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Paper Citation Record · LEDGER

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment

As of 7 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 0 inbound Pith citation observations for arXiv:2607.13429.

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

pith.paper-citation-record.v1
2607.13429 v1

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:16:43.272519Z

measured 83 of 83 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 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

83 of 83 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved82
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a432cfa3-76c1-4fd3-9698-236feff41fb0 · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 1

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source=pdf_text observed=2026-08-02T05:16:34.412095Z digest=sha256:8c186c2109d72cabc8c14168468ac5f97250def3217d1652a9ecf65d7418b64d

Observation c9b6e919-35e8-4215-a4a3-9cfc1be29f38 · outbound

This paper cites Qwen2.5-VL Technical Report.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Qwen2.5-VL Technical Report

Reference 2

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source=pdf_text observed=2026-08-02T05:16:34.505191Z digest=sha256:06a79bf3907e0171c367b036c99d70fc0568ab6aa48a5f467129ca75eba9c3c7

Observation 07f2292b-54fe-48bb-9a87-b7d2d1d9dff5 · outbound

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

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 3

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source=pdf_text observed=2026-08-02T05:16:34.559271Z digest=sha256:21e24dd6ae6cb406606098c03c82413c01da0f098f90bbbc0408f36d72822a5d

Observation 3e3df50f-96c2-40d6-b56c-aa79e2e10b96 · outbound

This paper cites Black, N.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Black, N

Reference 4

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source=pdf_text observed=2026-08-02T05:16:34.679010Z digest=sha256:015e37fb0da313e4713dc82df0b62de49741ebc0e93d8b27b18d04c18cd2b143

Observation 0e0c6efa-09a3-4ff5-9c6d-66c04fd76c97 · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-02T05:16:34.802725Z digest=sha256:8fcb96da567417565a2b584c81afad11e1ce3366014897c1a9f8372ff07e8a63

Observation 6835202a-90c7-42b4-9725-e9ad684f7328 · outbound

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

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment RT-1: Robotics Transformer for Real-World Control at Scale

Reference 6

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source=pdf_text observed=2026-08-02T05:16:34.868707Z digest=sha256:bdb6d0dfaf2ae6684defe4f701c6e8ea4cd5b22a5d81927645e0ded6f72c8671

Observation fba8c69d-dc65-4904-8871-741c40bad58b · outbound

This paper cites Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation

Reference 7

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source=pdf_text observed=2026-08-02T05:16:35.003275Z digest=sha256:25e60dd4d7fbb92c174a8572f229ea8d4bcd26dbbadd1419ea0efa93b95546e5

Observation c49029a8-8853-425d-8c99-ad9837583979 · outbound

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

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

Reference 8

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source=pdf_text observed=2026-08-02T05:16:35.162232Z digest=sha256:48611ec6272c8b76a9b3b09b636cd6228110a73a4ed300ef3115ed3f26940eb3

Observation ad7e238b-e0d0-4901-9ac4-9b147e7c67c4 · outbound

This paper cites Cadene, S.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Cadene, S

Reference 9

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source=pdf_text observed=2026-08-02T05:16:35.236280Z digest=sha256:4332465e1ff4333bc4de25ae18fc6d1ce4dfbb328da168b654f107e33bbb79bb

Observation f7c34079-fe85-4677-91b1-0d98d1ed7f7e · outbound

This paper cites Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets

Reference 10

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source=pdf_text observed=2026-08-02T05:16:35.354226Z digest=sha256:0d23e06652c1e34dcb978f67ca06f8b1059ec58137d3b63a07113e35c4164c9f

Observation 32058b83-d7af-40d9-bab9-98943ad2668d · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-02T05:16:35.477940Z digest=sha256:997eab7e30491d1d176f17c30a20a9416c636f2ddd5d55d1718d63081d278c1f

Observation 1f3625b7-ab88-4dbf-95f6-bce3991d687b · outbound

This paper cites OpenHelix: A Short Survey, Empirical Analysis, and Open-Source Dual-System VLA Model for Robotic Manipulation.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment OpenHelix: A Short Survey, Empirical Analysis, and Open-Source Dual-System VLA Model for Robotic Manipulation

