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Paper Citation Record · LEDGER

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models

As of 22 August 2026, this Paper Citation Record lists 100 of 116 outbound references and 4 inbound Pith citation observations for arXiv:2506.04180.

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

pith.paper-citation-record.v1
2506.04180 v1

Coverage vector

measured 100 of 116 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:52:06.437762Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T16:25:57.418334Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:39:30.147395Z

Reference resolution

100 of 116 outbound references displayed

  • verified exact2
  • verified fuzzy11
  • unresolved87
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50ded64a-2d4d-4848-9fae-b6790bcd1e50 · outbound

This paper cites The llama 4 herd: The beginning of a new era of natively multimodal ai innovation, April 2025.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models The llama 4 herd: The beginning of a new era of natively multimodal ai innovation, April 2025

Reference 1

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source=pdf_text observed=2026-08-07T10:52:05.985067Z digest=sha256:89f37d28ecf0a43a7ac4735368169b504cdf717e276fff365caeead5d5a533c3

Observation f5ce39cf-8e98-4a5e-b1f5-6461627cf414 · outbound

This paper cites Training-Free Long-Context Scaling of Large Language Models.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Training-Free Long-Context Scaling of Large Language Models

Reference 2

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source=pdf_text observed=2026-08-07T10:52:05.990147Z digest=sha256:74a5f93fcee6524625ca23acf06c7e78ee2de9a915f1d0c4197e148db4835323

Observation f4767051-82e6-43f7-ac9b-378f54a8c8bb · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 3

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source=pdf_text observed=2026-08-07T10:52:05.995091Z digest=sha256:6c86494aecfe6a8736e040bc59a63bef02a22006f6c264199be4a53a0fb9f267

Observation 6e0713a4-bce7-4909-ab3d-555bd3c8d9d7 · outbound

This paper cites Benchmarking foundation models with language-model-as-an- examiner.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Benchmarking foundation models with language-model-as-an- examiner

Reference 4

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source=pdf_text observed=2026-08-07T10:52:05.999455Z digest=sha256:5fa7cf574cf4530c44c79d625ec6d7e60a2e95bb9f7a7e4efb650387ad392e56

Observation ce338ee0-af78-4b75-8d7e-c5f4164dbdbd · outbound

This paper cites LongAlign: A recipe for long context alignment of large language models.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models LongAlign: A recipe for long context alignment of large language models

Reference 5

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source=pdf_text observed=2026-08-07T10:52:06.003758Z digest=sha256:8f5462aa08b2f9dea7d0b3b6f29c759287746f87c2b65fc8acfa164e310005ca

Observation 3fd2a28a-94ff-41df-89f7-94a317153a14 · outbound

This paper cites LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs

Reference 6

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source=pdf_text observed=2026-08-07T10:52:06.008307Z digest=sha256:53d46c56f18fe2c6ed54c1e7631b2ffec6555d04c94ba6733bbc6bbb170ba1ea

Observation 03af02e7-44cf-4d23-a82e-22c45c816abc · outbound

This paper cites Revision: History, theory, and practice, pages 25–49, 2006.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Revision: History, theory, and practice, pages 25–49, 2006

Reference 7

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source=pdf_text observed=2026-08-07T10:52:06.013247Z digest=sha256:7be9b00340c30d208d0db77777002076b632ca9c2f9159c45449fcd78e578797

Observation 34a34603-dac2-4ba6-a6b2-0f836e01dbc8 · outbound

This paper cites Extending Context Window of Large Language Models via Positional Interpolation.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Extending Context Window of Large Language Models via Positional Interpolation

Reference 8

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source=pdf_text observed=2026-08-07T10:52:06.017293Z digest=sha256:3c3ca4574bf2f1a91ace936bb390819fcecd3e5153664f8cd116d9572253ab25

Observation 15476baa-fdef-47fd-92eb-451b8dda6ecf · outbound

This paper cites LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 9

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source=pdf_text observed=2026-08-07T10:52:06.021670Z digest=sha256:534c98d687fee86b744c80a684848deeaf6775bbea16364701542395186bee66

Observation 1bed5554-143b-4769-a90a-defa589f4528 · outbound

This paper cites Deep reinforcement learning from human preferences.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Deep reinforcement learning from human preferences

Reference 10

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source=pdf_text observed=2026-08-07T10:52:06.026677Z digest=sha256:00dea2c0ed13fbe5fdd70399308981f506d89ba01d85d647e7ba3c5cd0bd1199

Observation 484c9198-8e72-47cf-853e-7fe3470f0a22 · outbound

This paper cites Smith, and Matt Gardner.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Smith, and Matt Gardner

Reference 11

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source=pdf_text observed=2026-08-07T10:52:06.031481Z digest=sha256:0ab76b9979d44e2635c4a36d6863f3ba660628288e99ac30db0d6820cfc80bf6

Observation 1ed77ff9-60d9-4cf3-b121-f54cfc2d71c4 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

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source=pdf_text observed=2026-08-07T10:52:06.035517Z digest=sha256:a42dff9d367dec7449a25565a62974e2fc8cf240c89cb1234a69ac404e18da97

