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Paper Citation Record · LEDGER

The intrinsic motivation of reinforcement and imitation learning for sequential tasks

As of 23 August 2026, this Paper Citation Record lists 100 of 185 outbound references and 0 inbound Pith citation observations for arXiv:2412.20573.

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

pith.paper-citation-record.v1
2412.20573 v1

Coverage vector

measured 100 of 185 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:21:38.978074Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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 185 outbound references displayed

  • verified exact17
  • verified fuzzy0
  • unresolved78
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b56ea0d-5202-4ba8-b5fa-68aee91a4e98 · outbound

This paper cites Value preserving state-action abstractions.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Value preserving state-action abstractions

Reference 1

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Observation b711d206-4b16-4956-b3f7-3a1d19c461d2 · outbound

This paper cites Andry, P.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Andry, P

Reference 2

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Observation d8b3505b-dbc9-40d4-9339-6e8614658f22 · outbound

This paper cites Prerequisite structure discovery for an intelligent tutoring system based on intrinsic motivation.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Prerequisite structure discovery for an intelligent tutoring system based on intrinsic motivation

Reference 4

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Observation 199ee879-f92a-40ed-88d7-f0275db13dc1 · outbound

This paper cites Unsupervised motion retargeting for human-robot imitation.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Unsupervised motion retargeting for human-robot imitation

Reference 5

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Observation 9957cc68-7eff-426a-b75f-bd9ccb21b431 · outbound

This paper cites A computerized recognition system for the home-based physiotherapy exercises using an rgbd camera.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks A computerized recognition system for the home-based physiotherapy exercises using an rgbd camera

Reference 6

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Observation 99e6772f-9d2a-4eec-a9eb-7e665bbf1dde · outbound

This paper cites an unresolved cited work.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Unresolved cited work

Reference 7

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Observation 37a420ff-9069-42b6-b292-5caeac133898 · outbound

This paper cites Argall, Sonia Chernova, Manuela Veloso, and Brett Browning.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Argall, Sonia Chernova, Manuela Veloso, and Brett Browning

Reference 8

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Observation 25e46aa2-6087-4398-8f89-142967e66083 · outbound

This paper cites Argall, B.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Argall, B

Reference 9

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source=arxiv_source observed=2026-08-10T23:21:38.401706Z digest=sha256:7b75d783f133c4522e47411f073517435ba1ee613a33839d674e333ffe95d006

Observation 7aaad3ec-0c63-4d24-bc94-fa312f5de39b · outbound

This paper cites A survey on interactive reinforcement learning: Design principles and open challenges.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks A survey on interactive reinforcement learning: Design principles and open challenges

Reference 10

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Observation 11a68608-195e-4310-96a1-1593a6eddaba · outbound

This paper cites MacDorman, Hiroshi Ishiguro, and Yasuo Kuniyoshi.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks MacDorman, Hiroshi Ishiguro, and Yasuo Kuniyoshi

Reference 11

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Source-reported events for the cited work

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Observation 561754fa-0123-4806-af09-d816b45871ea · outbound

This paper cites Cognitive developmental robotics: a survey.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Cognitive developmental robotics: a survey

Reference 12

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Observation 20094c07-fae9-435e-b6b7-99fcf29c6383 · outbound

This paper cites Online human activity recognition employing hierarchical hidden markov models, 2019.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Online human activity recognition employing hierarchical hidden markov models, 2019

Reference 13

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Observation e9dc2ada-25a8-4e13-88d5-c22859f4054a · outbound

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The intrinsic motivation of reinforcement and imitation learning for sequential tasks Unresolved cited work

Reference 14

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Observation 16b58725-60f8-4cbf-b37c-9be383ebb436 · outbound

This paper cites Social learning theory, 1971.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Social learning theory, 1971

Reference 15

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Observation e4bc3a2f-b0aa-4441-9232-eafe46bb6402 · outbound

This paper cites Barto and Sridhar Mahadevan.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Barto and Sridhar Mahadevan

Reference 16

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Observation 5e3d3227-a5ea-42a9-bd14-a333f9507cce · outbound

This paper cites Behavioral hierarchy: exploration and representation.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Behavioral hierarchy: exploration and representation

Reference 17

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Observation 0835a0e7-a4a0-4ac9-b2f5-0ab94656a583 · outbound

This paper cites an unresolved cited work.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Unresolved cited work

Reference 18

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Observation 4f4cf086-de30-4738-9027-4fe333493367 · outbound

This paper cites Infants' preferences for native speakers are associated with an expectation of information.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Infants' preferences for native speakers are associated with an expectation of information

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation da412e14-f920-4f57-ac29-b4acacd89a1b · outbound

This paper cites Curriculum learning.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Curriculum learning

