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Paper Citation Record · LEDGER

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

As of 9 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=sha256:091e23deb28218f81c66cd6ca82d48ea99dbdea929cb986f37febe8d658bf583

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:ec3b6515f21fe1904553988b278eb9734c2adef37682f35da0bf4b3f309d0e53

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=sha256:14fa152020d6c2c135eddacc0460a07edfc6e530768ec31be3e4612ee96e5c7a

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=sha256:24db4ce38ec95a94ec4b454b95ff3770181ea8c55711772cb993b86c44478620

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=sha256:20fa489b7122c41576884dca0beea7250ee7d0ca5bb237bf2a6abf6a993b571b

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=sha256:92b749db67e10e7f06d468881c777095c8bfd38e43639bc64e1fe7d07477d8ad

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=sha256:5f7692d7629fccb37756a314574d0397767e5079f98f7cae04f4e5cb512c7be5

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=sha256:1c7dac650f95691113fc0bab86ed316b832c5b889bdc5cd204538f4fde39fb92

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:be9c73aa755428899d5317100fc0be19b206b00ed5cc51f757b2a901b51d489e

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=sha256:5fbcdc441f41f11926174809d9aecf0fdf339b42404fcddb47ed323810157d56

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=sha256:09894806545e818476f2b077e94aea08afff7d139cced253bafb8b6661375066

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:e7b1c72ee3d11859f351cf2d7bece86664fbcfb4eae6e1d1ce4e87e0054c1644

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=sha256:1ff4d9c263e7a3d974753b24e87676a2dd3964fcf3b701ff975ef297738338a0

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:b8d838ad6a11b44cb7f20969c89c6306ac5c42dc2dd28d36b3bd4adf3b039b24

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=sha256:44a99566607a7132fc47eea1c494106278daf5d5ac4001b8488dcb8a6950b82e

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:fec8b590a13c339a8a4b6f83f27f1b9da4fb20e4f8145357824134843d4804ca

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=sha256:619df7687242c181f9d4973de2a5051443e93ee7830cbe4bb8141bce074b0773

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:b06452de7bc810b2ed65a743b8ef7f9535f04b9f14c0ccc4e024348e8bc838c9

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:ee9c5c16c9949a29d10bc6b971c434493dfb011db2f4a8177c3949806c6a5cdd

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:eec9971438ddf00dc1b6aa1036089a5d57b6ecea301461be3c8c8de5f1a66dd2

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

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=2026-08-07T10:52:06.079351Z digest=sha256:0b9558a252bec512b82921148ed6486923495118028100d1fb9ab8408182e982

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:c5398d94b4ba71277244b4b41eaf1c004c2c86c2663ad90755974b6db01de430

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=sha256:9f6481aefaef58455f0fba1180e2fe9e8405c996ed92c4e5130a417a55f9d231

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=sha256:10c0740946afaf2ea641c65f286173834faf4182f904a16949c9da010e3c1dcc

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=sha256:855815cd05be4a65724ad2a7ba214093e218015da64d376392db01ce5f64c533

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=sha256:8e1e25f6e2e78530a86082b15a3b0c99834de6ed52ec6e9cb34932f453400512

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=sha256:229d71d6e64a6e4d51f797bf4b5a6e341c6b36c822c33a87a0eb7b56f5f930e9

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:aa8ebd4596fe6fb9b54cb9c64529f3032a32957e3ebc548cc8bedc32813e35cb

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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no resolver link, observed 2026-08-07T10:52:06.119298Z

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source=pdf_text observed=2026-08-07T10:52:06.119298Z digest=sha256:0bee5e4e957bbeddc8b02a793fb86456ce818ecee4aa044908bd69a297a2e97c

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=sha256:12188fccdae4a946b22c74da28a6e14128fbd06df89712cbc977fa814d76628d

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:f2ea0eae3283d603d5f2ed29b0bcd690342880dd36881adf822315ea0eccf4d2

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:d32305358b63214cb8aedfd7b9c8844400834afb61117039e401f7fe38af15fb

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:f55d3dcb761ade18d843e809fd9abf1849587565e6d70738c1dfce09ff69ada4

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:d827ce5ff423a6bb9be53cf0abf3f01ffedb04106f1b71a35931f24c40f18e3a

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:d32e61b3cadfc044936c9bb67955706f9c71a5a1ad4f4fbfc66f064eab1e32d7

