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Paper Citation Record · LEDGER

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing

As of 11 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 2 inbound Pith citation observations for arXiv:2501.05255.

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

pith.paper-citation-record.v1
2501.05255 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:18:05.301084Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:05:11.038713Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T02:47:37.503754Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact1
  • verified fuzzy2
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a84d3a16-1d4e-439d-9856-24be3ecc7ef1 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:05.057273Z digest=sha256:2de0cc1d693f463b5403f751e4e0015fd7b61d195312c0b76df20ef916773c87

Observation 9871aaa7-3e86-4e8f-8c52-b691915ecff5 · outbound

This paper cites GPT-4 Technical Report.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing GPT-4 Technical Report

Reference 2

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:05.064339Z digest=sha256:2a1cd0b921dc274b3f7f80cce7f69b267cb9e3a8fab657e0f0b394e91e3d720c

Observation d605d780-0500-4f4d-a5eb-bd02b1c8dfdb · outbound

This paper cites an unresolved cited work.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:18:05.070362Z digest=sha256:9aed172e1df482b7202623e2c6585ef9829fcfe8b52f6db2e5f56e23dcbf6b96

Observation dac6f2ac-6e0c-42ae-8b44-252a52cdb768 · outbound

This paper cites an unresolved cited work.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:18:05.075807Z digest=sha256:de02bfc134e45751a95b366f3dbcd54bf1e746b8d6716cbfc8993ece2060352e

Observation 861205f1-cda9-471e-8cf9-08a866bbe99d · outbound

This paper cites Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation

Reference 5

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source=pdf_text observed=2026-08-10T21:18:05.081692Z digest=sha256:400c02bbd4ee7ae6db2faa7c94db4d63b5bf85982a911856109c4936656209a1

Observation 0c4782b2-94f1-4075-bcdc-a696ea38ca50 · outbound

This paper cites MultiWOZ -- A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing MultiWOZ -- A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:05.087594Z digest=sha256:30830f59bd2e831aca35205d76dd5d713ed0ad1fffac8d35878b9687fca27223

Observation 8548b02c-a1e4-4352-8fbd-4a68e5613f42 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Evaluating Large Language Models Trained on Code

Reference 7

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source=pdf_text observed=2026-08-10T21:18:05.094203Z digest=sha256:37725dfe6532a89cdeff0c640c31f670c4cbd4e72e33d3e80c82df59a10feb44

Observation 07b740f6-8edc-46ce-ab1e-9b9486c405fb · outbound

This paper cites an unresolved cited work.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:18:05.100102Z digest=sha256:40d4addd7fb51dc744e91151d2c3af438e519176b107adafc90f1b2497ab816b

Observation a77ff756-d1d0-46e3-8f44-3663d789a8a3 · outbound

This paper cites an unresolved cited work.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Unresolved cited work

Reference 9

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raw_fallback, observed 2026-08-10T21:18:06.495506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:18:05.105180Z digest=sha256:dc22878fcb556000b46981a20c7134fbde81c56f3d34ded27634b1bc883e267c

Observation 468beaee-a7fd-46b9-9450-1a39cb8a7a8a · outbound

This paper cites Shortcut Learning of Large Language Models in Natural Language Understanding.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Shortcut Learning of Large Language Models in Natural Language Understanding

Reference 10

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source=pdf_text observed=2026-08-10T21:18:05.110035Z digest=sha256:5825d97e122ec80ceae52852df76e85e0111f2df7132686914d166116a0c7b79

Observation d941c06d-8afb-4c85-93b6-4e308b803654 · outbound

This paper cites an unresolved cited work.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:18:05.114885Z digest=sha256:1cdbb1c7c159ec4a3a71242f252b515b51eae3be8053aca71ffebcd292048bca

Observation f355972b-ba00-4c1a-af78-bb8469969c37 · outbound

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

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

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source=pdf_text observed=2026-08-10T21:18:05.119186Z digest=sha256:5f48ae2cba4751104eb26ac988d23ef11d6405cbab0bb9d2f8f147c158d8b4d7

Observation d1c8ef73-8492-4a14-a41f-ceb4c86f2f73 · outbound

This paper cites StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models

Reference 13

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source=pdf_text observed=2026-08-10T21:18:05.124593Z digest=sha256:d9f90ea2ba29d6590e79ca79249bb85a0da384d49d0b30c855af3993425ea0c4

