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Paper Citation Record · LEDGER

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs

As of 8 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2606.09371.

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

pith.paper-citation-record.v1
2606.09371 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T16:43:00.259139Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch13

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 908b2315-b106-4f84-b0d7-3c27aea16730 · outbound

This paper cites , author=.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs , author=

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:e4981322950a74a969c622cf87ba29bda7d585804f95a17b0fb64f4e59b1a77e

Observation c586688d-d8f9-42c7-82fc-7e25a081b2e9 · outbound

This paper cites Frontiers of Computer Science , volume=.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Frontiers of Computer Science , volume=

Reference 2

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Source-reported events for the cited work

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source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:6b3772724c1e6dd7e878dc2fd17a544b060875622e2bb1c0900b86461ec4e844

Observation 6bd1dd45-0ef4-4e14-a66d-38d3a5b65230 · outbound

This paper cites Proceedings of the 34th ACM International Conference on Information and Knowledge Management , pages=.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Proceedings of the 34th ACM International Conference on Information and Knowledge Management , pages=

Reference 3

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source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:05acff444646b53a89b221b58fd1ef55c2961c8091bbaf7e415b05c01418058c

Observation c890dbe5-6cb7-4848-a8e1-ea907d3f3b55 · outbound

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

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Advances in Neural Information Processing Systems , volume=

Reference 4

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no resolver link, observed 2026-06-27T16:43:00.259139Z

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source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:09793a9f8c3c98e39c2a3e36aa9fe0bacdad011a3b075d194f02b7df370b4444

Observation 3a657321-84e5-42fc-82e2-7c3eba0c17ba · outbound

This paper cites ACM Computing Surveys , volume=.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs ACM Computing Surveys , volume=

Reference 5

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source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:82050b053456d1e0489ac69a28a7263a49e69ca87c8fe8c6f7f78081aa58c8b3

Observation baa725a0-d282-484f-bebe-4d3c935441bc · outbound

This paper cites 2024 , booktitle=.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs 2024 , booktitle=

Reference 6

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no resolver link, observed 2026-06-27T16:43:00.259139Z

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source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:0834c9a01446a541ffe3c1f75f3c2ab84cab9fbf1b89a0e9675ccc3b3205c033

Observation 90a9acac-020a-4e34-b14e-813fde519fa7 · outbound

This paper cites 2025 , booktitle=.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs 2025 , booktitle=

Reference 7

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no resolver link, observed 2026-06-27T16:43:00.259139Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:52be075bcc91b70b060aaa388d737b9ea5c8e2c1a0a417f962f580692c400044

Observation fd09a0cc-59e0-41fa-9bef-46ec037d7eb5 · outbound

This paper cites NAACL (Long Papers) , year=.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs NAACL (Long Papers) , year=

Reference 8

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no resolver link, observed 2026-06-27T16:43:00.259139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:5945434b7e074e0fa7b907250124a14a054789e39e0b750e814c6bd7f4aea835

Observation 496f3e3c-e412-4e8c-9f2c-bddd75656597 · outbound

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

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Advances in Neural Information Processing Systems , volume=

Reference 9

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no resolver link, observed 2026-06-27T16:43:00.259139Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:102f05837d24955c09d4bf3de246f1082b70d02f5096c8e41cbf7a0b547908fb

Observation c0b8de2a-5902-4b39-ab1e-aeceb7bbf294 · outbound

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

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 10

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no resolver link, observed 2026-06-27T16:43:00.259139Z

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source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:dafe3c205520ceabcb32c0cb158f0ffbd422ff494c35cdb94a8ded4a7300bfc7

Observation 7fa994e5-a852-4b56-aaee-c1e617f2c886 · outbound

This paper cites Findings of the Association for Computational Linguistics ACL 2024 , pages=.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Findings of the Association for Computational Linguistics ACL 2024 , pages=

Reference 11

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source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:9082512e45acb7753bf78c97a321723945db61ce4e3de34d0930683e89e487b0

Observation a94d44ad-b39b-4fe5-be51-2e1d33673c7e · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2024 , pages=.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Findings of the Association for Computational Linguistics: ACL 2024 , pages=

Reference 12

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no resolver link, observed 2026-06-27T16:43:00.259139Z

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source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:784b6659bf89c94f655b9f3aba5e231f2d7d26af1fd1e1c88f4082d9cf2f5290

Observation 527b852c-249b-406e-bffd-26a8d7b36d08 · outbound

This paper cites ToRL: Scaling Tool-Integrated RL.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs ToRL: Scaling Tool-Integrated RL

Reference 13

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verified exact
arxiv_id, observed 2026-07-03T01:17:30.699154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:3ae9fffe8b2587dc3f13b6ded2ee4ba75b742a353cf00223f57213fcd7557a6d