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=sha256:7ff83004e738e36c7419c9691182d0bfc672c503f4dcaa95684e956225e2d939

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:dc3b1dad9aaab4ae1d3ef6b0c63af74c321aaae034fd5fdfb1db3d79ab97e4df

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=sha256:6ff79ce11962b9a899cfcee9478ad3726268c63f057042ea501a719f101da521

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=sha256:462b0bf3f33fc72a519287b001c24f555c79568877767e66d93c8a40b47950bb

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=sha256:5e6d7b54f34e591e1ebb2b0b770dc2d15cea282820857574982346c6d70deb17

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:b9c4bf0604713ca4ea3ba006597984ea515b9a56b0c8a6542a4b6ab9994e61a5

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=sha256:80380901507060a01f2a60a787db9cdc9d09cfc701c033194f7833450d9fc8dc

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=sha256:8ff4160c561ec2e20fe9970c2da1ede08a4479fadc71fd1941db63bb4e79c47a

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:af040ba28e3df40ec53c0ee0652dd44fc3c08bf2eaa0aa37ff97137a91da4ebc

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=sha256:4f3d84c925bba70a93a93fccc4a0f66b9f2df4a6b627c2be98ad3f3f643e47d8

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:f579b2c988043d67e1eb129bd460cd0b372274a6c58849eb72f33a7324e22890

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=sha256:70a3456ebf066510938107968337348f62e2b71af2c84d1a8734a9cc7905d97d

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=sha256:40b6a789084704a017646b0b4b2b90232e9d059fbacb9a81fa8067b70687f888

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:d5e825d1d9867816554e0c8d07e21ad19e6d46f577ff4c031a811811d8b417e4

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=sha256:267977de9bb4959143beda3993a58d842267e0e07c755a166525369762eba649

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=sha256:0ef499e8f9c1ac638c501df1790f55b1813a34a5911c34067278e2cbf01f9deb

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=sha256:18fbdbb320d3d451d82fd8acebbc6fc67179cfaeab2e570121efed6e90a357cf

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=sha256:8d7387446b61bef47896104a0564c697206e7341b4d54221c64bedfdaa6c6929

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=sha256:5a2e9da90af579ebfdfc1a2dd3fcb82798386aa1decec8e422c873de6913357b

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=sha256:5be8d4285158a11446b39b958c013c08142ad04b29a28f49e586c6aaacd3a377

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=sha256:58b0f89ce64c0a0eb51049df4081db6af0e0c173c489e9466723bcc03425a8b4

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=sha256:0ba776c38d26ed6fa5fc93d6760c01b9573bf9a3f546d67eaf21e45c5d7040c5

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:daf2ad5c840fc2214bc57ebca8a1235d7202d57533d6d73b1fbd83caf4bc31de

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=sha256:108ecfc0ab52133507216cd9f9243961d2a98ff320a6ac48a9979b65860fc40c

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=sha256:4f6b9b9cd4d8b8e707227ecd5e4d5f31fcd4ba77fadb971b7da4b132ba20e1a1

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=sha256:7e1972394496b7b88459f6a22473c3db5a7c3fee47a0f53ba6cbfe4627191ee3

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:a81d8b29b9e9396ccd71b8fc3074c573942be0cd7b73ed175ecd05c7deec517f

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=sha256:39df01488a4039bd6101d6404c1482936244a65a92cf60b48256563052928e2e

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:c898ed13b92d316940600d4acebb5b1c0a86e303537b0196167156944cdd6c7b

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=sha256:934d776eb0f42ce42d8f603d8cb3468e1e523c314f6b0d7267cdf0bbb18b34a3

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-reported events for the cited work

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source=pdf_text observed=2026-08-07T10:52:06.279099Z digest=sha256:c54d0a3ae896bd10ff0d4d7c3e1df1c3001d0e51572d24871788de1ca362dbce

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=sha256:8d8ff3ed7eaa5fd30bd6c3d1759ebd674aa216969fad27c85fc034bf737967b8

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:fa63cd7881e9776699832b041ca660f9b78d210d5ea8a1f999f2573c7f54ba1c

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-reported events for the cited work

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source=pdf_text observed=2026-08-07T10:52:06.307737Z digest=sha256:dc8e94fddc13721e51ad48d4c625743c92ca807ccd8185d491dbcd1f8b3eb822

