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Paper Citation Record · LEDGER

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation

As of 15 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 2 inbound Pith citation observations for arXiv:2412.11378.

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

pith.paper-citation-record.v1
2412.11378 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:03:42.637897Z

measured 29 of 29 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:49:51.288716Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T04:59:45.876127Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact2
  • verified fuzzy4
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 96c2d75a-b5a5-4376-85b9-0419233abf1b · outbound

This paper cites , " * write output.state after.block = add.period write newline.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation , " * write output.state after.block = add.period write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T15:03:41.805048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:03:41.805048Z digest=sha256:01ffa719b63098bdedaf1d2c6e6acd25d9de9d90418dce2b6eae854b16daa00d

Observation 2fef4221-4c6d-43ad-acf5-948541903b25 · outbound

This paper cites write newline.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T15:03:41.883565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:03:41.883565Z digest=sha256:eabbe6ddac6d06b9c9e17ef14a21c5d1e8852039d9880fc9e982622fb45c5e7a

Observation 92cda4c3-3fe5-4c72-8d34-bf10306bd0b8 · outbound

This paper cites TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T15:03:41.941460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:03:41.941460Z digest=sha256:091b7c2276462cdb5e85381a55cef445d41d2a670028c71eb1ea80bdd7a56663

Observation de57f565-74be-4f84-8ed8-1279c372dda0 · outbound

This paper cites E.; Herrington, D.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation E.; Herrington, D

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T15:03:41.948154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:03:41.948154Z digest=sha256:331c0fccf6f3d63cdd2c21d63fccadc0d5b28e4b5bc1f8aa104a0bc3fc91017e

Observation a2a4ae00-05b1-439e-bdaa-2f1578d4f2de · outbound

This paper cites Uncertainty Quantification on Clinical Trial Outcome Prediction.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation Uncertainty Quantification on Clinical Trial Outcome Prediction

Reference 5

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unresolved
no resolver link, observed 2026-08-11T15:03:41.954751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:03:41.954751Z digest=sha256:4e642c34263101f699999b71942954abf8e1ac4a6b402d16804966aade3ee24c

Observation 24d63012-2116-4cb8-a790-731a8eefe409 · outbound

This paper cites an unresolved cited work.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:03:43.562478Z

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.

source=arxiv_source observed=2026-08-11T15:03:41.961105Z digest=sha256:ec6e230aca283008488fb2d746c4ea0d408d924ea883dda078c83e94d354b32b

Observation c562c265-bcd4-4f38-b905-dbf7a33d7694 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation QLoRA: Efficient Finetuning of Quantized LLMs

Reference 7

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unresolved
no resolver link, observed 2026-08-11T15:03:42.047053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:03:42.047053Z digest=sha256:36e2b19f9926e1274beb2eb0d49640326ae9f8e62627c6deea00435eff0d5c65

Observation 6cab24b3-06e0-4e56-a029-dfe16b2bb33d · outbound

This paper cites The Llama 3 Herd of Models.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation The Llama 3 Herd of Models

Reference 8

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unresolved
no resolver link, observed 2026-08-11T15:03:42.089804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:03:42.089804Z digest=sha256:d1d011a568a9a82b99ccf7233b0b110d7660d55302259ff9524743413a724074

Observation e823850b-4942-48a4-b932-467193cc1f45 · outbound

This paper cites M.; and Wang, Y.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation M.; and Wang, Y

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:03:43.466316Z

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.

source=arxiv_source observed=2026-08-11T15:03:42.108274Z digest=sha256:0d0460628be08716abbd73d93ca876dfc036038cea93b9fa1abfd6e90e821e66

Observation 9ef70753-261e-4aee-8f79-d520ccc37152 · outbound

This paper cites an unresolved cited work.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:03:43.401377Z

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.

source=arxiv_source observed=2026-08-11T15:03:42.118822Z digest=sha256:623f2df39af00541c40eba5bb405b41e24aa78ae3292b9b3730eba0e74e6e8fb

Observation ea76e6ef-7ee3-46c6-beca-8d1deedb52cd · outbound

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

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation LoRA: Low-Rank Adaptation of Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T15:03:42.127907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:03:42.127907Z digest=sha256:6d0956c900bd8f7c1b6cf68031c464584e4a81f2ba3cf3e016eda8d048b3828f

Observation 23d88f55-cb90-4352-b5cd-d1b19d287bd2 · outbound

This paper cites A Study of BFLOAT16 for Deep Learning Training.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation A Study of BFLOAT16 for Deep Learning Training

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T15:03:42.136642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:03:42.136642Z digest=sha256:3e110c32b921777059825a93d30466412229d58f4299b9057f30a923a975079c

Observation 56ce2245-cd05-416d-81b7-ac308f2bec52 · outbound

This paper cites an unresolved cited work.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:03:43.348560Z

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.

source=arxiv_source observed=2026-08-11T15:03:42.143745Z digest=sha256:1bc06965df4b1512a8ce329e5ab0948321f900ec11466a2d940f6df95dc9e0b3

Observation 62aa918d-c54c-4def-b9b0-30d6e50055bb · outbound

This paper cites an unresolved cited work.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:03:43.316384Z

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.

source=arxiv_source observed=2026-08-11T15:03:42.153154Z digest=sha256:411334f9e86726ddef182a36711d1e3f06dbb00054a8ed0e0216baabd6dfb84f

Observation eb280c3b-7c35-45d1-99a3-0342544a5cb0 · outbound

This paper cites an unresolved cited work.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:03:43.288749Z

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.

source=arxiv_source observed=2026-08-11T15:03:42.160656Z digest=sha256:f0045fe482bef50049637dba4bedd2d646e4284e444ab76e6531f6f5e36b3489

