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Paper Citation Record · LEDGER

A Comparative Study of Quality Evaluation Methods for Text Summarization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.00747.

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

pith.paper-citation-record.v1
2407.00747 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:09:41.790404Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T19:01:57.821765Z

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 66bbe50a-9c1f-414b-aac2-7aeb97033e8e · inbound

TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models cites this paper.

TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models A Comparative Study of Quality Evaluation Methods for Text Summarization

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-22T19:01:57.823745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T19:01:42.307514Z digest=sha256:c06bade0717926e94f6f0b75b4e2c16b306648bed95e44bc774b71e14d133623

Observation 2cdead4b-aada-4d92-ae4c-0b21de368553 · inbound

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization cites this paper.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization A Comparative Study of Quality Evaluation Methods for Text Summarization

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:36:18.137617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T16:43:03.770431Z digest=sha256:21318de31cec2d1798287dd9478070ef6346e80a7df2f1d50d62f582d2f21789

Observation 0f63aeba-ef28-44a0-b6cd-1f708121574e · inbound

LLM-ReSum: A Framework for LLM Reflective Summarization through Self-Evaluation cites this paper.

LLM-ReSum: A Framework for LLM Reflective Summarization through Self-Evaluation A Comparative Study of Quality Evaluation Methods for Text Summarization

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:46:38.498781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T16:20:50.111108Z digest=sha256:348de4668c2810fabb6c66da6d0dda8c2aa356d2013e26189d3600a8f9caf7d9

Observation 6537162a-083f-4e8b-8cf3-93cee8c186db · inbound

GigaChat Audio: Time-aware Large Audio Language Model cites this paper.

GigaChat Audio: Time-aware Large Audio Language Model A Comparative Study of Quality Evaluation Methods for Text Summarization

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-14T12:07:39.817307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:711968fb13bc0cd62ef69498d7ae54f0e73c01321b23d0b1c04ffcde0c5c540b

Observation 25183148-2650-4a06-a0c7-7bb9f2de9845 · inbound

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization cites this paper.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization A Comparative Study of Quality Evaluation Methods for Text Summarization

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T20:09:41.790404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:09:41.790404Z digest=sha256:8bc5fc03431f63c4f03e20fb4f06a83733b69616637f421f7fff4e1e26bf332a