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Paper Citation Record · LEDGER

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation

As of 21 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 6 inbound Pith citation observations for arXiv:2502.07365.

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

pith.paper-citation-record.v1
2502.07365 v3

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:02:23.655720Z

measured 87 of 87 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:23:45.942773Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:26:37.959160Z

Reference resolution

81 of 81 outbound references displayed

  • verified exact6
  • verified fuzzy4
  • unresolved71
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 56b6c24c-f595-457e-84fa-f415cfb9af25 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.360505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.360505Z digest=sha256:0d906ffc141891d7980bfc8572ca29754758e39ef3fa81ebdcdcacea932f2818

Observation 2b95d774-fe6e-4ba8-9f93-61e0419da470 · outbound

This paper cites Program Synthesis with Large Language Models.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Program Synthesis with Large Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.365078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.365078Z digest=sha256:fc64524686744cd352f2abb401035eefb4f269d90d790be9c2e93f341273420a

Observation 28ad1b59-5cc6-459f-af0e-1223b3cff38b · outbound

This paper cites Jiang, Jia Deng, Stella Biderman, and Sean Welleck.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Jiang, Jia Deng, Stella Biderman, and Sean Welleck

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:02:24.543721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.369471Z digest=sha256:59372e4b11b1941f515cec04cafdaa29291aacacbb9b47124e8b1aefa48a4118

Observation 3a3c2109-3bce-43c0-80b2-1ec9d4eba098 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.532687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.373701Z digest=sha256:85e1ae0486ca92cdf694ea0b7813aeb1d404fb7167ad14332cbf50341cfbba67

Observation aef02e3f-58ca-4827-97cb-528f64ffe928 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.521061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.377192Z digest=sha256:a86b2b69fab47b3c96a165a363ea9ce753313060784ee786165dc25a1c38702d

Observation 5b836ad8-1323-4b45-8395-7c36c49286e8 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.381190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.381190Z digest=sha256:e94e6daa7c6b4ad2e1e52ac91608282ea8ad4da4ae13bc44183387f7a7aff653

Observation 197500cc-e01d-4e97-a56b-888ac3c22b60 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Evaluating Large Language Models Trained on Code

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.385804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.385804Z digest=sha256:615d7845ced3b7b035642e0905db28078a584ac016fe5d54274c4817d3bf8569

Observation 1542440e-ac50-47e8-a02c-c6ed59d6aac1 · outbound

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

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Extending Context Window of Large Language Models via Positional Interpolation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.389865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.389865Z digest=sha256:459e1db2440d50bea7a845a0cfc91085c77a5dc03818cf2738bcd81b3c2c9781

Observation 0d07e6d3-bc2f-4c7e-933f-dbf62dfd9963 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.503196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.394288Z digest=sha256:6e95bbb0e816442a253e565d81bf5445935d78fec1fc186d6c23e32b18a23080

Observation 58656352-dd46-4280-83b0-75243c5d2710 · outbound

This paper cites An Empirical Study on Eliciting and Improving R1-like Reasoning Models.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.397708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.397708Z digest=sha256:4624aa3a414b0e17f48f1159e69832a11f368d46bdfb3483062441c49a762a09

Observation d9b3a9bc-d3d3-4dfa-b0d3-b98718ec741a · outbound

This paper cites Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-08T13:02:24.116534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.401667Z digest=sha256:992049666aaff2dcdbc4954ecf27faa6e8a2a6a4197a4b10ae5bfa129e3ccae2

Observation bc4fc532-8cd0-4bab-bb8f-14bc18e70400 · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Gonzalez, Ion Stoica, and Eric P

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.405037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.405037Z digest=sha256:7bbf85e5edd5a4484c416812148cf7eaa23784ec5bee0740ebac25218af5d12a

Observation 5cfc586c-77e0-4035-a1d3-15f9d1b55dc1 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.485847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.408133Z digest=sha256:96df68de839b60bcd99cb8514bf1fd5e6a07dd4de93cdfd4ccd2092846313a31

