Paper Citation Record · LEDGER

InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.19758.

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

pith.paper-citation-record.v1
2405.19758 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:00:47.917123Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T03:02:00.232427Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 84fcded3-3631-41dc-997b-0001585a36e2 · inbound

Visual Error Patterns in Multi-Modal AI: A Statistical Approach cites this paper.

Visual Error Patterns in Multi-Modal AI: A Statistical Approach InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T11:42:45.172586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a332e0f7-2085-4d34-9f74-f4dd6123d8ee · inbound

Bilevel Learning for Bilevel Planning cites this paper.

Bilevel Learning for Bilevel Planning InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T00:02:02.257233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddc1091f-4c1a-4a66-8dbf-9b6c0d9e7291 · inbound

Extracting Visual Plans from Unlabeled Videos via Symbolic Guidance cites this paper.

Extracting Visual Plans from Unlabeled Videos via Symbolic Guidance InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T22:00:47.917123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8ff2a33-ce69-4a47-8e40-4c07ea76043e · inbound

UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning cites this paper.

UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:02:00.236486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 282916d3-944b-4c36-9d68-f6087076f7ef · inbound

Any House Any Task: Scalable Long-Horizon Planning for Abstract Human Tasks cites this paper.

Any House Any Task: Scalable Long-Horizon Planning for Abstract Human Tasks InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T06:05:29.481392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 955efa83-40d9-458b-a992-0713450c0263 · inbound

Kintsugi: Learning Policies by Repairing Executable Knowledge Bases cites this paper.

Kintsugi: Learning Policies by Repairing Executable Knowledge Bases InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:31:28.558086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.