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Paper Citation Record · LEDGER

Training-Free Long-Context Scaling of Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2402.17463.

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

pith.paper-citation-record.v1
2402.17463 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:38:33.434117Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T20:07:33.544111Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8374dea5-e0e9-4881-80cd-761dfde43543 · inbound

Qwen2.5 Technical Report cites this paper.

Qwen2.5 Technical Report Training-Free Long-Context Scaling of Large Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:25:27.769784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T06:25:00.376073Z digest=sha256:fb5c87384a2402302caa3f16742ba4aafb597c2483de825c2c723e765d7af3f1

Observation 7560798f-5b87-4622-b7d4-45885d797702 · inbound

Qwen2.5-1M Technical Report cites this paper.

Qwen2.5-1M Technical Report Training-Free Long-Context Scaling of Large Language Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:26:00.053816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T05:25:59.964619Z digest=sha256:da5b0ac497438819311e4e72be9f66c2954cd365d3cda97741d967123d179581

Observation 3cd6b469-9039-4314-b630-1073a69707fd · 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) Training-Free Long-Context Scaling of Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T11:38:33.434117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:38:33.434117Z digest=sha256:aa7a63b921973e971bfc4ff53e99a78355d8c9918ab6b89838fc4c9fe4614390

Observation 5560fb24-2758-484d-b191-16663ffb6136 · inbound

Qwen3 Technical Report cites this paper.

Qwen3 Technical Report Training-Free Long-Context Scaling of Large Language Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:35:28.411146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T06:35:27.813995Z digest=sha256:76c3d2d578ff062024334aabd8d951b2c4d1aa05a26dcfbb4b5981636543ebaa

Observation 1598c49e-1a7c-4da0-8fb7-66aa8439660a · inbound

Training Long-Context LLMs Efficiently via Chunk-wise Optimization cites this paper.

Training Long-Context LLMs Efficiently via Chunk-wise Optimization Training-Free Long-Context Scaling of Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:27.855551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:27.855551Z digest=sha256:9948e33d30907d37a658602cd681b973745b420f57f31b3638003f50f19ee1b1

Observation 02a18c03-ea77-457a-8ae5-8f90b1fd9fed · inbound

Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models cites this paper.

Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models Training-Free Long-Context Scaling of Large Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:40.190364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:03:40.190364Z digest=sha256:4f8751da6cdf3e08df215d6d043bbb2017eea01e388fd31bc86e0551f6d3bd89

Observation f5ce39cf-8e98-4a5e-b1f5-6461627cf414 · inbound

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

SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models Training-Free Long-Context Scaling of Large Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T10:52:05.990147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:52:05.990147Z digest=sha256:3b6e372dfc7b6fe7a64a872eeb9aded5f84acd77b0c2370632588b336f72f1b0

Observation 28927585-e704-495a-b6d5-f708df664a79 · inbound

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent cites this paper.

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent Training-Free Long-Context Scaling of Large Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:17:24.549747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T11:17:24.406028Z digest=sha256:41d5e4c8f3e203bd9d274d67b5aae9c23aafd5c7d411ce3b31cec7fea5b77345

Observation b4f50ef2-38a1-40e2-95c2-b05ceef9899b · inbound

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent cites this paper.

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent Training-Free Long-Context Scaling of Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:09.695800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:09.695800Z digest=sha256:2236d0f7bbfa958dcb44f39bdc53f5e2c1a3c86a5463236f48d6c007505e4ea9

Observation d071a68f-2b93-45db-8039-30194ed9fe5c · inbound

AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications cites this paper.

AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications Training-Free Long-Context Scaling of Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T17:26:28.777829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:26:28.777829Z digest=sha256:16552bcad1554dae311d3304bb4d9afcf8edf9887e29ced4e525a197580fb5f2

Observation 248eac42-1341-4ede-a3a4-a4f35232ff30 · inbound

Multi-Model Synthetic Training for Mission-Critical Small Language Models cites this paper.

Multi-Model Synthetic Training for Mission-Critical Small Language Models Training-Free Long-Context Scaling of Large Language Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-18T15:51:34.952158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T15:47:00.455107Z digest=sha256:6d93c7756cf5c1d1649feb07800ccd6820e044705aec76371e003eb6b2b9aa78

Observation d9f44861-aeec-4f51-9daf-ad8c48b58b5d · inbound

HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling cites this paper.

HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling Training-Free Long-Context Scaling of Large Language Models

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:00:21.340687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T21:58:30.784843Z digest=sha256:df546320908acf052fa1adcb7bf36e7db529cf947b212ec072a0a07af6ae6ef0

Observation 5e8af451-1033-4046-bc52-c59b60b600a4 · inbound

ArgBench: Benchmarking LLMs on Computational Argumentation Tasks cites this paper.

ArgBench: Benchmarking LLMs on Computational Argumentation Tasks Training-Free Long-Context Scaling of Large Language Models

Reference 91

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:16:20.704161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T06:15:49.743367Z digest=sha256:3962959dcb205edc0e827c026c168c8a71211f6df002aba97bb481281673fe5e

Observation ec5217cb-297d-4568-858b-31a1438bbd35 · inbound

A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints cites this paper.

A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints Training-Free Long-Context Scaling of Large Language Models

Reference 118

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:31:09.016679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T17:28:05.492863Z digest=sha256:65526c23baa2229a4d2f1a81ade7c1744673fccce34580dcd560584a1ece1dc0

Observation d9c0883e-8b86-4d31-b842-994b0ea7a0e9 · inbound

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

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE Training-Free Long-Context Scaling of Large Language Models

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-07-10T20:07:33.545521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T19:59:46.713277Z digest=sha256:3612e5547f0ff417560f256f4df269985d314f8f08baedc370c7db756c184d06

Observation 5416ba3e-8f89-485c-8a9d-1890e2167d2f · inbound

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

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE Training-Free Long-Context Scaling of Large Language Models

Reference 3

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=sha256:2ebd922b5655e53c77ffeb6b6abc939e8dacbfa2a23d7da609ff59fbe828bbc1