Observation e0c6efbf-02ae-409a-bb4b-ca1e5a7f6b8c · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.474579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.412060Z digest=sha256:5dfb4448db62b9c57f83c6be2c8aa4e484d4be408518a1a5a7c0d19f45714364

Observation 150cb29a-d3c1-495e-9d36-8ae0b4f16f21 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.415540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.415540Z digest=sha256:e360c9943b1955b315e1d3a00ccf38adeba60f31eeea7c7efc8fd99bcf0eb315

Observation 3ad32f89-ac86-4f3a-b638-04d15be6a4ee · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Training Verifiers to Solve Math Word Problems

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.419590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.419590Z digest=sha256:f9696227ad6c658c7561ca6d3ea6d7ac2e0f6f2b981a113d707117a8b21779be

Observation d3875485-ab05-4dcd-8dd5-344a9f555086 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.423985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.423985Z digest=sha256:7d0b5d1cb7ad63942de3171b16b2c524bcbd050802cf0a641b4103c86cf040d2

Observation afdea3f2-78f4-434c-8520-0159e72e45c7 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.457854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.427217Z digest=sha256:c201ee5bf78550859d9f0ac82ae46f063af1383aaa98ee3df562f4032dacbc80

Observation bda83ab4-589d-497e-ac29-62899cb48527 · outbound

This paper cites Exploring Context Window of Large Language Models via Decomposed Positional Vectors.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Exploring Context Window of Large Language Models via Decomposed Positional Vectors

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.430948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.430948Z digest=sha256:6c2d37e1974f02280a2e9bb34b98f8ae83f90835928fa084ec7f7baa1308d080

Observation b4c667c8-0397-4f3f-bb6a-3929a9772ca5 · outbound

This paper cites Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-08T13:02:24.074610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.435083Z digest=sha256:883ece88430ffda77e958273399d6e3c7fcd1f91b0cb7c8f66599ce13d6c6c9e

Observation bc95f4ef-eb88-4cfa-9466-24685a992cf8 · outbound

This paper cites A Survey on Long Text Modeling with Transformers.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation A Survey on Long Text Modeling with Transformers

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.438663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.438663Z digest=sha256:3a593a8eb677657b3b68420ebf26d251ff734ab75c34d28fe8d626a041c42a18

Observation 45ad5809-9fad-4e6e-a9da-ef8b6f6b4418 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.446649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.442600Z digest=sha256:1e7f3e1b5c1ee9d0c6dca87653bcc377d982e75e6e8b1cce4928c1b71832575a

Observation 9c8b76da-2251-4498-a43b-a4c9a08d14ec · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.435254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.446073Z digest=sha256:e0855cd3948618a87a44719cabb641240873843563928214add7f809f2473402

Observation ca0d512c-435b-4e2c-8c32-cb7f3321c9d5 · outbound

This paper cites The Llama 3 Herd of Models.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation The Llama 3 Herd of Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.449295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.449295Z digest=sha256:c9df5e88378363b03c8b1390214ac346549a878074a487dfd530945834c9260a

Observation ce4087a6-3f70-4a75-9c3a-b24d32a3f32f · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.424986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.452704Z digest=sha256:8e75f9f0421614dc8f2105a5b01ece2b2630a438b7e048c9f28e698c8973d824

Observation 1c5cbbbe-da44-4578-aa46-6000ae950a0d · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.414732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.455986Z digest=sha256:831a2146562c036d4f7caafad48178bc7bdd993499691921e17a8a19c0ad66d8

Observation 08fbe057-38af-4839-a474-0d85aa937256 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.459603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.459603Z digest=sha256:ca980f20c7dd37aeb1d919d203c9155e280db5077e3afaef35a15cad9294bc72

Observation 7299202c-b1b6-4362-8915-2015d19ffd03 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.404561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.462660Z digest=sha256:abc6c7ae2eebad4eb4f2324035735d63010f26ed9284597273c53548c7201f7e

Observation 9c5bb579-0a93-4f9e-89b4-1066f8227d71 · outbound

This paper cites LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.466396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.466396Z digest=sha256:8c749dcb41da7190788b343b17f6e071496b14696ea9acad1e680bdccffbb4b7

