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Paper Citation Record · LEDGER

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 40 inbound Pith citation observations for arXiv:2401.01325.

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

pith.paper-citation-record.v1
2401.01325 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 40 of 40 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:45:20.508431Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

13
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 85b966d4-c390-486d-b6dd-32a41f7593e7 · inbound

SnapKV: LLM Knows What You are Looking for Before Generation cites this paper.

SnapKV: LLM Knows What You are Looking for Before Generation LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 20

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arxiv_id, observed 2026-05-13T12:57:43.139624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T12:57:43.036674Z digest=sha256:f243522f9adf7b377b5e2009f37f3a5f09f94c092d5ec959334b233889d9c5ce

Observation 3c7d75be-0412-41eb-afd4-d8bd3b10e583 · inbound

Detecting Multi-Parameter Constraint Inconsistencies in Python Data Science Libraries cites this paper.

Detecting Multi-Parameter Constraint Inconsistencies in Python Data Science Libraries LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 2024

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no resolver link, observed 2026-08-12T18:38:36.368228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:38:36.368228Z digest=sha256:6722bbd1e56ca441bd5de348df9e6dd796c1da22ade6070205dd120cc8dd29ce

Observation 42820e3d-fa68-4a36-b0da-0c62b082f579 · inbound

AIDBench: A benchmark for evaluating the authorship identification capability of large language models cites this paper.

AIDBench: A benchmark for evaluating the authorship identification capability of large language models LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 15

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no resolver link, observed 2026-08-12T16:44:36.702956Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:44:36.702956Z digest=sha256:d8374abe090169a9500bf35478654fbe3671330a6000ec70bccffb9f636ed5ef

Observation 3dd00995-ac22-40df-beff-56ec1570a3e9 · inbound

When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training cites this paper.

When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 27

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no resolver link, observed 2026-08-12T16:30:21.205621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T16:30:21.205621Z digest=sha256:9cc8dcba2666c4610213d9247565bcf2e4d1800082015fa0d30db000aeede860

Observation a143afd2-946b-4c05-9ea9-5e5a2bc6d72a · inbound

Unified Parameter-Efficient Unlearning for LLMs cites this paper.

Unified Parameter-Efficient Unlearning for LLMs LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 37

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no resolver link, observed 2026-08-12T05:31:00.708689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:31:00.708689Z digest=sha256:27413838a642ad155179df32d2f2dba102a56d0ad39991e3e141b28513896958

Observation 096eb456-dca0-43bb-a5b8-6d6c8509eb4c · inbound

Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models cites this paper.

Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 32

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no resolver link, observed 2026-08-11T19:11:06.105944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:11:06.105944Z digest=sha256:51bbf0c00d19b515bdc630c0a78702d03d29839e3c806f983f8468ecdc4cfe53

Observation b6929041-34bb-4d9e-bb5b-c5bb6035176d · inbound

EMS: Adaptive Evict-then-Merge Strategy for Head-wise KV Cache Compression Based on Global-Local Importance cites this paper.

EMS: Adaptive Evict-then-Merge Strategy for Head-wise KV Cache Compression Based on Global-Local Importance LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 20

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no resolver link, observed 2026-08-11T17:51:08.361162Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:51:08.361162Z digest=sha256:4126def3a54864cb22566cafebc389d8c03708912162e8c844ac55fe8a2668ca

Observation d99ba022-6402-48d9-996e-a566aa327cec · inbound

Boosting Long-Context Management via Query-Guided Activation Refilling cites this paper.

Boosting Long-Context Management via Query-Guided Activation Refilling LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 12

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no resolver link, observed 2026-08-11T14:07:30.862414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:07:30.862414Z digest=sha256:b0ad7774c3fc0a434ce48535ff720c84f349ba9f2a7443e53a92024af337a585

Observation 8332ac4e-b4ed-41b2-8baf-9350a7ece750 · inbound

LLMs are Also Effective Embedding Models: An In-depth Overview cites this paper.

LLMs are Also Effective Embedding Models: An In-depth Overview LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 65

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no resolver link, observed 2026-08-11T13:59:01.659968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:59:01.659968Z digest=sha256:07a2288389a11e45cc77e8743aafcffd35fd221e2ce6ee498da84b6fdea63ebc

Observation 161f3337-f504-4bd2-af70-039c6b0191eb · inbound

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning cites this paper.

