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Paper Citation Record · LEDGER

RestGPT: Connecting Large Language Models with Real-World RESTful APIs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2306.06624.

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

pith.paper-citation-record.v1
2306.06624 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:05:11.045694Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

15
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d3b7c9d9-a3fd-4896-8232-5ae5ef07c04d · inbound

Large Language Models are not Fair Evaluators cites this paper.

Large Language Models are not Fair Evaluators RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 77

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arxiv_id, observed 2026-05-17T12:10:42.397462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-17T12:10:42.248005Z digest=sha256:acf2f56b1e47e4800bc875566dc5f06e23b21cd61626d4b3d144e55bd85177b4

Observation f4b7ac81-01fb-43c7-9361-f1b2f7e2eab7 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 219

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verified exact
arxiv_id, observed 2026-05-19T20:28:38.983501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:0961dee4742f5f68be8a75d80425c9a6ef76718b04a4b8938330879f2eba697d

Observation 31dafeec-b5fa-4586-a021-cdb8b6161316 · inbound

A Survey on Large Language Model based Autonomous Agents cites this paper.

A Survey on Large Language Model based Autonomous Agents RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 71

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verified exact
arxiv_id, observed 2026-05-15T04:03:01.142416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T04:03:00.340349Z digest=sha256:6c320e7641b6ad3909154b72ed17bd2bae9fa35dad9886061cfb1062f96e64bc

Observation 09b053a0-3dd6-4194-9d05-9d04be6a8429 · inbound

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations cites this paper.

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 79

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malformed identifier
arxiv_id, observed 2026-05-14T22:34:15.795485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-14T22:34:15.638114Z digest=sha256:711c88623e1480358a159773ac0b381037bed79b76062286668074a0aad539b3

Observation 8be66691-339a-45e2-b643-1ac6c25e1a36 · inbound

Learning to Ask: When LLM Agents Meet Unclear Instruction cites this paper.

Learning to Ask: When LLM Agents Meet Unclear Instruction RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 24

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verified exact
arxiv_id, observed 2026-05-23T21:13:27.996015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-23T21:08:42.276002Z digest=sha256:340d70fe231afb1bad15cec01a3d61c8bcbf26498993613fe132ff89d5da5590

Observation 5289dd9b-8a20-478c-a670-67e4803d970a · inbound

Prompt Injection Attack to Tool Selection in LLM Agents cites this paper.

Prompt Injection Attack to Tool Selection in LLM Agents RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 6

Resolution
malformed identifier
arxiv_id, observed 2026-05-16T17:08:29.089511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T17:08:28.933831Z digest=sha256:8e223ebb779f16bd9ec8e5f4a9de7c1d7bc924d5ea58e97465551167be660c59

Observation dce35f71-483b-402b-b718-2f2d2c158225 · inbound

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

Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 45

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unresolved
no resolver link, observed 2026-08-06T23:05:11.045694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:05:11.045694Z digest=sha256:9f9e06639e780fc1945a083fe3fb3a419391ecf2263c786329e368235ed13e82

Observation e88919fb-c259-41eb-914c-2858038da2ad · inbound

LLM Agents Are the Antidote to Walled Gardens cites this paper.

LLM Agents Are the Antidote to Walled Gardens RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 87

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verified exact
arxiv_id, observed 2026-05-22T00:44:29.422139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T00:41:19.750928Z digest=sha256:27d3eba19a4639add7e9a61b39d9712f27b2fff153ee3a1740adfcc8556f55d3

Observation 4fed1024-faf2-4cad-bd23-8b1962c13f52 · inbound

DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering cites this paper.

DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 10

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unresolved
no resolver link, observed 2026-08-06T17:11:33.955174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:11:33.955174Z digest=sha256:5695e393d78cd09adcc6c4aaad19a1a01fb420951dcfe44db9a12bfaf1e52559

Observation 32ddd04b-785b-4d90-9f50-9e442a92cd5e · inbound

Initial Steps in Integrating Large Reasoning and Action Models for Service Composition cites this paper.

Initial Steps in Integrating Large Reasoning and Action Models for Service Composition RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 18

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unresolved
no resolver link, observed 2026-08-06T14:33:54.143722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:33:54.143722Z digest=sha256:a39f50fa7c6385b66d7479735a4a29bcb269e9681f07c71d2ec694562e77cbfe

Observation 3e4f44cb-40d4-40cc-86d7-1a36ce47484c · inbound

ReQuestNet: A Foundational Learning model for Channel Estimation cites this paper.

