Pith. sign in

Paper Citation Record · LEDGER

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation

As of 14 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 2026-08-14T06:32:32.682623+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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:55:35.613042Z digest=sha256:0a7bbe78ae9315c79e11628ee61aecb15ee7adb70a239dd908fa62c791f83497

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:55:35.618240Z digest=sha256:f3a483a9d4464eca78937825e52002fd1a92751b9c1299d01d396cc94b29f177

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

Resolution
unresolved
no resolver link, observed 2026-08-12T20:55:35.623445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:55:35.623445Z digest=sha256:606e6a4d169bf76ddcdcea5d3b86697782c0d25c6f7b0640d9c02aab2bec54ce

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:55:35.628583Z digest=sha256:0bebe0be08f84d9b134fae1100682ac60bca15f89d3be64cdff4b2679b162b37

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:55:35.633599Z digest=sha256:43e9926424429cb35291f5279de9e2f9f577995fa4e264637bda5500253b042f

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:55:35.639223Z digest=sha256:1d7f8dc07b1bcd0659b8a5621c95ba911a9b745c3c068df2b581fb078c455dba

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

Resolution
unresolved
no resolver link, observed 2026-08-12T20:55:35.643999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:55:35.643999Z digest=sha256:bd3178425df19215ed75fa82154d690202a8446fdf99a4cadcb0c1fe20e39729

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

Resolution
unresolved
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=sha256:2cac4db482c222a88b5bfc916d0bca3714f9b35237bfa84d553fa0b4ee705dde

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:55:35.653467Z digest=sha256:edee950dcfe57193d6487c7c139394de0395d842d7d79b32f110134335f2b4ec

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

Resolution
unresolved
no resolver link, observed 2026-08-12T20:55:35.658090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:55:35.658090Z digest=sha256:5fb6dbd2e3dc55150bf05819c8d5fcb6a7f43c5c585a81b27b1a0eae0dd21057

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:55:35.662870Z digest=sha256:9154b88be3712545c422680a7f98320325a67bb7514824116fc0de394e73330b

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

Resolution
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=sha256:78d8cd8fd1cd754aa2cb5f6e3bf5deb99762e0a08b452a9fe442fffcdaa55b06

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:55:35.672019Z digest=sha256:897937089502e2cf25110f6b6bb657c20a6a592b30872791d669eee57c1b2f81

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:db67a97cd165c2b09e9c440dd11613d225578e74e0d6db245d2584205963fd83

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

Resolution
unresolved
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=sha256:396b97c65f3739fada88c2e7500b66ebd0bbb2155cc85fc689141a2009f0ab1f

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:55:35.685904Z digest=sha256:2595a17d24e003fb12b1825928e793c677be4a53925d7f7c0ab33198e97c7f26

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

Resolution
unresolved
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=sha256:546101545b977927bd187d2b88443087b3688922956c3317ef84a69c970247c6

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

Resolution
verified fuzzy
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:55:35.695042Z digest=sha256:94e6e5b7a1efa308cf320135cbae682eb4dcc2bd1161f552050c6eb0b687c0c7

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:55:35.699509Z digest=sha256:c2fe86d682d442f0fdcab7fb004ed6428eb566b3dff37e4734747966402973aa

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

Resolution
unresolved
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=sha256:9f28eee9ee9f54f933e93f1c2f634295535d41168febe97292a070c0b70fe81f

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

Resolution
unresolved
no resolver link, observed 2026-08-12T20:55:35.709932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:55:35.709932Z digest=sha256:245658be7146aaf19aa3bc470bd78a22f0ef006dd47bb992e06b6756034101dc

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

Resolution
unresolved
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:a5d7d9785461090768cb418211ac0f4153b8e1f0eca72a0feff920d89d782afe

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

Resolution
unresolved
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:b6ba4414cde1657a0efd400d96452e4327fc985523240a54f366eb2a8708f7c5

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

Resolution
unresolved
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:d82cf01451f3a0a4560e5da079645ec7dfc50aebf4c7398b142e44d0fef83894

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:55:35.727261Z digest=sha256:a4a5e1599c14a7532042ec7053b461fd3d95de732c5f71c8da519aa1fea099c5

Pith citing papers

No inbound Pith citation observations are available.