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Paper Citation Record · LEDGER

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation

As of 16 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 0 inbound Pith citation observations for arXiv:2607.09776.

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

pith.paper-citation-record.v1
2607.09776 v2

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:13:13.882074Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 300 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6116d886-9683-488d-8c54-342d472b0a94 · outbound

This paper cites AI Magazine , volume=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation AI Magazine , volume=

Reference 1

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Observation 102187c0-2b8a-4ed0-adef-3786d8034fc1 · outbound

This paper cites an unresolved cited work.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 2

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Observation 1a78bf2c-f9b6-4d05-b05c-a8ca64783452 · outbound

This paper cites Proceedings of the 1964 International Congress for Logic, Methodology, and Philosophy of Science , pages=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Proceedings of the 1964 International Congress for Logic, Methodology, and Philosophy of Science , pages=

Reference 3

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Observation d9af7fbb-7319-46cf-ac85-046e975708d1 · outbound

This paper cites The Logic of Decision and Action , year=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation The Logic of Decision and Action , year=

Reference 4

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Observation 0f420618-c436-4414-90e3-b79babe62043 · outbound

This paper cites Philosophy, Language, and Artificial Intelligence: Resources for Processing Natural Language , pages=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Philosophy, Language, and Artificial Intelligence: Resources for Processing Natural Language , pages=

Reference 5

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Observation 7d6483d1-644e-412c-ae15-a1aa5243b8ff · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 6

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Observation 6a7d5a16-0de4-403a-bb72-3732166dc2cb · outbound

This paper cites Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning

Reference 7

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Observation 42885119-60dc-4c1c-ba4d-f2f81f470dd7 · outbound

This paper cites Microsoft.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Microsoft

Reference 8

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Observation d5ac4503-014d-4333-bdde-e14b9b7bf536 · outbound

This paper cites Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation

Reference 9

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Observation f89965b2-b012-4e82-b0ef-07449f3f3f08 · outbound

This paper cites Interacting with computers , volume=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Interacting with computers , volume=

Reference 10

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Observation fab07cd8-c34e-4840-b93d-906e3cbc4026 · outbound

This paper cites Help Me Help the AI.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Help Me Help the AI

Reference 11

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Observation cf57d078-58b7-49bf-9faf-3be03b948268 · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 12

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Observation f737b9b7-f03b-4c41-adfb-3c8ebadab354 · outbound

This paper cites 2009 , publisher=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation 2009 , publisher=

Reference 13

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Observation fb7fbcd8-e00d-4963-aec0-1ee82f9a232c · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 14

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Observation 47528562-501a-408e-9d00-64f19b41e00f · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models

Reference 15

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Observation 0c869894-1e41-4437-a1a9-2ab50d84b990 · outbound

This paper cites TheaterGen: Character Management with LLM for Consistent Multi-turn Image Generation.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation TheaterGen: Character Management with LLM for Consistent Multi-turn Image Generation

Reference 16

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Observation 76421365-f4b2-4caf-a808-7c5873281acc · outbound

This paper cites AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation

Reference 17

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Observation 4945fed8-e212-4240-9596-bdadff529637 · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 18

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Observation cec8f237-2e8c-495d-84b8-8e48b874c71c · outbound

This paper cites Intelligent Systems with Applications , volume=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Intelligent Systems with Applications , volume=

Reference 19

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Observation 7b9a4dfa-e7b0-4fe7-ab85-0e53dc728567 · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation DialogGen: Multi-modal Interactive Dialogue System for Multi-turn Text-to-Image Generation

Reference 20

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Observation b488350c-f751-4dab-8301-5e606ad92770 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 21

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Observation 0caa4dbd-0a55-45c3-9e5c-90b99fe7f985 · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Communications of the ACM , volume=

Reference 22

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Observation cbdc4bf1-7fc5-4b1f-84be-3b05d480a8f7 · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 23

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Observation 93da67a7-f59f-409b-a32e-ef8ce0cffbe9 · outbound

This paper cites Designing a Dashboard for Transparency and Control of Conversational AI.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Designing a Dashboard for Transparency and Control of Conversational AI

Reference 24

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Observation 366007c0-3a8e-4db9-8a1e-07085679b003 · outbound

