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Paper Citation Record · LEDGER

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning

As of 11 August 2026, this Paper Citation Record lists 100 of 112 outbound references and 0 inbound Pith citation observations for arXiv:2607.18060.

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

pith.paper-citation-record.v1
2607.18060 v2

Coverage vector

measured 100 of 112 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:19:09.540151Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

100 of 112 outbound references displayed

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  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 50c05fc3-baf6-4854-a2ea-14ae29fb3a2b · outbound

This paper cites Qwen3-VL Technical Report.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Qwen3-VL Technical Report

Reference 1

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Observation 58a5ba73-cbdd-4d4b-8f54-3c2b054e3550 · outbound

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

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning PDDLStream : Integrating symbolic planners and blackbox samplers via optimistic adaptive planning

Reference 2

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Observation f662a881-d664-4f67-810b-d859cafff288 · outbound

This paper cites From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language Models , journal=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language Models , journal=

Reference 3

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Observation 9ddb0a97-dc86-4a5a-87c4-6b7c7cc91587 · outbound

This paper cites Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning , year =.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning , year =

Reference 4

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source=arxiv_source observed=2026-08-01T16:19:08.895307Z digest=sha256:9475ae80c8088df080434e9b3945359ff08e8c59361a1c7010c53dfb022c0bb6

Observation 08bd99e6-43b5-409f-9c3d-20b276d6d977 · outbound

This paper cites an unresolved cited work.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Unresolved cited work

Reference 5

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source=arxiv_source observed=2026-08-01T16:19:08.900431Z digest=sha256:ed3b495ed6dd0df67bae02e16992f99e3526d63b99b9e4b5bcac7cd3b4120c80

Observation ee03b8a2-e8b7-4635-a8f0-7ed6c4f70668 · outbound

This paper cites an unresolved cited work.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Unresolved cited work

Reference 6

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Observation 9f3783fa-a504-4562-81f4-69a02777fb4e · outbound

This paper cites PR ompt Optimization in Multi-Step Tasks ( PROMST ): Integrating Human Feedback and Heuristic-based Sampling.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning PR ompt Optimization in Multi-Step Tasks ( PROMST ): Integrating Human Feedback and Heuristic-based Sampling

Reference 7

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Observation b7bef96f-70fd-45a5-bf66-51f318a13c8b · outbound

This paper cites Proceedings of the 34th International Conference on Machine Learning , year =.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Proceedings of the 34th International Conference on Machine Learning , year =

Reference 8

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Observation c450f7f2-0013-43a6-9f59-19974e7338fd · outbound

This paper cites an unresolved cited work.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Unresolved cited work

Reference 9

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Observation da0d0288-592b-47cd-810b-ad5b39ab8ee3 · outbound

This paper cites an unresolved cited work.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Unresolved cited work

Reference 10

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Observation 331b90dd-02bf-4a3c-9079-1bf45daae6d1 · outbound

This paper cites PaLM - E : An embodied multimodal language model.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning PaLM - E : An embodied multimodal language model

Reference 11

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source=arxiv_source observed=2026-08-01T16:19:09.058046Z digest=sha256:e6cf876d9f747b42f9616f6dbd2d43c420bfd04877663c506c2f7f70ac395826

Observation ad1729b6-5ab0-4d98-a926-55736f07261c · outbound

This paper cites an unresolved cited work.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Unresolved cited work

Reference 12

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source=arxiv_source observed=2026-08-01T16:19:09.063031Z digest=sha256:01b7f15d203e6dc8642be5b3df1764e433105e2baade9e62133c8c55fecaba7d

Observation 9d29c639-e366-4146-9af6-e66ab469e635 · outbound

This paper cites an unresolved cited work.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Unresolved cited work

Reference 13

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source=arxiv_source observed=2026-08-01T16:19:09.068394Z digest=sha256:0e28d560048f3001efdd93f0a425955733d621046f499bbf7112275e8e67c598

Observation ba6ac62c-c7dc-4e12-ae45-4d2d4eb5f053 · outbound

This paper cites Guiding Long-Horizon Task and Motion Planning with Vision Language Models , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Guiding Long-Horizon Task and Motion Planning with Vision Language Models , year=

Reference 14

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source=arxiv_source observed=2026-08-01T16:19:09.073090Z digest=sha256:258886269443b8c9e979cdc14de3ef11c84a3ddd192897e9b3b273e3c32eff5c

Observation 851ffedc-ef6f-460d-9c05-bfe57e2cd398 · outbound

This paper cites LLM -A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning LLM -A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning

Reference 15

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source=arxiv_source observed=2026-08-01T16:19:09.078309Z digest=sha256:ad8c93ea699d5df1a6db26bb4bfbe5db935023f0f9d03bd963389fcbda2df151