Observation ec04c1bf-c194-463c-9827-ba9ea676d1ab · outbound

This paper cites Zhang, Han Bao, Hanwei Xu, Haocheng Wang, Haowei Zhang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Li, Hui Qu, J.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Zhang, Han Bao, Hanwei Xu, Haocheng Wang, Haowei Zhang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Li, Hui Qu, J

Reference 13

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source=pdf_text observed=2026-08-07T10:52:06.039983Z digest=sha256:a1fdf0c97f2890b11b453322b6b2949d8031da2b6ff64a076dc8b32b7bd2ac1c

Observation 2e908c6d-1c33-4a14-abcf-99b55c12e772 · outbound

This paper cites A cognitive process theory of writing.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models A cognitive process theory of writing

Reference 14

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source=pdf_text observed=2026-08-07T10:52:06.048972Z digest=sha256:894c6ad381e83d8461ee2a52977e8d247ff841a3fe506d096d513976322c4e1b

Observation f59e6fd2-0d95-4432-be15-24e3bece8509 · outbound

This paper cites CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs

Reference 15

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source=pdf_text observed=2026-08-07T10:52:06.053033Z digest=sha256:1310eca71776e8098c94ea27425611bc8d2161904a3fcdd6a9966015a70c46e5

Observation ebf2ab01-97cd-4065-b5c1-a70bf9fa2800 · outbound

This paper cites Data Engineering for Scaling Language Models to 128K Context.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Data Engineering for Scaling Language Models to 128K Context

Reference 16

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source=pdf_text observed=2026-08-07T10:52:06.057643Z digest=sha256:595b6179c72e06539b191159313925b82367c872fc9e98d026404331f6f177f8

Observation ea99ff98-762a-4eb8-9c08-784d82aac810 · outbound

This paper cites Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation

Reference 17

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verified exact
local_arxiv, observed 2026-08-07T10:52:07.161968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.062316Z digest=sha256:0341e98ead1b9bce1ee1f8a6a734e322be2a664ec2aba85acb5f4cc110b07e6d

Observation 5c0c6b4e-cf1e-46ae-90db-143220a762aa · outbound

This paper cites A framework for a cognitive theory of writing.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models A framework for a cognitive theory of writing

Reference 18

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source=pdf_text observed=2026-08-07T10:52:06.066602Z digest=sha256:c877ba5e3d5b6df1b707ff6b1f3de24eae16c03ba5606a3390c4e8d26c7f1efe

Observation f05067d3-3654-4711-93d6-15f78c468956 · outbound

This paper cites LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 19

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source=pdf_text observed=2026-08-07T10:52:06.070721Z digest=sha256:063bab409a96eccecf021cec3ff53b0d6113266db88cabee6eff3e525f5a3ad7

Observation acbe21ca-ef89-4fb2-b539-3991c60cc69e · outbound

This paper cites 360-llama-factory, 2024.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models 360-llama-factory, 2024

Reference 20

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source=pdf_text observed=2026-08-07T10:52:06.074746Z digest=sha256:52d9bbe2734eba78a25ce857d6f3267d5dcfb4a40bb7b99efb765e3ac7013d9f

Observation e1c9577c-2e4f-4f38-b5ce-9dfab766e548 · outbound

This paper cites PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation

Reference 21

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verified exact
local_arxiv, observed 2026-08-07T10:52:07.123540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.079351Z digest=sha256:98adaac855c49d72289d6129c3a28d0709932cec727fbbb1656321d2830193cb

Observation 3aaa1e19-c841-4154-b5b3-31e4bfa1e0fa · outbound

This paper cites LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 22

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source=pdf_text observed=2026-08-07T10:52:06.083804Z digest=sha256:f8aa44a3b9abcf485a884fc7609fd0267b366cd238de3e4e2fef7b16ee19f3cf

Observation f1ced506-97c7-4306-a349-e5a76403112e · outbound

This paper cites Rossi, Franck Dernoncourt, Hanieh Deilamsalehy, Xiang Chen, Ruiyi Zhang, Shubham Agarwal, Nedim Lipka, Chien Van Nguyen, Thien Huu Nguyen, and Hamed Zamani.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Rossi, Franck Dernoncourt, Hanieh Deilamsalehy, Xiang Chen, Ruiyi Zhang, Shubham Agarwal, Nedim Lipka, Chien Van Nguyen, Thien Huu Nguyen, and Hamed Zamani

Reference 23

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source=pdf_text observed=2026-08-07T10:52:06.088705Z digest=sha256:c6a5e305c09189d7417ad50ef4fdfd1988c713be23071263722dd4b5b0e22c3b

Observation a4039fb3-fc24-4bfb-806e-74a85d010630 · outbound

This paper cites QASA: Advanced question answering on scientific articles.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models QASA: Advanced question answering on scientific articles

Reference 24

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source=pdf_text observed=2026-08-07T10:52:06.093678Z digest=sha256:aefd74b1e3d045ba4cbc75b0aa0d409be5014b456aa890e7d3ba0fa07518e4a4

