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Paper Citation Record · LEDGER

Consistent Zero-Shot Imitation with Contrastive Goal Inference

As of 10 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2510.17059.

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

pith.paper-citation-record.v1
2510.17059 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:13:46.110853Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

59 of 59 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved57
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d38c9e45-22aa-49df-8dfb-a60714c4bd70 · outbound

This paper cites u c l\" u , Julia Berezutskaya, Eva van den Borne, Ya g mur G\.

Consistent Zero-Shot Imitation with Contrastive Goal Inference u c l\" u , Julia Berezutskaya, Eva van den Borne, Ya g mur G\

Reference 1

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source=arxiv_source observed=2026-08-04T09:13:38.005000Z digest=sha256:7947393abe54ed51d82019186d733d8335992624e0ca295c91cc3c2973335e67

Observation c4e8c1b1-4b18-49f4-a95d-067d86376ab1 · outbound

This paper cites Concrete Problems in AI Safety.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Concrete Problems in AI Safety

Reference 2

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source=arxiv_source observed=2026-08-04T09:13:38.158656Z digest=sha256:9f8031f9bb0b2c4336451facda76e8eaec3ae787f8b97b847a98770abcb39324

Observation 27cfe413-2135-4805-88ee-bed36f98326a · outbound

This paper cites Hindsight experience replay.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Hindsight experience replay

Reference 3

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source=arxiv_source observed=2026-08-04T09:13:38.354288Z digest=sha256:cddfcfea66417e4be966694e44f025114ae14eb859c725028a2c3da28594b5cf

Observation f7a59cdd-b8e4-4f37-9268-1934400f8236 · outbound

This paper cites End to end learning for self-driving cars.

Consistent Zero-Shot Imitation with Contrastive Goal Inference End to end learning for self-driving cars

Reference 4

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source=arxiv_source observed=2026-08-04T09:13:38.500604Z digest=sha256:0e2d083d91bd25b0bcab59d00b11d2c88ed11a1660eeeef0d77fe2fe11724ec1

Observation 929e2a63-46ac-40f7-9452-cdab8e71ae85 · outbound

This paper cites Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S

Reference 5

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source=arxiv_source observed=2026-08-04T09:13:38.760654Z digest=sha256:bf126792ebb78a1531b3c85dcc22acbb09a1fb3ec37187ad8fa4f543b2d64fc8

Observation 8385915e-2694-4219-b18c-0d5a2fe32b8f · outbound

This paper cites Goodman, Elizabeth Spelke, and Laura Schulz.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Goodman, Elizabeth Spelke, and Laura Schulz

Reference 6

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source=arxiv_source observed=2026-08-04T09:13:38.937247Z digest=sha256:b2f54a855f506300567bb1e83650df2273d2775e5e43b22b49e916ab6f2a174c

Observation 70e91582-7f45-4163-b9a3-a158ae3c059c · outbound

This paper cites Accelerating Goal-Conditioned RL Algorithms and Research.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Accelerating Goal-Conditioned RL Algorithms and Research

Reference 7

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source=arxiv_source observed=2026-08-04T09:13:39.192551Z digest=sha256:4627b1330eb40be57bb3da20a950a001cefa9bd41698bc2d7c72d6fd008a8d5f

Observation a8dba354-1957-4bfa-b265-7a7f5d51e41f · outbound

This paper cites JAX : composable transformations of P ython+ N um P y programs, 2018.

Consistent Zero-Shot Imitation with Contrastive Goal Inference JAX : composable transformations of P ython+ N um P y programs, 2018

Reference 8

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source=arxiv_source observed=2026-08-04T09:13:39.356566Z digest=sha256:de6d0bd840a15688aa26b7696aaeb6705855def1b97f629367bbf5bc24aa0fcc

Observation 933ece06-7611-4693-88fd-ba67ee79357c · outbound

This paper cites OpenAI Gym.

