Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:16:19.822359Z
Paper Citation Record · LEDGER
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement
As of 24 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 5 inbound Pith citation observations for arXiv:2504.16053.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:07:40.860889Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T06:41:16.473267Z
Reference resolution
25 of 25 outbound references displayed
- verified exact0
- verified fuzzy4
- unresolved19
- parse uncertain0
- malformed identifier2
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 526bb6aa-cde5-49fc-abc0-6e846de1db75 · outbound
This paper cites GPT-4 Technical Report.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement GPT-4 Technical Report
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:16:19.694826Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 288e23f2-7ef9-40f5-94fb-100e89821106 · outbound
This paper cites We observe that the last two rows of channels, although they have a receptive field covering all 2,000 tokens in Fig.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement We observe that the last two rows of channels, although they have a receptive field covering all 2,000 tokens in Fig
Reference 5
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-16T11:16:20.363406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 021c7a22-b247-4b44-84f0-21ce7882fa0b · outbound
This paper cites The Zamba2 Suite: Technical Report.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement The Zamba2 Suite: Technical Report
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:16:19.730935Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4146327-3be2-4f98-8eaf-2590d127ce31 · outbound
This paper cites A comprehensive survey on process-oriented automatic text summarization with exploration of llm-based methods.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement A comprehensive survey on process-oriented automatic text summarization with exploration of llm-based methods
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:16:19.742190Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03035e36-5904-421e-9f33-76549f898f5a · outbound
This paper cites Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, and Franc ¸ois Fleuret.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, and Franc ¸ois Fleuret
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:16:20.450107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fa88ec44-6377-4e00-8e02-208ca80d3ada · outbound
This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement Jamba: A Hybrid Transformer-Mamba Language Model
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:16:19.752110Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70365ecb-3888-4f3f-8f6d-22d2f60a6581 · outbound
This paper cites VMamba: Visual State Space Model.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement VMamba: Visual State Space Model
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:16:19.757303Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71177d4b-1e2d-4675-a3c3-c1d345639586 · outbound
This paper cites Erik Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang, Congying Xia, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, et al.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement Erik Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang, Congying Xia, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, et al
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:16:20.433638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7afcf09d-4d24-4abf-9ed5-e0472eed165f · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:16:19.772478Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e61c12ea-8e26-4231-8e17-28310d661e10 · outbound
This paper cites An Empirical Study of Mamba-based Language Models.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement An Empirical Study of Mamba-based Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:16:19.776923Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a21da8d-e79a-4c96-888c-a18f82d1c9a3 · outbound
This paper cites Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:16:19.782228Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95d82fc9-b042-4fd8-8e2d-30c4588cc09e · outbound
This paper cites Falcon Mamba: The First Competitive Attention-free 7B Language Model.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement Falcon Mamba: The First Competitive Attention-free 7B Language Model
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:16:19.788618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4fdf16e4-116a-49c4-a8e4-f77c7fa3900d · outbound
This paper cites an unresolved cited work.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T11:16:20.417314Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 55452d46-dcf5-43cc-b32b-a195afe05521 · outbound
This paper cites an unresolved cited work.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T11:16:20.398371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b847a6cb-5f81-4c16-b0b0-0870e741530d · outbound
This paper cites The channels are sorted by their cumulative decay on the sampled sequence.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement The channels are sorted by their cumulative decay on the sampled sequence
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:16:20.382006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cf021766-c354-4f76-b632-5d900356930e · outbound
This paper cites Model Method 4k 8k 16k 24k 32k 40k A vg.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement Model Method 4k 8k 16k 24k 32k 40k A vg
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T11:16:20.345764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 12ca5645-70eb-43bb-8bde-5f913f46823b · outbound
This paper cites an unresolved cited work.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T11:16:20.327955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7a36ee1d-f805-4305-a81e-c60f3991d45a · outbound
This paper cites Model Method 4k 8k 16k 24k 32k 40k 48k 64k 80k 96k A vg.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement Model Method 4k 8k 16k 24k 32k 40k 48k 64k 80k 96k A vg
Reference 25
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-16T11:16:19.984987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation eaae4b28-9c72-443c-a2a8-ba8ecf97c31f · outbound
This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Reference 2012
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:16:19.724460Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation acd6faff-2466-42e6-8bcb-ef53dc3162cd · outbound
This paper cites Compressive Transformers for Long-Range Sequence Modelling.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement Compressive Transformers for Long-Range Sequence Modelling
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:16:19.767433Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a8824e7-f577-4f62-89c5-822cc4b57b4c · outbound
This paper cites DeciMamba: Exploring the Length Extrapolation Potential of Mamba.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement DeciMamba: Exploring the Length Extrapolation Potential of Mamba
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:16:19.712744Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a4381d4-c535-49b8-aa6b-16ba1ee22d51 · outbound
This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement RULER: What's the Real Context Size of Your Long-Context Language Models?
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:16:19.737215Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1614b5da-c376-4b49-b8bd-8c429387d99d · outbound
This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:16:19.718852Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9ab1208-465f-4941-80cd-ce3b06deaed0 · outbound
This paper cites Longformer: The Long-Document Transformer.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement Longformer: The Long-Document Transformer
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:16:19.707045Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f9e12f9-4d83-4b40-85a6-44573a310f50 · outbound
This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:16:19.701120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation b68bbc81-3d7a-486b-aa51-72c095e77cc8 · inbound
SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers cites this paper.
SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:07:40.860889Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2651c743-3332-4b07-a97c-79635fc44a12 · inbound
TTT3R: 3D Reconstruction as Test-Time Training cites this paper.
TTT3R: 3D Reconstruction as Test-Time Training LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement
Reference 99
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T06:41:16.476187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c94bee6a-1de7-4680-905d-720f5aa6a596 · inbound
Echoes Over Time: Unlocking Length Generalization in Video-to-Audio Generation Models cites this paper.
Echoes Over Time: Unlocking Length Generalization in Video-to-Audio Generation Models LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:56:33.456230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e96f7c04-2722-41a0-844d-48efaf7154bc · inbound
Optimal Decay Spectra for Linear Recurrences cites this paper.
Optimal Decay Spectra for Linear Recurrences LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:01:00.295254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 127c31a5-746b-4876-add1-27c2d2e1c0a8 · inbound
Consistent and Editable: A Balanced Framework for Text-Guided Video Editing cites this paper.
Consistent and Editable: A Balanced Framework for Text-Guided Video Editing LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T09:28:19.511968Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.