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Paper Citation Record · LEDGER

AttenA+: Rectifying Action Inequality in Robotic Foundation Models

As of 6 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 4 inbound Pith citation observations for arXiv:2605.13548.

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

pith.paper-citation-record.v1
2605.13548 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T21:42:05.592911Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:29:15.346799Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T14:27:03.178534Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact29
  • verified fuzzy9
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 40c8f9a7-7b48-4b86-b526-bc7a4b549d28 · outbound

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

AttenA+: Rectifying Action Inequality in Robotic Foundation Models OpenVLA: An Open-Source Vision-Language-Action Model

Reference 1

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verified exact
local_arxiv, observed 2026-06-30T21:45:05.665442Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:ce123fc068f4c3b48ecdd424a1185a6112a76f2e1f69f81750f07d998385b05e

Observation 3fa165b8-a86b-4a30-800c-ac5d5740d42a · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 2

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verified exact
local_arxiv, observed 2026-07-01T14:25:45.899737Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:14ae74cfede7662222f20656f5171247f4b713ce4811296c939d7ea4a6d90310

Observation c633f7c6-d837-4f16-998b-c642ee24d22f · outbound

This paper cites Structured Observation Language for Efficient and Generalizable Vision-Language Navigation.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Structured Observation Language for Efficient and Generalizable Vision-Language Navigation

Reference 3

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verified exact
arxiv_id, observed 2026-07-28T02:22:29.585363Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:4367a6fbd57f7e8d7960bc2470cc67faa7015b4782f5ab4cdf324eb4cae2beb1

Observation a417b3ea-dedb-4f3e-9497-0a19f7d31b20 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models RT-1: Robotics Transformer for Real-World Control at Scale

Reference 4

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verified exact
local_arxiv, observed 2026-06-30T21:45:05.709714Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:044372e2146c0ddb7839ffca9956dad70379dac1ff97df7dd132b2ac0c5448f6

Observation ed909ee6-3f83-41a5-b679-65b8c248e3fb · outbound

This paper cites Rt-2: Vision-language-action models transfer web knowledge to robotic control.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Rt-2: Vision-language-action models transfer web knowledge to robotic control

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.891640Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:086ffe1215d264d3c5dca3553df2ef856ae53f912af0ad9d6dbd109a3c853b42

Observation eded871b-c68e-4bbf-88cb-450cd0f696d6 · outbound

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

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Octo: An Open-Source Generalist Robot Policy

Reference 6

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verified exact
local_arxiv, observed 2026-06-30T21:45:05.687133Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:428c7e0f4d449d159341d71e94437421587235270c4b652d6a3c64b64c012290

Observation 305f0497-8340-4c86-bc88-cd1f6605e652 · outbound

This paper cites UniVLA: Learning to Act Anywhere with Task-centric Latent Actions.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

Reference 7

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verified exact
local_arxiv, observed 2026-06-30T21:45:05.676169Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:3139e6c70f78d416a65a69c0a7697a12d1e9c17d1fc66e41ee65edeecb16e2a3

Observation 11c048c3-841c-43a3-9da2-15ea85e6fc91 · outbound

This paper cites WorldVLA: Towards Autoregressive Action World Model.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models WorldVLA: Towards Autoregressive Action World Model

Reference 8

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verified exact
local_arxiv, observed 2026-06-30T21:45:05.673515Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:03b5bb6b4d0e80404fed88cb94a68b59e814be3e9a03a8be31aa0b2559c57f4e

Observation 3571ab67-1566-42c4-9a6c-2888deb29baa · outbound

This paper cites LOVON: Legged Open-Vocabulary Object Navigator.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models LOVON: Legged Open-Vocabulary Object Navigator

Reference 9

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verified exact
arxiv_id, observed 2026-06-30T21:45:05.679253Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:6efd6cc37726103921b6a6fe41addd764f9a82bac03171fa3e8c01045d2355df

Observation 7d4b0bd6-21fc-45a0-9b00-c42f5520b7c1 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 10

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local_arxiv, observed 2026-06-30T21:45:05.681721Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:fa11313d352f5f1eff0bf8828c64f6aa7e0d5286b6a259dcf51a438b6a644393

Observation b1c59c11-96ee-40b3-aa57-bf513772567e · outbound

This paper cites Compose your policies! improving diffusion-based or flow-based robot policies via test-time distribution-level composition.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Compose your policies! improving diffusion-based or flow-based robot policies via test-time distribution-level composition

Reference 11

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verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.894436Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:6ac09938af68b8e605ae4b21a9a51fb195d4a65ce9cf406a298a39e85ebae868