Observation 730d032f-284a-4b72-a789-3f8f3e4f5a3d · outbound

This paper cites Teach llms to personalize - an approach inspired by writing education.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Teach llms to personalize - an approach inspired by writing education

Reference 25

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source=pdf_text observed=2026-08-07T10:52:06.098840Z digest=sha256:af6df0a09f261f85466b3432387932d167268559cbf01dc8c6805ec07bbe896f

Observation 80f661e5-f5fc-4d10-b360-65c8b8c876be · outbound

This paper cites TPO: Aligning large language models with multi- branch & multi-step preference trees.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models TPO: Aligning large language models with multi- branch & multi-step preference trees

Reference 26

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source=pdf_text observed=2026-08-07T10:52:06.103758Z digest=sha256:9a1e40c2d400a7e8ec9ed4ebf6e21bea26bd3257d99cf9e883e428e05aed14f3

Observation 281da1bb-4019-45dd-8f2d-7d21ff8d3eae · outbound

This paper cites Task- adaptive tokenization: Enhancing long-form text generation efficacy in mental health and beyond.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Task- adaptive tokenization: Enhancing long-form text generation efficacy in mental health and beyond

Reference 27

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source=pdf_text observed=2026-08-07T10:52:06.108186Z digest=sha256:1d72549baf1f50373fbe57ff52864dd29373129dedaf5534bb01cef59bf08903

Observation 047cf0fe-268a-40a1-9572-dbfacb123f0d · outbound

This paper cites Large Language Models: A Survey.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Large Language Models: A Survey

Reference 28

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source=pdf_text observed=2026-08-07T10:52:06.114723Z digest=sha256:12775841b6d4fc7bb30f6396ca96ff0df1565a154288fd55e2220dfa0eae2572

Observation 777c651c-c70b-40a8-9046-73dab8ce0fa1 · outbound

This paper cites Learning to reason with llms, 2024.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Learning to reason with llms, 2024

Reference 29

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source=pdf_text observed=2026-08-07T10:52:06.119298Z digest=sha256:b00a5ce568e89d9b6e4f8891f52b1fd1776ddde2736e44a8758d57658987866a

Observation d01b9cad-fe15-4112-9b8b-558f517aaeb5 · outbound

This paper cites Introducing gpt-4.1 in the api, April 2025.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Introducing gpt-4.1 in the api, April 2025

Reference 30

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source=pdf_text observed=2026-08-07T10:52:06.123990Z digest=sha256:66089250467ab4b48c9c561e29a720880df2b2a591f4b6a0f6986086c14873ef

Observation 8b643279-5b69-4850-96d6-b635b54424f2 · outbound

This paper cites GPT-4o System Card.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models GPT-4o System Card

Reference 31

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source=pdf_text observed=2026-08-07T10:52:06.128303Z digest=sha256:3dc96fb07432f955f37f380eb7c184df2a6f43f3a6740ab61db3b8bc4e52759f

Observation 6c87330e-e207-4150-a0de-72b1b83be1c8 · outbound

This paper cites Training language models to follow instructions with human feedback.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Training language models to follow instructions with human feedback

Reference 32

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source=pdf_text observed=2026-08-07T10:52:06.132966Z digest=sha256:52ffa35a72e09e83b55857393fc6b31973263234dff69c6f8f0fcaf3175a8183

Observation e313c10c-3cad-41c3-9df1-3feb00e7b7c6 · outbound

This paper cites Data, Data Everywhere: A Guide for Pretraining Dataset Construction.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Data, Data Everywhere: A Guide for Pretraining Dataset Construction

Reference 33

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source=pdf_text observed=2026-08-07T10:52:06.138326Z digest=sha256:1ebb6ceb0a601695d106dac01964b7ce282f2c9c85f78b3f7f57b35ead3cfd4c

Observation ca54f046-5c74-4cb3-a035-9aeb03330f8b · outbound

This paper cites YaRN: Efficient Context Window Extension of Large Language Models.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models YaRN: Efficient Context Window Extension of Large Language Models

Reference 34

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source=pdf_text observed=2026-08-07T10:52:06.142935Z digest=sha256:fe47305b928b58f84346ad31b7bec51d7db1fcc41b920da3535f267bbc771872

Observation 75cffd67-c6ea-435b-a8d8-93f27c6609ad · outbound

This paper cites Suri: Multi-constraint Instruction Following for Long-form Text Generation.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Suri: Multi-constraint Instruction Following for Long-form Text Generation

Reference 35

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source=pdf_text observed=2026-08-07T10:52:06.147457Z digest=sha256:3087f0e9380fa6c61c5f3ff8315a1361eff499c758cad37ede8a351b0be38e4d

Observation 15c5d438-7e4c-4808-950c-f73a72620a9e · outbound

This paper cites Language Models can Self-Lengthen to Generate Long Texts.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Language Models can Self-Lengthen to Generate Long Texts

Reference 36

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source=pdf_text observed=2026-08-07T10:52:06.151992Z digest=sha256:66c46eae1e82857d0a5395d5ce8f123ab10e2c37d7e56f64612d15f185284b6f