Reference 20

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Observation 3a9f69c5-f7e3-4f61-bf73-d43dd4ce68a1 · outbound

This paper cites Siegward.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Siegward

Reference 21

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Observation 0a249c39-ba50-44ee-987e-7f3a7d41d831 · outbound

This paper cites Handbook of Robotics, chapter Robot Programming by Demonstration.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Handbook of Robotics, chapter Robot Programming by Demonstration

Reference 22

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Observation d3a2cf66-a007-45ac-800c-83846e077077 · outbound

This paper cites Technical feasibility of supervision of stretching exercises by a humanoid robot coach for chronic low back pain: The r-cool randomized trial.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Technical feasibility of supervision of stretching exercises by a humanoid robot coach for chronic low back pain: The r-cool randomized trial

Reference 23

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4df506d3-e0a9-4172-9e1a-6c60571c9799 · outbound

This paper cites Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation for Daily Living Activity Recognition, pages 4764 -- 4771.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation for Daily Living Activity Recognition, pages 4764 -- 4771

Reference 24

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a514e803-657e-43fe-8e8e-6295e04b7943 · outbound

This paper cites Fully convolutional network bootstrapped by word encoding and embedding for activity recognition in smart homes.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Fully convolutional network bootstrapped by word encoding and embedding for activity recognition in smart homes

Reference 25

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation fdf99d20-e55b-4546-a109-d0aca29b3143 · outbound

This paper cites Using language model to bootstrap human activity recognition ambient sensors based in smart homes.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Using language model to bootstrap human activity recognition ambient sensors based in smart homes

Reference 26

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source=arxiv_source observed=2026-08-10T23:21:38.482446Z digest=sha256:5fa694e5fdba58e0fa05447510c13747c2b13faf534bfb804ef4023983173b35

Observation f4c441c8-bb8d-44c5-9eeb-c86ac0944743 · outbound

This paper cites A survey of human activity recognition in smart homes based on iot sensors algorithms: Taxonomies, challenges, and opportunities with deep learning.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks A survey of human activity recognition in smart homes based on iot sensors algorithms: Taxonomies, challenges, and opportunities with deep learning

Reference 27

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source=arxiv_source observed=2026-08-10T23:21:38.486550Z digest=sha256:5b00b9c4b922c3a6cfecb07307fc51626a1498ee0c256f4dc7c81ddae7d832e1

Observation 5e717f40-9eb7-43df-8491-de7282a21ece · outbound

This paper cites What if time, or past context, improved human activity recognition in smart homes? In IEEE ICCE, Da Nang, Viet Nam, 2022.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks What if time, or past context, improved human activity recognition in smart homes? In IEEE ICCE, Da Nang, Viet Nam, 2022

Reference 28

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Observation 566d3568-7a45-4135-bc64-524caf6f58f3 · outbound

This paper cites A smart home digital twin to support the recognition of activities of daily living.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks A smart home digital twin to support the recognition of activities of daily living

Reference 29

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 55965de5-641c-47ef-853e-4f0082f81f2d · outbound

This paper cites Reconnaissance d'activit \'e s de la vie quotidienne au moyen de capteurs domotiques et d'apprentissage profond: lorsque syntaxe, s \'e mantique et contexte se rencontrent.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Reconnaissance d'activit \'e s de la vie quotidienne au moyen de capteurs domotiques et d'apprentissage profond: lorsque syntaxe, s \'e mantique et contexte se rencontrent

Reference 30

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 55fd1bb2-7f1d-4a8a-a4a1-7594d44e4fc2 · outbound

This paper cites Representation of irregularly sampled time series with generative language models for classification and transfer learning: a case study in activities of daily living recognition.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Representation of irregularly sampled time series with generative language models for classification and transfer learning: a case study in activities of daily living recognition

Reference 31

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Observation bf7a1dfd-92cd-4d0b-9b07-84fc5c7182b5 · outbound

This paper cites Scassellati.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Scassellati

Reference 32

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source=arxiv_source observed=2026-08-10T23:21:38.509537Z digest=sha256:d1749bf9849e698173c5451fade1332df137d0437d68183040755caac987b974

Observation 136e5176-aecc-4282-86d3-4d7f4ed49566 · outbound

This paper cites an unresolved cited work.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Unresolved cited work

Reference 33

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Observation 5cbe9cde-fcfe-4d58-9724-4ca75bb2be26 · outbound

This paper cites Robot Programming by Demonstration: A Probabilistic Approach.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Robot Programming by Demonstration: A Probabilistic Approach

Reference 34

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source=arxiv_source observed=2026-08-10T23:21:38.518643Z digest=sha256:caa7de757e18ae843d7d8c1791d738a2e19266b5cc8f4dc7a566059f46ce38a1

Observation 2fe035b2-9ed2-4a4a-8957-30bdef712fe5 · outbound

This paper cites Call and M.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Call and M