ReQuestNet: A Foundational Learning model for Channel Estimation RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 28

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no resolver link, observed 2026-08-05T21:24:04.949517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:24:04.949517Z digest=sha256:bb4464f893c3f558da62deb9042cd51571c03871b79cf71f6012e1c907ef72cd

Observation 5cdd817c-44cb-42a3-a65f-2e5d34e417f6 · inbound

ReQuestNet: A Foundational Learning model for Channel Estimation cites this paper.

ReQuestNet: A Foundational Learning model for Channel Estimation RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T21:24:05.021467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:24:05.021467Z digest=sha256:61705f56c5dc9086f533b176d4633f1a8f1247e6be08972b9f0b5ae560b08f12

Observation f65f3369-143a-4669-8b4f-ae92a6c148d7 · inbound

Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments cites this paper.

Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 34

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arxiv_id, observed 2026-05-18T23:56:55.190791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T23:53:41.256273Z digest=sha256:5bb84a7b5f5fa926329e70dfba7cf4617a9def412af6840cbfbdb7ecba0057c7

Observation 3861dfcd-0866-4e04-ab1c-32874f7fa3ef · inbound

Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments cites this paper.

Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T23:56:54.900998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T23:53:41.256273Z digest=sha256:ae2c359920e4f54caa4efb1504a28bc731fc2a6a7e8cea03c18d931220b0a1d8

Observation ed1cc194-99cc-4603-bfe7-8367a9da2bab · inbound

Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems cites this paper.

Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-04T18:50:10.566375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:50:10.566375Z digest=sha256:e28064368d4b305e1f9fb0d5922aab95857ebb43e2c29ee262831cfd466833dc

Observation 04c7791b-5d00-4a55-a633-fc158382929f · inbound

Benchmarking Web API Integration Code Generation cites this paper.

Benchmarking Web API Integration Code Generation RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T15:17:02.962463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:17:02.962463Z digest=sha256:d0a9c6040aea8d54aafaddb8566eeeb84fd914649f4fb7727be3e874b526d042

Observation d25049ba-550d-4401-ac4f-3688158297ac · inbound

Your LLM Agents are Temporally Blind: The Misalignment Between Tool Use Decisions and Human Time Perception cites this paper.

Your LLM Agents are Temporally Blind: The Misalignment Between Tool Use Decisions and Human Time Perception RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 38

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verified exact
arxiv_id, observed 2026-05-18T03:50:52.561813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T03:46:03.228969Z digest=sha256:900c96ed11cb555331a789353dd5cfcacaa7e886dae432ff216999af3e30545a

Observation a2c1d218-c55f-43ec-9d6a-05c445687d40 · inbound

AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning cites this paper.

AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 56

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unresolved
no resolver link, observed 2026-08-03T16:30:41.814039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T16:30:41.814039Z digest=sha256:c658b551239485adeb3aea8af377f55683d63b595b009cd5935ca45b7e74dbb4

Observation 13bcc049-460a-4a69-ae9a-7b51389e7585 · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 226

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verified exact
arxiv_id, observed 2026-05-17T15:14:25.770198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T15:14:25.558878Z digest=sha256:7be6ba2f36e8c4d6a5e1628e17afa81e9362e4e0044239c12e366b5cf84b1cb6

Observation 089f2631-b865-4626-a358-b75ff4c7d8f8 · inbound

AgentXRay: White-Boxing Agentic Systems via Workflow Reconstruction cites this paper.

AgentXRay: White-Boxing Agentic Systems via Workflow Reconstruction RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 18

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verified exact
arxiv_id, observed 2026-05-16T07:40:43.994160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T07:38:37.818623Z digest=sha256:11b6d63fad4edf997eebd39ae10736e7125be2dee9e7c63cf78bfa1a2405e058

Observation 818cd3a5-0be2-4fe0-8961-28f0d86b9f23 · inbound

Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models cites this paper.

Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 48

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verified exact
arxiv_id, observed 2026-05-10T00:54:48.828981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T00:50:27.257888Z digest=sha256:8d7826ea7d503ad9aa4005c3d5e709545f67bf75780ff00980e360657728534f

Observation 76f01547-5f03-4136-94df-6e2caa4205af · inbound

Quantifying Divergence in Inter-LLM Communication Through API Retrieval and Ranking cites this paper.