Observation 5338fb71-0e05-4a25-8613-82abf0d085d4 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.392896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.470385Z digest=sha256:5aac4f696d9a2df1c783fc61b930f7459f5c401b0aa8b77757287dceda941744

Observation 74ec9e75-d51c-4dfa-8978-a04f68f537f7 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.382465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.474112Z digest=sha256:dfcc1004cee7b28ffc01cb0ea49e99fd6952837373b97bf7e42472a681d78014

Observation 488345ee-e10b-4c39-bd1e-86ca9d261fe8 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Distilling the Knowledge in a Neural Network

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.477263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.477263Z digest=sha256:1eea94281bfccc0bda23c849a27e256bd7565b15cb01b3f66b37b9a559d6cd68

Observation 205a9082-2489-4591-8e6f-587a160e3652 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.371856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.480825Z digest=sha256:0d87981a2a766f1519c1da84488681641db2180e73b19f53b2d5bffe63348604

Observation 555a3251-6f50-4498-887c-89a70df4638a · outbound

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

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.485190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.485190Z digest=sha256:63823b1b883f13c2381a7b1a06bf42059432140af110e2c7398775cf306db544

Observation de18bdc6-8cf0-40e6-9c40-2fd30504536e · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.488961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.488961Z digest=sha256:2a41f67be00e5bef8251967b32f68bd3130e9345041e30e766624084298dcb2e

Observation 862775c8-f6db-4d05-82ec-2e8f1b986b7c · outbound

This paper cites LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.492987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.492987Z digest=sha256:e11c5e7aaf336a53a43fc34a48a68dec6506aa863c35ae49c894caf6656673b8

Observation 73d87952-1a35-4439-8469-83692f0847d6 · outbound

This paper cites Mistral 7B.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Mistral 7B

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.496427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.496427Z digest=sha256:bfa007e22b4a06d1b78964738ac78b5cc7568be1d71285b1138c2b076b6ce11a

Observation 72fb9292-80c8-4985-a431-dfa0bd62ece7 · outbound

This paper cites Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-08T13:02:23.895811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.499938Z digest=sha256:5c5887d00c9165e61c1b3dcfb691ec381d349f55b1eb47bb48d530d7c81c4b0e

Observation 6e139a00-6d93-4913-931b-cd20f3a4419c · outbound

This paper cites Weld, and Luke Zettlemoyer.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Weld, and Luke Zettlemoyer

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:02:24.361244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.503367Z digest=sha256:73d72f764d5bd336076795cfeb60353ae967960cf18716e4ab31dbffe3593c80

Observation 2d79aba4-80b2-40cb-8a8c-895f0dba9726 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.350470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.506337Z digest=sha256:2f1a0e9812c366aa7696b183d8dda1f86f162c3b425d6d271a9bb774d01ed29f

Observation 79a42152-0190-4603-b725-27843b3580ce · outbound

This paper cites Ring Attention with Blockwise Transformers for Near-Infinite Context.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Ring Attention with Blockwise Transformers for Near-Infinite Context

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.510009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.510009Z digest=sha256:c37327b340e02fe59f6d3d5ed3be8ad2d986e95843b92d6fb6970d1de7eda0d5

Observation 5b04a214-3a0c-4659-bab0-6e958cf527f0 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.514229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.514229Z digest=sha256:5a5c5cbc8fbcb438c7429879b648696b92ecc959e3500fa672d01eff2ed1afe2

Observation 1eb5e699-5d50-4270-93f5-500334a3c508 · outbound

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

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation StarCoder 2 and The Stack v2: The Next Generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.517219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.517219Z digest=sha256:736a66167c47be90ef6c35ce77f29d2316d0215b388700ae90c101f36722c7f8

Observation b5da2fbb-0732-48af-b934-bc92010432c3 · outbound

This paper cites ShortGPT: Layers in Large Language Models are More Redundant Than You Expect.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.521289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.521289Z digest=sha256:d3295f492452ef2c1d533be7b940ea00571a4b3a08a82913a73f0ce7824e520c