Consistent Zero-Shot Imitation with Contrastive Goal Inference OpenAI Gym

Reference 9

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source=arxiv_source observed=2026-08-04T09:13:39.522753Z digest=sha256:07606ba143b7fa8ef25dcb86beae4cfb044ae2317c4ba8d37e762ed0143545e1

Observation 0a031eaf-ed5e-457c-bbcc-f06576b01b64 · outbound

This paper cites Explore, discover and learn: Unsupervised discovery of state-covering skills.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Explore, discover and learn: Unsupervised discovery of state-covering skills

Reference 10

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source=arxiv_source observed=2026-08-04T09:13:39.649756Z digest=sha256:2b2fa81c41d00a117fba52fc3a11fb222e5d0e325f97865175f797dc4619c13a

Observation c817bad4-b1f1-43b5-9b8d-3a8dabeaa8c0 · outbound

This paper cites Multi-task hierarchical adversarial inverse reinforcement learning.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Multi-task hierarchical adversarial inverse reinforcement learning

Reference 11

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source=arxiv_source observed=2026-08-04T09:13:39.799969Z digest=sha256:3b76204c4df36cf55e46dde3177800ab6bf7c9f27386b3c6a1e752a08b2eb2ce

Observation a74c84a0-7bbc-49a4-a91a-53a57f8ae4f0 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Diffusion policy: Visuomotor policy learning via action diffusion

Reference 12

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source=arxiv_source observed=2026-08-04T09:13:39.922016Z digest=sha256:c2edab3887c893fc1bfb1aa93da80d64c7ce24fbee23cfe00ff1f153cec1c0c1

Observation c13b1b3b-7d47-4fe6-be0c-434307c30129 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Diffusion policy: Visuomotor policy learning via action diffusion

Reference 13

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source=arxiv_source observed=2026-08-04T09:13:39.993261Z digest=sha256:867213cdace8cf7bb308edbd34e758eb94bd561e7c43a6cb0e9a1904b3ba3343

Observation 5eea04b8-b574-454e-ad1d-3d956bde30dd · outbound

This paper cites Dragan, Kenton C.T.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Dragan, Kenton C.T

Reference 14

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source=arxiv_source observed=2026-08-04T09:13:40.143681Z digest=sha256:126d855bfb7fd80c4e77217521ba47a4c1e6c839c0b419b94cc858e1b5a78248

Observation 7a96a078-4972-4d8d-bf4a-7fdd65b57d3d · outbound

This paper cites Rewriting history with inverse rl: hindsight inference for policy improvement.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Rewriting history with inverse rl: hindsight inference for policy improvement

Reference 15

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source=arxiv_source observed=2026-08-04T09:13:40.303485Z digest=sha256:8efd9d9cc4fdfa4ac42edf36e92cfcb9bfd5ab3c370d8b8313228dc5e2fc5e80

Observation f932746c-25c1-4aa8-b391-b61dda89fa8f · outbound

This paper cites Contrastive learning as goal-conditioned reinforcement learning.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Contrastive learning as goal-conditioned reinforcement learning

Reference 16

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source=arxiv_source observed=2026-08-04T09:13:40.432655Z digest=sha256:a2f4d684761f66a08035168d8296111f307b32f9cac429f27eed9a7cd06aab31

Observation 13a3fa3d-ce8e-473e-8a8a-341be9f88242 · outbound

This paper cites an unresolved cited work.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-08-04T09:13:40.588013Z digest=sha256:f891ef440c4c10ef5db2120042945a81bc11d53cde9d077d16029a5ea5fe3236

Observation 267f0237-36f7-4078-a0e4-d30b274b1972 · outbound

This paper cites One-shot visual imitation learning via meta-learning.

Consistent Zero-Shot Imitation with Contrastive Goal Inference One-shot visual imitation learning via meta-learning

Reference 18

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source=arxiv_source observed=2026-08-04T09:13:40.650012Z digest=sha256:2164d8271008b2a716f38525a6f8b84fe71128657ec4d6df1c95f18bfcb356be

Observation 0933dbc6-7c66-4041-b83f-90b48b68630f · outbound

This paper cites Automatic goal generation for reinforcement learning agents.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Automatic goal generation for reinforcement learning agents

Reference 19

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source=arxiv_source observed=2026-08-04T09:13:40.831139Z digest=sha256:e6fa6b3f038a77cc29bd3fba2f8fbf97c48ab7aea3e6f0ddbafefca6d7809624

Observation 6b3b7084-ff4a-4800-82d6-9fc02e59b706 · outbound

This paper cites Brax -- a differentiable physics engine for large scale rigid body simulation.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Brax -- a differentiable physics engine for large scale rigid body simulation