Reference 12

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source=pdf_text observed=2026-08-02T05:16:35.598245Z digest=sha256:846ef8ce47d2894293a27df5898f9c770d4fffe688328dfa2fcf676c37d30ea9

Observation b6905f22-e289-43b1-a258-59fdea5d2c27 · outbound

This paper cites Dalal, U.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Dalal, U

Reference 13

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source=pdf_text observed=2026-08-02T05:16:35.721285Z digest=sha256:10f011e2177e63bc8e0fd4058c4d7650abd0d7c08c602e861a292cbe959f931e

Observation d3549312-bb1a-42eb-bf81-4e7934d8cacc · outbound

This paper cites Constructive Distortion: Improving MLLMs with Attention-Guided Image Warping.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Constructive Distortion: Improving MLLMs with Attention-Guided Image Warping

Reference 14

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source=pdf_text observed=2026-08-02T05:16:35.845001Z digest=sha256:69139799a06a6275643f0d8493995938e8f7eb4823046bab743d88e465c82185

Observation 6eea48aa-4c67-4b1a-a756-535462f0c025 · outbound

This paper cites Dalal, M.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Dalal, M

Reference 15

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

source=pdf_text observed=2026-08-02T05:16:35.975709Z digest=sha256:27f89b135aaff74283669a298de14c0e58e5f28ed79bbf4b84af308f451bf1f3

Observation 13fe496d-df95-46ed-b9cd-2c3070c61821 · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-02T05:16:36.094018Z digest=sha256:4a3cae231119f08c58e89b9d7b592dcdb909a5863a744eb2e99977cdb8fd7a9d

Observation 3643ba16-ed2f-42c8-bf0c-c1501d53511b · outbound

This paper cites Dasari, M.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Dasari, M

Reference 17

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source=pdf_text observed=2026-08-02T05:16:36.214548Z digest=sha256:22a0b5bd4c98d5945ddfc3d6b2e937cfd64adaf180023f7a5e5332f53e923d91

Observation 3f1f803b-08ed-44fd-8da8-47d6811afa53 · outbound

This paper cites Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation

Reference 18

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source=pdf_text observed=2026-08-02T05:16:36.310772Z digest=sha256:360b436b85a3cd73d0d32229325ca938c3771c483bc207cc59bdc13266f55037

Observation 947ce380-dba8-4bbd-95d6-278613e7cb6d · outbound

This paper cites Douillard, M.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Douillard, M

Reference 19

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source=pdf_text observed=2026-08-02T05:16:36.395912Z digest=sha256:1a412c58da1db1902fb3f21ba656a3d95ea84eeea5966ce47a34fb1f98c25dd6

Observation 7b226fce-12e8-4fa9-9b2e-6ad4443603e5 · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment PaLM-E: An Embodied Multimodal Language Model

Reference 20

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source=pdf_text observed=2026-08-02T05:16:36.543711Z digest=sha256:555677d2955145c972a2231b1a5fc487bcf1a29f33450dd83815a1206cbddc58

Observation cbf9c5b8-a28c-4adb-be9f-cd70fd74a5bd · outbound

This paper cites Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better

Reference 21

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source=pdf_text observed=2026-08-02T05:16:36.686137Z digest=sha256:2c047bcc3cb58d86bb74ad118529fe13df1026473960610a3318a661030b3143

Observation cbf63f98-3a4f-4f12-aa44-a059d1d94596 · outbound

This paper cites LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models

Reference 22

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source=pdf_text observed=2026-08-02T05:16:36.791671Z digest=sha256:13971d61473ffc0023bf82b7df59554033d28bfddcee2481a88e51ee3edde242

Observation f29d606c-0a66-4f37-91ba-62e395821720 · outbound

This paper cites Florence, C.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Florence, C

Reference 23

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source=pdf_text observed=2026-08-02T05:16:36.867295Z digest=sha256:84cc512a6299ab4356c1b25eb6917040eaab7ad226ba192258042099f64a9d1f

Observation d023fc94-0bd3-4f98-b89b-fe4b2cc8c1be · outbound

This paper cites Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation

Reference 24

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source=pdf_text observed=2026-08-02T05:16:36.966727Z digest=sha256:59114fe9c67060b22e5f2812b30f06227f034341b1394c208e95aa53f2728c8a

