Paper Citation Record · LEDGER

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies

As of 11 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2608.07065.

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

pith.paper-citation-record.v1
2608.07065 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:32:34.750912Z

measured 28 of 28 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

28 of 28 outbound references displayed

verified exact3
verified fuzzy20
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7fea40f8-55c4-4f7a-aedc-3a539ff4921b · outbound

This paper cites An algorithmic perspective on imitation learning,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies An algorithmic perspective on imitation learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:35.169820Z

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 7d111bcd-6bcc-42e6-864d-ac00ca200711 · outbound

This paper cites Diffeomorphic transforms for generalised imitation learning,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies Diffeomorphic transforms for generalised imitation learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:35.160249Z

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 a50f3811-d98a-4613-ba61-2bd7dc934f04 · outbound

This paper cites What matters in learning from offline human demonstrations for robot manipulation,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies What matters in learning from offline human demonstrations for robot manipulation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:35.151701Z

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 aa4d8645-8a42-4168-a2f6-64cad232e121 · outbound

This paper cites GTI: Learning to generalize across long-horizon tasks from human demonstrations,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies GTI: Learning to generalize across long-horizon tasks from human demonstrations,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:35.142841Z

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 ba1ac69e-4be4-4104-84a8-36081fbb6214 · outbound

This paper cites Learning fine-grained bimanual manipulation with low-cost hardware,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies Learning fine-grained bimanual manipulation with low-cost hardware,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T15:32:34.670155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccbeffef-788b-46e4-a903-3775be37a2fb · outbound

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

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies A reduction of imitation learning and structured prediction to no-regret online learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:35.127749Z

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 4bdd6925-1468-4392-9541-433a43cebbdf · outbound

This paper cites DART: Noise injection for robust imitation learning,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies DART: Noise injection for robust imitation learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:35.120131Z

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 8d4afb04-6569-4a2a-8e70-4fa861960da3 · outbound

This paper cites Unpacking failure modes of generative policies: Runtime monitoring of consistency and progress,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies Unpacking failure modes of generative policies: Runtime monitoring of consistency and progress,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:35.112180Z

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 abbf185e-6ee6-402b-87ba-e83b2b5478cc · outbound

This paper cites Rewind-IL: Online Failure Detection and State Respawning for Imitation Learning.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies Rewind-IL: Online Failure Detection and State Respawning for Imitation Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T15:32:34.685004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5192ae39-46db-4d35-ad2a-bdc6cc14cc63 · outbound

This paper cites HG-DAgger: Interactive imitation learning with human experts,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies HG-DAgger: Interactive imitation learning with human experts,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:35.099599Z

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 27ab3a55-39ad-4852-95ce-da5425388025 · outbound

This paper cites RaC: Robot Learning for Long-Horizon Tasks by Scaling Recovery and Correction.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies RaC: Robot Learning for Long-Horizon Tasks by Scaling Recovery and Correction

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T15:32:34.692315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7a3d052-ebad-4757-8fa3-4a884be8f1d4 · outbound

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

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:35.089823Z

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 15c0f6f5-835b-4732-a0d0-8b4c7933a4da · outbound

This paper cites FlowPolicy: Enabling fast and robust 3D flow-based policy via consistency flow matching for robot manipulation,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies FlowPolicy: Enabling fast and robust 3D flow-based policy via consistency flow matching for robot manipulation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:35.080479Z

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 857a1dce-738b-4df5-9f9f-db3a89cdffe6 · outbound

This paper cites Safe policies post-training: Constraining streaming flow models for adapting learned robot trajectory distributions,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies Safe policies post-training: Constraining streaming flow models for adapting learned robot trajectory distributions,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:35.070813Z

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 508dd7ec-c376-4b86-82fd-b34b0df1e4f2 · outbound

This paper cites LazyDAgger: Reducing context switching in in- teractive imitation learning,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies LazyDAgger: Reducing context switching in in- teractive imitation learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:35.060643Z

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 8167cdda-23dc-4eca-b0c7-4ebf91cc491e · outbound

This paper cites Efficient active imitation learning with random network distillation,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies Efficient active imitation learning with random network distillation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:35.051261Z

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 2c0d2607-f29c-42b6-9864-65af271e8de6 · outbound

This paper cites Error-aware imitation learning from teleoperation data for mobile manipulation,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies Error-aware imitation learning from teleoperation data for mobile manipulation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:35.041724Z

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 5d6e1cce-1dec-419d-a1d6-27886bc203dd · outbound

This paper cites ConditionNET: Learning preconditions and effects for execution monitoring,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies ConditionNET: Learning preconditions and effects for execution monitoring,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:35.030746Z

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 f564a119-50a6-4ad9-9cdc-799d94a49326 · outbound

This paper cites Can we detect failures without failure data? Uncertainty- Aware runtime failure detection for imitation learning policies,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies Can we detect failures without failure data? Uncertainty- Aware runtime failure detection for imitation learning policies,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:35.019841Z

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 8e9c83ed-a97d-46fb-862d-2113cf069d1c · outbound

This paper cites DOSE3 : Diffusion-based Out-of-distribution detection on SE(3) trajectories.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies DOSE3 : Diffusion-based Out-of-distribution detection on SE(3) trajectories

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:32:34.944039Z

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 170ff489-aba4-4143-a23c-f3fac01cf487 · outbound

This paper cites PATCH: Action- chunk-conditioned latent patch innovation monitoring for robot ma- nipulation,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies PATCH: Action- chunk-conditioned latent patch innovation monitoring for robot ma- nipulation,

Reference 21

Resolution: verified exact; raw_fallback, observed 2026-08-10T15:32:34.928975Z

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 fdc4b6f8-15e2-454f-99c4-b2394d0488c5 · outbound

This paper cites TriPilot-FF: Coordinated whole-body teleoperation with force feedback,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies TriPilot-FF: Coordinated whole-body teleoperation with force feedback,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T15:32:34.731029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4807597f-05e0-4648-a32c-8944dad9e956 · outbound

This paper cites Time-contrastive networks: Self-supervised learn- ing from video,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies Time-contrastive networks: Self-supervised learn- ing from video,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:35.008967Z

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 f1e1d415-45ac-4d7f-985b-2f0ac33fc1fb · outbound

This paper cites SCIL: Stage- conditioned imitation learning for multi-stage manipulation,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies SCIL: Stage- conditioned imitation learning for multi-stage manipulation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:34.993768Z

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 24c46cfb-a30e-41af-aa3d-846db5df768d · outbound

This paper cites TRACE: Trajectory-Routed Causal Memory for Delayed-Evidence Visuomotor Imitation.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies TRACE: Trajectory-Routed Causal Memory for Delayed-Evidence Visuomotor Imitation

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:32:34.792472Z

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 52c3fbf0-8b02-4263-81e6-3c6a172e0c14 · outbound

This paper cites Human-in-the-Loop Imitation Learning using Remote Teleoperation.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies Human-in-the-Loop Imitation Learning using Remote Teleoperation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T15:32:34.744985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e2fa2be-f58c-4c29-8397-98b048648461 · outbound

This paper cites Experience replay for continual learning,.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies Experience replay for continual learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:34.982912Z

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 70c53221-06e2-4a39-97e9-a8729ee13b5d · outbound

This paper cites Siméoniet al., “DINOv3,”Transactions on Machine Learning Research, 2026.

AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies Siméoniet al., “DINOv3,”Transactions on Machine Learning Research, 2026

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:32:34.973218Z

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.

Pith citing papers

No inbound Pith citation observations are available.