235435Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:55:19.583259Z

Reference resolution

23 of 23 outbound references displayed

verified exact2
verified fuzzy6
unresolved14
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d6fa46b2-1465-48cd-8101-c89598c1e95e · outbound

This paper cites Defazio, A.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data Defazio, A

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:26:41.847166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4aa08a77-7033-4db8-8e46-d13d344bf3f4 · outbound

This paper cites 3https://lobsterdata.com/info/DataStructure.php 13 LOB-Bench: Benchmarking Generative AI for Finance C.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data 3https://lobsterdata.com/info/DataStructure.php 13 LOB-Bench: Benchmarking Generative AI for Finance C

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:26:41.816693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3d64cf50-9894-46c4-8c4c-033c6af6cb94 · outbound

This paper cites an unresolved cited work.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T22:26:41.785693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8be07f49-01db-4115-9185-6214c7097da0 · outbound

This paper cites A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T22:26:41.569064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 489dc5fc-a9a8-49ff-923c-ce1646aaf621 · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data RWKV: Reinventing RNNs for the Transformer Era

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T22:26:41.575690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8a0f24d-b9fb-45c5-a237-1b5fb60b0a2b · outbound

This paper cites The square-root impact law also holds for option markets.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data The square-root impact law also holds for option markets

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:26:41.836996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fffba295-21a3-49d8-a649-c456dcc5e0d3 · outbound

This paper cites PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T22:26:41.594037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40300373-a4e1-41a8-8e1a-33a5db0c13d3 · outbound

This paper cites an unresolved cited work.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T22:26:41.826368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1a9dc3c1-087d-48ce-bf2a-54bd5b9b08ab · outbound

This paper cites We divide each dataset into chunks of 16384 tokens, and randomly shuffle these chunks for training.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data We divide each dataset into chunks of 16384 tokens, and randomly shuffle these chunks for training

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:26:41.807110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ae4ea634-99cc-44c9-94cd-6a771d18ed7d · outbound

This paper cites For stability, we clipped the maximum global gradient norm to 1.0 (Pascanu et al., 2013).

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data For stability, we clipped the maximum global gradient norm to 1.0 (Pascanu et al., 2013)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:26:41.796204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fa7ef8f5-8fb5-475e-afb6-26d6941cbca3 · outbound

This paper cites doi: 10.1080/713665670.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data doi: 10.1080/713665670

Reference 2001

Resolution: unresolved; no resolver link, observed 2026-08-07T22:26:41.543992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46d68763-4342-444c-b842-70f9a2c2c71c · outbound

This paper cites doi: 10.1088/1469-7688/2/ 5/303.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data doi: 10.1088/1469-7688/2/ 5/303

Reference 2002

Resolution: malformed identifier; doi_truncated, observed 2026-08-07T22:26:41.669384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e2b82267-036f-45b7-b74f-a7e7d7c17ef1 · outbound

This paper cites The price impact of order book events.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data The price impact of order book events

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T22:26:41.857139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 52c2e6b7-fd16-403b-a150-a222f0e046b9 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data Adam: A Method for Stochastic Optimization

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-07T22:26:41.554722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10867e24-02ae-4126-93f9-b0b143720e31 · outbound

This paper cites On the difficulty of training Recurrent Neural Networks.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data On the difficulty of training Recurrent Neural Networks

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-07T22:26:41.572455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bc51758-bed5-4a9e-837d-43e495bfec77 · outbound

This paper cites doi: 10.18653/v1/P16-1162.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data doi: 10.18653/v1/P16-1162

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T22:26:41.583030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f875d415-1534-46c7-9888-d5b2eafcd28c · outbound

This paper cites Attention Is All You Need.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data Attention Is All You Need

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T22:26:41.590430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11b4a4c8-347c-46ea-ba33-15b00dd1430a · outbound

This paper cites doi: 10.1007/s10588-017-9258-0.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data doi: 10.1007/s10588-017-9258-0

Reference 2018

Resolution: verified exact; doi, observed 2026-08-07T22:26:41.652179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1062213d-56cc-4b35-a17b-d36f0cebd99e · outbound

This paper cites 1D Convolutional Neural Networks and Applications: A Survey.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data 1D Convolutional Neural Networks and Applications: A Survey

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T22:26:41.558497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08f38e68-96f7-4556-bb73-b8e1561c119d · outbound

This paper cites DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-07T22:26:41.774497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7388a74f-c518-486a-a26c-1798488732dc · outbound

This paper cites Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T22:26:41.579105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af7f9ef6-f04e-4ae5-a0f7-ad33e215bf6a · outbound

This paper cites AutoTimes: Autoregressive Time Series Forecasters via Large Language Models.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T22:26:41.562302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7776ba5-50dd-40a6-8c3c-1d696f61db06 · outbound

This paper cites URL https://www.worldscientific.com/doi/ abs/10.1142/S2382626615500070.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data URL https://www.worldscientific.com/doi/ abs/10.1142/S2382626615500070

Reference 6266

Resolution: unresolved; no resolver link, observed 2026-08-07T22:26:41.530389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation bb04cedf-ca25-4e17-8107-ab07df575cbc · inbound

Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation cites this paper.

Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:55:19.585439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6cce33ae-0c19-45be-9f81-fb0cad7ac43e · inbound

Prospects of Imitating Trading Agents in the Stock Market cites this paper.

Prospects of Imitating Trading Agents in the Stock Market LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T13:02:54.235435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.