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Paper Citation Record · LEDGER

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling

As of 8 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2608.05141.

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

pith.paper-citation-record.v1
2608.05141 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:28:40.551769Z

measured 25 of 25 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

  • verified exact4
  • verified fuzzy3
  • unresolved17
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bf64fde6-b374-48f9-b345-e90c3e44283b · outbound

This paper cites Which Tokens Need Context? A Reference-Based Analysis of Translation Responsibility Using Fertility and Entropy.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling Which Tokens Need Context? A Reference-Based Analysis of Translation Responsibility Using Fertility and Entropy

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:28:42.480531Z

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=2026-08-06T04:28:37.526799Z digest=sha256:2d74db18ce0e476649cbd33cf85ba639cb81884bb23bcc1831a2e2c0e265ed88

Observation ada90f15-b077-4626-a571-57182deda404 · outbound

This paper cites BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?

Reference 3

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unresolved
no resolver link, observed 2026-08-06T04:28:37.660245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:28:37.660245Z digest=sha256:0c5cc18880533262362642f774a6e2105975f012b14430665cc74a85469b4f04

Observation 9b6d6858-06fe-4e85-9e2d-d515e5b35fa4 · outbound

This paper cites Mariia Fedorova, Nikolay Arefyev, Maja Buljan, Jin- drich Helcl, Stephan Oepen, Egil Rønningstad, and Yves Scherrer.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling Mariia Fedorova, Nikolay Arefyev, Maja Buljan, Jin- drich Helcl, Stephan Oepen, Egil Rønningstad, and Yves Scherrer

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:43.146796Z

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=2026-08-06T04:28:38.080969Z digest=sha256:fde78b510c478e1069296011dae3ecb14367865ca10a0298cc2a6321b689b9a1

Observation 1f87e031-5769-4dd8-9be9-7e9d1a9a9c64 · outbound

This paper cites RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T04:28:38.233730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:28:38.233730Z digest=sha256:844eddeb8a1cd9b0ae8b9894f9f660b76147647aeaccf6a413c7576556dc3280

Observation 9165db7a-f39f-49f6-b5cb-c57c7e0bf12f · outbound

This paper cites OpenThoughts: Data Recipes for Reasoning Models.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling OpenThoughts: Data Recipes for Reasoning Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T04:28:38.557852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:28:38.557852Z digest=sha256:76c25f212e10fa44e48dffffc8200be5760d3eb8429e68ae972efa3928ba23cb

Observation 699dbc31-f320-4042-9b9f-ae655d63c254 · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T04:28:38.663229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:28:38.663229Z digest=sha256:66338330f5660fcdd7cd7cdebe97c9df2251bc0b6b5d2641fb0a5dd15841e619

Observation 627f5221-b711-4375-9ab2-7b6f6007ffee · outbound

This paper cites Junlong Jia, Xing Wu, Chaochen Gao, Ziyang Chen, Zijia Lin, Zhongzhi Li, Weinong Wang, Haotian Xu, Donghui Jin, Debing Zhang, and Binghui Guo.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling Junlong Jia, Xing Wu, Chaochen Gao, Ziyang Chen, Zijia Lin, Zhongzhi Li, Weinong Wang, Haotian Xu, Donghui Jin, Debing Zhang, and Binghui Guo

Reference 11

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unresolved
no resolver link, observed 2026-08-06T04:28:38.763938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:28:38.763938Z digest=sha256:87cae43af8fbfe15804da905bf7e8175b313518cb5f5d666700b2101aecf2292

Observation 39aa7ab4-fb50-45d3-9fc1-ebdc3a8f8d74 · outbound

This paper cites In TheThirteenthInternationalConferenceonLearning Representations, ICLR 2025, Singapore, April 24-28,.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling In TheThirteenthInternationalConferenceonLearning Representations, ICLR 2025, Singapore, April 24-28,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:43.028382Z

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=2026-08-06T04:28:38.905309Z digest=sha256:3da42451544fa8921a227b50c0158d608c7f605cdb9b7c13fcef928d44aec459

