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Paper Citation Record · LEDGER

Training Strategies for Efficient Embodied Reasoning

As of 16 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 22 inbound Pith citation observations for arXiv:2505.08243.

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

pith.paper-citation-record.v1
2505.08243 v2

Coverage vector

measured 86 of 86 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:04:36.657285Z

measured 108 of 108 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:41:31.454469Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T13:37:06.859851Z

Reference resolution

86 of 86 outbound references displayed

  • verified exact2
  • verified fuzzy11
  • unresolved73
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9e0da638-885c-47b2-b266-61b5f2e562c5 · outbound

This paper cites O’Neill, A.

Training Strategies for Efficient Embodied Reasoning O’Neill, A

Reference 1

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source=pdf_text observed=2026-08-15T22:04:36.333717Z digest=sha256:d852bcdec103f16a403ba96df71f3f263f80509191e4d5e5c11961e92c4ca3c0

Observation 2aa9e067-98c8-41ac-890a-278ab156c153 · outbound

This paper cites Brohan, N.

Training Strategies for Efficient Embodied Reasoning Brohan, N

Reference 2

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source=pdf_text observed=2026-08-15T22:04:36.338080Z digest=sha256:2eb1f4351025bea0f9571e6c2152d52c8c17c4f33af3a1810137ad3f4379748b

Observation 1cdd51ea-7335-4260-a5eb-86ce96741fc1 · outbound

This paper cites Ghosh, H.

Training Strategies for Efficient Embodied Reasoning Ghosh, H

Reference 3

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source=pdf_text observed=2026-08-15T22:04:36.341615Z digest=sha256:0008b24001cb8551b572299989569901870e0e50ea5867f474c4c7fb1a634dfb

Observation eaa68f29-9414-4eff-af7e-44684b2c59f4 · outbound

This paper cites Doshi, H.

Training Strategies for Efficient Embodied Reasoning Doshi, H

Reference 4

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source=pdf_text observed=2026-08-15T22:04:36.345223Z digest=sha256:72a69afa15f94da24ff705c0ad6d6db578c837d5e2ba5dabc34d41d57d2067b1

Observation fca30cfd-a2de-4640-a7e2-1b9e9b2f9d92 · outbound

This paper cites Brohan, N.

Training Strategies for Efficient Embodied Reasoning Brohan, N

Reference 5

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source=pdf_text observed=2026-08-15T22:04:36.349014Z digest=sha256:85a1c2c2812854031f04f344ae28513346745cc27a5fc7b452691bd4d2e139f9

Observation 15cf44bf-9717-4d9a-80d3-ede9cf720d65 · outbound

This paper cites an unresolved cited work.

Training Strategies for Efficient Embodied Reasoning Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-15T22:04:36.352517Z digest=sha256:82b5ba78838a839c468d5368054df01caf5c36fe15ff7d9b34c3ff93b680830f

Observation 83ca0ab3-7864-4022-a2d0-c49bdf1e0484 · outbound

This paper cites Ebert, Y.

Training Strategies for Efficient Embodied Reasoning Ebert, Y

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:04:36.356599Z digest=sha256:5d0d4a810aa6ca05cbb3dba300db6dc4b1a30c0fe7e37c19a5d6010a53e7eb9b

Observation 17c83c4c-7319-41b6-9e8d-d8032a284eff · outbound

This paper cites Walke, K.

Training Strategies for Efficient Embodied Reasoning Walke, K

Reference 8

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source=pdf_text observed=2026-08-15T22:04:36.359647Z digest=sha256:99c3e0a371abf0e184a26d77b39e1c5d44df3a79a64dc5ea4b901bda9d1ba5d5

Observation ca644770-beb0-4fc5-a22d-9f5748ab8de9 · outbound

This paper cites Rosete-Beas, O.

Training Strategies for Efficient Embodied Reasoning Rosete-Beas, O

Reference 9

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source=pdf_text observed=2026-08-15T22:04:36.363044Z digest=sha256:087e36db1c2ef2757e7804844f424c72d2fc7496f11b9eb9da0b253c34f517bf

Observation e1aa2945-4184-4ccb-9e0f-61acdcf5380e · outbound

This paper cites Black, N.

Training Strategies for Efficient Embodied Reasoning Black, N

Reference 10

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source=pdf_text observed=2026-08-15T22:04:36.366192Z digest=sha256:52616af48fe940ebeccf0c07b86bc344601f19c333307dfaace0e002f78b1df6

Observation a876fc07-4ec6-468f-8acd-8573d8fd3e19 · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

Training Strategies for Efficient Embodied Reasoning GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 11

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source=pdf_text observed=2026-08-15T22:04:36.369271Z digest=sha256:6b55cf5730aab6a64c67160854570e6230dcedc5a4541a6b33a663654b57cf84

Observation 25e558ec-e217-42f4-9311-70240b13217f · outbound

This paper cites Jones, O.

Training Strategies for Efficient Embodied Reasoning Jones, O

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-15T22:04:37.620345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.372690Z digest=sha256:45e58fb63e9cfbb51682077779008624f4d38cb1e764e277d007c03d7ee5a72e

Observation 30055d34-7ab0-4b3e-9974-361af1ee686c · outbound

This paper cites 3D-VLA: A 3D Vision-Language-Action Generative World Model.

Training Strategies for Efficient Embodied Reasoning 3D-VLA: A 3D Vision-Language-Action Generative World Model

Reference 13

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source=pdf_text observed=2026-08-15T22:04:36.375870Z digest=sha256:b5e6eb59c47ffb0338a4f735293eedf289246eb0105f08c7cb31ce390569c089

Observation eb0d873f-4d44-4f0f-843b-49a384be80f9 · outbound

This paper cites Zawalski, W.

