Paper Citation Record · LEDGER

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?

As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 14 inbound Pith citation observations for arXiv:2502.05252.

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

pith.paper-citation-record.v1
2502.05252 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:25:16.984092Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:41.438347Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:19:23.876486Z

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy5
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c4bb915a-8c43-4bb3-93a5-c825f3db962c · outbound

This paper cites @esa (Ref.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? @esa (Ref

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.740385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ee7e233-7850-4e89-815c-7d80b9ef8b8d · outbound

This paper cites an unresolved cited work.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.747628Z

Source-reported events for the cited work

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Observation 23794d80-f9ca-4366-8a56-22813ae5adce · outbound

This paper cites MagicPIG: LSH Sampling for Efficient LLM Generation.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? MagicPIG: LSH Sampling for Efficient LLM Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.753303Z

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Observation 767b9b18-8209-4b7e-b845-7ff8bba35e4a · outbound

This paper cites write newline.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? write newline

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.761081Z

Source-reported events for the cited work

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Observation 70001e99-033b-4608-9428-9cf998ad5983 · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.766880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e456d5dd-cf02-4266-848d-c477b5ed4276 · outbound

This paper cites LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.772448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37095ade-0bf5-4673-941a-15fc4536eb9f · outbound

This paper cites Longformer: The Long-Document Transformer.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Longformer: The Long-Document Transformer

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.777759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af607390-b8c6-49c2-94ef-527c11dcf5ae · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.788920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2816ea9e-b8a9-4e7c-a8bb-2b4aed73cd54 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Training Verifiers to Solve Math Word Problems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.800528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deb7c6a1-35a5-4fd0-98f0-f325b302d22c · outbound

This paper cites Flash A ttention-2: Faster attention with better parallelism and work partitioning.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Flash A ttention-2: Faster attention with better parallelism and work partitioning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.805549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f22df550-9487-4c3f-96d5-4cc61017e205 · outbound

This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher R \'e.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Fu, Stefano Ermon, Atri Rudra, and Christopher R \'e

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:25:17.682833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fd4ba3bb-527f-403a-9c2e-188f9529c300 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.815476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc7a17b9-e075-4884-95d5-0a71615f0d35 · outbound

This paper cites Neural Networks and the Chomsky Hierarchy.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Neural Networks and the Chomsky Hierarchy

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.820859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2fa464d-b6be-449f-96e3-ecf758f6a627 · outbound

This paper cites The Llama 3 Herd of Models.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? The Llama 3 Herd of Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.826047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 911d184e-580f-41f9-9fee-f9ec652b0794 · outbound

This paper cites Needle in a haystack - pressure testing llms, 2023.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Needle in a haystack - pressure testing llms, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:25:17.664012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f57ef75e-9fff-47cb-91c9-5ab88eb228c1 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Measuring Mathematical Problem Solving With the MATH Dataset

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.837781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a8d70f9-c571-4ef6-9661-5c72e8cb49e8 · outbound

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

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.848492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b667d32-78fd-4e74-990b-52721a025d7e · outbound

This paper cites Mistral 7B.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Mistral 7B

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.853620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cb60de0-520f-42c2-91d2-faa9b7e76904 · outbound

This paper cites Active Retrieval Augmented Generation.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Active Retrieval Augmented Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.859507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa549915-4c4e-4630-b053-f062f4cad42d · outbound

This paper cites Needle in a haystack - pressure testing llms, 2023.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Needle in a haystack - pressure testing llms, 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:25:17.645657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 190ef306-8a5d-4f36-ba38-65563c3d4242 · outbound

This paper cites BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.869442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb849715-65bf-4fe6-9e3c-4df0bb4bb99e · outbound

This paper cites Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.874664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5b394f4-c6a7-4a30-8bc6-ee4cdde6c0cb · outbound

This paper cites Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.880139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a7a3af3-51a2-46c5-bbf0-96150d6fcedc · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.885207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 937d0ff0-3e26-4cde-aab8-2b32467d4ba9 · outbound

This paper cites Long Context vs. RAG for LLMs: An Evaluation and Revisits.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Long Context vs. RAG for LLMs: An Evaluation and Revisits

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.890221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f5691aa-e510-4aca-a989-4e9e6de23538 · outbound

This paper cites Retrieval augmented generation or long-context llms? a comprehensive study and hybrid approach.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Retrieval augmented generation or long-context llms? a comprehensive study and hybrid approach

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:25:17.627462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4520cab5-8190-40ec-9c3b-db670fd2140e · outbound

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

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Ring Attention with Blockwise Transformers for Near-Infinite Context

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.900015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1292359e-02cf-47e3-826f-2e24f6be073d · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Lost in the Middle: How Language Models Use Long Contexts

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.905007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da20d73c-593a-4b08-8a0b-38a07b2b10af · outbound

This paper cites DafnyBench: A Benchmark for Formal Software Verification.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? DafnyBench: A Benchmark for Formal Software Verification

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.910497Z

Source-reported events for the cited work

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Observation e4214ef1-4b51-46d3-9c0c-f24b46781a31 · outbound

This paper cites MiniMax-01: Scaling Foundation Models with Lightning Attention.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? MiniMax-01: Scaling Foundation Models with Lightning Attention

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.916090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34d51ff1-5307-4ae5-b21c-113fca06d93d · outbound

This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.922469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9947327d-b5e3-4c06-8b34-13b21beb5bf3 · outbound

This paper cites Qwen2.5 Technical Report.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Qwen2.5 Technical Report

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.928032Z

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Observation 516599cc-a18b-4080-ae52-665b23f30ef4 · outbound

This paper cites Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.933498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 208e2cbb-bcb8-44c1-bc73-2e1eead2fe66 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.939267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f2b01ab-d196-479a-b1a9-a493a486b12d · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.944984Z

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Unavailable: canonical work link unavailable.