Observation 778c49e9-3e36-4bb2-8e6c-f1df377e5155 · outbound

This paper cites Goyal, H.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Goyal, H

Reference 25

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source=pdf_text observed=2026-08-02T05:16:37.074055Z digest=sha256:cb1116568ba80b2d7509f13103822588dfb93a4cea1a35dc6148d62c284c9533

Observation 6c5a7fde-dedc-402f-b954-b4b2a60868b4 · outbound

This paper cites Gretton, O.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Gretton, O

Reference 26

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source=pdf_text observed=2026-08-02T05:16:37.183980Z digest=sha256:99ac3f5de9ca9874dceacbdba7aa21acebd9180f0f60da5459737f31402d310e

Observation 5453f99c-0668-465c-96a8-042432dd0083 · outbound

This paper cites Grover, A.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Grover, A

Reference 27

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source=pdf_text observed=2026-08-02T05:16:37.264901Z digest=sha256:9ccd222bc86a529a628bd35fd5bb565a493ff44f96af739d04b2e0a5d6c39df5

Observation db151cd0-3904-4ca5-a5e5-a919a17afc78 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Distilling the Knowledge in a Neural Network

Reference 28

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source=pdf_text observed=2026-08-02T05:16:37.430307Z digest=sha256:471b92310623c62d5e35f797bff9d8b52bb45ea76bb67e2130828e5c20591cd0

Observation 67885b24-e7a2-4acd-8d5d-b7ea1f2be22d · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-02T05:16:37.584883Z digest=sha256:55bc0083e4d60dbba1de292e38d1034ffc645e564d5a2eaa95b9686408313591

Observation 44310586-cd9f-456d-9306-8d22e08377cf · outbound

This paper cites Huang, M.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Huang, M

Reference 30

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source=pdf_text observed=2026-08-02T05:16:37.676828Z digest=sha256:05b69591886705b5748fedee15972cb5f457dc87ff84ff5394bc020320fa4b02

Observation f02a61ac-bba8-4ee1-b553-946fc4bd75be · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 31

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source=pdf_text observed=2026-08-02T05:16:37.734747Z digest=sha256:b9414482c8d3ad4ce283888402463325d72e95ad6bbda99d68ac51caa88c549c

Observation bfde45b6-b184-4787-a247-bc5b1b2704ac · outbound

This paper cites DreamGen: Unlocking Generalization in Robot Learning through Video World Models.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment DreamGen: Unlocking Generalization in Robot Learning through Video World Models

Reference 32

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source=pdf_text observed=2026-08-02T05:16:37.830845Z digest=sha256:b82111217ba2351c7c32c5344b0e6069db5271fde0b9216a2254f014907ff748

Observation ca319ef3-06b2-4d0f-a68c-dc7051fd0f70 · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-02T05:16:37.917153Z digest=sha256:58313ebbd6314805bb6b7cf716d2f0542cd7cb85dac1920c29f4ab641930e6e5

Observation b3d314e1-2732-4d87-ad71-7786b8c8ac60 · outbound

This paper cites Kachaev, M.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Kachaev, M

Reference 34

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source=pdf_text observed=2026-08-02T05:16:38.005009Z digest=sha256:3e00208f6a1d76ebe92465a673b6d0f298a10dec5bc25b7ef8217000448cc425

Observation fd1748a1-de63-4a88-8c25-0688e53a9cb5 · outbound

This paper cites Karamcheti, S.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Karamcheti, S

Reference 35

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source=pdf_text observed=2026-08-02T05:16:38.205886Z digest=sha256:1dc01cb29d769b0941ed85bf185cb52c5470226b4fe2b33eaaefd9c8c9be4385

Observation 9c9ccfd9-3dd8-4c17-8aaa-b57bcf40c97f · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 36

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source=pdf_text observed=2026-08-02T05:16:38.262556Z digest=sha256:71b109027318ae13a268f7b71bfebe4336a0a061f57b67f79ac79a77fd4a8f47

Observation 8d871b69-6434-4444-a107-39eef16b63ac · outbound

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

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 37

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source=pdf_text observed=2026-08-02T05:16:38.354158Z digest=sha256:ca04512f81e8d94f59e14eefd5d1d5a47da26a975218ff0e66ba9a1a67a15478

