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Paper Citation Record · LEDGER

Long-Short Alignment for Effective Long-Context Modeling in LLMs

As of 9 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2506.11769.

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

pith.paper-citation-record.v1
2506.11769 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:10:21.094496Z

measured 18 of 18 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

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d41f2275-07fa-43d4-a505-71830391eb38 · outbound

This paper cites Scaling Laws for Neural Language Models.

Long-Short Alignment for Effective Long-Context Modeling in LLMs Scaling Laws for Neural Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:20.143320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:20.143320Z digest=sha256:7f367b961446e2e348ed772723a7523b3d77f21b9606b5ec0b8bc04f82f656b6

Observation 5b0b2d2a-3666-4e71-a7ea-d384c72101a5 · outbound

This paper cites Long-context LLMs Struggle with Long In-context Learning.

Long-Short Alignment for Effective Long-Context Modeling in LLMs Long-context LLMs Struggle with Long In-context Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:20.209082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:20.209082Z digest=sha256:b208130946cc3474804ae8c91c2fb69cf4a4df715343b45d6121b37941628247

Observation e184c060-fab9-4353-b0bb-4d832a715958 · outbound

This paper cites Investigating the Limitations of Transformers with Simple Arithmetic Tasks.

Long-Short Alignment for Effective Long-Context Modeling in LLMs Investigating the Limitations of Transformers with Simple Arithmetic Tasks

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:20.273388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:20.273388Z digest=sha256:7e7650a20a1f2f7a1073bbba84dc885527a19a4f7b1420ae28c8c3ae522a2bd1

Observation 98435c60-d14c-459f-a53e-2086b7680211 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Long-Short Alignment for Effective Long-Context Modeling in LLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:20.370500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:20.370500Z digest=sha256:3e63fbd573e9f150074dfc81d5087af671f0c9c301c3f306cc9647c319eaeecc

Observation b9c9f67d-e461-46a8-abef-c5dce0a48766 · outbound

This paper cites When More is Less: Understanding Chain-of-Thought Length in LLMs.

Long-Short Alignment for Effective Long-Context Modeling in LLMs When More is Less: Understanding Chain-of-Thought Length in LLMs

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:20.567214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:20.567214Z digest=sha256:91f0c162f947a0bb1437306730b241b5032f300e543a91eb697b971438da032f

Observation 88b3ab28-5c6a-45b9-90cd-6d9830ab208b · outbound

This paper cites Extending LLMs' Context Window with 100 Samples.

Long-Short Alignment for Effective Long-Context Modeling in LLMs Extending LLMs' Context Window with 100 Samples

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:20.691791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:20.691791Z digest=sha256:a8fc45b05c61aec68c40a1a0246371f7969154389ce7d9c2d430796f399bdd1e

Observation 0d663b13-59c5-4607-8b67-abfaaee64797 · outbound

This paper cites an unresolved cited work.

Long-Short Alignment for Effective Long-Context Modeling in LLMs Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:10:22.073740Z

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=2026-08-07T04:10:20.776731Z digest=sha256:48f2bf0b29414723938be516153ae004a78926e60820a81ab59e3eb68bf37671

Observation e037debe-6843-4b17-a710-b4b1a357231a · outbound

This paper cites Chen et al.

Long-Short Alignment for Effective Long-Context Modeling in LLMs Chen et al

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:21.930941Z

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=2026-08-07T04:10:20.838304Z digest=sha256:11d46e8109c4f2a80498d980409389fd3c315073199622373a091bff54f8c813

Observation bf0547a6-e638-43f8-94c6-c62d53b965cb · outbound

This paper cites an unresolved cited work.

Long-Short Alignment for Effective Long-Context Modeling in LLMs Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:10:21.820567Z

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=2026-08-07T04:10:20.898798Z digest=sha256:2ae36b14373f92a8d1fb7eba81f4906e9d00537191e1bfdb6ce6a791f72f9c72

Observation 6882452e-7cf0-4cda-a3ed-3b669052494d · outbound

This paper cites We consider several positional encodings: learnable positional encoding (Radford et al., 2019), Alibi (Press et al., 2021), rotary positional encoding (Su et al.,.

