Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:11:39.748585Z
Paper Citation Record · LEDGER
Core Context Aware Transformers for Long Context Language Modeling
As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2412.12465.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
27 of 27 outbound references displayed
- verified exact0
- verified fuzzy10
- unresolved17
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f7a503cc-f96d-407b-9d26-69efd1364aca · outbound
This paper cites Same as demonstrated in existing methods (Beltagy et al., 2020; Xiao et al., 2024b).
Core Context Aware Transformers for Long Context Language Modeling Same as demonstrated in existing methods (Beltagy et al., 2020; Xiao et al., 2024b)
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:11:40.105767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b396aef2-ebad-4247-940c-1fdd7b936e8a · outbound
This paper cites Extending Context Window of Large Language Models via Positional Interpolation.
Core Context Aware Transformers for Long Context Language Modeling Extending Context Window of Large Language Models via Positional Interpolation
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:39.602020Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6846c3a-590f-4ab2-be44-6dd2f6cead4c · outbound
This paper cites Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers.
Core Context Aware Transformers for Long Context Language Modeling Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:39.611527Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d528daf-9b2b-4e23-8339-e90b4599b224 · outbound
This paper cites LongNet: Scaling Transformers to 1,000,000,000 Tokens.
Core Context Aware Transformers for Long Context Language Modeling LongNet: Scaling Transformers to 1,000,000,000 Tokens
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:39.616699Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f06184fe-5287-4e72-8eca-abde9a2d60e2 · outbound
This paper cites Data Engineering for Scaling Language Models to 128K Context.
Core Context Aware Transformers for Long Context Language Modeling Data Engineering for Scaling Language Models to 128K Context
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:39.622030Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5aa06aaf-5711-4cca-85b1-fdfbe526fe3f · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Core Context Aware Transformers for Long Context Language Modeling DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:39.626849Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64ff5deb-44bb-45a3-beb8-45b7e5b24b31 · outbound
This paper cites s 256 512 1024 2048 4096 PPL ↓ 2.98 2.92 2.86 2.79 2.73 Latency ↓ (ms) 457.4 460.1 461.4 462.8 473.1 Effect of Different Updating Strategies.
Core Context Aware Transformers for Long Context Language Modeling s 256 512 1024 2048 4096 PPL ↓ 2.98 2.92 2.86 2.79 2.73 Latency ↓ (ms) 457.4 460.1 461.4 462.8 473.1 Effect of Different Updating Strategies
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:11:40.070137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c2fed794-ad54-46dc-85a7-6ccf3308cfd2 · outbound
This paper cites an unresolved cited work.
Core Context Aware Transformers for Long Context Language Modeling Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T14:11:40.248786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1601e86a-3514-4c59-8df0-9c6a8056f98f · outbound
This paper cites GPT-4 Technical Report.
Core Context Aware Transformers for Long Context Language Modeling GPT-4 Technical Report
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:39.654390Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ff27d7e-ce5e-4b83-9e6b-e3a11d3f3680 · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
Core Context Aware Transformers for Long Context Language Modeling LLaMA: Open and Efficient Foundation Language Models
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:39.668374Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3935e5ac-b689-4170-93a0-c63a56593019 · outbound
This paper cites Qwen2.5 Technical Report.
Core Context Aware Transformers for Long Context Language Modeling Qwen2.5 Technical Report
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:39.673740Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a55eb01a-948a-456f-8c96-6ffa2b6848ba · outbound
This paper cites The MMLU benchmark spans 57 diverse subjects, ranging from elementary mathematics to professional law.
Core Context Aware Transformers for Long Context Language Modeling The MMLU benchmark spans 57 diverse subjects, ranging from elementary mathematics to professional law
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:11:40.232662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d37893a3-37fc-46b9-acb0-76cc17b11a98 · outbound
This paper cites base frequency.
Core Context Aware Transformers for Long Context Language Modeling base frequency
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:11:40.216143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 064f819b-70ea-4a43-9ac2-460d48dc0ec2 · outbound
This paper cites This enables us to integrate our CCA-Attention as a standalone, cache-friendly operator, effectively eliminating redundant computations.
