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Paper Citation Record · LEDGER

Language Models can Self-Lengthen to Generate Long Texts

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2410.23933.

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

pith.paper-citation-record.v1
2410.23933 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:25:52.062256Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:25:27.915665Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation aa1c5a91-2fb0-4d88-b953-8733e7e3c082 · inbound

Qwen2.5 Technical Report cites this paper.

Qwen2.5 Technical Report Language Models can Self-Lengthen to Generate Long Texts

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:25:27.918746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T06:25:00.376073Z digest=sha256:66baf9147d75b070390f7bb74468cc1d3e0dd47ed1e2eaff00515a20b6c4ebe4

Observation 7bdd4131-4a00-4699-afb2-8d6bc1d72859 · inbound

LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information cites this paper.

LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information Language Models can Self-Lengthen to Generate Long Texts

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-09T13:25:52.062256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:25:52.062256Z digest=sha256:f40fc30f3f1fb4e8376c2ec0f070c69af4068b5db3cd40108464001ee37f09de

Observation bb0e9050-1346-4443-b9b1-b22197d61123 · inbound

LIFEBench: Evaluating Length Instruction Following in Large Language Models cites this paper.

LIFEBench: Evaluating Length Instruction Following in Large Language Models Language Models can Self-Lengthen to Generate Long Texts

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-07T15:08:07.651762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:07.651762Z digest=sha256:eb4cd6d34a928aba208b512aaf7df9bcf0ab6764954a4661e426e2608e2da1ac

Observation 150ea20d-2ec9-4635-a69c-a23d2736ff5f · inbound

HiCaM: A Hierarchical-Causal Modification Framework for Long-Form Text Modification cites this paper.

HiCaM: A Hierarchical-Causal Modification Framework for Long-Form Text Modification Language Models can Self-Lengthen to Generate Long Texts

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:18.320583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:18.320583Z digest=sha256:795162a94c88c73939d1cce0f621b657394341d57bec6ef15d9d9ac9e36c58c6

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

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models cites this paper.

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

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T10:52:06.151992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:52:06.151992Z digest=sha256:82f17c380788d3561eedbfda4c3c90f715d9750f521166720df06addcf1817ae

Observation 7f916c0f-343d-4939-b8c4-b798ac8b7d93 · inbound

Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning cites this paper.

Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning Language Models can Self-Lengthen to Generate Long Texts

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T10:53:02.877270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T10:52:32.933138Z digest=sha256:983a861fddd01b888d7cd66ae0f50afba9795f9a70f4807c0d573df7bf0d9463

Observation af0e19c5-2eb6-430a-ae51-841b64141c9a · inbound

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

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning Language Models can Self-Lengthen to Generate Long Texts

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:52:09.319619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T07:51:35.381534Z digest=sha256:db1a3d08367a80d5da9aa9aef11ba876e044046cc361eee9dd20990404086290

Observation b6ca2670-c379-4da0-9e7b-154b0e37e33e · inbound

A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM$\Delta$ Integration into Upcycled MoE cites this paper.

A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM$\Delta$ Integration into Upcycled MoE Language Models can Self-Lengthen to Generate Long Texts

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T11:13:13.596221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T11:09:22.027588Z digest=sha256:178a286f6a1c1aeb7ebc83576ec7143495e3beaeedfa21579079280c04510a4f

Observation eab5fd73-f5ee-49b2-8a7c-dbe06d4eb876 · inbound

SimulS2ST-Omni: Data-Efficient Streaming Speech-to-Speech Translation via Explicit Trajectory Supervision cites this paper.

SimulS2ST-Omni: Data-Efficient Streaming Speech-to-Speech Translation via Explicit Trajectory Supervision Language Models can Self-Lengthen to Generate Long Texts

Reference 234

Resolution
unresolved
no resolver link, observed 2026-08-01T11:43:06.858099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T11:43:06.858099Z digest=sha256:afb69bf0c1dfb7b4b1b94f0a0eee757255f41cb87154cd9abd93924c56b226f3