Observation 9db15f77-75ed-49af-8772-a6188c318c80 · outbound

This paper cites Generalized planning in pddl domains with pretrained large language models.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Generalized planning in pddl domains with pretrained large language models

Reference 16

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source=arxiv_source observed=2026-08-01T16:19:09.083557Z digest=sha256:35c36fbc3de3e7198d928c117bc0ee4db405be8320acabfad7a79ba7e3fd0ef5

Observation c4ad41f1-67ba-4dcc-8e11-b7eac6c3f06c · outbound

This paper cites Tree-Planner: Efficient Close-loop Task Planning with Large Language Models.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Tree-Planner: Efficient Close-loop Task Planning with Large Language Models

Reference 17

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source=arxiv_source observed=2026-08-01T16:19:09.088543Z digest=sha256:2c5cf94b13a5fec35ffb7e0bff556dbf8f8218a220c261aa6813678ddfe741bd

Observation 1c3986bb-41d7-4c05-836e-ad1f329620b9 · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Thirty-seventh Conference on Neural Information Processing Systems , year=

Reference 18

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Observation ccbbe1f9-e700-49b3-84df-6bdf58ab886f · outbound

This paper cites VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning

Reference 19

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Observation 2f8bca33-5877-49cd-b493-36ef59081fb2 · outbound

This paper cites Automated Planning Domain Inference for Task and Motion Planning , booktitle=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Automated Planning Domain Inference for Task and Motion Planning , booktitle=

Reference 20

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source=arxiv_source observed=2026-08-01T16:19:09.106401Z digest=sha256:5093f38f725162fa963e4a1cd7be956df714906e676cd6912318ea221ab76958

Observation eb5d9207-258c-4d10-a281-22d8e7ef80e5 · outbound

This paper cites One demo is all it takes: Planning Domain Derivation with LLMs from A single demonstration.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning One demo is all it takes: Planning Domain Derivation with LLMs from A single demonstration

Reference 21

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Observation 7399a969-a9e1-458c-9cfe-2df690f111e5 · outbound

This paper cites 2024 , booktitle =.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning 2024 , booktitle =

Reference 22

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source=arxiv_source observed=2026-08-01T16:19:09.120435Z digest=sha256:2b4a0678aeda381994655d244a2b70e882ff187eac50331d514dc5ada5706535

Observation 342ba355-c694-4cd7-aa68-3ac35ae4a6e2 · outbound

This paper cites an unresolved cited work.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Unresolved cited work

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Observation 8028c919-bd06-4ea7-890e-6190f7a42de3 · outbound

This paper cites Predicate Invention for Bilevel Planning.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Predicate Invention for Bilevel Planning

Reference 24

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source=arxiv_source observed=2026-08-01T16:19:09.131648Z digest=sha256:3de7aa794e7e63cd9a5dd9a1ee8dd38dd58cad9f21b7e1366d4925a644cd4846

Observation 42925ab8-3207-4e44-84a0-67932f5b41db · outbound

This paper cites LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Reference 25

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source=arxiv_source observed=2026-08-01T16:19:09.138301Z digest=sha256:7fa7c47c99afd65a53f779b5b30b7797499fe182bf69e39211b89d584ce385ae

Observation f7719203-b5ae-4277-bdc1-1cdb5a3b305f · outbound

This paper cites 2024 IEEE International conference on robotics and automation (ICRA) , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning 2024 IEEE International conference on robotics and automation (ICRA) , year=

Reference 26

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source=arxiv_source observed=2026-08-01T16:19:09.144681Z digest=sha256:1a77168fd2fcd0af5727fca26c5d3e14463561dd6e7b9b02b2f66c9ad8f30392

Observation 8dbcc4a3-dfc6-42df-9e7a-625bec2a16e3 · outbound

This paper cites Learning to Search in Task and Motion Planning With Streams.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Learning to Search in Task and Motion Planning With Streams

Reference 27

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Observation 3a9f860a-ed8f-4561-93cc-faed0c1fc5e7 · outbound

This paper cites GPT-4o System Card.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning GPT-4o System Card

Reference 28

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Observation 5a67648b-680c-4895-80ce-15ca3121df67 · outbound

This paper cites an unresolved cited work.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Unresolved cited work

Reference 29

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Observation d25f1995-52e9-40a3-ae6d-39bc27e86ba6 · outbound

This paper cites 8th Annual Conference on Robot Learning , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning 8th Annual Conference on Robot Learning , year=

Reference 30

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source=arxiv_source observed=2026-08-01T16:19:09.169105Z digest=sha256:48385e573f128cc357a74afafbc78dd22000f2e01fd5f988deba813260f090ae