Observation 5ab6d06c-5f4d-408d-b7b7-ae9deff93cce · outbound

This paper cites Kirkpatrick, R.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Kirkpatrick, R

Reference 38

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source=pdf_text observed=2026-08-02T05:16:38.472393Z digest=sha256:5ca5aada113b4313e1f64494a30ee98a5395b85f02ca7a3aa5a959f877a5dd6f

Observation 85ca4eba-5cc3-46e5-87d7-27e836a6525d · outbound

This paper cites Kornblith, M.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Kornblith, M

Reference 39

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source=pdf_text observed=2026-08-02T05:16:38.533572Z digest=sha256:a48cc0930924ab8fc7ed6e0ce8ecbe8c0cc0878f855b768f97b7df0369059f4b

Observation f63768b8-483d-48c3-bd2d-b794e5ad7bb9 · outbound

This paper cites MolmoAct: Action Reasoning Models that can Reason in Space.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment MolmoAct: Action Reasoning Models that can Reason in Space

Reference 40

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source=pdf_text observed=2026-08-02T05:16:38.640645Z digest=sha256:3652c2617903e92a68aff5e7dde5401def889be01572f7ac8d3d4d7f23c0c3d1

Observation cd773209-a3a1-4cfd-8b6c-67e9527a4a12 · outbound

This paper cites Li and D.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Li and D

Reference 41

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source=pdf_text observed=2026-08-02T05:16:38.719849Z digest=sha256:06b9191a3a614d236c8fa5ac94372b77b3eb08a81ca0dda8406938c58c3819b7

Observation d8c36caa-88c3-48f4-832a-c45683e1f3ed · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-02T05:16:38.805697Z digest=sha256:a762c077590ce9e3d83fd195d3cc4d9dc9d98bfc2377965dce495c66815b8d47

Observation 54fea40b-07c2-4328-bae1-71a7d0e0786e · outbound

This paper cites Vision-Language Foundation Models as Effective Robot Imitators.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Vision-Language Foundation Models as Effective Robot Imitators

Reference 43

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source=pdf_text observed=2026-08-02T05:16:38.875488Z digest=sha256:5eee7455a0f63c6fd23166ed4d12a79da5bde2a70c3be289144bf9d4c93c086f

Observation ddaa59e2-dbf6-4953-8cb0-a2f2ba6ac4c1 · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 44

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source=pdf_text observed=2026-08-02T05:16:38.976561Z digest=sha256:722f4101c6cb460d7218712853ab417ac671450998a3a4b5b94a12bc1fcfa8de

Observation abaa6dbb-2b60-4800-b87b-6bcf1600c0b0 · outbound

This paper cites Unified Video Action Model.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unified Video Action Model

Reference 45

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source=pdf_text observed=2026-08-02T05:16:39.037330Z digest=sha256:9ac2a77fa4bef6058eff1bb3e8712cced8a2e7460791cdf3366de1eb8adac7ea

Observation d9cc3983-6d1e-4ce9-8ef2-363af7e7061a · outbound

This paper cites Auxiliary Tasks in Multi-task Learning.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Auxiliary Tasks in Multi-task Learning

Reference 46

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source=pdf_text observed=2026-08-02T05:16:39.099942Z digest=sha256:01000bbe55e52d59e5aa4c5209529c6e0bd69ccc5105f77a41b56c5a717a15f8

Observation 083834b2-7300-4db7-a335-2383232d0c39 · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-02T05:16:39.146064Z digest=sha256:7fa6dde64b158c90f398afff386a08b0f67005f5acaa3be7ca6cf9b20c4b90b3

Observation a9cdeef2-57ff-4d66-b249-32e3c9a3d104 · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-02T05:16:39.198043Z digest=sha256:5842e679d8774b536f1ba445ec49083d6e55ebea6c2d67fb0e8114ef1598d2cd

Observation 028bb42c-bece-4f60-b64f-a5f0f7207c2e · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-02T05:16:39.277548Z digest=sha256:72acd15807f86b303fd766442ad8414567f4287c091a81a026373845599ffef8

Observation 0a8ef4b4-b72b-4691-9794-77a5cd43c80c · outbound

This paper cites Majumdar, A.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Majumdar, A