Training Strategies for Efficient Embodied Reasoning Zawalski, W

Reference 14

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raw_fallback, observed 2026-08-15T22:04:37.609002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.379406Z digest=sha256:3ca346d61bb45964b8a842e48bb153de1ba9fff454d9bd4304435b03a173b449

Observation e5b8237d-9d06-4932-9521-f80700d0b99d · outbound

This paper cites an unresolved cited work.

Training Strategies for Efficient Embodied Reasoning Unresolved cited work

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:04:36.382230Z digest=sha256:84ad56804c921043af9fac9b9e2fc42bf256b8bd95c8b18c6b82a527df3ebf64

Observation d7098f94-b0e6-47f7-be44-8f5770ff3a9c · outbound

This paper cites Kojima, S.

Training Strategies for Efficient Embodied Reasoning Kojima, S

Reference 16

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source=pdf_text observed=2026-08-15T22:04:36.385487Z digest=sha256:a80122502fbe91e365ffb4c95de21bbce46eedbe2cffe68d018888f1eb926add

Observation 8a10930b-636e-4676-a7d6-44f6ea52c7e3 · outbound

This paper cites TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies.

Training Strategies for Efficient Embodied Reasoning TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies

Reference 17

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source=pdf_text observed=2026-08-15T22:04:36.389557Z digest=sha256:08cecce86221b9004c4e467f4224e8c2c239b44871623923c9ef22f9524515bb

Observation d57ae49f-96f5-4c7f-a954-d89a62e4adfd · outbound

This paper cites an unresolved cited work.

Training Strategies for Efficient Embodied Reasoning Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-15T22:04:36.393297Z digest=sha256:aa4857cbc06720ce74515885bfbfa2e84c0f801717272568b75ac768f2d9eaae

Observation 0675fc22-044b-4d12-a1fb-6110ef39b005 · outbound

This paper cites Borja-Diaz, O.

Training Strategies for Efficient Embodied Reasoning Borja-Diaz, O

Reference 19

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raw_fallback, observed 2026-08-15T22:04:37.582097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.397021Z digest=sha256:4324c2bb5373b480b903f40a8f35ebcbeed076493583906c6d45678301b2d6b1

Observation 35b5d70f-f1d9-4269-acb3-22600b34b568 · outbound

This paper cites LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning.

Training Strategies for Efficient Embodied Reasoning LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

Reference 20

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source=pdf_text observed=2026-08-15T22:04:36.400597Z digest=sha256:55bce22a9293c77b0358fd0ce655517f17706d7086aae9159cc769a647a62ee5

Observation ef99f375-9b4a-4155-a795-c003e767e133 · outbound

This paper cites Karamcheti, S.

Training Strategies for Efficient Embodied Reasoning Karamcheti, S

Reference 21

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source=pdf_text observed=2026-08-15T22:04:36.404311Z digest=sha256:1fe7dc83a8c2382fb1903cafdf64adb8148472fb5cd99970ff2f4601374feb98

Observation 2c97299c-b976-43b8-8891-b11c4ef0fa06 · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

Training Strategies for Efficient Embodied Reasoning PaliGemma: A versatile 3B VLM for transfer

Reference 22

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source=pdf_text observed=2026-08-15T22:04:36.408430Z digest=sha256:bcaa0d88e0c471c612b1712d4dacb2ea013abf07a24a51228cad2babeab7d79c

Observation 5e414fdf-35b2-480f-bf97-e29a656c8f8a · outbound

This paper cites Steiner, A.

Training Strategies for Efficient Embodied Reasoning Steiner, A

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-15T22:04:37.563375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.412219Z digest=sha256:230a7735cf09eddb3c8b293f2e13c1fac2a5c7da5c9c09d279125bc611554720

Observation e61b5177-b624-435c-86ee-c308906f0b06 · outbound

This paper cites an unresolved cited work.

Training Strategies for Efficient Embodied Reasoning Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-15T22:04:36.419741Z digest=sha256:f3c563a08a6a8753309d614efcb6f3ba671f0af1a5fba9804c4d8968e1c277a7

Observation 8d3d43f8-393e-47a8-8201-80cb18f266d4 · outbound

This paper cites From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons.

Training Strategies for Efficient Embodied Reasoning From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons

Reference 25

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source=pdf_text observed=2026-08-15T22:04:36.423364Z digest=sha256:d5397242fb567877ce019d80286f1cf43d80aa7f60f3706196d00dbb8779dce2

Observation 9707227e-64cc-4a4b-b9ce-0bff292976a7 · outbound

This paper cites Huang, F.

Training Strategies for Efficient Embodied Reasoning Huang, F

Reference 26

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source=pdf_text observed=2026-08-15T22:04:36.427195Z digest=sha256:9b4e4398bde36eb42f470a54f8c980103434370433177d04b9472056bb22ed0f

Observation 40148005-5401-4299-9426-f54559a3777b · outbound

This paper cites TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation.

Training Strategies for Efficient Embodied Reasoning TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation

Reference 27

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source=pdf_text observed=2026-08-15T22:04:36.430572Z digest=sha256:1537c5072138ae2898b749c0a26711077ba9aa23ffacbabb7620eb90fd6d8782

Observation 75ae8dd4-9fcc-4f80-aab5-27799984e441 · outbound

This paper cites HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model.

Training Strategies for Efficient Embodied Reasoning HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model

Reference 28

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source=pdf_text observed=2026-08-15T22:04:36.434285Z digest=sha256:1be7be7d3da493b36b23043dda0ea52f654458fc041c1820f45a52b5da02a6c4

Observation 779f6499-6f74-4c10-8ef4-15d6edd958c7 · outbound

This paper cites RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation.

Training Strategies for Efficient Embodied Reasoning RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Reference 29

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source=pdf_text observed=2026-08-15T22:04:36.437986Z digest=sha256:bb9236e583da27df112cec0acc358aab3141c0b86b8ebb368e75d0adc3c8bea2

Observation 42f753de-fdb1-453f-9277-8b7d4d1d57b4 · outbound

This paper cites CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation.