Observation 7bf21d49-e4ed-4d35-be7d-ce877d41f07d · outbound

This paper cites Robot Data Curation with Mutual Information Estimators.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Robot Data Curation with Mutual Information Estimators

Reference 12

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verified exact
arxiv_id, observed 2026-06-30T21:45:05.695539Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:21190e0df1887ae4a901bdedb21244b12223f795f6b865b2270ed711208f194e

Observation 2f0dba01-c5eb-4ffe-bf54-c397d5498b32 · outbound

This paper cites Motus: A Unified Latent Action World Model.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Motus: A Unified Latent Action World Model

Reference 13

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verified exact
local_arxiv, observed 2026-06-30T21:45:05.689680Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:51c2f4bb2d06cc2635693950b8bb0ce48bb0c3e3093b8e314d87b09710c49e80

Observation 5f6f3001-771e-4d47-b00b-a53d32ea2798 · outbound

This paper cites Causal World Modeling for Robot Control.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Causal World Modeling for Robot Control

Reference 14

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verified exact
local_arxiv, observed 2026-06-30T21:45:05.692612Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:78a99efb2882e6d3c518fab548efbda7186d26fed7dcc8d98f6e80844cc1c501

Observation 20af6a5a-e969-4aee-880d-c7709445f7e8 · outbound

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

AttenA+: Rectifying Action Inequality in Robotic Foundation Models LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

Reference 15

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verified exact
local_arxiv, observed 2026-06-30T21:45:05.721649Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:bcc586ca6c8bfe9014d1321141b246ac8634ca388749e86e8a695af7fb8791a0

Observation c674f108-d388-4378-b052-f2687e754190 · outbound

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

AttenA+: Rectifying Action Inequality in Robotic Foundation Models RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-06-30T21:45:05.698226Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:93cb52c399b8c5bb2fd49cc989f80a67ceae084e87c57fa7e8bdedddded65143

Observation 7d01e14a-03fb-4e2c-a49a-8bcfeec0bcda · outbound

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

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 17

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verified exact
local_arxiv, observed 2026-07-01T14:25:45.908054Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:f38d32329304238f95576f2636c74f6e4547c9c682bfa03f1bb84b74599b027a

Observation 2ca1b61b-63aa-4c24-be5e-a7636e2657ee · outbound

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

AttenA+: Rectifying Action Inequality in Robotic Foundation Models FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 18

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verified exact
local_arxiv, observed 2026-06-30T21:45:05.701515Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:66170a928dd26a36577d9dc664826d88d9277edaa32a6c582a319d60d5983817

Observation 8e5ccc5c-55d0-461d-9c1e-e760f04094a4 · outbound

This paper cites Action-aware dynamic pruning for efficient vision-language-action manipulation.arXiv preprint arXiv:2509.22093.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Action-aware dynamic pruning for efficient vision-language-action manipulation.arXiv preprint arXiv:2509.22093

Reference 19

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arxiv_id, observed 2026-06-30T21:45:05.709556Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:b977f2f1f622947b0d5d540afb29269baaad4c4084463f7b9c52956b2cd720e8

Observation 498dc31b-ca37-4578-a8f7-db801df05129 · outbound

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

AttenA+: Rectifying Action Inequality in Robotic Foundation Models CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 20

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verified exact
local_arxiv, observed 2026-06-30T21:45:05.712384Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:6f3fd1c7c47f964a41895805fce89b729be876c2f730d25f166171f7f6fff9e2

Observation 8269a0e6-931f-451f-8a8b-b2476b34aff4 · outbound

This paper cites SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 21

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verified exact
local_arxiv, observed 2026-06-30T21:45:05.715276Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:867dbb8cbd6c59f291b138203450c3289463deba1eebb5bcebd6b5721c05d5de

Observation 1ee89bd8-3495-45e5-be03-ffdc0e5d971e · outbound

This paper cites NORA: A Small Open-Sourced Generalist Vision Language Action Model for Embodied Tasks.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models NORA: A Small Open-Sourced Generalist Vision Language Action Model for Embodied Tasks

Reference 22

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local_arxiv, observed 2026-06-30T21:45:05.717939Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:a8d6916bf9bf5bfff8e3401da6841b4c7dab0d8766611a0164ae67a96013b775

Observation 256be2dc-0419-4c45-a5b2-aee39925341d · outbound

This paper cites arXiv preprint arXiv:2506.12723 (2025).