Long-Short Alignment for Effective Long-Context Modeling in LLMs We consider several positional encodings: learnable positional encoding (Radford et al., 2019), Alibi (Press et al., 2021), rotary positional encoding (Su et al.,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:21.639379Z

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=2026-08-07T04:10:20.946154Z digest=sha256:e200bc8e2fb73fdc812bab03e957fae94b5756436b4494bee83e1e807215db4b

Observation f0b6a1d9-bc44-4c70-aebe-4f412800780a · outbound

This paper cites an unresolved cited work.

Long-Short Alignment for Effective Long-Context Modeling in LLMs Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:10:21.508587Z

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=2026-08-07T04:10:21.015425Z digest=sha256:17b3a7b961fbd66d9e14bf8c40e2150a27d69b9666ca316de67b7b79623f6dd5

Observation af86e4e9-33a0-419c-8ffc-55a648ce382f · outbound

This paper cites The models finetuned with our proposed loss outperform the baseline across different model adaption strategies.

Long-Short Alignment for Effective Long-Context Modeling in LLMs The models finetuned with our proposed loss outperform the baseline across different model adaption strategies

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:10:21.386887Z

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=2026-08-07T04:10:21.094496Z digest=sha256:d26bb66e88a8ff3ddf694cebb92ba366c4358564483782ff1cf9684118243a00

Observation c0dbe27f-05ff-464c-aa04-4cc990eac546 · outbound

This paper cites Neural Algorithmic Reasoning.

Long-Short Alignment for Effective Long-Context Modeling in LLMs Neural Algorithmic Reasoning

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:20.477229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:20.477229Z digest=sha256:0e84859f068aeff7105db6d0cbd10bd0f9a93e8e4b50086baf5d0907b81bf1b0

Observation f63e5a60-ffb6-443a-ac33-8a42ddb42fc4 · outbound

This paper cites Compressive Transformers for Long-Range Sequence Modelling.

Long-Short Alignment for Effective Long-Context Modeling in LLMs Compressive Transformers for Long-Range Sequence Modelling

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:20.315465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:20.315465Z digest=sha256:10e0e407035f57ef334ec7922a756d754aab94242a2e048a5df049d741cc0bea

Observation a1ab1b0e-2d20-4299-8068-8d7d3bdcac56 · outbound

This paper cites Qwen Technical Report.

Long-Short Alignment for Effective Long-Context Modeling in LLMs Qwen Technical Report

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:19.931260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:19.931260Z digest=sha256:869f0d5acaaa89b655995ea318259852d8dc1a62766c8e22d383ed0210373173

Observation 947c460d-62b3-47b1-8a1b-73edab59c729 · outbound

This paper cites Length Generalization in Arithmetic Transformers.

Long-Short Alignment for Effective Long-Context Modeling in LLMs Length Generalization in Arithmetic Transformers

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:20.054268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:20.054268Z digest=sha256:6de6baa9a8df55d7d969c4290aeb580b69b6c37e933053a2e9bafe550a81ac6c

Observation f6b19702-2290-4ec8-aefc-cd59d9a9992b · outbound

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

Long-Short Alignment for Effective Long-Context Modeling in LLMs Extending Context Window of Large Language Models via Positional Interpolation

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:19.973379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:19.973379Z digest=sha256:4921321487da2cb311d0e1498279ead18bf7c3fa6c055a8270661206b44ed55b

Observation 94ea03ec-cb30-4ec6-97a1-8a341a572f2e · outbound

This paper cites LongQLoRA: Efficient and Effective Method to Extend Context Length of Large Language Models.

Long-Short Alignment for Effective Long-Context Modeling in LLMs LongQLoRA: Efficient and Effective Method to Extend Context Length of Large Language Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:20.626807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:20.626807Z digest=sha256:557a3a40c8b3331ab3af6e6c8477a304eed7c7261cd2c9eb5ea3d799a6a63c72

Pith citing papers

No inbound Pith citation observations are available.