Reference 35

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source=arxiv_source observed=2026-08-10T23:21:38.522532Z digest=sha256:b20bb99369023050a478ce865ce34dec2831085b6655284d4ad0ff1a7b383b74

Observation 8f447ec1-5c4b-4ad5-97d1-c07fc13c943e · outbound

This paper cites Cognitive Robotics.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Cognitive Robotics

Reference 36

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T23:21:38.526533Z digest=sha256:afc9ab6666a3d7396d4eb7d56974f56d5ea304ea9bce36feb90269e000885cd4

Observation 014230e1-1cd5-4de0-9df0-365dec43dd0b · outbound

This paper cites Developmental robotics: From babies to robots.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Developmental robotics: From babies to robots

Reference 37

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source=arxiv_source observed=2026-08-10T23:21:38.531541Z digest=sha256:db3a59343609a370239d84447559cf43b12b6189464b3e2a0d1a7d9362f962d2

Observation 49cf1f1d-7021-455f-96e0-3c107a7041e8 · outbound

This paper cites The kimore dataset: Kinematic assessment of movement and clinical scores for remote monitoring of physical rehabilitation.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks The kimore dataset: Kinematic assessment of movement and clinical scores for remote monitoring of physical rehabilitation

Reference 38

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Observation e444881d-76a9-4a0f-bfaf-d8ee03221b66 · outbound

This paper cites Interactive policy learning through confidence-based autonomy.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Interactive policy learning through confidence-based autonomy

Reference 39

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Observation 74c73fc6-8ca2-4f8d-8bb5-8aa8976928fc · outbound

This paper cites Deep reinforcement learning from human preferences.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Deep reinforcement learning from human preferences

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source=arxiv_source observed=2026-08-10T23:21:38.544665Z digest=sha256:6765f737265f8f1ca6269992a9b1c7393edc19193d42065746ec25fae2410c00

Observation 8a889890-f8ac-4db7-9220-736bc6d5123c · outbound

This paper cites On Integrating Apprentice Learning and Reinforcement Learning.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks On Integrating Apprentice Learning and Reinforcement Learning

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source=arxiv_source observed=2026-08-10T23:21:38.550138Z digest=sha256:deebc3015dff0dcdd7bf3aa274a19d76ef645b9c6486ace01d9e5d8d06fa72c1

Observation b45bec11-85d7-4dea-a15c-db6e5d2cda7d · outbound

This paper cites an unresolved cited work.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Unresolved cited work

Reference 42

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source=arxiv_source observed=2026-08-10T23:21:38.555370Z digest=sha256:6d515ed385eafca05316c1e8ae0c3656fdde6b02bfa369b2cfaffaac5b1e9cda

Observation 380c3863-c32a-4115-a5ab-6e04f4b93b26 · outbound

This paper cites CURIOUS : Intrinsically motivated modular multi-goal reinforcement learning.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks CURIOUS : Intrinsically motivated modular multi-goal reinforcement learning

Reference 43

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source=arxiv_source observed=2026-08-10T23:21:38.559605Z digest=sha256:e21667c1d9fe31d617cf602ad075ec4a1520f83b7a8bfefdad47cdd2d91a79b7

Observation 4dc0cfa6-58dc-4f14-8255-8f33445ec3f7 · outbound

This paper cites Casas: A smart home in a box.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Casas: A smart home in a box

Reference 44

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source=arxiv_source observed=2026-08-10T23:21:38.564633Z digest=sha256:845f37b4590556c55804fec0af8576793b8da1911d8dcdfdebc18dcdcfb0db26

Observation 5142942d-368c-4416-88c2-bc752e163e99 · outbound

This paper cites Teleological and referential understanding of action in infancy.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Teleological and referential understanding of action in infancy

Reference 45

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source=arxiv_source observed=2026-08-10T23:21:38.569300Z digest=sha256:c81a962e1f9b39551e26f0d6dbc5e15c1fa6875a4cd9df47335e591b99ed04af

Observation a502c1e6-7238-4f85-94dd-a5841b221bce · outbound

This paper cites an unresolved cited work.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Unresolved cited work

Reference 46

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source=arxiv_source observed=2026-08-10T23:21:38.573088Z digest=sha256:9dd0bd279ac10e717cecc62ef8cac14da04651c429caa91d3df0af0b2a8184c8

Observation 4a26c035-332b-40ba-9b46-03185b2c0e19 · outbound

This paper cites Kaspar--a minimally expressive humanoid robot for human--robot interaction research.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Kaspar--a minimally expressive humanoid robot for human--robot interaction research

Reference 47

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source=arxiv_source observed=2026-08-10T23:21:38.576966Z digest=sha256:03c306a0f66b47efa8241ec47f0df7f3ec3b1195588aa4ffceadd6a102b9f428

