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Paper Citation Record · LEDGER

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing?

As of 20 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2608.00909.

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

pith.paper-citation-record.v1
2608.00909 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:45:26.744275Z

measured 47 of 47 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

47 of 47 outbound references displayed

  • verified exact4
  • verified fuzzy19
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1cd8c570-2fae-49df-92c1-7a4c71ddb22a · outbound

This paper cites 2023 , doi=.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? 2023 , doi=

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:45:34.138290Z

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.

source=arxiv_source observed=2026-08-06T00:45:22.583117Z digest=sha256:362e2a56bc0dfea705db737b8c338175db583078a9d79a0f7c2932768a910102

Observation bf819ab1-59be-4583-aa32-b7f7e03c349a · outbound

This paper cites Information Sciences , volume=.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Information Sciences , volume=

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:45:33.949734Z

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.

source=arxiv_source observed=2026-08-06T00:45:22.661614Z digest=sha256:ecfc4176efe6857fbb4b5d599270624a99ac9e5143b3627717ea8a11ffe05095

Observation c5860ec5-330e-4b36-ad0b-f76aa179ac99 · outbound

This paper cites The Role of.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? The Role of

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:45:33.748177Z

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.

source=arxiv_source observed=2026-08-06T00:45:22.708760Z digest=sha256:ec8f0e93d30fd62e8557fd2485ee60bf4c1d198f26b23255aa9c2daca51b9a3e

Observation 81d7df23-482a-4856-aef6-546123cc94c6 · outbound

This paper cites Comprehensive.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Comprehensive

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:45:33.529250Z

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.

source=arxiv_source observed=2026-08-06T00:45:22.816173Z digest=sha256:9f44ecf5942dd9ceb8d3f8aa755b7cfcbde0dbc0060d7075de737c8fc9573a7b

Observation d8a3a02a-df2d-4254-9d27-98f705a5826f · outbound

This paper cites an unresolved cited work.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:45:33.405048Z

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.

source=arxiv_source observed=2026-08-06T00:45:22.890911Z digest=sha256:36721d2afda817c4b2e81e6458489f9ea6b501b1bf470f96395202292728c982

Observation 0eea6162-eeb4-42a7-ac3c-3a44f8541617 · outbound

This paper cites an unresolved cited work.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:45:33.211024Z

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.

source=arxiv_source observed=2026-08-06T00:45:22.947270Z digest=sha256:85ebd5fbff83e3f8517962ee936836da617f0b18a8bfff0464e347aa3bd09444

Observation d0e29a3d-4ac1-42e5-8bf2-a3864f67c571 · outbound

This paper cites an unresolved cited work.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:45:33.024799Z

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.

source=arxiv_source observed=2026-08-06T00:45:23.018135Z digest=sha256:b0463197a8d844c82eea5313b8d064a3cc90ddafc7803e686ffef07411adcf9b

Observation c80b3f5f-259d-44e4-8595-030152e8ded5 · outbound

This paper cites an unresolved cited work.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:45:32.820322Z

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.

source=arxiv_source observed=2026-08-06T00:45:23.113380Z digest=sha256:74aa027f2622a4b9af4582f44bf68a4ce93a30f62332c2455eaa05905f757a29

Observation 6a6a29a1-583a-4ff1-bbbf-9d42dca67c0b · outbound

This paper cites an unresolved cited work.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:45:32.657659Z

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.

source=arxiv_source observed=2026-08-06T00:45:23.218460Z digest=sha256:c79779204dcdfe2c68cabea55938f1985c6812f94153451c0f3b0dc9cbf9e0ea

Observation f327f778-b1aa-4bf3-b164-4edf1c4e9962 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Advances in Neural Information Processing Systems (NeurIPS) , year=

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:45:32.478866Z

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.

source=arxiv_source observed=2026-08-06T00:45:23.298233Z digest=sha256:a40df5b2b8056642db9310b580b9de144d8c5482b5ca01bb5d17883efcc21c23

Observation d8ab1861-38c8-4741-94d3-3c1825156b17 · outbound

This paper cites Exploring code language models for automated.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Exploring code language models for automated

Reference 11

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raw_fallback, observed 2026-08-06T00:45:32.296898Z

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.

source=arxiv_source observed=2026-08-06T00:45:23.395026Z digest=sha256:0cbaf250b7ddcfcec620226e27d820512ffb7f7af51825de910634b18c443d4e

Observation 8d088125-ed99-4f43-88f8-b6187d5129f1 · outbound

This paper cites Build fast, trade fast:.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Build fast, trade fast:

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:45:32.114641Z

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.

source=arxiv_source observed=2026-08-06T00:45:23.471214Z digest=sha256:01543213016743132040d554399a1b41daeb37b34811acc289bbb9059cd56dda