Observation 76d7cc7d-5525-4966-9697-10065ffc23dc · outbound

This paper cites 2025 IEEE International Conference on Robotics and Automation (ICRA) , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning 2025 IEEE International Conference on Robotics and Automation (ICRA) , year=

Reference 31

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source=arxiv_source observed=2026-08-01T16:19:09.174066Z digest=sha256:f7927fbee05e030840e1f3e1da1f2422a5bb0170aa3cd0f3cca6c1d0c35e9b61

Observation 5f4c4e9f-4484-4758-84a2-190ae08a18a4 · outbound

This paper cites Language Models can infer action semantics for symbolic planners from environment feedback.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Language Models can infer action semantics for symbolic planners from environment feedback

Reference 32

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source=arxiv_source observed=2026-08-01T16:19:09.179437Z digest=sha256:473fc6c51f3d1a3daf6d44a5a0778427c1e46b7464007802804da3d71d2efaf9

Observation c557aa79-3ebc-493a-9432-4ac45b78b9e5 · outbound

This paper cites Robotics: Science and Systems (RSS) , year =.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Robotics: Science and Systems (RSS) , year =

Reference 33

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source=arxiv_source observed=2026-08-01T16:19:09.184565Z digest=sha256:518394cc8e6ffc9fcf68dad2995776c4233847388b3e4dd5c09c440edac1713b

Observation 366571f6-5165-4293-8224-b875d778c5b2 · outbound

This paper cites Proceedings of The 7th Conference on Robot Learning , pages =.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Proceedings of The 7th Conference on Robot Learning , pages =

Reference 34

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Observation 52b6e325-2021-4b86-9976-209adcf764f6 · outbound

This paper cites an unresolved cited work.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Unresolved cited work

Reference 35

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source=arxiv_source observed=2026-08-01T16:19:09.194051Z digest=sha256:b4c151dc788bd8e6d6e0f4d38249e510db0459aa0984f25e55d65e9aa6f0d607

Observation 56e4844a-dedb-41d5-8875-0436a2296903 · outbound

This paper cites 2023 , journal =.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning 2023 , journal =

Reference 36

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source=arxiv_source observed=2026-08-01T16:19:09.198996Z digest=sha256:f1508a2fa4132666583ccbb123b57c5ac3f4495f9fcda44b1ddb876ed481d5fb

Observation 31fa4285-947b-4613-a0ba-bdc9b8098ffe · outbound

This paper cites an unresolved cited work.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Unresolved cited work

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source=arxiv_source observed=2026-08-01T16:19:09.204850Z digest=sha256:1a11f12e0d3fec09a9956657c76a9d29d9723aec441683bb5f3cb897ff0ced7e

Observation 6f3a398b-73d5-4f09-8dff-8f28b532815f · outbound

This paper cites Self-training meets consistency: Improving LLMs’ reasoning with consistency-driven rationale evaluation.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Self-training meets consistency: Improving LLMs’ reasoning with consistency-driven rationale evaluation

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source=arxiv_source observed=2026-08-01T16:19:09.209734Z digest=sha256:b0b600f690c43fcd3022e021254d42a912c9276aaa3767565dcbf3580eadfac9

Observation e070f32f-14e7-442c-b00e-40b1324bc62d · outbound

This paper cites V-STaR: Training verifiers for self-taught reasoners.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning V-STaR: Training verifiers for self-taught reasoners

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source=arxiv_source observed=2026-08-01T16:19:09.214874Z digest=sha256:385fa503c3fa1b9dc97109be9e0a42f911edb8514c65416498dac378147e4df4

Observation 2fb42ef6-7560-41d7-99a0-565517381693 · outbound

This paper cites an unresolved cited work.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Unresolved cited work

Reference 40

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source=arxiv_source observed=2026-08-01T16:19:09.220151Z digest=sha256:638d2f7236a43727bc405ddef3cd5a0c4b97897378d645c2d1cbe167c5f51dda

Observation 236b00c9-1fee-480c-8208-9ac6461ebb46 · outbound

This paper cites and Le, Quoc V.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning and Le, Quoc V

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source=arxiv_source observed=2026-08-01T16:19:09.224941Z digest=sha256:b0762eb2dfa3b64472b4e63292ce63cd368c86b611549a4b68d9f5bec177d54b

Observation 3d60e958-0207-4433-9d31-f50a34365a6e · outbound

This paper cites an unresolved cited work.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Unresolved cited work

Reference 42

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source=arxiv_source observed=2026-08-01T16:19:09.229618Z digest=sha256:dfc1c50cb4c032c016165cf2556b8b324d8274d9cb40982e003a63951e4cab26