Quantifying Divergence in Inter-LLM Communication Through API Retrieval and Ranking RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 10

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verified exact
arxiv_id, observed 2026-05-15T13:00:00.515443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T12:59:56.133502Z digest=sha256:29250bf321f233c5cd2463f8e4e13253dec15528d8362974be1a0bc99d020148

Observation 5832470a-0a21-4222-b5b3-bbe5d9acad78 · inbound

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval cites this paper.

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 43

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verified exact
arxiv_id, observed 2026-05-09T06:05:33.789565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T19:04:53.639217Z digest=sha256:c0b6b5999930ad7bf5d255f1e4d27835e33ac5c057aca4fc3b845f08f1488099

Observation 0332f97e-2b20-4eaa-99f2-8b98b4d2d7c7 · inbound

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval cites this paper.

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 44

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verified exact
arxiv_id, observed 2026-07-01T00:45:12.411096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-01T00:25:46.507401Z digest=sha256:af877b290dea6400b6c78cef36f496733b3aee58e95ff861a5e2fed23e4aa551

Observation 5ab05f29-a736-42a6-a8f2-f0d6798436de · inbound

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval cites this paper.

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 44

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unresolved
no resolver link, observed 2026-08-04T05:24:47.609419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T05:24:47.609419Z digest=sha256:d4a710da2060a95662581e2644249dd6a69b18f6bd3836d98bfb4085f29030b5

Observation 72e93131-b321-4753-97f8-2de0d658fd20 · inbound

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs cites this paper.

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 35

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verified exact
arxiv_id, observed 2026-05-11T03:40:53.385068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T03:40:04.692279Z digest=sha256:a503dc837bcd385efcb2cad8a49692b3ddf9057a7ea6fe9a98741e505fb16a7e

Observation 76c6aca3-5393-4b36-8d21-df4a6d7b596d · inbound

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs cites this paper.

Benchmarking EngGPT2-16B-A3B against Comparable Italian and International Open-source LLMs RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 35

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verified exact
arxiv_id, observed 2026-05-21T08:19:52.936599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T08:14:55.858466Z digest=sha256:f3955f1f049dabbb8b3881c4b9333e5a95d83032e7c50377acb6bd8b87aecc6d

Observation 0fe9ae0e-f87e-4cf7-b9a0-8af61ff7c8c6 · inbound

EvoMAS: Learning Execution-Time Workflows for Multi-Agent Systems cites this paper.

EvoMAS: Learning Execution-Time Workflows for Multi-Agent Systems RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 28

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verified exact
arxiv_id, observed 2026-05-12T02:31:16.932756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T02:29:55.683565Z digest=sha256:88096e5c35338b13730137f0ee23bdba99d85eab1bdd8535c2ad147d33bfc56a

Observation 3f88eda0-d2fe-4073-89fc-3c278f23e439 · inbound

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use cites this paper.

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 28

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arxiv_id, observed 2026-05-15T05:35:04.431294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T05:31:54.252816Z digest=sha256:bdaf159c8fb3c98271a9b3b8723d6b2ce2442affcc579a19cb433f100d8402f2

Observation 1d3b5fb4-ad73-44cf-9aa7-aeaff956fcc2 · inbound

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use cites this paper.

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 28

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arxiv_id, observed 2026-05-20T20:53:43.558853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T20:52:20.975459Z digest=sha256:85b728de1bc36e1ad061a473dd579aa410b9fe676dea5b969192e39aa1ab7bfc

Observation 107720c1-bbad-4f15-9e4d-d3404e694d1f · inbound

SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch cites this paper.

SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 18

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verified exact
arxiv_id, observed 2026-05-19T18:07:42.461481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T18:07:07.576466Z digest=sha256:48d87e77acd01a66fc4bad5cda90cb0c25e2ae10620654f0ef9e9adb5e1e3ae0

Observation 92ac9670-23e9-4b00-89db-7a25462fa09c · inbound

Skill-as-Pseudocode: Refactoring Skill Libraries to Pseudocode for LLM Agents cites this paper.

Skill-as-Pseudocode: Refactoring Skill Libraries to Pseudocode for LLM Agents RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 5

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metadata mismatch
arxiv_id, observed 2026-06-29T10:03:17.390260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T09:42:08.602387Z digest=sha256:281d516a8d38c5e8e3fe0a06703498020d2048e18123d6d3198c46f2fee6500e

Observation d233c628-49b9-45b6-8808-17f74e155582 · inbound

VESTA: Visual Exploration with Statistical Tool Agents cites this paper.

