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Paper Citation Record · LEDGER

Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2003.06085.

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

pith.paper-citation-record.v1
2003.06085 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:19:45.867200Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:59:42.173646Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 07514f60-a72c-4130-a1cd-4bb9f7676dcf · inbound

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems cites this paper.

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Reference 241

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:33:21.288866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T11:33:20.892688Z digest=sha256:4e25aea210eb2e3b99ab7e063a734e1de761ca072fde52cb185f3be774b21b62

Observation 484913a4-7406-46bd-9639-244b3631fe2f · inbound

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation cites this paper.

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-13T08:51:56.051115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T08:51:55.826747Z digest=sha256:04a15dd21236e1c3ba61bccf06766219197ff67ec251062b1bb8abb6892ba8cd

Observation 999dd3bb-3cdc-4e5c-965f-ff76fe6caa47 · inbound

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations cites this paper.

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-17T09:47:55.166655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T09:47:54.977716Z digest=sha256:35590e9617dc3f473a0e366238ff00ef32e8273db9671d712252443326b03b59

Observation 863535b7-f54e-46be-830d-1c62a5f76cd7 · inbound

RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential Fields cites this paper.

RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential Fields Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:52:43.945574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T07:49:37.878395Z digest=sha256:c537b28dfa3d4b3a0322015cbbe17af1026a6112eb6d8ec9c2251294b9720693

Observation 729fb92a-39dd-4b0f-ab1a-6ad905483167 · inbound

MuST: Multi-Head Skill Transformer for Long-Horizon Dexterous Manipulation with Skill Progress cites this paper.

MuST: Multi-Head Skill Transformer for Long-Horizon Dexterous Manipulation with Skill Progress Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-09T11:19:45.867200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:19:45.867200Z digest=sha256:1396eece7e11fedac70171af0235c2c617536b437995e0ea4322adc49866e2db

Observation 7430e767-f926-4e4d-aadc-4143b5b419cb · inbound

Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following cites this paper.

Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-08T19:20:39.333355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:20:39.333355Z digest=sha256:8961a913cfdb90d1904afdd225ecd7afe1ad4070a868eb82f940e8222f944b9a

Observation 95faf741-fb88-42d8-843c-816a621e24f3 · inbound

PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation cites this paper.

PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:52.216964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:52.216964Z digest=sha256:d3fae3ab5f7a1d81c2e28eb811ebbf5c26a8f858beb6299ad196c7faf8230613

Observation 5f5de82c-4f9e-41b0-ab2f-4c1250d29a9f · inbound

Steering Robots with Inference-Time Interactions cites this paper.

Steering Robots with Inference-Time Interactions Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-07T00:26:30.945229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:26:30.945229Z digest=sha256:35b6a979f011463cfbfdaa40ff06131a277e58242fc3e99eacfc11fa49d6edd4

Observation 424704de-e87d-4ab9-8f6a-e5a8699b556d · inbound

When Life Gives You BC, Make Q-functions: Extracting Q-values from Behavior Cloning for On-Robot Reinforcement Learning cites this paper.

When Life Gives You BC, Make Q-functions: Extracting Q-values from Behavior Cloning for On-Robot Reinforcement Learning Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Reference 66

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:11:05.060286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T16:34:18.603134Z digest=sha256:0b59f382c2a14708d928cd46efc090aca828bce032614d80f540c7b453a0af30

Observation d185f49e-a74c-4841-818b-4e1d1deb8645 · inbound

When Life Gives You BC, Make Q-functions: Extracting Q-values from Behavior Cloning for On-Robot Reinforcement Learning cites this paper.

When Life Gives You BC, Make Q-functions: Extracting Q-values from Behavior Cloning for On-Robot Reinforcement Learning Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-30T23:25:07.013978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-30T23:24:57.811919Z digest=sha256:26e6b66233926717691f79c37baccf599b7722d55af587ed690e9f9bf1b8eda3

Observation 7f4431bf-af6d-4612-8599-56aaa6724b76 · inbound

SID: Sliding into Distribution for Robust Few-Demonstration Manipulation cites this paper.

SID: Sliding into Distribution for Robust Few-Demonstration Manipulation Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:17:50.432578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T19:15:45.167147Z digest=sha256:6bc275a0fe063317d30e59419b0af265fd0d3692675c2a44a7ca40dfc5781889

Observation 987c1366-2feb-4c6a-83cc-f64b0df3a84d · inbound

GHOST: Hierarchical Sub-Goal Policies for Generalizing Robot Manipulation cites this paper.

GHOST: Hierarchical Sub-Goal Policies for Generalizing Robot Manipulation Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-03T02:07:33.557178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T16:10:40.130366Z digest=sha256:3dad1e82a2e347bc17ed2aba89bb8939feaa8e2a53e5f8fcf451dbb35c2af18e

Observation b282612e-2174-4f5a-b32d-9d7382ab4e3f · inbound

Imagine to Ensure Safety in Hierarchical Reinforcement Learning cites this paper.

Imagine to Ensure Safety in Hierarchical Reinforcement Learning Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:59:42.176839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T10:48:11.992980Z digest=sha256:8da092ed061a843988fc1bc1244dda53487efd891d96c92456cb0c3e09faba38

Observation e4415c2b-55a2-4ce0-811b-2ed443b14f26 · inbound

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

RoboInter1.5: A Holistic Intermediate Representation Suite for Embodied World Modeling and Robotic Manipulation Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Reference 145

Resolution
unresolved
no resolver link, observed 2026-08-01T14:39:49.888188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:39:49.888188Z digest=sha256:87d605dabacac4065ea409207ec4ad101da175d573b763188e5492edad8fbfa5