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Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:42:45.172586Z

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.

source=pdf_text observed=2026-08-12T11:42:45.172586Z digest=sha256:636aff446c2978d90e4e517532d232bb8fd81de6057d5fac50f4ffc8f12bf25c

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.

source=pdf_text observed=2026-08-08T00:02:02.257233Z digest=sha256:f3a229afa77423c54de4949b14ff6edff3f792c68c0f04c4b0ee6ac0e9660c26

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T03:00:28.619627Z digest=sha256:e220f11790a082e5a4e003336a2e701157a2e6c0902172939089c7c7b8728645

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.

source=pdf_text observed=2026-08-04T06:05:29.481392Z digest=sha256:d7781fa5e373967c034ad86401aaf896be159295627af5e76ed98b0d5516faf8

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T04:11:13.607637Z digest=sha256:15d4d7757ffe77d9d6c07e54b4ab1ddd7b985b4f27834cb25a226e0676ce0f94