Observation 12d5f969-b977-4c0e-ac82-c9aa2df6d947 · outbound

This paper cites HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models

Reference 37

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source=pdf_text observed=2026-08-07T10:52:06.156563Z digest=sha256:c3eebde6b6ea740f88a137ef9ea6ae9f96a0e45f6eb57bd94fe1ed30f2817edf

Observation b6f5d048-d6be-4f12-b128-ee2464b7fbf1 · outbound

This paper cites Qwen2.5 Technical Report.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Qwen2.5 Technical Report

Reference 38

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source=pdf_text observed=2026-08-07T10:52:06.161012Z digest=sha256:729c79d293ef67acd79e1d2b5a8cc68533203819610b8cd81d99ea9ad76146a1

Observation 060de7ed-495f-4d93-be8d-d408078f49b9 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Direct preference optimization: Your language model is secretly a reward model

Reference 39

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source=pdf_text observed=2026-08-07T10:52:06.165601Z digest=sha256:b610d2a8ebe94a15cc3ab30275590e4856194d015d289e1928a8c8831f1fcfe0

Observation 7c241fe2-497b-4fab-bc71-bea47d120891 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Direct preference optimization: Your language model is secretly a reward model

Reference 40

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source=pdf_text observed=2026-08-07T10:52:06.169731Z digest=sha256:66fa26b81c45a648332a893ce4abb27ca2c6ab0441992e5725b57bb1c0e18902

Observation 40488063-0b5d-40c7-bfbf-10d838732ce0 · outbound

This paper cites Large language models for code generation: The practitioners perspective, 2025.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Large language models for code generation: The practitioners perspective, 2025

Reference 41

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source=pdf_text observed=2026-08-07T10:52:06.174319Z digest=sha256:1eba78aea4747f94ca0ec7fb4c2214226498d33197253afae9071890204cf12e

Observation 96af8572-4d45-4a45-a5a8-a16d8613cf62 · outbound

This paper cites Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters

Reference 42

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source=pdf_text observed=2026-08-07T10:52:06.178937Z digest=sha256:2c213d186cfdf886a74d0d7c50628d020fe393a6f74466c045292146f5fbee99

Observation c9923ad9-623e-4ec5-837e-b00cec2cead4 · outbound

This paper cites ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation

Reference 43

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source=pdf_text observed=2026-08-07T10:52:06.183696Z digest=sha256:4226886da8ed2d2d314ae98ca18a100dba0340739480c1596385c6cab12de682

Observation 557209aa-e1b0-44b1-9585-ad8668e2e44d · outbound

This paper cites Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation

Reference 44

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source=pdf_text observed=2026-08-07T10:52:06.188659Z digest=sha256:eae851b370ba5a4c40317d221b4c6209f61c97496c320065f4f675b145ceeb6c

Observation ccb885c3-fd4c-4143-b2b1-11c6b7d99703 · outbound

This paper cites Agent laboratory: Using llm agents as research assistants,.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Agent laboratory: Using llm agents as research assistants,

Reference 45

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source=pdf_text observed=2026-08-07T10:52:06.192786Z digest=sha256:44dbf6a520af4518437f7f206709cfb796ba38c5a398d3c17d3851c3b4907ba9

Observation 89c7c6b9-8d59-43cd-856e-ce57992e296d · outbound

This paper cites The story workshop method: Writing from start to finish.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models The story workshop method: Writing from start to finish

Reference 46

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source=pdf_text observed=2026-08-07T10:52:06.201305Z digest=sha256:7bf399cd180ab49aad10a31f1d727c8674565628bb5a247586d224a53ed6d58a

Observation 306c1fcd-e839-43e9-a34f-dab8d4f0632f · outbound

This paper cites Agent Laboratory: Using LLM Agents as Research Assistants.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Agent Laboratory: Using LLM Agents as Research Assistants

Reference 47

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source=pdf_text observed=2026-08-07T10:52:06.196940Z digest=sha256:faf49c8b29fec8cf1a549b5d2ba8642866bb8126d856298ad53b5a689dadc8e5

Observation 5f7a5266-0531-43cb-a83d-c9f1f2e50089 · outbound

This paper cites SlimPajama: A 627B token cleaned and dedu- plicated version of RedPajama.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models SlimPajama: A 627B token cleaned and dedu- plicated version of RedPajama

Reference 48

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source=pdf_text observed=2026-08-07T10:52:06.210523Z digest=sha256:0bf2e962771e78d86333b80250edb841e75f35138341065c2a114c9af467826a

Observation 219c2899-a1d6-48e0-ad14-242551d5f1e8 · outbound

This paper cites Story workshop as a method of teaching writing.College English, 35(2):141–160, 1973.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Story workshop as a method of teaching writing.College English, 35(2):141–160, 1973

Reference 49

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source=pdf_text observed=2026-08-07T10:52:06.206148Z digest=sha256:acbd77d64a7a51528547cf6dd20f4378db97321990dd46e138e30ad242a45625

Observation 648b1394-be21-4c88-8b5e-71aff241844e · outbound

This paper cites ProxyQA: An alternative framework for evaluating long-form text generation with large language models.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models ProxyQA: An alternative framework for evaluating long-form text generation with large language models

