Pith. sign in

Paper Citation Record · LEDGER

CAPE: Corrective Actions from Precondition Errors using Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2211.09935.

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

pith.paper-citation-record.v1
2211.09935 v3

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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:36:19.761379Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T01:25:54.555926Z

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 1d0bbb7e-0cfc-40cb-aa51-125a6d7ae447 · inbound

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models cites this paper.

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models CAPE: Corrective Actions from Precondition Errors using Large Language Models

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-13T08:57:22.521665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T08:57:22.299028Z digest=sha256:974208e95ca0f75de63731e2a8a8240d6948663651a393d94699ef41bfedd72a

Observation 4f755bee-a11a-462e-858f-37d3742df965 · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey CAPE: Corrective Actions from Precondition Errors using Large Language Models

Reference 257

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:47:50.916631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T10:47:44.152066Z digest=sha256:e6d078af9048bd36b9f3c3171378edf4971a4fed4970db2033fcb125c9689811

Observation 42ea6872-7499-4323-99ee-75a65f206d9b · inbound

A Survey on Vision-Language-Action Models for Embodied AI cites this paper.

A Survey on Vision-Language-Action Models for Embodied AI CAPE: Corrective Actions from Precondition Errors using Large Language Models

Reference 158

Resolution
verified exact
arxiv_id, observed 2026-05-24T01:25:54.558549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T01:25:10.150459Z digest=sha256:97b9dc802fa47b2ca001ef1c7f8a46aaaf2dc87bc21e47237c570089041e8184

Observation 701809b2-914a-4035-93cb-fac0ee82b896 · inbound

AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code cites this paper.

AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code CAPE: Corrective Actions from Precondition Errors using Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T14:36:19.761379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:36:19.761379Z digest=sha256:0ba80bab4b4cadfdee9296b3153512f88585198442b5fedf5a3540677c5e6c48

Observation ed089f68-6e41-4e26-9452-d27ad990ae1e · inbound

Triple-S: A Collaborative Multi-LLM Framework for Solving Long-Horizon Implicative Tasks in Robotics cites this paper.

Triple-S: A Collaborative Multi-LLM Framework for Solving Long-Horizon Implicative Tasks in Robotics CAPE: Corrective Actions from Precondition Errors using Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T22:11:49.375303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:11:49.375303Z digest=sha256:12aa062a609fb8632b90646c896ceac200bf982f0ce8b0fa44a9b2f4143c39f9