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 10

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no resolver link, observed 2026-08-11T13:00:31.120892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:00:31.120892Z digest=sha256:d7ff72679df8d3b32f5464d58543018a49d1e8d9a5f5bf087a42266d78cfcbf2

Observation b815db7a-f473-409c-8bd8-65ab2aff5842 · inbound

Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization cites this paper.

Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 2021

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no resolver link, observed 2026-08-11T05:18:54.491009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:18:54.491009Z digest=sha256:5cf0993d0a0f84d4afbb6396f8d7caa00cf78d7a7c8a7a8764586b6ad928539e

Observation ec79479c-5a79-4944-bcc2-4f1f2c572b74 · inbound

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts cites this paper.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 18

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no resolver link, observed 2026-08-10T21:16:23.931122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:16:23.931122Z digest=sha256:fc5cd07eda5f4d2aa50ed1f441b66c48efe9bf6bb68d40147ae2775420e0515b

Observation 80dec9f6-ea40-4cdf-8ac6-951986039e9b · inbound

SEAL: Scaling to Emphasize Attention for Long-Context Retrieval cites this paper.

SEAL: Scaling to Emphasize Attention for Long-Context Retrieval LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 18

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no resolver link, observed 2026-08-10T14:32:50.067073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:32:50.067073Z digest=sha256:ef2bd9b70706180e9f210cc4a4c90bd9dd983fe6ec986a41475e8d89c1d6ccc2

Observation 7eef9a89-f120-4759-a90f-44bfd25c9f46 · inbound

Evaluating an LLM-Powered Chatbot for Cognitive Restructuring: Insights from Mental Health Professionals cites this paper.

Evaluating an LLM-Powered Chatbot for Cognitive Restructuring: Insights from Mental Health Professionals LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 24

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no resolver link, observed 2026-08-10T14:10:40.316716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:10:40.316716Z digest=sha256:93184994cfed4e522f202fe97e68e8465ba579c271d836cb6fe479e3f39eb7e5

Observation 09723710-721f-4279-a6fd-5da1a8faab23 · inbound

Multiple Abstraction Level Retrieve Augment Generation cites this paper.

Multiple Abstraction Level Retrieve Augment Generation LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 31

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no resolver link, observed 2026-08-10T05:33:52.356340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:33:52.356340Z digest=sha256:0f632906299a57560df0934a814921e9933ce55ca5556d8dda13323f59817873

Observation da4f78eb-cffc-4ec6-a652-cec4f6dfadfa · inbound

A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation (GALI) cites this paper.

A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation (GALI) LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 14

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no resolver link, observed 2026-08-09T11:38:33.585104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:38:33.585104Z digest=sha256:8dfbf595d3a8e89d20c9d642c0286e830cd18e1d4ae89a89da219ec2f5c4b776

Observation 41f487af-6a7c-4b7f-ae3b-551170c105eb · inbound

Interactive Data Harmonization with LLM Agents: Opportunities and Challenges cites this paper.

Interactive Data Harmonization with LLM Agents: Opportunities and Challenges LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 32

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no resolver link, observed 2026-08-08T13:45:49.518641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:45:49.518641Z digest=sha256:68070948df6e868f2bcd964f7e2065707c10c0c3319264cbac0bbdafa92a6b30

Observation e1a65e39-c1cb-4dad-8999-f25e73781ad8 · inbound

Mapping the Landscape of Generative AI in Network Monitoring and Management cites this paper.

Mapping the Landscape of Generative AI in Network Monitoring and Management LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 129

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no resolver link, observed 2026-08-08T04:38:57.527042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:38:57.527042Z digest=sha256:774fad5e5e0f43d796f4a480b0a59555845f6d9e20f1186cc3306f19708a5b4c

Observation 5e5821af-de8f-4a27-ba7b-f7971d4cedff · inbound

InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU cites this paper.

InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 14

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no resolver link, observed 2026-08-07T23:19:37.854054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:19:37.854054Z digest=sha256:581144ebc699fb76022cd831d64d64b98f5423b90b6e61cdadc07c0f445e30b6

Observation a7a1de47-a8bd-4c2c-979e-4141b0bc8a4d · inbound

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams cites this paper.

LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 8

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no resolver link, observed 2026-08-16T10:45:20.508431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:45:20.508431Z digest=sha256:826cc4f4267ed42fa96f8837c9bd57f9a3412b9f0a64e85eaf693ce5d9e9b40d

Observation e51ccf67-d9fa-46f0-9d48-07459f7542b8 · inbound

SELF: Self-Extend the Context Length With Logistic Growth Function cites this paper.

SELF: Self-Extend the Context Length With Logistic Growth Function LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 19

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no resolver link, observed 2026-08-07T14:52:13.547977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:52:13.547977Z digest=sha256:0e0ea75e46cbde94bc911d303529b1dcdcfbeaab63ba2d571823ea534a579c00

Observation c48a877f-6c1e-4126-a185-7b6640ca5175 · inbound

Writing Like the Best: Exemplar-Based Expository Text Generation cites this paper.

Writing Like the Best: Exemplar-Based Expository Text Generation LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 23

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no resolver link, observed 2026-08-07T14:30:22.510122Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:30:22.510122Z digest=sha256:cc7f212b405338b6e207cc2166dfc56885d089a44a4138e5d14e831beaf1c8bf

Observation fb754909-6e43-484e-a40d-a28a508b4009 · inbound

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? cites this paper.

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 20

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no resolver link, observed 2026-08-07T14:20:25.146848Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:20:25.146848Z digest=sha256:f015c43e23a3ab1f98b628c0a198c4706b8796991f580d22609c80d9a70add4e

Observation b99aaf02-24d9-4f1b-b6b0-e09e28c5e7ca · inbound

Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models? cites this paper.

Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models? LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 25

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no resolver link, observed 2026-08-07T13:49:22.206955Z

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source=arxiv_source observed=2026-08-07T13:49:22.206955Z digest=sha256:117ef58282c31a539502e998852e1fc14456f2fb341863f4bf1fd80e16b4abbe

Observation 3aaa1e19-c841-4154-b5b3-31e4bfa1e0fa · inbound

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

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 22

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no resolver link, observed 2026-08-07T10:52:06.083804Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:52:06.083804Z digest=sha256:f8aa44a3b9abcf485a884fc7609fd0267b366cd238de3e4e2fef7b16ee19f3cf

Observation b960514f-b1aa-4abf-b6eb-716655140933 · inbound

CommVQ: Commutative Vector Quantization for KV Cache Compression cites this paper.

CommVQ: Commutative Vector Quantization for KV Cache Compression LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 2023

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no resolver link, observed 2026-08-15T18:49:24.092793Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:49:24.092793Z digest=sha256:e1fd45117783af437be06d218a12e992c9cc20a99655626992e92ff6effb9cbd

Observation 22b1455a-424d-45cd-bfa4-d2fce94eb528 · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 68

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verified exact
arxiv_id, observed 2026-05-18T16:41:37.965278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:d88a0122da207b75b5ca05826902be1d4b2d97a3bb263101fe81d8250eafb899

Observation 5e7be47b-2f2f-4bdc-88de-a17f68730c23 · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 69

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metadata mismatch
arxiv_id, observed 2026-05-18T16:41:37.675476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:708c02345e00f544c204472ce394c4eadb2a2ddec24de898576caa0ad5ca8459

Observation 1a99f8af-76ae-4b26-a982-32985e62feed · inbound

Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models cites this paper.

Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 13

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verified exact
arxiv_id, observed 2026-05-11T23:01:15.305529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T02:01:14.533941Z digest=sha256:a10e1148763a92fabdf68829248ec168acc1487d120f80d0572e3568657c0081

Observation 680d0128-9260-4678-af27-3c815c52c0df · inbound

The Impossibility Triangle of Long-Context Modeling cites this paper.

The Impossibility Triangle of Long-Context Modeling LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 15

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arxiv_id, observed 2026-05-11T17:41:09.019712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T17:17:44.033300Z digest=sha256:19796ba2ed22cad766edebd7e4f978989dccd532d4a3322821d9fdba4106dd82

Observation a231f966-117b-4fda-bbe7-fbe645072f48 · inbound

SIGMA-ASL: Sensor-Integrated Multimodal Dataset for Sign Language Recognition cites this paper.