Observation 45e2e343-94e6-4681-8593-fbe72a9226b2 · outbound

This paper cites A low-latency library in.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? A low-latency library in

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:45:31.929295Z

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.

source=arxiv_source observed=2026-08-06T00:45:23.558066Z digest=sha256:8f46ecb33b216e74b41089d16816964f39e0a8ba8a9a0d56d0c86d7ef0dd9c15

Observation 4caafdf7-13bd-4efe-a771-086878693875 · outbound

This paper cites an unresolved cited work.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:45:31.766686Z

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.

source=arxiv_source observed=2026-08-06T00:45:23.634386Z digest=sha256:c0b31277fa5d3015097065dfe5e0db8ed444033fff1dab293663824665496ce2

Observation 888e4d61-ad7d-451b-af59-d37cba81bced · outbound

This paper cites 2021 , doi=.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? 2021 , doi=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:45:31.600349Z

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.

source=arxiv_source observed=2026-08-06T00:45:23.738883Z digest=sha256:b8be1f5fc3b19c0cd87ca7004aa63a2e8b9ecc2e7dab09a8193d71fae023c993

Observation 70911218-a3ee-4989-999a-9cc05b247288 · outbound

This paper cites an unresolved cited work.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:45:31.349445Z

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.

source=arxiv_source observed=2026-08-06T00:45:23.849400Z digest=sha256:aa3de963f94c3529ea53e443ae850cc1754bd93e91a2003bca8fe04251184ee2

Observation ae41aa1e-9b21-43b1-b405-831503132e86 · outbound

This paper cites Real-time order book building and snapshot generating for high frequency trading on.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Real-time order book building and snapshot generating for high frequency trading on

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:45:31.111567Z

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.

source=arxiv_source observed=2026-08-06T00:45:23.928360Z digest=sha256:7fc324e628999ae5511865fb43b19f9d281aae0e2f384164b3f6fb1a83d706d6

Observation e043216b-5ab1-4886-a9f3-39c26ff79266 · outbound

This paper cites Large language model for.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Large language model for

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:45:30.947184Z

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.

source=arxiv_source observed=2026-08-06T00:45:24.028666Z digest=sha256:78914c20337890346e2172248847920968612a87037dc14f89f8e970bee92f19

Observation 22c433fc-05fc-4048-a0b1-27ed5342fed6 · outbound

This paper cites an unresolved cited work.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Unresolved cited work

Reference 19

Resolution
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raw_fallback, observed 2026-08-06T00:45:30.809528Z

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.

source=arxiv_source observed=2026-08-06T00:45:24.134982Z digest=sha256:c33e5d8799e0be469e188f5eb1eab5fe6b0a542bd4642ab847a0873fa7cb00d6

Observation e9224f7e-d044-4d55-aa70-fd7cba8b0456 · outbound

This paper cites 2026 , doi=.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? 2026 , doi=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:45:30.619107Z

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.

source=arxiv_source observed=2026-08-06T00:45:24.246419Z digest=sha256:a9ec6ca6c9af57ae3918c48bcfd9553afb8bbe150172615ae9f1ad27e18990d6

Observation de05af08-964b-48e2-9237-008aef0fb894 · outbound

This paper cites NAECON , year=.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? NAECON , year=

Reference 21

Resolution
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raw_fallback, observed 2026-08-06T00:45:30.407261Z

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.

source=arxiv_source observed=2026-08-06T00:45:24.356164Z digest=sha256:a2a8a862327c03f8b4ef781f68900d00a8c16cd1af30edf13d925dabd71fb588

Observation 8020027a-3d84-4f90-9269-57219e0e1885 · outbound

This paper cites IEEE International Performance Computing and Communications Conference (IPCCC) , year=.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? IEEE International Performance Computing and Communications Conference (IPCCC) , year=

Reference 22

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raw_fallback, observed 2026-08-06T00:45:30.200824Z

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.

source=arxiv_source observed=2026-08-06T00:45:24.460133Z digest=sha256:f9470434f5e32dc6eee86b2805d8b012b767d2a64f8388c62302885d93a987aa

Observation e3a642ab-b41d-4ecd-93d2-3edef7f48e43 · outbound

This paper cites ChipNeMo: Domain-Adapted LLMs for Chip Design.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? ChipNeMo: Domain-Adapted LLMs for Chip Design

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T00:45:24.542140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:45:24.542140Z digest=sha256:9c1a04c80ea866e44ecbc35834da3bdf678b491755c2706e16e9ec4e7daa5651

Observation 1f312784-9ef0-4384-a6a0-073f739f0d6a · outbound

This paper cites an unresolved cited work.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Unresolved cited work

Reference 24

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T00:45:29.086008Z

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.

source=arxiv_source observed=2026-08-06T00:45:24.641741Z digest=sha256:c420daf39b94773c86d60f2411fc653275e7808d1c3bc79adeb35c3af6cfe791