Observation 5c6ca40c-ae67-4ec9-b0c4-a33efe6bb00e · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.333069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.525096Z digest=sha256:d4f570e71571c8f3e4766d68f1254131073f2700bb009a3f53c9251192c22ea5

Observation 98dc565b-a05c-4681-829d-408531fb4b47 · outbound

This paper cites Orca: Progressive Learning from Complex Explanation Traces of GPT-4.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.528753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.528753Z digest=sha256:c2856409135e44b9e681ab9f242501eb0754299fdbeccfe29d35360c796ead4c

Observation 7dfdd60e-cd85-475c-9a4b-73c899cf5756 · outbound

This paper cites Compact Language Models via Pruning and Knowledge Distillation.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Compact Language Models via Pruning and Knowledge Distillation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.532389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.532389Z digest=sha256:73649bbe1036848e05ead09ff4e4f06899bfb4bc7955233ee938e18fc3d4c628

Observation f05c5cc8-21ae-4af2-923e-fede0ee399c0 · outbound

This paper cites GPT-4 Technical Report.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation GPT-4 Technical Report

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.535671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.535671Z digest=sha256:5eb02e193a0be2f025578a0c4dc380769122ffd3b6c03a4cbd4b1efa9a3b9111

Observation 09b8a079-e146-4bec-9a6c-26f7b905e9c9 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.322415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.539461Z digest=sha256:8c6ca2dbd46355d75a78a0100e372ec57dd1f3ac33ba7c19b6e3a67b71bb17ac

Observation 464df715-05a9-4f0f-bfdb-e22a1c877456 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 50

Resolution
verified exact
doi, observed 2026-08-08T13:02:23.681862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.543895Z digest=sha256:f7c0c1d75f558af801b7952e9bce91b776eb1d8051375d763261e5732a2f258d

Observation d5203d08-e501-47fc-9852-48d94f0d983f · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.547421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.547421Z digest=sha256:cf619279022c71963ae4e83d2b5b88656a5f9bef0002bec8d46a9a3512724b80

Observation e39a7522-c89a-4d99-b83c-83b44866625e · outbound

This paper cites Instruction Tuning with GPT-4.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Instruction Tuning with GPT-4

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.550716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.550716Z digest=sha256:519246ec6dd62d407ff99122c104bb9e01ddfc78db166b1482590e443a4efc9b

Observation 5da8eaaa-c364-446e-b092-c2af040c0aa2 · outbound

This paper cites YaRN: Efficient Context Window Extension of Large Language Models.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation YaRN: Efficient Context Window Extension of Large Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.554293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.554293Z digest=sha256:55063c5fdc2667b1ee072a7e313b08c8dae4283f36430e260af70f3c2236efeb

Observation 3f0d0a81-245f-4b0e-9760-deda47764884 · outbound

This paper cites CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-08T13:02:23.796983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.557640Z digest=sha256:99a5f2173261fa7db237507334836d7edc0baa69ee10c602afb06ee4a7a50554

Observation 6c5a2f6c-7adb-483a-af5f-8b301ace2e85 · outbound

This paper cites Smith, and Mike Lewis.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Smith, and Mike Lewis

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:02:24.311860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.561507Z digest=sha256:45ab439b6232b01ad260e7229819c68d3f037c616830eff34bc35e511d707b31

Observation c1cf150d-7f9d-41d6-ad88-a61be539c30e · outbound

This paper cites Rae, Anna Potapenko, Siddhant M.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Rae, Anna Potapenko, Siddhant M

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.564844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.564844Z digest=sha256:9a9973fd8fd10cc114c370f9f4b72810368644f118a16f62cf6fbaa0ae7288f4

Observation 42b0fc53-494e-45d0-93a7-a9a3093eb7f0 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.295097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.567885Z digest=sha256:ab210ece0d5400d06c8ec7c70f6e2ea18aa6311761396b22bf93201adae9928b

Observation d9213b6b-6a9d-49eb-8975-c5f05982ee3a · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.285111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.571932Z digest=sha256:cbb9c40067afcf837ef4944b91ba231d4bf59672f97b6cb1f2dd9088f9572d66