Observation e3dc2175-5fda-43b2-8536-f09aba7f95f2 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning International Conference on Learning Representations (ICLR) , year =

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source=arxiv_source observed=2026-08-01T16:19:09.234045Z digest=sha256:4825984965a8999a32369955fcebf60bbf6eccb05be774c10df0d00f422cdf17

Observation d77fd5d9-f55b-47ae-99be-28db8a34a2f6 · outbound

This paper cites an unresolved cited work.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Unresolved cited work

Reference 44

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source=arxiv_source observed=2026-08-01T16:19:09.238622Z digest=sha256:f91a5ec851f1dd288e7c8b2a4a0d2d1313bfee3109fa2f8382eb0d4fe2b61bb3

Observation 7fba14af-800d-4bc5-b538-08de23d1291f · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Training Verifiers to Solve Math Word Problems

Reference 45

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source=arxiv_source observed=2026-08-01T16:19:09.243340Z digest=sha256:199754ff346fabbe95484b0544c212ff3509ca0581cf4169f9556c6840955167

Observation 0cdffd52-c250-4751-933c-e7d577151d28 · outbound

This paper cites an unresolved cited work.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Unresolved cited work

Reference 46

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source=arxiv_source observed=2026-08-01T16:19:09.249292Z digest=sha256:9b43ef9f5c07af1ffbdbbbf3fb171036ce58aa56d800c2e88ae66ba063c990fd

Observation 1175553e-4d32-46d6-9d45-62500ba0d4de · outbound

This paper cites 8th Annual Conference on Robot Learning , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning 8th Annual Conference on Robot Learning , year=

Reference 47

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source=arxiv_source observed=2026-08-01T16:19:09.253853Z digest=sha256:bf4b5d1b87cf47ad993e0337d2b160ddd57bdcba5ed12d55aad359b3819b6ce4

Observation f30c5824-cb0c-4a81-a5a3-995f6a5f8341 · outbound

This paper cites 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , year=

Reference 48

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source=arxiv_source observed=2026-08-01T16:19:09.258804Z digest=sha256:dee494f5c65ba53734e379f396baee288b1a419a456dae173cf0257ae06ad7e5

Observation 64af1046-3b38-43a5-9256-ea29b081fba1 · outbound

This paper cites P roof W riter: Generating Implications, Proofs, and Abductive Statements over Natural Language.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning P roof W riter: Generating Implications, Proofs, and Abductive Statements over Natural Language

Reference 49

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source=arxiv_source observed=2026-08-01T16:19:09.264871Z digest=sha256:09f89a64d6f43240323c9564d90a5ad23c7ecca34e71f108b18e71d191e8c668

Observation 68cb53c6-2c3a-42ee-9368-4731d2c8815a · outbound

This paper cites an unresolved cited work.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Unresolved cited work

Reference 50

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source=arxiv_source observed=2026-08-01T16:19:09.269954Z digest=sha256:4365935830f4e8d95c41e3ee6155e906dd3bc9e81197002822d9f6f53daf0c40

Observation 193a4afe-7873-4da8-8e06-47275f672ed3 · outbound

This paper cites Annual Meeting of the Association for Computational Linguistics , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Annual Meeting of the Association for Computational Linguistics , year=

Reference 51

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source=arxiv_source observed=2026-08-01T16:19:09.276079Z digest=sha256:2b335bd2c1a4955b1f61cd876efae15789ace08e1892a4b2e47c887cca3928c0

Observation dc6dffe1-a2c4-4f5a-80ea-bda9424cef8b · outbound

This paper cites Logic- LM : Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Logic- LM : Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning

Reference 52

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source=arxiv_source observed=2026-08-01T16:19:09.281687Z digest=sha256:bc810cc4f5c9e9c9112b6d43f9ddb8dbae68c1f34f09772739ab32be17c6d86b

Observation ed4519b2-ca2b-4f5c-b02e-5e87731d6a03 · outbound

This paper cites FOLIO : Natural Language Reasoning with First-Order Logic.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning FOLIO : Natural Language Reasoning with First-Order Logic

Reference 53

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source=arxiv_source observed=2026-08-01T16:19:09.286511Z digest=sha256:9d36f3c10620ed3402c46b225712486744597bea9992d7fe84bec9046366315b

Observation 8e5f5137-a548-441c-9947-9ed316c2253d · outbound

This paper cites LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers , booktitle=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers , booktitle=

Reference 54

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source=arxiv_source observed=2026-08-01T16:19:09.292056Z digest=sha256:4d9bb1072ccaf0a457cbca73d757e1cb53cb80eff9fa96f550a351c231944d23

Observation 35184324-8d29-4914-9cf8-a712bf888661 · outbound

This paper cites Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA) , year =.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA) , year =

