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Paper Citation Record · LEDGER

Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2409.11703.

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

pith.paper-citation-record.v1
2409.11703 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:11:46.572876Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:11:16.657210Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation deacd70e-1dad-44c9-8b98-7040baef49ac · inbound

LoRA-LiteE: A Computationally Efficient Framework for Chatbot Preference-Tuning cites this paper.

LoRA-LiteE: A Computationally Efficient Framework for Chatbot Preference-Tuning Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T20:11:46.572876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:11:46.572876Z digest=sha256:427a1f6e3a329b364e72351d9ae3ea5120d4c981a2bc05286e38bcc805fe55b9

Observation b881c272-0357-46f4-b9b8-83c5b3f2d55a · inbound

Advanced Risk Prediction and Stability Assessment of Banks Using Time Series Transformer Models cites this paper.

Advanced Risk Prediction and Stability Assessment of Banks Using Time Series Transformer Models Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T22:47:27.812795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:47:27.812795Z digest=sha256:aba168b446d8e469a4334dde23f28f92241b352ee952c7a6719eb687bc2ca339

Observation c11d4fee-5af3-4316-ab25-8565fb1701b4 · inbound

Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models cites this paper.

Optimizing Multi-Task Learning for Enhanced Performance in Large Language Models Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T19:54:34.518126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:54:34.518126Z digest=sha256:d309a2c58f2af1a5a71e9044f9d8a73cf54814b5b6f65cedfbaacaf75d3f4cc3

Observation 4a220c92-704d-453d-a1d5-5ecfc5b5fdc7 · inbound

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs cites this paper.

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T12:24:55.399204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:24:55.399204Z digest=sha256:5b91d410a2a122588d296d3fe1cb329e12a284aafb1567c3d258e2b56cc411b7

Observation c194093d-ce13-468e-ae3e-c9fb29278db5 · inbound

Dynamic User Interface Generation for Enhanced Human-Computer Interaction Using Variational Autoencoders cites this paper.

Dynamic User Interface Generation for Enhanced Human-Computer Interaction Using Variational Autoencoders Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T12:12:19.984646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:12:19.984646Z digest=sha256:ecdc390f2e42cfe6bc7cb564752e65fd6e681a67e756488ddcf8f942d53e37e3

Observation 884f4de1-717d-4c37-a4d0-0d4536563644 · inbound

Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt cites this paper.

Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T05:38:37.906482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:38:37.906482Z digest=sha256:2a5f2c7eed62e227c3c6d1309541b51952db1372ff0bd3542c60d88bce5ebb75

Observation 5e6d8b3b-cb11-4b1c-a592-415487808df6 · inbound

Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications cites this paper.

Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T04:57:17.517019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:57:17.517019Z digest=sha256:ccbe5c1419cf29aaa23f7ab50ca9358299a374dbdd087a32276fe72ada81e495

Observation 76456aa7-01af-441c-98f2-2844059cc0e3 · inbound

Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer cites this paper.

Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T04:50:46.929973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:50:46.929973Z digest=sha256:9d38115dea36a29247da758e857d24cccf0aa29be750c70b18c392df1fa0395c

Observation b71cfd37-8332-4264-96a8-3946d3072a3f · inbound

Enhanced Recommendation Combining Collaborative Filtering and Large Language Models cites this paper.

Enhanced Recommendation Combining Collaborative Filtering and Large Language Models Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T04:36:40.672112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:36:40.672112Z digest=sha256:dc33df95089d2b1e60503b2282df034b36152de266b10610d4d57ef6458b89b0

Observation d303a7f0-bba6-45b2-a3da-066a7781e202 · inbound

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks cites this paper.

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T04:33:58.820714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:33:58.820714Z digest=sha256:1647010ad9fb730c0e4d16f260c8caa9fdfb47fe043d72de346724146ca1d5c8

Observation 0631f532-8d41-4566-b1b3-b42e19a3d068 · inbound

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets cites this paper.

A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T00:39:35.405830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:39:35.405830Z digest=sha256:1f892afb70945e52529821b102c026427520e4f59843ed488438bbfc1a392ff2

Observation f023db6c-cb1d-45b2-bf8b-b59731ae60e3 · inbound

Feature Alignment-Based Knowledge Distillation for Efficient Compression of Large Language Models cites this paper.

Feature Alignment-Based Knowledge Distillation for Efficient Compression of Large Language Models Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T00:37:46.354322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:37:46.354322Z digest=sha256:58aebd757998dd81380f0e1b272c323b5fc144220ae84f1808556f0593fd9c35

Observation 9d4bd34f-c122-4f86-a149-b8e425cfc338 · inbound

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP cites this paper.

AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T14:55:48.033668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:55:48.033668Z digest=sha256:e80862ebe3ea3ff6ca2fcd0c838af11924de0897b42c4532dfd40f2e9df7d99b

Observation 79b990d0-142d-439e-a487-6ab10db7f5ef · inbound

Evaluation of LLMs for mathematical problem solving cites this paper.

Evaluation of LLMs for mathematical problem solving Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data Generation

Reference 164

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:11:16.747567Z

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=2026-08-07T12:11:16.125186Z digest=sha256:a43f47869384050ddd30d7068f82ef10907bae4af1b39cf4f9e68b399fbb4560