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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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:d13ed56022d291cf378e067e354763e712d0a5b47486c2b902dc672b7c9dc624

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:a0b173735e1b626cc7cb44ae82910ce6015d6cca7d9a12a15b62d2d09348adea

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=sha256:5a126f1fbed55504b914106f577ba36263477b7b7bf68bc0f0c7bd49d748a512

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=sha256:1b4a91ef31be7a166e92b3042ee5e55412badca335c0f0de7667c73a0695d217

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=sha256:55b8059a3c5ad762280d067d9af157a60e73615b15756b076cfa71ec101604cf

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:e93165120615c94a770cc2207ab4c096f7d1726bfd531f55a5ba7d0bad96d16d

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=sha256:4af1147ad609c73af00cd1bc93651f3019c80f932ba4aa7820bb95f75a8ceace

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=sha256:99b18a4aaa5f17f8195abf04cec59d15fb7d2c5438e4582d56b14ce2c1766c53

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:df3445a6f6eeb1a14e9f51583532bb7b9d7a9774626477fa40d19d1263a188b3

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:fc7b533e53c471a10f4c8df421e100157ffb6a12372d16e8bc2382d5e48b9807

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=sha256:1771575c04df011dc084046267c860e0a591b9b99b75b0975c7be223f05ee52f

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:be5b5b86b5c13396cff904aa586cc125052a6c3541d10d7ae8bccfaa51b8868e

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=sha256:709954b864c7d01b2def7ce1224c7583f3792ab1cc591f2b5baad7b525f69516

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:fbbb089a1364fcb63d19e38156643bdb3866bd017c8f198b92f1448f64576976

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=sha256:3e6545bd9ce354c0efcfbeb1415fb3e924b2986c661c63eaf219cf324781e248

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:b31971bdbb0ffdb0d8614b81bb30a0928dcfcfb3bdd456e0f3ecb81763d431ba

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.062316Z digest=sha256:4a564678ffe7ca4303cb327e2234a96330bbd28a00d514068074fcc0f29d4411

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=sha256:7aca702c4797542168065ea3490a7e81ca842feacee9aed21ca952f57b528be6

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=sha256:1949e40af074c17e8200a936f9cd96d6f6e31507ba10c058ae2e1ca1150ccc0b

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:bdd665ebdd006c819b7fd737550245c60de4dcfcf3da60ed06f17db788185139

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.079351Z digest=sha256:baebfa4982a07d51bb11fca87812821b98a67d14a80981fa892127a7ca4f9a0c

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=sha256:11e4c97a77eb5d7213dab4bc938fe167f593ad67da86969acc4a7efdbb121122

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=sha256:0734900b526ca5144aa109985d6266641183d2d8bf5c09fd1dd336f616fa9e7f

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:aec2b68d70ee9f61fd5ad263718d84d8561528276e9270da79180bf1ca436762

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=sha256:916018672446d7c8b835d0b69fa1ab922273201fbf68b30a44e89c276a59ed16

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:b972dbba6cd48c41988f170a91e2ef1f24e31d122806b1770bc3fede72fb32ae

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=sha256:008b36683d4d576a8834979c9879e8a38bf2f2fe3068a9c79432af2a184b579f

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=sha256:74c3f31c28651893b16f3de08e856585ade0da3007806391f4b636de98479ae3

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=sha256:2a839649558fe019b0d754104e722d434dba7511b240922ff65aaa1a3a7112a2

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=sha256:462b7ad73501e795dc2d3cc5196dc19cf85965dd398f077a55f1d1b2a5d42e78

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=sha256:4844c3111ff52ae15d28256e2de79532539ee6c57ac53e89cd7063e838639583

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:cef3fd73bff4ea43850c00dc17d40f06b135c1ae4fabd71b80313bafb7fb3ef5

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=sha256:04735adb2192895488ca340f48e82378b35e7092d5a1727a1ccd81d8cf549d67

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=sha256:81ec6efee15d10fe7644801266e5f783cfc4aa27a3776e29f902630d705f9989

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=sha256:152790200e87041a4d803506f977339d498341ae25cc058a1c2461f1dfae242f

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=sha256:15d9c7a632999efc2e308803069d20e63e0b59edb1e858e35938430b499517ba

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=sha256:53b9738dde62aa616baf14bf790a2ca10cafcae92b934db29bd89a419cae499a