Reference 50

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source=pdf_text observed=2026-08-02T05:16:39.361790Z digest=sha256:98a3b1b6aa5d9acaab8fcbd8b2deb7681884af2fd1a1b2d2a572db3745c7c9b4

Observation c3ea42b2-bdbf-4c90-a98e-3259c4f9b2a1 · outbound

This paper cites Mukhoti, Y.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Mukhoti, Y

Reference 51

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source=pdf_text observed=2026-08-02T05:16:39.435523Z digest=sha256:9d55d30e86a960cd1e5d683de64c1f7cbfe715c5f80398e36e70ed2b4d59654c

Observation c55db469-457e-4fb3-b0c7-193f60c48318 · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 52

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no resolver link, observed 2026-08-02T05:16:39.574852Z

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source=pdf_text observed=2026-08-02T05:16:39.574852Z digest=sha256:c84b26cc98f6f793f868cdb30a3e4ea37f25e719eac27fd242d90030646b4b0f

Observation 1f6d6f8b-99dd-4034-b715-e1d583bf59c3 · outbound

This paper cites O’Neill, A.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment O’Neill, A

Reference 53

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source=pdf_text observed=2026-08-02T05:16:39.675335Z digest=sha256:fd0423c86763abd33776bd5e039394f7a88238cc06e264c164759edb040049ce

Observation 06e6390d-0d8c-4dcd-a061-36ff55058469 · outbound

This paper cites Oquab, T.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Oquab, T

Reference 54

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no resolver link, observed 2026-08-02T05:16:39.725660Z

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source=pdf_text observed=2026-08-02T05:16:39.725660Z digest=sha256:7a1812ace5de215c88d703813b86dff114c2e554b82bca87aa801bce48c293b1

Observation 19a5e168-4a03-4a8c-b82c-b3f605f6536e · outbound

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

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 55

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source=pdf_text observed=2026-08-02T05:16:39.787031Z digest=sha256:e4d8558162a1d20b708ff292281af93d5d17627f34593ff5f66707cc9f7a0ba6

Observation f2a35faf-61c8-4163-ba10-e87a01e9232f · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 56

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no resolver link, observed 2026-08-02T05:16:39.933010Z

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source=pdf_text observed=2026-08-02T05:16:39.933010Z digest=sha256:6f928cb5ea7d497dc37dc8fba337f9c0d067ed8b751e562b9add5b87b7a03517

Observation 9a7d65cc-e808-49d6-ab55-5a83e915bb8a · outbound

This paper cites SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model

Reference 57

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no resolver link, observed 2026-08-02T05:16:40.074425Z

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source=pdf_text observed=2026-08-02T05:16:40.074425Z digest=sha256:21f171ceff42eea62bbad10c448838ec1b4d136b316a43d0929b253cc936a1ee

Observation 7331922d-8f5c-4933-9a9e-26e711998672 · outbound

This paper cites Radosavovic, B.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Radosavovic, B

Reference 58

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source=pdf_text observed=2026-08-02T05:16:40.196662Z digest=sha256:f22843dcc612a4a58c59d5822aaeeff3282f2c368ebbc6150b82618ea32d667d

Observation 142a6134-c2b3-4bfc-85ef-c37f68468b95 · outbound

This paper cites Radosavovic, T.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Radosavovic, T

Reference 59

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no resolver link, observed 2026-08-02T05:16:40.423093Z

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source=pdf_text observed=2026-08-02T05:16:40.423093Z digest=sha256:5a82c5c8be86b7ccd54ee0158e42eff2c79d7364df79d498acd69f9c0593d47c

Observation ca8d1961-63c0-4489-b5d5-66a0139b273d · outbound

This paper cites RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning

Reference 60

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no resolver link, observed 2026-08-02T05:16:40.524567Z

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source=pdf_text observed=2026-08-02T05:16:40.524567Z digest=sha256:0552498b152dc49cfd78ae3ccc913a2308f7ac23565ba3583c86ebb0de1bf89f

Observation c2a4dbc0-6706-4dd0-89b2-13d129bca8fd · outbound

This paper cites A Generalist Agent.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment A Generalist Agent

