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Paper Citation Record · LEDGER

Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2403.19578.

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

pith.paper-citation-record.v1
2403.19578 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:25:26.735908Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:49:51.172837Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • 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 92a1b9ef-5d96-4923-b432-5df16d034e62 · inbound

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation cites this paper.

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 123

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:25:18.034574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T08:25:17.847571Z digest=sha256:908810e5aa0a10c612532c2286eb1d366e12407baecabd31050282dd7e063517

Observation 3abbaead-ece3-475c-a8b2-95f6db3e1e9f · inbound

Instant Policy: In-Context Imitation Learning via Graph Diffusion cites this paper.

Instant Policy: In-Context Imitation Learning via Graph Diffusion Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T17:25:26.735908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:25:26.735908Z digest=sha256:5abae1716e04878cada75d16c0c75a6fe1ce34af9e904df7689c328eb504f9b7

Observation fa4a1916-3b54-40ba-b287-16c0ed1537ae · inbound

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model cites this paper.

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T18:07:55.032757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:07:55.032757Z digest=sha256:69fdf750efeabc20698fe5ef7fb52693d880c8f00ac91fd3a8f3959f78462737

Observation d9d1ea1f-a5bf-4b98-99a1-ec66143d80d8 · inbound

TalkWithMachines: Enhancing Human-Robot Interaction for Interpretable Industrial Robotics Through Large/Vision Language Models cites this paper.

TalkWithMachines: Enhancing Human-Robot Interaction for Interpretable Industrial Robotics Through Large/Vision Language Models Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T11:27:19.395413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:27:19.395413Z digest=sha256:81e7f0e70bbd673bdf5f4f36ffed74ab5c8de164f2e4f33fde78d9b5125aaf8c

Observation a83dc631-d7b4-4afe-ab66-230b13764f82 · inbound

A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards cites this paper.

A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-08T00:03:16.383871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:03:16.383871Z digest=sha256:eaeca4ceaafb5400fb7f52197128a15e8ae8a0b17a8b27e560ad7ac226b83571

Observation 79b5b126-676e-4fbf-a257-1314b7a161f7 · inbound

Wavelet Policy: Imitation Learning in the Scale Domain with World Prior Memory cites this paper.

Wavelet Policy: Imitation Learning in the Scale Domain with World Prior Memory Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-22T20:52:06.326754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T20:49:27.459047Z digest=sha256:122f5501126b0fb1bce4eae85f2fe1cc04136863121bdbc1a8c13e0814ee052f

Observation 164d21b7-e6a1-4632-ad6e-fbf44034b75d · inbound

J-PARSE: Jacobian-based Projection Algorithm for Resolving Singularities Effectively in Inverse Kinematic Control of Serial Manipulators cites this paper.

J-PARSE: Jacobian-based Projection Algorithm for Resolving Singularities Effectively in Inverse Kinematic Control of Serial Manipulators Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-22T18:31:55.855567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T18:28:26.116236Z digest=sha256:a34b778f805267f55650278054bad15b30e4a60e2168ad32987dfb2c952498dc

Observation e045032d-9dc2-4140-b3ae-b288f95f56a3 · inbound

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation cites this paper.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:40.573765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:40.573765Z digest=sha256:563191639766cece6956b5976f05291a199592680850553cdeeefadb2f42630b

Observation ffef1f68-1225-406c-a3ed-e42db8dbfda4 · inbound

CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity cites this paper.

CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T23:43:09.225030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:43:09.225030Z digest=sha256:df64a72006a19327e23141f52a2c92247bc5b2cead8d071e34c2903bfa5d4f45

Observation 164e9529-384f-4a20-9e0e-2fb020771b4b · inbound

Knowledge-Driven Imitation Learning: Enabling Generalization Across Diverse Conditions cites this paper.

Knowledge-Driven Imitation Learning: Enabling Generalization Across Diverse Conditions Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T22:40:08.579802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:40:08.579802Z digest=sha256:087feb3e27aef2212b2b56464de416933a543ec8d0734c48f91836209e482412

Observation 49ca3dd1-337e-4860-8823-47335f20c2c8 · inbound

VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers cites this paper.

VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T21:07:22.903469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:07:22.903469Z digest=sha256:23b499ce421dd65896bf9118fb3f009689aafd1e6caa4f1da51c843c8cc00688

Observation d1f3c36e-f9f0-42d6-9f23-d465ce58dc57 · inbound

MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos cites this paper.

MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T18:51:36.007414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:51:36.007414Z digest=sha256:d9a2a957389ebb39cd03a00eea02702d78d4ccc191112db8bdec79af5999b3d6

Observation 17325118-c0b2-4186-8ea3-7ae7456aa702 · inbound

RoboSSM: Scalable In-context Imitation Learning via State-Space Models cites this paper.

RoboSSM: Scalable In-context Imitation Learning via State-Space Models Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T15:34:52.267147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:34:52.267147Z digest=sha256:b1d3800964d9ff8da5eeb4290da6c14f902fc8944c069c952bf89d1ec223188d

Observation e40d48be-be5c-4a31-8638-8c6635249708 · inbound

A Hierarchical Spatiotemporal Action Tokenizer for In-Context Imitation Learning in Robotics cites this paper.

A Hierarchical Spatiotemporal Action Tokenizer for In-Context Imitation Learning in Robotics Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:49:56.293166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T10:47:05.008564Z digest=sha256:0adddfae6bec5f1831f5e6e1e219cfe47e29474367e6db354c8583173957f448

Observation 308b254c-7cb3-4f64-abdb-bf3c6b76065a · inbound

A Hierarchical Spatiotemporal Action Tokenizer for In-Context Imitation Learning in Robotics cites this paper.

A Hierarchical Spatiotemporal Action Tokenizer for In-Context Imitation Learning in Robotics Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:27:41.383859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T17:24:01.180062Z digest=sha256:270e06dce7bb52f82c8f43178d35add3aaba9f0d2e86c2328dfd54e7949752c9

Observation 7863bfb3-f75d-4aa5-82ae-c3771b21427b · inbound

Decompose and Recompose: Reasoning New Skills from Existing Abilities for Cross-Task Robotic Manipulation cites this paper.

Decompose and Recompose: Reasoning New Skills from Existing Abilities for Cross-Task Robotic Manipulation Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:56:06.837208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-09T14:30:00.890117Z digest=sha256:fcf1473fbe8eb0d0373cd244e6664214367c507b0ac037c8a16af94a8a4eaecb

Observation 0b8c0635-a346-4e03-9e2e-a4a5c04bfc65 · inbound

Learning of Robot Safety Policies via Adversarial Synthetic Scenarios cites this paper.

Learning of Robot Safety Policies via Adversarial Synthetic Scenarios Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:36:58.968726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T01:12:25.956015Z digest=sha256:412467b4d24c6924a7514ec9f97be366e64b8a9c5523c217869debf1f56eac53

Observation c086a9b8-fb6d-4ad8-82cc-716495eea8bd · inbound

SynthICL: Scalable In-context Imitation Learning with Synthetic Data cites this paper.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:57:25.856407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:4f54edabede6fcc0a77d203f26fdd9af4c9d986868f0d04ac4d0385b4468fc68

Observation 48b48512-0b06-4b07-8157-30bcbeb8ca0f · inbound

Improving Vision-Language-Action Model Fine-Tuning with Structured Stage and Keyframe Supervision cites this paper.

Improving Vision-Language-Action Model Fine-Tuning with Structured Stage and Keyframe Supervision Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:49:51.174607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T04:57:13.894126Z digest=sha256:5a96d60d90ef6de4f27d8da101e484f601ab33a5e4fafdc781006aee12d52977

Observation 2a863e97-9df3-43cb-abb7-df2dad263c7d · inbound

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization cites this paper.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-30T15:27:16.634787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T15:27:16.634787Z digest=sha256:c69b6421f16a45989207662a9efd566d3dfbdf268a95982e0f0a8f1c064ae0ad