This paper cites The System Model and the User Model: Exploring AI Dashboard Design.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation The System Model and the User Model: Exploring AI Dashboard Design

Reference 25

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Observation de0c4320-40f2-4a0d-99d4-b04490221456 · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Statistical science , pages=

Reference 26

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Observation a753582e-7978-4054-9c63-e73a66ab0468 · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation The SAGE Handbook of Quantitative Methods in Psychology , pages=

Reference 27

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Observation bcca58e4-5af8-4ad5-bc7f-8b5d8ac2381f · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

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Observation 7b858ddc-9687-4304-9149-8dbb4b169c41 · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

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Observation 91366f98-6004-4155-bbb2-ac0d5749e282 · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 30

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation 2016 , publisher=

Reference 31

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

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Observation 757a9534-3989-4f9e-8e5d-1c5ea7ab9793 · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 33

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Observation a2f0146a-fea6-4f79-bff5-5f873ecc78a4 · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 34

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Observation 7ba63779-96c9-49a7-9f1b-140a4a58a117 · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 35

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Observation a9b56287-38a7-421a-8024-6dea56e227ba · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 36

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Observation 8b8f1d33-42d4-4b23-89ce-0cd59b4e792e · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Empowering Language Models with Active Inquiry for Deeper Understanding

Reference 37

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness

Reference 38

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Observation ee63703c-0936-48c3-9a91-9cd37bb05d5b · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Artificial Intelligence , volume=

Reference 39

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Observation 4b05e110-fa47-4501-9e8d-dcbf44993468 · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Bayesian Active Learning for Classification and Preference Learning

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Observation 7c154f61-10c2-47f9-84eb-d7a22ab25c8d · outbound

This paper cites Machine learning , volume=.

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Reference 41

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Observation 5962a9e1-918d-4046-bf78-dccc8cd7ccf5 · outbound

This paper cites Machine learning: An artificial intelligence approach , volume=.

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Reference 42

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Observation 37f3c521-7f4c-4b29-8a25-c1ff5a6ed0fc · outbound

This paper cites 2023 , publisher=.

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Reference 43

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Observation 5565438b-3be0-4fdd-8db1-47d780730b2a · outbound

This paper cites ACM computing surveys (CSUR) , volume=.

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Reference 44

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Observation 1cbab243-904e-49f9-8d23-1967f157c80f · outbound

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Reference 45

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Observation f61b495d-7187-43bf-a0ee-8225b3df0ac8 · outbound

This paper cites an unresolved cited work.

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Reference 46

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source=arxiv_source observed=2026-08-02T08:13:07.134635Z digest=sha256:33888311ffcdffe46732710db9eb218ed25a5aaa6bf77baf63247c8966b57dbc

Observation 68789a00-f0e6-4648-be87-a2f13e86d1b9 · outbound

This paper cites an unresolved cited work.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 47

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Observation 836cdd78-c866-423e-8ae5-2e5a22f4b76b · outbound

This paper cites Active Learning Literature Survey , Type =.

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Reference 48

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Observation 490b6bfa-9472-4ae3-91b9-f29249d8d5d3 · outbound

This paper cites an unresolved cited work.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 49

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source=arxiv_source observed=2026-08-02T08:13:07.377845Z digest=sha256:78fb8449d0ac92a2e2d05f929139b8b90a21ad89280f44bfa1ed4c584251bdbf

Observation 8ec9d891-7136-4702-81f2-936cb6ea4b2b · outbound

This paper cites an unresolved cited work.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 50

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source=arxiv_source observed=2026-08-02T08:13:07.493340Z digest=sha256:6fc797836d8a4dd93845adaf14e80ad6aff3fa165bbad65e0ccf9c72b7652f2e

Observation 30110458-a660-4149-87c2-a734b695bd09 · outbound

This paper cites Artificial Intelligence , volume=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Artificial Intelligence , volume=

Reference 51

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source=arxiv_source observed=2026-08-02T08:13:07.619387Z digest=sha256:5e5aea6bba4f138a22945704aae3a634579249ee743eafb95e5412d14b2e09d4

Observation ce790905-7bd3-4fe0-84ca-19665e33f954 · outbound

This paper cites an unresolved cited work.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 52

