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Paper Citation Record · LEDGER

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation

As of 6 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 3 inbound Pith citation observations for arXiv:2510.01661.

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

pith.paper-citation-record.v1
2510.01661 v3

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:54:34.790444Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T00:13:58.572795Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T21:48:59.168702Z

Reference resolution

30 of 30 outbound references displayed

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  • verified fuzzy0
  • unresolved30
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c2c0ff7-9757-4e2d-ae26-df90c4d88747 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via ac- tion diffusion,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Diffusion policy: Visuomotor policy learning via ac- tion diffusion,

Reference 1

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source=pdf_text observed=2026-08-04T12:54:31.464718Z digest=sha256:636648a063db371b7c8f11463938cdc7f9e543a559cece06dfaa772003134914

Observation 42efccf8-1c24-4428-8411-40e5a29d1cca · outbound

This paper cites Learning fine- grained bimanual manipulation with low-cost hardware,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Learning fine- grained bimanual manipulation with low-cost hardware,

Reference 2

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source=pdf_text observed=2026-08-04T12:54:31.555960Z digest=sha256:f008184c6d7fd3528472365847f7a9f2571eafd6b5409e4c72cab63d64373630

Observation 0a310776-71d8-4971-bd17-ad104deec33b · outbound

This paper cites Integrated task and motion planning,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Integrated task and motion planning,

Reference 3

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source=pdf_text observed=2026-08-04T12:54:31.649677Z digest=sha256:79bd65d4f027a9b4c4dcf490c58baf9622022be46833f75fec90aac6c30eddb1

Observation ba064193-9f9f-4639-8026-d72883a8f4ce · outbound

This paper cites From reals to logic and back: Inventing symbolic vocabularies, actions, and models for planning from raw data,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation From reals to logic and back: Inventing symbolic vocabularies, actions, and models for planning from raw data,

Reference 4

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source=pdf_text observed=2026-08-04T12:54:31.676774Z digest=sha256:411c2b2b43894dbfe7043bb8faf67ff79b6ec3f44deca27414cc172f78199be5

Observation bc147d9a-94de-4d84-8a4c-b2494eb9d126 · outbound

This paper cites Neuro-symbolic imitation learning: Discovering symbolic abstractions for skill learning,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Neuro-symbolic imitation learning: Discovering symbolic abstractions for skill learning,

Reference 5

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source=pdf_text observed=2026-08-04T12:54:31.814109Z digest=sha256:a5c9c7ce82f18f126cff620b9ae11b3b4e3c0f4ac8e64b8c238014f848300897

Observation d689f8f0-d0a4-4f53-bcce-1073474e61eb · outbound

This paper cites Predicate invention for bilevel planning,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Predicate invention for bilevel planning,

Reference 6

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source=pdf_text observed=2026-08-04T12:54:31.947120Z digest=sha256:ebfc9f64f891c1c123ce2c2b00eb914ff4fe934bf14779bcdbd807bc181cd7db

Observation b14c2b38-0933-413f-90ef-d974370c5bca · outbound

This paper cites Robocasa: Large-scale simulation of ev- eryday tasks for generalist robots,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Robocasa: Large-scale simulation of ev- eryday tasks for generalist robots,

Reference 7

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source=pdf_text observed=2026-08-04T12:54:32.030913Z digest=sha256:b68795b2b13f092091c0fbf2440d694c60cab8583eb889cac8b5ef4a081bd21f

Observation e26cb980-917d-4f47-b0b7-f5dab39a6289 · outbound

This paper cites Passive interaction control with dynam- ical systems,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Passive interaction control with dynam- ical systems,

Reference 8

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source=pdf_text observed=2026-08-04T12:54:32.178634Z digest=sha256:ef1b7b4ad72ec2fb8eb48ffde3403d7f2ebaacc56a5e8c3254186e8695f38561

Observation 26add8fb-046b-4eaa-9532-afaacc63b7c3 · outbound

This paper cites A dynamical system approach to realtime obstacle avoidance,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation A dynamical system approach to realtime obstacle avoidance,

Reference 9

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source=pdf_text observed=2026-08-04T12:54:32.288327Z digest=sha256:48b9df7eb8699b573d3a612d3f40bf94f311b6ed6d89654ca6637ac6b9fb68b2

Observation 2a84ff98-4efe-4e19-aad2-9c2807634291 · outbound

This paper cites A physically-consistent bayesian non- parametric mixture model for dynamical system learning.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation A physically-consistent bayesian non- parametric mixture model for dynamical system learning

Reference 10

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source=pdf_text observed=2026-08-04T12:54:32.418254Z digest=sha256:5ea03e782ac892051e2c9f42343b00e5f9c47b04cb933e5de57db8a8bdb777a1

Observation de657de4-d924-4498-be4b-75ec187f0e34 · outbound

This paper cites Billard, S.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Billard, S

