Paper Citation Record · LEDGER

ConditionNET: Learning Preconditions and Effects for Execution Monitoring

As of 22 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2502.01167.

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

pith.paper-citation-record.v1
2502.01167 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:25:31.918171Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

34 of 34 outbound references displayed

verified exact0
verified fuzzy28
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 417825ab-b00d-4242-8868-6aa2f05c154a · outbound

This paper cites A review of robot learning for manipulation: Challenges, representations, and algorithms,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring A review of robot learning for manipulation: Challenges, representations, and algorithms,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.285278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d0f310ed-3683-457b-8686-9e2fff4c0fed · outbound

This paper cites Grounding Classical Task Planners via Vision-Language Models.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Grounding Classical Task Planners via Vision-Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T16:25:31.812157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b70e142a-ab9f-4bab-8239-db173c2ea854 · outbound

This paper cites Long-Horizon Planning and Execution with Functional Object-Oriented Networks,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Long-Horizon Planning and Execution with Functional Object-Oriented Networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.274582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2da0fe4c-b3ed-416d-95c6-8c26676adcf6 · outbound

This paper cites Multi-level task learning based on intention and constraint inference for autonomous robotic manipulation,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Multi-level task learning based on intention and constraint inference for autonomous robotic manipulation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.264620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d10d6ef6-42f7-4d90-adac-7a8e682e60fa · outbound

This paper cites Intuitive programming of conditional tasks by demonstration of multiple solutions,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Intuitive programming of conditional tasks by demonstration of multiple solutions,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.254251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 76fdf744-77f3-4cf4-a951-dccaa3ad0db6 · outbound

This paper cites Representing robot task plans as robust logical-dynamical systems,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Representing robot task plans as robust logical-dynamical systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.244438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 99fd969c-c248-4988-9abb-d5a47ae41d1d · outbound

This paper cites Pddl - the planning domain definition language,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Pddl - the planning domain definition language,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.234542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c9551290-8e9e-4216-a781-d4c783553ee5 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Learning transferable visual models from natural language supervision,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.224396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5163f9f6-da69-4b72-96a9-bad5dd7149ec · outbound

This paper cites Instructblip: Towards general-purpose vision-language models with instruction tuning,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Instructblip: Towards general-purpose vision-language models with instruction tuning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.214894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4d39d77f-fbfe-4502-95ac-65bf883f7c73 · outbound

This paper cites The safety filter: A unified view of safety-critical control in autonomous systems,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring The safety filter: A unified view of safety-critical control in autonomous systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.205222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 40fa8231-daf7-4fe3-ad0c-335016ecd101 · outbound

This paper cites Collaborative programming of conditional robot tasks,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Collaborative programming of conditional robot tasks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.195690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fe075fa3-9519-4ca7-b935-ef1a6a4088b4 · outbound

This paper cites Anomaly detection for insertion tasks in robotic assembly using gaus- sian process models,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Anomaly detection for insertion tasks in robotic assembly using gaus- sian process models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.185641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 11892ded-4ac7-47f9-b901-a6ae901c8863 · outbound

This paper cites Hmms for anomaly detection in autonomous robots,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Hmms for anomaly detection in autonomous robots,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.175064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b2406f30-e78b-4297-83fb-9cebd1d80f00 · outbound

This paper cites Multimodal anomaly detection for assistive robots,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Multimodal anomaly detection for assistive robots,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.164866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5b3716f3-c1a6-4cb1-9bb4-531770b64785 · outbound

This paper cites Regularized parameter estimation in high-dimensional gaussian mixture models,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Regularized parameter estimation in high-dimensional gaussian mixture models,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.154845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eb511aeb-b729-4208-95cf-b8789793d52a · outbound

This paper cites Multimodal anomaly detection based on deep auto-encoder for object slip perception of mobile ma- nipulation robots,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Multimodal anomaly detection based on deep auto-encoder for object slip perception of mobile ma- nipulation robots,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.144131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d48ac6fb-3ee4-47ca-956f-e3e820b6544a · outbound

This paper cites Multimodal detection and clas- sification of robot manipulation failures,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Multimodal detection and clas- sification of robot manipulation failures,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.133344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eb86ec85-d543-4294-9a55-3dcad4827339 · outbound

This paper cites Clue-ai: A convolutional three-stream anomaly identification framework for robot manipulation,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Clue-ai: A convolutional three-stream anomaly identification framework for robot manipulation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.122831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f66288ea-459f-4aae-94da-6873de5d73c7 · outbound

This paper cites Fino-net: A deep multimodal sensor fusion framework for manipulation failure detection,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Fino-net: A deep multimodal sensor fusion framework for manipulation failure detection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.112930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7793cbf3-01b9-4501-97fd-783d2e05e6a0 · outbound

This paper cites Inner monologue: Embodied reasoning through planning with language models,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Inner monologue: Embodied reasoning through planning with language models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.102533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 61e4d6d1-8a58-4466-b57a-456697e4199e · outbound

This paper cites Vision-Language Models as Success Detectors.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Vision-Language Models as Success Detectors

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T16:25:31.876125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94727dac-d325-40eb-be8d-7ce386334ae8 · outbound

This paper cites REFLECT: Summarizing robot experiences for failure explanation and correction,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring REFLECT: Summarizing robot experiences for failure explanation and correction,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.091451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 31ea07b6-dea5-4d2b-ab39-f7a623a93137 · outbound

This paper cites A survey of behavior trees in robotics and ai,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring A survey of behavior trees in robotics and ai,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.080730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1148c708-b852-4cd1-8970-142c9c2ae0be · outbound

This paper cites Learning strips action models with classical planning,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Learning strips action models with classical planning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.070537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cbbe48cf-a520-4486-8263-e0a216f32a40 · outbound

This paper cites Learning symbolic operators for task and motion planning,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Learning symbolic operators for task and motion planning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.059348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eb8d6efd-ec02-488d-8839-a703f619258a · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring PaLM-E: An Embodied Multimodal Language Model

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T16:25:31.892309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 699c84a8-9218-48f0-ab51-915d07821e60 · outbound

This paper cites Dinov2: Learning robust visual features without supervision,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Dinov2: Learning robust visual features without supervision,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.048634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bad58e21-e1be-4c8c-bcc5-44747f67c42a · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Representation Learning with Contrastive Predictive Coding

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T16:25:31.898749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9a639ae-8de0-4892-988b-b3104cdb6b4e · outbound

This paper cites ChatGPT (May 16 version ),.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring ChatGPT (May 16 version ),

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.037638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6f82fed5-3913-4f01-a7c9-3273ab60890c · outbound

This paper cites Attention is all you need,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Attention is all you need,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T16:25:31.905559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2c43f0b-0378-47ea-b7e7-2d6baf59de65 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.021272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a491f1a4-5a6e-4e61-a5e6-9243344d1385 · outbound

This paper cites Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:32.010348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 278e2853-a28a-434c-8d4a-e3b0f39bf30f · outbound

This paper cites AllenNLP: A deep semantic natural language processing platform,.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring AllenNLP: A deep semantic natural language processing platform,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T16:25:31.999434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9491bbe5-ea4a-4a59-b292-f4cdad2135d5 · outbound

This paper cites OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.

ConditionNET: Learning Preconditions and Effects for Execution Monitoring OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T16:25:31.918171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.