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Paper Citation Record · LEDGER

SynthICL: Scalable In-context Imitation Learning with Synthetic Data

As of 7 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2606.08154.

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

pith.paper-citation-record.v1
2606.08154 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T19:23:45.402022Z

measured 38 of 38 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

  • verified exact16
  • verified fuzzy0
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d8754717-19b1-4088-ba00-8c5c3f60e225 · outbound

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

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Instant Policy: In-Context Imitation Learning via Graph Diffusion

Reference 1

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arxiv_id, observed 2026-07-02T21:57:25.838127Z

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=2026-06-27T19:23:45.402022Z digest=sha256:746b48af773068ab68f0fdafca7164289437907d75b1d84760061414a5aa5364

Observation 63fcc6f6-d18c-4590-bc84-a30635edd6f2 · outbound

This paper cites an unresolved cited work.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Unresolved cited work

Reference 2

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:a5e1286ee8194da3474e40b0e8b41548cb70dc9e26862db48f9c93afaacd79e5

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

This paper cites Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics.

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

Reference 3

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

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

source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:66a093df044cfce30aedec7870e35dd4577e6d8c429a9834b2ce394cb4c0a6d9

Observation 05696287-241a-4f29-950d-38cd0a6ab2c2 · outbound

This paper cites Intelligence.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Intelligence

Reference 4

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:bb6f0fa9a01824bea01108b4972d319ce39b42ffb757380df91e45abecf39ad1

Observation d8cf4e1d-37e4-488c-9f3e-3ec939b7523c · outbound

This paper cites an unresolved cited work.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Unresolved cited work

Reference 5

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:f1d0e6e1ba7e1d26812372efc75279ef92bc9da2b0eb5c70859199ef21866f05

Observation 9f7dde48-abb9-43b8-9f46-bf1af76124ba · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data OpenVLA: An Open-Source Vision-Language-Action Model

Reference 6

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local_arxiv, observed 2026-07-02T21:57:25.883075Z

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

source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:56e111b261dd39485af36addabffd510e5a0fe4d3f805ae25bf9f25023a54018

Observation 523a4e8e-e418-4781-898f-7f6f6ca1fddd · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Octo: An Open-Source Generalist Robot Policy

Reference 7

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local_arxiv, observed 2026-07-02T21:57:25.877576Z

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:140c68ba630095ef70a6beb1f9d3e1bbbf0d925d61363128d0cbaca0415ed59b

Observation 6dd66034-f8ad-4778-9593-c0c2b758e45a · outbound

This paper cites ICLR: In-Context Imitation Learning with Visual Reasoning.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data ICLR: In-Context Imitation Learning with Visual Reasoning

Reference 8

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arxiv_id, observed 2026-07-21T01:19:54.117323Z

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:322c14ca9194df628e70f5c404573e56a069085d79da8070ae052017f8a79d9b

Observation 16737e33-a6c9-47bb-840c-0d7c614fff67 · outbound

This paper cites Isaac Sim.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Isaac Sim

Reference 9

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:18056b44c936de9d999fa11f387c8bc0143b1b4765fbd5def258216fb9042b99

Observation 3df38834-05a4-4376-9021-c9d268c90bf0 · outbound

This paper cites Flow Matching for Generative Modeling.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Flow Matching for Generative Modeling

Reference 10

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:f754a24a33e23e8c12010d128b59ddc35e3c749b6b55dd583a0506cd6b26de22

Observation ac8e33bc-4063-413a-b73b-c9474fbe6617 · outbound

This paper cites Rectified Flow: A Marginal Preserving Approach to Optimal Transport.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Rectified Flow: A Marginal Preserving Approach to Optimal Transport

Reference 11

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:bb2c603f6ffb176b5d5dc357fc03ed4223b59c6d8c1048f0fcba80e078d89fb3

Observation faf37212-6929-4ebd-a420-4eb2d174d8c9 · outbound

This paper cites Hussein, M.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Hussein, M

