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Paper Citation Record · LEDGER

AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2306.08640.

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

pith.paper-citation-record.v1
2306.08640 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:54:39.297648Z

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

19
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 a9024f22-02c9-48a3-b888-5300bd4bc195 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn

Reference 215

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:32:45.585587Z

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=sha256:2997407bfae1f3111aeba97340b882824c20266c207f595ff5dc9db5f5ae7bde

Observation a6e45509-0941-454d-ac5c-631f8a955b11 · inbound

GAIA: a benchmark for General AI Assistants cites this paper.

GAIA: a benchmark for General AI Assistants AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:46:03.553745Z

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=2026-05-12T15:46:03.247029Z digest=sha256:9a15401e251f6768e0b4801454d16482af366e12e681c34948f32eba297bdb6a

Observation ca7a76e4-8a62-44d9-87d0-cce56ebf2776 · inbound

LLM Pretraining with Continuous Concepts cites this paper.

LLM Pretraining with Continuous Concepts AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-08T04:54:39.297648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:54:39.297648Z digest=sha256:1f46a218713df200341f17af4d4debea923508f131f16fa30b8a53aafac3e201

Observation c2cf7928-cc31-438f-aaec-99f8b02fdae1 · inbound

Efficiently Enhancing General Agents With Hierarchical-categorical Memory cites this paper.

Efficiently Enhancing General Agents With Hierarchical-categorical Memory AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T13:21:28.195332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:21:28.195332Z digest=sha256:87b66123ea8494fc602f879364c645af44cd6b478eef8b23ed503b9f76a5a840

Observation 23008a92-f8cb-432f-9d07-6c2380e67901 · inbound

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications cites this paper.

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:15.228785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:15.228785Z digest=sha256:7ce040e7c1d29841a0a243614d368745135ee085411ee8c7f8e0d7cb4af701a4

Observation b764f13b-cc2a-4907-983f-74e1c22f8fe0 · inbound

MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning cites this paper.

MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T12:18:33.353518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:18:33.353518Z digest=sha256:c53cb6da9393002050ee77d215eab2baaff65bc012c32bafce8daceb184e92ff

Observation 557233e6-9416-4d5a-9aef-2d416a4e74d1 · inbound

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn

Reference 257

Resolution
unresolved
no resolver link, observed 2026-08-05T20:29:08.748686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:29:08.748686Z digest=sha256:54ae8d15ee8bf29c62116091777ada6b748608f1cf3792f3a2c6edfd1731c915

Observation 9060281b-6a1c-497d-b266-cc875f44cdbc · inbound

Personalize Your Large Vision-language Models With In-context Prompt Tuning cites this paper.

Personalize Your Large Vision-language Models With In-context Prompt Tuning AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:02:46.289378Z

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=2026-06-28T22:59:55.055737Z digest=sha256:667e9eca8b16e339ebb1a0eb5aa6dd55de006de03c69708801a2405d200ed693

Observation 34492b33-da7b-44a1-a518-10a89893e27e · inbound

Personalize Your Large Vision-language Models With In-context Prompt Tuning cites this paper.

Personalize Your Large Vision-language Models With In-context Prompt Tuning AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T12:47:37.161446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:47:37.161446Z digest=sha256:1b462f266cab939ef642c42e3d214fa5b87eceaf8ce5f7083126abfca7fc72d6

Observation 7276714c-5ba5-46ec-a6af-df1308717086 · inbound

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory cites this paper.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-14T12:26:27.446079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T12:26:27.446079Z digest=sha256:a1f975db5803c4a248400a923b03532a3104bdcb15a5d0d9435e0378a69a6fe3

Observation af798b63-03f9-4cef-a0c4-137ebb2aa477 · inbound

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory cites this paper.

ABot-AgentOS: A General Robotic Agent OS with Lifelong Multi-modal Memory AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T07:21:26.048698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:21:26.048698Z digest=sha256:29e17ad2bc8f519acaa719f1c479fabfca9af9d8672c4fcf0f8e0ec762ec30c9

Observation ee8420b1-643f-44e0-bd54-4f48be49a65d · inbound

Do Agents Dream of False Memories? Black-box Visual Attacks on Long-term Memory in Multimodal AI Agents cites this paper.

Do Agents Dream of False Memories? Black-box Visual Attacks on Long-term Memory in Multimodal AI Agents AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T22:43:53.721865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:43:53.721865Z digest=sha256:9b46f9c7b4f805bb6350b379e9fb90047d5a2099785d9230e6b8746d7f4f6e9a