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Paper Citation Record · LEDGER

What Matters in Learning from Large-Scale Datasets for Robot Manipulation

As of 21 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 5 inbound Pith citation observations for arXiv:2506.13536.

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

pith.paper-citation-record.v1
2506.13536 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:02:42.103890Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:56:47.348204Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:09:47.106972Z

Reference resolution

13 of 13 outbound references displayed

  • verified exact1
  • verified fuzzy7
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4db7eb5-326e-4e0d-b622-bf9cf830f4ae · outbound

This paper cites an unresolved cited work.

What Matters in Learning from Large-Scale Datasets for Robot Manipulation Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:02:42.362760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:02:42.061675Z digest=sha256:3e96f112aeff2a8b244187117ee9a3b9c7c7abb7e27ddb1df5ae572ad56d0c27

Observation ae8c966d-1746-4afe-9a71-dfe6444f94fe · outbound

This paper cites an unresolved cited work.

What Matters in Learning from Large-Scale Datasets for Robot Manipulation Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:02:42.352805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:02:42.065360Z digest=sha256:c5d0e6012a5fbd12120b9fe5887af9acf657a05e2fd0843f77cfcc7452742b6c

Observation 6e460ea7-710c-47fb-b03b-593c7e857a9b · outbound

This paper cites an unresolved cited work.

What Matters in Learning from Large-Scale Datasets for Robot Manipulation Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:02:42.342333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:02:42.068605Z digest=sha256:93b0c9b7c486104214905b3a7b68b386f03b5c79c52509f6e8b1f3a4b63377e6

Observation 64f3f456-8d2d-411d-acdf-76ed928e66c1 · outbound

This paper cites 2, 1-4 starting from top-left going in clockwise order.

What Matters in Learning from Large-Scale Datasets for Robot Manipulation 2, 1-4 starting from top-left going in clockwise order

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:02:42.332246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:02:42.072793Z digest=sha256:1834bfdb4480d12dde8516f827b206e08729f42af1c502a414bd60f0bf5235c8

Observation a7818dfe-0665-4bef-8318-694a46883f78 · outbound

This paper cites an unresolved cited work.

What Matters in Learning from Large-Scale Datasets for Robot Manipulation Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:02:42.310564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:02:42.081421Z digest=sha256:3b5a80f74d6fb973f076f1efe2c9b0ef575f168a14444de033118116375bce2f

Observation 2c38907d-32af-403e-b2b7-935c21ab091d · outbound

This paper cites In total, there are∼290 unique task instances in each lab, with skill-level overlap designed to test positive retrieval strategies.

What Matters in Learning from Large-Scale Datasets for Robot Manipulation In total, there are∼290 unique task instances in each lab, with skill-level overlap designed to test positive retrieval strategies

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:02:42.322223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:02:42.077065Z digest=sha256:6991b8c52b492ee29f880e1e446de8425232081049ede249a442e5908ef62ded

Observation e23469bc-d867-4327-807e-37b6d95b34fc · outbound

This paper cites Note that we do not ablate on material properties of these objects.

What Matters in Learning from Large-Scale Datasets for Robot Manipulation Note that we do not ablate on material properties of these objects

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:02:42.298734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:02:42.085232Z digest=sha256:9dafb7d67e9b964046a0dcba7a6b3b5657d76300da87ec1ae6f4bc589b2d82ab

Observation fe1f77e8-5321-4b7c-a73b-aeb7a567ab0a · outbound

This paper cites The different co-training spatial distributions are concentric boxes that increase in size until they cover the target spatial distribution completely.

What Matters in Learning from Large-Scale Datasets for Robot Manipulation The different co-training spatial distributions are concentric boxes that increase in size until they cover the target spatial distribution completely

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:02:42.286754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:02:42.088475Z digest=sha256:91800e2ac1c8d0b27d39b39197f0b741af886cbc752bf24ae6c5ed55df88f930

Observation 6e9d5fe7-b4d8-48a8-9f62-e34af7be3044 · outbound

This paper cites Since all four external cameras were streaming simultaneously, we could build co-training datasets with combinations of the different cameras through post-processing.

What Matters in Learning from Large-Scale Datasets for Robot Manipulation Since all four external cameras were streaming simultaneously, we could build co-training datasets with combinations of the different cameras through post-processing

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:02:42.274541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:02:42.092743Z digest=sha256:3dd8ae810afcd249ef2d6ae4c5aa38d92ef3d472dcfdafb2bd7b4d5f6839e7ee

Observation d70884e9-80ca-46f5-a4ca-b5eb5d53de84 · outbound

This paper cites for our baseline dataset.