Observation f0fe6e6a-46c2-45f8-8d00-72c8c093d553 · outbound

This paper cites Feudal reinforcement learning.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Feudal reinforcement learning

Reference 48

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T23:21:38.580696Z digest=sha256:6a816a211d92a0d1d9ea9566b7c82edc21dae9c2eee708315f8b9bc5b6f720da

Observation b33086f7-ce58-4e6d-be04-770699771fea · outbound

This paper cites Multi-level motion analysis for physical exercises assessment in kinaesthetic rehabilitation.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Multi-level motion analysis for physical exercises assessment in kinaesthetic rehabilitation

Reference 49

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source=arxiv_source observed=2026-08-10T23:21:38.585626Z digest=sha256:802ab02f1919408e992ea96d01d70c9d911de8cead21362300a597532be346e7

Observation 65cdc3b7-d725-43c4-b210-11aeab0c69a2 · outbound

This paper cites Generating shared latent variables for robots to imitate human movements and understand their physical limitations.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Generating shared latent variables for robots to imitate human movements and understand their physical limitations

Reference 50

Resolution
verified exact
doi, observed 2026-08-10T23:21:39.717500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T23:21:38.590330Z digest=sha256:3f568203ba35af02e41f6cd1c5527aba3587ccb8bb3f1b0cd43c4e1c75584ae2

Observation 9867f845-44e9-4ffa-b042-186884d43bb0 · outbound

This paper cites A co-design approach for a rehabilitation robot coach for physical rehabilitation based on the error classification of motion errors.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks A co-design approach for a rehabilitation robot coach for physical rehabilitation based on the error classification of motion errors

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T23:21:38.596188Z digest=sha256:511e32489e384ce9308b5bb84b573cf59b77ed702a95d238487fc35ba9d8a27f

Observation 1de6dd10-2ae1-42cb-9148-367017d75a57 · outbound

This paper cites Recognition of activities of daily living via hierarchical long-short term memory networks.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Recognition of activities of daily living via hierarchical long-short term memory networks

Reference 52

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raw_fallback, observed 2026-08-10T23:21:42.432710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T23:21:38.600513Z digest=sha256:65df289798be918066deb76ee1710bd2c790cddc0effd1089be79c3a2c3d227c

Observation 6f222a46-cdd2-4027-bdb7-33815e2b0321 · outbound

This paper cites The toronto rehab stroke pose dataset to detect compensation during stroke rehabilitation therapy.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks The toronto rehab stroke pose dataset to detect compensation during stroke rehabilitation therapy

Reference 53

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source=arxiv_source observed=2026-08-10T23:21:38.604484Z digest=sha256:f0a3e5b1d29a8e703f6226577ce6c8397db74dc75dc654e905508d40ef1bb226

Observation 8eb27ec0-781e-43e2-b984-614aba24d60b · outbound

This paper cites Roijers, Beno \^ t Girard, Nicolas Perrin, and Olivier Sigaud.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Roijers, Beno \^ t Girard, Nicolas Perrin, and Olivier Sigaud

Reference 54

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source=arxiv_source observed=2026-08-10T23:21:38.608888Z digest=sha256:853e4a1536823700e7656f27b77d2506695bfc1d5ea4dd5a2bcd6cbd3e5cd9fc

Observation ed85afb3-4c3b-4b0c-9e3e-151767028f51 · outbound

This paper cites Strategic and interactive learning of a hierarchical set of tasks by the Poppy humanoid robot.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Strategic and interactive learning of a hierarchical set of tasks by the Poppy humanoid robot

Reference 55

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T23:21:38.613310Z digest=sha256:2c075a5775176909c4b9f315118e4bf509952c911d3126dc96fb0dad888c7ae4

Observation 1e3e411b-6d1e-4762-a8ae-59fc643031b0 · outbound

This paper cites Learning sequences of policies by using an intrinsically motivated learner and a task hierarchy.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Learning sequences of policies by using an intrinsically motivated learner and a task hierarchy

Reference 56

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T23:21:38.618007Z digest=sha256:6629f47eb0bcc9f4eb7f4c5f208f7321d860a42c14cc57a8c6b9a6130c3467e9

Observation 68fcde28-f2f1-486f-b929-35f5e12cf60e · outbound

This paper cites Effects of social guidance on a robot learning sequences of policies in hierarchical learning.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Effects of social guidance on a robot learning sequences of policies in hierarchical learning

Reference 57

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T23:21:38.622682Z digest=sha256:d85b07313785c7817ac848367ae9cbc34f1e36997dd1682e5c9252e7c22ce171