Observation 911f441a-b929-4c02-870b-8763850cc7a2 · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 14

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local_arxiv, observed 2026-07-03T01:17:30.718246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:359bef9f5fc478a8d445c009f6adb72e862527ca2f821e5682ae70edf6555a1c

Observation 7e3556a7-3977-48e3-8c15-7aceac004f68 · outbound

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

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 15

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local_arxiv, observed 2026-07-03T01:17:30.707920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:1e39eafcfe1294719dcf6f04b07eac088232bea943250504b16e1d68e643fc3e

Observation f0e11f8e-6a62-4d02-9c81-6b76bfb20ee5 · outbound

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

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 16

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local_arxiv, observed 2026-07-03T01:17:30.696450Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:e4de489bb9fdf16fe9794c8a8cf0c7d56bf5bc773b70481c646219a0527e6192

Observation e433066a-c7a0-498a-b070-f51febbd3853 · outbound

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

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs ToolRL: Reward is All Tool Learning Needs

Reference 17

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local_arxiv, observed 2026-07-03T01:17:30.713172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:4204c7bfead0389da2b3531705ca89149d0f62acea4859821e41ebe2e178450f

Observation 525cc7d2-0c0a-4d59-9c81-4fcebfb32512 · outbound

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

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Findings of the Association for Computational Linguistics: EMNLP 2025 , pages=

Reference 18

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source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:0a5f2da146bc3ce28320a4a5e13b8d769140a33e375167a8f23181deab0b9414

Observation 7a0dab8b-fa2f-43ed-abe1-e7ab662932c0 · outbound

This paper cites arXiv preprint arXiv:2509.14718 , year=.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs arXiv preprint arXiv:2509.14718 , year=

Reference 19

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arxiv_id, observed 2026-07-03T01:17:30.704530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:cd4ddf8f9b2cf9ca48c09a3cd74bb912c1671250ecc42fd7d7e86f6c5ac52e0f

Observation 92ef4bc6-5e1d-49d2-a397-736178e29085 · outbound

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

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 20

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source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:1e3f7efb65984e90b401faed6541363b72d00e410da4a2a18364806f2125462d

Observation 9ddf000c-15fe-43d0-957e-203c33f19090 · outbound

This paper cites Hammer: Robust function-calling for on-device language models via function masking.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Hammer: Robust function-calling for on-device language models via function masking

Reference 21

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arxiv_id, observed 2026-07-03T01:17:30.720820Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:22394c3c7e731cb64b42f83adaeab21b7517780bb1f4a48ec5cbe1de171aac9d

Observation 663d7cc8-ec9b-49c2-b2ee-40a3895768b8 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 22

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source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:dde887e031a9998c155444a2a2d20bd3d6010ddbac807a1cfa05399373fbf49d

Observation 53b32c7b-1cbe-468d-aa76-2e2eed45add2 · outbound

This paper cites Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning

Reference 23

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arxiv_id, observed 2026-07-03T01:17:30.701824Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:e2bba2a47d45f85d234e4180528297ec6bf981b9c0725be9e94f2eb1958f90a3

Observation 0d44a7f1-7263-4af9-aec3-113b2144a203 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 24

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local_arxiv, observed 2026-07-03T01:17:30.715624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:b314e013e083bf302ea67c0cf46c57339603cfbd378509841f3e913780b57517

Observation 8e4cb7bf-7f7e-4f8b-a58b-e0d5a2985fba · outbound

This paper cites 2025 , eprint=.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs 2025 , eprint=

Reference 25

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source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:d7eeadd9d2ad021ea638b3e74acfce2598badc7678336946d15e307c186ee291

Observation 9068efe5-88a0-4fcb-b288-3f4441d23828 · outbound

This paper cites It Takes Two: Your GRPO Is Secretly DPO.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs It Takes Two: Your GRPO Is Secretly DPO

Reference 26

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local_arxiv, observed 2026-07-03T01:17:30.710581Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:7a9d4de7bc111ca0f8e011841cb1a2127c32fdb5b9454d4faea27d98df66d783

Observation 6ce44243-6c2a-4413-85a8-fdd02260a219 · outbound

This paper cites Augmented Language Models: a Survey.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Augmented Language Models: a Survey

Reference 27

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local_arxiv, observed 2026-07-03T01:17:30.688153Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:74e2e595de5093ff53572eff55d59d4c507bcf452023410803372536b3a1e821

Observation b9dfa719-e29b-4f28-b189-64cfbb41289a · outbound

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

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs The eleventh international conference on learning representations , year=