Reference 20

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source=arxiv_source observed=2026-08-04T09:13:40.951233Z digest=sha256:f5eccc83d3187dd447562843d646dabdf10fe8003c5546ffb2698e9e7372516d

Observation 66b9b235-668e-4ae9-8d5d-579ee992a518 · outbound

This paper cites Learning robust rewards with adverserial inverse reinforcement learning.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Learning robust rewards with adverserial inverse reinforcement learning

Reference 21

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source=arxiv_source observed=2026-08-04T09:13:41.070975Z digest=sha256:6614c69e63b8673faeb78a9850d89b6159060c0243462c8ea6df46f7ce3c5e6f

Observation 2d10fdfc-483b-4207-8d66-cadf61fac8b4 · outbound

This paper cites Childhood as a solution to explore–exploit tensions.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Childhood as a solution to explore–exploit tensions

Reference 22

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source=arxiv_source observed=2026-08-04T09:13:41.192615Z digest=sha256:51970bb6c4a1af14b206719dd229b7e32e6066b837b0138c6fe35c5d7e40dd9e

Observation d03e36c1-877c-4e58-b4ff-d2928353fc98 · outbound

This paper cites From exploration to instruction: Children learn from exploration and tailor their demonstrations to observers’ goals and competence.

Consistent Zero-Shot Imitation with Contrastive Goal Inference From exploration to instruction: Children learn from exploration and tailor their demonstrations to observers’ goals and competence

Reference 23

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source=arxiv_source observed=2026-08-04T09:13:41.311477Z digest=sha256:e1129270b81eaff5d1f1f7696f70f455d1da541db12990136b129f6fc5f3ee6d

Observation 5696ae83-8730-4b20-bfba-4ced83715268 · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 24

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source=arxiv_source observed=2026-08-04T09:13:41.452871Z digest=sha256:69acd2ac9149eee8f3931e6ae87b67138fc5b17d6b7b48cbc65e9a77eece51b9

Observation 8daca791-ef19-4094-8814-a16e157eda47 · outbound

This paper cites Generative adversarial imitation learning.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Generative adversarial imitation learning

Reference 25

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source=arxiv_source observed=2026-08-04T09:13:41.537974Z digest=sha256:03d6262ed5349004fe816e2153e52408e08ab6e06412dfe3aa751e88e6ec099e

Observation 63b13824-8cc7-47ff-a6a6-325743b7cce3 · outbound

This paper cites BC -z: Zero-shot task generalization with robotic imitation learning.

Consistent Zero-Shot Imitation with Contrastive Goal Inference BC -z: Zero-shot task generalization with robotic imitation learning

Reference 26

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source=arxiv_source observed=2026-08-04T09:13:41.660099Z digest=sha256:41bda75764403f41a7ec1890717aacd0ae8e3f2296fe28f8e993ede6cc5724f8

Observation 9bf686f9-4498-4349-8947-ccd45e497db3 · outbound

This paper cites Learning to achieve goals.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Learning to achieve goals

Reference 27

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source=arxiv_source observed=2026-08-04T09:13:41.838120Z digest=sha256:d8ef1fdfae1908ba869bc2fe08ef02e8b51a4dd2f1b3d8fa3bcd5a4c33218acf

Observation 9a12263d-a1ec-4510-a767-041acaa4fa02 · outbound

This paper cites Variational curriculum reinforcement learning for unsupervised discovery of skills.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Variational curriculum reinforcement learning for unsupervised discovery of skills

Reference 28

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source=arxiv_source observed=2026-08-04T09:13:42.003804Z digest=sha256:078f4f33290679996cdfd20b06a340c5a6b349fb3ad9e6603b617b0072917962

Observation 9b02b917-31a8-4c2d-9044-5b7ca7f5a9c0 · outbound

This paper cites Urlb: Unsupervised reinforcement learning benchmark.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Urlb: Unsupervised reinforcement learning benchmark

Reference 29

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source=arxiv_source observed=2026-08-04T09:13:42.137865Z digest=sha256:ce8d12f2d2ea149bbbf476f3dbc785d1a2a539303b2350515f35e0af23dc8362

