Paper Citation Record · LEDGER

Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2310.10449.

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

pith.paper-citation-record.v1
2310.10449 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:48:54.001943Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T18:57:16.528178Z

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 757942b7-cfab-40fe-b8ae-a0d129846483 · inbound

Fine-Tuned LLMs are "Time Capsules" for Tracking Societal Bias Through Books cites this paper.

Fine-Tuned LLMs are "Time Capsules" for Tracking Societal Bias Through Books Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:54.001943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af9d0373-083d-4b90-816b-9d41bfb8ad33 · inbound

PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction cites this paper.

PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T22:39:25.708291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5c343aa-2184-4db3-a5d4-9e15396dc163 · inbound

Perspective Dial: Measuring Perspective of Text and Guiding LLM Outputs cites this paper.

Perspective Dial: Measuring Perspective of Text and Guiding LLM Outputs Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T21:47:40.170916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09d3686b-dc35-4f5a-91ea-b8c606d8d4c8 · inbound

To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions cites this paper.

To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T18:22:15.848717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f162b1ad-4502-4191-949b-76f6d3ab92fc · inbound

Explainable Mapper: Charting LLM Embedding Spaces Using Perturbation-Based Explanation and Verification Agents cites this paper.

Explainable Mapper: Charting LLM Embedding Spaces Using Perturbation-Based Explanation and Verification Agents Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:00.660732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a3345f1-5055-4adb-bf53-2ab9a33f341b · inbound

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization cites this paper.

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:46:49.049618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 72680b23-5437-4b79-8374-d05d5150bc17 · inbound

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization cites this paper.

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-30T10:44:36.869301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2e90eb7a-f3d3-4bc3-9bb4-898108f0f172 · inbound

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization cites this paper.

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T18:27:47.460289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48e95cc0-9f37-45c8-9dad-8695c50bd092 · inbound

A Multi-Model Metric-based Selection Framework for Abstractive Text summarization cites this paper.

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T12:24:51.795113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65f00786-590d-4bad-8ac3-d14f812c934a · inbound

Some hypotheses on how chatbots work in problem-solving-driven conversations. Large Language Models as confirmation of the Innovation Illusion cites this paper.

Some hypotheses on how chatbots work in problem-solving-driven conversations. Large Language Models as confirmation of the Innovation Illusion Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-02T18:57:16.530078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.