Observation f5773816-3378-4856-a6e0-d5fdf5f1c159 · outbound

This paper cites IFAR: Multi-Perspective and Multi-Level Causal Discovery with LLMs.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing IFAR: Multi-Perspective and Multi-Level Causal Discovery with LLMs

Reference 14

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source=pdf_text observed=2026-08-10T21:18:05.130043Z digest=sha256:dac7301e21569efd9de4c0a9da4e91d7fef79d9f83cb5a5a578ba3e5a2aff3f5

Observation d95b6abf-c31f-4261-b922-bb3208066001 · outbound

This paper cites TAPAS: Weakly Supervised Table Parsing via Pre-training.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 15

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source=pdf_text observed=2026-08-10T21:18:05.135257Z digest=sha256:dcbdad2c7872dae37c5956b6198730ac35f7b2341dacf982ff496de43d049257

Observation 6c40cd36-1566-464e-948f-7f0353fc9fd9 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 16

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source=pdf_text observed=2026-08-10T21:18:05.140835Z digest=sha256:057473a13eb0ea74abcec928b44d3ed01990cb7c325334606322609e69369ece

Observation 4e256995-a2da-4ac0-a5f2-d1238a4376bb · outbound

This paper cites Patil Fanjia Yan, Tianjun Zhang, Ion Stoica, and Joseph E.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Patil Fanjia Yan, Tianjun Zhang, Ion Stoica, and Joseph E

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-10T21:18:06.458194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:18:05.146344Z digest=sha256:4ec85fd981a1636cddd670ffd639f99a815a50d12e205e5780c22ce7928ec15a

Observation 609038bd-adec-4b76-aff9-3a54b0d65650 · outbound

This paper cites API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Reference 18

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source=pdf_text observed=2026-08-10T21:18:05.151908Z digest=sha256:e02f1f8ab208bd75d3cae362f07273a4881e708ab5bf1e62f6a2061c6bd5854c

Observation 531e1326-20cb-44f7-9088-e7d6136da7a2 · outbound

This paper cites an unresolved cited work.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-10T21:18:05.157202Z digest=sha256:f6501c4ab0857f2f989bf067bc5bbdf0e84042b4741d4e9d5ed57db1036b4d85

Observation 0cb5ca96-d377-4e83-ab04-f2809715b0a9 · outbound

This paper cites We Need Structured Output.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing We Need Structured Output

Reference 20

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source=pdf_text observed=2026-08-10T21:18:05.162583Z digest=sha256:c254853a91b9ba134aaebdf652896ca23ba672c82b81c7037b5a0276b1ac750a

Observation 996a9a51-79cc-45f3-b034-4ebe0af57e38 · outbound

This paper cites ToolACE: Winning the Points of LLM Function Calling.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing ToolACE: Winning the Points of LLM Function Calling

Reference 21

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source=pdf_text observed=2026-08-10T21:18:05.167333Z digest=sha256:ea67fa04c486fe7b1fcf2ea1deb2b6fc4b4924539618d09c00cca1eb4b265477

Observation 5239967e-1ba2-4df6-82f0-ee1f6e6c26d6 · outbound

This paper cites an unresolved cited work.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:18:05.172414Z digest=sha256:dfe34bc66d44e82048c5676576f91c7c14497b101392864f8ee568c6a8c9f585

Observation d474198c-6b42-4ee4-92a2-d0ce38b596de · outbound

This paper cites an unresolved cited work.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:18:05.176590Z digest=sha256:a669a7575bd430d584aace0895875373792a073ab9f989e5b3431fea3ea73710

Observation 578cbba1-c1be-41b9-9b3b-1572e9087b2d · outbound

This paper cites an unresolved cited work.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Unresolved cited work

Reference 24

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:18:05.180592Z digest=sha256:7d063c94a74394c08b8088aacc8d19aa2a2f2105b51a84edf3473524fbeaf881

Observation 52cd3431-d2d0-4323-b0d2-cb460550d4fc · outbound

This paper cites Gorilla: Large Language Model Connected with Massive APIs.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Gorilla: Large Language Model Connected with Massive APIs

Reference 25

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source=pdf_text observed=2026-08-10T21:18:05.184852Z digest=sha256:43c1a136f7b6e3eec958aee0d48cb94b743504ea8b79cb0963cc9853f61ac5b2

Observation cb3718a7-34f0-4c55-8c1d-3a88b684d474 · outbound

This paper cites an unresolved cited work.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:18:05.189358Z digest=sha256:8a3eaf3a93d7f831157f639003b8dd30be5007e0924cc683aaa926cc77406666

