Paper Citation Record · LEDGER

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization

As of 12 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2604.25130.

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

pith.paper-citation-record.v1
2604.25130 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T16:43:03.770431Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T03:36:57.168246Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T03:45:55.345415Z

Reference resolution

47 of 47 outbound references displayed

verified exact5
verified fuzzy42
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9716f39-905d-423a-8545-11e30bb5a7af · outbound

This paper cites A comprehensive survey for automatic text summarization: Techniques, approaches and perspectives.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization A comprehensive survey for automatic text summarization: Techniques, approaches and perspectives

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.389064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ae242ad5-16ba-4e17-a0e0-ccfa1f2dcebc · outbound

This paper cites A comprehensive survey on automatic text summarization with exploration of llm-based methods.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization A comprehensive survey on automatic text summarization with exploration of llm-based methods

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.349914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 61d86dbf-f32a-4f0b-90b7-f14ab3c6434a · outbound

This paper cites How far are we from robust long abstractive summarization?.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization How far are we from robust long abstractive summarization?

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.370982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 655e998f-666f-4401-a684-de797c739b3d · outbound

This paper cites Current and future state of evaluation of large language models for medical summarization tasks.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Current and future state of evaluation of large language models for medical summarization tasks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.366674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a346ce2e-bf56-4383-ba7b-0db3dda35e17 · outbound

This paper cites Effectiveness in retrieving legal precedents: exploring text summarization and cutting-edge lan- guage models toward a cost-efficient approach.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Effectiveness in retrieving legal precedents: exploring text summarization and cutting-edge lan- guage models toward a cost-efficient approach

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.393385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cbdcefff-1dcb-4065-830f-6301bafe704b · outbound

This paper cites The power of graphs in medicine: Introducing biographsum for effective text summarization.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization The power of graphs in medicine: Introducing biographsum for effective text summarization

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.382071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

This paper cites A Comparative Study of Quality Evaluation Methods for Text Summarization.

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 2026-08-12T06:34:41.77262+00:00.

Observation 3f28253e-00da-4116-8cd3-68f8f79a34d8 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Rouge: A package for automatic evaluation of summaries

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.354456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7e40da3b-8f7f-45d9-afa0-2038ac8a8617 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Bleu: a method for automatic evaluation of machine translation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.378227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 512e7586-5381-42d8-a6f7-35ec0860aef5 · outbound

This paper cites Bertscore: Evaluating text generation with bert.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Bertscore: Evaluating text generation with bert

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.397108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 88d97bd6-594b-4e8b-8aeb-4078bbaddd2a · outbound

This paper cites Summeval: Re-evaluating summarization evaluation.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Summeval: Re-evaluating summarization evaluation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.326605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b6f9fec6-8967-4485-ad3b-da686748b09b · outbound

This paper cites Towards question- answering as an automatic metric for evaluating the content quality of a summary.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Towards question- answering as an automatic metric for evaluating the content quality of a summary

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.361712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6051f8ae-68ec-4407-ab2d-2f439db69512 · outbound

This paper cites News summarization and evaluation in the era of gpt-3.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization News summarization and evaluation in the era of gpt-3

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.357719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2de151eb-6e13-4726-9b1a-eb8b04dde426 · outbound

This paper cites FABLES: Evaluating faithfulness and content selection in book-length summarization.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization FABLES: Evaluating faithfulness and content selection in book-length summarization

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:36:18.044669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3985e453-96f7-43d7-b8c0-cfc841bbe814 · outbound

This paper cites Quality evaluation of summarization models for patent documents.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Quality evaluation of summarization models for patent documents

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.210103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e8989c75-4737-4600-8f53-1bf686198a21 · outbound

This paper cites Questeval: Summarization asks for fact-based evalu- ation.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Questeval: Summarization asks for fact-based evalu- ation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.213160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ef74e3dd-7a3f-451e-9774-85cf45086168 · outbound

This paper cites Asking and answering questions to evaluate the factual consistency of summaries.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Asking and answering questions to evaluate the factual consistency of summaries

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.291310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d2163ec1-1f22-4b08-859f-c7bbec4f107f · outbound

This paper cites Evaluation of question-answering based text summarization using llm invited paper.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Evaluation of question-answering based text summarization using llm invited paper

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.230422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 76051203-de85-463a-b27e-5ec813469dce · outbound

This paper cites q 2: Evaluating factual consistency in knowledge-grounded dialogues via question generation and question answering.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization q 2: Evaluating factual consistency in knowledge-grounded dialogues via question generation and question answering

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.323364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 72554925-45bc-4377-8938-7aee10d87dfd · outbound

This paper cites Qapyramid: Fine-grained evaluation of content selection for text sum- marization.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Qapyramid: Fine-grained evaluation of content selection for text sum- marization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.312751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2f83d3b3-8d87-4729-b81f-4d6493085a39 · outbound

This paper cites Feqa: A question answering evaluation framework for faithfulness assessment in abstractive summarization.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Feqa: A question answering evaluation framework for faithfulness assessment in abstractive summarization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.216455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3a7223f0-3be5-4f98-a4d0-f2b950043991 · outbound

This paper cites On faithfulness and factuality in abstractive summarization.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization On faithfulness and factuality in abstractive summarization

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.315995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7d09c09b-4f66-4384-a753-45140489581d · outbound

This paper cites Faithful to the original: Fact aware neural abstractive summarization.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Faithful to the original: Fact aware neural abstractive summarization

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.302131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 02930183-7536-4ef9-b6ed-e86f7fe22442 · outbound

This paper cites Evaluating the factual consistency of abstractive text summarization.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Evaluating the factual consistency of abstractive text summarization

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.306045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 189fc783-3aaa-4dd4-9591-248f65da7514 · outbound