Observation 508ca71d-ed73-4b04-90ae-2375d4fe50ac · outbound

This paper cites Learning a set of interrelated tasks by using sequences of motor policies for a strategic intrinsically motivated learner.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Learning a set of interrelated tasks by using sequences of motor policies for a strategic intrinsically motivated learner

Reference 58

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source=arxiv_source observed=2026-08-10T23:21:38.630266Z digest=sha256:dd67fe4e7f11eafe0b29a513fcba180493efaea41b58913edb893ea4443f488c

Observation 80c4ff54-cc2c-4eb7-a8a8-525431091c0b · outbound

This paper cites Learning a set of interrelated tasks by using a succession of motor policies for a socially guided intrinsically motivated learner.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Learning a set of interrelated tasks by using a succession of motor policies for a socially guided intrinsically motivated learner

Reference 59

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source=arxiv_source observed=2026-08-10T23:21:38.636030Z digest=sha256:6d62788a1a7ed26453de784d52d7b204f0d869660be7c3f6ba92bb8f17f49ed7

Observation 1bf101da-6d3a-4289-9918-d74da0c4fda5 · outbound

This paper cites Intrinsically motivated open-ended multi-task learning using transfer learning to discover task hierarchy.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Intrinsically motivated open-ended multi-task learning using transfer learning to discover task hierarchy

Reference 60

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source=arxiv_source observed=2026-08-10T23:21:38.640503Z digest=sha256:328dea336ee477cd00b3545e01f3f486e8add715bd6745cc85b3138542e0d761

Observation 5e624ed8-c87c-4169-9445-8f7382f75bf4 · outbound

This paper cites How the mind creates structure: Hierarchical learning of action sequences.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks How the mind creates structure: Hierarchical learning of action sequences

Reference 61

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T23:21:38.645207Z digest=sha256:eaba64e670b73f01be0c818905fb0373b5a08642df046b36a59fddd38bddd499

Observation 25182d42-17f7-43b2-acc1-f925490ce16d · outbound

This paper cites Search on the replay buffer: Bridging planning and reinforcement learning.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Search on the replay buffer: Bridging planning and reinforcement learning

Reference 62

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source=arxiv_source observed=2026-08-10T23:21:38.650848Z digest=sha256:0a4eb54f594a301b641eb170f340ff25ad0d7eba859b2b50ea8d670090862070

Observation 507db700-69b5-4cf4-aa72-e22c9b2e5b5b · outbound

This paper cites an unresolved cited work.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Unresolved cited work

Reference 63

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verified exact
raw_fallback, observed 2026-08-10T23:21:41.853107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T23:21:38.656567Z digest=sha256:764e9d0440717247b9899830f299cbd8437ea6ee695724399359b7e4b481a7d2

Observation df25dbaa-c13d-4161-88ee-ec17fbb50294 · outbound

This paper cites an unresolved cited work.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Unresolved cited work

Reference 64

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T23:21:38.660776Z digest=sha256:bd8438f64dbe438478ee11f432cb7fc27779c5d7b6de2a7e67a7185ade85f98f

Observation 30659cdb-bdaf-4dcb-bdc1-0587738e4734 · outbound

This paper cites Clic: Curriculum learning and imitation for object control in non-rewarding environments.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Clic: Curriculum learning and imitation for object control in non-rewarding environments

Reference 65

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source=arxiv_source observed=2026-08-10T23:21:38.664535Z digest=sha256:a167c46d15de6a623b95704a16ecb07bc907ffd3f008de7ab7a1d11b830f50c1

Observation 66dffd5a-0c92-4156-b80e-81b8e4df0eca · outbound

This paper cites El-Yacoubi, and Ons Jelassi.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks El-Yacoubi, and Ons Jelassi

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source=arxiv_source observed=2026-08-10T23:21:38.827630Z digest=sha256:759131e8c8f39d0068bbff566fe2bc362a2e8e74bbfc3a5d2ea372c1d1eb383c

Observation 1323b569-d5ec-4817-8f39-d05ea5bf5bf5 · outbound

This paper cites El-Yacoubi, Eric Fenaux, and Stephan Clemencon.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks El-Yacoubi, Eric Fenaux, and Stephan Clemencon

Reference 67

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source=arxiv_source observed=2026-08-10T23:21:38.832359Z digest=sha256:fcceaec67b90605a1cfb8c5947148c2ba2f4cd688a56877eb1ce45a78c82b1fa

Observation 0b938948-4f2a-4a44-90ea-a291bdcadae5 · outbound

This paper cites Towards deep symbolic reinforcement learning, 2016.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Towards deep symbolic reinforcement learning, 2016

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source=arxiv_source observed=2026-08-10T23:21:38.836181Z digest=sha256:0736d63c3284a09bb32d3b231d3b7fcce569e70a40e6217040f0f325203a3f14