AttenA+: Rectifying Action Inequality in Robotic Foundation Models arXiv preprint arXiv:2506.12723 (2025)

Reference 23

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metadata mismatch
arxiv_id, observed 2026-06-30T21:45:05.724776Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:a0647de51bd39c7937aa1b28852e479838153a72d91bfe17a3ed79e56797698e

Observation 012a3ec7-7c05-4075-a2b5-c77670f3a936 · outbound

This paper cites Think Twice, Act Once: Token-Aware Compression and Action Reuse for Efficient Inference in Vision-Language-Action Models.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Think Twice, Act Once: Token-Aware Compression and Action Reuse for Efficient Inference in Vision-Language-Action Models

Reference 24

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verified exact
arxiv_id, observed 2026-07-01T14:25:45.902573Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:d0b4ba9c3c7d41f78b37077036219cb5688501264cb0402a057c9af471b24b79

Observation 092b9e90-1b2b-46da-8205-fa9798c9e833 · outbound

This paper cites Vla-cache: Efficient vision- language-action manipulation via adaptive token caching.Advances in Neural Information Processing Systems, 38:164448–164473, 2026.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Vla-cache: Efficient vision- language-action manipulation via adaptive token caching.Advances in Neural Information Processing Systems, 38:164448–164473, 2026

Reference 25

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verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.900039Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:0d118569b38e4ea7cc9b92dea31f598b0a7ca52702e3f6b2d81045dd1a31da15

Observation be3b58dc-0e32-4199-82e6-2fc9a463cf9f · outbound

This paper cites An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.896295Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:76c633dcda5bbce237a93bc491eb29e913d13184014a68fcb21671113f5ff919

Observation 3893fcc5-32df-4f4f-8ed2-997afa4ca99f · outbound

This paper cites SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference

Reference 27

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local_arxiv, observed 2026-06-30T21:45:05.706588Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:2972d9a1ab985b50f58224a32ea534efe55b2ae3614f97203bb8598168aa7a59

Observation 1c9f1896-f691-40c1-9e1c-95524c93f3bb · outbound

This paper cites Cross-Self KV Cache Pruning for Efficient Vision-Language Inference.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Cross-Self KV Cache Pruning for Efficient Vision-Language Inference

Reference 28

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arxiv_id, observed 2026-06-30T21:45:05.712848Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:9ac017287833c01080aa1d0746e01bcaa77b08960325ca85018a3f9e708689af

Observation e42c888f-5ee3-490d-a229-9769278b31e0 · outbound

This paper cites Fast-WAM: Do World Action Models Need Test-time Future Imagination?.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Reference 29

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local_arxiv, observed 2026-06-30T21:45:05.691179Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:bb95cad660fe1357aac7b1f94f3176b810402c16c7ecb4b125f25586553ae1c7

Observation 00f3dfa7-e157-46b1-9884-96a7d758f920 · outbound

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

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 30

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local_arxiv, observed 2026-06-30T21:45:05.707001Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:d43e5a2e9f22b5f46a5a00890f9d762ececc594f86b428f1913588afffd526f0

Observation c6ab6579-2649-4663-979a-bcfe9734a95b · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, 44(10-11):1684–1704.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, 44(10-11):1684–1704

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.889660Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:985fefbd0280075da7752dbf71360360b167f522944a373ea1d0d5723c097a5a

Observation fc2085d2-d397-4893-a935-1b1aa03c75f3 · outbound

This paper cites Coarse-to-fine imitation learning: Robot manipulation from a single demonstration.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Coarse-to-fine imitation learning: Robot manipulation from a single demonstration

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.898046Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:f5a49a934791e62b9d43ccfa2983e21cdabd26d2b9932914d82da0addb13c0e1

Observation 2b17ff6d-c944-4a9f-a3c2-ca19d9802f81 · outbound

This paper cites Robust Imitation Learning from Noisy Demonstrations.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Robust Imitation Learning from Noisy Demonstrations

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T21:45:05.715730Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:9fcb19d5e56ebcb6265b5c9f035f74063591ca8b161ac9b60508b27ca275bb2d

Observation a6e71e02-0e8b-430f-adac-22f9129e0808 · outbound

This paper cites IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T21:45:05.703533Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:e4939c5fd921e495ebed0aa9a120327e987976a9ce361335056d4186444055c6

Observation 861ad6d5-7160-4a06-80f2-1523c13e246c · outbound

This paper cites Exponentially weighted imitation learning for batched historical data.Advances in Neural Information Processing Systems, 31, 2018.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Exponentially weighted imitation learning for batched historical data.Advances in Neural Information Processing Systems, 31, 2018

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.903839Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:a7f2d1fcfbe5a3f3e9858b7a48d0a6178b57676fa85745c83f55a8df593ed90e