Observation 1e3bcf58-dc7d-4859-8c7b-7455eef74c8a · outbound

This paper cites DISTFLASHATTN: Distributed Memory-efficient Attention for Long-context LLMs Training.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling DISTFLASHATTN: Distributed Memory-efficient Attention for Long-context LLMs Training

Reference 13

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no resolver link, observed 2026-08-06T04:28:38.983112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:28:38.983112Z digest=sha256:7b05210a9d93901a4ed8c435befba6ab585d43e625298c20909370cc9f09c09d

Observation 323c302a-aa6c-42d0-bb73-49773a734b9c · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling StarCoder 2 and The Stack v2: The Next Generation

Reference 14

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no resolver link, observed 2026-08-06T04:28:39.107321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:28:39.107321Z digest=sha256:900435080b9e9abf4c067c9afb9285a3af61cbb00183072fcf34485512b6f142

Observation eb13f4f9-51cc-459e-9031-07625c48d335 · outbound

This paper cites Maksim Sapronov and Evgeniy Glukhov.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling Maksim Sapronov and Evgeniy Glukhov

Reference 16

Resolution
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no resolver link, observed 2026-08-06T04:28:39.408845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:28:39.408845Z digest=sha256:17c062ee7a1bde19678de0632365be396cd3e51e045a3e1267fa9560f7da29c7

Observation 8c41b31f-9596-439b-b4b9-4a829a07e3c6 · outbound

This paper cites CoRR, abs/2512.23675.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling CoRR, abs/2512.23675

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T04:28:39.525663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:28:39.525663Z digest=sha256:92c8a77252d665d1faff0def1e2221a3f35729b4d3c952f923243ee16c684851

Observation b4cc29bb-f31f-4cf3-9e84-4ab223f291ad · outbound

This paper cites Hermes 3 Technical Report.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling Hermes 3 Technical Report

Reference 18

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unresolved
no resolver link, observed 2026-08-06T04:28:39.714015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:28:39.714015Z digest=sha256:3b35a18fc30b2efccfa33f10e914c3e3e3f131233dc37106bb01a2a97e730564

Observation a7f6aa54-16cc-4c57-ab37-6a8a38fe2ec9 · outbound

This paper cites InFindingsofthe AssociationforComputationalLinguistics,ACL2026, San Diego, California, United States, July 2-7, 2026, pages 13122–13133.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling InFindingsofthe AssociationforComputationalLinguistics,ACL2026, San Diego, California, United States, July 2-7, 2026, pages 13122–13133

Reference 20

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unresolved
no resolver link, observed 2026-08-06T04:28:40.026344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:28:40.026344Z digest=sha256:b5c5ab28eaa6465a71f191be80f3e7b862aeef24ffb31e89fcbd4f29f7543f3c

Observation b42f80a7-fc6d-4b31-9a36-90fe91e62b9b · outbound

This paper cites an unresolved cited work.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T04:28:42.906747Z

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=2026-08-06T04:28:40.250519Z digest=sha256:789a34c46a979b9e4d1042364f800c2337903c46bdef226bd3ccb3d92520d21d

Observation c6d66b5d-4d1d-4fb0-a286-28f20ad4b6c9 · outbound

This paper cites an unresolved cited work.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling Unresolved cited work

Reference 23

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T04:28:42.784658Z

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=2026-08-06T04:28:40.366600Z digest=sha256:a6cfa52e9f1a114ce61fc8632e231111b102ac119bbd43c48d9dcfef0c864284

Observation 7aef7b35-7c2d-4627-b151-207034e99bee · outbound

This paper cites an unresolved cited work.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-06T04:28:42.617242Z

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=2026-08-06T04:28:40.443487Z digest=sha256:de1cecc1de534e080b2f2ba62304847d795f3e2984924f08caed9087d51a8a11

Observation 83be0a09-4770-4702-8c50-2ba2a5a78bfb · outbound

This paper cites an unresolved cited work.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling Unresolved cited work