Reference 12

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:47a6231edeafdbaa846457e1d3f6296b9d49c42b847b56048d516166c954003c

Observation 547c140c-ba58-41e1-83fb-1ce11a30a697 · outbound

This paper cites an unresolved cited work.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Unresolved cited work

Reference 13

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:7b08adda665ca1f646376e09fe473f51630891b8bc6c68c515684ab448c467ec

Observation 0a53bb77-cd83-411b-add9-afd8652bcda4 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 14

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local_arxiv, observed 2026-07-02T21:57:25.859502Z

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:1564fa4936e2e85c3cfc400598cfc0e1a747a3ed311ba03827fad023536281fd

Observation 9b0b24e8-ea27-4ed0-90f7-c5fe33799e2f · outbound

This paper cites Few-Shot In-Context Imitation Learning via Implicit Graph Alignment.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Few-Shot In-Context Imitation Learning via Implicit Graph Alignment

Reference 15

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arxiv_id, observed 2026-07-02T21:57:25.845456Z

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

source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:d4b7f58f28691637915fa0d6416c1515a2e1903b459f900417096f9b1de004bb

Observation a5ae3bd1-d1c1-412e-9acc-fa82ad88fd8c · outbound

This paper cites Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers

Reference 16

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arxiv_id, observed 2026-07-02T21:57:25.875163Z

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

source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:f84b5d4737664de5b6c693820f6296f716c62136348b3011993b3653b5c37cae

Observation dde29293-613c-4376-80e3-af76a85b9558 · outbound

This paper cites One-Shot Dual-Arm Imitation Learning.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data One-Shot Dual-Arm Imitation Learning

Reference 17

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arxiv_id, observed 2026-07-02T21:57:25.867270Z

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

source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:9e9ef9b058c493d15174cda0c246d39021de851c72a57c0bb02befa362b92372

Observation e515e617-e1b1-4d74-8f53-bf0254e20edc · outbound

This paper cites Sharma, D.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Sharma, D

Reference 18

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:62e455cd5132637a218c04fc936dc3dc44d38922993f9629372262327aad09b7

Observation 902efdf2-1067-42a3-aabc-2c418c029bcb · outbound

This paper cites an unresolved cited work.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Unresolved cited work

Reference 19

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:edbad0a1d7a8f5df2c1bbbf17111ac542dccb7653a4cb94cd76088c8aa4c6147

Observation 7875d4cf-a164-456a-8b86-3e4a2a1548b7 · outbound

This paper cites Pertsch, O.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Pertsch, O

Reference 20

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:bbc23b66c348b3331fca0e823c7fb687b15b4f1d7fe9748c340b9adf3b94ee7e

Observation 8c1cbf45-3d8d-41e7-9db6-6365a16f1566 · outbound

This paper cites an unresolved cited work.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Unresolved cited work

Reference 21

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:3de13a1be3090cb789ebd82c9a5fc10c63274728b18c157f019911e93f2e9001

Observation 3f403d4b-fd29-4c09-95cb-5f8d24abcb06 · outbound

This paper cites Lynch, M.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Lynch, M

Reference 22

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:048c3207124a3e3dd95db45c05e4fa3eeab6a77f01e570595ed1d2ad0e5dbaca

Observation 8a588cd9-833a-4c67-b291-e6c146500bbb · outbound

This paper cites an unresolved cited work.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Unresolved cited work

Reference 23

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:c792ecec94edd22d1cbeb2ce2cc59d5417620443e18cac7e398a25645060e961

Observation e80578e8-6be7-40fd-b102-f2fea4e50beb · outbound

This paper cites Kang and Y .-L.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Kang and Y .-L

Reference 24

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:14ac5c40020a0a85f274f262e08cb63cd6938b532044fda4fcce2161b97282e7

Observation de4b3a93-a0c3-40a2-9ea4-b408678901e3 · outbound

This paper cites GHIL-Glue: Hierarchical Control with Filtered Subgoal Images.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data GHIL-Glue: Hierarchical Control with Filtered Subgoal Images