Training Strategies for Efficient Embodied Reasoning CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 30

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source=pdf_text observed=2026-08-15T22:04:36.441826Z digest=sha256:c5b0d9672a805083da754821d329b04d7d54719ab5337f27e36e2c06d4574d41

Observation 10475924-6910-4c80-8826-38d9de94f166 · outbound

This paper cites Belkhale and D.

Training Strategies for Efficient Embodied Reasoning Belkhale and D

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-15T22:04:37.545788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.445396Z digest=sha256:e9795535744d58e3229516c2fcce5cc963635a8413fac5a29db51ccdc90b9420

Observation f6145b8f-7474-4a44-b36e-4d5e62dc103e · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

Training Strategies for Efficient Embodied Reasoning FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 32

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source=pdf_text observed=2026-08-15T22:04:36.449455Z digest=sha256:7ea8dabd18d224a12e95dee890cd2c885549daa0d69f1c824dae61a624fd2980

Observation d540eff0-1573-4682-8634-1f71e5cec322 · outbound

This paper cites Gemini Robotics: Bringing AI into the Physical World.

Training Strategies for Efficient Embodied Reasoning Gemini Robotics: Bringing AI into the Physical World

Reference 33

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source=pdf_text observed=2026-08-15T22:04:36.453246Z digest=sha256:176f446d330d856ef043e77ca067be77b752e1fb6e0b5bb06aedd3bae7877029

Observation b9f63d7c-0819-4586-8c77-cdf4ce1c6fcc · outbound

This paper cites DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control.

Training Strategies for Efficient Embodied Reasoning DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control

Reference 34

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source=pdf_text observed=2026-08-15T22:04:36.457357Z digest=sha256:b32d38e56a365afa6d797d10a26ca9d9a1820ce43e5a0597616b7b328209787b

Observation 159ab61e-1bc9-4bd6-af3e-554d4f615f0f · outbound

This paper cites an unresolved cited work.

Training Strategies for Efficient Embodied Reasoning Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-15T22:04:36.461281Z digest=sha256:87ead9326538907cb0bb3f0c13057b82a8a7b1546898fccb8794e39dd99e5645

Observation 523c5ac4-96ee-4ede-af57-265b501364c9 · outbound

This paper cites Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments.

Training Strategies for Efficient Embodied Reasoning Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:04:36.465152Z digest=sha256:93a4cdba1ad767717ef42029f1a9bf39d46c597eb4219c7935feb52093277c4f

Observation bf30e1f6-6838-4a8c-bbbf-bf4efef52fef · outbound

This paper cites On Bringing Robots Home.

Training Strategies for Efficient Embodied Reasoning On Bringing Robots Home

Reference 37

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source=pdf_text observed=2026-08-15T22:04:36.469109Z digest=sha256:108ece6132fdbf35d385a3fb60b508fc1077c037e1af8da9fc0e85136cdf8b48

Observation 9be5d440-754c-4081-9b30-560c108fb6e0 · outbound

This paper cites Data Scaling Laws in Imitation Learning for Robotic Manipulation.

Training Strategies for Efficient Embodied Reasoning Data Scaling Laws in Imitation Learning for Robotic Manipulation

Reference 38

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source=pdf_text observed=2026-08-15T22:04:36.473229Z digest=sha256:4f0afd47a6360f189961ff3e31a78a945ec6f97e4fd5122687cc06b02a16b38c

Observation a4505996-a23e-4d73-9a01-e289ccba7525 · outbound

This paper cites Khazatsky, K.

Training Strategies for Efficient Embodied Reasoning Khazatsky, K

Reference 39

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source=pdf_text observed=2026-08-15T22:04:36.477072Z digest=sha256:b3eb7dbbd36b12d536f1883fde8b8dbbd8123711c44f78cf95a7eee938ad69d0

Observation 447f9513-9bd0-4c2d-b2de-2d63239c4ee8 · outbound

This paper cites To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning.

Training Strategies for Efficient Embodied Reasoning To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 40

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source=pdf_text observed=2026-08-15T22:04:36.480304Z digest=sha256:5e98a1bb25e974f0c86633a63a3a7182be9e8f85ec6f090dee151fd477072072

Observation 64b1f3a8-ba01-46b0-b02b-8028f7a04268 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Training Strategies for Efficient Embodied Reasoning Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 41

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source=pdf_text observed=2026-08-15T22:04:36.484687Z digest=sha256:6c10759e85657c5780ff3d4fdb1d8731bb91ba0aa63aeb9fd9ba8cbc8a3d08cd

Observation 61e5adb2-2c92-433f-8b1c-620b48905665 · outbound

This paper cites an unresolved cited work.

Training Strategies for Efficient Embodied Reasoning Unresolved cited work

Reference 42

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.488844Z digest=sha256:12d1eda18b5ca95c48e941d85673d9f4836378ea5a36ad85e8b8c732a8149b3e

Observation 3ee7404a-301b-4f02-9506-7ad658979e19 · outbound

This paper cites Merrill and A.

Training Strategies for Efficient Embodied Reasoning Merrill and A

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-15T22:04:37.510657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.492750Z digest=sha256:d58b16d4e5d4946cede0c201ed9d555b69633e74b6c3c3b740a74fcd22ec8d5d

Observation 0148e727-125d-4995-b33f-f35f397f55a4 · outbound

This paper cites Chain of Thought Empowers Transformers to Solve Inherently Serial Problems.

Training Strategies for Efficient Embodied Reasoning Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Reference 44

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source=pdf_text observed=2026-08-15T22:04:36.501259Z digest=sha256:a318aee1db0f524c66a5fb9284925c8729a45b49d5382ffe1eecb03731d4d438

Observation 30e92e18-fabd-4bea-8d58-86c6b94285fb · outbound

This paper cites The Expressive Power of Transformers with Chain of Thought.

