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Paper Citation Record · LEDGER

E2CL: Exploration-based Error Correction Learning for Embodied Agents

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.03256.

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

pith.paper-citation-record.v1
2409.03256 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T00:46:11.487704Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:26:11.315341Z

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 ac3112fb-31e5-44fb-9ed1-b6a372046669 · inbound

Environmental Understanding Vision-Language Model for Embodied Agent cites this paper.

Environmental Understanding Vision-Language Model for Embodied Agent E2CL: Exploration-based Error Correction Learning for Embodied Agents

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:26:11.323094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:36:52.685696Z digest=sha256:8f363f108131ee39d134f3ec99ee14e0738a930996b30895e58d1050d7b123e7

Observation c7515389-6d79-4d95-953e-103f9406dcfe · inbound

Leveraging Trajectory Graphs for Pre-Execution Error Diagnosis in Agentic LLM Systems cites this paper.

Leveraging Trajectory Graphs for Pre-Execution Error Diagnosis in Agentic LLM Systems E2CL: Exploration-based Error Correction Learning for Embodied Agents

Reference 48

Resolution
unresolved
no resolver link, observed 2026-07-31T00:46:11.487704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T00:46:11.487704Z digest=sha256:3fe7ac8ebfb6cfccba7a66b38ad98c31e3f775e6d0c3b3efb594225bc7414d19