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Paper Citation Record · LEDGER

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation

As of 13 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2411.09249.

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

pith.paper-citation-record.v1
2411.09249 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:55:35.727261Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

25 of 25 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c733bf7-b024-4e76-a28d-64b4fdb1c09e · outbound

This paper cites FinGPT: Open-Source Financial Large Language Models,.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation FinGPT: Open-Source Financial Large Language Models,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-12T20:55:36.137272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:55:35.613042Z digest=sha256:a0561d0e4e2623eff3c46a2208bcbf0caf3e5e07ccba133a294bdc8dcd1d1d41

Observation 148c1d96-8ffa-4926-811c-77e62bf25531 · outbound

This paper cites Construction of Domain-specified Japanese Large Language Model for Finance through Continual Pre-training.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Construction of Domain-specified Japanese Large Language Model for Finance through Continual Pre-training

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-12T20:55:35.926675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:55:35.618240Z digest=sha256:293b439fca00b386de9deda0d33fa3819a5ce5ad8241087f5ca569bc518bb349

Observation 7bb436bb-f2da-4783-bb9a-fb00b3512711 · outbound

This paper cites LLM Augmented LLMs: Expanding Capabilities through Composition.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation LLM Augmented LLMs: Expanding Capabilities through Composition

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:55:35.623445Z digest=sha256:b9d5f04b10d3eacdeae12cd6ac1daabe17bd84ff3b9ef1d9044a6e4c6218af19

Observation 64c0210c-ed29-4912-88c0-8755eccc9c2d · outbound

This paper cites Universal language model fine-tuning for text classification,.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Universal language model fine-tuning for text classification,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-12T20:55:36.122147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:55:35.628583Z digest=sha256:81d83e292d46e56b89c71fad8fcbed7992ad6f7b27d04d9f51cfa7b712ff38c8

Observation ffc07e8b-29dd-464d-88ff-81cfaa41f344 · outbound

This paper cites Scibert: A pretrained language model for scientific text,.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Scibert: A pretrained language model for scientific text,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:55:36.107130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:55:35.633599Z digest=sha256:43b55001b80ffde8faf4939c335a1cfcd8790d72ccb5c901da5cd89c2abf18d8

Observation 1976a213-93c2-47de-b603-8b15edb1bc7f · outbound

This paper cites Med-bert: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction,.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Med-bert: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-12T20:55:36.092233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:55:35.639223Z digest=sha256:a03e50d7641b119597c71a14bae257e45e3c68fa395deb59090dad98c5caea6c

Observation 843976ab-be4e-4ed2-a64a-3320a2ac63d0 · outbound

This paper cites Finbert: A large language model for extracting information from financial text,.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Finbert: A large language model for extracting information from financial text,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:55:35.643999Z digest=sha256:c3ab6539ff73a47c3c0d156f3caaa4bcb7df5f640118facc8ed820758173eed5

Observation d620d1aa-c79a-4a1a-8f6c-45b3106bdc4f · outbound

This paper cites Finbert: A pre-trained financial language representation model for financial text mining,.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Finbert: A pre-trained financial language representation model for financial text mining,

Reference 9

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no resolver link, observed 2026-08-12T20:55:35.648775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:55:35.648775Z digest=sha256:d1b1acce176ef43d37433763b0c3da17f58aa3c181cbe265e2abd72e46a0f871

Observation 32934d45-d775-47ed-9ad4-0eb693a5d8ad · outbound

This paper cites Construction and Validation of a Pre-Training and Additional Pre-Training Financial Language Model [in Japanese],.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Construction and Validation of a Pre-Training and Additional Pre-Training Financial Language Model [in Japanese],

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:55:36.056055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:55:35.653467Z digest=sha256:f365de1535c6bc5b4b40b06e526b45e4e630cc31d6c13091cba187e1d58668c4

Observation 04527795-d789-4541-a972-a33df007d5f6 · outbound

This paper cites Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:55:35.658090Z digest=sha256:03af53a7e1e57bf8371a2477db56842748023646c7c0200a32cbfaa43ff6dfcc

Observation 04035fca-cce9-4f4b-92dd-cd97aa768bc0 · outbound

This paper cites Constructing and Analyzing Domain-Specific Language Model for Financial Text Mining,.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Constructing and Analyzing Domain-Specific Language Model for Financial Text Mining,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:55:36.039890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:55:35.662870Z digest=sha256:1268b9bfabb107c37c79cd5a9560d1235872f644c5d3e0f260860cdcc63ac439

Observation cc8db17d-c45e-44cf-8ee9-cc2c34b96e4b · outbound

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

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation BloombergGPT: A Large Language Model for Finance

Reference 13

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unresolved
no resolver link, observed 2026-08-12T20:55:35.667492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:55:35.667492Z digest=sha256:0f91c8d2b9bb5a9a9f8b26a3d3e1a4604cfa3dbb2ca1c5a1f09dc053f8141bba

Observation c82fe833-1ee0-4ef0-bded-9edd3fb186dd · outbound

This paper cites Fin-LLAMA: Efficient Finetuning of Quantized LLMs for Finance,.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Fin-LLAMA: Efficient Finetuning of Quantized LLMs for Finance,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:55:36.022810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:55:35.672019Z digest=sha256:98610870d78580233de2d3e8083904001db79e322f373691caeb488b98189233