Core Context Aware Transformers for Long Context Language Modeling This enables us to integrate our CCA-Attention as a standalone, cache-friendly operator, effectively eliminating redundant computations
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:11:40.198829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3518ab91-f9e6-4a8b-9662-049c403156cb · outbound
This paper cites Our experiments are based on the LLaMA-2 7B model fine-tuned on sequences of length 32K and 80K (Fu et al., 2024).
Core Context Aware Transformers for Long Context Language Modeling Our experiments are based on the LLaMA-2 7B model fine-tuned on sequences of length 32K and 80K (Fu et al., 2024)
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:11:40.173335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation da97c928-c70e-4f82-b2f3-acba2bf192c7 · outbound
This paper cites 16 Core Context Aware Transformers for Long Context Language Modeling C.
Core Context Aware Transformers for Long Context Language Modeling 16 Core Context Aware Transformers for Long Context Language Modeling C
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:11:40.138276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f413f8ae-88d1-4e42-88b5-ddf611e7213e · outbound
This paper cites an unresolved cited work.
Core Context Aware Transformers for Long Context Language Modeling Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T14:11:40.122478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f7b4178f-21bc-4802-9862-1a136bc3393e · outbound
This paper cites Strategy Mean Pooling Max Pooling CCA-Attention (Ours) PPL ↓ 2.99 2.99 2.85 Effect of Group Size g.
Core Context Aware Transformers for Long Context Language Modeling Strategy Mean Pooling Max Pooling CCA-Attention (Ours) PPL ↓ 2.99 2.99 2.85 Effect of Group Size g
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:11:40.087172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ed662da6-82bc-4bd2-8177-f90118a375c6 · outbound
This paper cites The perplexity rapidly converges within approximately the first 100 iterations and remains stable over 1,000 iterations.
Core Context Aware Transformers for Long Context Language Modeling The perplexity rapidly converges within approximately the first 100 iterations and remains stable over 1,000 iterations
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:11:40.051901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0e2e3f84-3068-4f03-9a30-9a7649d6668a · outbound
This paper cites an unresolved cited work.
Core Context Aware Transformers for Long Context Language Modeling Unresolved cited work
Reference 2000
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T14:11:40.152196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 23c79c42-8f28-4294-b24e-edb9a870f05a · outbound
This paper cites DeepSeek-V3 Technical Report.
Core Context Aware Transformers for Long Context Language Modeling DeepSeek-V3 Technical Report
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:39.644086Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c43a855a-abd8-40e3-a063-3ab388aad145 · outbound
This paper cites Retentive Network: A Successor to Transformer for Large Language Models.
Core Context Aware Transformers for Long Context Language Modeling Retentive Network: A Successor to Transformer for Large Language Models
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:39.663274Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 970488b0-c9e3-4845-b982-5811d154f108 · outbound
This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.
Core Context Aware Transformers for Long Context Language Modeling RULER: What's the Real Context Size of Your Long-Context Language Models?
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:39.638818Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c96ee85-bc28-43e9-b57d-72b3dbe75c84 · outbound
This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.
Core Context Aware Transformers for Long Context Language Modeling LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:39.585247Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e5a5456-13cc-4b3b-a090-19c543b30e14 · outbound
This paper cites Longformer: The Long-Document Transformer.
Core Context Aware Transformers for Long Context Language Modeling Longformer: The Long-Document Transformer
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:39.590791Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 780698b2-f707-4bcb-a74d-c9aeed4745fe · outbound
This paper cites Chang, Y ., Wang, X., Wang, J., Wu, Y ., Yang, L., Zhu, K., Chen, H., Yi, X., Wang, C., Wang, Y ., Ye, W., Zhang, Y ., Chang, Y ., Yu, P.
Core Context Aware Transformers for Long Context Language Modeling Chang, Y ., Wang, X., Wang, J., Wu, Y ., Yang, L., Zhu, K., Chen, H., Yi, X., Wang, C., Wang, Y ., Ye, W., Zhang, Y ., Chang, Y ., Yu, P
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T14:11:40.270750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 81609661-bbeb-4667-b9fa-27153bd0abb3 · outbound
This paper cites LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models.
Core Context Aware Transformers for Long Context Language Modeling LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:11:39.633204Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.