Training Strategies for Efficient Embodied Reasoning The Expressive Power of Transformers with Chain of Thought

Reference 45

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source=pdf_text observed=2026-08-15T22:04:36.496774Z digest=sha256:f044e4850f469a43d7788781963a798844cc8b4add58e1995b1776f41027a470

Observation 93901392-b464-4790-96a0-e1f2d897b7d1 · outbound

This paper cites CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models.

Training Strategies for Efficient Embodied Reasoning CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models

Reference 46

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source=pdf_text observed=2026-08-15T22:04:36.509461Z digest=sha256:3549326492c59d92e119fb0dee8c1ac3a21725da7b98b69098767294a08d04bb

Observation 25b00da5-3da1-40f6-bb4a-98a71955b165 · outbound

This paper cites EMMA: End-to-End Multimodal Model for Autonomous Driving.

Training Strategies for Efficient Embodied Reasoning EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 47

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source=pdf_text observed=2026-08-15T22:04:36.505482Z digest=sha256:b563180c91f60e3b4876ea901e31e4ee6920746912e030681fdec66a4ed82d3b

Observation 99ee8413-b1b9-47f9-8b61-db19cdb08bac · outbound

This paper cites Sharma, A.

Training Strategies for Efficient Embodied Reasoning Sharma, A

Reference 48

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source=pdf_text observed=2026-08-15T22:04:36.518202Z digest=sha256:e51e21d17fc1dd68377b1595eb8a32f05d22ba389cd30227be1a799bacf06aa2

Observation 8000261e-39ab-4cd2-a4ff-5b08694a795b · outbound

This paper cites Action-Free Reasoning for Policy Generalization.

Training Strategies for Efficient Embodied Reasoning Action-Free Reasoning for Policy Generalization

Reference 49

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source=pdf_text observed=2026-08-15T22:04:36.514175Z digest=sha256:994060710344d0c82c8b82d74e743b8816f7635317eb3caa8e4fb992c0a04a1c

Observation c5fa40e5-bc19-4d00-87f2-7212683941e9 · outbound

This paper cites Liang, W.

Training Strategies for Efficient Embodied Reasoning Liang, W

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:04:37.485691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.525807Z digest=sha256:cfd447d17b442999f8a06f9de07f02bc04d597d0165e09533cff766728905e79

Observation 6c9ec5f5-8ed8-469a-b514-da85cefd3fdf · outbound

This paper cites Huang, F.

Training Strategies for Efficient Embodied Reasoning Huang, F

Reference 51

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source=pdf_text observed=2026-08-15T22:04:36.521851Z digest=sha256:38d414cf9d8f6192d5d13384f3f855d7bcd5fc93df7c57a5766dffc5ddf3f83b

Observation 35bd1ad7-b1ac-4220-b262-81d0e94182cd · outbound

This paper cites Belkhale, T.

Training Strategies for Efficient Embodied Reasoning Belkhale, T

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:04:37.468511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.533332Z digest=sha256:ac0edc5d13b138aed8f0989bd20b78800e1863dcdcdf39e63430c0dca7cc5ab4

Observation 5a722945-6fe3-4bad-ba69-478b0e7f28cd · outbound

This paper cites an unresolved cited work.

Training Strategies for Efficient Embodied Reasoning Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-15T22:04:36.529642Z digest=sha256:a631b41ea67235757fac8e3fc7afd4d45cbd48fd309eff62f80be1139def24c8

Observation 8abe80ae-cf8c-4a2e-b291-15955b67cbb1 · outbound

This paper cites an unresolved cited work.

Training Strategies for Efficient Embodied Reasoning Unresolved cited work

Reference 54

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.540915Z digest=sha256:1573c43ec878a2aec1aa208aad4a05b6ef34851ba2659f030ab7d89b4ce78e91

Observation f416d5fd-2632-4bbe-af73-955093ac8931 · outbound

This paper cites RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches.

Training Strategies for Efficient Embodied Reasoning RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches

Reference 55

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source=pdf_text observed=2026-08-15T22:04:36.536979Z digest=sha256:15ea1ff7adf27f44d906d50e2c326baef409c7d30b585a7da51708b1d1604de9

Observation 689d3e72-303d-4a49-a5ae-f33f7f664747 · outbound

This paper cites an unresolved cited work.

Training Strategies for Efficient Embodied Reasoning Unresolved cited work

Reference 56

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.548974Z digest=sha256:f594ed2a1c53d5226c39aaf6eba511d7e3403bd2f16ad3746774c5bb45c4eec4

Observation dab0ca7f-4612-4b22-b18c-168ed173ebdb · outbound

This paper cites Bridging Language and Action: A Survey of Language-Conditioned Robot Manipulation.

Training Strategies for Efficient Embodied Reasoning Bridging Language and Action: A Survey of Language-Conditioned Robot Manipulation

Reference 57

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source=pdf_text observed=2026-08-15T22:04:36.545106Z digest=sha256:02cf210a15c0f20c21e71703945ca0d42ba8b684b509b5a4e7e115ca5e357a12

Observation e8eac7d5-cb56-4d59-ba38-582f9f55c655 · outbound

This paper cites Karamcheti, S.

Training Strategies for Efficient Embodied Reasoning Karamcheti, S

Reference 58

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source=pdf_text observed=2026-08-15T22:04:36.556589Z digest=sha256:c44a8fbe846181ca2922bae4d00d675905bd1419144076c715eb565dec7d6288

Observation 45a60760-62e2-4eb6-89f2-e37c8bd8fbc7 · outbound

This paper cites Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?.

Training Strategies for Efficient Embodied Reasoning Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?