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source=arxiv_source observed=2026-08-02T08:13:07.734231Z digest=sha256:6ebd89f633ca32060618d7c1705419a4d761ebab7af451205442c9f54f55cf09

Observation af2d55e5-91d8-4f54-8e61-12a74c73ddac · outbound

This paper cites u tzner and Malte Helmert and Thomas Liebetraut and Robert Mattm \.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation u tzner and Malte Helmert and Thomas Liebetraut and Robert Mattm \

Reference 53

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source=arxiv_source observed=2026-08-02T08:13:07.827455Z digest=sha256:2a0e0c836e5c69c8f9f343c26ee3ce0b67b50cd46dd46ec9ef6cfd4a8d0551ee

Observation 05a9dbce-6d94-4378-8bc0-84aaf431f4e4 · outbound

This paper cites 1988 , publisher=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation 1988 , publisher=

Reference 54

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source=arxiv_source observed=2026-08-02T08:13:07.936649Z digest=sha256:f1604daa01f0fe6b1f2bc3d07a549a8f056f7d9b7b38f54f848eac38b61cc40a

Observation 11d96a94-3afc-4564-8898-a7b0565f1bda · outbound

This paper cites Formal theories of the commonsense world , pages=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Formal theories of the commonsense world , pages=

Reference 55

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source=arxiv_source observed=2026-08-02T08:13:08.066799Z digest=sha256:233693860b5779e0790b837b01911ef055b8af8596e39f3a660352390d978897

Observation 248114ff-cc5b-44c6-8f8c-48ad0b0ec462 · outbound

This paper cites 1974 , institution=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation 1974 , institution=

Reference 56

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source=arxiv_source observed=2026-08-02T08:13:08.139109Z digest=sha256:c9e6529dfc34f074ae7cdffeacb047007779e64a81b2f688289727b7d91b5895

Observation 0f37c3e2-7591-42e0-b96a-f67fc11cc72b · outbound

This paper cites Artificial Intelligence , volume=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Artificial Intelligence , volume=

Reference 57

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source=arxiv_source observed=2026-08-02T08:13:08.242226Z digest=sha256:d29c9877e831d01d8a1b745512f49e4c1e637efcd09ac4bbc22fcaf5f526a4ed

Observation 9e97195b-58f2-4ed2-9d3e-913f5e0d1ccf · outbound

This paper cites Artificial Intelligence , volume=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Artificial Intelligence , volume=

Reference 58

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source=arxiv_source observed=2026-08-02T08:13:08.332210Z digest=sha256:f123fa6783553f5348eba8536c128af7e8a56eeb4f967f16f3f683b740091028

Observation 4ae2cd44-8566-4a50-a977-975bc7738318 · outbound

This paper cites Conference on Language Modeling , year=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Conference on Language Modeling , year=

Reference 59

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source=arxiv_source observed=2026-08-02T08:13:08.448262Z digest=sha256:c165d35a5d53cf82b20a5c357362d89e49ca245178c57c85a73be23e147e661d

Observation bccaf759-5b7a-4111-bd43-af51400d33a7 · outbound

This paper cites Monographs of the Society for Research in Child Development , pages=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Monographs of the Society for Research in Child Development , pages=

Reference 60

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Observation d3b8b564-c8bf-45d0-8385-bdc3e69909cc · outbound

This paper cites Annual Symposium on Machine Programming (MAPS) , year=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Annual Symposium on Machine Programming (MAPS) , year=

Reference 61

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source=arxiv_source observed=2026-08-02T08:13:08.710954Z digest=sha256:3f76e84d0fec259ea898d90f59ec99fc55b91680509f12017a065680233e30f5

Observation 7aba1f7d-3185-4c6d-8601-9c8de4673f1a · outbound

This paper cites Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs

Reference 62

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source=arxiv_source observed=2026-08-02T08:13:08.877782Z digest=sha256:6847f0b078dbe07e78dbd89ed7ea2bf09cd36b80fc3129c63d8fb06430b61e35

Observation 215a66bc-e1f6-452b-81af-27df9d9a43c8 · outbound

This paper cites an unresolved cited work.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 63