Observation 82a51e3a-6c9a-418c-8cad-62795881d5b4 · outbound

This paper cites Jamba-1.5: Hybrid Transformer-Mamba Models at Scale.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Jamba-1.5: Hybrid Transformer-Mamba Models at Scale

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.951317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee703469-e33e-4977-bfe5-8e082c6167ae · outbound

This paper cites Modular elliptic curves and fermat's last theorem.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Modular elliptic curves and fermat's last theorem

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:25:17.607210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f8675a3e-e296-438c-86b1-91e4ee6e5ac3 · outbound

This paper cites Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.962705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 542152b1-4ed4-4c88-b19c-2b68971428c2 · outbound

This paper cites Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.968703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87b9c447-6dd1-4c54-ac8d-e1a7496cf3d4 · outbound

This paper cites In Defense of RAG in the Era of Long-Context Language Models.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? In Defense of RAG in the Era of Long-Context Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.979011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4e73476-9160-44b4-97d4-1b5ad729b0da · outbound

This paper cites $\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? $\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.984092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation bfdbaa7f-bb57-45e9-a4bb-78d238f20d31 · inbound

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings cites this paper.

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:41.438347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2448123f-d8e5-4f46-ada2-a791e302adcd · inbound

LongReasonArena: A Long Reasoning Benchmark for Large Language Models cites this paper.

LongReasonArena: A Long Reasoning Benchmark for Large Language Models GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T15:51:32.176410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c9a0ee7-7f47-4758-bf05-0b9669aa0dc6 · inbound

vAttention: Verified Sparse Attention cites this paper.

vAttention: Verified Sparse Attention GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T11:21:10.093674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35219edd-3f3e-48a5-8495-413cc13ba9d3 · inbound

MiMo-V2-Flash Technical Report cites this paper.

MiMo-V2-Flash Technical Report GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-12T11:33:32.819008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 513603ef-f1ea-4074-be2c-07e15eadb755 · inbound

Factored Causal Representation Learning for Robust Reward Modeling in RLHF cites this paper.

Factored Causal Representation Learning for Robust Reward Modeling in RLHF GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:20:13.602502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0ab7533e-c155-4bc4-91d7-dcefc186051d · inbound

From Local Corrections to Generalized Skills: Improving Neuro-Symbolic Policies with MEMO cites this paper.

From Local Corrections to Generalized Skills: Improving Neuro-Symbolic Policies with MEMO GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-15T15:10:27.013215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c81149b1-e343-401f-9449-19308cc205c0 · inbound

LEAD: Breaking the No-Recovery Bottleneck in Long-Horizon Reasoning cites this paper.

LEAD: Breaking the No-Recovery Bottleneck in Long-Horizon Reasoning GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:35:55.740864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 74e4b96d-0ca5-4a0e-acd1-7008e2a33d6b · inbound

The Power of Power Law: Asymmetry Enables Compositional Reasoning cites this paper.

The Power of Power Law: Asymmetry Enables Compositional Reasoning GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:31:08.190972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1d00e09b-b71d-4e6e-8d9b-49d4d7b10ae9 · inbound

The Power of Power Law: Asymmetry Enables Compositional Reasoning cites this paper.

The Power of Power Law: Asymmetry Enables Compositional Reasoning GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?

Reference 66

Resolution: unresolved; no resolver link, observed 2026-07-12T18:26:05.728364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb9b8bf6-909d-405b-aa7d-9a7e2cb7a8e6 · inbound

Bridging Structure and Language: Graph-Based Visual Reasoning for Autonomous Road Understanding cites this paper.

Bridging Structure and Language: Graph-Based Visual Reasoning for Autonomous Road Understanding GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:29:39.770407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6a15e411-70c4-41e4-aa92-dc30f06307ed · inbound

ATLAS: All-round Testing of Long-context Abilities across Scales cites this paper.

ATLAS: All-round Testing of Long-context Abilities across Scales GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:33:27.979086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ff892fdb-d0b3-4522-8990-5e2477da3a48 · inbound

StaminaBench: Stress-Testing Coding Agents over 100 Interaction Turns cites this paper.

StaminaBench: Stress-Testing Coding Agents over 100 Interaction Turns GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:19:23.878014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 09806160-cf7e-4d87-899c-67888cbaa6d6 · inbound

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning cites this paper.

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T12:46:04.371774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a8dba01-3ae5-4436-b557-10af259cd432 · inbound

Copy Less, Ground More: Overcoming Repetitive Copying in Long-Context Reasoning via Evidence-Aware Reinforcement Learning cites this paper.

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T01:57:53.900522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.