Observation b887e4f2-1650-4437-b27f-225042fc7686 · outbound

This paper cites an unresolved cited work.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:03:43.267801Z

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.

source=arxiv_source observed=2026-08-11T15:03:42.167742Z digest=sha256:157d92aeca625b095625cfd644ce0b7a975503024dd1ede3cf1087d616693e07

Observation 3d49f1c4-9ac3-451c-b8e1-1b1b122ecfdd · outbound

This paper cites an unresolved cited work.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:03:43.249109Z

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.

source=arxiv_source observed=2026-08-11T15:03:42.176213Z digest=sha256:65c4bbdb70f1485939ec3ad2b772fec2946c3fdb924f1094c254b115057cada0

Observation 0f713c07-b4d5-448e-ab71-1f6193a003d7 · outbound

This paper cites Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:03:42.757454Z

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.

source=arxiv_source observed=2026-08-11T15:03:42.184029Z digest=sha256:1bee411d1ca1df7f5dd4f4404f7e533d06bfbc3da3346f40116a8375b637f544

Observation 2704f106-e3cc-4f38-91bd-75a8ede98c7d · outbound

This paper cites J.; Cheng, Z.; Saylor, G.; Van Eyk, J.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation J.; Cheng, Z.; Saylor, G.; Van Eyk, J

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:03:43.227803Z

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.

source=arxiv_source observed=2026-08-11T15:03:42.192550Z digest=sha256:2a05cfacc0821d75b75708087f19a7b156820dcd245837bb032c666e25b0a4ec

Observation 2e902db3-f93b-4992-9ae4-9781889c8b92 · outbound

This paper cites an unresolved cited work.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:03:43.140646Z

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.

source=arxiv_source observed=2026-08-11T15:03:42.200823Z digest=sha256:f5155cc93e47a13ca30bb5edb2ef248c3f50fc92bb1e3abd2fe9abdbec20dbfa

Observation f690468e-fb71-4f9e-8d34-6b8c3e91d6c4 · outbound

This paper cites Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Texts

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T15:03:42.253146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:03:42.253146Z digest=sha256:858f63d514a94a909509c8484b59cc0537c17527beeb4d3c56ff85adfb9c6415

Observation 5b92c850-51c1-4063-9d3e-350d8654070a · outbound

This paper cites an unresolved cited work.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:03:43.040135Z

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.

source=arxiv_source observed=2026-08-11T15:03:42.307898Z digest=sha256:26405ef694621191ee9c4dfd73c7282eb7489ba6191a220b5b5c19ab10c8c173

Observation e9eeb35d-ca3a-4ffe-b06f-a9dba5793295 · outbound

This paper cites an unresolved cited work.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-11T15:03:42.964836Z

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.

source=arxiv_source observed=2026-08-11T15:03:42.356395Z digest=sha256:f5a4187bd78c1b565560f99a9b85f0c62f72594e86c2be1ac6e6cb06ea5ca177

Observation ca6c5bb8-6415-4a04-aedc-4047ce82b825 · outbound

This paper cites C.; Verspoor, K.; and Baldwin, T.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation C.; Verspoor, K.; and Baldwin, T

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:03:42.929379Z

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.

source=arxiv_source observed=2026-08-11T15:03:42.420462Z digest=sha256:590423ec202db60b776dda48c6815e58fca3ba9c1d1463084186ac4dfeb4c4a0

Observation d3abb88f-757c-4eb0-8ac5-c8fc57750f56 · outbound

This paper cites Impact of News on the Commodity Market: Dataset and Results.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation Impact of News on the Commodity Market: Dataset and Results

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T15:03:42.501792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:03:42.501792Z digest=sha256:f4188031e8cd5cfd3aecb7df52d68dc88457559fdb9239873ea7b50300cf461f

Observation 364901b4-7165-40f5-ba63-19c9c7bb5e78 · outbound

This paper cites S.; Zha, D.; White, M.; Xiao, K.; and Liu, X.-Y.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation S.; Zha, D.; White, M.; Xiao, K.; and Liu, X.-Y

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:03:42.911617Z

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.

source=arxiv_source observed=2026-08-11T15:03:42.631774Z digest=sha256:2f9b2935507af9f18e4d306e904e2b7d4475a3d8a25cf5ef23ec50f193a2f17b

Observation 36898e53-d428-4633-adaf-e657e08f63f4 · outbound

This paper cites TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model.

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:03:42.693810Z

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.

source=arxiv_source observed=2026-08-11T15:03:42.637897Z digest=sha256:a10f1016417fa4668a795ecfcea1df7ed212d51f66afb8b3d6083594dfd2bc23

Pith citing papers

Observation 077b155e-6642-42c9-a571-dfa6a6630da7 · inbound

Open FinLLM Leaderboard: Towards Financial AI Readiness cites this paper.

Open FinLLM Leaderboard: Towards Financial AI Readiness FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T18:49:51.288716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:49:51.288716Z digest=sha256:6a4c013d60dc33413fa74d342cb704776e3eaa1d18183546edaeea1c3a90b49b

Observation 69cf11ff-6227-4002-8c48-edb16fbd0018 · inbound

Towards the Next Frontier of LLMs, Training on Private Data: A Cross-Domain Benchmark for Federated Fine-Tuning cites this paper.

Towards the Next Frontier of LLMs, Training on Private Data: A Cross-Domain Benchmark for Federated Fine-Tuning FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:59:45.879679Z

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.

source=pdf_text observed=2026-05-15T04:55:24.482203Z digest=sha256:e996ed4a5bfd9f5de0d82b5145a689d223f98bc040a5015da993650ca2ed263a