Paper Citation Record · LEDGER

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning

As of 6 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 3 inbound Pith citation observations for arXiv:2605.09931.

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

pith.paper-citation-record.v1
2605.09931 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T04:42:49.165066Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:21:29.206239Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-20T21:43:45.421089Z

Reference resolution

47 of 47 outbound references displayed

verified exact5
verified fuzzy17
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch24

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d72c8540-90b0-4015-afbf-7612f735a372 · outbound

This paper cites OpenAI o1 System Card.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning OpenAI o1 System Card

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T06:01:23.106347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4c46686e-3ea0-4f38-8b60-3985dce06197 · outbound

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

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T06:01:23.315210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6ebaf96b-4377-47a2-b0a3-99b205923540 · outbound

This paper cites Qwen3 Technical Report.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Qwen3 Technical Report

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T06:01:23.090350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 46ba49a1-aec3-4b32-b144-7057780cb205 · outbound

This paper cites Advances in neural information processing systems , volume=.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Advances in neural information processing systems , volume=

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:51:36.211805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cb2cf30c-026e-439c-8869-824b46aeeca2 · outbound

This paper cites Cohen , title =.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Cohen , title =

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:51:36.187107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 41aaff56-4687-40dc-9a9e-102f8726427e · outbound

This paper cites The Twelfth International Conference on Learning Representations.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning The Twelfth International Conference on Learning Representations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:51:36.216448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d09ea148-ab9c-4da2-90d4-a7d385dafce4 · outbound

This paper cites ReTool: Reinforcement Learning for Strategic Tool Use in LLMs.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T18:42:39.160125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9d4d5088-c4de-415a-ad62-03537cf6979a · outbound

This paper cites 2025 , publisher=.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning 2025 , publisher=

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:51:36.182682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 958d0edf-c2fd-472e-9fbd-a8dd5b750a24 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:01:23.074778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 06ced6ef-d789-46d0-be7a-5305fe97741a · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:51:36.207598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4d594c31-27a9-4ce4-b605-eb1abba6e8c6 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Gemini: A Family of Highly Capable Multimodal Models

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T06:01:23.290933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1cf89721-d2d5-41a0-8fa6-44803c6a84bc · outbound

This paper cites Qwen2.5 Technical Report.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Qwen2.5 Technical Report

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T05:16:23.348861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 28ab9447-785b-46fa-97ed-9672c7236a75 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T06:01:23.325347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ccb9d2b3-49e0-408d-b934-013593f9e7b2 · outbound

This paper cites an unresolved cited work.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-05-12T13:46:37.870179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aa3bf42c-78ca-41f0-9cbd-45bb14cbf552 · outbound

This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T16:48:28.215201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f1dc8f44-a70e-4694-ac13-98d86f6240c9 · outbound

This paper cites International Conference on Machine Learning , pages=.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning International Conference on Machine Learning , pages=

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:51:36.228052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3fc05379-ee4c-4157-ac4b-e044570243c0 · outbound

This paper cites Understanding Tool-Integrated Reasoning.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Understanding Tool-Integrated Reasoning

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:01:23.245341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 95446cf5-5ea5-459e-88eb-c58c5d29f4bd · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T06:01:23.128368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3a2fec6c-d49a-402e-9bca-7501296e50d7 · outbound

This paper cites R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T18:37:17.866238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ff846a0a-accf-4c34-98c0-a4e26a923402 · outbound

This paper cites MARIO: MAth Reasoning with code Interpreter Output -- A Reproducible Pipeline.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning MARIO: MAth Reasoning with code Interpreter Output -- A Reproducible Pipeline

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:01:23.158560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7dcfec64-278d-422e-bfb6-79d4cc0a318f · outbound

This paper cites The eleventh international conference on learning representations , year=.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning The eleventh international conference on learning representations , year=

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:46:37.866195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 55c9117d-608e-47a7-aad8-c19b350abc07 · outbound

This paper cites Chain of Code: Reasoning with a Language Model-Augmented Code Emulator.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Chain of Code: Reasoning with a Language Model-Augmented Code Emulator

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:01:23.367910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 48bf91b3-728a-4895-9a71-64e9649d1e6c · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:46:37.862561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0a56d90e-1c7f-4c11-82e7-1eff51911baa · outbound

This paper cites The Twelfth International Conference on Learning Representations.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning The Twelfth International Conference on Learning Representations

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:51:36.192183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fcb575c1-bbbd-4a6c-a392-3e18de6b71d9 · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:51:36.203334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f0fc73fe-589c-4480-bc99-517de134e073 · outbound