Reference 50

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source=pdf_text observed=2026-08-07T10:52:06.224477Z digest=sha256:ed7b97c03c2221d46f417135e08a4adc27a3559ed26989c73f7b7867e06b6ab2

Observation 21e7df10-3495-4870-87d6-562302be22b8 · outbound

This paper cites The collaborative discussion model: Developing writing skills through prewriting discussion.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models The collaborative discussion model: Developing writing skills through prewriting discussion

Reference 51

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source=pdf_text observed=2026-08-07T10:52:06.228370Z digest=sha256:6d8f262ef4dcf33f241158db268d9811913cf684f8e650dd9d1fef7206f8492e

Observation 405e15a4-93e7-4e66-9e71-0674f0afb249 · outbound

This paper cites ASQA: Factoid questions meet long-form answers.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models ASQA: Factoid questions meet long-form answers

Reference 52

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source=pdf_text observed=2026-08-07T10:52:06.219851Z digest=sha256:fe5ec41d0adac69de664c03e3aadb6c1e054f6f821001df706b43a1fe171958c

Observation d44ca209-49fa-46e2-a476-82828f239092 · outbound

This paper cites Qwq-32b: Embracing the power of reinforcement learning, March 2025.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Qwq-32b: Embracing the power of reinforcement learning, March 2025

Reference 53

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source=pdf_text observed=2026-08-07T10:52:06.236923Z digest=sha256:08a3b749519bc1c5ae02c9323e6e6bf3a324dce662342534d21202c9303ce19a

Observation d6563872-0e28-4cf5-b87a-fc584a8f6b96 · outbound

This paper cites Math-shepherd: Verify and reinforce LLMs step-by-step without human annotations.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Math-shepherd: Verify and reinforce LLMs step-by-step without human annotations

Reference 54

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source=pdf_text observed=2026-08-07T10:52:06.241001Z digest=sha256:ad716bde58c8aff06d4418712047fc2e58c394211820480c6be39d5385bc7061

Observation ab1a2662-d2ce-4f4e-9034-f5aac52a2bc5 · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Qwen2.5: A party of foundation models, September 2024

Reference 55

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source=pdf_text observed=2026-08-07T10:52:06.232192Z digest=sha256:a6e33ae45fdecc03a2bbaa43990d58d0e0284fbd8e40406b49ce32b76f785b4b

Observation 428bdf4d-f25f-4696-874f-3af4695a4455 · outbound

This paper cites Autosurvey: Large language models can automatically write surveys.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Autosurvey: Large language models can automatically write surveys

Reference 56

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source=pdf_text observed=2026-08-07T10:52:06.253666Z digest=sha256:820604e17b2525a587c3cb9c88758b2b6bcae4d1bc2ecedff51aa7c20fa65b29

Observation 9e952794-d9b3-4773-8712-ae6099b1ce9a · outbound

This paper cites an unresolved cited work.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Unresolved cited work

Reference 57

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source=pdf_text observed=2026-08-07T10:52:06.257757Z digest=sha256:e10aa41d5c955f6c1f07704f26eb22a53ed171a346808e8ecd87ff21feb86855

Observation 1388e3a4-048b-4f93-a9d5-5f583e8136ce · outbound

This paper cites Generating long-form story using dynamic hierarchical outlining with memory-enhancement,.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Generating long-form story using dynamic hierarchical outlining with memory-enhancement,

Reference 58

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source=pdf_text observed=2026-08-07T10:52:06.245270Z digest=sha256:cf2bf430498540254ea48867be527b1b64bbeb7db70aafb332ac673d5cb3f1e9

Observation 90bd0d8b-0006-4685-90c0-b6a7da4eb5c8 · outbound

This paper cites Shifting Long-Context LLMs Research from Input to Output.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Shifting Long-Context LLMs Research from Input to Output

Reference 59

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source=pdf_text observed=2026-08-07T10:52:06.266270Z digest=sha256:df5a2203083ee00c40c1869a2fcccb3356335d6e5fae385e9679458bddbfc2aa

Observation d563760a-f9f2-45ad-82d3-8f39dbd9103e · outbound

This paper cites Writingbench: A comprehensive benchmark for generative writing, 2025.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Writingbench: A comprehensive benchmark for generative writing, 2025

Reference 60

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source=pdf_text observed=2026-08-07T10:52:06.270504Z digest=sha256:4078b29a748ae3925aff31bca21c995843a3012796f554c42e8ba990b65785b5

Observation 9ad269ff-9e7c-4800-873f-2299f587f634 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Efficient Streaming Language Models with Attention Sinks

Reference 61

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source=pdf_text observed=2026-08-07T10:52:06.274531Z digest=sha256:dd99af4d44faf7735a9e84bc62dbcb0389b717fbee5202d9d3577412d4fbe0ef

Observation 5c2fb926-fa9f-44d8-94ab-f5f538d71210 · outbound

This paper cites LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs

Reference 62

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source=pdf_text observed=2026-08-07T10:52:06.261806Z digest=sha256:6b1929d01489b4c02bb8c2657419d2eaa96113cc0dc199fd2ea8e3e20e9037c1