Reference 25

Resolution
verified exact
raw_fallback, observed 2026-08-06T04:28:40.941130Z

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=2026-08-06T04:28:40.551769Z digest=sha256:631849fa3614ac02a0d0f1d2edcbf4bb00bc38e26d6ef0ffe9e12d2c5bb5c1ee

Observation 8022aef4-dd48-498a-ab5c-d9ef0501ca3e · outbound

This paper cites InPro- ceedings of the 6th Workshop on Formal Integrated DevelopmentEnvironment,F-IDE@NFM2021,Held online, 24-25th May 2021, volume 338 ofEPTCS, pages 3–18.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling InPro- ceedings of the 6th Workshop on Formal Integrated DevelopmentEnvironment,F-IDE@NFM2021,Held online, 24-25th May 2021, volume 338 ofEPTCS, pages 3–18

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T04:28:39.301450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:28:39.301450Z digest=sha256:09941a56df8b888d41abfcd8b5d4bd63ecd4d8bbbc0f617195bacde0c2236075

Observation f7fa90b1-c77e-4233-a856-1633452e9182 · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling Yi: Open Foundation Models by 01.AI

Reference 2022

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unresolved
no resolver link, observed 2026-08-06T04:28:40.172684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:28:40.172684Z digest=sha256:63755b1e65b1eb70d7ff0e33a0fec785d9719ae975547991a8c567a4b3364cd0

Observation b584ae19-ff4b-4c1e-9382-013afcb73ae4 · outbound

This paper cites InProceed- ings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Sin- gapore, December 6-10, 2023, pages 3029–3051.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling InProceed- ings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Sin- gapore, December 6-10, 2023, pages 3029–3051

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T04:28:37.949178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:28:37.949178Z digest=sha256:c199912c1a980458051763b0ee9d194c7aa0b66056f5e3dc10130882d3b5fdcd

Observation d7c506e5-3951-4476-ac0c-5b53c5e3ed8b · outbound

This paper cites InIEEE International Conference on Software Maintenance and Evolution, ICSME 2024, Flagstaff, AZ, USA, October 6-11, 2024, pages 888–892.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling InIEEE International Conference on Software Maintenance and Evolution, ICSME 2024, Flagstaff, AZ, USA, October 6-11, 2024, pages 888–892

Reference 2024

Resolution
verified exact
raw_fallback, observed 2026-08-06T04:28:42.151842Z

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=2026-08-06T04:28:37.791556Z digest=sha256:fe07c07eaa1fffb476e076d5843f93f9c4851b49833b11f7b8cc0ec9b47b3e2e

Observation 841c93be-68a2-414a-9e5f-ded1101c3ace · outbound

This paper cites InThe Thirteenth International ConferenceonLearningRepresentations,ICLR2025, Singapore, April 24-28, 2025.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling InThe Thirteenth International ConferenceonLearningRepresentations,ICLR2025, Singapore, April 24-28, 2025

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:43.310784Z

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=2026-08-06T04:28:37.430689Z digest=sha256:ef43e695cb5374153601ed054e7babb1834b417a846e90553d482fb0c7e4846b

Observation bee806b5-1d69-45ed-880d-b1d2e59ff175 · outbound

This paper cites A Decomposition Perspective to Long-context Reasoning for LLMs.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling A Decomposition Perspective to Long-context Reasoning for LLMs

Reference 2026

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:28:41.247538Z

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=2026-08-06T04:28:39.832305Z digest=sha256:3dc90b27cc2b124d2739e4cb01f3511590bed894cc7d7ec552eb2d3f0f7326bb

Observation 8a2c8a47-3f94-4221-b2e7-a9bc8e3e8924 · outbound

This paper cites Charles Goddard.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling Charles Goddard

Reference 7399

Resolution
unresolved
no resolver link, observed 2026-08-06T04:28:38.373784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:28:38.373784Z digest=sha256:4dde93c15ac31a6086d514828ea34fca5f5258cc61c2366cfadee2dcd11f446b

Pith citing papers

No inbound Pith citation observations are available.