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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 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:39:25.708291Z

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 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.

source=pdf_text observed=2026-08-06T22:39:25.708291Z digest=sha256:cffa0e3808a9fe4344704717a565085fc26ef39dd6848f341fc3155a574915f1

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.

source=pdf_text observed=2026-08-06T21:47:40.170916Z digest=sha256:4834123d5462338053ee25fb76f8e0010172c4c7ea511c68c311251f8058361c

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.

source=pdf_text observed=2026-08-06T18:22:15.848717Z digest=sha256:e8972b6e3a3221589d0711b576825a431488c4ef8386f7689f8edf54b30889c0

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.

source=pdf_text observed=2026-08-06T14:37:00.660732Z digest=sha256:f02d7cbcbc9677fb16db20139795b0ea235a01415568e910c2347d3651bf5ae3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T05:46:00.022722Z digest=sha256:26001d777a2f871a695e71ae66f33cb4f21b755a303643d1d3bf5afb49eed016

Observation 72680b23-5437-4b79-8374-d05d5150bc17 · 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 2026-06-30T10:44:36.869301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T10:37:16.468139Z digest=sha256:161f02ba70d6e12cebc4c90205cddcbd9ce5960def6d62b4a75a0ca3c8ed2dd0

Observation 2e90eb7a-f3d3-4bc3-9bb4-898108f0f172 · 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
unresolved
no resolver link, observed 2026-07-14T18:27:47.460289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T18:27:47.460289Z digest=sha256:10b84dd15f1b13b4bebc94aa2a702646bd21383b91a64bbcd070b5ad08d92404

Observation 48e95cc0-9f37-45c8-9dad-8695c50bd092 · 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
unresolved
no resolver link, observed 2026-08-02T12:24:51.795113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:24:51.795113Z digest=sha256:110222c0571e5ae0231cea413618e35b1335aa0201eb60677031b7249529d8ab

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T21:50:16.817577Z digest=sha256:3789f22fc8768d44e16a5e8d541dc44d77cb7ebfe6f2e6d4d97af4a5fa4114f9