Observation 63149547-c761-475e-97ec-98fb3cd0d894 · outbound

This paper cites Spatial RoboGrasp: Generalized Robotic Grasping Control Policy.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Spatial RoboGrasp: Generalized Robotic Grasping Control Policy

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:25:45.905487Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:700f4d19da6429365000052e595aaecd3d661770439a7382785cf36300b2002e

Observation ab52c26b-2f7e-4744-ba47-3f4a208f91d4 · outbound

This paper cites Interactive language: Talking to robots in real time.IEEE Robotics and Automation Letters.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Interactive language: Talking to robots in real time.IEEE Robotics and Automation Letters

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:58.905632Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:466889959b422ff93fbe9d4439ac620b36b0a9c16f9bf4d2e151e9318c250bc5

Observation 35fd3eed-e005-44f2-a308-b1969383f877 · outbound

This paper cites 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-06-30T21:45:05.685841Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:f99dd3d388ba1cf40339a85dbaf6adc043ed2fca02e49f8a6ae702ebdfd6fd5d

Observation 13454987-49f5-4335-ba6a-b22ce1742863 · outbound

This paper cites Mamba policy: Towards efficient 3d diffusion policy with hybrid selective state models.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models Mamba policy: Towards efficient 3d diffusion policy with hybrid selective state models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T16:13:56.597344Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:de94cf833a34660e6719c76ff72f82feadb3b72cea07d0ea70d2d03c5218f08a

Observation f1e5e62a-ac5b-4606-a409-a92a0a9749db · outbound

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

AttenA+: Rectifying Action Inequality in Robotic Foundation Models X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-06-30T21:45:05.688816Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:f61d3d08ea0c2d15535fb00bd56575c0beb73e07e6363e60cdd2db02fd9da49a

Observation 5c614f5c-af61-4ca5-a05f-db660ab649af · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-06-30T21:45:05.683078Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:c4ec7b3c0e574affee1e1308e898f773b28734d654fd7c8958db4408955553d7

Observation adafe681-79d0-4dd7-b86f-e6fe7762fda6 · outbound

This paper cites stack the blue block on the red block.

AttenA+: Rectifying Action Inequality in Robotic Foundation Models stack the blue block on the red block

Reference 42

Resolution
malformed identifier
raw_fallback, observed 2026-07-07T16:13:58.901995Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-30T21:42:05.592911Z digest=sha256:bd2556ad916a98b52da937ee29b46a47532587194155596c818acc2b9a0410b5

Pith citing papers

Observation 4e9c0be3-b3e4-4f26-97bc-74a620a9e0fe · inbound

GeoSem-WAM: Geometry- and Semantic-Aware World Action Models cites this paper.

GeoSem-WAM: Geometry- and Semantic-Aware World Action Models AttenA+: Rectifying Action Inequality in Robotic Foundation Models

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-02T03:16:34.560378Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-28T10:11:10.246045Z digest=sha256:ab847695413635af0b9ee78db5e16987ef400096576ff69c680f777702cfcc48

Observation 642ea76c-7208-4307-b34e-4d2d8e2fdbe6 · inbound

ABot-M0.5: Unified Mobility-and-Manipulation World Action Model cites this paper.

ABot-M0.5: Unified Mobility-and-Manipulation World Action Model AttenA+: Rectifying Action Inequality in Robotic Foundation Models

Reference 51

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T14:27:03.179896Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-07-02T14:24:23.187164Z digest=sha256:59a8c37014cbee51083aafd1bfc96be5b594580d912a16871992cd456624c5fd

Observation 06e199cd-6c08-45fa-b98e-97ca82cf040b · inbound

ABot-M0.5: Unified Mobility-and-Manipulation World Action Model cites this paper.

ABot-M0.5: Unified Mobility-and-Manipulation World Action Model AttenA+: Rectifying Action Inequality in Robotic Foundation Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-07-12T09:22:08.000379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T09:22:08.000379Z digest=sha256:6855a6ccc041979f20c10bd2d8fbbf5ca3020e479a7e221b3847991462cbb0e8

Observation bf2d4617-930d-4f1e-9159-d16013d3e26b · inbound

LeapBot-WA: World-Anchor Action Models via Predictive Latent Alignments cites this paper.

LeapBot-WA: World-Anchor Action Models via Predictive Latent Alignments AttenA+: Rectifying Action Inequality in Robotic Foundation Models

Reference 95

Resolution
unresolved
no resolver link, observed 2026-07-31T23:29:15.346799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:29:15.346799Z digest=sha256:3563f38a2552a0b8db71ab7cae1e29d8e821293a8cbcbbbc8fdc283953cd5da6