Paper Citation Record · LEDGER

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors

As of 11 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 3 inbound Pith citation observations for arXiv:2501.12633.

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

pith.paper-citation-record.v1
2501.12633 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:05:29.071278Z

measured 45 of 45 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:42:58.307441Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T19:23:53.741950Z

Reference resolution

42 of 42 outbound references displayed

verified exact2
verified fuzzy20
unresolved20
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e31c651a-b48a-4060-8030-3f71ccc54dd5 · outbound

This paper cites an unresolved cited work.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Unresolved cited work

Reference 1

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Observation 2babc4da-bd78-4ce4-a79a-dd5003996cba · outbound

This paper cites an unresolved cited work.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:05:29.851954Z

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Observation 06928f22-99a3-4fb0-955e-5b7b5fe850c1 · outbound

This paper cites Ashwood, Nicholas A.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Ashwood, Nicholas A

Reference 3

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Observation 890e67a3-8726-4d3a-afb5-bf6a446529a2 · outbound

This paper cites an unresolved cited work.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Unresolved cited work

Reference 4

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Observation f8c7b837-2bf0-49fe-ab1f-a1f58ea797e5 · outbound

This paper cites Reinforcement learning with lstm in non-markovian tasks with longterm dependencies.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Reinforcement learning with lstm in non-markovian tasks with longterm dependencies

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:29.831416Z

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Observation 1282d7ee-2698-4720-bfb5-35e74d3ac728 · outbound

This paper cites Option-aware adversarial inverse reinforcement learning for robotic control.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Option-aware adversarial inverse reinforcement learning for robotic control

Reference 6

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Observation 43de4f6b-770f-4ca3-9b3f-37463e1cea94 · outbound

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

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Learning robust rewards with adverserial inverse reinforcement learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T17:05:28.957197Z

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Observation dffccea0-607c-405b-ae09-dcaaaf4276f6 · outbound

This paper cites Iq-learn: Inverse soft-q learning for imitation.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Iq-learn: Inverse soft-q learning for imitation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:29.814666Z

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Observation 6f25f3a1-887d-4b1c-a0c9-9960b0861ff1 · outbound

This paper cites Reinforcement learning with deep energy-based policies.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Reinforcement learning with deep energy-based policies

Reference 9

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

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:29.798644Z

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Observation 427144c5-0c2f-43ce-88b5-91edca1dbbf3 · outbound

This paper cites Area-specificity and plasticity of history-dependent value coding during learning.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Area-specificity and plasticity of history-dependent value coding during learning

Reference 11

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Source-reported events for the cited work

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Observation c5c50c21-94f8-4111-8cc6-0c453c3277bd · outbound

This paper cites Deep recurrent q-learning for partially observable mdps.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Deep recurrent q-learning for partially observable mdps

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:29.788619Z

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Observation fa6ed0f0-96c9-453a-8637-935da7e403ff · outbound

This paper cites Can ai predict animal movements? filling gaps in animal trajectories using inverse reinforcement learning.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Can ai predict animal movements? filling gaps in animal trajectories using inverse reinforcement learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:29.778941Z

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Observation 2f2eb347-f708-452c-b819-0ec3daf43d64 · outbound

This paper cites Vime: Variational information maximizing exploration.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Vime: Variational information maximizing exploration

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:29.768677Z

Source-reported events for the cited work

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Observation 4103dd3f-95b1-4c01-ac9c-6248f1fafbc8 · outbound

This paper cites The what, how, and why of naturalistic behavior.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors The what, how, and why of naturalistic behavior

Reference 15

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Observation 9d79c6b3-84ee-4c1a-94cb-793bb61daef1 · outbound

This paper cites Recurrent switching linear dynamical systems.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Recurrent switching linear dynamical systems

Reference 16

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Source-reported events for the cited work

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Observation 1de4615a-6cf6-4980-a309-d20ee000f3e8 · outbound

This paper cites Spontaneous behaviour is structured by reinforcement without explicit reward.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Spontaneous behaviour is structured by reinforcement without explicit reward

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:29.758259Z

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.

Observation 897886ba-5686-4cec-9104-bde448a1cdd1 · outbound

This paper cites Neural mechanisms underlying the temporal organization of naturalistic animal behavior.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Neural mechanisms underlying the temporal organization of naturalistic animal behavior

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:29.748647Z

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.