Observation d6493173-d5f7-4868-b4e6-20c443719648 · outbound

This paper cites Learning Temporal Distances : Contrastive Successor Features Can Provide a Metric Structure for Decision-Making.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Learning Temporal Distances : Contrastive Successor Features Can Provide a Metric Structure for Decision-Making

Reference 30

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source=arxiv_source observed=2026-08-04T09:13:42.220660Z digest=sha256:34b0ea4b59effce5e78d88d277d1aae6d9b4eb440afd9b4280d660aed8589694

Observation cd9059e9-b2a1-47f8-876b-98086928dd8d · outbound

This paper cites Visual reinforcement learning with imagined goals.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Visual reinforcement learning with imagined goals

Reference 31

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source=arxiv_source observed=2026-08-04T09:13:42.323979Z digest=sha256:e448b79a598b3c05df1114d1655e5a473fde5de728c934a19d507e9c5da8a892

Observation 9e60e639-0f2a-450a-9eee-4f6007570b0f · outbound

This paper cites Ng and Stuart J.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Ng and Stuart J

Reference 32

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source=arxiv_source observed=2026-08-04T09:13:42.455819Z digest=sha256:2c59f7b75d4e5128088a61ce220df2fb5cd48e576693218aa4c92d34062f9497

Observation f9917932-8820-467f-8298-19e74cdf65d6 · outbound

This paper cites Octo: An open-source generalist robot policy.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Octo: An open-source generalist robot policy

Reference 33

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source=arxiv_source observed=2026-08-04T09:13:42.587587Z digest=sha256:6bfd2b956b7580199e4f3952b4bc80e67ef50f53b99fc51dca1bc8c70242459e

Observation cb46936d-9b86-47b9-86e5-9e44e2605a7b · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Representation Learning with Contrastive Predictive Coding

Reference 34

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source=arxiv_source observed=2026-08-04T09:13:42.702322Z digest=sha256:2bab1b55879dc8573062fc73fe452bd934b5f1e1665f7d84145005061b50e526

Observation 23208fef-b9b2-480f-97fd-fdc51c537970 · outbound

This paper cites Asymmetric self-play for automatic goal discovery in robotic manipulation.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Asymmetric self-play for automatic goal discovery in robotic manipulation

Reference 35

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source=arxiv_source observed=2026-08-04T09:13:42.758136Z digest=sha256:ec8d11c5f80eab404abd35d006bf393c437ff9c6793db3b58fc0be26233ce472

Observation aada6a38-8403-4dba-a29e-08cba8f192a2 · outbound

This paper cites Efros, and Trevor Darrell.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Efros, and Trevor Darrell

Reference 36

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source=arxiv_source observed=2026-08-04T09:13:42.836550Z digest=sha256:282308f602ffdc8b1527b9e4efa20dfe1a5c170fa9697d294c022fa957ec9f27

Observation a7f85e20-d2e7-442e-80df-4e453e33b435 · outbound

This paper cites Fast imitation via behavior foundation models.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Fast imitation via behavior foundation models

Reference 37

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source=arxiv_source observed=2026-08-04T09:13:42.923057Z digest=sha256:17e36158b7aab27d52bfca74a08a80ad11ebbb0113c33671a1e7df9bf66639f5

Observation b2e87f02-e280-4d7b-9352-3d269b26aa77 · outbound

This paper cites Maximum entropy gain exploration for long horizon multi-goal reinforcement learning.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Maximum entropy gain exploration for long horizon multi-goal reinforcement learning

Reference 38

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source=arxiv_source observed=2026-08-04T09:13:42.979411Z digest=sha256:0091b5070b95b8f984428576e8665367554787c890c1cc5b682a5efebbdd1c91

Observation ab4d95a2-01c7-491d-97bb-4135905ae3a5 · outbound

This paper cites Mars, and Sabine Hunnius.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Mars, and Sabine Hunnius

Reference 39

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verified exact
doi, observed 2026-08-04T09:19:41.601827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T09:13:43.199000Z digest=sha256:cac431aff8c40c1329715fc9e34c35a4ca23637d7084a7b4d1621602dbc9ee8f

Observation faa3e819-622a-4b6a-9c86-76a2713778f8 · outbound

This paper cites Pomerleau.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Pomerleau

