Pith. sign in

Paper Citation Record · LEDGER

ChatGPT for Robotics: Design Principles and Model Abilities

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2306.17582.

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

pith.paper-citation-record.v1
2306.17582 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:36:46.960733Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T07:26:54.433813Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8a03f012-58b0-4cc4-add2-1277fdccff27 · inbound

A Survey on Vision-Language-Action Models for Embodied AI cites this paper.

A Survey on Vision-Language-Action Models for Embodied AI ChatGPT for Robotics: Design Principles and Model Abilities

Reference 151

Resolution
verified exact
arxiv_id, observed 2026-05-24T01:25:54.396157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-24T01:25:10.150459Z digest=sha256:3bfa24832ef5943923756034d166e9764b0e9b57bc6f5c15fda947faa8ccbb80

Observation cbe56b3e-4bca-4619-8965-da5ec86f36c3 · inbound

Large Models in Dialogue for Active Perception and Anomaly Detection cites this paper.

Large Models in Dialogue for Active Perception and Anomaly Detection ChatGPT for Robotics: Design Principles and Model Abilities

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T13:36:46.960733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:36:46.960733Z digest=sha256:ad6a299b50e3fc6f859ed731d23e63fb7fb27af7589cda48315ff3fab5b9019a

Observation 49f7fd78-06c4-4289-a5b6-5a62fb446977 · inbound

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains cites this paper.

RDMM: Fine-Tuned LLM Models for On-Device Robotic Decision Making with Enhanced Contextual Awareness in Specific Domains ChatGPT for Robotics: Design Principles and Model Abilities

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T05:48:45.895680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:48:45.895680Z digest=sha256:2d030f03e67586e960a85493517844bdaf18a59e3a897f2ebc71fd400640c8fe

Observation 23e619f6-4d90-487e-b6fa-119a0a730875 · inbound

LA-RCS: LLM-Agent-Based Robot Control System cites this paper.

LA-RCS: LLM-Agent-Based Robot Control System ChatGPT for Robotics: Design Principles and Model Abilities

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:08.586369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:08.586369Z digest=sha256:56ab3c346208110456ae1800c8d30eeeb841748620f4f16e78e9efecb48cda5b

Observation ed30fb58-ae09-437d-88f1-54a29a92197e · inbound

Adversarial Attacks on Robotic Vision Language Action Models cites this paper.

Adversarial Attacks on Robotic Vision Language Action Models ChatGPT for Robotics: Design Principles and Model Abilities

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T11:11:40.383134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:40.383134Z digest=sha256:8a59f448dde3f958d4bc76d5191fc5d75871dd68d9ca93d2793c1800c0da92a6

Observation b2f17336-620b-4f54-bd3b-045a4c674669 · inbound

An LLM-powered Natural-to-Robotic Language Translation Framework with Correctness Guarantees cites this paper.

An LLM-powered Natural-to-Robotic Language Translation Framework with Correctness Guarantees ChatGPT for Robotics: Design Principles and Model Abilities

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T16:00:52.868896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:00:52.868896Z digest=sha256:5bc8940d7e98352d1204e48a44d4ccf7fd8c9d2dff627b8e2410a60c36bcdf2e

Observation 5d3f40ee-3a06-4385-b79c-98f2ad5d58d6 · inbound

A Collaborative Reasoning Framework for Anomaly Diagnostics in Underwater Robotics cites this paper.

A Collaborative Reasoning Framework for Anomaly Diagnostics in Underwater Robotics ChatGPT for Robotics: Design Principles and Model Abilities

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T00:03:22.739408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:03:22.739408Z digest=sha256:763a1194a0abb6d003121b6f61df90f1c6a9cf86140daaa8e7526595e7a15d8a

Observation 3afe8fec-0c82-4f39-80f1-c60df7ec1d71 · inbound

Real2Sim via Active Perception with Behavior Trees Automatically Generated by VLMs cites this paper.

Real2Sim via Active Perception with Behavior Trees Automatically Generated by VLMs ChatGPT for Robotics: Design Principles and Model Abilities

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-21T15:10:16.658017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-21T15:07:54.930273Z digest=sha256:456a610659de13fab474f5e32b83c4a6b72a6b9b07eaeafdd60886a3ed9a43ec

Observation 2cb7e4df-7b1b-425f-9758-09e5ffa7032e · inbound

Precise Robot Command Understanding Using Grammar-Constrained Large Language Models cites this paper.