Observation 8ba32143-773c-44da-b6c7-1827de1a3ed3 · outbound

This paper cites Ng and Stuart J.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Ng and Stuart J

Reference 19

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Source-reported events for the cited work

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Observation e0baeb92-cfd2-447d-8c1a-7ee6aad6784e · outbound

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Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Inverse reinforcement learning with locally consistent reward functions

Reference 20

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Observation 0ab91280-6518-42cc-8831-eaf8884f6c9b · outbound

This paper cites Neural Map: Structured Memory for Deep Reinforcement Learning.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Neural Map: Structured Memory for Deep Reinforcement Learning

Reference 21

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Observation ba0d4822-8f84-4231-aa2a-2259be80926c · outbound

This paper cites Inverse reinforcement learning of bird flocking behavior.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Inverse reinforcement learning of bird flocking behavior

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:29.717394Z

Source-reported events for the cited work

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Observation ea2be7f1-1628-401d-88af-fd0ee16ec21e · outbound

This paper cites Mice in a labyrinth show rapid learning, sudden insight, and efficient exploration.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Mice in a labyrinth show rapid learning, sudden insight, and efficient exploration

Reference 23

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Observation dd59d97c-f7dc-4b11-a245-a941a9a686f6 · outbound

This paper cites Obtaining reward functions of rats using inverse reinforcement learning.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Obtaining reward functions of rats using inverse reinforcement learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:29.707238Z

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Observation a564e214-214c-4827-a054-5d47c3763555 · outbound

This paper cites Active sensing with predictive coding and uncertainty minimization.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Active sensing with predictive coding and uncertainty minimization

Reference 25

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Observation 299d3dd6-e37f-4c77-9a1c-ba5ec95589c8 · outbound

This paper cites Latent Variable Models for Characterizing the Dynamic Structure Underlying Complex Behaviors.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Latent Variable Models for Characterizing the Dynamic Structure Underlying Complex Behaviors

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:29.697431Z

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Observation 9bd69652-71cb-4681-b458-9cec253884de · outbound

This paper cites Bayesian nonparametric inverse reinforcement learning for switched markov decision processes.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Bayesian nonparametric inverse reinforcement learning for switched markov decision processes

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:29.687576Z

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Observation ed2aa13e-5143-443e-be81-8636624f3247 · outbound

This paper cites Dyna, an integrated architecture for learning, planning, and reacting.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Dyna, an integrated architecture for learning, planning, and reacting

Reference 28

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Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Keypoint-moseq: parsing behavior by linking point tracking to pose dynamics

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:29.670162Z

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Observation 1f5fe048-d2d1-414f-9316-5b995af711ea · outbound

This paper cites Mapping sub-second structure in mouse behavior.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Mapping sub-second structure in mouse behavior

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:29.659566Z

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Observation 46462f06-c652-4c83-b02d-3fb2003331b5 · outbound

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Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Unresolved cited work

Reference 31

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Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Inverse reinforcement learning with the average reward criterion

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:29.650153Z

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Observation 1b85156d-480c-4efa-a8a7-02b44159334a · outbound

This paper cites Imitating Language via Scalable Inverse Reinforcement Learning.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Imitating Language via Scalable Inverse Reinforcement Learning

Reference 33

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This paper cites Identification of animal behavioral strategies by inverse reinforcement learning.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Identification of animal behavioral strategies by inverse reinforcement learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:29.640503Z

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Observation 464930bb-32d5-420a-957f-c511a27d0462 · outbound

This paper cites Maximum-likelihood inverse reinforcement learning with finite-time guarantees.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Maximum-likelihood inverse reinforcement learning with finite-time guarantees

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:29.630114Z

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This paper cites Multi-intention inverse q-learning for interpretable behavior representation.

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Multi-intention inverse q-learning for interpretable behavior representation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:05:29.618872Z

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Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Ziebart, Andrew Maas, J

Reference 37

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Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Ziebart, J

Reference 38

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Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors write newline

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Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors @esa (Ref

Reference 40

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Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Unresolved cited work

Reference 41

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Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Unresolved cited work

Reference 42

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Pith citing papers

Observation c51944cb-860f-43b7-bdd3-aa00e00e696b · inbound

Distributional Inverse Reinforcement Learning cites this paper.

Distributional Inverse Reinforcement Learning Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors

Reference 27

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Improving Zero-Shot Offline RL via Behavioral Task Sampling cites this paper.

Improving Zero-Shot Offline RL via Behavioral Task Sampling Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors

Reference 12

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Observation da554326-c531-43e7-bf51-d82c82b18576 · inbound

Probabilistic Recurrent Intention Switching Model cites this paper.

Probabilistic Recurrent Intention Switching Model Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors

Reference 2

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