Observation ca2ec6f3-7a4a-4a51-af35-2d3b23c3573b · outbound

This paper cites an unresolved cited work.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Unresolved cited work

Reference 27

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raw_fallback, observed 2026-08-10T21:18:06.357268Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:18:05.193643Z digest=sha256:9012fc3e7385c66054834ea1ae92b9d09bbf12d52994a3a0db789444748521cc

Observation 85c9cd6c-107e-413f-aa59-8a57902d9b85 · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 28

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source=pdf_text observed=2026-08-10T21:18:05.198665Z digest=sha256:039b9bfb9b731c75cbe21afaf47608504e2db727d4a07cfd41087dd6d7de342b

Observation 071fa1ab-7add-40ff-b1c0-dd59f4e25066 · outbound

This paper cites Abstract Syntax Networks for Code Generation and Semantic Parsing.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Abstract Syntax Networks for Code Generation and Semantic Parsing

Reference 29

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no resolver link, observed 2026-08-10T21:18:05.203572Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:18:05.203572Z digest=sha256:3475f9efb6749145db6b47a30312f8519de3444d0d4216985f03d2ebd4965467

Observation c6f9f02b-b0b1-4ed3-8136-99ee939c3e13 · outbound

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

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 30

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source=pdf_text observed=2026-08-10T21:18:05.208656Z digest=sha256:7a476bd030c58ca04e6ddde76b00e8dbd60ba5e70e04578e32c3b1418bba11c5

Observation 49993037-d708-4f06-9f95-2ae3b856c4a8 · outbound

This paper cites ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases

Reference 31

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source=pdf_text observed=2026-08-10T21:18:05.213700Z digest=sha256:ed2643cb269f536880710f176e438e2e6273baad037b013a712d6eaa6c9d0ae1

Observation b3658af4-4f3c-4d7e-a206-ba7bbfad721f · outbound

This paper cites CodeAgent: Autonomous Communicative Agents for Code Review.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing CodeAgent: Autonomous Communicative Agents for Code Review

Reference 32

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no resolver link, observed 2026-08-10T21:18:05.219198Z

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source=pdf_text observed=2026-08-10T21:18:05.219198Z digest=sha256:14c8f3e5c11a99b6cab6efdc366b718ac9493300649b6d93655e5305fcec3bde

Observation 24695f1f-7f38-439b-a429-7307bbe21eb8 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Gemma 2: Improving Open Language Models at a Practical Size

Reference 33

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source=pdf_text observed=2026-08-10T21:18:05.224687Z digest=sha256:479f480c5752a22bf83d8fea33d43b398bf3f63dbf06db590a342869436febca

Observation 26959de4-1314-4edf-95af-4cd5fa7d1412 · outbound

This paper cites Is ChatGPT the Ultimate Programming Assistant -- How far is it?.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Is ChatGPT the Ultimate Programming Assistant -- How far is it?

Reference 34

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source=pdf_text observed=2026-08-10T21:18:05.229989Z digest=sha256:c37e9a279d3fab7f0bd377877f0732ec02a7ac4fa988f6aca295a325e025033a

Observation 32421f49-8701-4125-a066-5967545b9b61 · outbound

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

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 35

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source=pdf_text observed=2026-08-10T21:18:05.235690Z digest=sha256:423c90d7d7cd683cc61fe182f0d3fb3c5bb6e98885a558c9f674fb215fe942e9

Observation 8c32d5f6-c2dd-4e20-83a2-2f78a3e4ca64 · outbound

This paper cites an unresolved cited work.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Unresolved cited work

Reference 36

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verified exact
raw_fallback, observed 2026-08-10T21:18:05.558771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:18:05.240502Z digest=sha256:32359dfba414d66ce914a1c6187a78369ba6baaee9873861762d696cc043d664

Observation b6871431-51fc-4eb6-b972-74f9df0d2c85 · outbound

This paper cites an unresolved cited work.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Unresolved cited work

Reference 37

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Observation 56c39e9a-2114-4721-a38f-7262eb449f09 · outbound

This paper cites Patil, Ion Stoica, and Joseph E.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Patil, Ion Stoica, and Joseph E

Reference 38

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no resolver link, observed 2026-08-10T21:18:05.249648Z