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:c6e4b0e2cc193a3d2a8d2dbb879dfff1e47a4d3d4ad20262018503d569340a60

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:d8be6a3dbed80ae92c0a47d92367b27707393df61f28ab50c2a5e70f38a86fe9

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=sha256:3b754d55466f33a5150ed9ff02b3553b19dfe494a61fcd4ddd831ee94b79347d

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=sha256:1a6de8369fca33ea11c69f1bd592ee79a261f58e76a2d48d6720958b43591c2b

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:a6c04403b023a116e80f9643fe949652d1f630f50193412864e9c232974392e3

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=sha256:1ee899c1283b374c8caa79ee80755fd120148a086e2c39bc7f3ab7dccbbfa6d8

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=sha256:6b7135cf53736248a84f950a47bbf1390136afc0d2d9b117dcbbf2c4c0cd3462

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=sha256:2fa3f9cebe82c1a6998cf8e42e192c5716cfbff7c04f73b5e59cffadb1542efd

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=sha256:8e40b937201899b7d943edf1dd803b8816ba0b3eaa9162829ebfc9a059ad9b97

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:fbe2ddfee086529c0d7168f25db60bce1735e9e6783c8b0e3fce661ec467d5db

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=sha256:004d14dbf4cdc32023435eaeff24eeaed78cac17ad359c2dafbe4ecf37cbb7c4

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=sha256:20eaf0bba3217ccd0e46d2514213a3ca4f9cc8bb406dd0618d8b1c39a33e63b1

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=sha256:0c9de8f5df714f1adc2a75f91bc673291fdb52b6967db483273657dafa0f062d

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:b1fad18205e9db357c8f81ad4a77600012f8f294740e971048f1f847df8a83f0

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=sha256:5f28c55a293242f9ec39757420f0c694565930290c04f2419dcb7391b4e4ce7e

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=sha256:14861ae7266a0473b41fd33240ff2292348e0760de372635d2c6b21503c0a766

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:ace5126cf74f52e5dd82814a5e9a3ec392e75a52f6d3b188d30b17ea9ce6f592

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:b10265f4692c12d51d0208de970d26da0a4545bf23c0047103036d93189adfc7

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=sha256:3b2c7c7639e2887882605357f4677507b411384c449d3b7c680dcd0da03418b4

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=sha256:61a9a078bb4dc8f8971734e6fe23543dca1cc642973c7248395e4859116e6bb6

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=sha256:3bd2f99f2442514a6be8882ce3e72eacda2fb5a461b6e72e8b5a6bb142b061a3

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:f33c0d1c5e04ffe19c9801c784f596c4cc6a57caa074f8658ef26509032f3115

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=sha256:9cd50a99ab499d81b27e3e940928ed093c86df1acd2d4a014b8ceb428d41433d

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:c8930e0e2f2e48ee13ef6bc245085bd38af84b45f1f6e78cc2f998ca0a6efb09

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:b56442dd425b41f90566ed26d3f2ded5f138fbc6a2964066930d38e67f627430

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=sha256:8e8f4df37ee460b525d3c9595cb2ca8c7d6b08c010601dcc5f462a3c2947576b

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:c23f1c0ac2a038233bac1cfd74ddeba6c4971ae3ddb4dbcacc409f6d7164f61c

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:cf41fd0b54d5800af876a4eb7dba82762826033d118554887d794f262c25c699

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=sha256:670b1e212c8d02d088d6f4395621852a2f77466258f7f979dece41ae785f6f9b

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=pdf_text observed=2026-08-07T10:52:06.299560Z digest=sha256:a461b07987fad8a99a4ce32e899ca62eac89c0ca6b2bce02d706fa5768c08122

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=sha256:38f118b12cfc430057a9714fa4dc04751d618306efdc7874dea05ecc248d2914

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=sha256:55d8d91026bfcf6c55e71ddd67f1b9f4d6e48135aada25978decf5b12db8f1b7

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=sha256:9fb87fb3163ec982da9eb01d113fb4dfd7d5db111480d3e953e78d5d5459de60

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=sha256:4713288f95285fcfd21deca9aaec1e1025ac8ca0dd17c233b5f9ec33c28d42e1

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=sha256:259c1bf71326c21d5996e9f4fd276dbb327d8ccf2562a919a49febd4c1a616c7

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:fbd4f56ca5f498b1cbf62bf67c13fe1638aa4f786698dbd3aed36819c95937aa