VESTA: Visual Exploration with Statistical Tool Agents RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 41

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arxiv_id, observed 2026-07-01T19:56:10.564410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T21:58:11.339217Z digest=sha256:15433a89517cf1380a1031657218ebc078b7c8f3415ecbefae1eac25d7e262f8

Observation 0e348fae-6da0-40e0-820d-7b6fc20e422d · inbound

Scaling Agentic Capabilities via Grounded Interaction Synthesis cites this paper.

Scaling Agentic Capabilities via Grounded Interaction Synthesis RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 29

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arxiv_id, observed 2026-06-28T15:12:18.678511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T15:04:54.247779Z digest=sha256:b76bc13d9bf675ddbf9bd91bd381285d4b86c4bee1c3e306772f0d4c87243b1c

Observation 0845bb69-b2d7-43f7-9061-8cac341ef350 · inbound

What makes a harness a harness: necessary and sufficient conditions for an agent harness cites this paper.

What makes a harness a harness: necessary and sufficient conditions for an agent harness RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-06-27T19:31:10.830466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T15:15:57.372858Z digest=sha256:ae42fc36aa531e14541ba6bffaa051e6998c259072ca64b265a6cf58ffdefd9c

Observation a27af5af-d43c-47a3-908f-74bde58c1899 · inbound

SkillJuror: Measuring How Agent Skill Organization Changes Runtime Behavior cites this paper.

SkillJuror: Measuring How Agent Skill Organization Changes Runtime Behavior RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:17:57.320186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:12:03.985549Z digest=sha256:f1e2b76e4746639c015102b4177876daeccb4d2fb13a46620db70c9702c6a286

Observation 7c22b30c-089f-435e-a277-b6bbda764d5c · inbound

MedCTA: A Benchmark for Clinical Tool Agents cites this paper.

MedCTA: A Benchmark for Clinical Tool Agents RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-03T09:07:48.015553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:32:01.387453Z digest=sha256:30a3b1160dd9ef0cd99eac6fbc67e8c9298637dccf7916cd4e35086eb185ca7e

Observation 3a5ec63e-71c3-463d-9425-394e7b076749 · inbound

SkillSelect-Serve: QoS-Aware Budgeted Skill Service Recommendation for LLM Agents cites this paper.

SkillSelect-Serve: QoS-Aware Budgeted Skill Service Recommendation for LLM Agents RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:47:27.097090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T23:44:38.766630Z digest=sha256:5ae7a9b034579e62647b7eba591e3d8ae5675c224ab1a6ff15d6aea116ce1de4

Observation 9b9eed6b-a834-42aa-8dfd-057ced8977f7 · inbound

PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models cites this paper.

PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-12T01:37:34.939545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:37:34.939545Z digest=sha256:2636c8b7f815d2ef612925e035c978874e261fe3227313ca2a91dd872dd17497

Observation 42e2a7e5-39a5-49ab-a73e-4ec9f4557eaf · inbound

Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding cites this paper.

Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-07-08T20:35:34.156077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-08T20:32:18.337262Z digest=sha256:c71054b2e77c64dd9ba9afb8018b2d9208c4cda95c3b07332da1be15ffbe37b6

Observation ea3bd02e-34c2-4365-b555-0d052189b35f · inbound

AgentSLABench: Evaluating and Benchmarking Agentic Systems Under Resource Constraints cites this paper.

AgentSLABench: Evaluating and Benchmarking Agentic Systems Under Resource Constraints RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T00:15:21.643387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:15:21.643387Z digest=sha256:22fab3d0e20700c5a73454e534884b89ea111a067d0c48f5743aaf3684c31c22

Observation 94052758-fead-4303-ac76-e11c32ba4095 · inbound

ToolLIFT: Lifting Tool-Specific Trajectories into Function-Level Graphs for Generalizable Tool Planning cites this paper.

ToolLIFT: Lifting Tool-Specific Trajectories into Function-Level Graphs for Generalizable Tool Planning RestGPT: Connecting Large Language Models with Real-World RESTful APIs

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T18:36:22.541699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:36:22.541699Z digest=sha256:7efc843643b1f56716c5b2910db3be679b28607108ed4f288b4d0d04cd8a5a8c