Reference 40

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no resolver link, observed 2026-08-04T09:13:43.359512Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T09:13:43.359512Z digest=sha256:a720810ef7bf76a573ce5c3b935ec758aaa1b13cf9103d159745db35ef34d388

Observation ac747817-3d3b-47d2-bb4c-97ba83324c7e · outbound

This paper cites Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, and Sergey Levine.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, and Sergey Levine

Reference 41

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no resolver link, observed 2026-08-04T09:13:43.502039Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T09:13:43.502039Z digest=sha256:02a2f7e9fa1c7ecc520f39528204dc129f8cc1adfa37eaa0ad0051bcecd90522

Observation 2a9123f5-695d-4f51-9e5e-7051c01aea31 · outbound

This paper cites A generalist agent.

Consistent Zero-Shot Imitation with Contrastive Goal Inference A generalist agent

Reference 42

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no resolver link, observed 2026-08-04T09:13:43.647391Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T09:13:43.647391Z digest=sha256:e8e257d0a01dc611e377339a441617c58ec5f0a2fc1aa7039a2bcb10f13309ec

Observation d90bb985-c42b-4a32-baa3-27170d6f1817 · outbound

This paper cites A reduction of imitation learning and structured prediction to no-regret online learning.

Consistent Zero-Shot Imitation with Contrastive Goal Inference A reduction of imitation learning and structured prediction to no-regret online learning

Reference 43

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no resolver link, observed 2026-08-04T09:13:43.766494Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T09:13:43.766494Z digest=sha256:032cd82a28b01e0aa3af1042b16109a5bde8b3b2abc3b076ac0530b666477567

Observation d80a857d-b193-4492-8980-5d65faeeb44e · outbound

This paper cites Universal value function approximators.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Universal value function approximators

Reference 44

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no resolver link, observed 2026-08-04T09:13:43.891571Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T09:13:43.891571Z digest=sha256:b4f0110e46454e977e305cfe5680178c73ee3d2c1690ea80550c06e2725b3a97

Observation 82b2a3cb-db7e-45ad-b7bf-0f2bd16f9aaf · outbound

This paper cites Smile: Scalable meta inverse reinforcement learning through context-conditional policies.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Smile: Scalable meta inverse reinforcement learning through context-conditional policies

Reference 45

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unresolved
no resolver link, observed 2026-08-04T09:13:44.027911Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T09:13:44.027911Z digest=sha256:83933d2cc1056452bcb5ba7693ebe7de5475b25b308c70c8663f71cf3d129359

Observation 6e4f21bc-79db-4853-bed2-37e4dfe689b3 · outbound

This paper cites Mastering the game of go with deep neural networks and tree search.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Mastering the game of go with deep neural networks and tree search

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-04T09:13:44.203028Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T09:13:44.203028Z digest=sha256:54035b51bdcea11730f6ffd8e3bd6706e8a3a4ed63750d00e5af2fb5996b5423

Observation 60f17fd8-6fe3-45f6-b24a-d0f9f0fcac49 · outbound

This paper cites Stahl and Lisa Feigenson.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Stahl and Lisa Feigenson

Reference 47

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no resolver link, observed 2026-08-04T09:13:44.325710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:13:44.325710Z digest=sha256:22835604415c23221aaa95e014a34258a4ef5e2725b2f3077114d3817df72c55

Observation cf57dec7-32bd-41e5-9762-40d321ff9d41 · outbound

This paper cites Learning one representation to optimize all rewards.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Learning one representation to optimize all rewards

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-04T09:13:44.503585Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T09:13:44.503585Z digest=sha256:505f65191f808893c4ac03eaa456805dce2b203269dba9789c1e0186551a2ee2

Observation 398d1796-5be7-4e43-b705-574bf8d6acbe · outbound

This paper cites Optimal goal-reaching reinforcement learning via quasimetric learning.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Optimal goal-reaching reinforcement learning via quasimetric learning

Reference 49

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unresolved
no resolver link, observed 2026-08-04T09:13:44.671189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:13:44.671189Z digest=sha256:24eea6df68876d476205caca6dba1cac707438698417a5325e5311a4c4093a19

Observation 654b6e25-acf6-4c75-ab75-0a6419f0c76e · outbound

This paper cites Unsupervised control through non-parametric discriminative rewards.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Unsupervised control through non-parametric discriminative rewards