Reference 55

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source=arxiv_source observed=2026-08-01T16:19:09.297221Z digest=sha256:4ad7c5d0c40add21ecee36836a4e7527b79cfc4756ff59d36797cba83a218221

Observation 0721eb25-5633-49f5-a6f6-aa49c436507d · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track , year=

Reference 56

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source=arxiv_source observed=2026-08-01T16:19:09.303527Z digest=sha256:29d1208558de86c36860b20abf483d4f698535c76fb64915ab9332a3eb1c583a

Observation b68784c7-1726-41e2-93ad-5df7eb4b629e · outbound

This paper cites The FF planning system: Fast plan generation through heuristic search.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning The FF planning system: Fast plan generation through heuristic search

Reference 57

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source=arxiv_source observed=2026-08-01T16:19:09.308983Z digest=sha256:93d7e8d9d97c97a49a666893bf7bd449940921a6c004e15c42b9a8e8416904be

Observation 122dbe3f-90df-4180-8f53-ced7e282e3f5 · outbound

This paper cites and Khashabi, Daniel and Hajishirzi, Hannaneh.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning and Khashabi, Daniel and Hajishirzi, Hannaneh

Reference 58

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source=arxiv_source observed=2026-08-01T16:19:09.315365Z digest=sha256:3cc3dfa44b52a8d110cb7d5ae62d5bb4c5f467b30792015b7ffabd611ac8ca83

Observation 2c4a6624-ae57-446b-9696-6244640b806c · outbound

This paper cites an unresolved cited work.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Unresolved cited work

Reference 59

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source=arxiv_source observed=2026-08-01T16:19:09.320835Z digest=sha256:86185df2db95b659b7546a0a81e79cf6b9da28aa23461d05ba61ae79819a5729

Observation 67965d00-bf82-4a5a-a9b7-545e7ca71af3 · outbound

This paper cites Gemma 3 Technical Report.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Gemma 3 Technical Report

Reference 60

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source=arxiv_source observed=2026-08-01T16:19:09.326564Z digest=sha256:0afde13fe02880b8ad169bf18e88083e41fa14a7906051d203f71e082b149b4e

Observation 0d10358e-a338-489f-924a-d451b954988e · outbound

This paper cites Ministral 3.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Ministral 3

Reference 61

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source=arxiv_source observed=2026-08-01T16:19:09.332083Z digest=sha256:180862f65c50b68ac669a1369214e6e44aa68e0979acc2cd8ac90de139a57514

Observation 88d4b2cf-b351-4a8a-bab4-5b398c6355be · outbound

This paper cites Distilling the Knowledge in a Neural Network.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Distilling the Knowledge in a Neural Network

Reference 62

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source=arxiv_source observed=2026-08-01T16:19:09.337678Z digest=sha256:0c492568dd6ed3e7783be14e16a10904410803f830cb48a9cb707c2e8025806c

Observation 9768e662-a595-4120-a7d0-4b7db0a43a51 · outbound

This paper cites _0 : A vision-language-action flow model for general robot control.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning _0 : A vision-language-action flow model for general robot control

Reference 63

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source=arxiv_source observed=2026-08-01T16:19:09.343450Z digest=sha256:ad49d8e1b1e6398f8348071b23254210fb114770a883c66bdb10e11087c43ba7

Observation 16cc7e52-958e-4527-877e-a96ce3a233e8 · outbound

This paper cites Leveraging Language-based Representations for Better Solving Symbol-related Problems with Large Language Models.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Leveraging Language-based Representations for Better Solving Symbol-related Problems with Large Language Models

Reference 64

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source=arxiv_source observed=2026-08-01T16:19:09.349119Z digest=sha256:9bfdf89929148783de0412debc533d0eb40282a0c303ce9a5cda40cb1d9c2b63

Observation 3adaad89-9cef-40c5-a83f-0917c14452ea · outbound

This paper cites Language Models can be Deductive Solvers.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Language Models can be Deductive Solvers

Reference 65

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source=arxiv_source observed=2026-08-01T16:19:09.355079Z digest=sha256:ea74bd95f41c903d77f3620ac9cb664b7cb02310c9c6bfdabb8b9c547ca8fa36

Observation 386c7ae8-4e45-48f7-9706-3997fe250bb8 · outbound

This paper cites Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation , volume =.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation , volume =

Reference 66

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source=arxiv_source observed=2026-08-01T16:19:09.362563Z digest=sha256:d2d105c4ddb726a0ebc6e9ad1e22d7bb6fd385e433ba77f1f35048623dd3f78e

Observation 84d0d508-9c07-4ffd-8d21-8f5619ee4633 · outbound

This paper cites Proximal Policy Optimization Algorithms.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Proximal Policy Optimization Algorithms