Observation cff58276-e657-43af-8022-4ea1d947d8f9 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation LLaMA: Open and Efficient Foundation Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T20:55:35.676494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:55:35.676494Z digest=sha256:ff758137c65e6d8cc0702cd8f489e1fdf27dc7aa4e7b72f7f6ad23590ac56df4

Observation f26b2c9c-a95e-4f9f-8e1f-160617bfb63c · outbound

This paper cites Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

Reference 16

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no resolver link, observed 2026-08-12T20:55:35.681218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:55:35.681218Z digest=sha256:4ddc3b4d55a52d76a14b3fc511a6df4dc095aa36f7c3ef01aa82560b94bc856c

Observation 6a7f7469-b768-4cb4-81f5-b70fd4b18ec2 · outbound

This paper cites Llama-2-econ: Enhancing title generation, abstract classification, and academic q&a in economic research,.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Llama-2-econ: Enhancing title generation, abstract classification, and academic q&a in economic research,

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-12T20:55:36.007273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:55:35.685904Z digest=sha256:f9c7627b39f1a3793ac18c9ac6b5f2e804b35f30829636afc62799e74c0fd4e6

Observation 1a56f43a-dfcb-49a3-9b16-6218ad31eb5d · outbound

This paper cites Editing Models with Task Arithmetic.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Editing Models with Task Arithmetic

Reference 18

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no resolver link, observed 2026-08-12T20:55:35.690436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:55:35.690436Z digest=sha256:e08d472ba975b4839c0f395f979a958b691d32939394c86b3201991182b70190

Observation 04222306-14d9-4da0-a29b-b7f3e1f66b20 · outbound

This paper cites Scaling monosemantic- ity: Extracting interpretable features from claude 3 sonnet,.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Scaling monosemantic- ity: Extracting interpretable features from claude 3 sonnet,

Reference 19

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raw_fallback, observed 2026-08-12T20:55:35.991608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:55:35.695042Z digest=sha256:ec9877fbfff6c1e73203d2276ee604783fe679ca9cbb6d05f0efa2e0d4a36dfb

Observation c7adcb58-72bb-4f9e-b883-a9b3816099aa · outbound

This paper cites Ties- merging: Resolving interference when merging models,.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Ties- merging: Resolving interference when merging models,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-12T20:55:35.975743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:55:35.699509Z digest=sha256:9b690988747bf6f26c4f692334e51beb09112436afbb700bbbd95d65b0f52576

Observation 80b3a2af-c8fd-46c4-89a7-2d44bdc443ef · outbound

This paper cites Towards Comprehensive Post Safety Alignment of Large Language Models via Safety Patching.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Towards Comprehensive Post Safety Alignment of Large Language Models via Safety Patching

Reference 21

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no resolver link, observed 2026-08-12T20:55:35.705454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:55:35.705454Z digest=sha256:169b09030c1460dd8b775f05b75134d8e4b6d11bc2f2732247f0b34ac51e61ce

Observation f372b3fe-4661-4bb5-b526-8cb11d354ba0 · outbound

This paper cites Evolutionary Optimization of Model Merging Recipes.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Evolutionary Optimization of Model Merging Recipes

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:55:35.709932Z digest=sha256:1248fa3b5fd695cd8e2d0fd4f522c11a13ab534efceb553be3d5fb099c56ecb9

Observation 7785b3e6-9271-4fe4-9d84-f635a49dddb6 · outbound

This paper cites Qwen Technical Report.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Qwen Technical Report

Reference 23

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no resolver link, observed 2026-08-12T20:55:35.714309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:55:35.714309Z digest=sha256:6c9305fba2b81d08ed6308c0f9aab3af3fd2bcee456a0fa4e1191734a08aefb6

Observation e1c9fc11-bdf1-473a-a288-657016cf9a8f · outbound

This paper cites JaFIn: Japanese Financial Instruction Dataset.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation JaFIn: Japanese Financial Instruction Dataset

Reference 24

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no resolver link, observed 2026-08-12T20:55:35.718586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:55:35.718586Z digest=sha256:58e8c628794e82e2ce1369c60f5c063e1a352b14b10f4bc80fa4cc8036edcc18

Observation 157deb39-8775-404d-8ba8-1ed0aecb0aa4 · outbound

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

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation LoRA: Low-Rank Adaptation of Large Language Models

Reference 25

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no resolver link, observed 2026-08-12T20:55:35.722963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:55:35.722963Z digest=sha256:b0a51cf4b08fb5305e740c62dbd38c08327f5aea50ab171d1d610235070a1a30

Observation 2c12039d-d888-42c5-9e65-602fba84099c · outbound

This paper cites pfmt-bench-fin-ja: Preferred Multi-turn Benchmark for Finance in Japanese,.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation pfmt-bench-fin-ja: Preferred Multi-turn Benchmark for Finance in Japanese,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:55:35.959960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T20:55:35.727261Z digest=sha256:51610d162056250fa42f3c27c05052ea3897fa30eeeb59428f25a6f7614f0532

Pith citing papers

No inbound Pith citation observations are available.