Reference 50

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no resolver link, observed 2026-08-04T09:13:44.807858Z

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source=arxiv_source observed=2026-08-04T09:13:44.807858Z digest=sha256:0a8dd74decec28cf67d4b9f644e487480b286d9e403cc4a0e80d4450d80c224c

Observation 82d6db6b-eb09-4abb-bf89-2ce82df9d26b · outbound

This paper cites Outracing champion gran turismo drivers with deep reinforcement learning.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Outracing champion gran turismo drivers with deep reinforcement learning

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-04T09:13:44.967363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:13:44.967363Z digest=sha256:93996a6cc3dc03028cd21e42f2c418b150d394450753c7b21fb92110d173eca9

Observation 870cb88d-5996-4736-ae55-a4bc744497ec · outbound

This paper cites Meta-inverse reinforcement learning with probabilistic context variables.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Meta-inverse reinforcement learning with probabilistic context variables

Reference 52

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no resolver link, observed 2026-08-04T09:13:45.071186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:13:45.071186Z digest=sha256:c223ec5b9399f74a221c14ce7e580ffce85db2abfb67a451bf99e113291f2517

Observation d0384562-177c-4940-b133-00a9e52b9452 · outbound

This paper cites One-shot imitation from observing humans via domain-adaptive meta-learning.

Consistent Zero-Shot Imitation with Contrastive Goal Inference One-shot imitation from observing humans via domain-adaptive meta-learning

Reference 53

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unresolved
no resolver link, observed 2026-08-04T09:13:45.200047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:13:45.200047Z digest=sha256:7a0db9bed6ff6783c268e7627c09586c6f6c8f3d15d120a570945e29de2f3bcb

Observation 23645e0e-ee35-4ef3-afba-d509455796b3 · outbound

This paper cites Maximum entropy inverse reinforcement learning.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Maximum entropy inverse reinforcement learning

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-04T09:13:45.315827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:13:45.315827Z digest=sha256:e50c1d74238e35602819fdf4c781007e97100fed20a6584731cf734be557bc09

Observation 35b39290-c102-4415-bfcc-594b03fa3fc2 · outbound

This paper cites Brown, and Anca D.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Brown, and Anca D

Reference 55

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no resolver link, observed 2026-08-04T09:13:45.480466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:13:45.480466Z digest=sha256:0c877369abbe7b8e4fc8fc5a9e0232c5e6f98b213148d63a443d69db2b08d0ff

Observation a5bed69c-756d-437b-bbe9-39533c8f78dc · outbound

This paper cites write newline.

Consistent Zero-Shot Imitation with Contrastive Goal Inference write newline

Reference 56

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unresolved
no resolver link, observed 2026-08-04T09:13:45.622822Z

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source=arxiv_source observed=2026-08-04T09:13:45.622822Z digest=sha256:59d11f4acebeac3791735784303a4964b7846089a6fd5deaf50b98619847c872

Observation 14c214e3-d300-4d91-bccf-0cfda30b598f · outbound

This paper cites @esa (Ref.

Consistent Zero-Shot Imitation with Contrastive Goal Inference @esa (Ref

Reference 57

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unresolved
no resolver link, observed 2026-08-04T09:13:45.791789Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T09:13:45.791789Z digest=sha256:9440a146932840d6f738b18f73c288d2d19be1f088ed9cb8bed0ad3def26b62e

Observation 37c08ce4-105c-4d6d-aae1-fdd6cfdb6c5b · outbound

This paper cites an unresolved cited work.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Unresolved cited work

Reference 58

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unresolved
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source=arxiv_source observed=2026-08-04T09:13:45.928079Z digest=sha256:67187d51fda322bf8365b1c9e5b2322d7e752b92373fae13e902ab1ee0ee801a

Observation a838e487-a640-4b6c-b825-64fd357dffef · outbound

This paper cites an unresolved cited work.

Consistent Zero-Shot Imitation with Contrastive Goal Inference Unresolved cited work

Reference 59

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unresolved
no resolver link, observed 2026-08-04T09:13:46.110853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:13:46.110853Z digest=sha256:868958c797e7041c4e4e5caf4a9cc9841639fcf08b3515de4244334fbdb77c88

Pith citing papers

No inbound Pith citation observations are available.