This paper cites Scaling Up Summarization: Leveraging Large Language Models for Long Text Extractive Summarization.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Scaling Up Summarization: Leveraging Large Language Models for Long Text Extractive Summarization

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:36:17.859134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b6cdc995-4553-4092-914b-73263947a9a6 · outbound

This paper cites Self-refine: Iter- ative refinement with self-feedback.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Self-refine: Iter- ative refinement with self-feedback

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.297920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9832d6d9-a002-4cbb-b189-a2bd94b6513a · outbound

This paper cites Teaching large language models to self-debug.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Teaching large language models to self-debug

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.309158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 36653993-8dfd-4ed4-b48d-6231df3a6290 · outbound

This paper cites Prometheus: Inducing fine-grained evaluation capability in language models.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Prometheus: Inducing fine-grained evaluation capability in language models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.226993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 49952e71-ed43-48ec-8404-05f2e4b794e3 · outbound

This paper cites Summit: Iterative text summarization via chatgpt.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Summit: Iterative text summarization via chatgpt

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.223387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6654a19e-2e52-42d1-8c40-f3a6bda3b2a8 · outbound

This paper cites Multi-fact correction in abstractive text summarization.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Multi-fact correction in abstractive text summarization

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.265946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4a71d314-1902-4911-a8d1-6760dca816e3 · outbound

This paper cites Meta-rewarding language models: Self-improving alignment with llm-as-a-meta-judge.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Meta-rewarding language models: Self-improving alignment with llm-as-a-meta-judge

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.255292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8139034c-05c3-4d31-a2c6-4a16d4101952 · outbound

This paper cites The lighthouse of language: Enhancing llm agents via critique-guided improvement.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization The lighthouse of language: Enhancing llm agents via critique-guided improvement

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:36:18.132029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 181e2903-8da0-4d6e-9530-48ee170c12e7 · outbound

This paper cites Large language models improve clinical decision making of medical students through patient simulation and structured feedback: a randomized controlled trial.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Large language models improve clinical decision making of medical students through patient simulation and structured feedback: a randomized controlled trial

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.259363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f6aee5f8-bea8-4e9a-b8b5-3623ba839c82 · outbound

This paper cites CRITIC: Large language models can self-correct with tool-interactive critiquing.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization CRITIC: Large language models can self-correct with tool-interactive critiquing

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.262765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c4b44ddd-799b-4954-8126-e3b6890ab6a3 · outbound

This paper cites Answers unite! unsupervised metrics for reinforced summarization models.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Answers unite! unsupervised metrics for reinforced summarization models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.269080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation da892bd2-4d46-48cc-bec4-f0557a26f40c · outbound

This paper cites Re3: Generating longer stories with recursive reprompting and revision.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Re3: Generating longer stories with recursive reprompting and revision

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.287844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a098760d-d380-4b23-8d8e-d75cc5872d2c · outbound

This paper cites Summac: Re- visiting nli-based models for inconsistency detection in summarization.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Summac: Re- visiting nli-based models for inconsistency detection in summarization

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.248440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 50b0fe57-c975-4416-8410-033118cfe47a · outbound

This paper cites Iragkr: Iterative retrieval augmented generation with fine- grained knowledge refinement.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Iragkr: Iterative retrieval augmented generation with fine- grained knowledge refinement

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.240889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9e8ccdae-1bde-4b4d-9637-56d199c1a1a4 · outbound

This paper cites Adaptive iterative retrieval for enhanced retrieval-augmented genera- tion.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Adaptive iterative retrieval for enhanced retrieval-augmented genera- tion

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.233759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 28348270-6986-4a95-87b7-c1979728975d · outbound

This paper cites Learning to summarize from human feedback.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Learning to summarize from human feedback

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.237169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4100afb7-ce99-46e5-a16a-a5cfac36c97e · outbound

This paper cites Bigpatent: A large-scale dataset for abstractive and coherent summarization.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Bigpatent: A large-scale dataset for abstractive and coherent summarization

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.245023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 32324a1b-a8bd-4292-acc6-908bba0412ee · outbound

This paper cites The Llama 3 Herd of Models.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization The Llama 3 Herd of Models

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-11T23:36:17.756357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 13198aee-a608-4961-988f-d2aceef41ffd · outbound

This paper cites Llmrefine: Pinpointing and refining large language models via fine-grained actionable feedback.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Llmrefine: Pinpointing and refining large language models via fine-grained actionable feedback

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.251862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6a057d42-e887-4d02-a1aa-1d2d86f132a9 · outbound

This paper cites Learning to refine with fine-grained natural language feedback.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Learning to refine with fine-grained natural language feedback

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.272413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fa3bb994-b66a-40d6-9ce9-be6c7b5de490 · outbound

This paper cites Frame: Feedback- refined agent methodology for enhancing medical research insights.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Frame: Feedback- refined agent methodology for enhancing medical research insights

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.294499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1c5a6bb7-5c5a-4410-8b14-891572eaadba · outbound

This paper cites Beyond factual accuracy: Evaluating coverage of diverse factual information in long-form text generation.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Beyond factual accuracy: Evaluating coverage of diverse factual information in long-form text generation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.219718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bf4703eb-4cce-46dc-a88a-fada6c744337 · outbound

This paper cites Confidence vs critique: A decomposition of self-correction capability for llms.

LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization Confidence vs critique: A decomposition of self-correction capability for llms

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:53:23.319677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation a3fa82e2-1ada-4cf6-bc33-458cd539e9d4 · inbound

Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops cites this paper.

Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops LongSumEval: Question-Answering Based Evaluation and Feedback-Driven Refinement for Long Document Summarization

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-09T03:45:55.347538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.