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Paper Citation Record · LEDGER

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers

As of 19 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2505.08402.

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

pith.paper-citation-record.v1
2505.08402 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:59:29.545593Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9a3d3cf-cadb-404c-80cd-fd4098609dcb · outbound

This paper cites GPT-4 Technical Report.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-15T21:59:29.310865Z digest=sha256:0d9bcba60c8403d5a32f2a05d5887a503594c7a88802c3197b0ff904a4b176ae

Observation 2a5ad2d7-4e2f-41bb-b7b2-8e09b30ef805 · outbound

This paper cites In: Proceed- ings of the AAAI Conference on Artificial Intelligence.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers In: Proceed- ings of the AAAI Conference on Artificial Intelligence

Reference 2

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source=pdf_text observed=2026-08-15T21:59:29.317528Z digest=sha256:0cb29063edaf94fead53331f33ca2e2bf89079bdc45794ea53f9b446aa3d5497

Observation 15cd3650-be8e-45c3-88eb-70e841c9876d · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2023), https://openreview.net/forum?id=TatRHT_1cK.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers In: The Eleventh International Conference on Learning Representations (2023), https://openreview.net/forum?id=TatRHT_1cK

Reference 3

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:59:29.323722Z digest=sha256:7339870fe585a9254fd8d83938f7fa39ca5d1065f06248fe7dc34a3bb5c1a408

Observation 38187de7-5156-460c-969a-e0552ad0b073 · outbound

This paper cites Smurfs: Multi-Agent System using Context-Efficient DFSDT for Tool Planning.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Smurfs: Multi-Agent System using Context-Efficient DFSDT for Tool Planning

Reference 4

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source=pdf_text observed=2026-08-15T21:59:29.328380Z digest=sha256:f8f61748b7d621e3a13ed88843ad16132e27242e69b9b9753b49e8f1323f1547

Observation 5f25c9a3-5c30-4f11-98c1-8a2cd3ac02d2 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Evaluating Large Language Models Trained on Code

Reference 5

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source=pdf_text observed=2026-08-15T21:59:29.332660Z digest=sha256:bdb13911b151a3aa5c8bc626be64fad6d398c9cdd692ca5e1565f89c54d4a7bf

Observation ecd73ebe-0978-4789-aded-94cd9ea5052f · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Training Verifiers to Solve Math Word Problems

Reference 6

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source=pdf_text observed=2026-08-15T21:59:29.338948Z digest=sha256:df4c7d97a99ca0d9d7e87ace66c784b95091d48569def0724320f80e98b00be0

Observation 6ebc1d65-7f56-4422-9617-c05ae5dc8aa0 · outbound

This paper cites A Survey on In-context Learning.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers A Survey on In-context Learning

Reference 7

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source=pdf_text observed=2026-08-15T21:59:29.344524Z digest=sha256:95c1ec10508e147c7ce52b887cc8f272cb8902ffc6d3a59d816bc1fc54f53d28

Observation 8b87e504-590f-4f34-9b40-0562acb37618 · outbound

This paper cites AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls

Reference 8

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source=pdf_text observed=2026-08-15T21:59:29.349891Z digest=sha256:04790e74d1e1893a073d0e85988d37bf64eb0601842547fb9e374f5d09c5d109

Observation 122f92f7-2766-48b3-a0fa-4c898e6464c9 · outbound

This paper cites Successive Prompting for Decomposing Complex Questions.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Successive Prompting for Decomposing Complex Questions

Reference 9

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source=pdf_text observed=2026-08-15T21:59:29.355158Z digest=sha256:56904f7f0136c68bbddd51f084d797d1f749da86d260506666e3b732bfad9d9a

Observation 3e0b620d-07e0-459b-9a50-8483c359207b · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 10

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source=pdf_text observed=2026-08-15T21:59:29.360305Z digest=sha256:ea93cc8ea9aff488161d7b1f2fa27972a2f6eafe90e23dd5e8685c3e19dc94bf

Observation ecb85b6f-30c4-4bdb-b4dd-16f6ce45f1b4 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vi- sion and Pattern Recognition.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers In: Proceedings of the IEEE/CVF Conference on Computer Vi- sion and Pattern Recognition

Reference 11

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source=pdf_text observed=2026-08-15T21:59:29.367337Z digest=sha256:d2dcc37a34ad416675c45e8bb650dfc85e587239fd94d4c1022d17076a81d61f

Observation 9584e152-e568-433c-a930-13b71ba013d3 · outbound

This paper cites Advances in neural information processing systems 36 (2024).