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:cb6752176774efadd4c3c1d0be62375572e72e1f9b70951efd3bfe6bc93b60ba

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:b13c50549023bed917cd60ce28a25bea78287aa94f1171f2f63516879cc44c20

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=sha256:7496bb67752a41991d6fb29fd7bb601adfe4e53e3b08ab247e943530366d8bab

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=sha256:1fce9c12f59364a1e3de9c0b0cffeb85da1f1746f3e8f610d30c46adf3cb1800

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

Resolution
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=sha256:8ef719cdb3acda3586894e3271788c9fc15ba49fb8c295758573d0b225398c3a

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

source=pdf_text observed=2026-08-07T10:52:06.328598Z digest=sha256:f4f0a81a6d4fc6c633239614398a1e37cb621484bcbe3388ddd4fca6a8a6f040

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=sha256:0299d78b97ea20711f5ca901a40307fbf3692baff0172398998328f35ef59c7d

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:fb0f933dbcfbc87fe24699fb619ff6ca949465988fc586b6a0fc91d7a94d22df

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:a22c3c1ae4f6ff1726b4b73f296cbb2274ef8173b485b6418bd4191d05547935

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:f22837da7bc4ad4aef63aee4158cd5f8dfd840a5df96b014fd3896f51a1ab660

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:e1bc30d170c628c9659d976058539f87e0fae7bd73ed6c6617eee5f535df64d5

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:dfcb3f5ae0f46623c7bb519e074b1b5e479cc0950420a5e4d97090b87deb9a5c

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:d161d9b19d1d28339ab5bb3477586a5e4156e0a824d85517f686c863925f90a5

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:c58720c1656d0171d0de3579352dfd4b7d0e8c846d1fe597d6584a672df9cd2e

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=sha256:3363d513f035a55519e46e43fc04ac1e2371735f3ef3d6f7ea29dc58490fa93d

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=sha256:8c2dd33eeada529635739efa0f277c1a82b0cdd69ac5efe43ff5d707ebb17cc7

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=sha256:5197e58db78cf005fc7d4ecb6321a8ae3502a0165a6b5e938ec91b3dfb0da732

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=sha256:859d2725caaec625b4757f49a20506e4b2b0fd2735493c5ad5b6901ed3df1619

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:d473f508e22bd446077c770d382e7fd4b629be17e6c7639b9b9dffa02de662f6

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=sha256:8548c3d63f35eee3c9255590e7f6706aa0a2e6612ae4c94d59346512783ab9ce

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=sha256:6727df6bcfe45b5c2134517d7208ac1b2711351c513505b60a3b4244a44222eb

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=sha256:188de5f0c7acb112c61c6c93d2c1d8a80a5e2f0e15ffea359c070032482d4838

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=sha256:0ac474d55f6b82a7328905e66caeff9c00a2909743c828d50c377b5b76a93304

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:e0cb3cd0cab7b937ae28dd6e7ca2e67ddc8bc4dcd5167a4f78df96222ec24e75

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:d7643b9dc0eadb3e1ebf85b27fc99687d7ced658834d7a74b04a7aab340ddd30

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:f3c4e1d3135b9815380c3af9fb668ca242aa771f77fe52446d7eb8689ed96133

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=sha256:51ad4a6e5be8ea43b2e0de60cbcef067483371f82e2da419e8934325e3204292

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:c631d503e876c21cbcc07022a0f0692313bf9b26fcd5f3b746f2cf383e6599d5

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:abfd4960c701e885d6c333fc2c1810f9e0a493e611c780c0ea9c7f00e85da9ce

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=sha256:76a84e7db93771c6d112c0df6cb8005bc1ee6f5bb2d730e93af799965b73311e

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:ecae6423ad5871f194201a68944c6775cdc48499420b18c263c444ca6aa9c4f4

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=sha256:47be19437fd9222bec41a536e0b8bc7cc2ff12405a1ba5d88b3cecc260af6707

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:f91ace1e86dce7d629f0d6bbbea42f81e6d1bf4ffbf3b79259173546dd646024

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=sha256:789289f59a234e895a173c71be45f48f3ad2695c0d6b623e5780360fa4c09bac

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=sha256:43b4359839a6994a04b7c8b9783abb49ccf13a2a32a0c9672ae83ed4fe6cc343