SIGMA-ASL: Sensor-Integrated Multimodal Dataset for Sign Language Recognition LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 38

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arxiv_id, observed 2026-05-11T21:06:11.365522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T07:04:47.169148Z digest=sha256:747e6d1fbb17bf38c0251c487a05fc4dbbd6d6306dfe9744a201590f77794493

Observation 4a3126d1-c010-490d-9d0c-c716b4e278b3 · inbound

Where Does Long-Context Supervision Actually Go? Effective-Context Exposure Balancing cites this paper.

Where Does Long-Context Supervision Actually Go? Effective-Context Exposure Balancing LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 17

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verified exact
arxiv_id, observed 2026-05-12T06:51:29.118043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T03:52:45.320454Z digest=sha256:a048485ffad711e2eb608b4715e7ea1775d01786155a8edf528312762c4603e9

Observation b9d6310a-4171-48b5-9388-6ac68d2cd437 · inbound

Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context cites this paper.

Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 33

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arxiv_id, observed 2026-05-14T19:17:50.247420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-14T19:16:07.851098Z digest=sha256:14aefa8723132b8f0d8367de90fef20000c5a218ba96eb939b71e6e2c48c98b9

Observation 479333bd-4b51-4bde-9a97-037ba4d96439 · inbound

Head Forcing: Long Autoregressive Video Generation via Head Heterogeneity cites this paper.

Head Forcing: Long Autoregressive Video Generation via Head Heterogeneity LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 29

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metadata mismatch
arxiv_id, observed 2026-05-15T02:33:32.132212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T02:31:48.593354Z digest=sha256:5c62141c6f326999a6619c51344cc343997b6d1701d5ccabe59f424f009b7c6a

Observation 0a52fd08-4fb5-476a-81be-3a3ebc287ff2 · inbound

Robo-Blocks: Generative Scaffolding in End-User Design and Programming of Social Robots cites this paper.

Robo-Blocks: Generative Scaffolding in End-User Design and Programming of Social Robots LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 27

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verified exact
arxiv_id, observed 2026-06-29T10:23:17.899755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T10:21:54.687400Z digest=sha256:32bec92f1d7aa402df1d469c29da2eb1cefe3e83524677a28c94ee66d4f607b5

Observation e7472d89-aae9-469c-8741-5b936f78f528 · inbound

UNIVID: Unified Vision-Language Model for Video Moderation cites this paper.

UNIVID: Unified Vision-Language Model for Video Moderation LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:07:09.226456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T22:56:26.674841Z digest=sha256:c7db1d935dddfb7b18d3863e1d88b4acd30e896fd5a92de74df357daf06b0bc0

Observation e109e216-afb0-4995-a29d-66ee04436dee · inbound

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE cites this paper.

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-07-10T20:07:33.551251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T19:59:46.713277Z digest=sha256:f2c79b52e481efc44a7a38ae8176289f5ae00bc9bb9d282c50f2242bf9cf6ed1

Observation 076a2ba4-8765-49d3-b5ba-72f60e9ad89c · inbound

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE cites this paper.

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-13T06:47:09.927626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T06:47:09.927626Z digest=sha256:6d919bbc6b8a5bf53a56cc2b22e97aadf870e7acb2f086c6a409d0c67e981522

Observation 412a660f-2833-4b44-b963-12d1e0076f76 · inbound

Libra: Taming Attention Workload Skew in Long-Context LLM Training with Bounded Sequence Pool cites this paper.

Libra: Taming Attention Workload Skew in Long-Context LLM Training with Bounded Sequence Pool LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T00:03:06.836579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:03:06.836579Z digest=sha256:d8d0477113dde9c61a29b5944b3849e9877dd4c556ea1aeff8b4d0acce2fc9da

Observation c92eafd6-4c55-4cf0-8328-cf53ef28331f · inbound

Learning Dynamic User Personas from Implicit Interaction Streams via Iterative Refinement cites this paper.

Learning Dynamic User Personas from Implicit Interaction Streams via Iterative Refinement LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T15:11:48.273269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:11:48.273269Z digest=sha256:0e30d887dd92092e4498febcdbf1c322dc530e2c8eb4512715ab71dae5c4592b