What Matters in Learning from Large-Scale Datasets for Robot Manipulation for our baseline dataset

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:02:42.263054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:02:42.095918Z digest=sha256:2bb91e9f91ea2e3bbd1cec1bbd526df250da9584f4587b2c29eb102afadc6c71

Observation 9b48ea33-9cf1-4974-87c7-50281e5b2439 · outbound

This paper cites for our baseline dataset.

What Matters in Learning from Large-Scale Datasets for Robot Manipulation for our baseline dataset

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:02:42.251212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:02:42.099249Z digest=sha256:455959966502fa1c1355a79393e29209bc6a76e885b68611691d1366ee4c93e4

Observation d00a4701-a514-4db4-b257-63f2684e0492 · outbound

This paper cites USER: What’s the color of the <target object> in the image? Answer in just one adjective word. ASSISTANT:.

What Matters in Learning from Large-Scale Datasets for Robot Manipulation USER: What’s the color of the <target object> in the image? Answer in just one adjective word. ASSISTANT:

Reference 2024

Resolution
verified exact
raw_fallback, observed 2026-08-15T20:02:42.227201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:02:42.103890Z digest=sha256:8a1ab25e8b26165aa8e543c3bafdf7484e53182c07ce401d688332a42112b252

Observation 0248fd7a-6413-4df9-af9a-d9a3d30caec4 · outbound

This paper cites Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation.

What Matters in Learning from Large-Scale Datasets for Robot Manipulation Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Reference 8856

Resolution
unresolved
no resolver link, observed 2026-08-15T20:02:42.056873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:02:42.056873Z digest=sha256:cf01af8d8cd79748d3d1d0ae2808a3d0ebac50e11400ee4a9fcd6bac2cf50b97

Pith citing papers

Observation 52ab865a-879c-4c0c-a737-f59a1ca08293 · inbound

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation cites this paper.

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation What Matters in Learning from Large-Scale Datasets for Robot Manipulation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T18:56:47.348204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:56:47.348204Z digest=sha256:63690dcf695d8ef07cef551509922817df6662f75a1c2634c57b81e67268eee7

Observation 35157d47-daca-487f-8e91-c989e6029466 · inbound

HumanoidMimicGen: Data Generation for Loco-Manipulation via Whole-Body Planning cites this paper.

HumanoidMimicGen: Data Generation for Loco-Manipulation via Whole-Body Planning What Matters in Learning from Large-Scale Datasets for Robot Manipulation

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T16:43:40.643100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T16:36:52.555583Z digest=sha256:4309c6cead5ba879189315fe0ba84597dfd61ffb9a6e5435c7d3d721a24643a9

Observation 3c8a9eb0-6f4f-4988-bce0-6643640639a9 · inbound

Expanding Spatial and Temporal Context for Robotic Imitation Learning With Scene Graphs cites this paper.

Expanding Spatial and Temporal Context for Robotic Imitation Learning With Scene Graphs What Matters in Learning from Large-Scale Datasets for Robot Manipulation

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T21:16:13.675794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T17:24:02.843529Z digest=sha256:d4ccc38c3a4037edaec4aedc665440756ce25b0e9520479f079c1ebc5e7cf6cd

Observation eb2d903a-6ace-49fb-b1e2-ce21aa908a1b · inbound

Learning to See While Learning to Act: Diffusion Models for Active Perception in Robot Imitation cites this paper.

Learning to See While Learning to Act: Diffusion Models for Active Perception in Robot Imitation What Matters in Learning from Large-Scale Datasets for Robot Manipulation

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-04T11:09:47.109101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T08:08:48.779570Z digest=sha256:a04881d74227b286d7722db3b1964670029e18d2054fedba91498d4bed519aa5

Observation c0d72154-d1f7-40d9-b2e8-1b4406efb5a5 · inbound

Static In, Dynamic Out: Counterfactual Action Augmentation for Moving Object Manipulation cites this paper.

Static In, Dynamic Out: Counterfactual Action Augmentation for Moving Object Manipulation What Matters in Learning from Large-Scale Datasets for Robot Manipulation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-31T23:37:14.373825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:37:14.373825Z digest=sha256:a408d0e5bf4b9f7dd1957704f724be1db4f340ced6cd6deb3d4b5aa208f9cfd9