Observation f80a9365-c30c-4eeb-80c9-75ca705f1bea · outbound

This paper cites Learning actionable representations with goal conditioned policies.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Learning actionable representations with goal conditioned policies

Reference 69

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source=arxiv_source observed=2026-08-10T23:21:38.840416Z digest=sha256:da58bca739dc6fea7880400ec1d188cd223b5f47e613a19752512e688699c8a4

Observation 0a62db0b-1201-40be-8170-65285c852e51 · outbound

This paper cites an unresolved cited work.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Unresolved cited work

Reference 70

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.844412Z digest=sha256:5d5d48e1379c9f5cb5b34bae5c8bf7bd05bb4dc10687b0ee01eaa26866c0512b

Observation 158fdb4a-15a3-4117-99fa-21374da2a8b5 · outbound

This paper cites Information-seeking, curiosity, and attention: computational and neural mechanisms.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Information-seeking, curiosity, and attention: computational and neural mechanisms

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.848614Z digest=sha256:50b20eca0791420ab831234201fea27d54c8af8477bd54263894bb5fea329b12

Observation f7b0ac00-b79d-417d-9f2c-d74879689ce7 · outbound

This paper cites Grafton and Antonia F.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Grafton and Antonia F

Reference 72

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.852908Z digest=sha256:6f7991981696783f7eff49e269240d87228a8f76f3a65f0b738c285f985bb999

Observation 20712f61-0cdf-47b1-a095-e3921612e1db · outbound

This paper cites Evidential fusion of sensor data for activity recognition in smart homes.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Evidential fusion of sensor data for activity recognition in smart homes

Reference 73

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.857196Z digest=sha256:d99a8a3423452e3b26a0861e2a1729018899a6ed4ded668ba05c528772d7f098

Observation 2a1ba99c-6eeb-46b4-aea1-8ba0a01cd40c · outbound

This paper cites McIlraith.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks McIlraith

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Resolution
verified exact
doi, observed 2026-08-10T23:21:39.673021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T23:21:38.861529Z digest=sha256:2e2d8d1c2ab6f2953506bfdf1faaf005fbfbb6022a73686ae3882d1f6d390059

Observation dde46bdc-ee95-467b-925a-86789b2469c0 · outbound

This paper cites Object learning through active exploration.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Object learning through active exploration

Reference 75

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T23:21:41.688540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T23:21:38.865972Z digest=sha256:c1c7fc98e529db06f0a806425e2ae1ce5d44914a59821ea66d8606f07a7d8d61

Observation 2b1152a2-f0df-4176-b813-0cab60fcfb61 · outbound

This paper cites Bridging natural language and emergent representation in hierarchical reinforcement learning.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Bridging natural language and emergent representation in hierarchical reinforcement learning

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.869944Z digest=sha256:9aefa2c9357a08bd0fe333cd36887858817cf5e8d0b1cd36310675c81be4dcf3

Observation c07b29d2-904a-4240-8f17-f46eca8b77d4 · outbound

This paper cites Llm to bridge human instructions with a dynamic symbolic representation in hierarchical reinforcement learning.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Llm to bridge human instructions with a dynamic symbolic representation in hierarchical reinforcement learning

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.873776Z digest=sha256:2da7bab44c5660a152aba7f57e4d414e26247c28ff0b038ae256dea3cc3e19cb

Observation 192df395-5646-4f0e-831c-276ef361cd74 · outbound

This paper cites Dynamic symbolic representation and LLM to enhance task abstraction in hierarchical reinforcement learning.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Dynamic symbolic representation and LLM to enhance task abstraction in hierarchical reinforcement learning

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.878299Z digest=sha256:2f7c2d8141cdf10a61d8586466c6388b000d059134c9aec990987ad5794b03c8

Observation c282a45f-dcf2-4954-ba31-99d3e67087f0 · outbound

This paper cites The body in the mind: The bodily basis of meaning, imagination, and reason.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks The body in the mind: The bodily basis of meaning, imagination, and reason

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.883414Z digest=sha256:b54724f3a30a328cb93809110015bd1f79675405876216390d5eec3b823ff72a

Observation 97876def-784c-4a96-b0e5-783698bb3db9 · outbound

This paper cites Goliah (gaming open library for intervention in autism at home): a 6-month single blind matched controlled exploratory study.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Goliah (gaming open library for intervention in autism at home): a 6-month single blind matched controlled exploratory study

Reference 80

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verified exact
doi, observed 2026-08-10T23:21:39.660522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T23:21:38.887417Z digest=sha256:090a0e36e7b278bcca84ec624e46f47b31f3ac1c3ba144145bbd5de64d226c19

Observation b8abdcf8-d41e-49d9-842e-df6b5b991a11 · outbound

This paper cites Fern, Thomas G.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Fern, Thomas G