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Advances in neural information processing systems 36 (2024)

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:59:29.372913Z digest=sha256:45ae28437b206ecc10e6f8f9765a8473f3355132e5dd3832f9edc06256ddedf1

Observation 2ac52851-d845-4721-90c0-7b07fd8129b4 · outbound

This paper cites Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 13

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source=pdf_text observed=2026-08-15T21:59:29.380071Z digest=sha256:883800767b4420822c3ada16707c07427a690ca7918fb4da283b44b9e57e6c6d

Observation 41015a47-2e03-4b90-b96c-b5238f53315b · outbound

This paper cites Planning and Editing What You Retrieve for Enhanced Tool Learning.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Planning and Editing What You Retrieve for Enhanced Tool Learning

Reference 14

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source=pdf_text observed=2026-08-15T21:59:29.386157Z digest=sha256:678f7d7124d5d4dc14c88cde7ab78cfc47e83ed902331d00cb2c9bbb1140979e

Observation 837b32ed-9500-4a23-9598-f07d20ca865d · outbound

This paper cites StructGPT: A General Framework for Large Language Model to Reason over Structured Data.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers StructGPT: A General Framework for Large Language Model to Reason over Structured Data

Reference 15

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source=pdf_text observed=2026-08-15T21:59:29.393701Z digest=sha256:ac4b50819aa6b57610e2b30e984bc967d45f6c8cb3013652a7d3ee1e4ebc02b2

Observation b63b9c14-28ca-42f6-b85d-e346147c19eb · outbound

This paper cites Decomposed Prompting: A Modular Approach for Solving Complex Tasks.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Decomposed Prompting: A Modular Approach for Solving Complex Tasks

Reference 16

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source=pdf_text observed=2026-08-15T21:59:29.398290Z digest=sha256:f4d4b561cc03546b2d9d56e8662bc5a0cf8c9cf95ca8abad17b5971eeff7845a

Observation 9ec11932-0e96-4f32-ad63-5c26b837d281 · outbound

This paper cites TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems

Reference 17

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source=pdf_text observed=2026-08-15T21:59:29.404703Z digest=sha256:6d4151a709deac845c37dfe769d7939e53538c26833ab00a91ae4c6b66eb3e4e

Observation c65179ff-6c35-4dfe-94e9-04802809a7d8 · outbound

This paper cites ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph

Reference 18

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source=pdf_text observed=2026-08-15T21:59:29.412148Z digest=sha256:551dbb79339dbed7cad901c89c9258e3cb8222d6f9240aac53e6d9fe5af4fad8

Observation a46a4741-38e3-4712-9b76-8345f8269e43 · outbound

This paper cites ControlLLM: Augment Language Models with Tools by Searching on Graphs.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers ControlLLM: Augment Language Models with Tools by Searching on Graphs

Reference 19

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source=pdf_text observed=2026-08-15T21:59:29.417367Z digest=sha256:5c818094920cf3744e91f0ca46608c8208bc269513c5aa4c5f842ef63d157287

Observation b80be018-336a-4b04-9653-c9ee9e1641c3 · outbound

This paper cites Advances in Neural Information Processing Systems36 (2024).

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Advances in Neural Information Processing Systems36 (2024)

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:59:29.421812Z digest=sha256:aaa4a37d33b6a5a4892fa4f2789d14413a32d4cddf7c3c0e966ce82346901c84

Observation 18af8c74-4d24-44b1-9bdb-6078a915d2ec · outbound

This paper cites TOOLVERIFIER: Generalization to New Tools via Self-Verification.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers TOOLVERIFIER: Generalization to New Tools via Self-Verification

Reference 21

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source=pdf_text observed=2026-08-15T21:59:29.426511Z digest=sha256:b3c182d59253564ef2488dbf4e487ad95eb373dc799416e61a577aa17b0182da

Observation ee7da346-845b-4f23-a08e-98c12c9aafef · outbound

This paper cites Advances in neural information processing sys- tems 35, 27730–27744 (2022).