Reference 61

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source=pdf_text observed=2026-08-02T05:16:40.636913Z digest=sha256:022c7ed7bc942504f5a9750ce50b4ef77fa1165aea55a2a10a097a8cf01d56cf

Observation 0b4467a4-3982-44ad-b300-c8fcccc2f0ba · outbound

This paper cites Reuss, J.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Reuss, J

Reference 62

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source=pdf_text observed=2026-08-02T05:16:40.736569Z digest=sha256:92236203eed6283dad617269fbc070488df5b3259d3407bf846ae5607fa2e670

Observation 8b2b7956-5f08-4420-bf77-33ae8ccf4041 · outbound

This paper cites Rigter, T.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Rigter, T

Reference 63

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no resolver link, observed 2026-08-02T05:16:40.851373Z

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source=pdf_text observed=2026-08-02T05:16:40.851373Z digest=sha256:d63254d91b761c62f87c329ff12b9ea8949fcce363afd89efbe70453b4d9efca

Observation 17503204-a2a4-40d0-92a8-cdd3044f16c3 · outbound

This paper cites Romero, N.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Romero, N

Reference 64

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no resolver link, observed 2026-08-02T05:16:40.938351Z

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source=pdf_text observed=2026-08-02T05:16:40.938351Z digest=sha256:246841c97c65f80aa474493463d6fe82b9496294ff5f8d06ed21ada914e9a4b7

Observation aa781301-7d24-45cf-80d4-5269f13283ad · outbound

This paper cites Routray, H.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Routray, H

Reference 65

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no resolver link, observed 2026-08-02T05:16:41.002552Z

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source=pdf_text observed=2026-08-02T05:16:41.002552Z digest=sha256:e1a0d65f3ccc4d0f24495cf755c0d78a33e948f139a8968fbb05ed2007a3bc35

Observation fb4bf39f-cdc0-4840-b5e5-8966438b5801 · outbound

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

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 66

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no resolver link, observed 2026-08-02T05:16:41.128944Z

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source=pdf_text observed=2026-08-02T05:16:41.128944Z digest=sha256:391a995af562ae313b4f10e801df5a56dafd6523dcd7c26a10e4cde310028c42

Observation 17237611-9e7c-4840-8fe6-2d3c06c5bca2 · outbound

This paper cites Singh, V.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Singh, V

Reference 67

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source=pdf_text observed=2026-08-02T05:16:41.202942Z digest=sha256:19a26936a28386787c0f5fbeb703b6f65b1b14ac889d88f40bed3fb19d0b73aa

Observation 432ac8cd-3b5a-4d82-bd7f-38db2c5679f7 · outbound

This paper cites ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver

Reference 68

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no resolver link, observed 2026-08-02T05:16:41.306473Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T05:16:41.306473Z digest=sha256:4764ec7157d47518a19aaa64b38e6dcbfbc699be3ee8d10a1680c23a1e6ccbed

Observation 98d42bb4-cad9-44c5-a299-e790cd1f49d9 · outbound

This paper cites StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing

Reference 69

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no resolver link, observed 2026-08-02T05:16:41.414796Z

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source=pdf_text observed=2026-08-02T05:16:41.414796Z digest=sha256:eee114929d01e9b2947a82088158fc3b9efac52580b36bd67717234d6a066615

Observation bb4c4980-7df0-4b6a-a66a-144ae1c920a9 · outbound

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

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Octo: An Open-Source Generalist Robot Policy

Reference 70

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no resolver link, observed 2026-08-02T05:16:41.585501Z

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source=pdf_text observed=2026-08-02T05:16:41.585501Z digest=sha256:e80e3dcc0315dc5289c279f6cd2842659811cff2b38e92bf156fbcdc7a9c7515

Observation 74bbf02b-11fb-4a47-bbee-ad2bde815c5f · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 71

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unresolved
no resolver link, observed 2026-08-02T05:16:41.721918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:16:41.721918Z digest=sha256:374deed4f81011361e1c33148607d94676185359c303c41267a0e2e5cdf5fd1f

Observation 16e2a841-c349-46bd-9a31-1b7a7cbbed17 · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 72

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no resolver link, observed 2026-08-02T05:16:41.862581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:16:41.862581Z digest=sha256:5a54259a0ba2c53a2abea693303edc9d477544924714a67820b703bff7ca143f