Observation cb11def6-7dbe-4200-a463-838739b196fc · outbound

This paper cites Qwen2 Technical Report.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Qwen2 Technical Report

Reference 63

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source=pdf_text observed=2026-08-07T10:52:06.283431Z digest=sha256:5cc35888965c6c6fb41d5dad0c447e1c9034ec429c5eefc76693020d02efd195

Observation 2e3243e9-ffe6-4b2e-bcb2-265576d82790 · outbound

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

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Re3: Generating longer stories with recursive reprompting and revision

Reference 64

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source=pdf_text observed=2026-08-07T10:52:06.287673Z digest=sha256:c3b32a83f13a8c9aee81b33c347d0e76c751a1b056caf5366aaa603384642c2a

Observation d16568f5-91f6-4c56-9a9f-b834cd70dbaa · outbound

This paper cites DOC: Improving long story coherence with detailed outline control.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models DOC: Improving long story coherence with detailed outline control

Reference 65

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source=pdf_text observed=2026-08-07T10:52:06.291685Z digest=sha256:a6eac5b093b2c3f6589b8a5068032037198557d23627a39fef3aa8c4857450af

Observation 5f8b2fe9-31a9-49de-bfcc-8c362f4f0d5c · outbound

This paper cites Effective long-context scaling of foundation models.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Effective long-context scaling of foundation models

Reference 66

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source=pdf_text observed=2026-08-07T10:52:06.279099Z digest=sha256:d0b560585a2263abe08496b08e0d17b74871559cab402e675756217e8cdde283

Observation c711046b-16db-4003-84c0-91d748bb0860 · outbound

This paper cites Long Context Compression with Activation Beacon.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Long Context Compression with Activation Beacon

Reference 67

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T10:52:06.299560Z digest=sha256:5687a9c4c9914cf6accaaf910ac577a404b652fd0793e28b8912de2d7790cc71

Observation 29695343-44a9-4d89-9c68-1379cf5ecf3e · outbound

This paper cites WildChat: 1M ChatGPT Interaction Logs in the Wild.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models WildChat: 1M ChatGPT Interaction Logs in the Wild

Reference 68

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source=pdf_text observed=2026-08-07T10:52:06.303576Z digest=sha256:e6d26b17a925e9db91bffc5cf8feeb8765cdcf3277451d6e86919908c79ec45b

Observation cbbb9aa5-1e8e-4e39-aae5-e7c2a7b50289 · outbound

This paper cites P Xing, Joseph E.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models P Xing, Joseph E

Reference 69

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source=pdf_text observed=2026-08-07T10:52:06.307737Z digest=sha256:9e591b12794e314879af6b6f0919f62bccaa001f9a786d6768252b339f8d710b

Observation 16353f71-f58c-45d7-b8af-c92b359ebaef · outbound

This paper cites Plan-And-Write: Towards Better Automatic Storytelling.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Plan-And-Write: Towards Better Automatic Storytelling

Reference 70

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source=pdf_text observed=2026-08-07T10:52:06.295478Z digest=sha256:c38b5116283b2d52058bf3389c803437df2b748bf2312e0c2d7ff774b2091fed

Observation 25456497-bf21-4105-aedc-1db8eaba5d37 · outbound

This paper cites SGLang: Efficient Execution of Structured Language Model Programs.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models SGLang: Efficient Execution of Structured Language Model Programs

Reference 71

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source=pdf_text observed=2026-08-07T10:52:06.315838Z digest=sha256:3ba578e6d6bd3d318b6639e7cb584b12460b904735cc49aa752139f1ce8f1d88

Observation cb45818b-2a6b-4776-af79-b9c316357d67 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 74

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T10:52:06.311871Z digest=sha256:cf677a341d40cbaec90d747f36b676dc7f2c89aae95ec4a41ef01f982ae67ed3

Observation fffce764-4083-4513-a340-3160df872da3 · outbound

This paper cites SGLang: Efficient Execution of Structured Language Model Programs.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models SGLang: Efficient Execution of Structured Language Model Programs

Reference 76

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T10:52:06.319945Z digest=sha256:f0b28904fdfc452d5fc2b7b5184437d6be66649173ed6a09b6441b9c14d88f73

Observation 31bc936c-18f3-4f68-ab2b-abc4cb720704 · outbound

This paper cites - Type: Choose an appropriate writing style (e.g., argumentative, expository, or business writing) that aligns with the intended format and structure.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models - Type: Choose an appropriate writing style (e.g., argumentative, expository, or business writing) that aligns with the intended format and structure

Reference 77

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verified fuzzy
raw_fallback, observed 2026-08-07T10:52:08.061467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.324210Z digest=sha256:21cbfe9a3272094febccd0b24bc324cc262e84d852d67e949058d45df89c85e8

Observation 10c46716-36da-40b1-b2a0-c968c3e6fdf2 · outbound

This paper cites - Structure: Develop a coherent framework that maintains a logical flow throughout the piece.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models - Structure: Develop a coherent framework that maintains a logical flow throughout the piece