Reference 81

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.891749Z digest=sha256:7b35936826f496421b3edfb5eb40b22701f201727dbced3c4aee0598df45a08c

Observation 55bc069f-8494-4868-b051-af9dc3ec647c · outbound

This paper cites Mirroring effect in 2- and 3-year-olds with autism spectrum disorder.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Mirroring effect in 2- and 3-year-olds with autism spectrum disorder

Reference 82

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verified exact
doi, observed 2026-08-10T23:21:39.645594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T23:21:38.896093Z digest=sha256:9969ab71dad4b8ba7afe3fb4b5b8979dbf48d6f3afc1fa5d923ddd01eb017b92

Observation ea01137e-caa2-491d-8a89-485b0fb9ec66 · outbound

This paper cites Assessing self-maintenance: activities of daily living, mobility, and instrumental activities of daily living.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Assessing self-maintenance: activities of daily living, mobility, and instrumental activities of daily living

Reference 83

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no resolver link, observed 2026-08-10T23:21:38.900217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.900217Z digest=sha256:d03036ea71945b8aa7248ca3722e189941c788d6c0d9dd0b60c7c1e2b334930d

Observation 28309206-0263-4a99-96d3-f4aa6e95a6ed · outbound

This paper cites e s, Fabrice Gzil, Ben Hicks, Anthea Innes, Sao Mai Nguyen, Louise Nyg rd, Maribel Pino, Guillaume Sacco, Eric Salmon, Henri \.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks e s, Fabrice Gzil, Ben Hicks, Anthea Innes, Sao Mai Nguyen, Louise Nyg rd, Maribel Pino, Guillaume Sacco, Eric Salmon, Henri \

Reference 84

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no resolver link, observed 2026-08-10T23:21:38.904030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.904030Z digest=sha256:2f8da921703d28f89d7f477d72e11057e51a156bcbe4f2a24ad6b2c41f2e9fdd

Observation dd2b085e-f32e-4b62-9647-92d0da700503 · outbound

This paper cites Bradley Knox, Peter Stone, and Cynthia Breazeal.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Bradley Knox, Peter Stone, and Cynthia Breazeal

Reference 85

Resolution
verified exact
doi, observed 2026-08-10T23:21:39.630960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T23:21:38.908538Z digest=sha256:932705004343b9afc28fd204ee98e45c27e1c6ca3f923140bcf7d291440b278d

Observation a011e6e4-697e-47e6-8ad3-0d70f3e65010 · outbound

This paper cites an unresolved cited work.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Unresolved cited work

Reference 86

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no resolver link, observed 2026-08-10T23:21:38.912917Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T23:21:38.912917Z digest=sha256:89885efad464b748cc852f982840e463f32041951b41677e3c3be0d2d161c1ad

Observation cc31fa65-53f5-4a7d-9d99-c036a02758aa · outbound

This paper cites Krakauer and Reza Shadmehr.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Krakauer and Reza Shadmehr

Reference 87

Resolution
verified exact
doi, observed 2026-08-10T23:21:39.616965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T23:21:38.917643Z digest=sha256:031bf168904c6fef3fd508adf57f6b98b6e9d5702d823392e8712f724cac8ba6

Observation f2baecb5-66e7-42e5-b0bb-65c8f6418092 · outbound

This paper cites Combining social and intrinsically motivated learning for multitask robot skill acquisition.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Combining social and intrinsically motivated learning for multitask robot skill acquisition

Reference 88

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.921941Z digest=sha256:3404227b0b0f5c22db4027c28562574d64dec46bd044e1b0c9033ae82f976855

Observation 12222618-e29e-4310-b6bb-cb4919fee09e · outbound

This paper cites Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation

Reference 89

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no resolver link, observed 2026-08-10T23:21:38.926108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.926108Z digest=sha256:2f6ef5684bfd86ed132597c9e5010ff4d0214a58edea2ac388d5ed8d01723b5d

Observation 5aa1a6a0-365e-415d-8fbd-cdcc5b5aa2db · outbound

This paper cites Benchmarking human motion analysis using kinect one: An open source dataset.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Benchmarking human motion analysis using kinect one: An open source dataset

Reference 90

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no resolver link, observed 2026-08-10T23:21:38.930225Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T23:21:38.930225Z digest=sha256:92dafd0b3833ef70b581d419a2f9e3da85e5df80da61a4e3a77e14c42c2e6391

Observation adb85eea-fbfd-4072-9768-1a9bee5f5cd5 · outbound

This paper cites Active hierarchical exploration with stable subgoal representation learning.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Active hierarchical exploration with stable subgoal representation learning

Reference 91

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no resolver link, observed 2026-08-10T23:21:38.934075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.934075Z digest=sha256:8fd3eb97191122dacd26e4a28c28d1c50286c8286778929fd3b10f5686b986de