Reference 67

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source=arxiv_source observed=2026-08-01T16:19:09.368721Z digest=sha256:cbc8effd7a02d10e7e3941b037711accd0669bb636e77be4744b0554b286caea

Observation f3192980-ea8c-478f-b52b-43b95e4eb77e · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 68

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source=arxiv_source observed=2026-08-01T16:19:09.374881Z digest=sha256:20ffc6e123a3002beb181ab8a5d508b9bb503a5cb57e1335efbe386db2da5e39

Observation b3c0e181-8742-4306-af4e-b6363ebb17b4 · outbound

This paper cites Deep Reinforcement Learning from Human Preferences , volume =.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Deep Reinforcement Learning from Human Preferences , volume =

Reference 69

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source=arxiv_source observed=2026-08-01T16:19:09.380937Z digest=sha256:56ca65ed7bdcf1560d0ccd2fd181ae2a33907ffc7fed85c21aff2cfe4c0eb0bc

Observation 6aba837c-f80d-4286-b2c7-69ea156cd918 · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Thirty-seventh Conference on Neural Information Processing Systems , year=

Reference 70

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source=arxiv_source observed=2026-08-01T16:19:09.386273Z digest=sha256:c88cb09f68d0f48b80bfb83a39a1778d6892532a68601777b3bc42f4223a766d

Observation 3dbf8f4b-01a5-4e91-9379-21fc9772c2af · outbound

This paper cites 9th Annual Conference on Robot Learning , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning 9th Annual Conference on Robot Learning , year=

Reference 71

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source=arxiv_source observed=2026-08-01T16:19:09.391007Z digest=sha256:5e0cc639b5a95b78fe7933573b1d6061ca2018dc4237255b0c5ceb33ebaf80c2

Observation 03fa7656-eb9d-4691-a703-5608e7023ba7 · outbound

This paper cites Proceedings of the International Conference on Automated Planning and Scheduling , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Proceedings of the International Conference on Automated Planning and Scheduling , year=

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source=arxiv_source observed=2026-08-01T16:19:09.396601Z digest=sha256:3a6cca605a9c2aa1bde46f50924dc9b8bf92d0b422cefcdc15e4f6e8d631998d

Observation 2239283a-12c9-4a36-a19e-0853b853a4db · outbound

This paper cites Understanding the Capabilities of Large Language Models for Automated Planning.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Understanding the Capabilities of Large Language Models for Automated Planning

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source=arxiv_source observed=2026-08-01T16:19:09.402294Z digest=sha256:4a0356b8ea6a101251f8c6d56811539e0c1d1e2f49166adb462ee192c363f9c7

Observation e98cc004-d6b8-4949-a73d-f6977041f784 · outbound

This paper cites 2026 , journal=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning 2026 , journal=

Reference 74

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source=arxiv_source observed=2026-08-01T16:19:09.408284Z digest=sha256:e0142f7143f47bb1eb65d253a4b8b2d018ecbcaf396e5da484cc4b4ba50abb48

Observation 8b047dd4-0c94-41b6-8501-416bc3d13124 · outbound

This paper cites UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning , year =.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning , year =

Reference 75

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source=arxiv_source observed=2026-08-01T16:19:09.413334Z digest=sha256:751eee77905594c9b76364971d4765818b00eebb906c2275171a83f467d43173

Observation 0fd56c30-abf1-46c4-9068-942911e35c7f · outbound

This paper cites MolmoAct2: Action Reasoning Models for Real-world Deployment.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning MolmoAct2: Action Reasoning Models for Real-world Deployment

Reference 76

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no resolver link, observed 2026-08-01T16:19:09.418294Z

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source=arxiv_source observed=2026-08-01T16:19:09.418294Z digest=sha256:5534539ea08fa1c23a33cb7da12969aa23a49f7fc47a40af36b8c075ac8f2069

Observation 0de7cf1d-cdd9-432d-9325-fd708f1f43f5 · outbound

This paper cites X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Reference 77

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source=arxiv_source observed=2026-08-01T16:19:09.424307Z digest=sha256:979e55cff53f96c01401971b7252ea0cc4ec09176f34f6dd9bdaf327efe21cfb

Observation 993161e1-81ee-4506-8e49-a96336842d7b · outbound

This paper cites arXiv preprint arXiv:2510.06710 , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning arXiv preprint arXiv:2510.06710 , year=

Reference 78

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no resolver link, observed 2026-08-01T16:19:09.429489Z

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source=arxiv_source observed=2026-08-01T16:19:09.429489Z digest=sha256:899d2da3ebdf63afb94dd12f9b3b4d990e50d1a5badd93599020df334534badf