Reference 59

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source=pdf_text observed=2026-08-15T22:04:36.552855Z digest=sha256:1861538ff37839d9037c346451c27f1bbef37da944a6c0c4e4c203c965fa0632

Observation a2e4e5e8-c32a-4c4e-b56b-c6ad69230aec · outbound

This paper cites Driess, F.

Training Strategies for Efficient Embodied Reasoning Driess, F

Reference 60

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source=pdf_text observed=2026-08-15T22:04:36.563847Z digest=sha256:51d1bbd34781d6694d9841e57b6b666c992525de465084cf69de8f4ff2ceedc0

Observation ae1c1362-8326-4f15-8669-b6fd9e1de542 · outbound

This paper cites SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities.

Training Strategies for Efficient Embodied Reasoning SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities

Reference 61

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source=pdf_text observed=2026-08-15T22:04:36.560173Z digest=sha256:66903ad305b8a7fcf710f329d2fb553f3f5b1fe6997682c5c6f4e9b1c17bd63a

Observation bb14b17b-b60d-4771-b65a-90db0e8af768 · outbound

This paper cites What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?.

Training Strategies for Efficient Embodied Reasoning What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?

Reference 63

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source=pdf_text observed=2026-08-15T22:04:36.567450Z digest=sha256:65ecc4eceeb5026b166a5dc504538d02df5d23b665c68261958f02ca6a97ba5b

Observation a989052e-851b-4d04-bd4d-61e44f618768 · outbound

This paper cites Let's Think Dot by Dot: Hidden Computation in Transformer Language Models.

Training Strategies for Efficient Embodied Reasoning Let's Think Dot by Dot: Hidden Computation in Transformer Language Models

Reference 64

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source=pdf_text observed=2026-08-15T22:04:36.577910Z digest=sha256:162fd18cbc4759423ece73b4614064990c0b643025c60814e6f38f0552bc6a65

Observation d0ed8ec2-3628-493c-8c36-037ca21ddf79 · outbound

This paper cites What Do Learning Dynamics Reveal About Generalization in LLM Reasoning?.

Training Strategies for Efficient Embodied Reasoning What Do Learning Dynamics Reveal About Generalization in LLM Reasoning?

Reference 65

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source=pdf_text observed=2026-08-15T22:04:36.574852Z digest=sha256:a16aea3c11771f467a62596fac5930b0462082f7a79563277964cb51bd33e06e

Observation fba831ee-0a2e-4926-af3e-531af1e254a3 · outbound

This paper cites Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.

Training Strategies for Efficient Embodied Reasoning Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

Reference 66

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source=pdf_text observed=2026-08-15T22:04:36.585027Z digest=sha256:28c2dfb41751f9c0818741c44f50f64330470786f91c67a231967cbf103ce5a6

Observation cc0f4467-1979-4066-af18-61269278ac64 · outbound

This paper cites Think before you speak: Training Language Models With Pause Tokens.

Training Strategies for Efficient Embodied Reasoning Think before you speak: Training Language Models With Pause Tokens

Reference 67

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source=pdf_text observed=2026-08-15T22:04:36.581062Z digest=sha256:696e8e91853b6509844a8fcd317723e1b71d7e78addb3d50d5ee1734f1995067

Observation e6276512-0645-4933-879e-881bf037fe75 · outbound

This paper cites Mixing It Up: The Cocktail Effect of Multi-Task Fine-Tuning on LLM Performance -- A Case Study in Finance.

Training Strategies for Efficient Embodied Reasoning Mixing It Up: The Cocktail Effect of Multi-Task Fine-Tuning on LLM Performance -- A Case Study in Finance

Reference 68

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source=pdf_text observed=2026-08-15T22:04:36.593973Z digest=sha256:38ba358f7ac604b3295e9f86576126d41a71059d21a6d44d043dab202335073a

Observation be85d429-a9b1-42fb-9580-1e8f28976b89 · outbound

This paper cites Co-training Improves Prompt-based Learning for Large Language Models.

Training Strategies for Efficient Embodied Reasoning Co-training Improves Prompt-based Learning for Large Language Models

Reference 69

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local_arxiv, observed 2026-08-15T22:04:36.762657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.589873Z digest=sha256:082b35d88aa0e456e37f0eb84f6d24f08aae8428b23c1fa0808c4d9b64bc9f34

Observation 77c7affd-c489-4553-adcb-da3227331272 · outbound

This paper cites an unresolved cited work.

Training Strategies for Efficient Embodied Reasoning Unresolved cited work

Reference 70

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source=pdf_text observed=2026-08-15T22:04:36.602593Z digest=sha256:03c728a7b43cff4efd744a45535982ae6dd6e3ec5ce123ef6ea18c42ca432ebd

Observation 8006606e-b3e3-40d4-9c0c-97baddd4c528 · outbound

This paper cites QueST: Self-Supervised Skill Abstractions for Learning Continuous Control.

Training Strategies for Efficient Embodied Reasoning QueST: Self-Supervised Skill Abstractions for Learning Continuous Control

Reference 71

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source=pdf_text observed=2026-08-15T22:04:36.598012Z digest=sha256:30500c70f9ec3fcf6667738a07d7c51d0b888ab81cb4d97e7cc1d065dbda9807

Observation 9b9cb480-6d8c-4a48-b9bc-13aee45c72df · outbound

This paper cites Tensorrt-llm.

Training Strategies for Efficient Embodied Reasoning Tensorrt-llm

Reference 72

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source=pdf_text observed=2026-08-15T22:04:36.614590Z digest=sha256:8f2367be8139ed16b393da4540cae6fdb18eb3d89b73fcd875bf400910382a6f

Observation 7f67990e-3f85-4af4-9b0c-ce106f2d961a · outbound

This paper cites an unresolved cited work.