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source=arxiv_source observed=2026-08-02T08:13:09.049476Z digest=sha256:3b64cc0d78996cb1dcdb737c76cbe8ab37c6991f8c6e750fc5f45d2704a308ac

Observation da1aba0b-5790-4071-93e2-515db853ecec · outbound

This paper cites an unresolved cited work.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 64

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source=arxiv_source observed=2026-08-02T08:13:09.143902Z digest=sha256:0b865a3e3e9c42fc636206d7f6040b84812db66bfa945cfa96e385a3140a5dc2

Observation 54fc80fd-0301-4062-8f94-9084f5c9c3d7 · outbound

This paper cites an unresolved cited work.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 65

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source=arxiv_source observed=2026-08-02T08:13:09.264066Z digest=sha256:375a6cf7ba015a2c36f35934b5b6c87a84322dd634f655a84f39d53e692aef55

Observation afc6beb8-4053-4928-9d42-0c153bf23786 · outbound

This paper cites an unresolved cited work.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 66

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source=arxiv_source observed=2026-08-02T08:13:09.413496Z digest=sha256:45544520bd2f800cb68399aa14fece631fcab83b95bba51a7956c6873d1cc590

Observation fc7b9e78-b7ae-4a76-92d7-b50f8193d6ef · outbound

This paper cites Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models

Reference 67

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source=arxiv_source observed=2026-08-02T08:13:09.574517Z digest=sha256:3bf5deafdeaad3883c2fd2ac68465c2f93e675f9aa533a52753d345ef6506044

Observation bae3bc23-c1c7-47f9-9d27-8d1edd585235 · outbound

This paper cites Ask-before-Plan: Proactive Language Agents for Real-World Planning.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Ask-before-Plan: Proactive Language Agents for Real-World Planning

Reference 68

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source=arxiv_source observed=2026-08-02T08:13:09.763068Z digest=sha256:84eab3975cc98814b8fe9fa9cd63aab9a95f4b9a2ed6f7efbf302d387e912ac4

Observation 97e26e1c-cb38-4b49-a61e-c30b8fc49e9d · outbound

This paper cites Practical transfer learning for.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Practical transfer learning for

Reference 69

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source=arxiv_source observed=2026-08-02T08:13:09.972705Z digest=sha256:c7ba36815b86a31dae141badf8e84ee0c485081b2607dd0a00aa501d412cfc74

Observation d35d4976-969e-4b27-a03d-56ee1ce96235 · outbound

This paper cites Asymptotic analysis of maximum likelihood estimation of covariance parameters for.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Asymptotic analysis of maximum likelihood estimation of covariance parameters for

Reference 70

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source=arxiv_source observed=2026-08-02T08:13:10.149018Z digest=sha256:4f48b3b4dc719bce03b623dc1e8109ec5a14934ad1f2f33fb05278c181bd904f

Observation 6852bf69-0a44-49b3-a7fe-b803843d811d · outbound

This paper cites an unresolved cited work.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 71

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source=arxiv_source observed=2026-08-02T08:13:10.352187Z digest=sha256:76a0807cfb7bf019a33d418d685c476a3db33697d1d94826a123948edf6d03ba

Observation b7fe1db0-b7ea-4694-87f8-8e97da5bdc9a · outbound

This paper cites an unresolved cited work.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 72

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source=arxiv_source observed=2026-08-02T08:13:10.528077Z digest=sha256:092dc25551a23e308970ebd966a202b0183ab43b1acf38310f204f260bc3e105

Observation 339a9e0c-4fa3-416c-a61f-bdc4d8796b7e · outbound

This paper cites Mathematical Programming , volume=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Mathematical Programming , volume=

Reference 73

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source=arxiv_source observed=2026-08-02T08:13:10.684866Z digest=sha256:ea180a3220f49b54a655734a2876a6071e2c424b0e07f4929a10c2753043d575

Observation ba2569f6-ac15-4c8a-b0c0-42ab35c9c53c · outbound

This paper cites CoRR , volume =.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation CoRR , volume =

Reference 74

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source=arxiv_source observed=2026-08-02T08:13:10.830203Z digest=sha256:05c5cefc2d00755865ff490fb86a35c25fb9cac5a6fe9fbefb9829a45699b705