Reference 11

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source=pdf_text observed=2026-08-04T12:54:32.505258Z digest=sha256:9bbe0898d5420b08f066a2eeac90e3e208cf38ea8d699159f89015d041f68a22

Observation b77e43a3-472b-43dd-af9e-72e411bb0f59 · outbound

This paper cites Se(3) linear parameter varying dynamical systems for globally asymptotically stable end-effector control,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Se(3) linear parameter varying dynamical systems for globally asymptotically stable end-effector control,

Reference 12

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source=pdf_text observed=2026-08-04T12:54:32.583500Z digest=sha256:4aa1a9767b10bb5c2c0240ea25a37a5c5a379857e83fb6f5136f1d5f2361f337

Observation d75ffef3-80d0-4fcd-a4ba-ab65f11fd89c · outbound

This paper cites Elastic motion policy: An adaptive dynamical system for robust and efficient one-shot imitation learning,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Elastic motion policy: An adaptive dynamical system for robust and efficient one-shot imitation learning,

Reference 13

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source=pdf_text observed=2026-08-04T12:54:32.670239Z digest=sha256:c6791f9ce3824010d9b381f4428953db6becaae46368fd9f1dd933bfe2d1a4e5

Observation e3a0d1da-c01b-41d8-bba3-43ff0df370bb · outbound

This paper cites Pddlstream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Pddlstream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning,

Reference 14

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source=pdf_text observed=2026-08-04T12:54:32.777605Z digest=sha256:c0f2ee15939b2157018ac76ec497ac1f7d0ddaf6704318f44329fef5f1d9ee89

Observation 2796edec-65cc-45f3-9a67-35ddc6a4f447 · outbound

This paper cites Embodied lifelong learning for task and motion planning,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Embodied lifelong learning for task and motion planning,

Reference 15

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source=pdf_text observed=2026-08-04T12:54:32.919160Z digest=sha256:e04c1edd68589e5118e7276364ab7c4ead19a1f948c4ea6d29c6398914df12fd

Observation 7fe52613-7364-4651-8404-a6633ab0ff6d · outbound

This paper cites Nod-tamp: Generalizable long-horizon planning with neural object descriptors,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Nod-tamp: Generalizable long-horizon planning with neural object descriptors,

Reference 16

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source=pdf_text observed=2026-08-04T12:54:33.035178Z digest=sha256:aafa4b62d8617884e6bf85315caa37de5bfb4a393f065c2f375da397fc781239

Observation 12340a60-9fc8-4d2e-8e50-13bebd9a233f · outbound

This paper cites DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning,

Reference 17

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source=pdf_text observed=2026-08-04T12:54:33.156262Z digest=sha256:826685ea0ff57af67917c06ed5f5857a602f603b68a00d297c145ed690915098

Observation 753f7b23-051f-4bbd-9b11-de012ee72279 · outbound

This paper cites Mimicgen: A data generation system for scalable robot learning using human demonstrations,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Mimicgen: A data generation system for scalable robot learning using human demonstrations,

Reference 18

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source=pdf_text observed=2026-08-04T12:54:33.263805Z digest=sha256:9261cc86b933675e6a71b748d0c599cd053d450ff45649d3f7d12fed33a69b21

Observation 49ef4312-766f-4b09-ad00-36ebe89feee2 · outbound

This paper cites Skillmimicgen: Automated demonstration generation for efficient skill learning and deployment,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Skillmimicgen: Automated demonstration generation for efficient skill learning and deployment,

Reference 19

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source=pdf_text observed=2026-08-04T12:54:33.380291Z digest=sha256:5f3883b745d6199836336e8ea40623ef4e6fa0451b0230acfa548a1ea1c503b9

Observation 38fe402c-e531-48bb-a6b3-d7a050eabd38 · outbound

This paper cites Lotus: Continual imitation learning for robot manipulation through unsupervised skill discovery,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Lotus: Continual imitation learning for robot manipulation through unsupervised skill discovery,

Reference 20

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source=pdf_text observed=2026-08-04T12:54:33.501084Z digest=sha256:1e1db356c55d6b0b97c2a74aa50d8b2cfbf2de3cf32a25620a1bcff786a52551

Observation fe77949d-03e9-46fd-9551-d99a89b062c1 · outbound

This paper cites Mimicplay: Long-horizon imitation learning by watching human play,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Mimicplay: Long-horizon imitation learning by watching human play,

Reference 21

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source=pdf_text observed=2026-08-04T12:54:33.556394Z digest=sha256:87392d6b401598cd3baf7a3ec3d3003b4f30a9f204be4767181fd3145682a511

Observation e4fef72a-f7f9-4e62-b6d3-2de7c913b770 · outbound

This paper cites Learning composable models of parameterized skills,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Learning composable models of parameterized skills,

Reference 22

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source=pdf_text observed=2026-08-04T12:54:33.637038Z digest=sha256:002fc871852209e59f6ae965bbabc821c3ba09c9c1e5caf8c04805dc718723f9