Training Strategies for Efficient Embodied Reasoning Unresolved cited work

Reference 73

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.606794Z digest=sha256:54b7e57f395f72a24f618948e84d9be5f352fb42107bb8789e66c24a87ab6c2d

Observation 25e10a63-c75a-4a82-9574-66326359b175 · outbound

This paper cites Kumar, A.

Training Strategies for Efficient Embodied Reasoning Kumar, A

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:04:37.391560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.621594Z digest=sha256:9259f8da1f777b09aec8d3cbf0ebdb34f3ba05e63c7b135e30320cefa5e5dfe0

Observation acc8b2cf-1bb7-485d-8275-20bf5667588b · outbound

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

Training Strategies for Efficient Embodied Reasoning Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 75

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source=pdf_text observed=2026-08-15T22:04:36.624875Z digest=sha256:831d9a55de45c3c39d21aaf13faf43894f02c945480f51800094847fe643efce

Observation 31954804-79e2-4d7d-9cec-5425f789a952 · outbound

This paper cites an unresolved cited work.

Training Strategies for Efficient Embodied Reasoning Unresolved cited work

Reference 76

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.618169Z digest=sha256:31a073754fd5f33d9d9aff41a0a25de0abb4d7dcbe5a237d103c934bc5ec7ffb

Observation 1fae646b-2300-4f1f-ad19-6aa93dedc982 · outbound

This paper cites Touvron, L.

Training Strategies for Efficient Embodied Reasoning Touvron, L

Reference 77

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:04:36.632278Z digest=sha256:b3c5d5652189cfb77e674b85ef427f6918799d9e2fb898bd3719ae2722f6d9d9

Observation 21ee3b24-11c9-447e-9670-e2962a36105a · outbound

This paper cites Oquab, T.

Training Strategies for Efficient Embodied Reasoning Oquab, T

Reference 78

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source=pdf_text observed=2026-08-15T22:04:36.636077Z digest=sha256:d2049cd20ce70d42872c4955da5668ff30a39fe6e569edbf4ed87ace8bf62f30

Observation c842ae52-8b67-401b-9a30-297f717aa66d · outbound

This paper cites Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.

Training Strategies for Efficient Embodied Reasoning Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 79

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source=pdf_text observed=2026-08-15T22:04:36.628583Z digest=sha256:70d8af4d96f9b1a83fe1ad47a99cb415215c55fba93715a39e0cb8313b1ff5b2

Observation bdf31775-beeb-460c-8161-9afe1de3700a · outbound

This paper cites an unresolved cited work.

Training Strategies for Efficient Embodied Reasoning Unresolved cited work

Reference 80

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:04:36.643159Z digest=sha256:9528ab2035a808332a233b7b69a71e7e26b562c10930d3d3c955d804d9878f8e

Observation 2803d7c6-1817-418d-854d-7f9e9ccbe6b9 · outbound

This paper cites van den Oord, O.

Training Strategies for Efficient Embodied Reasoning van den Oord, O

Reference 81

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raw_fallback, observed 2026-08-15T22:04:37.352380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.646673Z digest=sha256:ddbc30c96739a0e5313febf2669e4cd3761f7713b834bd0a31b12dd397cac978

Observation ff1a47dc-95d1-412b-944a-638697312287 · outbound

This paper cites an unresolved cited work.

Training Strategies for Efficient Embodied Reasoning Unresolved cited work

Reference 82

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:04:36.639650Z digest=sha256:25f442fe8d39d99433cdef0759d87f45ec57a5db67569114c0c6c65d6bb46517

Observation 16af42fe-ae3e-41e6-809e-32a47758e908 · outbound

This paper cites The Parallelism Tradeoff: Limitations of Log-Precision Transformers.

Training Strategies for Efficient Embodied Reasoning The Parallelism Tradeoff: Limitations of Log-Precision Transformers

Reference 83

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:04:36.653552Z digest=sha256:1806edc4184417203e37bad89b0549086abe933a8c599e86695d5ad7e393ad89

Observation 17746a2d-eed3-475f-858b-453c881053b1 · outbound

This paper cites preserve.

Training Strategies for Efficient Embodied Reasoning preserve

Reference 84

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raw_fallback, observed 2026-08-15T22:04:37.331018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.657285Z digest=sha256:e5838a8adf2a3dc9dacaf3a05b454106de0fd9855ae80d643013ba9e6e56b444

Observation 8ec227cf-c0ec-4a41-9a09-22ed38d61b21 · outbound

This paper cites an unresolved cited work.

Training Strategies for Efficient Embodied Reasoning Unresolved cited work

Reference 85

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raw_fallback, observed 2026-08-15T22:04:37.341510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.650099Z digest=sha256:cea2c41e06a04314207c8c19e723e6404db3f49fb5734ea63c062eb191a6af6c

Observation 2d80ec2d-3c4a-4421-9b47-fd6046d47d06 · outbound

This paper cites How to prepare your task head for finetuning.

Training Strategies for Efficient Embodied Reasoning How to prepare your task head for finetuning

Reference 2023

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local_arxiv, observed 2026-08-15T22:04:36.727364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-15T22:04:36.610490Z digest=sha256:ea83216af0be5e98b44b4d27e09b680d1fc66f559fc966dc572ff3967ee81119

Observation 8bc9e0ea-02f2-4f5a-8f45-225df8579185 · outbound

This paper cites PaliGemma 2: A Family of Versatile VLMs for Transfer.

Training Strategies for Efficient Embodied Reasoning PaliGemma 2: A Family of Versatile VLMs for Transfer

Reference 2024

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no resolver link, observed 2026-08-15T22:04:36.415615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:04:36.415615Z digest=sha256:f0f42ceef71e7498b2c7749c6b1c54f0c64e348acf564ced32c21adfd6b11c8c

Pith citing papers

Observation 20ff8100-4ca7-47bb-9441-8c965fb14dc3 · inbound

GraphCoT-VLA: A 3D Spatial-Aware Reasoning Vision-Language-Action Model for Robotic Manipulation with Ambiguous Instructions cites this paper.