Observation 06f33f57-459f-4830-a688-1524b5ddc23f · outbound

This paper cites an unresolved cited work.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 75

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source=arxiv_source observed=2026-08-02T08:13:11.042762Z digest=sha256:f8fe544f8c1aae37abe4fab3148b2590cde9a18648d02b1c47bff787a703e298

Observation f23e22c2-a8f7-4912-8e8c-83d13ead01c2 · outbound

This paper cites Ten lessons from three generations shaped.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Ten lessons from three generations shaped

Reference 76

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source=arxiv_source observed=2026-08-02T08:13:11.193543Z digest=sha256:50fefc6099753d57b8ab08c55b7baad65733e90ded015bd2daa99e5d633cbad8

Observation 5fbf89bb-221c-49e1-9233-96dff37dd3f8 · outbound

This paper cites , booktitle=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation , booktitle=

Reference 77

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source=arxiv_source observed=2026-08-02T08:13:11.348107Z digest=sha256:18c0bdc4fa7f7e305c767cf2e070ab2d0e2e604d2530d096be93da31e96b94bb

Observation b738c7e1-5480-4da0-9fa8-b9a2f5bacd39 · outbound

This paper cites 2006 , publisher=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation 2006 , publisher=

Reference 78

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source=arxiv_source observed=2026-08-02T08:13:11.514315Z digest=sha256:3df179d1b6ee424c77cfe37da6987b0485d6104a460bd052009c327df98fcad7

Observation 9bea7a97-7097-442b-b15d-5d053811735c · outbound

This paper cites 2010 , publisher=.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation 2010 , publisher=

Reference 79

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source=arxiv_source observed=2026-08-02T08:13:11.701205Z digest=sha256:d9d9067e84bfa9dc7cb94d446c84f19216c2b6c253d8ae0495478512508bbde7

Observation 427ae362-33e3-46e9-8ea8-4045480150d4 · outbound

This paper cites an unresolved cited work.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 80

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Observation a3f05308-e6e7-4777-84fc-a33244f31097 · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 81

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation 2005 , publisher=

Reference 82

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation 2003 , publisher=

Reference 83

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Reference 84

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Variational learning of inducing variables in sparse

Reference 85

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Burt and Artem Artemev and Seth Flaxman and Mark van der Wilk and Carl Edward Rasmussen and Hong Ge , title =

Reference 86

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Observation 68d7f9f9-5ba1-4bc7-8e1e-eadc46f5d8ae · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 87

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Observation 9294e665-a76f-4e3f-977e-ba507233e65a · outbound

This paper cites and Snoek, Jasper and Adams, Ryan P.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation and Snoek, Jasper and Adams, Ryan P

Reference 88

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Observation 7886c746-cb4c-4ad1-8578-d2f98b92f536 · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Constrained Bayesian Optimization and Applications , year=

Reference 89

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Observation a9d5aee2-93f5-4e00-bb79-a1fd97a4c1d1 · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation A general framework for constrained

Reference 90

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Observation caa81777-a3d8-4e09-b062-25e6df104fdd · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation 2013 , school=

Reference 91

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Observation 6893e282-f8b2-42b0-aae4-2f3512cd55a1 · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Unresolved cited work

Reference 92

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Observation cada9dbc-f69c-46b2-a6f3-a94dce73642d · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Intelligent Data Analysis , volume=

Reference 93

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation 3rd Symposium on Advances in Approximate Bayesian Inference , year=

Reference 94

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation 2021 , publisher=

Reference 95

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Observation dc982d53-5e68-4178-81c6-6bc16b3ae24c · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation High-dimensional

Reference 96

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Observation 8517b83a-617f-4fff-9575-a76bc9192218 · outbound

This paper cites Discovering and exploiting additive structure for.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Discovering and exploiting additive structure for

Reference 97

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Observation 966e2f71-5ec1-422f-b390-733203c41e06 · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Functional variational

Reference 98

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Observation 474a0966-e11b-4523-97e5-c0c8e90a28ce · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 99

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Observation 6a83155b-874b-432e-94cd-a4e493d0514f · outbound

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HELP: Human-Efficient Large-Scale Robot Post-Training with Rollout Segmentation Machine learning , volume=

Reference 100

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