Precise Robot Command Understanding Using Grammar-Constrained Large Language Models ChatGPT for Robotics: Design Principles and Model Abilities

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-13T10:39:48.868810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:39:48.868810Z digest=sha256:7d6124beb6960dd84f8efd43e3aa69106b56f5a0d7abb7ccb7bc9504e517986c

Observation c12190b3-3a8b-4893-b4eb-71b4a28d16f5 · inbound

BioProVLA-Agent: An Affordable, Protocol-Driven, Vision-Enhanced VLA-Enabled Embodied Multi-Agent System with Closed-Loop-Capable Reasoning for Biological Laboratory Manipulation cites this paper.

BioProVLA-Agent: An Affordable, Protocol-Driven, Vision-Enhanced VLA-Enabled Embodied Multi-Agent System with Closed-Loop-Capable Reasoning for Biological Laboratory Manipulation ChatGPT for Robotics: Design Principles and Model Abilities

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:20:59.290892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:28:14.142842Z digest=sha256:fd56b0295b1787b3d3cd3dbbc1b04409fcf72cb007e52f632666619b5df5705e

Observation 34975c6b-0439-499c-8311-d49d0df35cf4 · inbound

BioProVLA-Agent: An Affordable, Protocol-Driven, Vision-Enhanced VLA-Enabled Embodied Multi-Agent System with Closed-Loop-Capable Reasoning for Biological Laboratory Manipulation cites this paper.

BioProVLA-Agent: An Affordable, Protocol-Driven, Vision-Enhanced VLA-Enabled Embodied Multi-Agent System with Closed-Loop-Capable Reasoning for Biological Laboratory Manipulation ChatGPT for Robotics: Design Principles and Model Abilities

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-30T23:35:07.938654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T23:26:01.191863Z digest=sha256:165db85fef69d94b46ecd7e45e081a73b40e8c1c680d360631ba8ed6e9fd1e38

Observation 6a535f13-939f-455f-b924-37af3a37735d · inbound

Sequential Planning via Anchored Robotic Keypoints cites this paper.

Sequential Planning via Anchored Robotic Keypoints ChatGPT for Robotics: Design Principles and Model Abilities

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-30T05:04:20.364526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T04:59:12.363425Z digest=sha256:5030ac56bbe8e79c00fb16a40197de5ca2ac6c8d3fbcba5ad961b9adac751481

Observation 5f53bbcf-63f6-440a-9b2a-e858805866fa · inbound

Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents cites this paper.

Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents ChatGPT for Robotics: Design Principles and Model Abilities

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-07-10T07:26:54.435087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-10T07:18:57.823444Z digest=sha256:3331be60d958e0ba1a698fc64b46b19d5c26fa142421b1a5d201e3857a0cd588

Observation 7276f860-cacf-467d-ab8f-bcd571eee7ad · inbound

Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents cites this paper.

Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents ChatGPT for Robotics: Design Principles and Model Abilities

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-02T07:56:56.624152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:56:56.624152Z digest=sha256:0ae80afd9065e01b845b5c30a1cf217069c8d0617450fafc07b8ab85c9de39f9

Observation 822697d5-0ea7-48f8-b589-574c9e21f361 · 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 ChatGPT for Robotics: Design Principles and Model Abilities

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T16:35:13.804368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:35:13.804368Z digest=sha256:772b52c4118e0a629aaf291ed77b353240ccc876ca22fb935ddd84ef369bdb1e

Observation 495b629b-05c9-48f1-a3a0-40625f5d160a · inbound

From Grasping to Speaking: Generative AI-Based Environment-Grounded VR Communication Training for Autistic Individuals cites this paper.

From Grasping to Speaking: Generative AI-Based Environment-Grounded VR Communication Training for Autistic Individuals ChatGPT for Robotics: Design Principles and Model Abilities

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-01T06:47:58.058767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:47:58.058767Z digest=sha256:9ed123c7a830de157ccda2b30ab7defa71cf1d95c372799e1cae1bf38970ecd7

Observation 3eec112e-e799-437e-8461-8d8f9409a8fd · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills ChatGPT for Robotics: Design Principles and Model Abilities

Reference 244

Resolution
unresolved
no resolver link, observed 2026-08-04T19:45:35.266795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:45:35.266795Z digest=sha256:d6bb47131d6cf907f90e572b969e6f26d79810d85225a10d0946b38f5281dcd9