Reference 25

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arxiv_id, observed 2026-07-02T21:57:25.864724Z

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

source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:bb3ab28536a1f94b6e6fe881595dc57753ecbb6b5a2e06538b2af6d3ea42bfcd

Observation 8f8e08e9-8d82-4e8c-907c-20e0afe049b3 · outbound

This paper cites Dreamvla: a vision-language-action model dreamed with comprehen- sive world knowledge.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Dreamvla: a vision-language-action model dreamed with comprehen- sive world knowledge

Reference 26

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

source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:84b25abba6d6b0c3238fcbc024234fb9fdf9e07498a2a3827981b2f85e7331e2

Observation 699f0f76-9874-4511-ae7c-c5666c6d3ca7 · outbound

This paper cites an unresolved cited work.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Unresolved cited work

Reference 27

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:94f24eadb151c47642886bfe60b89707119f9d4737ecc3552657100268556d49

Observation b98e04bd-b988-4745-bfcf-addfd3961452 · outbound

This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 28

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local_arxiv, observed 2026-07-02T21:57:25.850935Z

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

source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:dc10b23764cdece8e9871b52222dde633302cae9769a26fbc0364ee2f1f908cf

Observation f9541dbb-5a6c-482b-a608-1f5734e00236 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data ShapeNet: An Information-Rich 3D Model Repository

Reference 29

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local_arxiv, observed 2026-07-02T21:57:25.840480Z

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

source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:c26960f221e65a820dd1ec4dec78d372951e66ef61ec3f54680c990200511443

Observation 2ccf5a1f-dcae-43c2-8558-d6b3850e9a49 · outbound

This paper cites Cimpoi, S.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Cimpoi, S

Reference 30

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:391ea0640646af295f37b00f4837701ce357a0c1d926e512913ae444cdf92d90

Observation 0c1c634b-fd82-4ee2-b5d7-3a696e3429f5 · outbound

This paper cites Coumans and Y.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Coumans and Y

Reference 31

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:5d329302f3b3451c2a9c47ea8a09044b79aa179dcb473dd2a8bd7c6b4977f8df

Observation cacb8d7f-cffb-4a1d-9470-b5fbbff9d46d · outbound

This paper cites an unresolved cited work.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Unresolved cited work

Reference 32

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:bbeebf82c82ddfd561265ce7cc234e478bf018b728e59f26cdaa8b5911fd9a79

Observation 0b36d415-6405-4ebe-b252-f7ebb9076461 · outbound

This paper cites an unresolved cited work.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Unresolved cited work

Reference 33

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:0ba41acc8402f24223c865c782872ea87f0a3c2b40f211783a9e85960834cecd

Observation c8cc8fb6-d345-4679-afcd-52739bb19b2f · outbound

This paper cites Latte: Latent Diffusion Transformer for Video Generation.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Latte: Latent Diffusion Transformer for Video Generation

Reference 34

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local_arxiv, observed 2026-07-02T21:57:25.880282Z

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

source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:e89407818db46562385cb7cc277e49be04bc014202be1badab95bd7bee1c0c78

Observation b3f5ef05-1f98-4ebd-84f5-16a55cbe0452 · outbound

This paper cites Bertasius, H.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Bertasius, H

Reference 35

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:816508e3165b77c367b1c97e4d894a21236fc5418c0facaef9607d0e80312c2e

Observation 47d9ea1f-0621-403d-91e5-cb10691e435a · outbound

This paper cites James, Z.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data James, Z

Reference 36

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source=pdf_text observed=2026-06-27T19:23:45.402022Z digest=sha256:8c146481432968ec514b035d77d6dc637197e364673bc535f0cb4d52d12e873f

Observation c82de32f-c9c2-4ca8-97a2-6e36d3fd41a1 · outbound

This paper cites Kirillov, E.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Kirillov, E

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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