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Advances in neural information processing sys- tems 35, 27730–27744 (2022)

Reference 22

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source=pdf_text observed=2026-08-15T21:59:29.433107Z digest=sha256:f47417968f8e8f0613f068f113a3ea4f335d691ff22956d638ee6ce09ef778bf

Observation 4baef369-daa6-47ca-a5a3-bf7c29c92e0b · outbound

This paper cites TALM: Tool Augmented Language Models.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers TALM: Tool Augmented Language Models

Reference 23

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source=pdf_text observed=2026-08-15T21:59:29.437588Z digest=sha256:05d0a57f9bde1bfd576f9e37372b8f66f1e7e17e30c15cdc67628c86b74d1239

Observation 5b6074dc-e204-4d96-bde5-babb58bf2821 · outbound

This paper cites Tool Learning with Foundation Models.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Tool Learning with Foundation Models

Reference 24

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source=pdf_text observed=2026-08-15T21:59:29.442273Z digest=sha256:bef612ac73bb5a14700737533694b20611a99113999d0397bf7605d534079535

Observation 99da9af5-e832-4465-a84c-95c45ddd4d3c · outbound

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

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 25

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source=pdf_text observed=2026-08-15T21:59:29.446664Z digest=sha256:fde0c76ddb9d0b7a6c1dd05d522c403ebce9428480942ead3dfb603f70433a06

Observation 7f645b91-0872-4f79-8b22-7214e82b6d7d · outbound

This paper cites Towards Completeness-Oriented Tool Retrieval for Large Language Models.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Towards Completeness-Oriented Tool Retrieval for Large Language Models

Reference 26

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source=pdf_text observed=2026-08-15T21:59:29.450879Z digest=sha256:32a70d7dbfaa7794c9790176c1d4d1ead8ff987a5d658738486b92774ebb0ba3

Observation dbb725e4-f79e-4624-ab99-accb7d51ac7d · outbound

This paper cites Question Decomposition Improves the Faithfulness of Model-Generated Reasoning.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 27

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source=pdf_text observed=2026-08-15T21:59:29.455077Z digest=sha256:92e8e7de123f0182965ff84a5714f620c9983f55f26d7444f502f1417e028ad9

Observation 17eba95a-1bcd-4aaf-8725-2eff63ad81ca · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Advances in Neural Information Processing Systems 36 (2024)

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:59:29.459750Z digest=sha256:f50fd34d5fa86f54ac7a887bba87c0a8fbd0b195999146de91ffa6b1bc7b1303

Observation 2a211285-8e33-45cd-a3ae-8ec568552a35 · outbound

This paper cites Learning to Use Tools via Cooperative and Interactive Agents.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Learning to Use Tools via Cooperative and Interactive Agents

Reference 30

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source=pdf_text observed=2026-08-15T21:59:29.468566Z digest=sha256:e551134a620af83fc6383a2482328c138d80b0b39d3aa0c7eb43f7da6e7127d1

Observation dc0b8170-0a88-4cff-8c14-81b2ccbf056f · outbound

This paper cites In: 2023 IEEE International Conference on Robotics and Automation (ICRA).

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers In: 2023 IEEE International Conference on Robotics and Automation (ICRA)

Reference 31

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:59:29.472418Z digest=sha256:8063c0be39930689b8245530173653c6e9798fcb0af32c67654d131946b62de9

Observation 6b3e7535-0f82-47a8-961a-e5da6d0b0f3b · outbound

This paper cites RestGPT: Connecting Large Language Models with Real-World RESTful APIs.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 32

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source=pdf_text observed=2026-08-15T21:59:29.476857Z digest=sha256:50d93b9c110bb027108d46ea3f54fb58aaf2445898166097fedabad2298977db

Observation 7714f76f-82ac-464d-821c-5032a288c534 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 33

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:59:29.481136Z digest=sha256:b45c7391a02c11f2034d9082ca5b70e715b51356e0d91cfc5a700f693ec9252f