Observation 8404be0f-8a2d-4a05-9835-6f3af5958e3f · outbound

This paper cites an unresolved cited work.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Unresolved cited work

Reference 79

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no resolver link, observed 2026-08-01T16:19:09.434371Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T16:19:09.434371Z digest=sha256:7a2a9fa93bc248da17d846f48b0b4b82cde0c44f5063059e7906a1f3e43b2e75

Observation 413eb35c-9b51-476b-a2c2-22ed60b46607 · outbound

This paper cites 2011 IEEE international conference on robotics and automation , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning 2011 IEEE international conference on robotics and automation , year=

Reference 80

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no resolver link, observed 2026-08-01T16:19:09.439332Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T16:19:09.439332Z digest=sha256:1d8272386e52c6da76518864e74cc85e383409e43ebb9fd19463f0216e7ef7f6

Observation cb89ec46-e1c9-4afd-aec8-70d0fbc37ac2 · outbound

This paper cites Do World Action Models Generalize Better than VLAs? A Robustness Study.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Do World Action Models Generalize Better than VLAs? A Robustness Study

Reference 81

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no resolver link, observed 2026-08-01T16:19:09.444916Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T16:19:09.444916Z digest=sha256:263a933cef5f5d81125a4e547c2ae19ae9360aec62a5f6991642b8d809e3d42b

Observation 7a540708-74bc-43b8-8cd1-3d182128b081 · outbound

This paper cites Annual review of control, robotics, and autonomous systems , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Annual review of control, robotics, and autonomous systems , year=

Reference 82

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no resolver link, observed 2026-08-01T16:19:09.450128Z

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source=arxiv_source observed=2026-08-01T16:19:09.450128Z digest=sha256:7d6ce88d6f9973bb63a3ccb6fd5ee57eaadabf9bd0e7e2d5cf9a8e2a56067f2b

Observation 5f8e3dfe-e0dc-41ab-8e25-ee744a8a2250 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning ReAct: Synergizing Reasoning and Acting in Language Models

Reference 83

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no resolver link, observed 2026-08-01T16:19:09.455113Z

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source=arxiv_source observed=2026-08-01T16:19:09.455113Z digest=sha256:e14a063f299fce111d1e87a20890f884932e551eec8e30dace1dd9982a3d22a1

Observation 97345006-bf33-4082-8820-99b5bb833690 · outbound

This paper cites Advances in neural information processing systems , volume=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Advances in neural information processing systems , volume=

Reference 84

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no resolver link, observed 2026-08-01T16:19:09.460290Z

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source=arxiv_source observed=2026-08-01T16:19:09.460290Z digest=sha256:05da15565cb2a5125ad75fbcc7251bfc8186764315f4e774ef534b74f8e61c04

Observation 2b97a56f-fcd6-4a6f-92e4-cfeaad0fe476 · outbound

This paper cites Advances in neural information processing systems , volume=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Advances in neural information processing systems , volume=

Reference 85

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no resolver link, observed 2026-08-01T16:19:09.465072Z

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source=arxiv_source observed=2026-08-01T16:19:09.465072Z digest=sha256:3b83401cfcdf61455ee85ee84821837cf1b2969da0228522373ab1cdf0e6fd3f

Observation 3b20f65b-7b73-444c-9cfc-f226553ece24 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 86

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no resolver link, observed 2026-08-01T16:19:09.470463Z

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source=arxiv_source observed=2026-08-01T16:19:09.470463Z digest=sha256:534980e63cba0d0dd4ce1187c91ca97ea514eecbed2fa3b2f5828215be3a88e7

Observation 0dedd20b-5b70-4e36-88af-cd972d8a90a9 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Advances in Neural Information Processing Systems , volume=

Reference 87

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no resolver link, observed 2026-08-01T16:19:09.475525Z

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source=arxiv_source observed=2026-08-01T16:19:09.475525Z digest=sha256:b1008fad137374760d40930abc81a45df9cb80458b36b874b6d57c2651cd9973

Observation 20932d70-a708-4e60-af4c-d2ce95c52491 · outbound

This paper cites Forty-first International Conference on Machine Learning , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Forty-first International Conference on Machine Learning , year=

Reference 88

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no resolver link, observed 2026-08-01T16:19:09.480544Z

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source=arxiv_source observed=2026-08-01T16:19:09.480544Z digest=sha256:de083dd3dfdca8f79eb69a4d105c30c80b6af1e96120377ae7e7206778154e51

Observation afd81873-b3d2-4616-a971-2b9be68ec250 · outbound

This paper cites International Conference on Learning Representations , volume=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning International Conference on Learning Representations , volume=