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:52:08.046823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.328598Z digest=sha256:aafecafdcc2e0a18f2c56fefef14a7dd5e878d4de4cd9914d76fd2ea08f2648a

Observation 41c23194-1923-4803-ae89-b8e6ad573195 · outbound

This paper cites Provide detailed descriptions, including specifics such as names, gender, and relationships.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Provide detailed descriptions, including specifics such as names, gender, and relationships

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:52:08.032146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.332690Z digest=sha256:98cc5bcf817a6266dc72949de7211522fc3dad6a2a333c8e31cfec8bda9f169e

Observation 4b292725-908b-4d8b-b7e3-cc26e53c9e05 · outbound

This paper cites - Other Key Elements: Include any genre- or task-specific components.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models - Other Key Elements: Include any genre- or task-specific components

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:52:08.018287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.336857Z digest=sha256:a0bd610a496a0d66349f14fbb1ad31fd54b77563a1c4a27b281410bf5289cd21

Observation 88670dcb-e0ef-462e-90d4-eb17c676eeb5 · outbound

This paper cites an unresolved cited work.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:52:07.881886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.340849Z digest=sha256:b91df3a1d11b6767579b3ae111cac2f5b90edb495f2aa36af8f1d07cc59b5ee8

Observation afcb712f-db14-4932-8d47-6602bc359ace · outbound

This paper cites an unresolved cited work.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:52:07.868275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.344927Z digest=sha256:3ab8bfe3860ff3757d59ef421140378d44cf1f3a016ffac4b813618302cf8056

Observation 1164e0ec-7fbd-4c44-95ab-f6a766aa73d8 · outbound

This paper cites an unresolved cited work.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:52:07.853388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.349071Z digest=sha256:26fc2b19a3d0afba8baba501353cb5f5512e1da7daa401cb02fc3fba6c878ce0

Observation 6883f96b-f6fe-40e5-8587-8eaf5a7f7d4e · outbound

This paper cites an unresolved cited work.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:52:07.837835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.353196Z digest=sha256:7e4540a2bf94ee865d31937f6cc98e6b3f84512da6fe6cb15603fa8f56851df6

Observation 37dad8c2-35e9-4a69-ae43-4b83c58523dd · outbound

This paper cites an unresolved cited work.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:52:07.823587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.357046Z digest=sha256:228422854d68bc5b8ca5f159889f7c96471b25708143705fa329b986b9c18663

Observation ccb8c0b0-5fd1-4477-b102-ded4903adf28 · outbound

This paper cites Based on the outline and the key point for this paragraph, construct a detailed writing plan.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Based on the outline and the key point for this paragraph, construct a detailed writing plan

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:52:07.809913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.361273Z digest=sha256:0ddd56c02a6db83f1b0fa4145cbfe8892744fc2a93c207366cd2ccf07bd5094d

Observation ecee9da9-2d0e-4065-88d5-ca2080eb023c · outbound

This paper cites an unresolved cited work.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:52:07.795510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.365265Z digest=sha256:7213474bb903d06e35de29bd313873a180409073519704d12531b112809c9bc1

Observation 19f2bb69-8930-4241-8c2c-65cab24f7c61 · outbound

This paper cites an unresolved cited work.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:52:07.781782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.369138Z digest=sha256:65d451957b304577019f4beaf997477589314e8c90346adf1a0d87bd070fdd57

Observation a38adc60-cbbd-44f8-a31c-dcd07740ae58 · outbound

This paper cites Focus on offering detailed revision suggestions for paragraph idx+1.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Focus on offering detailed revision suggestions for paragraph idx+1

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:52:07.767948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.373253Z digest=sha256:e634fb5da87eb8e0202708371eb09e1120be7556b4c1618c0957efde4ee2ea36

Observation ff8f36f8-e056-4c7b-a667-e99a03e5d16f · outbound

This paper cites This rubric is reused across all queries.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models This rubric is reused across all queries

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:52:07.754043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.378911Z digest=sha256:f1385d93926ca076f3671a885486030c9415088398101ab5f27e7f561eeb916d

Observation 6b7a0afb-d137-4f3f-97f4-3d287a42cd94 · outbound

This paper cites an unresolved cited work.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Unresolved cited work

Reference 91

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:52:07.740229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.383906Z digest=sha256:de60343ceeebaad3aedfd1b27e16998d96e92f3bfeb5fedd83e13115dd6f2777

Observation 7a27bb11-9225-4ebb-9be1-be40c2fe9b54 · outbound

This paper cites The output is a JSON object referred to as evaluate_standard.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models The output is a JSON object referred to as evaluate_standard

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:52:07.725729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.388264Z digest=sha256:b2e74915d813265c8949f443a59cf38764e5ab28a04d4f95b47887f97a55c2c0

Observation 13dade0b-7237-4ad9-831b-efd179a88f15 · outbound

This paper cites an unresolved cited work.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Unresolved cited work

Reference 93

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:52:07.709584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.392402Z digest=sha256:ab5846059d206843b0bd26d0ebcdb2ed21c289d5ed34a2883d1c936b77661d00