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source=pdf_text observed=2026-08-10T21:18:05.249648Z digest=sha256:9d9fb98214a118bbf93da45518ff93bedb816e8623f61e459cff2e9793c92846

Observation eb406442-b1a0-40f5-a119-42742c3cecd2 · outbound

This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 39

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unresolved
no resolver link, observed 2026-08-10T21:18:05.254290Z

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source=pdf_text observed=2026-08-10T21:18:05.254290Z digest=sha256:002231f97769bccd5013557a36a44c92456ccdeca36c3910b3649c894cd853cd

Observation 9c2d8ad2-c3c3-48f2-8f68-5c3ad7a1e488 · outbound

This paper cites ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios

Reference 40

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no resolver link, observed 2026-08-10T21:18:05.258999Z

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source=pdf_text observed=2026-08-10T21:18:05.258999Z digest=sha256:0a6966544a3de04ce60ba629a4e27b9090c331c80647a4912f6c3c16df4cdcfe

Observation dbbfeda7-ba94-4cec-a941-a186944c143f · outbound

This paper cites an unresolved cited work.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Unresolved cited work

Reference 41

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unresolved
raw_fallback, observed 2026-08-10T21:18:06.315907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 35e47913-e417-42b2-aeb1-a6c95d8f2b27 · outbound

This paper cites xLAM: A Family of Large Action Models to Empower AI Agent Systems.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing xLAM: A Family of Large Action Models to Empower AI Agent Systems

Reference 42

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no resolver link, observed 2026-08-10T21:18:05.270133Z

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Observation 57816f41-4b3c-48dc-974c-618097f63cfb · outbound

This paper cites an unresolved cited work.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Unresolved cited work

Reference 43

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unresolved
raw_fallback, observed 2026-08-10T21:18:06.299324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:18:05.275854Z digest=sha256:cd64dd85b208b99cfde75eb048dce17774cde088514b1552a3ef808d3c4890ff

Observation a23712e8-b7dc-47c9-a5aa-a5c03bb9ff45 · outbound

This paper cites an unresolved cited work.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:18:06.280889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:18:05.280873Z digest=sha256:936bb90e1f50e8fe086f3b41454fcfe9d98d2c39af471ce61c9fd5ef434dcdf5

Observation 4e888688-f8e8-4849-a5d1-86ad9261c309 · outbound

This paper cites an unresolved cited work.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Unresolved cited work

Reference 45

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no resolver link, observed 2026-08-10T21:18:05.291373Z

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source=pdf_text observed=2026-08-10T21:18:05.291373Z digest=sha256:87d45033d5c9ebdfd83372feb843781d0f862ae1479abe78f4cfd6a4579a4173

Observation b4dc4dad-c517-48dd-9572-91f691bb252d · outbound

This paper cites EASE 2025, 17–20 June, 2025, Istanbul, Türkiye T rovato et al.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing EASE 2025, 17–20 June, 2025, Istanbul, Türkiye T rovato et al

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:18:06.254492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation f40fc725-0c28-4db0-86c6-488886fbb797 · outbound

This paper cites Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning

Reference 2023

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unresolved
no resolver link, observed 2026-08-10T21:18:05.285849Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:18:05.285849Z digest=sha256:57bdcf71d8aa55c74da83e476fed94399bdff850d0867dee1c42a3038d60da96

Observation 7c39a591-f33e-4b49-8697-029864cef847 · outbound

This paper cites BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Reference 2024

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unresolved
no resolver link, observed 2026-08-10T21:18:05.301084Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T21:18:05.301084Z digest=sha256:4f90d39c1a764e353d35d1b5ab4be7caa1ca7710721741862d46044fcdfca4fa

Pith citing papers

Observation 72d2ae08-4c51-4d94-b0b4-02ea3d80b515 · inbound

Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation cites this paper.

Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing

Reference 44

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no resolver link, observed 2026-08-06T23:05:11.038713Z

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source=arxiv_source observed=2026-08-06T23:05:11.038713Z digest=sha256:1371fbcf0f94fda4c70ee0885d5cd27e8bd1ff10c1e463f3d1f2993d7a767546

Observation f02b5bcd-9c71-45e7-a5bf-3740db9e45aa · inbound

Empirical Study for Structured Output Control in LLMs for Software Engineering cites this paper.

Empirical Study for Structured Output Control in LLMs for Software Engineering CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing

Reference 29

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verified exact
arxiv_id, observed 2026-07-03T02:47:37.505004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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