Observation 51a97ca1-6aa6-4cbf-a1de-8d865d7cc7a8 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.274613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.575295Z digest=sha256:9bacbe6fa2d2cf7fd36d850fc8b7c75ea74bcad676a46d4d9ef5e8e2fe6041fd

Observation fe8060f4-14fb-4354-a57e-c86afd1ab445 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.263529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.578623Z digest=sha256:7018c652dcb3f8a351dfcf747a298ea929d3e748cf3e081d0eebb5f4f2d94c09

Observation 81128c66-2f9d-400a-bc27-0a82c8f2095b · outbound

This paper cites Le, Ed H.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Le, Ed H

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T13:02:24.252957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.581694Z digest=sha256:1c79ac7bdfcc607438d8a140b2ce2047be80b6db814fb501b9595947a44c9ffc

Observation b5de5a26-cd92-4219-8983-706b6f7bc8c9 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.242651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.585353Z digest=sha256:813d379c3a07ebe29ffb1c5e429e5be7353f6f6e3456b3690e9a17db16838418

Observation ff2a043b-a84d-45fc-a815-8ecbd3169fc5 · outbound

This paper cites LLMBox: A Comprehensive Library for Large Language Models.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation LLMBox: A Comprehensive Library for Large Language Models

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-08-08T13:02:23.781821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.588790Z digest=sha256:78192bca98eb577df4cc052324902fdaaa3efb244c3c0ec5e3f83310381e8115

Observation e01e48f6-a94f-49db-87f0-a0ca6bb51e23 · outbound

This paper cites Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.592574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.592574Z digest=sha256:66d9cd3dd7e01d6bee1b17d57aef08d36bccfde5201972a010ea3398b47e23c2

Observation f55cf25d-c492-4106-9797-1f353147a7bf · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.231799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.596080Z digest=sha256:d1d2124315cafbe6c6ec8bd0247bb18391f8dde7582fd11271470fc567fdacdc

Observation da0c2b82-5f45-484f-86fe-c7b78cb0c0bf · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.221612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.599702Z digest=sha256:b6c25ee54b9e4a4042b149c2daa1ad47517d7e8c4510c9b83809a535ee718f28

Observation 7b43d43f-a423-4820-b2f8-8c15d67d7175 · outbound

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

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.603108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.603108Z digest=sha256:f9bea27d3bae424e866b6fe72ea8b8418dc0fc18e7ec91ac9ba66b27ef38f9c7

Observation a9239398-fe6d-4163-8302-233a94274688 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.606462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.606462Z digest=sha256:82c3b92516311c4ccaf0d0e67b0d33ee007c7f223476f1efebcc4a6e07996081

Observation 5c2d2108-6022-4c25-83e2-45fb5542a2aa · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.204254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.609891Z digest=sha256:282f2aad5f1eef50134183cf9a959edd314037b2f237ac234b5be0fea73718ff

Observation cb8829fa-ee69-49a3-9b9d-187b9478a110 · outbound

This paper cites Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.613645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.613645Z digest=sha256:cace35196ed0a5c49702088970571d9d7cc44894c5c5ba4e60270dbe37e9b0ed

Observation b89bb756-ca0f-4060-a8b6-327097f02bdd · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.194318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.617291Z digest=sha256:70fb1cbd1f6d9fe8533521cf5091b4b00b7b12311d426487df437cb0f9471883

Observation 0c8805af-1584-4276-9ae2-cf5b9fbdd591 · outbound

This paper cites Continual Learning for Large Language Models: A Survey.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Continual Learning for Large Language Models: A Survey

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.620761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.620761Z digest=sha256:5ef6728adbfa569e5b1d56a87d18b240262564488c8e9982862aa269c622aa3e

Observation 07106f01-726e-4ed1-9b83-3a3a5403e4e1 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Efficient Streaming Language Models with Attention Sinks

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.624877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.624877Z digest=sha256:c6853a31dfb526d545f17cedb8507193fa3a8fea3bbf79f960ef7f9b02390949