Observation a4f677f2-1158-4d14-a2e2-fb5d0e5a5a62 · outbound

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

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control

Reference 73

Resolution
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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T05:16:41.979296Z digest=sha256:f6f1a8f952f71abc8368b5adca224c992ec3b2ea98abbc36f2c73d240bd04b1b

Observation a005c2bf-dea8-4b41-bcd3-18a5fd755ec1 · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 74

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no resolver link, observed 2026-08-02T05:16:42.145680Z

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source=pdf_text observed=2026-08-02T05:16:42.145680Z digest=sha256:d9af2acdd7d66822b91750167bf5c91f8f9320a4e65769474ec1bfb0d8f34fe5

Observation d6eda565-5c5b-4ccb-9517-ac46d5896b21 · outbound

This paper cites Qwen2.5 Technical Report.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Qwen2.5 Technical Report

Reference 75

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no resolver link, observed 2026-08-02T05:16:42.271935Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:16:42.271935Z digest=sha256:b5d1039d0ad8dc8b4dcca4f65fbff7823c6acb43a22195a9973b40cb4b7defea

Observation 986d9619-0c4b-4506-8428-9ce99bc7cdba · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 76

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no resolver link, observed 2026-08-02T05:16:42.374488Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T05:16:42.374488Z digest=sha256:0590b975ef9bdf451217c93cce05cf8c12d8660c6f876ab73abdbe602acc61ea

Observation 99966d89-e574-4b73-8c04-63ee477dcdf0 · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 77

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unresolved
no resolver link, observed 2026-08-02T05:16:42.467879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:16:42.467879Z digest=sha256:6f711a9f9d923b08ab71018aedc2f7140c1df9bffb821fee88f86c63605b97f1

Observation 83ff9adb-1577-4629-a12b-d5ed49065b5f · outbound

This paper cites Robotic Control via Embodied Chain-of-Thought Reasoning.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Robotic Control via Embodied Chain-of-Thought Reasoning

Reference 78

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no resolver link, observed 2026-08-02T05:16:42.554809Z

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source=pdf_text observed=2026-08-02T05:16:42.554809Z digest=sha256:58201168624c41d0ae1f1fbc68282cd24a278020efec9142ba5a0890ca2e63cf

Observation 852dc5f4-ead3-444a-900d-6a84b09eeeb0 · outbound

This paper cites an unresolved cited work.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment Unresolved cited work

Reference 79

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unresolved
no resolver link, observed 2026-08-02T05:16:42.725416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:16:42.725416Z digest=sha256:2469b31d66c63d72d990d8cd8e34f7e62d8fffe1db1c07ad9e8613dea33d135d

Observation a6b515d6-a881-446b-80af-08b3a00e6b02 · outbound

This paper cites LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-02T05:16:42.876107Z

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source=pdf_text observed=2026-08-02T05:16:42.876107Z digest=sha256:9099630ac33474031925e732efa0b484bebd076c99ae443a89f0a9329ab0de75

Observation 731e90b9-b286-469b-b613-037f883a850c · outbound

This paper cites ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-02T05:16:43.005296Z

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source=pdf_text observed=2026-08-02T05:16:43.005296Z digest=sha256:a809f786d96068a816fa338c7e86d9a5e1fc2df71aee44a0e0cb8cfd20afea87

Observation 5d4e160d-c8c2-441f-ad35-0690867a9bb5 · outbound

This paper cites ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-02T05:16:43.132982Z

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source=pdf_text observed=2026-08-02T05:16:43.132982Z digest=sha256:2394cb3d5c98b85bbd189bc9e5314122a0534b4de51ee8789990d344729f17c3

Observation e9a0490a-52fa-41e6-8708-50145d267600 · outbound

This paper cites In this current state do you think the robot has completed the task:{task}? Answer in one word yes or no.

Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment In this current state do you think the robot has completed the task:{task}? Answer in one word yes or no

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-02T05:16:43.272519Z

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source=pdf_text observed=2026-08-02T05:16:43.272519Z digest=sha256:6c678e7a0193ca10829b7c817cc2ddbc6a2d6116c8ca01daf4ba4d4b7cebd032

Pith citing papers

No inbound Pith citation observations are available.