Observation db7a805b-5442-4c5f-9347-baf98c3d89fa · outbound

This paper cites an unresolved cited work.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Unresolved cited work

Reference 34

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:59:29.485005Z digest=sha256:d8bbfb2ce5de614f920e607e8b07fd0ebf78920e2108eac7a00721ba6c44b74d

Observation 70f693cc-3638-481f-b57c-c62a80c36a5a · outbound

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

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 35

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source=pdf_text observed=2026-08-15T21:59:29.489334Z digest=sha256:ce819f4c59bd0ddc2b7802ec001ca48933153c7375b153c5f3e827cc74bec9be

Observation a29da867-1147-402f-b6fc-e78fa15f390e · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 36

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source=pdf_text observed=2026-08-15T21:59:29.494077Z digest=sha256:f80e4dd482354668a51b57d0cc906b8ae0cc5a0041ec929bffe97b6a5bc4c145

Observation 915fb22d-1973-4c78-8c04-6f86e3a557ce · outbound

This paper cites Advances in neural information processing systems35, 24824–24837 (2022).

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Advances in neural information processing systems35, 24824–24837 (2022)

Reference 37

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:29.498333Z digest=sha256:7273ae5f4707ecd5d959ab1c436015074d5e552ba22194313c5bd387909a69d9

Observation a8858aed-649e-4873-a202-587f6ad7dc1d · outbound

This paper cites Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:29.502053Z digest=sha256:708ec0856e6abf951bcf4e460271d11193abb312b054051c3ec77f5d83577aef

Observation 00a88db6-2b48-457d-b363-b4d473c5f14f · outbound

This paper cites If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T21:59:29.506482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:29.506482Z digest=sha256:87bd2af90d2581111218cb2728c67ba4b566bfea1afe7e42f5f1595f0508e37f

Observation 1a7ffe2d-0d2d-49d3-8fa2-7f447bad870c · outbound

This paper cites Advances in Neural Information Processing Systems36 (2024).

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Advances in Neural Information Processing Systems36 (2024)

Reference 40

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no resolver link, observed 2026-08-15T21:59:29.510808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:29.510808Z digest=sha256:6894362d669ee76bcfac96cb200481150fc7091653adc181863da0a59a3c65c2

Observation c6f5b28e-4187-46da-869c-f01cbf0da16b · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers ReAct: Synergizing Reasoning and Acting in Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T21:59:29.515340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:29.515340Z digest=sha256:c7a97baff5a6cb57666c0065b40e2931fb87bfee933a14a37ec411c34793e989

Observation a6210189-9828-4649-a228-4092fb4956a9 · outbound

This paper cites CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T21:59:29.521492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:29.521492Z digest=sha256:cc7fc70c7cb3c1b8394dad8af79bfe8eabe6ba7e030c4240b39e1f0aa758d0ee

Observation 213d1824-d9d3-4479-a609-7418bc36f141 · outbound

This paper cites Retrieval-Augmented Generation for AI-Generated Content: A Survey.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Retrieval-Augmented Generation for AI-Generated Content: A Survey

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T21:59:29.527154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:29.527154Z digest=sha256:a1efb3e98c1beed00d8e3435864669cf78947dfe2c1a921867895332942965ad

Observation 5d4b34dd-2f6c-4f81-9962-56b9e1b3b431 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T21:59:29.532320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:29.532320Z digest=sha256:bf8ebdf2892af46f225ed7953b52aafa04dd11601baaf211ba06bfef3c358e4a

Observation 05baf1bb-41b7-4180-8c75-525f9d6381b6 · outbound

This paper cites ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search.

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T21:59:29.540001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:29.540001Z digest=sha256:cc200ed1f38941bc08cf89f1c7004a22a0a668470e865c94b52761ef29416519

Observation 2c1ddaa5-5057-4ae8-ac84-54495a4d2c58 · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

TUMS: Enhancing Tool-use Abilities of LLMs with Multi-structure Handlers Advances in Neural Information Processing Systems 36 (2024)

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:59:30.226503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:59:29.545593Z digest=sha256:1cbc142556f05276c85833ff8e14926ffbab331b42677b1250103f99cbced8cb

Pith citing papers

No inbound Pith citation observations are available.