GraphCoT-VLA: A 3D Spatial-Aware Reasoning Vision-Language-Action Model for Robotic Manipulation with Ambiguous Instructions Training Strategies for Efficient Embodied Reasoning

Reference 8

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unresolved
no resolver link, observed 2026-08-05T21:59:01.209286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:59:01.209286Z digest=sha256:883d9112746cca0a897db687d880c9160d5f16c12e7c1493d4efb58846eb076d

Observation 451320f0-dd92-45fd-8e85-407168da5887 · inbound

Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey cites this paper.

Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey Training Strategies for Efficient Embodied Reasoning

Reference 95

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verified exact
arxiv_id, observed 2026-05-17T20:28:15.961055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-17T20:28:15.818016Z digest=sha256:a96aeca7fdf7cf74be3277136f06040bf430b4da72e61d73e10073b68528f886

Observation fb8a56cb-ec2d-4e5c-9c00-4f399dfe0038 · inbound

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning cites this paper.

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning Training Strategies for Efficient Embodied Reasoning

Reference 35

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verified exact
arxiv_id, observed 2026-05-15T08:02:11.447034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T08:02:11.189795Z digest=sha256:935b249b0b17b904358725a4c032f4f8971b9af918ee462e431fd24b579b8359

Observation 81caf4b3-5bd4-4bee-bbad-5166d924e395 · inbound

Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey cites this paper.

Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey Training Strategies for Efficient Embodied Reasoning

Reference 77

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no resolver link, observed 2026-08-04T09:08:16.019521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:08:16.019521Z digest=sha256:8579251f9b02b1014354595d0f52a57ed70230dba241eb3666c2f65df5e9e6d1

Observation 0398b2b6-653d-4d09-91cc-bf5076335373 · inbound

DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models cites this paper.

DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models Training Strategies for Efficient Embodied Reasoning

Reference 7

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verified exact
arxiv_id, observed 2026-05-18T03:10:48.972174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-18T03:09:09.713822Z digest=sha256:f13d4b1a52cae76e8926e2685585e16568f31eced1d6656156401e653e0e6344

Observation 1ada9042-7d33-4288-813d-4d06bb32cfa0 · inbound

EVE: A Generator-Verifier System for Generative Policies cites this paper.

EVE: A Generator-Verifier System for Generative Policies Training Strategies for Efficient Embodied Reasoning

Reference 8

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no resolver link, observed 2026-08-03T14:10:34.393044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:10:34.393044Z digest=sha256:5e6dc500b44e7ce55936899d0c2d32ecd47dfbe62cf0d1a7e3f806132e91edac

Observation 2bd83c1f-98b4-4efd-854a-a4c440649493 · inbound

Unified Embodied VLM Reasoning with Robotic Action via Autoregressive Discretized Pre-training cites this paper.

Unified Embodied VLM Reasoning with Robotic Action via Autoregressive Discretized Pre-training Training Strategies for Efficient Embodied Reasoning

Reference 36

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no resolver link, observed 2026-08-03T13:29:51.070384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:29:51.070384Z digest=sha256:3c5457d88811fd3d4ecc190e6e367011d4f58079eb125a8e000bfaa6bcaf31f4

Observation 94e60e04-57d3-4790-97b1-c7dcb6b53174 · inbound

PoseVLA: Universal Pose Pretraining for Generalizable Vision-Language-Action Policies cites this paper.

PoseVLA: Universal Pose Pretraining for Generalizable Vision-Language-Action Policies Training Strategies for Efficient Embodied Reasoning

Reference 11

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verified exact
arxiv_id, observed 2026-05-21T13:05:10.025747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-21T13:04:30.544504Z digest=sha256:b8b8226b2d6acc8e9a3c409ecd0873854f68379cf9450663853e7dd1538e702e

Observation 695d346a-885e-4bbe-ab8f-f360d97c2d60 · inbound

PoseVLA: Universal Pose Pretraining for Generalizable Vision-Language-Action Policies cites this paper.

PoseVLA: Universal Pose Pretraining for Generalizable Vision-Language-Action Policies Training Strategies for Efficient Embodied Reasoning

Reference 11

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no resolver link, observed 2026-08-02T21:37:10.787322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:37:10.787322Z digest=sha256:a7d1f7a5c69281e79261744b345fa2a45e67796d4d5cc71f4f5f5c21f7128c2b

Observation 0f321d94-db77-45cb-9aec-8588946b1c8d · inbound

VP-VLA: Visual Prompting as an Interface for Vision-Language-Action Models cites this paper.

VP-VLA: Visual Prompting as an Interface for Vision-Language-Action Models Training Strategies for Efficient Embodied Reasoning

Reference 8

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verified exact
arxiv_id, observed 2026-05-15T00:59:36.782735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T00:54:36.125258Z digest=sha256:6cc64a1bfb21e272c02d3b7940e60a382193a62570c68f0afd205105b4ffeb97

Observation cd3813ec-440b-42c3-87be-a2e62c9aabc0 · inbound

TRAP: Hijacking VLA CoT-Reasoning via Adversarial Patches cites this paper.

TRAP: Hijacking VLA CoT-Reasoning via Adversarial Patches Training Strategies for Efficient Embodied Reasoning

Reference 2

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no resolver link, observed 2026-07-13T19:50:50.950451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T19:50:50.950451Z digest=sha256:af63aca2df0b327e37cb6c5c0a3a086fdcddff8158965e6a31534f3a40066c70

Observation 6cf40e9b-bdcf-4687-a81d-a531c9c364a8 · inbound

Environmental Understanding Vision-Language Model for Embodied Agent cites this paper.