Reference 89

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no resolver link, observed 2026-08-01T16:19:09.485449Z

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source=arxiv_source observed=2026-08-01T16:19:09.485449Z digest=sha256:dd46c98d13fca82ad4ba1716212bb357af0e60152d071628b40658ee5465c472

Observation 155cc97a-b899-4669-ab69-3e3318f88127 · outbound

This paper cites Agentless: Demystifying LLM-based Software Engineering Agents.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Agentless: Demystifying LLM-based Software Engineering Agents

Reference 90

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source=arxiv_source observed=2026-08-01T16:19:09.490101Z digest=sha256:8bf0e7abea9277f4c61f65a109a09db7eb578ea25526ede34a20ea1ce548ace4

Observation 2c4d3fea-cb97-42e4-b06d-7563bd1b4cbd · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 91

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no resolver link, observed 2026-08-01T16:19:09.495017Z

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source=arxiv_source observed=2026-08-01T16:19:09.495017Z digest=sha256:1c4dc1ba4ee75920d3e22ee9d04c8b1ea2f511c1144533be52e089a6196f00cc

Observation a38d2ba1-daad-45b9-a850-97c755c34895 · outbound

This paper cites International Conference on Learning Representations , volume=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning International Conference on Learning Representations , volume=

Reference 92

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source=arxiv_source observed=2026-08-01T16:19:09.500613Z digest=sha256:3d37143b9a9fda6146c7709d56b5a8d7987ac80c65539579cda7afa0e2c0b650

Observation 241e74a7-28ce-465e-8792-b0562a9622d2 · outbound

This paper cites arXiv preprint arXiv:2603.11558 , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning arXiv preprint arXiv:2603.11558 , year=

Reference 93

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source=arxiv_source observed=2026-08-01T16:19:09.505369Z digest=sha256:26118203040cb02df5ff568af213306c0b974b0a08586d93f10385422e252013

Observation 88c8f65c-5bb6-4bad-a27d-9229206d5fb7 · outbound

This paper cites ENPIRE: Agentic Robot Policy Self-Improvement in the Real World.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning ENPIRE: Agentic Robot Policy Self-Improvement in the Real World

Reference 94

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source=arxiv_source observed=2026-08-01T16:19:09.510548Z digest=sha256:3faa505d8f5035f28f54d55432a402bf1714300053ff3ef2792300842b91591d

Observation c70183f4-4b1d-4dd2-a9d0-d500882a440d · outbound

This paper cites arXiv preprint arXiv:2602.11291 , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning arXiv preprint arXiv:2602.11291 , year=

Reference 95

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source=arxiv_source observed=2026-08-01T16:19:09.515542Z digest=sha256:03fa4ba4cf4aa52b51e2eb9b55c71a08403e7435ecb81f5efa2838cca68c665b

Observation 8283fad7-38fe-4014-9bcd-750564a421fb · outbound

This paper cites Advances in neural information processing systems , volume=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Advances in neural information processing systems , volume=

Reference 96

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no resolver link, observed 2026-08-01T16:19:09.520953Z

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source=arxiv_source observed=2026-08-01T16:19:09.520953Z digest=sha256:36d4915f6d6d1a666e5c7fc4415257305567022bb3927524af6181402bfd65eb

Observation 723389e3-86bc-4ff5-96c2-99e4bda0cfda · outbound

This paper cites Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization

Reference 97

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source=arxiv_source observed=2026-08-01T16:19:09.525689Z digest=sha256:0069e52014f08e0547da886feae64833788873d81929ccc982232d198272b61a

Observation 7fc1c70f-2394-4b92-af87-caac4c0b5ba7 · outbound

This paper cites International conference on learning representations , year=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning International conference on learning representations , year=

Reference 98

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source=arxiv_source observed=2026-08-01T16:19:09.530560Z digest=sha256:42573c98dc3998bb42a14b6483d12e9c5d81a157a28e66a8adee74375cb33e73

Observation 6c914c8c-be2f-49f3-8af5-68f7ec6ab359 · outbound

This paper cites 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=

Reference 99

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source=arxiv_source observed=2026-08-01T16:19:09.535624Z digest=sha256:8d651f21943ce74c2b7633de244eea70ee84b6c07cc96ca3d88d0f8a54dd09b7

Observation 382273bf-450d-4a41-86cf-90737f854a14 · outbound

This paper cites Conference on Robot Learning , pages=.

RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning Conference on Robot Learning , pages=

Reference 100

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source=arxiv_source observed=2026-08-01T16:19:09.540151Z digest=sha256:8c1092de410da35a5f41a6175268ed9b34ae04186f284df7772d1248e304400d

Pith citing papers

No inbound Pith citation observations are available.