Observation 1a6d2c4e-0ecc-413d-b115-ec29fd27c7ca · outbound

This paper cites The model performs criterion-wise evaluation and outputs a structured JSON.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models The model performs criterion-wise evaluation and outputs a structured JSON

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:52:07.692941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.396562Z digest=sha256:54ee1620f9d60e9cb8112aaf0cf98ab52872ff73c83005682328d86f29cc381b

Observation cebd1daf-815b-4d78-8c62-c45399818b0a · outbound

This paper cites Standards: 10: Fully aligned with the user’s needs, highly relevant to the request.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Standards: 10: Fully aligned with the user’s needs, highly relevant to the request

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:52:07.677399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.400917Z digest=sha256:17ce2df09fa700a1ac3be03d654a0ab6e308765b55fb192ec4c2ec727382faf1

Observation c6ecc47b-fead-4b32-b40c-c30100eee8d3 · outbound

This paper cites Criterion 1.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Criterion 1

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:52:07.661360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.404857Z digest=sha256:31d566b8b92297b626bb173ec79a45e7440edc3387f54340036e3021b9e978c3

Observation 64ad1f52-a717-49df-b60a-325d6b3f44a0 · outbound

This paper cites an unresolved cited work.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Unresolved cited work

Reference 97

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:52:07.646688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.409724Z digest=sha256:e51edf96f16c8d4df1ddf21d2e286199f7a2fd9d4491df41a981459e181bcf54

Observation c1e74e89-8a9b-4ce8-9108-2f79f5bcd93f · outbound

This paper cites an unresolved cited work.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Unresolved cited work

Reference 98

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:52:07.632820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.414901Z digest=sha256:97ed789d4e4e98501c5c952c3e7a4b9578ddb436b8e8e138305518322595893c

Observation 2b34c634-c357-4e73-81c6-2ae24802ffa8 · outbound

This paper cites an unresolved cited work.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Unresolved cited work

Reference 99

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:52:07.618158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.419900Z digest=sha256:8e44a98b50e3e24bf67b4202ed5a084963a1c23b67384f62037909a162588a1b

Observation e3bc9e8b-ccd1-415c-8b86-61e9fdc975ce · outbound

This paper cites an unresolved cited work.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Unresolved cited work

Reference 100

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:52:07.602499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:52:06.424676Z digest=sha256:a1e37e3f49c3fe57bcd4d564800d3fe3d4ae30863c995e3b43b9d6704740159f

Observation ffdf4200-b849-4ef7-a9fe-ba362f89227e · outbound

This paper cites an unresolved cited work.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Unresolved cited work

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-07T10:52:06.428763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:52:06.428763Z digest=sha256:33b30467d56ba575c7d1a8c4a0051187408ec7defc22ea8dea2c1cdb1a8bf6aa

Observation 355ddf58-1a2a-4214-8125-7f49c7308e4e · outbound

This paper cites The overall quality of the writing is high, with elegant.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models The overall quality of the writing is high, with elegant

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-07T10:52:06.432792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:52:06.432792Z digest=sha256:1180afaa7b4d62369f30fa6dc6ee36265be5660e0d933b8e9b113695b39af21d

Observation 1fc5ed66-53c2-44d3-aa71-96de588d41d0 · outbound

This paper cites Does the assistant offer fresh perspectives, unique insights, or demonstrate a certain level of originality?.

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Does the assistant offer fresh perspectives, unique insights, or demonstrate a certain level of originality?

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-07T10:52:06.437762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:52:06.437762Z digest=sha256:649961d0d1b7546423a8007c93736c2993b0c2c637dab2c6688f4e11d119960e

Pith citing papers

Observation 0b79df81-2142-4571-b06e-7ea5a5d3b18a · inbound

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning cites this paper.

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:52:09.262054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T07:51:35.381534Z digest=sha256:fa3f384fb3e70f09bf1367254cef3b13327b99342570f1ba4d4f0c90a3dbeaaa

Observation 17a0c34c-7b4d-4fdb-86a1-ef336d815480 · inbound

Mind DeepResearch Technical Report cites this paper.

Mind DeepResearch Technical Report SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:50:20.574773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T11:46:49.178896Z digest=sha256:dcead14018be88810a422006a62188576a0e8fbf8f3f129011795cbf2241440f

Observation ab7b8d0c-e3d2-4aed-afb5-42601fa49180 · inbound

IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural Thinking cites this paper.

IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural Thinking SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T01:37:30.866242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T16:25:57.418334Z digest=sha256:0dcb5e24059df66186c0432c2a4e9ebdd33e2d9e0b853e0ccb88ccbc029e41dd

Observation d999d764-1be8-4d0b-a595-a549d1839cb4 · inbound

ScaffoldAgent: Utility-Guided Dynamic Outline Optimization for Open-Ended Deep Research cites this paper.

ScaffoldAgent: Utility-Guided Dynamic Outline Optimization for Open-Ended Deep Research SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:39:30.149115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-26T17:50:16.183571Z digest=sha256:10c8b986dff9c53832eedac5f886f275862b03594b2286a1ff219c35c09e5c11