Observation 4c5c0305-50f5-4ab2-b0c5-624a8cf30fad · outbound

This paper cites From skills to symbols: Learning symbolic representations for abstract high-level planning,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation From skills to symbols: Learning symbolic representations for abstract high-level planning,

Reference 23

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source=pdf_text observed=2026-08-04T12:54:33.750165Z digest=sha256:9ec9bc7701face96fde748b13ec4cd857c1498ca33b28560ff7e2bb5ae8f7dad

Observation f3b3d8c0-45b8-440f-bfcd-f2b086282113 · outbound

This paper cites Blade: Learning compositional behaviors from demonstration and language,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Blade: Learning compositional behaviors from demonstration and language,

Reference 24

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source=pdf_text observed=2026-08-04T12:54:33.860389Z digest=sha256:823d9bbe4ab6297f2bcfe54f140db3906a0c2301701f2ca9212a8e95d246a57c

Observation 7660ae6f-8302-42d8-8051-04876f6d30ba · outbound

This paper cites Bilevel Learning for Bilevel Planning,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Bilevel Learning for Bilevel Planning,

Reference 25

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source=pdf_text observed=2026-08-04T12:54:33.976964Z digest=sha256:051430c40c9976356ae0bc1fbafa5837b2a67e99f764d46648ea8e124d9a860c

Observation a176c004-acc3-438e-8703-b003e71d529a · outbound

This paper cites Neural descriptor fields: Se (3)- equivariant object representations for manipulation,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Neural descriptor fields: Se (3)- equivariant object representations for manipulation,

Reference 26

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source=pdf_text observed=2026-08-04T12:54:34.140407Z digest=sha256:94b29ba3c6edfdbe774bbac4142b452d2c8197b3c1db1459b0f7448b8f7141e6

Observation 217a9cb9-32d6-48d1-a98d-fdbccaeaedf7 · outbound

This paper cites Predicate invention from pixels via pretrained vision- language models,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Predicate invention from pixels via pretrained vision- language models,

Reference 27

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source=pdf_text observed=2026-08-04T12:54:34.308058Z digest=sha256:8078baef9c1d71d11d82d6e68f68c0375578696e35b7dad5e79077c69fb6f0bf

Observation 744e57eb-d2e1-4bfd-8430-a992ac2d7acc · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 28

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source=pdf_text observed=2026-08-04T12:54:34.483259Z digest=sha256:1aa1814d2a3a0127814f4268ec3fbb12867798b607da25a593f97574df7839f9

Observation cfa757b1-278b-4678-b4fc-52b44ce37982 · outbound

This paper cites Learning neuro-symbolic relational transition models for bilevel planning,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Learning neuro-symbolic relational transition models for bilevel planning,

Reference 29

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source=pdf_text observed=2026-08-04T12:54:34.623607Z digest=sha256:6e609e34be6df567881ceecdde41bfe33991c0f5263a384ee22dd6e84ceb5cc0

Observation 9af3a6ae-8209-4ebc-8303-c72e42685d88 · outbound

This paper cites Universal manipulation interface: In-the-wild robot teaching without in-the-wild robots,.

Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation Universal manipulation interface: In-the-wild robot teaching without in-the-wild robots,

Reference 30

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source=pdf_text observed=2026-08-04T12:54:34.790444Z digest=sha256:563a7c80e190e52a66fba0235c6f9aa1288855ea0ae9647bd10700e7d245e890

Pith citing papers

Observation a4c9f950-2eed-44b1-9b58-b1ec7ed4b31a · inbound

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies cites this paper.

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation

Reference 9

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arxiv_id, observed 2026-06-09T03:07:04.490582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-07T11:12:30.501043Z digest=sha256:c968fb0d92a2102a250c41b1ee586abc0880e35a7a451e0d051198a3ebd40290

Observation 70d3e037-f6fc-4e5d-a4f7-427ca68c18f7 · inbound

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies cites this paper.

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation

Reference 9

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arxiv_id, observed 2026-06-09T03:07:04.490582Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T03:25:26.291747Z digest=sha256:cc0050f9826f725f235fad528cb4fccf8de0f28d5c988d9ab67b43bd5ddc4fca

Observation 1eedb814-118a-48fa-a2ed-a3aded6422d9 · inbound

Recover, Discover, Plan: Learning Skills and Concepts from Robot Failures cites this paper.

Recover, Discover, Plan: Learning Skills and Concepts from Robot Failures Symskill: Symbol and Skill Co-Invention for Data-Efficient and Reactive Long-Horizon Manipulation

Reference 12

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local_arxiv, observed 2026-07-03T21:48:59.170866Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T00:13:58.572795Z digest=sha256:790e28ff30de9af86406f654683c9277dca3e8e01fc433a7cd64d5323e534d77