Environmental Understanding Vision-Language Model for Embodied Agent Training Strategies for Efficient Embodied Reasoning

Reference 7

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verified exact
arxiv_id, observed 2026-05-11T12:26:11.056794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T03:36:52.685696Z digest=sha256:851c143ad48b15e3bf8e9ab4336cc1fd3636c139cf0a5a0471a6546a24cea780

Observation e09b5153-3e2c-425c-9c4d-ded9a0310cbc · inbound

Beyond Thinking: Imagining in 360$^\circ$ for Humanoid Visual Search cites this paper.

Beyond Thinking: Imagining in 360$^\circ$ for Humanoid Visual Search Training Strategies for Efficient Embodied Reasoning

Reference 3

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metadata mismatch
arxiv_id, observed 2026-05-12T03:01:18.344630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-12T02:58:46.728868Z digest=sha256:a563049b0a78b9e6dfb73be1453a1cf696c78ed26880344a5e5c93ec090536cb

Observation 75ba3d46-16ff-40f2-a3ca-28d06292c94e · inbound

Revisiting Embodied Chain-of-Thought for Generalizable Robot Manipulation cites this paper.

Revisiting Embodied Chain-of-Thought for Generalizable Robot Manipulation Training Strategies for Efficient Embodied Reasoning

Reference 10

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verified exact
arxiv_id, observed 2026-07-02T03:46:33.301446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T09:40:04.685274Z digest=sha256:2600c5c53b9be063b9b8a4a87be80665f80d5e9384a74299d1affcd56777b50c

Observation f2b8a074-1252-419e-bbfa-09b140029a78 · inbound

DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners? cites this paper.

DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners? Training Strategies for Efficient Embodied Reasoning

Reference 40

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arxiv_id, observed 2026-07-03T11:08:03.074252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T09:42:17.813126Z digest=sha256:a987143fdb68df39c2f84f749b5af6bd958bada18efcbae537e0d2846367911d

Observation faf1eda9-83a1-44b8-9392-2128b4d17f90 · inbound

Training Vision-Language-Action Models with Dense Embodied Chain-of-Thought Supervision cites this paper.

Training Vision-Language-Action Models with Dense Embodied Chain-of-Thought Supervision Training Strategies for Efficient Embodied Reasoning

Reference 14

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verified exact
arxiv_id, observed 2026-06-30T15:44:48.962803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T05:10:51.005004Z digest=sha256:f0bf4ae10eb1a734e9a47723bc3cd1a71eb355385adca7a6866079f06fa75aab

Observation 8f5e6263-7b22-4862-b0d9-716889209cef · inbound

Training Vision-Language-Action Models with Dense Embodied Chain-of-Thought Supervision cites this paper.

Training Vision-Language-Action Models with Dense Embodied Chain-of-Thought Supervision Training Strategies for Efficient Embodied Reasoning

Reference 14

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verified exact
arxiv_id, observed 2026-07-02T20:37:22.353552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T20:29:13.282030Z digest=sha256:7a4c9637185e2f33fe79dce162bee64cac86d5e1794bdd7110cbb5978075fbdc

Observation 9f03ab37-eb46-4b44-8256-c570f73bfebb · inbound

Do Vision-Language-Action Models Mean What They Say? On the Role of Faithfulness in Embodied Reasoning cites this paper.

Do Vision-Language-Action Models Mean What They Say? On the Role of Faithfulness in Embodied Reasoning Training Strategies for Efficient Embodied Reasoning

Reference 6

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no resolver link, observed 2026-07-11T15:16:38.426751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T15:16:38.426751Z digest=sha256:69b7271635643ebbee92dbb28a7cc56ea70b1168609e81de6ae16beeda9d5f03

Observation a185804e-cf60-4653-b464-ed95f389c415 · inbound

APIVOT: Adaptive Planning with Interleaved Vision-Language Thoughts cites this paper.

APIVOT: Adaptive Planning with Interleaved Vision-Language Thoughts Training Strategies for Efficient Embodied Reasoning

Reference 47

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verified exact
local_arxiv, observed 2026-07-10T13:37:06.861034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-10T13:33:17.574108Z digest=sha256:96dfbc94ccd1757d98e6b76ac9e4479259293da9312b85892c3ae55b2be18e27

Observation 400c7946-e052-4d43-89aa-478c300bdf5e · inbound

Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories cites this paper.

Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories Training Strategies for Efficient Embodied Reasoning

Reference 13

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no resolver link, observed 2026-08-02T00:04:00.468016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:04:00.468016Z digest=sha256:1f0ca95363b599fcf6c7422cb7ea9d923d42d92eca9c56c383de929e2d59db46

Observation 284bca53-bfe9-40f6-b039-1ce943b45667 · inbound

Reasoning as a Double-Edged Sword: Architecture and Cross-Stage Robustness in Vision-Language-Action Models cites this paper.

Reasoning as a Double-Edged Sword: Architecture and Cross-Stage Robustness in Vision-Language-Action Models Training Strategies for Efficient Embodied Reasoning

Reference 27

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no resolver link, observed 2026-08-15T15:41:31.454469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:41:31.454469Z digest=sha256:873ffffced3776f910f90a805541046adcea3ceabd956dd3efe2ec1bc6df5712

Observation 6c9638e6-7219-48bb-b32e-acdb61da296a · inbound

RoboInter1.5: A Holistic Intermediate Representation Suite for Embodied World Modeling and Robotic Manipulation cites this paper.

RoboInter1.5: A Holistic Intermediate Representation Suite for Embodied World Modeling and Robotic Manipulation Training Strategies for Efficient Embodied Reasoning

Reference 126

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no resolver link, observed 2026-08-01T14:39:46.327139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:39:46.327139Z digest=sha256:b6b03d48fffdae3b74c749d7f93da4055fbcf4ce6a22584416ee0b05de78979d