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.324210Z digest=sha256:bb15ac0439c8f3ef6d0b8e99556203e1c086d0c2ce6dad2c921288978cbd314d

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.328598Z digest=sha256:e401889392608081554e38004e04290efa702311a1cd29f1c4c1674f221073d5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.332690Z digest=sha256:27ddd144ecbc5d033c2e3f0ededb23c743c91af22e736f1a42ffa6f51d841c5a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.336857Z digest=sha256:56390429e29523c89745bb560d1cd6bed37f3fae34565493cc6cdbb2d196b205

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.340849Z digest=sha256:28acd5d543f486d4b3476f742093c4298ba416ece36fa14a280292d597a249fc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.344927Z digest=sha256:48913c41885af59df6d8bf0b78db44cc3a2cead45947eb9b4c70d88308d1f20b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.349071Z digest=sha256:33069f0e45f6943aae845283f5db0529fc10a35ab998e6adabd74c03d1c69661

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.353196Z digest=sha256:d9d63b2e76cd9d2d115aef274aff45a90bbc9c16b389ef71314b988662e5ee0a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.357046Z digest=sha256:c6df7f8ee2d4af85b7aa54eacab6973546a7a1f1a9468517bfe48d71eea43e99

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.361273Z digest=sha256:10a63edc8c64be954b63ca455f2163949179ee4cc66ef8b31e4eb6db7cb1a7b8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.365265Z digest=sha256:26592827bfd34c32710eecf57af3a395fe42daee3f556ff0bbcfe63c1e409b35

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.369138Z digest=sha256:1192b919e006f85e029a0bd87daaae793602065049b7d0096e7a9d9b2bc97774

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.373253Z digest=sha256:b945b8239889a8a3a4d9a41ad1649d63ff86d4129c4ea63a722d22ae8206a331

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.378911Z digest=sha256:599daeff34fff28b4def7942b6663d669471b9691cfe555afcd5a688278c8d3a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.383906Z digest=sha256:f2435d8aca280da4c97c3910049478d4756beb3fd70f5d12b036545e0d33749f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.388264Z digest=sha256:81dca46e00812458c0ea72c10e5484175015c6c8cadba1e00f1d236fee5469a4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.392402Z digest=sha256:8f5e9b492c4c766963f538d3d071def8392889c6cf88d3344ca3b70fd75e304a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.396562Z digest=sha256:a018d3ce909e1a84a10d326f5465bc9100f553a23fe804cd64d5efbc7cedb128

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.400917Z digest=sha256:162109e9b4a3787f771aeaba21846eb633f8515ff9a1ae34e9ffd5129a306b83

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.404857Z digest=sha256:a1ec98aed65c4bb48feb899f71d59a4a72b746f8b08d12287c7801739954283f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.409724Z digest=sha256:c4173bd8b67b1fb2b075067c6965b73af063a63eb52e0ed00e543bdf3749be15

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.414901Z digest=sha256:c128993cc2b3b8fdcdac4909e30fcb1c8ce78ddaf9f04b83a63b2e1c2ee62035

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.419900Z digest=sha256:c2e813b01eade1c81c01a48bf661b78aa307e732f30406957ab1acb0ed962a77

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:52:06.424676Z digest=sha256:2ce0d5004bf9674d7cef731de23ca5e4df7698c382a633b0e05e0e2c27a790b7

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=sha256:7d491c7a848b08d54de4fa32a7f36ed055a8256ad8b8f79e08b5534e00832280

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=sha256:4d850320b6ab53f699b44d67e680d9c24e4c6e489d47baac9997d88183388f47

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=sha256:7f1dddce63766dc2dbeafc42fab139b70f7a9f25f35277255551334aed15d008

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T07:51:35.381534Z digest=sha256:60834701a2d9ed9b7ff379c03a260cfb612547bace82b7ce28054a609a451739

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T11:46:49.178896Z digest=sha256:4bb9fb3a9711612453b15643f3eef87930f2a0ec2b560dc01063143aadab481e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:25:57.418334Z digest=sha256:ba3577a80bc208914083776815f9d4c02e30cf0737f8926fe5e0e00c9950ae6b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T17:50:16.183571Z digest=sha256:1833815be2d72bd7151fa3f7e11c87c9f6eea9ee807b50cd89f2a3c932aa18d8