Observation 83a90cc5-ddd9-434d-beac-f751a5e94122 · outbound

This paper cites Blending imitation and reinforcement learning for robust policy improvement.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Blending imitation and reinforcement learning for robust policy improvement

Reference 92

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T23:21:38.938110Z digest=sha256:689f8f4dcb6814e45194d155a592c3d498d95ac055d2a8637e67bf4cc5aeb6f2

Observation 3dfda276-ddb1-46bd-bd5e-353635370f67 · outbound

This paper cites From Motor to Interaction Learning in Robots, chapter Abstraction Levels for Robotic Imitation: Overview and Computational Approaches.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks From Motor to Interaction Learning in Robots, chapter Abstraction Levels for Robotic Imitation: Overview and Computational Approaches

Reference 93

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source=arxiv_source observed=2026-08-10T23:21:38.942348Z digest=sha256:072d96a144631e9dbe5e5db9d5cd2211ea881e565646b089a60a669659a85404

Observation 7eeec9e3-8e81-4806-a34d-681b06178b90 · outbound

This paper cites Lungarella, Giorgio Metta, R.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Lungarella, Giorgio Metta, R

Reference 94

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source=arxiv_source observed=2026-08-10T23:21:38.946613Z digest=sha256:e9fffcac3a3ebc698909f6ae318abf385842a11bd6d798edfdf625f2e574eec4

Observation c446ebf3-a344-4c01-b3b9-966a3695e789 · outbound

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

The intrinsic motivation of reinforcement and imitation learning for sequential tasks What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Reference 95

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no resolver link, observed 2026-08-10T23:21:38.950962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.950962Z digest=sha256:c3deef9bef68fa7feedf72894fd504860e4c3bfe5f90602ff5d90b78920b93ac

Observation d2dca8ae-252d-4333-9c93-cf0b671ea4e4 · outbound

This paper cites Chime: An adaptive hierarchical representation for continuous intrinsically motivated exploration.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Chime: An adaptive hierarchical representation for continuous intrinsically motivated exploration

Reference 96

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no resolver link, observed 2026-08-10T23:21:38.955456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.955456Z digest=sha256:f03638319fafa26652b09e653c245aa002231d86a66e1f6e95345a0a38ba7317

Observation 5451f5c0-d977-4247-bdc0-2f9bfe4e1291 · outbound

This paper cites Hierarchical affordance discovery using intrinsic motivation.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Hierarchical affordance discovery using intrinsic motivation

Reference 97

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metadata mismatch
raw_fallback, observed 2026-08-10T23:21:41.444132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-10T23:21:38.959670Z digest=sha256:b1b13f48b15cfe49383742fca3af7762c39dd8dae2cc403f258aefa3904b586b

Observation 4db93423-958f-4f13-91b6-6f863f1af99b · outbound

This paper cites Analyzing data efficiency and performance of machine learning algorithms for assessing low back pain physical rehabilitation exercises.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Analyzing data efficiency and performance of machine learning algorithms for assessing low back pain physical rehabilitation exercises

Reference 98

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no resolver link, observed 2026-08-10T23:21:38.965512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.965512Z digest=sha256:e8152d918858ccdfa31a9be5d96bfbe13d68304c468909cc0140a8a00d8ff403

Observation af58865b-c249-4ebd-b09b-87bd4136d0e6 · outbound

This paper cites Evaluating kinect, openpose and blazepose for human body movement analysis on a low back pain physical rehabilitation dataset.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Evaluating kinect, openpose and blazepose for human body movement analysis on a low back pain physical rehabilitation dataset

Reference 99

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no resolver link, observed 2026-08-10T23:21:38.970162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.970162Z digest=sha256:907124da5beff78267bc624985e648ac3c241ed4c250820df9d0dd811053cb04

Observation a542a7ac-7841-4ddb-b242-5a115f5579c6 · outbound

This paper cites Physioformer: A spatio-temporal transformer for physical rehabilitation assessmen.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Physioformer: A spatio-temporal transformer for physical rehabilitation assessmen

Reference 100

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no resolver link, observed 2026-08-10T23:21:38.974181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.974181Z digest=sha256:3a9db4d1dcee915c4d816c001ac5522449e4121939fa835489f8d204cdb58c13

Observation 5e9e0fd2-b7d2-4698-bcdf-30a11f62164a · outbound

This paper cites Intellirehabds (irds) - a dataset of physical rehabilitation movements.

The intrinsic motivation of reinforcement and imitation learning for sequential tasks Intellirehabds (irds) - a dataset of physical rehabilitation movements

Reference 101

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:38.978074Z digest=sha256:c7b9d6901900829e778214e7b93c7af451e59a56e65d7358c2c3626aeb1e120c

Pith citing papers

No inbound Pith citation observations are available.