Reference 28

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source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:32850ce512a6410bb2b629e85d0c27e2e7c59e98ff5ad8ae1504f7ace5bd35c0

Observation 023b4644-6182-4125-96db-8b8627249765 · outbound

This paper cites What Are Tools Anyway? A Survey from the Language Model Perspective.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs What Are Tools Anyway? A Survey from the Language Model Perspective

Reference 29

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verified exact
arxiv_id, observed 2026-07-03T01:17:30.723351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:4e2b3cc5cca67ba8552753f65ba0a9c79d173076eff960abb9d9b7d2681e8065

Observation 60712e7e-d1e1-442d-b170-c275620f41c0 · outbound

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

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Advances in Neural Information Processing Systems , volume=

Reference 30

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no resolver link, observed 2026-06-27T16:43:00.259139Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:20e26ec044a574e7e3dda6f3535c99edbeccb6434b81907246d2c9af36da29d8

Observation be768285-8425-4e92-8953-95bd675d2a63 · outbound

This paper cites ART: Automatic multi-step reasoning and tool-use for large language models.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs ART: Automatic multi-step reasoning and tool-use for large language models

Reference 31

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local_arxiv, observed 2026-07-03T01:17:30.693802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:2e084b5d2215a21b55a3e05c1cd4fea5783c893d2d284e07289f2a57c1526ed3

Observation 8cce9fde-8264-40e1-a5b1-31b92f0b0266 · outbound

This paper cites Internet-augmented language models through few-shot prompting for open-domain question answering.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Internet-augmented language models through few-shot prompting for open-domain question answering

Reference 32

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arxiv_id, observed 2026-07-03T01:17:30.691003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:43ce55481ffac858b38d7359c222d687fe78531f3e6853f826b9e4639473fe89

Observation e5ea227d-a62d-4a32-9448-00b16f14a965 · outbound

This paper cites an unresolved cited work.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Unresolved cited work

Reference 33

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source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:8fd1b89a88a3351845b406cd1681de8b79a575aa7d9cf528c452a816fd1b130f

Observation 5b3f88c0-c294-4dee-aa92-73d3b8e4f45e · outbound

This paper cites an unresolved cited work.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Unresolved cited work

Reference 34

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:f9173f4ffcc931fe51900c566459906b38bfb809c3e7181d301782ae14e182ea

Observation e98fdfe5-76ca-477f-a7fd-a28aa97c2a1c · outbound

This paper cites T umix: Multi-agent test-time scaling with tool-use mixture.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs T umix: Multi-agent test-time scaling with tool-use mixture

Reference 35

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arxiv_id, observed 2026-07-03T01:17:30.685526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:dfe9b2d7811ee30c656085075a4a162ebcf9011adad1a2c9cc6b799611595225

Observation 8a5c84a6-dc85-45d6-b63a-370ab2edd0a4 · outbound

This paper cites Proceedings of the 34th ACM SIGPLAN International Conference on Compiler Construction , pages=.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Proceedings of the 34th ACM SIGPLAN International Conference on Compiler Construction , pages=

Reference 36

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no resolver link, observed 2026-06-27T16:43:00.259139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:da7c053724ffe16d6b90285dc6fef5ca88a454224b6a9ae3e419140ff93a11a5

Observation a60512f7-88a7-4a95-a21c-391203622af1 · outbound

This paper cites ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models

Reference 37

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T01:17:30.682483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:36e0d07302c1a6ac794c2c565ddba93970766bd4e59e442e3dc32062ac3dbad8

Observation 1fa65760-104d-42df-8d30-d98860580439 · outbound

This paper cites Findings of the Association for Computational Linguistics: NAACL 2024 , pages=.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Findings of the Association for Computational Linguistics: NAACL 2024 , pages=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-06-27T16:43:00.259139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:1283d8da7712fb5f5f2c2c1354bb3ef0ac1462a5fd41142bb7104806b0f8f918

Observation 27152cac-597a-4911-8dd7-a4ca88cdf763 · outbound

This paper cites Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: long papers) , pages=.

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: long papers) , pages=

Reference 39

Resolution
unresolved
no resolver link, observed 2026-06-27T16:43:00.259139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:136cfa10763174f0c8cc9cb039f7e36b1a6faa56fd5e3ac47e1f05dd09a98fb3

Observation b53e72c3-1cea-4b6d-84f6-7fcadd8ea7bc · outbound

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

Capability-Aligned Hierarchical Learning for Tool-Augmented LLMs Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-06-27T16:43:00.259139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T16:43:00.259139Z digest=sha256:3c02d7819119f540d53963cf148b3c69c849dce0de03986b85c88384030d834c

Pith citing papers

No inbound Pith citation observations are available.