Observation 2eb6b51b-caa0-49c1-bce8-b5d1b92a3288 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.183851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.628533Z digest=sha256:ad6cf50521295b12547fab34997896cea783c43c2dd66313efe7e9e23efdbe05

Observation ba6e6528-17c8-45b2-a0b2-8516fca611bb · outbound

This paper cites A Survey on Knowledge Distillation of Large Language Models.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation A Survey on Knowledge Distillation of Large Language Models

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.632502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.632502Z digest=sha256:4b4e2489d501e39529a43b11ebfa2fa782900febb6f156c6a93b982aced1a189

Observation 95b53572-3686-4fb0-8cef-1dce3f78fed6 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.636276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.636276Z digest=sha256:0dc45aeb6df48c3c1ce440ca42d0aaafebba1437c9d36887b374b8f2eb49c738

Observation 5facfe1c-fbc9-40fe-938b-35110551efa7 · outbound

This paper cites Long Context Transfer from Language to Vision.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Long Context Transfer from Language to Vision

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.640079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.640079Z digest=sha256:eb56c61381169d44bf02d94505e23a1089dfdf31e198216056013cbda179e177

Observation 1dccdb8f-b261-4004-86fb-51e4216a416d · outbound

This paper cites A Survey of Large Language Models.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation A Survey of Large Language Models

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.644176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.644176Z digest=sha256:9874418548074e874b61e2bf21e16f59a0c5ad53740f812b686e714d6fe7710e

Observation 937f6976-4d89-4ed4-b575-5e1d60adfdf5 · outbound

This paper cites an unresolved cited work.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-08T13:02:24.174044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-08T13:02:23.647984Z digest=sha256:a3325421b569632fb5dadec24aee58130b6a8f8a291353af2c99028c1ad98ed6

Observation 3a2d0976-941d-4719-81d2-42345d806fa1 · outbound

This paper cites online" 'onlinestring :=.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation online" 'onlinestring :=

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.651908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.651908Z digest=sha256:ad3c663deeed5200b610fdf3e152fec84577155f29feb15945d6cbc4fd98e82e

Observation a004a6cf-140e-4a4a-9bf1-048b389df015 · outbound

This paper cites write newline.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation write newline

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.655720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.655720Z digest=sha256:1f0f814f32e5f044c60a5739a80d57251e68cd2e4bd6f096ebcaeb15ec953cbe

Pith citing papers

Observation 617e6ebe-0213-471a-8ec9-013f266d4bf0 · inbound

Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free cites this paper.

Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:04:34.866219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 07ebc9d4-7339-4b74-a226-d252ce66e331 · inbound

CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability cites this paper.

CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T21:23:45.942773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:23:45.942773Z digest=sha256:9120bdf9331415135316675adaf1d8a1682da978110ed44dfb5570bdc9aad913

Observation fade82b0-368b-4e18-af54-4af488960c82 · inbound

SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization cites this paper.

SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T21:06:21.360895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:06:21.360895Z digest=sha256:6904c6261d3926881ba97ee7999e9635784fe885965feeea2a10df160d426c23

Observation cc3024fc-42c7-4577-b5c5-5b9f8df8e3cd · inbound

Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation cites this paper.

Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T20:50:57.322677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:57.322677Z digest=sha256:cacd99dba7569bdf5b1d96a42ae1dee971aef8091e5b9dc3363050c052203c36

Observation 29e05937-0a56-4a95-a2ec-8d0fcde0e92b · inbound

LinearARD: Linear-Memory Attention Distillation for RoPE Restoration cites this paper.

LinearARD: Linear-Memory Attention Distillation for RoPE Restoration LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T18:36:57.326532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:36:57.326532Z digest=sha256:bf8b7edf692feb3e9fd67ef2454557bfb4a1c6ee3d32ba50358b9c63a821e61d

Observation 6833c9ec-fbf9-4042-a665-b3d60341940a · inbound

When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems cites this paper.

When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:26:37.962236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-25T04:25:26.710488Z digest=sha256:447c688f00c3138752fbc56b8542263ef4ccc21a9e0a44082e971bded6f9a8ff