Observation f72e8333-445d-4d53-b21c-246a6714657e · outbound

This paper cites Electronics , VOLUME =.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Electronics , VOLUME =

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-06T00:45:29.957302Z

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.

source=arxiv_source observed=2026-08-06T00:45:24.724591Z digest=sha256:058afbc63ea24fa4eb7a846369ce7777736c2a4b59cc531987d84dab262d09b6

Observation 60de5fe6-2dfe-447c-b64e-78344d342b27 · outbound

This paper cites Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification

Reference 26

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unresolved
no resolver link, observed 2026-08-06T00:45:24.830628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:45:24.830628Z digest=sha256:9faa57f6c96825f1a5b84395635ca79f4d5cf7a76df045c8c00ff87a885d67c3

Observation 83532fd8-386a-456c-a389-d8e91b927320 · outbound

This paper cites VeriGen:.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? VeriGen:

Reference 27

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unresolved
no resolver link, observed 2026-08-06T00:45:24.927610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:45:24.927610Z digest=sha256:cb62357c9fa624effc195968497824908a58a2cdd4387c254826722265b6255b

Observation 3090ea33-fb3f-4845-8639-12dc1408dc1e · outbound

This paper cites Proceedings of the 29th Asia and South Pacific Design Automation Conference,.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Proceedings of the 29th Asia and South Pacific Design Automation Conference,

Reference 28

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no resolver link, observed 2026-08-06T00:45:25.004522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:45:25.004522Z digest=sha256:e969901a05ec1ac781eb44239214d64737bdfe79f77e4f260ea89c97c389ffdd

Observation 5cfd192e-3ace-4979-8871-ebbffd155bc8 · outbound

This paper cites 2023 , url =.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? 2023 , url =

Reference 29

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no resolver link, observed 2026-08-06T00:45:25.136543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:45:25.136543Z digest=sha256:d260ef349ca233434e648d0d6b2a837f8e9bd151d00d3dab405fc6992262700d

Observation 9fbf76e3-5230-4210-9cd8-b450d10035a8 · outbound

This paper cites ResBench:.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? ResBench:

Reference 30

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unresolved
no resolver link, observed 2026-08-06T00:45:25.244037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:45:25.244037Z digest=sha256:8f8c44a8fc37d6ca754b85d191240becbbd31c360070c4334d4bff4a61868d6e

Observation 4dc1ce81-58ef-4431-8d1e-e3b35bf56f9d · outbound

This paper cites an unresolved cited work.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Unresolved cited work

Reference 31

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no resolver link, observed 2026-08-06T00:45:25.322511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:45:25.322511Z digest=sha256:abb42fab0fcebe77909f58a723f4f0553b73bc433aeaee4a6245ee8936812c5d

Observation 98e48c7c-2b2e-40de-b137-81bc39d5ee95 · outbound

This paper cites Mercury:.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Mercury:

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:45:29.771847Z

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.

source=arxiv_source observed=2026-08-06T00:45:25.421490Z digest=sha256:b36f3c58581e859ce02567227df9a708ac928106448d2d1b829d5dc36a303107

Observation 7a7e4c05-ea65-4f83-acc7-2251e8bebba4 · outbound

This paper cites Lane and Hongxiang Fan , editor =.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Lane and Hongxiang Fan , editor =

Reference 33

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unresolved
no resolver link, observed 2026-08-06T00:45:25.528165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:45:25.528165Z digest=sha256:bf932b80ea0d8b2611b9d294425de78a0fd86dff271e417eacbee3156d3b8009

Observation 839c40cf-a5c4-4ea5-a294-7307b877c015 · outbound

This paper cites International Conference on ReConFigurable Computing and FPGAs, ReConFig 2017, Cancun, Mexico, December 4-6, 2017 , pages =.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? International Conference on ReConFigurable Computing and FPGAs, ReConFig 2017, Cancun, Mexico, December 4-6, 2017 , pages =

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T00:45:25.637838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:45:25.637838Z digest=sha256:89a3c15883796867d51a1f348d0e65442605a6b03db796a39519c3c9c0df5da3

Observation 2b6a5ff2-1a69-42bc-97da-379ce5b432c7 · outbound

This paper cites Lockwood and Adwait Gupte and Nishit Mehta and Michaela Blott and Tom English and Kees A.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Lockwood and Adwait Gupte and Nishit Mehta and Michaela Blott and Tom English and Kees A

Reference 35

Resolution
verified exact
doi, observed 2026-08-06T00:45:27.332360Z

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.

source=arxiv_source observed=2026-08-06T00:45:25.703665Z digest=sha256:fe9195f5235cb01deaa122184313ff74d4fc904f8604d9a5d2ea75d4fdf0f84c