This paper cites DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:01:23.302907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2cc4fa4a-1405-4e94-8402-4e276711069b · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , pages=.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Findings of the Association for Computational Linguistics: ACL 2025 , pages=

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:51:36.220911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 600cbb65-fac5-48fe-b06e-d8a054434f10 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Advances in Neural Information Processing Systems , volume=

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:51:36.169450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation deb6548f-7b70-4c7d-94d1-dba84e7c51ce · outbound

This paper cites SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:01:23.336361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4c808a61-188d-4e55-9e86-c5dd66b4d398 · outbound

This paper cites Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:01:23.195048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8d5585b9-95a3-409d-81b0-3bb2dd92a7b2 · outbound

This paper cites ToRL: Scaling Tool-Integrated RL.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning ToRL: Scaling Tool-Integrated RL

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:23.221704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2154c720-8d36-4496-9cab-3c05b7e3268e · outbound

This paper cites Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:01:23.278748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1e489a03-609c-4935-83a0-512467e73968 · outbound

This paper cites arXiv e-prints , pages=.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning arXiv e-prints , pages=

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:51:36.224643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3f9b8a8d-3886-420f-a352-b315df097368 · outbound

This paper cites arXiv preprint arXiv:2509.23285 , year=.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning arXiv preprint arXiv:2509.23285 , year=

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:23.307458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0c6e314d-998a-4950-a33d-22b44eefdafd · outbound

This paper cites Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T02:58:56.460093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0d783571-68d3-4299-9211-dc85fcdaeecb · outbound

This paper cites ToolRL: Reward is All Tool Learning Needs.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning ToolRL: Reward is All Tool Learning Needs

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T00:26:48.594660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b060d2c6-13a5-4cd6-811a-507613b87f92 · outbound

This paper cites Agent0: Unleashing self-evolving agents from zero data via tool-integrated reasoning.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Agent0: Unleashing self-evolving agents from zero data via tool-integrated reasoning

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:01:23.274685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3c1f0ba1-d000-4000-b467-71055a3ddf37 · outbound

This paper cites Towards Effective Code-Integrated Reasoning.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Towards Effective Code-Integrated Reasoning

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:23.355603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b20feab6-e2d7-4b01-a973-6b718a5a86f2 · outbound

This paper cites arXiv preprint arXiv:2510.11184 , year=.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning arXiv preprint arXiv:2510.11184 , year=

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:23.283155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6e29e227-7d4b-4b70-bf5f-5f7909f88ea4 · outbound

This paper cites An Empirical Study on Eliciting and Improving R1-like Reasoning Models.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:01:23.360130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 66d3f7a6-51af-45fd-bb7a-8a97dfe6e6bd · outbound

This paper cites Scaling long-horizon llm agent via context-folding.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Scaling long-horizon llm agent via context-folding

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:01:23.401335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d7fedd20-afc8-4526-b387-12ac06d3cc25 · outbound

This paper cites Agentfold: Long-horizon web agents with proactive context management.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Agentfold: Long-horizon web agents with proactive context management

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:01:23.116991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9615267f-f566-4b44-bd7e-27ed25240d81 · outbound

This paper cites Hugging Face repository , howpublished =.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Hugging Face repository , howpublished =

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:51:36.177899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3dc969d0-39e0-4b2b-b335-2aa814fbbc11 · outbound

This paper cites Le and Ed H.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Le and Ed H

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:46:37.859461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d8d1a923-2884-49c0-af01-ddb90d3e49bf · outbound

This paper cites Measuring Mathematical Problem Solving With the.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Measuring Mathematical Problem Solving With the

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:46:37.856484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 11fca386-4231-4a4a-a49c-215e0bc65d86 · outbound

This paper cites First conference on language modeling , year=.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning First conference on language modeling , year=

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T13:51:36.198773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 39c0bc15-0aa4-4df5-bacd-f7d408358e8a · outbound

This paper cites Adhint: Adaptive hints with difficulty priors for reinforcement learning.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning Adhint: Adaptive hints with difficulty priors for reinforcement learning

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:01:23.383821Z

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Pith citing papers

Observation f69fddba-4d8b-4376-9308-adc707a0a74d · inbound

Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective cites this paper.

Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:22:54.769648Z

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Observation 02e11cb1-424b-4c2b-a7aa-cb69a87dfe80 · inbound

Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective cites this paper.

Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-20T21:43:45.422889Z

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Observation e68b3e63-aed5-429f-bbe9-be6658f96700 · inbound

HarnessCompass: Guiding Automatic Harness Evolution toward Generalizable and Effective Agent Harnesses cites this paper.

HarnessCompass: Guiding Automatic Harness Evolution toward Generalizable and Effective Agent Harnesses PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T18:21:29.206239Z

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