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Paper Citation Record · LEDGER

TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2303.16434.

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

pith.paper-citation-record.v1
2303.16434 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:05:02.572722Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation da151480-a189-4469-b097-b10dbc9d831b · inbound

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

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:51:41.229535Z

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=pdf_text observed=2026-05-15T20:51:41.198767Z digest=sha256:f21ecd1936557604365b391411afc8dded8380f37e07a791e2f0eded45859862

Observation 93260ef7-5c24-485d-93a9-050fee0c7104 · inbound

VideoChat: Chat-Centric Video Understanding cites this paper.

VideoChat: Chat-Centric Video Understanding TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:30:00.591327Z

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=pdf_text observed=2026-05-13T23:30:00.457974Z digest=sha256:4c05ead2dbf5bc83fc45b40b791e9d5f7a8ef9bf2f639b2c4d8b87052a03d816

Observation e7714dc8-6229-4d35-9a53-a0bf5e0c9a48 · inbound

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

Gorilla: Large Language Model Connected with Massive APIs TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:22:17.371932Z

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=pdf_text observed=2026-05-11T23:22:16.879418Z digest=sha256:2c06f223af4329561835e260272d551ed632212fab53596ba357e4ab06704d4b

Observation 73dea35b-2349-4797-887d-90c2423423ca · inbound

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

ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:15:55.613294Z

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=pdf_text observed=2026-05-15T18:15:55.525596Z digest=sha256:afc97dc8a436fb8dd14c857fd361da0fee64744334c174e1d2428da3270d473c

Observation 2b1192e3-b30b-4462-96f1-e53b365ff81b · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 225

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:28:39.009221Z

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=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:2e136da8ba91ac38ff19f301216af79796132845a7708d4279347eea4b08606d

Observation 1426fcc7-a89e-4aa6-88d0-c4d91fad8c1f · inbound

The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision) cites this paper.

The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision) TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-15T23:26:06.459449Z

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=pdf_text observed=2026-05-15T23:26:06.183574Z digest=sha256:23cdee601bdc5705c20b57e7e24ba8cfb5153c99531f31bf0a2cbdeb69e96c9a

Observation 09e8137a-d235-42f4-b8e4-c359ff39c8e7 · inbound

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads cites this paper.

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 101

Resolution
verified exact
arxiv_id, observed 2026-05-13T10:36:18.123769Z

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=2026-05-13T10:36:17.764761Z digest=sha256:8036d3a72f63ef49f0fe6cb5d41e71da0457ea2f4a506f124aec1d893aa71353

Observation d191450d-0210-49d8-a55c-b8d0560ac3ab · inbound

Integrating External Tools with Large Language Models to Improve Accuracy cites this paper.

Integrating External Tools with Large Language Models to Improve Accuracy TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:02.572722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:02.572722Z digest=sha256:afdf834aa52cc73440787441925a17e20c1d66611a30080779705ce5efd3afd5

Observation b921e120-8448-4281-9570-6181de3c7208 · inbound

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain cites this paper.

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:18.197913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:38:18.197913Z digest=sha256:9c27370aee8e6aa93191d46fcfbe08ec9c8c7d747aa6500e61b526d33b261f75

Observation 8117a37b-bf54-4c81-b572-b48ca36c66ee · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 209

Resolution
verified exact
arxiv_id, observed 2026-05-17T15:14:25.732274Z

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=pdf_text observed=2026-05-17T15:14:25.558878Z digest=sha256:eba38b185600c269e3e835b350d49439e8e10e001b9589c24db2797a2a8e9631

Observation 3d4c34a4-8ad1-420b-be0f-093f0c56cad5 · inbound

TraceFix: Repairing Agent Coordination Protocols with TLA+ Counterexamples cites this paper.

TraceFix: Repairing Agent Coordination Protocols with TLA+ Counterexamples TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:30:55.977489Z

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=pdf_text observed=2026-05-11T03:27:03.589336Z digest=sha256:150abe4b7ddd53859ee120e424750bdf88f5a8060a3469aa1cc210ee2e87a72d

Observation 24b465d5-c8be-461a-8129-7816ed77d266 · inbound

Agent-First Tool API: A Semantic Interface Paradigm for Enterprise AI Agent Systems cites this paper.

Agent-First Tool API: A Semantic Interface Paradigm for Enterprise AI Agent Systems TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:21:27.837118Z

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=pdf_text observed=2026-05-12T04:19:32.031454Z digest=sha256:cbf2b11c5745a72d11af12a5d3d272cf713d979825bbd054ee28830803f789a5

Observation c42d8109-0681-4610-a439-89c548173e5e · inbound

An Empirical Study of Privacy Leakage Chains via Prompt Injection in Black-Box Chatbot Environments cites this paper.

An Empirical Study of Privacy Leakage Chains via Prompt Injection in Black-Box Chatbot Environments TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:58:10.821228Z

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=pdf_text observed=2026-05-20T09:58:05.349147Z digest=sha256:9e22fdb3b07ed37793967ebec8750c297b193b0fc18d0a34bb1fa98ba9eeece3

Observation a8f4eeec-2468-4c09-a4ef-fc1259516281 · inbound

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery cites this paper.

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-14T06:48:32.645976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:48:32.645976Z digest=sha256:d587dcbd0e540a3ff2c17078503bf4b0f968ac916e65c2bfc4b6824aafd7721d

Observation 7b66495e-4180-4465-8acd-9bc424b73a50 · inbound

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling cites this paper.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 127

Resolution
unresolved
no resolver link, observed 2026-08-02T09:51:03.572363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:51:03.572363Z digest=sha256:dddf298a1cd0acf2bdaac692ef1e89c9ae74ead8d55d02ffca034374fa3c490d

Observation 964d61b5-a9e6-477e-978d-bb4b9f578a9d · inbound

RT-SHCUA: Real-Time Self-Hosted Computer-Use Agent for UAV Control cites this paper.

RT-SHCUA: Real-Time Self-Hosted Computer-Use Agent for UAV Control TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T16:35:15.120607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:35:15.120607Z digest=sha256:ecfe98339eebedabe7beba5d0ce018fa73984632a5117e96d41b9e843f4f618e