Observation 478f04dd-394d-4e9a-92de-44255dae6e7c · outbound

This paper cites an unresolved cited work.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Unresolved cited work

Reference 36

Resolution
verified exact
doi, observed 2026-08-06T00:45:27.165665Z

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.

source=arxiv_source observed=2026-08-06T00:45:25.799234Z digest=sha256:e7057f115a425796a634ec4efebb4b307fe7bdc9b20b74cfa73e00d9a71cbb3d

Observation ff1dbcfa-8928-4fa4-82b0-69644f7aa202 · outbound

This paper cites 2021 , url =.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? 2021 , url =

Reference 37

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T00:45:28.358440Z

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.

source=arxiv_source observed=2026-08-06T00:45:25.887707Z digest=sha256:052e5d0bca7baff2e69beb9253ee9c0824fb836448bf3eb1a91ffaf04f517d90

Observation ab84b0f6-6c8d-4c70-a8fc-5c31e153aca8 · outbound

This paper cites LightTrader:.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? LightTrader:

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T00:45:25.944231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:45:25.944231Z digest=sha256:2aa1b8c2e1fd86360485ae5ee98c18b61cd7e8af7504c9812acd71a069d83cab

Observation 5d77bcac-b8e8-4497-8a9c-1be43b03a63d · outbound

This paper cites an unresolved cited work.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Unresolved cited work

Reference 39

Resolution
verified exact
raw_fallback, observed 2026-08-06T00:45:28.054684Z

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.

source=arxiv_source observed=2026-08-06T00:45:26.034885Z digest=sha256:7df4a4a34cdc6032e03a565170c4257cfd0e9081c5a3c214396eb7d06ead89ef

Observation 49e25286-5b8e-4e04-bb97-7f69bdb7e67e · outbound

This paper cites CoRR , volume =.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? CoRR , volume =

Reference 40

Resolution
verified exact
doi, observed 2026-08-06T00:45:27.004746Z

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.

source=arxiv_source observed=2026-08-06T00:45:26.129282Z digest=sha256:fd905e778dfe1d24139c5a3dec0a7738d132ecb32e6365708d0901c8d22a99cb

Observation 072a0588-0d9f-456e-9d65-6cb196cb5eb8 · outbound

This paper cites 2025 , url =.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? 2025 , url =

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T00:45:26.222646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:45:26.222646Z digest=sha256:8e38b6ff5cc6680e1cfe1bc93cfc04aa4353a4b6224ed7963cf48776df782400

Observation 22fd03b9-d41a-482c-a68b-24a4c1d91f12 · outbound

This paper cites CodeV: Empowering.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? CodeV: Empowering

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:45:29.628392Z

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.

source=arxiv_source observed=2026-08-06T00:45:26.343641Z digest=sha256:30ab8f081cd4cbb0518ffd7fd806644d30f6b8e54913bdc36b4945cbb7ca3978

Observation ba26bf31-c2ae-4314-83cd-d27cebb5609b · outbound

This paper cites NAECON 2024-IEEE National Aerospace and Electronics Conference , pages=.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? NAECON 2024-IEEE National Aerospace and Electronics Conference , pages=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:45:29.522769Z

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.

source=arxiv_source observed=2026-08-06T00:45:26.404869Z digest=sha256:070118fadf4d43aa74b35be56accf7adc34d916cde8c862d280690c3cd6d5980

Observation 5be2c246-3776-4dba-ba73-129be5a5a96e · outbound

This paper cites an unresolved cited work.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Unresolved cited work

Reference 44

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T00:45:27.711014Z

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.

source=arxiv_source observed=2026-08-06T00:45:26.464494Z digest=sha256:1fc07378f57e19234bc35cc09931817e9507bfe23a70c226dcc07dc569ca5f5a

Observation 591cafcb-db02-43d9-8aa6-29757a85e1db · outbound

This paper cites AlphaForge:.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? AlphaForge:

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T00:45:26.555684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:45:26.555684Z digest=sha256:6c04762029df7b6dc51744b81995908122d07b601eec2461a1345056fbb9cd52

Observation ab62c88a-f932-4606-a82a-a48bc09e794f · outbound

This paper cites AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay , booktitle =.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay , booktitle =

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T00:45:26.649656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:45:26.649656Z digest=sha256:94d01c5d74ffff4aa50703cac03a73c148fd27c591fb2769f1a132a870171bcf

Observation 14751076-6ac2-4eb9-8d3d-099af4eb9fe6 · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year =.

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? The Fourteenth International Conference on Learning Representations , year =

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:45:29.323736Z

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.

source=arxiv_source observed=2026-08-06T00:45:26.744275Z digest=sha256:e5000ac8238668faa4b9b2bb4a6dd77fb1119da422a29c16f337c31c91bca09e

Pith citing papers

No inbound Pith citation observations are available.